mini-gte / model_card.md
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metadata
model-index:
  - name: mini-gte
    results:
      - dataset:
          config: en-ext
          name: MTEB AmazonCounterfactualClassification (en-ext)
          revision: e8379541af4e31359cca9fbcf4b00f2671dba205
          split: test
          type: mteb/amazon_counterfactual
        metrics:
          - type: accuracy
            value: 75.41980000000001
          - type: f1
            value: 62.3176
          - type: f1_weighted
            value: 79.8725
          - type: ap
            value: 23.511699999999998
          - type: ap_weighted
            value: 23.511699999999998
          - type: main_score
            value: 75.41980000000001
        task:
          type: Classification
      - dataset:
          config: en
          name: MTEB AmazonCounterfactualClassification (en)
          revision: e8379541af4e31359cca9fbcf4b00f2671dba205
          split: test
          type: mteb/amazon_counterfactual
        metrics:
          - type: accuracy
            value: 74.9254
          - type: f1
            value: 68.8673
          - type: f1_weighted
            value: 77.208
          - type: ap
            value: 37.7515
          - type: ap_weighted
            value: 37.7515
          - type: main_score
            value: 74.9254
        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB AmazonPolarityClassification (default)
          revision: e2d317d38cd51312af73b3d32a06d1a08b442046
          split: test
          type: mteb/amazon_polarity
        metrics:
          - type: accuracy
            value: 92.9432
          - type: f1
            value: 92.9276
          - type: f1_weighted
            value: 92.9276
          - type: ap
            value: 89.2272
          - type: ap_weighted
            value: 89.2272
          - type: main_score
            value: 92.9432
        task:
          type: Classification
      - dataset:
          config: en
          name: MTEB AmazonReviewsClassification (en)
          revision: 1399c76144fd37290681b995c656ef9b2e06e26d
          split: test
          type: mteb/amazon_reviews_multi
        metrics:
          - type: accuracy
            value: 53.093999999999994
          - type: f1
            value: 52.7369
          - type: f1_weighted
            value: 52.7369
          - type: main_score
            value: 53.093999999999994
        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB ArguAna (default)
          revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
          split: test
          type: mteb/arguana
        metrics:
          - type: ndcg_at_1
            value: 31.935000000000002
          - type: ndcg_at_3
            value: 47.302
          - type: ndcg_at_5
            value: 51.878
          - type: ndcg_at_10
            value: 56.691
          - type: ndcg_at_20
            value: 59.233000000000004
          - type: ndcg_at_100
            value: 60.185
          - type: ndcg_at_1000
            value: 60.268
          - type: map_at_1
            value: 31.935000000000002
          - type: map_at_3
            value: 43.433
          - type: map_at_5
            value: 45.976
          - type: map_at_10
            value: 47.992000000000004
          - type: map_at_20
            value: 48.721
          - type: map_at_100
            value: 48.875
          - type: map_at_1000
            value: 48.878
          - type: recall_at_1
            value: 31.935000000000002
          - type: recall_at_3
            value: 58.535000000000004
          - type: recall_at_5
            value: 69.63000000000001
          - type: recall_at_10
            value: 84.353
          - type: recall_at_20
            value: 94.16799999999999
          - type: recall_at_100
            value: 99.004
          - type: recall_at_1000
            value: 99.644
          - type: precision_at_1
            value: 31.935000000000002
          - type: precision_at_3
            value: 19.512
          - type: precision_at_5
            value: 13.926
          - type: precision_at_10
            value: 8.434999999999999
          - type: precision_at_20
            value: 4.707999999999999
          - type: precision_at_100
            value: 0.9900000000000001
          - type: precision_at_1000
            value: 0.1
          - type: mrr_at_1
            value: 32.1479
          - type: mrr_at_3
            value: 43.5159
          - type: mrr_at_5
            value: 46.0266
          - type: mrr_at_10
            value: 48.0549
          - type: mrr_at_20
            value: 48.7839
          - type: mrr_at_100
            value: 48.9375
          - type: mrr_at_1000
            value: 48.9407
          - type: nauc_ndcg_at_1_max
            value: -5.219399999999999
          - type: nauc_ndcg_at_1_std
            value: -8.7799
          - type: nauc_ndcg_at_1_diff1
            value: 17.3229
          - type: nauc_ndcg_at_3_max
            value: -4.1722
          - type: nauc_ndcg_at_3_std
            value: -10.2796
          - type: nauc_ndcg_at_3_diff1
            value: 12.007900000000001
          - type: nauc_ndcg_at_5_max
            value: -2.8244
          - type: nauc_ndcg_at_5_std
            value: -10.061399999999999
          - type: nauc_ndcg_at_5_diff1
            value: 12.914700000000002
          - type: nauc_ndcg_at_10_max
            value: -1.9805
          - type: nauc_ndcg_at_10_std
            value: -9.298
          - type: nauc_ndcg_at_10_diff1
            value: 13.2042
          - type: nauc_ndcg_at_20_max
            value: -2.8091999999999997
          - type: nauc_ndcg_at_20_std
            value: -8.886
          - type: nauc_ndcg_at_20_diff1
            value: 13.297
          - type: nauc_ndcg_at_100_max
            value: -3.2574
          - type: nauc_ndcg_at_100_std
            value: -8.9642
          - type: nauc_ndcg_at_100_diff1
            value: 13.811300000000001
          - type: nauc_ndcg_at_1000_max
            value: -3.449
          - type: nauc_ndcg_at_1000_std
            value: -9.1654
          - type: nauc_ndcg_at_1000_diff1
            value: 13.7018
          - type: nauc_map_at_1_max
            value: -5.219399999999999
          - type: nauc_map_at_1_std
            value: -8.7799
          - type: nauc_map_at_1_diff1
            value: 17.3229
          - type: nauc_map_at_3_max
            value: -4.6242
          - type: nauc_map_at_3_std
            value: -10.002600000000001
          - type: nauc_map_at_3_diff1
            value: 13.1613
          - type: nauc_map_at_5_max
            value: -3.9825
          - type: nauc_map_at_5_std
            value: -9.8649
          - type: nauc_map_at_5_diff1
            value: 13.6516
          - type: nauc_map_at_10_max
            value: -3.7236
          - type: nauc_map_at_10_std
            value: -9.589699999999999
          - type: nauc_map_at_10_diff1
            value: 13.8496
          - type: nauc_map_at_20_max
            value: -3.9856000000000003
          - type: nauc_map_at_20_std
            value: -9.514100000000001
          - type: nauc_map_at_20_diff1
            value: 13.8627
          - type: nauc_map_at_100_max
            value: -4.025399999999999
          - type: nauc_map_at_100_std
            value: -9.5227
          - type: nauc_map_at_100_diff1
            value: 13.953199999999999
          - type: nauc_map_at_1000_max
            value: -4.0324
          - type: nauc_map_at_1000_std
            value: -9.5284
          - type: nauc_map_at_1000_diff1
            value: 13.9494
          - type: nauc_recall_at_1_max
            value: -5.219399999999999
          - type: nauc_recall_at_1_std
            value: -8.7799
          - type: nauc_recall_at_1_diff1
            value: 17.3229
          - type: nauc_recall_at_3_max
            value: -2.7011
          - type: nauc_recall_at_3_std
            value: -11.0878
          - type: nauc_recall_at_3_diff1
            value: 8.5412
          - type: nauc_recall_at_5_max
            value: 1.7892000000000001
          - type: nauc_recall_at_5_std
            value: -10.6963
          - type: nauc_recall_at_5_diff1
            value: 10.569
          - type: nauc_recall_at_10_max
            value: 9.9486
          - type: nauc_recall_at_10_std
            value: -6.7249
          - type: nauc_recall_at_10_diff1
            value: 9.8241
          - type: nauc_recall_at_20_max
            value: 15.8614
          - type: nauc_recall_at_20_std
            value: 4.7526
          - type: nauc_recall_at_20_diff1
            value: 7.015200000000001
          - type: nauc_recall_at_100_max
            value: 40.8859
          - type: nauc_recall_at_100_std
            value: 57.965500000000006
          - type: nauc_recall_at_100_diff1
            value: 30.7703
          - type: nauc_recall_at_1000_max
            value: 24.2175
          - type: nauc_recall_at_1000_std
            value: 70.9234
          - type: nauc_recall_at_1000_diff1
            value: 5.9272
          - type: nauc_precision_at_1_max
            value: -5.219399999999999
          - type: nauc_precision_at_1_std
            value: -8.7799
          - type: nauc_precision_at_1_diff1
            value: 17.3229
          - type: nauc_precision_at_3_max
            value: -2.7011
          - type: nauc_precision_at_3_std
            value: -11.0878
          - type: nauc_precision_at_3_diff1
            value: 8.5412
          - type: nauc_precision_at_5_max
            value: 1.7892000000000001
          - type: nauc_precision_at_5_std
            value: -10.6963
          - type: nauc_precision_at_5_diff1
            value: 10.569
          - type: nauc_precision_at_10_max
            value: 9.9486
          - type: nauc_precision_at_10_std
            value: -6.7249
          - type: nauc_precision_at_10_diff1
            value: 9.8241
          - type: nauc_precision_at_20_max
            value: 15.8614
          - type: nauc_precision_at_20_std
            value: 4.7526
          - type: nauc_precision_at_20_diff1
            value: 7.015200000000001
          - type: nauc_precision_at_100_max
            value: 40.8859
          - type: nauc_precision_at_100_std
            value: 57.965500000000006
          - type: nauc_precision_at_100_diff1
            value: 30.7703
          - type: nauc_precision_at_1000_max
            value: 24.2175
          - type: nauc_precision_at_1000_std
            value: 70.9234
          - type: nauc_precision_at_1000_diff1
            value: 5.9272
          - type: nauc_mrr_at_1_max
            value: -5.0572
          - type: nauc_mrr_at_1_std
            value: -8.9378
          - type: nauc_mrr_at_1_diff1
            value: 16.6938
          - type: nauc_mrr_at_3_max
            value: -4.7721
          - type: nauc_mrr_at_3_std
            value: -10.054
          - type: nauc_mrr_at_3_diff1
            value: 12.529399999999999
          - type: nauc_mrr_at_5_max
            value: -4.2183
          - type: nauc_mrr_at_5_std
            value: -9.9133
          - type: nauc_mrr_at_5_diff1
            value: 12.964800000000002
          - type: nauc_mrr_at_10_max
            value: -3.9058
          - type: nauc_mrr_at_10_std
            value: -9.6638
          - type: nauc_mrr_at_10_diff1
            value: 13.198199999999998
          - type: nauc_mrr_at_20_max
            value: -4.173
          - type: nauc_mrr_at_20_std
            value: -9.590300000000001
          - type: nauc_mrr_at_20_diff1
            value: 13.194
          - type: nauc_mrr_at_100_max
            value: -4.2139999999999995
          - type: nauc_mrr_at_100_std
            value: -9.5994
          - type: nauc_mrr_at_100_diff1
            value: 13.2809
          - type: nauc_mrr_at_1000_max
            value: -4.221
          - type: nauc_mrr_at_1000_std
            value: -9.6052
          - type: nauc_mrr_at_1000_diff1
            value: 13.277
          - type: main_score
            value: 56.691
        task:
          type: Retrieval
      - dataset:
          config: default
          name: MTEB ArxivClusteringP2P (default)
          revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
          split: test
          type: mteb/arxiv-clustering-p2p
        metrics:
          - type: v_measure
            value: 47.2496
          - type: v_measure_std
            value: 13.791900000000002
          - type: main_score
            value: 47.2496
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB ArxivClusteringS2S (default)
          revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
          split: test
          type: mteb/arxiv-clustering-s2s
        metrics:
          - type: v_measure
            value: 40.75
          - type: v_measure_std
            value: 14.1433
          - type: main_score
            value: 40.75
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB AskUbuntuDupQuestions (default)
          revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
          split: test
          type: mteb/askubuntudupquestions-reranking
        metrics:
          - type: map
            value: 61.5183
          - type: mrr
            value: 74.5329
          - type: nAUC_map_max
            value: 22.0592
          - type: nAUC_map_std
            value: 18.0597
          - type: nAUC_map_diff1
            value: 1.7156
          - type: nAUC_mrr_max
            value: 34.481899999999996
          - type: nAUC_mrr_std
            value: 18.1487
          - type: nAUC_mrr_diff1
            value: 14.359
          - type: main_score
            value: 61.5183
        task:
          type: Reranking
      - dataset:
          config: default
          name: MTEB BIOSSES (default)
          revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
          split: test
          type: mteb/biosses-sts
        metrics:
          - type: pearson
            value: 86.7876
          - type: spearman
            value: 84.7302
          - type: cosine_pearson
            value: 86.7876
          - type: cosine_spearman
            value: 84.7302
          - type: manhattan_pearson
            value: 84.48649999999999
          - type: manhattan_spearman
            value: 84.0363
          - type: euclidean_pearson
            value: 84.8649
          - type: euclidean_spearman
            value: 84.6266
          - type: main_score
            value: 84.7302
        task:
          type: STS
      - dataset:
          config: default
          name: MTEB Banking77Classification (default)
          revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
          split: test
          type: mteb/banking77
        metrics:
          - type: accuracy
            value: 85.7078
          - type: f1
            value: 85.6668
          - type: f1_weighted
            value: 85.6668
          - type: main_score
            value: 85.7078
        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB BiorxivClusteringP2P (default)
          revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
          split: test
          type: mteb/biorxiv-clustering-p2p
        metrics:
          - type: v_measure
            value: 40.0883
          - type: v_measure_std
            value: 0.9724
          - type: main_score
            value: 40.0883
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB BiorxivClusteringS2S (default)
          revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
          split: test
          type: mteb/biorxiv-clustering-s2s
        metrics:
          - type: v_measure
            value: 36.3365
          - type: v_measure_std
            value: 1.1007
          - type: main_score
            value: 36.3365
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB CQADupstackAndroidRetrieval (default)
          revision: f46a197baaae43b4f621051089b82a364682dfeb
          split: test
          type: mteb/cqadupstack-android
        metrics:
          - type: ndcg_at_1
            value: 37.196
          - type: ndcg_at_3
            value: 42.849
          - type: ndcg_at_5
            value: 45.023
          - type: ndcg_at_10
            value: 48.02
          - type: ndcg_at_20
            value: 50.156
          - type: ndcg_at_100
            value: 53.32900000000001
          - type: ndcg_at_1000
            value: 55.535000000000004
          - type: map_at_1
            value: 30.598
          - type: map_at_3
            value: 38.221
          - type: map_at_5
            value: 40.105000000000004
          - type: map_at_10
            value: 41.715
          - type: map_at_20
            value: 42.539
          - type: map_at_100
            value: 43.207
          - type: map_at_1000
            value: 43.344
          - type: recall_at_1
            value: 30.598
          - type: recall_at_3
            value: 45.164
          - type: recall_at_5
            value: 51.357
          - type: recall_at_10
            value: 60.343
          - type: recall_at_20
            value: 67.93299999999999
          - type: recall_at_100
            value: 82.07
          - type: recall_at_1000
            value: 96.345
          - type: precision_at_1
            value: 37.196
          - type: precision_at_3
            value: 20.601
          - type: precision_at_5
            value: 14.707
          - type: precision_at_10
            value: 9.242
          - type: precision_at_20
            value: 5.522
          - type: precision_at_100
            value: 1.4949999999999999
          - type: precision_at_1000
            value: 0.198
          - type: mrr_at_1
            value: 37.196
          - type: mrr_at_3
            value: 44.516
          - type: mrr_at_5
            value: 45.9895
          - type: mrr_at_10
            value: 47.2167
          - type: mrr_at_20
            value: 47.6917
          - type: mrr_at_100
            value: 47.9724
          - type: mrr_at_1000
            value: 48.0257
          - type: nauc_ndcg_at_1_max
            value: 38.1056
          - type: nauc_ndcg_at_1_std
            value: -1.5731
          - type: nauc_ndcg_at_1_diff1
            value: 52.3965
          - type: nauc_ndcg_at_3_max
            value: 35.7142
          - type: nauc_ndcg_at_3_std
            value: 0.092
          - type: nauc_ndcg_at_3_diff1
            value: 46.1385
          - type: nauc_ndcg_at_5_max
            value: 36.3881
          - type: nauc_ndcg_at_5_std
            value: 1.5633000000000001
          - type: nauc_ndcg_at_5_diff1
            value: 45.2644
          - type: nauc_ndcg_at_10_max
            value: 36.660199999999996
          - type: nauc_ndcg_at_10_std
            value: 2.7068
          - type: nauc_ndcg_at_10_diff1
            value: 45.3748
          - type: nauc_ndcg_at_20_max
            value: 37.242599999999996
          - type: nauc_ndcg_at_20_std
            value: 3.2815999999999996
          - type: nauc_ndcg_at_20_diff1
            value: 45.5251
          - type: nauc_ndcg_at_100_max
            value: 38.1824
          - type: nauc_ndcg_at_100_std
            value: 4.5971
          - type: nauc_ndcg_at_100_diff1
            value: 45.622800000000005
          - type: nauc_ndcg_at_1000_max
            value: 37.9268
          - type: nauc_ndcg_at_1000_std
            value: 4.2024
          - type: nauc_ndcg_at_1000_diff1
            value: 45.9741
          - type: nauc_map_at_1_max
            value: 33.6794
          - type: nauc_map_at_1_std
            value: -0.7946
          - type: nauc_map_at_1_diff1
            value: 55.799699999999994
          - type: nauc_map_at_3_max
            value: 35.113
          - type: nauc_map_at_3_std
            value: -0.4043
          - type: nauc_map_at_3_diff1
            value: 49.4747
          - type: nauc_map_at_5_max
            value: 35.5742
          - type: nauc_map_at_5_std
            value: 0.45570000000000005
          - type: nauc_map_at_5_diff1
            value: 48.5577
          - type: nauc_map_at_10_max
            value: 35.861599999999996
          - type: nauc_map_at_10_std
            value: 1.0931
          - type: nauc_map_at_10_diff1
            value: 48.298
          - type: nauc_map_at_20_max
            value: 36.181999999999995
          - type: nauc_map_at_20_std
            value: 1.4944000000000002
          - type: nauc_map_at_20_diff1
            value: 48.149300000000004
          - type: nauc_map_at_100_max
            value: 36.4468
          - type: nauc_map_at_100_std
            value: 1.9296
          - type: nauc_map_at_100_diff1
            value: 48.1169
          - type: nauc_map_at_1000_max
            value: 36.4375
          - type: nauc_map_at_1000_std
            value: 1.9300000000000002
          - type: nauc_map_at_1000_diff1
            value: 48.1069
          - type: nauc_recall_at_1_max
            value: 33.6794
          - type: nauc_recall_at_1_std
            value: -0.7946
          - type: nauc_recall_at_1_diff1
            value: 55.799699999999994
          - type: nauc_recall_at_3_max
            value: 33.2805
          - type: nauc_recall_at_3_std
            value: 0.5577000000000001
          - type: nauc_recall_at_3_diff1
            value: 42.3984
          - type: nauc_recall_at_5_max
            value: 34.216
          - type: nauc_recall_at_5_std
            value: 3.8645
          - type: nauc_recall_at_5_diff1
            value: 39.2173
          - type: nauc_recall_at_10_max
            value: 34.4227
          - type: nauc_recall_at_10_std
            value: 7.2011
          - type: nauc_recall_at_10_diff1
            value: 37.8205
          - type: nauc_recall_at_20_max
            value: 36.0236
          - type: nauc_recall_at_20_std
            value: 9.4403
          - type: nauc_recall_at_20_diff1
            value: 36.4943
          - type: nauc_recall_at_100_max
            value: 43.2157
          - type: nauc_recall_at_100_std
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          name: MTEB MTOPDomainClassification (en)
          revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
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          type: mteb/mtop_domain
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          name: MTEB MassiveIntentClassification (en)
          revision: 4672e20407010da34463acc759c162ca9734bca6
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          type: mteb/amazon_massive_intent
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          revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
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          type: mteb/amazon_massive_scenario
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          revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
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        task:
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          revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
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          revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
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          type: mteb/nfcorpus
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        task:
          type: Retrieval
      - dataset:
          config: default
          name: MTEB RedditClustering (default)
          revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
          split: test
          type: mteb/reddit-clustering
        metrics:
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          - type: v_measure_std
            value: 4.1444
          - type: main_score
            value: 56.0955
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB RedditClusteringP2P (default)
          revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
          split: test
          type: mteb/reddit-clustering-p2p
        metrics:
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          - type: v_measure_std
            value: 13.046199999999999
          - type: main_score
            value: 65.384
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB SCIDOCS (default)
          revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
          split: test
          type: mteb/scidocs
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            value: 17.71
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            value: 18.541
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            value: 28.813
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            value: 37.533
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            value: 25.0545
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            value: 37.317
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          - type: nauc_mrr_at_3_max
            value: 26.037
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            value: 13.3509
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            value: 16.5581
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            value: 26.512200000000004
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            value: 14.1935
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            value: 16.9622
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            value: 26.793699999999998
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            value: 14.475299999999999
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          - type: nauc_mrr_at_20_max
            value: 26.6322
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            value: 14.619299999999999
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            value: 16.2574
          - type: nauc_mrr_at_100_max
            value: 26.662999999999997
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            value: 14.5811
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          - type: nauc_mrr_at_1000_max
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          - type: main_score
            value: 21.315
        task:
          type: Retrieval
      - dataset:
          config: default
          name: MTEB SICK-R (default)
          revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
          split: test
          type: mteb/sickr-sts
        metrics:
          - type: pearson
            value: 85.2236
          - type: spearman
            value: 79.552
          - type: cosine_pearson
            value: 85.2236
          - type: cosine_spearman
            value: 79.552
          - type: manhattan_pearson
            value: 82.441
          - type: manhattan_spearman
            value: 79.6522
          - type: euclidean_pearson
            value: 82.461
          - type: euclidean_spearman
            value: 79.586
          - type: main_score
            value: 79.552
        task:
          type: STS
      - dataset:
          config: default
          name: MTEB STS12 (default)
          revision: a0d554a64d88156834ff5ae9920b964011b16384
          split: test
          type: mteb/sts12-sts
        metrics:
          - type: pearson
            value: 82.6717
          - type: spearman
            value: 74.32900000000001
          - type: cosine_pearson
            value: 82.6717
          - type: cosine_spearman
            value: 74.32900000000001
          - type: manhattan_pearson
            value: 78.64139999999999
          - type: manhattan_spearman
            value: 74.2317
          - type: euclidean_pearson
            value: 78.5872
          - type: euclidean_spearman
            value: 74.11330000000001
          - type: main_score
            value: 74.32900000000001
        task:
          type: STS
      - dataset:
          config: default
          name: MTEB STS13 (default)
          revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
          split: test
          type: mteb/sts13-sts
        metrics:
          - type: pearson
            value: 82.4411
          - type: spearman
            value: 83.5206
          - type: cosine_pearson
            value: 82.4411
          - type: cosine_spearman
            value: 83.5206
          - type: manhattan_pearson
            value: 83.1748
          - type: manhattan_spearman
            value: 83.2847
          - type: euclidean_pearson
            value: 83.0033
          - type: euclidean_spearman
            value: 83.1029
          - type: main_score
            value: 83.5206
        task:
          type: STS
      - dataset:
          config: default
          name: MTEB STS14 (default)
          revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
          split: test
          type: mteb/sts14-sts
        metrics:
          - type: pearson
            value: 82.8828
          - type: spearman
            value: 80.6168
          - type: cosine_pearson
            value: 82.8828
          - type: cosine_spearman
            value: 80.6168
          - type: manhattan_pearson
            value: 82.4454
          - type: manhattan_spearman
            value: 80.5921
          - type: euclidean_pearson
            value: 82.3376
          - type: euclidean_spearman
            value: 80.4612
          - type: main_score
            value: 80.6168
        task:
          type: STS
      - dataset:
          config: default
          name: MTEB STS15 (default)
          revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
          split: test
          type: mteb/sts15-sts
        metrics:
          - type: pearson
            value: 85.74690000000001
          - type: spearman
            value: 86.8576
          - type: cosine_pearson
            value: 85.74690000000001
          - type: cosine_spearman
            value: 86.8576
          - type: manhattan_pearson
            value: 86.4696
          - type: manhattan_spearman
            value: 86.7518
          - type: euclidean_pearson
            value: 86.4535
          - type: euclidean_spearman
            value: 86.7047
          - type: main_score
            value: 86.8576
        task:
          type: STS
      - dataset:
          config: default
          name: MTEB STS16 (default)
          revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
          split: test
          type: mteb/sts16-sts
        metrics:
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            value: 84.143
          - type: spearman
            value: 85.4357
          - type: cosine_pearson
            value: 84.143
          - type: cosine_spearman
            value: 85.4357
          - type: manhattan_pearson
            value: 84.6764
          - type: manhattan_spearman
            value: 85.1899
          - type: euclidean_pearson
            value: 84.6236
          - type: euclidean_spearman
            value: 85.1268
          - type: main_score
            value: 85.4357
        task:
          type: STS
      - dataset:
          config: en-ar
          name: MTEB STS17 (en-ar)
          revision: faeb762787bd10488a50c8b5be4a3b82e411949c
          split: test
          type: mteb/sts17-crosslingual-sts
        metrics:
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            value: 20.9391
          - type: spearman
            value: 19.8291
          - type: cosine_pearson
            value: 20.9391
          - type: cosine_spearman
            value: 19.8291
          - type: manhattan_pearson
            value: 20.0337
          - type: manhattan_spearman
            value: 18.712
          - type: euclidean_pearson
            value: 18.543000000000003
          - type: euclidean_spearman
            value: 17.0394
          - type: main_score
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        task:
          type: STS
      - dataset:
          config: es-en
          name: MTEB STS17 (es-en)
          revision: faeb762787bd10488a50c8b5be4a3b82e411949c
          split: test
          type: mteb/sts17-crosslingual-sts
        metrics:
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            value: 36.1076
          - type: spearman
            value: 37.7431
          - type: cosine_pearson
            value: 36.1076
          - type: cosine_spearman
            value: 37.7431
          - type: manhattan_pearson
            value: 36.2087
          - type: manhattan_spearman
            value: 38.199
          - type: euclidean_pearson
            value: 36.003299999999996
          - type: euclidean_spearman
            value: 38.2931
          - type: main_score
            value: 37.7431
        task:
          type: STS
      - dataset:
          config: en-tr
          name: MTEB STS17 (en-tr)
          revision: faeb762787bd10488a50c8b5be4a3b82e411949c
          split: test
          type: mteb/sts17-crosslingual-sts
        metrics:
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          - type: spearman
            value: 14.9257
          - type: cosine_pearson
            value: 15.581900000000001
          - type: cosine_spearman
            value: 14.9257
          - type: manhattan_pearson
            value: 13.941
          - type: manhattan_spearman
            value: 12.1139
          - type: euclidean_pearson
            value: 13.839799999999999
          - type: euclidean_spearman
            value: 12.092600000000001
          - type: main_score
            value: 14.9257
        task:
          type: STS
      - dataset:
          config: en-en
          name: MTEB STS17 (en-en)
          revision: faeb762787bd10488a50c8b5be4a3b82e411949c
          split: test
          type: mteb/sts17-crosslingual-sts
        metrics:
          - type: pearson
            value: 89.1055
          - type: spearman
            value: 89.74849999999999
          - type: cosine_pearson
            value: 89.1055
          - type: cosine_spearman
            value: 89.74849999999999
          - type: manhattan_pearson
            value: 89.35889999999999
          - type: manhattan_spearman
            value: 89.6548
          - type: euclidean_pearson
            value: 89.3692
          - type: euclidean_spearman
            value: 89.6819
          - type: main_score
            value: 89.74849999999999
        task:
          type: STS
      - dataset:
          config: it-en
          name: MTEB STS17 (it-en)
          revision: faeb762787bd10488a50c8b5be4a3b82e411949c
          split: test
          type: mteb/sts17-crosslingual-sts
        metrics:
          - type: pearson
            value: 34.056
          - type: spearman
            value: 32.156
          - type: cosine_pearson
            value: 34.056
          - type: cosine_spearman
            value: 32.156
          - type: manhattan_pearson
            value: 31.143900000000002
          - type: manhattan_spearman
            value: 28.969099999999997
          - type: euclidean_pearson
            value: 33.1061
          - type: euclidean_spearman
            value: 31.0466
          - type: main_score
            value: 32.156
        task:
          type: STS
      - dataset:
          config: en-de
          name: MTEB STS17 (en-de)
          revision: faeb762787bd10488a50c8b5be4a3b82e411949c
          split: test
          type: mteb/sts17-crosslingual-sts
        metrics:
          - type: pearson
            value: 42.3601
          - type: spearman
            value: 41.4203
          - type: cosine_pearson
            value: 42.3601
          - type: cosine_spearman
            value: 41.4203
          - type: manhattan_pearson
            value: 39.981899999999996
          - type: manhattan_spearman
            value: 38.0952
          - type: euclidean_pearson
            value: 41.335499999999996
          - type: euclidean_spearman
            value: 39.7943
          - type: main_score
            value: 41.4203
        task:
          type: STS
      - dataset:
          config: fr-en
          name: MTEB STS17 (fr-en)
          revision: faeb762787bd10488a50c8b5be4a3b82e411949c
          split: test
          type: mteb/sts17-crosslingual-sts
        metrics:
          - type: pearson
            value: 45.8696
          - type: spearman
            value: 46.0298
          - type: cosine_pearson
            value: 45.8696
          - type: cosine_spearman
            value: 46.0298
          - type: manhattan_pearson
            value: 45.3312
          - type: manhattan_spearman
            value: 45.7096
          - type: euclidean_pearson
            value: 44.8469
          - type: euclidean_spearman
            value: 44.8071
          - type: main_score
            value: 46.0298
        task:
          type: STS
      - dataset:
          config: nl-en
          name: MTEB STS17 (nl-en)
          revision: faeb762787bd10488a50c8b5be4a3b82e411949c
          split: test
          type: mteb/sts17-crosslingual-sts
        metrics:
          - type: pearson
            value: 37.3649
          - type: spearman
            value: 33.530300000000004
          - type: cosine_pearson
            value: 37.3649
          - type: cosine_spearman
            value: 33.530300000000004
          - type: manhattan_pearson
            value: 37.3041
          - type: manhattan_spearman
            value: 33.8571
          - type: euclidean_pearson
            value: 37.292199999999994
          - type: euclidean_spearman
            value: 32.3678
          - type: main_score
            value: 33.530300000000004
        task:
          type: STS
      - dataset:
          config: es-en
          name: MTEB STS22 (es-en)
          revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
          split: test
          type: mteb/sts22-crosslingual-sts
        metrics:
          - type: pearson
            value: 62.2414
          - type: spearman
            value: 66.6849
          - type: cosine_pearson
            value: 62.2414
          - type: cosine_spearman
            value: 66.6849
          - type: manhattan_pearson
            value: 63.226499999999994
          - type: manhattan_spearman
            value: 66.6979
          - type: euclidean_pearson
            value: 60.76390000000001
          - type: euclidean_spearman
            value: 66.3358
          - type: main_score
            value: 66.6849
        task:
          type: STS
      - dataset:
          config: de-en
          name: MTEB STS22 (de-en)
          revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
          split: test
          type: mteb/sts22-crosslingual-sts
        metrics:
          - type: pearson
            value: 51.0323
          - type: spearman
            value: 50.0918
          - type: cosine_pearson
            value: 51.0323
          - type: cosine_spearman
            value: 50.0918
          - type: manhattan_pearson
            value: 54.5439
          - type: manhattan_spearman
            value: 50.950399999999995
          - type: euclidean_pearson
            value: 52.267799999999994
          - type: euclidean_spearman
            value: 49.892399999999995
          - type: main_score
            value: 50.0918
        task:
          type: STS
      - dataset:
          config: zh-en
          name: MTEB STS22 (zh-en)
          revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
          split: test
          type: mteb/sts22-crosslingual-sts
        metrics:
          - type: pearson
            value: 43.2851
          - type: spearman
            value: 45.153999999999996
          - type: cosine_pearson
            value: 43.2851
          - type: cosine_spearman
            value: 45.153999999999996
          - type: manhattan_pearson
            value: 45.0203
          - type: manhattan_spearman
            value: 47.6171
          - type: euclidean_pearson
            value: 43.485
          - type: euclidean_spearman
            value: 47.7715
          - type: main_score
            value: 45.153999999999996
        task:
          type: STS
      - dataset:
          config: pl-en
          name: MTEB STS22 (pl-en)
          revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
          split: test
          type: mteb/sts22-crosslingual-sts
        metrics:
          - type: pearson
            value: 56.3712
          - type: spearman
            value: 55.114700000000006
          - type: cosine_pearson
            value: 56.3712
          - type: cosine_spearman
            value: 55.114700000000006
          - type: manhattan_pearson
            value: 53.59159999999999
          - type: manhattan_spearman
            value: 52.546499999999995
          - type: euclidean_pearson
            value: 54.9622
          - type: euclidean_spearman
            value: 53.2341
          - type: main_score
            value: 55.114700000000006
        task:
          type: STS
      - dataset:
          config: en
          name: MTEB STS22 (en)
          revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
          split: test
          type: mteb/sts22-crosslingual-sts
        metrics:
          - type: pearson
            value: 68.4414
          - type: spearman
            value: 68.3308
          - type: cosine_pearson
            value: 68.4414
          - type: cosine_spearman
            value: 68.3308
          - type: manhattan_pearson
            value: 69.8215
          - type: manhattan_spearman
            value: 68.7828
          - type: euclidean_pearson
            value: 69.5641
          - type: euclidean_spearman
            value: 68.56269999999999
          - type: main_score
            value: 68.3308
        task:
          type: STS
      - dataset:
          config: default
          name: MTEB STSBenchmark (default)
          revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
          split: test
          type: mteb/stsbenchmark-sts
        metrics:
          - type: pearson
            value: 86.0724
          - type: spearman
            value: 86.2449
          - type: cosine_pearson
            value: 86.0724
          - type: cosine_spearman
            value: 86.2449
          - type: manhattan_pearson
            value: 86.2033
          - type: manhattan_spearman
            value: 86.0523
          - type: euclidean_pearson
            value: 86.1487
          - type: euclidean_spearman
            value: 85.9842
          - type: main_score
            value: 86.2449
        task:
          type: STS
      - dataset:
          config: default
          name: MTEB SciDocsRR (default)
          revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
          split: test
          type: mteb/scidocs-reranking
        metrics:
          - type: map
            value: 84.4126
          - type: mrr
            value: 95.4755
          - type: nAUC_map_max
            value: 55.527300000000004
          - type: nAUC_map_std
            value: 71.4269
          - type: nAUC_map_diff1
            value: 1.0592000000000001
          - type: nAUC_mrr_max
            value: 87.11959999999999
          - type: nAUC_mrr_std
            value: 82.7146
          - type: nAUC_mrr_diff1
            value: 44.2384
          - type: main_score
            value: 84.4126
        task:
          type: Reranking
      - dataset:
          config: default
          name: MTEB SciFact (default)
          revision: 0228b52cf27578f30900b9e5271d331663a030d7
          split: test
          type: mteb/scifact
        metrics:
          - type: ndcg_at_1
            value: 62.333000000000006
          - type: ndcg_at_3
            value: 67.297
          - type: ndcg_at_5
            value: 69.24900000000001
          - type: ndcg_at_10
            value: 72.63199999999999
          - type: ndcg_at_20
            value: 73.6
          - type: ndcg_at_100
            value: 74.889
          - type: ndcg_at_1000
            value: 75.453
          - type: map_at_1
            value: 59.733000000000004
          - type: map_at_3
            value: 65.194
          - type: map_at_5
            value: 66.616
          - type: map_at_10
            value: 68.158
          - type: map_at_20
            value: 68.464
          - type: map_at_100
            value: 68.686
          - type: map_at_1000
            value: 68.705
          - type: recall_at_1
            value: 59.733000000000004
          - type: recall_at_3
            value: 70.61699999999999
          - type: recall_at_5
            value: 75.5
          - type: recall_at_10
            value: 85.51100000000001
          - type: recall_at_20
            value: 89.133
          - type: recall_at_100
            value: 95.5
          - type: recall_at_1000
            value: 100
          - type: precision_at_1
            value: 62.333000000000006
          - type: precision_at_3
            value: 25.667
          - type: precision_at_5
            value: 16.8
          - type: precision_at_10
            value: 9.633
          - type: precision_at_20
            value: 5.050000000000001
          - type: precision_at_100
            value: 1.083
          - type: precision_at_1000
            value: 0.11299999999999999
          - type: mrr_at_1
            value: 62.3333
          - type: mrr_at_3
            value: 67.11110000000001
          - type: mrr_at_5
            value: 68.0111
          - type: mrr_at_10
            value: 69.243
          - type: mrr_at_20
            value: 69.4702
          - type: mrr_at_100
            value: 69.6616
          - type: mrr_at_1000
            value: 69.68039999999999
          - type: nauc_ndcg_at_1_max
            value: 54.49850000000001
          - type: nauc_ndcg_at_1_std
            value: 7.1119
          - type: nauc_ndcg_at_1_diff1
            value: 66.1422
          - type: nauc_ndcg_at_3_max
            value: 56.4064
          - type: nauc_ndcg_at_3_std
            value: 5.8438
          - type: nauc_ndcg_at_3_diff1
            value: 63.8497
          - type: nauc_ndcg_at_5_max
            value: 57.1304
          - type: nauc_ndcg_at_5_std
            value: 7.220600000000001
          - type: nauc_ndcg_at_5_diff1
            value: 63.31250000000001
          - type: nauc_ndcg_at_10_max
            value: 55.722300000000004
          - type: nauc_ndcg_at_10_std
            value: 9.1649
          - type: nauc_ndcg_at_10_diff1
            value: 60.6626
          - type: nauc_ndcg_at_20_max
            value: 55.945299999999996
          - type: nauc_ndcg_at_20_std
            value: 9.843200000000001
          - type: nauc_ndcg_at_20_diff1
            value: 60.113099999999996
          - type: nauc_ndcg_at_100_max
            value: 56.1434
          - type: nauc_ndcg_at_100_std
            value: 10.8029
          - type: nauc_ndcg_at_100_diff1
            value: 60.854200000000006
          - type: nauc_ndcg_at_1000_max
            value: 56.2423
          - type: nauc_ndcg_at_1000_std
            value: 9.703000000000001
          - type: nauc_ndcg_at_1000_diff1
            value: 61.718799999999995
          - type: nauc_map_at_1_max
            value: 50.9749
          - type: nauc_map_at_1_std
            value: 3.6609999999999996
          - type: nauc_map_at_1_diff1
            value: 67.3719
          - type: nauc_map_at_3_max
            value: 54.31009999999999
          - type: nauc_map_at_3_std
            value: 4.3235
          - type: nauc_map_at_3_diff1
            value: 64.8984
          - type: nauc_map_at_5_max
            value: 55.328599999999994
          - type: nauc_map_at_5_std
            value: 5.959099999999999
          - type: nauc_map_at_5_diff1
            value: 64.0263
          - type: nauc_map_at_10_max
            value: 55.1577
          - type: nauc_map_at_10_std
            value: 7.147399999999999
          - type: nauc_map_at_10_diff1
            value: 62.943000000000005
          - type: nauc_map_at_20_max
            value: 55.367900000000006
          - type: nauc_map_at_20_std
            value: 7.5756000000000006
          - type: nauc_map_at_20_diff1
            value: 62.7916
          - type: nauc_map_at_100_max
            value: 55.342499999999994
          - type: nauc_map_at_100_std
            value: 7.648000000000001
          - type: nauc_map_at_100_diff1
            value: 62.899499999999996
          - type: nauc_map_at_1000_max
            value: 55.3499
          - type: nauc_map_at_1000_std
            value: 7.624499999999999
          - type: nauc_map_at_1000_diff1
            value: 62.930299999999995
          - type: nauc_recall_at_1_max
            value: 50.9749
          - type: nauc_recall_at_1_std
            value: 3.6609999999999996
          - type: nauc_recall_at_1_diff1
            value: 67.3719
          - type: nauc_recall_at_3_max
            value: 56.184
          - type: nauc_recall_at_3_std
            value: 1.8581
          - type: nauc_recall_at_3_diff1
            value: 63.3395
          - type: nauc_recall_at_5_max
            value: 59.3021
          - type: nauc_recall_at_5_std
            value: 6.4342
          - type: nauc_recall_at_5_diff1
            value: 61.8267
          - type: nauc_recall_at_10_max
            value: 51.8488
          - type: nauc_recall_at_10_std
            value: 13.397
          - type: nauc_recall_at_10_diff1
            value: 47.7098
          - type: nauc_recall_at_20_max
            value: 51.607499999999995
          - type: nauc_recall_at_20_std
            value: 17.8583
          - type: nauc_recall_at_20_diff1
            value: 40.2701
          - type: nauc_recall_at_100_max
            value: 54.1844
          - type: nauc_recall_at_100_std
            value: 53.411500000000004
          - type: nauc_recall_at_100_diff1
            value: 31.0043
          - type: nauc_recall_at_1000_max
            value: .nan
          - type: nauc_recall_at_1000_std
            value: .nan
          - type: nauc_recall_at_1000_diff1
            value: .nan
          - type: nauc_precision_at_1_max
            value: 54.49850000000001
          - type: nauc_precision_at_1_std
            value: 7.1119
          - type: nauc_precision_at_1_diff1
            value: 66.1422
          - type: nauc_precision_at_3_max
            value: 52.115
          - type: nauc_precision_at_3_std
            value: 16.1809
          - type: nauc_precision_at_3_diff1
            value: 41.6736
          - type: nauc_precision_at_5_max
            value: 46.3365
          - type: nauc_precision_at_5_std
            value: 22.7022
          - type: nauc_precision_at_5_diff1
            value: 25.564500000000002
          - type: nauc_precision_at_10_max
            value: 31.7504
          - type: nauc_precision_at_10_std
            value: 31.063499999999998
          - type: nauc_precision_at_10_diff1
            value: 0.61
          - type: nauc_precision_at_20_max
            value: 27.0162
          - type: nauc_precision_at_20_std
            value: 35.5844
          - type: nauc_precision_at_20_diff1
            value: -8.559899999999999
          - type: nauc_precision_at_100_max
            value: 17.9369
          - type: nauc_precision_at_100_std
            value: 45.360299999999995
          - type: nauc_precision_at_100_diff1
            value: -21.3734
          - type: nauc_precision_at_1000_max
            value: 9.6015
          - type: nauc_precision_at_1000_std
            value: 41.6207
          - type: nauc_precision_at_1000_diff1
            value: -31.4964
          - type: nauc_mrr_at_1_max
            value: 54.49850000000001
          - type: nauc_mrr_at_1_std
            value: 7.1119
          - type: nauc_mrr_at_1_diff1
            value: 66.1422
          - type: nauc_mrr_at_3_max
            value: 57.52589999999999
          - type: nauc_mrr_at_3_std
            value: 8.605400000000001
          - type: nauc_mrr_at_3_diff1
            value: 63.4207
          - type: nauc_mrr_at_5_max
            value: 57.809900000000006
          - type: nauc_mrr_at_5_std
            value: 9.2631
          - type: nauc_mrr_at_5_diff1
            value: 63.4016
          - type: nauc_mrr_at_10_max
            value: 57.02199999999999
          - type: nauc_mrr_at_10_std
            value: 9.542100000000001
          - type: nauc_mrr_at_10_diff1
            value: 62.527
          - type: nauc_mrr_at_20_max
            value: 56.942800000000005
          - type: nauc_mrr_at_20_std
            value: 9.3838
          - type: nauc_mrr_at_20_diff1
            value: 62.3991
          - type: nauc_mrr_at_100_max
            value: 56.9337
          - type: nauc_mrr_at_100_std
            value: 9.437800000000001
          - type: nauc_mrr_at_100_diff1
            value: 62.5024
          - type: nauc_mrr_at_1000_max
            value: 56.942899999999995
          - type: nauc_mrr_at_1000_std
            value: 9.4167
          - type: nauc_mrr_at_1000_diff1
            value: 62.5336
          - type: main_score
            value: 72.63199999999999
        task:
          type: Retrieval
      - dataset:
          config: default
          name: MTEB SprintDuplicateQuestions (default)
          revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
          split: test
          type: mteb/sprintduplicatequestions-pairclassification
        metrics:
          - type: similarity_accuracy
            value: 99.8
          - type: similarity_accuracy_threshold
            value: 79.6178
          - type: similarity_f1
            value: 89.6091
          - type: similarity_f1_threshold
            value: 79.3926
          - type: similarity_precision
            value: 92.26689999999999
          - type: similarity_recall
            value: 87.1
          - type: similarity_ap
            value: 95.45169999999999
          - type: cosine_accuracy
            value: 99.8
          - type: cosine_accuracy_threshold
            value: 79.6178
          - type: cosine_f1
            value: 89.6091
          - type: cosine_f1_threshold
            value: 79.3926
          - type: cosine_precision
            value: 92.26689999999999
          - type: cosine_recall
            value: 87.1
          - type: cosine_ap
            value: 95.45169999999999
          - type: manhattan_accuracy
            value: 99.797
          - type: manhattan_accuracy_threshold
            value: 23339.9902
          - type: manhattan_f1
            value: 89.45490000000001
          - type: manhattan_f1_threshold
            value: 23640.0604
          - type: manhattan_precision
            value: 91.1734
          - type: manhattan_recall
            value: 87.8
          - type: manhattan_ap
            value: 95.4832
          - type: euclidean_accuracy
            value: 99.79599999999999
          - type: euclidean_accuracy_threshold
            value: 1058.7936
          - type: euclidean_f1
            value: 89.35300000000001
          - type: euclidean_f1_threshold
            value: 1085.26
          - type: euclidean_precision
            value: 91.0696
          - type: euclidean_recall
            value: 87.7
          - type: euclidean_ap
            value: 95.4192
          - type: dot_accuracy
            value: 99.79599999999999
          - type: dot_accuracy_threshold
            value: 22447.8943
          - type: dot_f1
            value: 89.6311
          - type: dot_f1_threshold
            value: 21928.1982
          - type: dot_precision
            value: 89.3638
          - type: dot_recall
            value: 89.9
          - type: dot_ap
            value: 95.26599999999999
          - type: max_accuracy
            value: 99.8
          - type: max_f1
            value: 89.6311
          - type: max_precision
            value: 92.26689999999999
          - type: max_recall
            value: 89.9
          - type: max_ap
            value: 95.4832
          - type: main_score
            value: 95.4832
        task:
          type: PairClassification
      - dataset:
          config: default
          name: MTEB StackExchangeClustering (default)
          revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
          split: test
          type: mteb/stackexchange-clustering
        metrics:
          - type: v_measure
            value: 66.8292
          - type: v_measure_std
            value: 5.3023
          - type: main_score
            value: 66.8292
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB StackExchangeClusteringP2P (default)
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      - dataset:
          config: default
          name: MTEB TweetSentimentExtractionClassification (default)
          revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
          split: test
          type: mteb/tweet_sentiment_extraction
        metrics:
          - type: accuracy
            value: 61.3865
          - type: f1
            value: 61.805299999999995
          - type: f1_weighted
            value: 60.8858
          - type: main_score
            value: 61.3865
        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB TwentyNewsgroupsClustering (default)
          revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
          split: test
          type: mteb/twentynewsgroups-clustering
        metrics:
          - type: v_measure
            value: 49.1222
          - type: v_measure_std
            value: 1.01
          - type: main_score
            value: 49.1222
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB TwitterSemEval2015 (default)
          revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
          split: test
          type: mteb/twittersemeval2015-pairclassification
        metrics:
          - type: similarity_accuracy
            value: 85.96289999999999
          - type: similarity_accuracy_threshold
            value: 81.7526
          - type: similarity_f1
            value: 67.0984
          - type: similarity_f1_threshold
            value: 78.1167
          - type: similarity_precision
            value: 64.6756
          - type: similarity_recall
            value: 69.7098
          - type: similarity_ap
            value: 73.40769999999999
          - type: cosine_accuracy
            value: 85.96289999999999
          - type: cosine_accuracy_threshold
            value: 81.7526
          - type: cosine_f1
            value: 67.0984
          - type: cosine_f1_threshold
            value: 78.1167
          - type: cosine_precision
            value: 64.6756
          - type: cosine_recall
            value: 69.7098
          - type: cosine_ap
            value: 73.40769999999999
          - type: manhattan_accuracy
            value: 85.8735
          - type: manhattan_accuracy_threshold
            value: 22624.693300000003
          - type: manhattan_f1
            value: 67.13
          - type: manhattan_f1_threshold
            value: 24148.2193
          - type: manhattan_precision
            value: 65.52759999999999
          - type: manhattan_recall
            value: 68.8127
          - type: manhattan_ap
            value: 73.4081
          - type: euclidean_accuracy
            value: 85.9391
          - type: euclidean_accuracy_threshold
            value: 1019.5558
          - type: euclidean_f1
            value: 67.0856
          - type: euclidean_f1_threshold
            value: 1125.2108
          - type: euclidean_precision
            value: 64.0509
          - type: euclidean_recall
            value: 70.4222
          - type: euclidean_ap
            value: 73.38289999999999
          - type: dot_accuracy
            value: 85.3013
          - type: dot_accuracy_threshold
            value: 23728.8651
          - type: dot_f1
            value: 65.8888
          - type: dot_f1_threshold
            value: 22264.9994
          - type: dot_precision
            value: 62.2128
          - type: dot_recall
            value: 70.0264
          - type: dot_ap
            value: 71.5369
          - type: max_accuracy
            value: 85.96289999999999
          - type: max_f1
            value: 67.13
          - type: max_precision
            value: 65.52759999999999
          - type: max_recall
            value: 70.4222
          - type: max_ap
            value: 73.4081
          - type: main_score
            value: 73.4081
        task:
          type: PairClassification
      - dataset:
          config: default
          name: MTEB TwitterURLCorpus (default)
          revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
          split: test
          type: mteb/twitterurlcorpus-pairclassification
        metrics:
          - type: similarity_accuracy
            value: 88.81710000000001
          - type: similarity_accuracy_threshold
            value: 75.9413
          - type: similarity_f1
            value: 77.74560000000001
          - type: similarity_f1_threshold
            value: 72.7591
          - type: similarity_precision
            value: 74.17660000000001
          - type: similarity_recall
            value: 81.6754
          - type: similarity_ap
            value: 85.43230000000001
          - type: cosine_accuracy
            value: 88.81710000000001
          - type: cosine_accuracy_threshold
            value: 75.9413
          - type: cosine_f1
            value: 77.74560000000001
          - type: cosine_f1_threshold
            value: 72.7591
          - type: cosine_precision
            value: 74.17660000000001
          - type: cosine_recall
            value: 81.6754
          - type: cosine_ap
            value: 85.43230000000001
          - type: manhattan_accuracy
            value: 88.7802
          - type: manhattan_accuracy_threshold
            value: 25609.9884
          - type: manhattan_f1
            value: 77.5999
          - type: manhattan_f1_threshold
            value: 26501.702899999997
          - type: manhattan_precision
            value: 76.145
          - type: manhattan_recall
            value: 79.1115
          - type: manhattan_ap
            value: 85.34779999999999
          - type: euclidean_accuracy
            value: 88.76859999999999
          - type: euclidean_accuracy_threshold
            value: 1181.6877
          - type: euclidean_f1
            value: 77.6417
          - type: euclidean_f1_threshold
            value: 1224.3926999999999
          - type: euclidean_precision
            value: 75.6
          - type: euclidean_recall
            value: 79.7967
          - type: euclidean_ap
            value: 85.3782
          - type: dot_accuracy
            value: 88.5726
          - type: dot_accuracy_threshold
            value: 21390.567
          - type: dot_f1
            value: 77.4881
          - type: dot_f1_threshold
            value: 20787.2925
          - type: dot_precision
            value: 75.0505
          - type: dot_recall
            value: 80.0893
          - type: dot_ap
            value: 84.8854
          - type: max_accuracy
            value: 88.81710000000001
          - type: max_f1
            value: 77.74560000000001
          - type: max_precision
            value: 76.145
          - type: max_recall
            value: 81.6754
          - type: max_ap
            value: 85.43230000000001
          - type: main_score
            value: 85.43230000000001
        task:
          type: PairClassification
tags:
  - mteb