mteb model-index region:us
---
tags:
- mteb
model-index:
- name: xlm3b5_step3len260_b128g8_lr1e-5
  results:
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en)
      type: mteb/amazon_counterfactual
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 66.94029850746269
    - type: ap
      value: 28.832990644897478
    - type: f1
      value: 60.32686940828024
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonPolarityClassification
      type: mteb/amazon_polarity
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 94.697425
    - type: ap
      value: 92.35377895045687
    - type: f1
      value: 94.6945423828739
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (en)
      type: mteb/amazon_reviews_multi
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 51.586
    - type: f1
      value: 49.90891720350314
  - task:
      type: Retrieval
    dataset:
      name: MTEB ArguAna
      type: arguana
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 17.781
    - type: map_at_10
      value: 30.854
    - type: map_at_100
      value: 32.344
    - type: map_at_1000
      value: 32.364
    - type: map_at_3
      value: 25.711000000000002
    - type: map_at_5
      value: 28.254
    - type: mrr_at_1
      value: 18.563
    - type: mrr_at_10
      value: 31.137999999999998
    - type: mrr_at_100
      value: 32.621
    - type: mrr_at_1000
      value: 32.641
    - type: mrr_at_3
      value: 25.984
    - type: mrr_at_5
      value: 28.53
    - type: ndcg_at_1
      value: 17.781
    - type: ndcg_at_10
      value: 39.206
    - type: ndcg_at_100
      value: 45.751
    - type: ndcg_at_1000
      value: 46.225
    - type: ndcg_at_3
      value: 28.313
    - type: ndcg_at_5
      value: 32.919
    - type: precision_at_1
      value: 17.781
    - type: precision_at_10
      value: 6.65
    - type: precision_at_100
      value: 0.9560000000000001
    - type: precision_at_1000
      value: 0.099
    - type: precision_at_3
      value: 11.949
    - type: precision_at_5
      value: 9.417
    - type: recall_at_1
      value: 17.781
    - type: recall_at_10
      value: 66.501
    - type: recall_at_100
      value: 95.59
    - type: recall_at_1000
      value: 99.21799999999999
    - type: recall_at_3
      value: 35.846000000000004
    - type: recall_at_5
      value: 47.083999999999996
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringP2P
      type: mteb/arxiv-clustering-p2p
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
    - type: v_measure
      value: 44.44154312957711
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringS2S
      type: mteb/arxiv-clustering-s2s
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
    - type: v_measure
      value: 34.189712542346385
  - task:
      type: Reranking
    dataset:
      name: MTEB AskUbuntuDupQuestions
      type: mteb/askubuntudupquestions-reranking
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
    - type: map
      value: 62.72571219134687
    - type: mrr
      value: 76.3612979817966
  - task:
      type: STS
    dataset:
      name: MTEB BIOSSES
      type: mteb/biosses-sts
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cos_sim_pearson
      value: 83.62762841254953
    - type: cos_sim_spearman
      value: 80.72111639383013
    - type: euclidean_pearson
      value: 82.63506732956259
    - type: euclidean_spearman
      value: 81.177753304636
    - type: manhattan_pearson
      value: 82.5891836637346
    - type: manhattan_spearman
      value: 81.06811225217339
  - task:
      type: Classification
    dataset:
      name: MTEB Banking77Classification
      type: mteb/banking77
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
    - type: accuracy
      value: 80.34090909090908
    - type: f1
      value: 79.4054298683183
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringP2P
      type: mteb/biorxiv-clustering-p2p
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
    metrics:
    - type: v_measure
      value: 37.82441952130262
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringS2S
      type: mteb/biorxiv-clustering-s2s
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
    metrics:
    - type: v_measure
      value: 32.132057843418416
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackAndroidRetrieval
      type: BeIR/cqadupstack
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 34.23
    - type: map_at_10
      value: 46.763
    - type: map_at_100
      value: 48.454
    - type: map_at_1000
      value: 48.58
    - type: map_at_3
      value: 43.167
    - type: map_at_5
      value: 45.214
    - type: mrr_at_1
      value: 42.775
    - type: mrr_at_10
      value: 53.190000000000005
    - type: mrr_at_100
      value: 53.928
    - type: mrr_at_1000
      value: 53.964
    - type: mrr_at_3
      value: 51.168
    - type: mrr_at_5
      value: 52.434000000000005
    - type: ndcg_at_1
      value: 42.775
    - type: ndcg_at_10
      value: 53.376999999999995
    - type: ndcg_at_100
      value: 58.748
    - type: ndcg_at_1000
      value: 60.461
    - type: ndcg_at_3
      value: 48.929
    - type: ndcg_at_5
      value: 50.99399999999999
    - type: precision_at_1
      value: 42.775
    - type: precision_at_10
      value: 10.428999999999998
    - type: precision_at_100
      value: 1.678
    - type: precision_at_1000
      value: 0.215
    - type: precision_at_3
      value: 23.939
    - type: precision_at_5
      value: 17.082
    - type: recall_at_1
      value: 34.23
    - type: recall_at_10
      value: 64.96300000000001
    - type: recall_at_100
      value: 86.803
    - type: recall_at_1000
      value: 97.917
    - type: recall_at_3
      value: 51.815
    - type: recall_at_5
      value: 57.781000000000006
    - type: map_at_1
      value: 28.935
    - type: map_at_10
      value: 39.574999999999996
    - type: map_at_100
      value: 40.891
    - type: map_at_1000
      value: 41.043
    - type: map_at_3
      value: 36.248999999999995
    - type: map_at_5
      value: 38.157999999999994
    - type: mrr_at_1
      value: 36.624
    - type: mrr_at_10
      value: 45.241
    - type: mrr_at_100
      value: 46.028000000000006
    - type: mrr_at_1000
      value: 46.082
    - type: mrr_at_3
      value: 42.93
    - type: mrr_at_5
      value: 44.417
    - type: ndcg_at_1
      value: 36.624
    - type: ndcg_at_10
      value: 45.423
    - type: ndcg_at_100
      value: 49.971
    - type: ndcg_at_1000
      value: 52.382
    - type: ndcg_at_3
      value: 41.019
    - type: ndcg_at_5
      value: 43.254
    - type: precision_at_1
      value: 36.624
    - type: precision_at_10
      value: 8.86
    - type: precision_at_100
      value: 1.458
    - type: precision_at_1000
      value: 0.198
    - type: precision_at_3
      value: 20.276
    - type: precision_at_5
      value: 14.573
    - type: recall_at_1
      value: 28.935
    - type: recall_at_10
      value: 55.745999999999995
    - type: recall_at_100
      value: 74.977
    - type: recall_at_1000
      value: 90.505
    - type: recall_at_3
      value: 42.575
    - type: recall_at_5
      value: 48.902
    - type: map_at_1
      value: 38.828
    - type: map_at_10
      value: 50.888999999999996
    - type: map_at_100
      value: 52.001
    - type: map_at_1000
      value: 52.054
    - type: map_at_3
      value: 47.638999999999996
    - type: map_at_5
      value: 49.423
    - type: mrr_at_1
      value: 44.765
    - type: mrr_at_10
      value: 54.408
    - type: mrr_at_100
      value: 55.116
    - type: mrr_at_1000
      value: 55.144000000000005
    - type: mrr_at_3
      value: 52.038
    - type: mrr_at_5
      value: 53.323
    - type: ndcg_at_1
      value: 44.765
    - type: ndcg_at_10
      value: 56.724
    - type: ndcg_at_100
      value: 61.058
    - type: ndcg_at_1000
      value: 62.125
    - type: ndcg_at_3
      value: 51.324000000000005
    - type: ndcg_at_5
      value: 53.805
    - type: precision_at_1
      value: 44.765
    - type: precision_at_10
      value: 9.248000000000001
    - type: precision_at_100
      value: 1.234
    - type: precision_at_1000
      value: 0.136
    - type: precision_at_3
      value: 23.093
    - type: precision_at_5
      value: 15.799
    - type: recall_at_1
      value: 38.828
    - type: recall_at_10
      value: 70.493
    - type: recall_at_100
      value: 89.293
    - type: recall_at_1000
      value: 96.872
    - type: recall_at_3
      value: 55.74400000000001
    - type: recall_at_5
      value: 61.95
    - type: map_at_1
      value: 22.085
    - type: map_at_10
      value: 30.070000000000004
    - type: map_at_100
      value: 31.206
    - type: map_at_1000
      value: 31.291999999999998
    - type: map_at_3
      value: 27.011000000000003
    - type: map_at_5
      value: 28.854999999999997
    - type: mrr_at_1
      value: 23.842
    - type: mrr_at_10
      value: 31.755
    - type: mrr_at_100
      value: 32.778
    - type: mrr_at_1000
      value: 32.845
    - type: mrr_at_3
      value: 28.851
    - type: mrr_at_5
      value: 30.574
    - type: ndcg_at_1
      value: 23.842
    - type: ndcg_at_10
      value: 35.052
    - type: ndcg_at_100
      value: 40.550999999999995
    - type: ndcg_at_1000
      value: 42.789
    - type: ndcg_at_3
      value: 29.096
    - type: ndcg_at_5
      value: 32.251000000000005
    - type: precision_at_1
      value: 23.842
    - type: precision_at_10
      value: 5.605
    - type: precision_at_100
      value: 0.877
    - type: precision_at_1000
      value: 0.11100000000000002
    - type: precision_at_3
      value: 12.316
    - type: precision_at_5
      value: 9.13
    - type: recall_at_1
      value: 22.085
    - type: recall_at_10
      value: 48.815999999999995
    - type: recall_at_100
      value: 74.039
    - type: recall_at_1000
      value: 90.872
    - type: recall_at_3
      value: 33.098
    - type: recall_at_5
      value: 40.647
    - type: map_at_1
      value: 14.088999999999999
    - type: map_at_10
      value: 21.526
    - type: map_at_100
      value: 22.832
    - type: map_at_1000
      value: 22.958000000000002
    - type: map_at_3
      value: 18.747
    - type: map_at_5
      value: 20.396
    - type: mrr_at_1
      value: 17.662
    - type: mrr_at_10
      value: 25.513
    - type: mrr_at_100
      value: 26.621
    - type: mrr_at_1000
      value: 26.698
    - type: mrr_at_3
      value: 22.658
    - type: mrr_at_5
      value: 24.449
    - type: ndcg_at_1
      value: 17.662
    - type: ndcg_at_10
      value: 26.506999999999998
    - type: ndcg_at_100
      value: 32.782
    - type: ndcg_at_1000
      value: 35.709999999999994
    - type: ndcg_at_3
      value: 21.279
    - type: ndcg_at_5
      value: 23.998
    - type: precision_at_1
      value: 17.662
    - type: precision_at_10
      value: 5.124
    - type: precision_at_100
      value: 0.951
    - type: precision_at_1000
      value: 0.133
    - type: precision_at_3
      value: 10.323
    - type: precision_at_5
      value: 8.158999999999999
    - type: recall_at_1
      value: 14.088999999999999
    - type: recall_at_10
      value: 37.874
    - type: recall_at_100
      value: 65.34100000000001
    - type: recall_at_1000
      value: 86.06099999999999
    - type: recall_at_3
      value: 23.738999999999997
    - type: recall_at_5
      value: 30.359
    - type: map_at_1
      value: 24.75
    - type: map_at_10
      value: 34.156
    - type: map_at_100
      value: 35.638999999999996
    - type: map_at_1000
      value: 35.754999999999995
    - type: map_at_3
      value: 31.047000000000004
    - type: map_at_5
      value: 32.823
    - type: mrr_at_1
      value: 30.991000000000003
    - type: mrr_at_10
      value: 39.509
    - type: mrr_at_100
      value: 40.582
    - type: mrr_at_1000
      value: 40.636
    - type: mrr_at_3
      value: 37.103
    - type: mrr_at_5
      value: 38.503
    - type: ndcg_at_1
      value: 30.991000000000003
    - type: ndcg_at_10
      value: 39.719
    - type: ndcg_at_100
      value: 45.984
    - type: ndcg_at_1000
      value: 48.293
    - type: ndcg_at_3
      value: 34.92
    - type: ndcg_at_5
      value: 37.253
    - type: precision_at_1
      value: 30.991000000000003
    - type: precision_at_10
      value: 7.3340000000000005
    - type: precision_at_100
      value: 1.225
    - type: precision_at_1000
      value: 0.16
    - type: precision_at_3
      value: 16.586000000000002
    - type: precision_at_5
      value: 12.127
    - type: recall_at_1
      value: 24.75
    - type: recall_at_10
      value: 51.113
    - type: recall_at_100
      value: 77.338
    - type: recall_at_1000
      value: 92.764
    - type: recall_at_3
      value: 37.338
    - type: recall_at_5
      value: 43.437
    - type: map_at_1
      value: 23.158
    - type: map_at_10
      value: 32.877
    - type: map_at_100
      value: 34.226
    - type: map_at_1000
      value: 34.35
    - type: map_at_3
      value: 29.43
    - type: map_at_5
      value: 31.319000000000003
    - type: mrr_at_1
      value: 29.224
    - type: mrr_at_10
      value: 38.080000000000005
    - type: mrr_at_100
      value: 39.04
    - type: mrr_at_1000
      value: 39.097
    - type: mrr_at_3
      value: 35.407
    - type: mrr_at_5
      value: 36.771
    - type: ndcg_at_1
      value: 29.224
    - type: ndcg_at_10
      value: 38.805
    - type: ndcg_at_100
      value: 44.746
    - type: ndcg_at_1000
      value: 47.038000000000004
    - type: ndcg_at_3
      value: 33.269
    - type: ndcg_at_5
      value: 35.611
    - type: precision_at_1
      value: 29.224
    - type: precision_at_10
      value: 7.454
    - type: precision_at_100
      value: 1.221
    - type: precision_at_1000
      value: 0.16199999999999998
    - type: precision_at_3
      value: 16.134
    - type: precision_at_5
      value: 11.895
    - type: recall_at_1
      value: 23.158
    - type: recall_at_10
      value: 51.487
    - type: recall_at_100
      value: 77.464
    - type: recall_at_1000
      value: 92.525
    - type: recall_at_3
      value: 35.478
    - type: recall_at_5
      value: 41.722
    - type: map_at_1
      value: 24.456916666666668
    - type: map_at_10
      value: 33.5495
    - type: map_at_100
      value: 34.86808333333333
    - type: map_at_1000
      value: 34.98908333333333
    - type: map_at_3
      value: 30.59158333333334
    - type: map_at_5
      value: 32.24916666666667
    - type: mrr_at_1
      value: 29.387250000000005
    - type: mrr_at_10
      value: 37.73958333333333
    - type: mrr_at_100
      value: 38.6595
    - type: mrr_at_1000
      value: 38.718250000000005
    - type: mrr_at_3
      value: 35.31658333333333
    - type: mrr_at_5
      value: 36.69441666666667
    - type: ndcg_at_1
      value: 29.387250000000005
    - type: ndcg_at_10
      value: 38.910333333333334
    - type: ndcg_at_100
      value: 44.40241666666666
    - type: ndcg_at_1000
      value: 46.72008333333334
    - type: ndcg_at_3
      value: 34.045583333333326
    - type: ndcg_at_5
      value: 36.33725
    - type: precision_at_1
      value: 29.387250000000005
    - type: precision_at_10
      value: 7.034666666666668
    - type: precision_at_100
      value: 1.1698333333333333
    - type: precision_at_1000
      value: 0.15599999999999997
    - type: precision_at_3
      value: 15.866416666666666
    - type: precision_at_5
      value: 11.456333333333331
    - type: recall_at_1
      value: 24.456916666666668
    - type: recall_at_10
      value: 50.47758333333333
    - type: recall_at_100
      value: 74.52275
    - type: recall_at_1000
      value: 90.7105
    - type: recall_at_3
      value: 36.86275
    - type: recall_at_5
      value: 42.76533333333333
    - type: map_at_1
      value: 19.356
    - type: map_at_10
      value: 25.378
    - type: map_at_100
      value: 26.349
    - type: map_at_1000
      value: 26.451
    - type: map_at_3
      value: 23.403
    - type: map_at_5
      value: 24.614
    - type: mrr_at_1
      value: 22.086
    - type: mrr_at_10
      value: 28.072000000000003
    - type: mrr_at_100
      value: 28.887
    - type: mrr_at_1000
      value: 28.965999999999998
    - type: mrr_at_3
      value: 26.074
    - type: mrr_at_5
      value: 27.293
    - type: ndcg_at_1
      value: 22.086
    - type: ndcg_at_10
      value: 29.107
    - type: ndcg_at_100
      value: 34.0
    - type: ndcg_at_1000
      value: 36.793
    - type: ndcg_at_3
      value: 25.407999999999998
    - type: ndcg_at_5
      value: 27.375
    - type: precision_at_1
      value: 22.086
    - type: precision_at_10
      value: 4.678
    - type: precision_at_100
      value: 0.7779999999999999
    - type: precision_at_1000
      value: 0.11
    - type: precision_at_3
      value: 10.992
    - type: precision_at_5
      value: 7.853000000000001
    - type: recall_at_1
      value: 19.356
    - type: recall_at_10
      value: 37.913999999999994
    - type: recall_at_100
      value: 60.507999999999996
    - type: recall_at_1000
      value: 81.459
    - type: recall_at_3
      value: 27.874
    - type: recall_at_5
      value: 32.688
    - type: map_at_1
      value: 16.008
    - type: map_at_10
      value: 22.431
    - type: map_at_100
      value: 23.61
    - type: map_at_1000
      value: 23.743
    - type: map_at_3
      value: 20.358
    - type: map_at_5
      value: 21.371000000000002
    - type: mrr_at_1
      value: 19.752
    - type: mrr_at_10
      value: 26.333000000000002
    - type: mrr_at_100
      value: 27.297
    - type: mrr_at_1000
      value: 27.378000000000004
    - type: mrr_at_3
      value: 24.358
    - type: mrr_at_5
      value: 25.354
    - type: ndcg_at_1
      value: 19.752
    - type: ndcg_at_10
      value: 26.712000000000003
    - type: ndcg_at_100
      value: 32.294
    - type: ndcg_at_1000
      value: 35.410000000000004
    - type: ndcg_at_3
      value: 22.974
    - type: ndcg_at_5
      value: 24.412
    - type: precision_at_1
      value: 19.752
    - type: precision_at_10
      value: 4.986
    - type: precision_at_100
      value: 0.924
    - type: precision_at_1000
      value: 0.13699999999999998
    - type: precision_at_3
      value: 10.966
    - type: precision_at_5
      value: 7.832
    - type: recall_at_1
      value: 16.008
    - type: recall_at_10
      value: 35.716
    - type: recall_at_100
      value: 60.76200000000001
    - type: recall_at_1000
      value: 83.204
    - type: recall_at_3
      value: 25.092
    - type: recall_at_5
      value: 28.858
    - type: map_at_1
      value: 24.743000000000002
    - type: map_at_10
      value: 34.492
    - type: map_at_100
      value: 35.716
    - type: map_at_1000
      value: 35.815999999999995
    - type: map_at_3
      value: 31.201
    - type: map_at_5
      value: 32.926
    - type: mrr_at_1
      value: 29.384
    - type: mrr_at_10
      value: 38.333
    - type: mrr_at_100
      value: 39.278
    - type: mrr_at_1000
      value: 39.330999999999996
    - type: mrr_at_3
      value: 35.65
    - type: mrr_at_5
      value: 36.947
    - type: ndcg_at_1
      value: 29.384
    - type: ndcg_at_10
      value: 40.195
    - type: ndcg_at_100
      value: 45.686
    - type: ndcg_at_1000
      value: 47.906
    - type: ndcg_at_3
      value: 34.477000000000004
    - type: ndcg_at_5
      value: 36.89
    - type: precision_at_1
      value: 29.384
    - type: precision_at_10
      value: 7.164
    - type: precision_at_100
      value: 1.111
    - type: precision_at_1000
      value: 0.13999999999999999
    - type: precision_at_3
      value: 15.983
    - type: precision_at_5
      value: 11.418000000000001
    - type: recall_at_1
      value: 24.743000000000002
    - type: recall_at_10
      value: 53.602000000000004
    - type: recall_at_100
      value: 77.266
    - type: recall_at_1000
      value: 92.857
    - type: recall_at_3
      value: 37.921
    - type: recall_at_5
      value: 44.124
    - type: map_at_1
      value: 26.531
    - type: map_at_10
      value: 35.933
    - type: map_at_100
      value: 37.913000000000004
    - type: map_at_1000
      value: 38.146
    - type: map_at_3
      value: 32.713
    - type: map_at_5
      value: 34.339999999999996
    - type: mrr_at_1
      value: 32.806000000000004
    - type: mrr_at_10
      value: 41.728
    - type: mrr_at_100
      value: 42.731
    - type: mrr_at_1000
      value: 42.777
    - type: mrr_at_3
      value: 39.065
    - type: mrr_at_5
      value: 40.467999999999996
    - type: ndcg_at_1
      value: 32.806000000000004
    - type: ndcg_at_10
      value: 42.254999999999995
    - type: ndcg_at_100
      value: 48.687999999999995
    - type: ndcg_at_1000
      value: 50.784
    - type: ndcg_at_3
      value: 37.330999999999996
    - type: ndcg_at_5
      value: 39.305
    - type: precision_at_1
      value: 32.806000000000004
    - type: precision_at_10
      value: 8.34
    - type: precision_at_100
      value: 1.7209999999999999
    - type: precision_at_1000
      value: 0.252
    - type: precision_at_3
      value: 17.589
    - type: precision_at_5
      value: 12.845999999999998
    - type: recall_at_1
      value: 26.531
    - type: recall_at_10
      value: 53.266000000000005
    - type: recall_at_100
      value: 81.49499999999999
    - type: recall_at_1000
      value: 94.506
    - type: recall_at_3
      value: 38.848
    - type: recall_at_5
      value: 44.263000000000005
    - type: map_at_1
      value: 20.77
    - type: map_at_10
      value: 28.504
    - type: map_at_100
      value: 29.580000000000002
    - type: map_at_1000
      value: 29.681
    - type: map_at_3
      value: 26.134
    - type: map_at_5
      value: 27.551
    - type: mrr_at_1
      value: 22.736
    - type: mrr_at_10
      value: 30.713
    - type: mrr_at_100
      value: 31.628
    - type: mrr_at_1000
      value: 31.701
    - type: mrr_at_3
      value: 28.497
    - type: mrr_at_5
      value: 29.799999999999997
    - type: ndcg_at_1
      value: 22.736
    - type: ndcg_at_10
      value: 33.048
    - type: ndcg_at_100
      value: 38.321
    - type: ndcg_at_1000
      value: 40.949999999999996
    - type: ndcg_at_3
      value: 28.521
    - type: ndcg_at_5
      value: 30.898999999999997
    - type: precision_at_1
      value: 22.736
    - type: precision_at_10
      value: 5.194
    - type: precision_at_100
      value: 0.86
    - type: precision_at_1000
      value: 0.11800000000000001
    - type: precision_at_3
      value: 12.2
    - type: precision_at_5
      value: 8.762
    - type: recall_at_1
      value: 20.77
    - type: recall_at_10
      value: 44.741
    - type: recall_at_100
      value: 68.987
    - type: recall_at_1000
      value: 88.984
    - type: recall_at_3
      value: 32.830999999999996
    - type: recall_at_5
      value: 38.452999999999996
  - task:
      type: Retrieval
    dataset:
      name: MTEB ClimateFEVER
      type: climate-fever
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 9.646
    - type: map_at_10
      value: 17.432
    - type: map_at_100
      value: 19.347
    - type: map_at_1000
      value: 19.555
    - type: map_at_3
      value: 14.355
    - type: map_at_5
      value: 15.83
    - type: mrr_at_1
      value: 21.433
    - type: mrr_at_10
      value: 32.583
    - type: mrr_at_100
      value: 33.708
    - type: mrr_at_1000
      value: 33.751999999999995
    - type: mrr_at_3
      value: 28.979
    - type: mrr_at_5
      value: 30.979
    - type: ndcg_at_1
      value: 21.433
    - type: ndcg_at_10
      value: 25.025
    - type: ndcg_at_100
      value: 32.818999999999996
    - type: ndcg_at_1000
      value: 36.549
    - type: ndcg_at_3
      value: 19.689
    - type: ndcg_at_5
      value: 21.462
    - type: precision_at_1
      value: 21.433
    - type: precision_at_10
      value: 8.085
    - type: precision_at_100
      value: 1.6340000000000001
    - type: precision_at_1000
      value: 0.233
    - type: precision_at_3
      value: 14.832
    - type: precision_at_5
      value: 11.530999999999999
    - type: recall_at_1
      value: 9.646
    - type: recall_at_10
      value: 31.442999999999998
    - type: recall_at_100
      value: 58.48
    - type: recall_at_1000
      value: 79.253
    - type: recall_at_3
      value: 18.545
    - type: recall_at_5
      value: 23.362
  - task:
      type: Retrieval
    dataset:
      name: MTEB DBPedia
      type: dbpedia-entity
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 8.48
    - type: map_at_10
      value: 18.127
    - type: map_at_100
      value: 25.563999999999997
    - type: map_at_1000
      value: 27.386
    - type: map_at_3
      value: 13.189
    - type: map_at_5
      value: 15.417
    - type: mrr_at_1
      value: 63.74999999999999
    - type: mrr_at_10
      value: 71.34899999999999
    - type: mrr_at_100
      value: 71.842
    - type: mrr_at_1000
      value: 71.851
    - type: mrr_at_3
      value: 69.167
    - type: mrr_at_5
      value: 70.479
    - type: ndcg_at_1
      value: 51.87500000000001
    - type: ndcg_at_10
      value: 38.792
    - type: ndcg_at_100
      value: 43.889
    - type: ndcg_at_1000
      value: 51.561
    - type: ndcg_at_3
      value: 42.686
    - type: ndcg_at_5
      value: 40.722
    - type: precision_at_1
      value: 63.74999999999999
    - type: precision_at_10
      value: 30.375000000000004
    - type: precision_at_100
      value: 10.103
    - type: precision_at_1000
      value: 2.257
    - type: precision_at_3
      value: 45.167
    - type: precision_at_5
      value: 38.95
    - type: recall_at_1
      value: 8.48
    - type: recall_at_10
      value: 23.008
    - type: recall_at_100
      value: 48.875
    - type: recall_at_1000
      value: 73.402
    - type: recall_at_3
      value: 14.377
    - type: recall_at_5
      value: 17.819
  - task:
      type: Classification
    dataset:
      name: MTEB EmotionClassification
      type: mteb/emotion
      config: default
      split: test
      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
    metrics:
    - type: accuracy
      value: 47.83
    - type: f1
      value: 41.76842531751529
  - task:
      type: Retrieval
    dataset:
      name: MTEB FEVER
      type: fever
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 62.247
    - type: map_at_10
      value: 72.782
    - type: map_at_100
      value: 73.095
    - type: map_at_1000
      value: 73.112
    - type: map_at_3
      value: 70.928
    - type: map_at_5
      value: 72.173
    - type: mrr_at_1
      value: 67.372
    - type: mrr_at_10
      value: 77.538
    - type: mrr_at_100
      value: 77.741
    - type: mrr_at_1000
      value: 77.74600000000001
    - type: mrr_at_3
      value: 75.938
    - type: mrr_at_5
      value: 77.054
    - type: ndcg_at_1
      value: 67.372
    - type: ndcg_at_10
      value: 78.001
    - type: ndcg_at_100
      value: 79.295
    - type: ndcg_at_1000
      value: 79.648
    - type: ndcg_at_3
      value: 74.71
    - type: ndcg_at_5
      value: 76.712
    - type: precision_at_1
      value: 67.372
    - type: precision_at_10
      value: 9.844999999999999
    - type: precision_at_100
      value: 1.065
    - type: precision_at_1000
      value: 0.11100000000000002
    - type: precision_at_3
      value: 29.308
    - type: precision_at_5
      value: 18.731
    - type: recall_at_1
      value: 62.247
    - type: recall_at_10
      value: 89.453
    - type: recall_at_100
      value: 94.998
    - type: recall_at_1000
      value: 97.385
    - type: recall_at_3
      value: 80.563
    - type: recall_at_5
      value: 85.58099999999999
  - task:
      type: Retrieval
    dataset:
      name: MTEB FiQA2018
      type: fiqa
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 22.587
    - type: map_at_10
      value: 37.316
    - type: map_at_100
      value: 39.542
    - type: map_at_1000
      value: 39.701
    - type: map_at_3
      value: 32.332
    - type: map_at_5
      value: 35.172
    - type: mrr_at_1
      value: 42.437999999999995
    - type: mrr_at_10
      value: 51.98500000000001
    - type: mrr_at_100
      value: 52.910999999999994
    - type: mrr_at_1000
      value: 52.944
    - type: mrr_at_3
      value: 49.691
    - type: mrr_at_5
      value: 51.15
    - type: ndcg_at_1
      value: 42.437999999999995
    - type: ndcg_at_10
      value: 45.016
    - type: ndcg_at_100
      value: 52.541000000000004
    - type: ndcg_at_1000
      value: 54.99699999999999
    - type: ndcg_at_3
      value: 41.175
    - type: ndcg_at_5
      value: 42.647
    - type: precision_at_1
      value: 42.437999999999995
    - type: precision_at_10
      value: 12.855
    - type: precision_at_100
      value: 2.049
    - type: precision_at_1000
      value: 0.247
    - type: precision_at_3
      value: 27.675
    - type: precision_at_5
      value: 20.617
    - type: recall_at_1
      value: 22.587
    - type: recall_at_10
      value: 51.547
    - type: recall_at_100
      value: 78.88
    - type: recall_at_1000
      value: 93.741
    - type: recall_at_3
      value: 37.256
    - type: recall_at_5
      value: 44.295
  - task:
      type: Retrieval
    dataset:
      name: MTEB HotpotQA
      type: hotpotqa
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 32.451
    - type: map_at_10
      value: 48.082
    - type: map_at_100
      value: 49.08
    - type: map_at_1000
      value: 49.163000000000004
    - type: map_at_3
      value: 44.766
    - type: map_at_5
      value: 46.722
    - type: mrr_at_1
      value: 64.902
    - type: mrr_at_10
      value: 72.195
    - type: mrr_at_100
      value: 72.572
    - type: mrr_at_1000
      value: 72.589
    - type: mrr_at_3
      value: 70.774
    - type: mrr_at_5
      value: 71.611
    - type: ndcg_at_1
      value: 64.902
    - type: ndcg_at_10
      value: 57.14399999999999
    - type: ndcg_at_100
      value: 60.916000000000004
    - type: ndcg_at_1000
      value: 62.649
    - type: ndcg_at_3
      value: 52.09
    - type: ndcg_at_5
      value: 54.70399999999999
    - type: precision_at_1
      value: 64.902
    - type: precision_at_10
      value: 12.136
    - type: precision_at_100
      value: 1.51
    - type: precision_at_1000
      value: 0.174
    - type: precision_at_3
      value: 32.933
    - type: precision_at_5
      value: 21.823
    - type: recall_at_1
      value: 32.451
    - type: recall_at_10
      value: 60.682
    - type: recall_at_100
      value: 75.523
    - type: recall_at_1000
      value: 87.063
    - type: recall_at_3
      value: 49.399
    - type: recall_at_5
      value: 54.55799999999999
  - task:
      type: Classification
    dataset:
      name: MTEB ImdbClassification
      type: mteb/imdb
      config: default
      split: test
      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
    metrics:
    - type: accuracy
      value: 89.6584
    - type: ap
      value: 85.36881978624284
    - type: f1
      value: 89.64170045393931
  - task:
      type: Retrieval
    dataset:
      name: MTEB MSMARCO
      type: msmarco
      config: default
      split: dev
      revision: None
    metrics:
    - type: map_at_1
      value: 17.942
    - type: map_at_10
      value: 29.755
    - type: map_at_100
      value: 31.008000000000003
    - type: map_at_1000
      value: 31.067
    - type: map_at_3
      value: 25.959
    - type: map_at_5
      value: 28.044999999999998
    - type: mrr_at_1
      value: 18.467
    - type: mrr_at_10
      value: 30.253000000000004
    - type: mrr_at_100
      value: 31.461
    - type: mrr_at_1000
      value: 31.513
    - type: mrr_at_3
      value: 26.528000000000002
    - type: mrr_at_5
      value: 28.588
    - type: ndcg_at_1
      value: 18.467
    - type: ndcg_at_10
      value: 36.510999999999996
    - type: ndcg_at_100
      value: 42.748999999999995
    - type: ndcg_at_1000
      value: 44.188
    - type: ndcg_at_3
      value: 28.752
    - type: ndcg_at_5
      value: 32.462
    - type: precision_at_1
      value: 18.467
    - type: precision_at_10
      value: 6.006
    - type: precision_at_100
      value: 0.9169999999999999
    - type: precision_at_1000
      value: 0.104
    - type: precision_at_3
      value: 12.55
    - type: precision_at_5
      value: 9.395000000000001
    - type: recall_at_1
      value: 17.942
    - type: recall_at_10
      value: 57.440000000000005
    - type: recall_at_100
      value: 86.66199999999999
    - type: recall_at_1000
      value: 97.613
    - type: recall_at_3
      value: 36.271
    - type: recall_at_5
      value: 45.167
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPDomainClassification (en)
      type: mteb/mtop_domain
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
    - type: accuracy
      value: 93.76652986776104
    - type: f1
      value: 93.726741953801
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPIntentClassification (en)
      type: mteb/mtop_intent
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
    - type: accuracy
      value: 67.79753761969903
    - type: f1
      value: 45.8547023848409
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (en)
      type: mteb/amazon_massive_intent
      config: en
      split: test
      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
    metrics:
    - type: accuracy
      value: 70.26563550773369
    - type: f1
      value: 67.37602000921103
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (en)
      type: mteb/amazon_massive_scenario
      config: en
      split: test
      revision: 7d571f92784cd94a019292a1f45445077d0ef634
    metrics:
    - type: accuracy
      value: 74.51244115669132
    - type: f1
      value: 73.79891534060464
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringP2P
      type: mteb/medrxiv-clustering-p2p
      config: default
      split: test
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
    metrics:
    - type: v_measure
      value: 33.88016176143737
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringS2S
      type: mteb/medrxiv-clustering-s2s
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
    metrics:
    - type: v_measure
      value: 32.07643038274053
  - task:
      type: Reranking
    dataset:
      name: MTEB MindSmallReranking
      type: mteb/mind_small
      config: default
      split: test
      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
    metrics:
    - type: map
      value: 30.81344342001539
    - type: mrr
      value: 31.82078962760685
  - task:
      type: Retrieval
    dataset:
      name: MTEB NFCorpus
      type: nfcorpus
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 4.617
    - type: map_at_10
      value: 11.501
    - type: map_at_100
      value: 14.729999999999999
    - type: map_at_1000
      value: 16.209
    - type: map_at_3
      value: 8.275
    - type: map_at_5
      value: 9.853000000000002
    - type: mrr_at_1
      value: 41.486000000000004
    - type: mrr_at_10
      value: 51.471999999999994
    - type: mrr_at_100
      value: 52.020999999999994
    - type: mrr_at_1000
      value: 52.066
    - type: mrr_at_3
      value: 49.484
    - type: mrr_at_5
      value: 50.660000000000004
    - type: ndcg_at_1
      value: 38.854
    - type: ndcg_at_10
      value: 31.567
    - type: ndcg_at_100
      value: 29.842999999999996
    - type: ndcg_at_1000
      value: 38.995000000000005
    - type: ndcg_at_3
      value: 36.785000000000004
    - type: ndcg_at_5
      value: 34.955000000000005
    - type: precision_at_1
      value: 40.867
    - type: precision_at_10
      value: 23.591
    - type: precision_at_100
      value: 7.771
    - type: precision_at_1000
      value: 2.11
    - type: precision_at_3
      value: 35.397
    - type: precision_at_5
      value: 30.959999999999997
    - type: recall_at_1
      value: 4.617
    - type: recall_at_10
      value: 15.609
    - type: recall_at_100
      value: 31.313999999999997
    - type: recall_at_1000
      value: 63.085
    - type: recall_at_3
      value: 9.746
    - type: recall_at_5
      value: 12.295
  - task:
      type: Retrieval
    dataset:
      name: MTEB NQ
      type: nq
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 28.797
    - type: map_at_10
      value: 44.822
    - type: map_at_100
      value: 45.891999999999996
    - type: map_at_1000
      value: 45.919
    - type: map_at_3
      value: 40.237
    - type: map_at_5
      value: 42.913000000000004
    - type: mrr_at_1
      value: 32.561
    - type: mrr_at_10
      value: 46.982
    - type: mrr_at_100
      value: 47.827
    - type: mrr_at_1000
      value: 47.843999999999994
    - type: mrr_at_3
      value: 43.26
    - type: mrr_at_5
      value: 45.527
    - type: ndcg_at_1
      value: 32.532
    - type: ndcg_at_10
      value: 52.832
    - type: ndcg_at_100
      value: 57.343999999999994
    - type: ndcg_at_1000
      value: 57.93899999999999
    - type: ndcg_at_3
      value: 44.246
    - type: ndcg_at_5
      value: 48.698
    - type: precision_at_1
      value: 32.532
    - type: precision_at_10
      value: 9.003
    - type: precision_at_100
      value: 1.1480000000000001
    - type: precision_at_1000
      value: 0.12
    - type: precision_at_3
      value: 20.605999999999998
    - type: precision_at_5
      value: 14.954
    - type: recall_at_1
      value: 28.797
    - type: recall_at_10
      value: 75.065
    - type: recall_at_100
      value: 94.6
    - type: recall_at_1000
      value: 98.967
    - type: recall_at_3
      value: 52.742
    - type: recall_at_5
      value: 63.012
  - task:
      type: Retrieval
    dataset:
      name: MTEB QuoraRetrieval
      type: quora
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 69.84700000000001
    - type: map_at_10
      value: 83.91499999999999
    - type: map_at_100
      value: 84.568
    - type: map_at_1000
      value: 84.584
    - type: map_at_3
      value: 80.87299999999999
    - type: map_at_5
      value: 82.76299999999999
    - type: mrr_at_1
      value: 80.4
    - type: mrr_at_10
      value: 86.843
    - type: mrr_at_100
      value: 86.956
    - type: mrr_at_1000
      value: 86.957
    - type: mrr_at_3
      value: 85.843
    - type: mrr_at_5
      value: 86.521
    - type: ndcg_at_1
      value: 80.4
    - type: ndcg_at_10
      value: 87.787
    - type: ndcg_at_100
      value: 89.039
    - type: ndcg_at_1000
      value: 89.137
    - type: ndcg_at_3
      value: 84.76700000000001
    - type: ndcg_at_5
      value: 86.413
    - type: precision_at_1
      value: 80.4
    - type: precision_at_10
      value: 13.391
    - type: precision_at_100
      value: 1.533
    - type: precision_at_1000
      value: 0.157
    - type: precision_at_3
      value: 37.123
    - type: precision_at_5
      value: 24.462
    - type: recall_at_1
      value: 69.84700000000001
    - type: recall_at_10
      value: 95.296
    - type: recall_at_100
      value: 99.543
    - type: recall_at_1000
      value: 99.98700000000001
    - type: recall_at_3
      value: 86.75
    - type: recall_at_5
      value: 91.33099999999999
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClustering
      type: mteb/reddit-clustering
      config: default
      split: test
      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
    metrics:
    - type: v_measure
      value: 54.24501738730203
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClusteringP2P
      type: mteb/reddit-clustering-p2p
      config: default
      split: test
      revision: 282350215ef01743dc01b456c7f5241fa8937f16
    metrics:
    - type: v_measure
      value: 61.28243705082983
  - task:
      type: Retrieval
    dataset:
      name: MTEB SCIDOCS
      type: scidocs
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 3.473
    - type: map_at_10
      value: 8.944
    - type: map_at_100
      value: 11.21
    - type: map_at_1000
      value: 11.601
    - type: map_at_3
      value: 6.167
    - type: map_at_5
      value: 7.438000000000001
    - type: mrr_at_1
      value: 17.1
    - type: mrr_at_10
      value: 26.487
    - type: mrr_at_100
      value: 27.888
    - type: mrr_at_1000
      value: 27.961000000000002
    - type: mrr_at_3
      value: 23.25
    - type: mrr_at_5
      value: 24.91
    - type: ndcg_at_1
      value: 17.1
    - type: ndcg_at_10
      value: 15.615000000000002
    - type: ndcg_at_100
      value: 24.667
    - type: ndcg_at_1000
      value: 31.467
    - type: ndcg_at_3
      value: 14.035
    - type: ndcg_at_5
      value: 12.443
    - type: precision_at_1
      value: 17.1
    - type: precision_at_10
      value: 8.4
    - type: precision_at_100
      value: 2.149
    - type: precision_at_1000
      value: 0.378
    - type: precision_at_3
      value: 13.200000000000001
    - type: precision_at_5
      value: 11.06
    - type: recall_at_1
      value: 3.473
    - type: recall_at_10
      value: 17.087
    - type: recall_at_100
      value: 43.641999999999996
    - type: recall_at_1000
      value: 76.7
    - type: recall_at_3
      value: 8.037999999999998
    - type: recall_at_5
      value: 11.232000000000001
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R
      type: mteb/sickr-sts
      config: default
      split: test
      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
    metrics:
    - type: cos_sim_pearson
      value: 86.07032781899852
    - type: cos_sim_spearman
      value: 81.86668245459153
    - type: euclidean_pearson
      value: 83.75572948495356
    - type: euclidean_spearman
      value: 81.88575221829207
    - type: manhattan_pearson
      value: 83.73171218997966
    - type: manhattan_spearman
      value: 81.85928771458329
  - task:
      type: STS
    dataset:
      name: MTEB STS12
      type: mteb/sts12-sts
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cos_sim_pearson
      value: 80.29008828604368
    - type: cos_sim_spearman
      value: 70.7510437896188
    - type: euclidean_pearson
      value: 76.65867322096001
    - type: euclidean_spearman
      value: 70.53984435296805
    - type: manhattan_pearson
      value: 76.6398826461678
    - type: manhattan_spearman
      value: 70.55153706770477
  - task:
      type: STS
    dataset:
      name: MTEB STS13
      type: mteb/sts13-sts
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cos_sim_pearson
      value: 83.55610063096913
    - type: cos_sim_spearman
      value: 84.36676850545378
    - type: euclidean_pearson
      value: 82.81438612985889
    - type: euclidean_spearman
      value: 84.182693686057
    - type: manhattan_pearson
      value: 82.8355239074719
    - type: manhattan_spearman
      value: 84.19280249146543
  - task:
      type: STS
    dataset:
      name: MTEB STS14
      type: mteb/sts14-sts
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cos_sim_pearson
      value: 78.94275022740113
    - type: cos_sim_spearman
      value: 74.50851813226338
    - type: euclidean_pearson
      value: 77.30867917552419
    - type: euclidean_spearman
      value: 74.55661368823343
    - type: manhattan_pearson
      value: 77.31883134876524
    - type: manhattan_spearman
      value: 74.58999819014154
  - task:
      type: STS
    dataset:
      name: MTEB STS15
      type: mteb/sts15-sts
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cos_sim_pearson
      value: 85.62907185533146
    - type: cos_sim_spearman
      value: 86.40667080261993
    - type: euclidean_pearson
      value: 85.15184748925726
    - type: euclidean_spearman
      value: 86.33853519247509
    - type: manhattan_pearson
      value: 85.21542426870172
    - type: manhattan_spearman
      value: 86.4076178438401
  - task:
      type: STS
    dataset:
      name: MTEB STS16
      type: mteb/sts16-sts
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cos_sim_pearson
      value: 83.42449758804275
    - type: cos_sim_spearman
      value: 84.7411616479609
    - type: euclidean_pearson
      value: 83.56616729612806
    - type: euclidean_spearman
      value: 84.44493050289694
    - type: manhattan_pearson
      value: 83.50906591764574
    - type: manhattan_spearman
      value: 84.39704993090794
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-en)
      type: mteb/sts17-crosslingual-sts
      config: en-en
      split: test
      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
    metrics:
    - type: cos_sim_pearson
      value: 88.84843806728331
    - type: cos_sim_spearman
      value: 89.03139214250334
    - type: euclidean_pearson
      value: 89.63615835813032
    - type: euclidean_spearman
      value: 89.33022202130817
    - type: manhattan_pearson
      value: 89.67071925715891
    - type: manhattan_spearman
      value: 89.29339683171531
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (en)
      type: mteb/sts22-crosslingual-sts
      config: en
      split: test
      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
    metrics:
    - type: cos_sim_pearson
      value: 65.65559857216783
    - type: cos_sim_spearman
      value: 65.86805861979079
    - type: euclidean_pearson
      value: 66.69697475461513
    - type: euclidean_spearman
      value: 66.07735691378713
    - type: manhattan_pearson
      value: 66.63427637906918
    - type: manhattan_spearman
      value: 65.95720565040364
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmark
      type: mteb/stsbenchmark-sts
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cos_sim_pearson
      value: 86.06435608928308
    - type: cos_sim_spearman
      value: 86.46139340079428
    - type: euclidean_pearson
      value: 86.4874804471064
    - type: euclidean_spearman
      value: 86.19390771731406
    - type: manhattan_pearson
      value: 86.51184704840284
    - type: manhattan_spearman
      value: 86.19094101171963
  - task:
      type: Reranking
    dataset:
      name: MTEB SciDocsRR
      type: mteb/scidocs-reranking
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: map
      value: 85.10723925640346
    - type: mrr
      value: 95.62579305226365
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact
      type: scifact
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 56.233
    - type: map_at_10
      value: 64.94
    - type: map_at_100
      value: 65.508
    - type: map_at_1000
      value: 65.537
    - type: map_at_3
      value: 62.121
    - type: map_at_5
      value: 63.92400000000001
    - type: mrr_at_1
      value: 58.667
    - type: mrr_at_10
      value: 66.352
    - type: mrr_at_100
      value: 66.751
    - type: mrr_at_1000
      value: 66.777
    - type: mrr_at_3
      value: 64.22200000000001
    - type: mrr_at_5
      value: 65.656
    - type: ndcg_at_1
      value: 58.667
    - type: ndcg_at_10
      value: 69.318
    - type: ndcg_at_100
      value: 71.822
    - type: ndcg_at_1000
      value: 72.578
    - type: ndcg_at_3
      value: 64.532
    - type: ndcg_at_5
      value: 67.292
    - type: precision_at_1
      value: 58.667
    - type: precision_at_10
      value: 9.133
    - type: precision_at_100
      value: 1.05
    - type: precision_at_1000
      value: 0.11199999999999999
    - type: precision_at_3
      value: 24.889
    - type: precision_at_5
      value: 16.733
    - type: recall_at_1
      value: 56.233
    - type: recall_at_10
      value: 81.206
    - type: recall_at_100
      value: 92.80000000000001
    - type: recall_at_1000
      value: 98.667
    - type: recall_at_3
      value: 68.672
    - type: recall_at_5
      value: 75.378
  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions
      type: mteb/sprintduplicatequestions-pairclassification
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
    - type: cos_sim_accuracy
      value: 99.56336633663366
    - type: cos_sim_ap
      value: 86.13024319858586
    - type: cos_sim_f1
      value: 76.80157946692991
    - type: cos_sim_precision
      value: 75.82846003898635
    - type: cos_sim_recall
      value: 77.8
    - type: dot_accuracy
      value: 99.56336633663366
    - type: dot_ap
      value: 86.13028343072267
    - type: dot_f1
      value: 76.80157946692991
    - type: dot_precision
      value: 75.82846003898635
    - type: dot_recall
      value: 77.8
    - type: euclidean_accuracy
      value: 99.56336633663366
    - type: euclidean_ap
      value: 86.13029040641543
    - type: euclidean_f1
      value: 76.80157946692991
    - type: euclidean_precision
      value: 75.82846003898635
    - type: euclidean_recall
      value: 77.8
    - type: manhattan_accuracy
      value: 99.56534653465347
    - type: manhattan_ap
      value: 86.24817068330776
    - type: manhattan_f1
      value: 77.13580246913581
    - type: manhattan_precision
      value: 76.19512195121952
    - type: manhattan_recall
      value: 78.10000000000001
    - type: max_accuracy
      value: 99.56534653465347
    - type: max_ap
      value: 86.24817068330776
    - type: max_f1
      value: 77.13580246913581
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClustering
      type: mteb/stackexchange-clustering
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
    metrics:
    - type: v_measure
      value: 64.69564559409538
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClusteringP2P
      type: mteb/stackexchange-clustering-p2p
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
    metrics:
    - type: v_measure
      value: 34.23127531581388
  - task:
      type: Reranking
    dataset:
      name: MTEB StackOverflowDupQuestions
      type: mteb/stackoverflowdupquestions-reranking
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
    - type: map
      value: 49.845357053686975
    - type: mrr
      value: 50.59803656311009
  - task:
      type: Summarization
    dataset:
      name: MTEB SummEval
      type: mteb/summeval
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
    metrics:
    - type: cos_sim_pearson
      value: 29.02241691876377
    - type: cos_sim_spearman
      value: 29.017719340560923
    - type: dot_pearson
      value: 29.59373129445045
    - type: dot_spearman
      value: 29.616196388331968
  - task:
      type: Retrieval
    dataset:
      name: MTEB TRECCOVID
      type: trec-covid
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 0.157
    - type: map_at_10
      value: 0.9440000000000001
    - type: map_at_100
      value: 4.61
    - type: map_at_1000
      value: 11.488
    - type: map_at_3
      value: 0.396
    - type: map_at_5
      value: 0.569
    - type: mrr_at_1
      value: 57.99999999999999
    - type: mrr_at_10
      value: 71.672
    - type: mrr_at_100
      value: 71.707
    - type: mrr_at_1000
      value: 71.707
    - type: mrr_at_3
      value: 68.333
    - type: mrr_at_5
      value: 70.533
    - type: ndcg_at_1
      value: 54.0
    - type: ndcg_at_10
      value: 45.216
    - type: ndcg_at_100
      value: 32.623999999999995
    - type: ndcg_at_1000
      value: 33.006
    - type: ndcg_at_3
      value: 51.76500000000001
    - type: ndcg_at_5
      value: 47.888999999999996
    - type: precision_at_1
      value: 57.99999999999999
    - type: precision_at_10
      value: 48.0
    - type: precision_at_100
      value: 32.74
    - type: precision_at_1000
      value: 14.588000000000001
    - type: precision_at_3
      value: 55.333
    - type: precision_at_5
      value: 51.2
    - type: recall_at_1
      value: 0.157
    - type: recall_at_10
      value: 1.212
    - type: recall_at_100
      value: 7.868
    - type: recall_at_1000
      value: 31.583
    - type: recall_at_3
      value: 0.443
    - type: recall_at_5
      value: 0.6779999999999999
  - task:
      type: Retrieval
    dataset:
      name: MTEB Touche2020
      type: webis-touche2020
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 1.545
    - type: map_at_10
      value: 4.6690000000000005
    - type: map_at_100
      value: 8.982
    - type: map_at_1000
      value: 10.453999999999999
    - type: map_at_3
      value: 2.35
    - type: map_at_5
      value: 3.168
    - type: mrr_at_1
      value: 18.367
    - type: mrr_at_10
      value: 28.599999999999998
    - type: mrr_at_100
      value: 30.287
    - type: mrr_at_1000
      value: 30.339
    - type: mrr_at_3
      value: 24.490000000000002
    - type: mrr_at_5
      value: 27.040999999999997
    - type: ndcg_at_1
      value: 17.347
    - type: ndcg_at_10
      value: 13.868
    - type: ndcg_at_100
      value: 25.499
    - type: ndcg_at_1000
      value: 37.922
    - type: ndcg_at_3
      value: 13.746
    - type: ndcg_at_5
      value: 13.141
    - type: precision_at_1
      value: 18.367
    - type: precision_at_10
      value: 12.653
    - type: precision_at_100
      value: 5.776
    - type: precision_at_1000
      value: 1.3860000000000001
    - type: precision_at_3
      value: 13.605
    - type: precision_at_5
      value: 13.061
    - type: recall_at_1
      value: 1.545
    - type: recall_at_10
      value: 9.305
    - type: recall_at_100
      value: 38.084
    - type: recall_at_1000
      value: 75.897
    - type: recall_at_3
      value: 2.903
    - type: recall_at_5
      value: 4.8919999999999995
  - task:
      type: Classification
    dataset:
      name: MTEB ToxicConversationsClassification
      type: mteb/toxic_conversations_50k
      config: default
      split: test
      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
    metrics:
    - type: accuracy
      value: 70.8454
    - type: ap
      value: 14.744783758537974
    - type: f1
      value: 54.86055534008869
  - task:
      type: Classification
    dataset:
      name: MTEB TweetSentimentExtractionClassification
      type: mteb/tweet_sentiment_extraction
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    metrics:
    - type: accuracy
      value: 58.71250707413695
    - type: f1
      value: 58.76581794782603
  - task:
      type: Clustering
    dataset:
      name: MTEB TwentyNewsgroupsClustering
      type: mteb/twentynewsgroups-clustering
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: v_measure
      value: 49.314744135178934
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterSemEval2015
      type: mteb/twittersemeval2015-pairclassification
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    metrics:
    - type: cos_sim_accuracy
      value: 84.13899982118377
    - type: cos_sim_ap
      value: 68.03329474978145
    - type: cos_sim_f1
      value: 63.31192005710206
    - type: cos_sim_precision
      value: 57.6473136915078
    - type: cos_sim_recall
      value: 70.21108179419525
    - type: dot_accuracy
      value: 84.13899982118377
    - type: dot_ap
      value: 68.03324775052695
    - type: dot_f1
      value: 63.31192005710206
    - type: dot_precision
      value: 57.6473136915078
    - type: dot_recall
      value: 70.21108179419525
    - type: euclidean_accuracy
      value: 84.13899982118377
    - type: euclidean_ap
      value: 68.03331114508686
    - type: euclidean_f1
      value: 63.31192005710206
    - type: euclidean_precision
      value: 57.6473136915078
    - type: euclidean_recall
      value: 70.21108179419525
    - type: manhattan_accuracy
      value: 84.12111819753234
    - type: manhattan_ap
      value: 67.97378509663328
    - type: manhattan_f1
      value: 63.38468945594607
    - type: manhattan_precision
      value: 58.2779991146525
    - type: manhattan_recall
      value: 69.47229551451187
    - type: max_accuracy
      value: 84.13899982118377
    - type: max_ap
      value: 68.03331114508686
    - type: max_f1
      value: 63.38468945594607
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterURLCorpus
      type: mteb/twitterurlcorpus-pairclassification
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cos_sim_accuracy
      value: 87.68774013272791
    - type: cos_sim_ap
      value: 83.51733662214374
    - type: cos_sim_f1
      value: 75.82190771045259
    - type: cos_sim_precision
      value: 72.72341628959276
    - type: cos_sim_recall
      value: 79.19618109023713
    - type: dot_accuracy
      value: 87.68774013272791
    - type: dot_ap
      value: 83.5173527754126
    - type: dot_f1
      value: 75.82190771045259
    - type: dot_precision
      value: 72.72341628959276
    - type: dot_recall
      value: 79.19618109023713
    - type: euclidean_accuracy
      value: 87.68774013272791
    - type: euclidean_ap
      value: 83.51734651146224
    - type: euclidean_f1
      value: 75.82190771045259
    - type: euclidean_precision
      value: 72.72341628959276
    - type: euclidean_recall
      value: 79.19618109023713
    - type: manhattan_accuracy
      value: 87.67221640082276
    - type: manhattan_ap
      value: 83.51179463759505
    - type: manhattan_f1
      value: 75.76243980738361
    - type: manhattan_precision
      value: 71.99112590127565
    - type: manhattan_recall
      value: 79.95072374499537
    - type: max_accuracy
      value: 87.68774013272791
    - type: max_ap
      value: 83.5173527754126
    - type: max_f1
      value: 75.82190771045259
---
