metadata
tags:
- mteb
model-index:
- name: mpnet_main
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 68.11940298507461
- type: ap
value: 30.542146596139048
- type: f1
value: 61.92465989589396
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 62.503875
- type: ap
value: 58.0577571607728
- type: f1
value: 62.34928241469865
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 31.66999999999999
- type: f1
value: 31.2458385101798
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 23.329
- type: map_at_10
value: 37.384
- type: map_at_100
value: 38.57
- type: map_at_1000
value: 38.586999999999996
- type: map_at_3
value: 32.492
- type: map_at_5
value: 35.376000000000005
- type: mrr_at_1
value: 23.755000000000003
- type: mrr_at_10
value: 37.547000000000004
- type: mrr_at_100
value: 38.733000000000004
- type: mrr_at_1000
value: 38.749
- type: mrr_at_3
value: 32.658
- type: mrr_at_5
value: 35.567
- type: ndcg_at_1
value: 23.329
- type: ndcg_at_10
value: 45.574999999999996
- type: ndcg_at_100
value: 50.953
- type: ndcg_at_1000
value: 51.354
- type: ndcg_at_3
value: 35.608000000000004
- type: ndcg_at_5
value: 40.784
- type: precision_at_1
value: 23.329
- type: precision_at_10
value: 7.183000000000001
- type: precision_at_100
value: 0.962
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 14.889
- type: precision_at_5
value: 11.437
- type: recall_at_1
value: 23.329
- type: recall_at_10
value: 71.83500000000001
- type: recall_at_100
value: 96.15899999999999
- type: recall_at_1000
value: 99.21799999999999
- type: recall_at_3
value: 44.666
- type: recall_at_5
value: 57.18299999999999
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 37.14558539727219
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 27.2291028039137
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 55.286820678107716
- type: mrr
value: 69.43762916062084
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 81.32170750010246
- type: cos_sim_spearman
value: 78.48130632209363
- type: euclidean_pearson
value: 80.42696573048755
- type: euclidean_spearman
value: 78.48130632209363
- type: manhattan_pearson
value: 80.68662655318546
- type: manhattan_spearman
value: 78.4475706136436
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 73.05194805194805
- type: f1
value: 72.31114319146532
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 33.842006272885655
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 25.238443830234058
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 22.647000000000002
- type: map_at_10
value: 29.842999999999996
- type: map_at_100
value: 31.131999999999998
- type: map_at_1000
value: 31.289
- type: map_at_3
value: 27.534999999999997
- type: map_at_5
value: 28.782999999999998
- type: mrr_at_1
value: 28.183000000000003
- type: mrr_at_10
value: 35.225
- type: mrr_at_100
value: 36.128
- type: mrr_at_1000
value: 36.198
- type: mrr_at_3
value: 33.19
- type: mrr_at_5
value: 34.363
- type: ndcg_at_1
value: 28.183000000000003
- type: ndcg_at_10
value: 34.644000000000005
- type: ndcg_at_100
value: 40.194
- type: ndcg_at_1000
value: 43.289
- type: ndcg_at_3
value: 31.259999999999998
- type: ndcg_at_5
value: 32.707
- type: precision_at_1
value: 28.183000000000003
- type: precision_at_10
value: 6.666999999999999
- type: precision_at_100
value: 1.187
- type: precision_at_1000
value: 0.185
- type: precision_at_3
value: 14.974000000000002
- type: precision_at_5
value: 10.844
- type: recall_at_1
value: 22.647000000000002
- type: recall_at_10
value: 42.792
- type: recall_at_100
value: 67.399
- type: recall_at_1000
value: 88.646
- type: recall_at_3
value: 32.535
- type: recall_at_5
value: 36.748999999999995
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 15.895000000000001
- type: map_at_10
value: 21.631
- type: map_at_100
value: 22.56
- type: map_at_1000
value: 22.689
- type: map_at_3
value: 19.799
- type: map_at_5
value: 20.824
- type: mrr_at_1
value: 20.191
- type: mrr_at_10
value: 25.674999999999997
- type: mrr_at_100
value: 26.482
- type: mrr_at_1000
value: 26.558
- type: mrr_at_3
value: 23.854
- type: mrr_at_5
value: 24.85
- type: ndcg_at_1
value: 20.191
- type: ndcg_at_10
value: 25.428
- type: ndcg_at_100
value: 29.799999999999997
- type: ndcg_at_1000
value: 32.927
- type: ndcg_at_3
value: 22.284000000000002
- type: ndcg_at_5
value: 23.699
- type: precision_at_1
value: 20.191
- type: precision_at_10
value: 4.7829999999999995
- type: precision_at_100
value: 0.876
- type: precision_at_1000
value: 0.14200000000000002
- type: precision_at_3
value: 10.743
- type: precision_at_5
value: 7.720000000000001
- type: recall_at_1
value: 15.895000000000001
- type: recall_at_10
value: 32.789
- type: recall_at_100
value: 52.156000000000006
- type: recall_at_1000
value: 73.804
- type: recall_at_3
value: 23.589
- type: recall_at_5
value: 27.486
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 25.465
- type: map_at_10
value: 33.93
- type: map_at_100
value: 35.07
- type: map_at_1000
value: 35.165
- type: map_at_3
value: 31.091
- type: map_at_5
value: 32.722
- type: mrr_at_1
value: 29.654999999999998
- type: mrr_at_10
value: 37.156
- type: mrr_at_100
value: 38.074000000000005
- type: mrr_at_1000
value: 38.132
- type: mrr_at_3
value: 34.608
- type: mrr_at_5
value: 36.077999999999996
- type: ndcg_at_1
value: 29.654999999999998
- type: ndcg_at_10
value: 38.872
- type: ndcg_at_100
value: 44.293
- type: ndcg_at_1000
value: 46.455999999999996
- type: ndcg_at_3
value: 33.661
- type: ndcg_at_5
value: 36.237
- type: precision_at_1
value: 29.654999999999998
- type: precision_at_10
value: 6.464
- type: precision_at_100
value: 1.012
- type: precision_at_1000
value: 0.127
- type: precision_at_3
value: 14.943000000000001
- type: precision_at_5
value: 10.696
- type: recall_at_1
value: 25.465
- type: recall_at_10
value: 50.8
- type: recall_at_100
value: 75.373
- type: recall_at_1000
value: 91.053
- type: recall_at_3
value: 36.808
- type: recall_at_5
value: 43.069
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 12.853
- type: map_at_10
value: 18.047
- type: map_at_100
value: 18.9
- type: map_at_1000
value: 19.017999999999997
- type: map_at_3
value: 16.325
- type: map_at_5
value: 17.281
- type: mrr_at_1
value: 14.124
- type: mrr_at_10
value: 19.344
- type: mrr_at_100
value: 20.194000000000003
- type: mrr_at_1000
value: 20.298
- type: mrr_at_3
value: 17.589
- type: mrr_at_5
value: 18.601
- type: ndcg_at_1
value: 14.124
- type: ndcg_at_10
value: 21.188000000000002
- type: ndcg_at_100
value: 25.856
- type: ndcg_at_1000
value: 29.275000000000002
- type: ndcg_at_3
value: 17.726
- type: ndcg_at_5
value: 19.397000000000002
- type: precision_at_1
value: 14.124
- type: precision_at_10
value: 3.379
- type: precision_at_100
value: 0.61
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 7.608
- type: precision_at_5
value: 5.537
- type: recall_at_1
value: 12.853
- type: recall_at_10
value: 29.731999999999996
- type: recall_at_100
value: 51.99399999999999
- type: recall_at_1000
value: 78.581
- type: recall_at_3
value: 20.339
- type: recall_at_5
value: 24.304000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.736000000000001
- type: map_at_10
value: 10.587
- type: map_at_100
value: 11.515
- type: map_at_1000
value: 11.633000000000001
- type: map_at_3
value: 9.24
- type: map_at_5
value: 9.856
- type: mrr_at_1
value: 8.955
- type: mrr_at_10
value: 13.383999999999999
- type: mrr_at_100
value: 14.297
- type: mrr_at_1000
value: 14.391000000000002
- type: mrr_at_3
value: 11.92
- type: mrr_at_5
value: 12.584999999999999
- type: ndcg_at_1
value: 8.955
- type: ndcg_at_10
value: 13.498
- type: ndcg_at_100
value: 18.684
- type: ndcg_at_1000
value: 22.105
- type: ndcg_at_3
value: 10.881
- type: ndcg_at_5
value: 11.824
- type: precision_at_1
value: 8.955
- type: precision_at_10
value: 2.662
- type: precision_at_100
value: 0.633
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 5.473
- type: precision_at_5
value: 3.9800000000000004
- type: recall_at_1
value: 6.736000000000001
- type: recall_at_10
value: 19.945
- type: recall_at_100
value: 43.807
- type: recall_at_1000
value: 69.215
- type: recall_at_3
value: 12.458
- type: recall_at_5
value: 14.878
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 19.169
- type: map_at_10
value: 25.34
- type: map_at_100
value: 26.509
- type: map_at_1000
value: 26.663999999999998
- type: map_at_3
value: 22.964000000000002
- type: map_at_5
value: 24.229
- type: mrr_at_1
value: 23.483999999999998
- type: mrr_at_10
value: 29.872
- type: mrr_at_100
value: 30.775999999999996
- type: mrr_at_1000
value: 30.858
- type: mrr_at_3
value: 27.43
- type: mrr_at_5
value: 28.782000000000004
- type: ndcg_at_1
value: 23.483999999999998
- type: ndcg_at_10
value: 29.859
- type: ndcg_at_100
value: 35.498000000000005
- type: ndcg_at_1000
value: 38.875
- type: ndcg_at_3
value: 25.635
- type: ndcg_at_5
value: 27.522000000000002
- type: precision_at_1
value: 23.483999999999998
- type: precision_at_10
value: 5.573
- type: precision_at_100
value: 1.002
- type: precision_at_1000
value: 0.15
- type: precision_at_3
value: 11.902
- type: precision_at_5
value: 8.72
- type: recall_at_1
value: 19.169
- type: recall_at_10
value: 38.991
- type: recall_at_100
value: 64.13600000000001
- type: recall_at_1000
value: 87.45
- type: recall_at_3
value: 27.053
- type: recall_at_5
value: 31.996999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 13.791999999999998
- type: map_at_10
value: 19.362
- type: map_at_100
value: 20.51
- type: map_at_1000
value: 20.663999999999998
- type: map_at_3
value: 17.408
- type: map_at_5
value: 18.373
- type: mrr_at_1
value: 17.122999999999998
- type: mrr_at_10
value: 22.939
- type: mrr_at_100
value: 23.913999999999998
- type: mrr_at_1000
value: 24.016000000000002
- type: mrr_at_3
value: 20.871000000000002
- type: mrr_at_5
value: 22.019
- type: ndcg_at_1
value: 17.122999999999998
- type: ndcg_at_10
value: 23.219
- type: ndcg_at_100
value: 28.610999999999997
- type: ndcg_at_1000
value: 32.361000000000004
- type: ndcg_at_3
value: 19.657
- type: ndcg_at_5
value: 21.153
- type: precision_at_1
value: 17.122999999999998
- type: precision_at_10
value: 4.3950000000000005
- type: precision_at_100
value: 0.852
- type: precision_at_1000
value: 0.136
- type: precision_at_3
value: 9.399000000000001
- type: precision_at_5
value: 6.963
- type: recall_at_1
value: 13.791999999999998
- type: recall_at_10
value: 31.407
- type: recall_at_100
value: 54.69199999999999
- type: recall_at_1000
value: 81.281
- type: recall_at_3
value: 21.253
- type: recall_at_5
value: 25.22
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 14.433916666666665
- type: map_at_10
value: 19.892166666666668
- type: map_at_100
value: 20.87308333333333
- type: map_at_1000
value: 21.008416666666665
- type: map_at_3
value: 18.058666666666667
- type: map_at_5
value: 19.015583333333336
- type: mrr_at_1
value: 17.51
- type: mrr_at_10
value: 23.03275
- type: mrr_at_100
value: 23.89025
- type: mrr_at_1000
value: 23.980333333333334
- type: mrr_at_3
value: 21.20616666666667
- type: mrr_at_5
value: 22.195833333333333
- type: ndcg_at_1
value: 17.51
- type: ndcg_at_10
value: 23.55825
- type: ndcg_at_100
value: 28.414249999999996
- type: ndcg_at_1000
value: 31.749083333333328
- type: ndcg_at_3
value: 20.22475
- type: ndcg_at_5
value: 21.668916666666664
- type: precision_at_1
value: 17.51
- type: precision_at_10
value: 4.271333333333334
- type: precision_at_100
value: 0.8016666666666666
- type: precision_at_1000
value: 0.12825
- type: precision_at_3
value: 9.423833333333336
- type: precision_at_5
value: 6.818833333333334
- type: recall_at_1
value: 14.433916666666665
- type: recall_at_10
value: 31.521166666666662
- type: recall_at_100
value: 53.71125
- type: recall_at_1000
value: 77.92325000000001
- type: recall_at_3
value: 22.02575
- type: recall_at_5
value: 25.789916666666663
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 11.074
- type: map_at_10
value: 15.728
- type: map_at_100
value: 16.442999999999998
- type: map_at_1000
value: 16.536
- type: map_at_3
value: 14.082
- type: map_at_5
value: 14.808
- type: mrr_at_1
value: 12.883
- type: mrr_at_10
value: 17.687
- type: mrr_at_100
value: 18.436
- type: mrr_at_1000
value: 18.515
- type: mrr_at_3
value: 16.181
- type: mrr_at_5
value: 16.84
- type: ndcg_at_1
value: 12.883
- type: ndcg_at_10
value: 18.778
- type: ndcg_at_100
value: 22.817999999999998
- type: ndcg_at_1000
value: 25.657999999999998
- type: ndcg_at_3
value: 15.606
- type: ndcg_at_5
value: 16.727
- type: precision_at_1
value: 12.883
- type: precision_at_10
value: 3.2520000000000002
- type: precision_at_100
value: 0.5780000000000001
- type: precision_at_1000
value: 0.089
- type: precision_at_3
value: 7.156999999999999
- type: precision_at_5
value: 5.061
- type: recall_at_1
value: 11.074
- type: recall_at_10
value: 26.479999999999997
- type: recall_at_100
value: 45.61
- type: recall_at_1000
value: 67.586
- type: recall_at_3
value: 17.377000000000002
- type: recall_at_5
value: 20.238
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.303999999999999
- type: map_at_10
value: 10.779
- type: map_at_100
value: 11.484
- type: map_at_1000
value: 11.616
- type: map_at_3
value: 9.62
- type: map_at_5
value: 10.263
- type: mrr_at_1
value: 9.394
- type: mrr_at_10
value: 13.22
- type: mrr_at_100
value: 13.924
- type: mrr_at_1000
value: 14.032
- type: mrr_at_3
value: 11.912
- type: mrr_at_5
value: 12.671
- type: ndcg_at_1
value: 9.394
- type: ndcg_at_10
value: 13.276
- type: ndcg_at_100
value: 17.118
- type: ndcg_at_1000
value: 20.878
- type: ndcg_at_3
value: 11.084
- type: ndcg_at_5
value: 12.113999999999999
- type: precision_at_1
value: 9.394
- type: precision_at_10
value: 2.533
- type: precision_at_100
value: 0.538
- type: precision_at_1000
value: 0.10300000000000001
- type: precision_at_3
value: 5.391
- type: precision_at_5
value: 4.0329999999999995
- type: recall_at_1
value: 7.303999999999999
- type: recall_at_10
value: 18.523999999999997
- type: recall_at_100
value: 36.452
- type: recall_at_1000
value: 64.38199999999999
- type: recall_at_3
value: 12.366000000000001
- type: recall_at_5
value: 14.994
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 12.963
- type: map_at_10
value: 17.46
- type: map_at_100
value: 18.297
- type: map_at_1000
value: 18.428
- type: map_at_3
value: 15.709999999999999
- type: map_at_5
value: 16.551
- type: mrr_at_1
value: 15.485
- type: mrr_at_10
value: 20.501
- type: mrr_at_100
value: 21.278
- type: mrr_at_1000
value: 21.379
- type: mrr_at_3
value: 18.548000000000002
- type: mrr_at_5
value: 19.537
- type: ndcg_at_1
value: 15.485
- type: ndcg_at_10
value: 20.994
- type: ndcg_at_100
value: 25.506
- type: ndcg_at_1000
value: 29.022
- type: ndcg_at_3
value: 17.410999999999998
- type: ndcg_at_5
value: 18.808
- type: precision_at_1
value: 15.485
- type: precision_at_10
value: 3.666
- type: precision_at_100
value: 0.662
- type: precision_at_1000
value: 0.109
- type: precision_at_3
value: 7.898
- type: precision_at_5
value: 5.672
- type: recall_at_1
value: 12.963
- type: recall_at_10
value: 29.201
- type: recall_at_100
value: 50.109
- type: recall_at_1000
value: 75.797
- type: recall_at_3
value: 18.989
- type: recall_at_5
value: 22.601
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 15.260000000000002
- type: map_at_10
value: 21.165
- type: map_at_100
value: 22.400000000000002
- type: map_at_1000
value: 22.612
- type: map_at_3
value: 19.427
- type: map_at_5
value: 20.312
- type: mrr_at_1
value: 19.368
- type: mrr_at_10
value: 25.148
- type: mrr_at_100
value: 26.143
- type: mrr_at_1000
value: 26.235000000000003
- type: mrr_at_3
value: 23.584
- type: mrr_at_5
value: 24.433
- type: ndcg_at_1
value: 19.368
- type: ndcg_at_10
value: 25.239
- type: ndcg_at_100
value: 30.509999999999998
- type: ndcg_at_1000
value: 34.326
- type: ndcg_at_3
value: 22.57
- type: ndcg_at_5
value: 23.668
- type: precision_at_1
value: 19.368
- type: precision_at_10
value: 4.9799999999999995
- type: precision_at_100
value: 1.117
- type: precision_at_1000
value: 0.201
- type: precision_at_3
value: 11.067
- type: precision_at_5
value: 7.904999999999999
- type: recall_at_1
value: 15.260000000000002
- type: recall_at_10
value: 32.368
- type: recall_at_100
value: 56.908
- type: recall_at_1000
value: 82.708
- type: recall_at_3
value: 23.816000000000003
- type: recall_at_5
value: 27.191
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 10.049
- type: map_at_10
value: 14.834
- type: map_at_100
value: 15.656999999999998
- type: map_at_1000
value: 15.787
- type: map_at_3
value: 13.503000000000002
- type: map_at_5
value: 14.185
- type: mrr_at_1
value: 11.275
- type: mrr_at_10
value: 16.242
- type: mrr_at_100
value: 17.037
- type: mrr_at_1000
value: 17.152
- type: mrr_at_3
value: 14.787
- type: mrr_at_5
value: 15.591
- type: ndcg_at_1
value: 11.275
- type: ndcg_at_10
value: 17.704
- type: ndcg_at_100
value: 22.083
- type: ndcg_at_1000
value: 25.817
- type: ndcg_at_3
value: 14.921999999999999
- type: ndcg_at_5
value: 16.171
- type: precision_at_1
value: 11.275
- type: precision_at_10
value: 2.902
- type: precision_at_100
value: 0.553
- type: precision_at_1000
value: 0.096
- type: precision_at_3
value: 6.531000000000001
- type: precision_at_5
value: 4.695
- type: recall_at_1
value: 10.049
- type: recall_at_10
value: 25.224999999999998
- type: recall_at_100
value: 45.899
- type: recall_at_1000
value: 74.576
- type: recall_at_3
value: 17.726
- type: recall_at_5
value: 20.752000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.762
- type: map_at_10
value: 12.867
- type: map_at_100
value: 14.478
- type: map_at_1000
value: 14.696000000000002
- type: map_at_3
value: 10.437000000000001
- type: map_at_5
value: 11.689
- type: mrr_at_1
value: 15.309000000000001
- type: mrr_at_10
value: 25.839000000000002
- type: mrr_at_100
value: 26.994
- type: mrr_at_1000
value: 27.056
- type: mrr_at_3
value: 22.400000000000002
- type: mrr_at_5
value: 24.451999999999998
- type: ndcg_at_1
value: 15.309000000000001
- type: ndcg_at_10
value: 19.384999999999998
- type: ndcg_at_100
value: 26.517000000000003
- type: ndcg_at_1000
value: 30.676
- type: ndcg_at_3
value: 14.876000000000001
- type: ndcg_at_5
value: 16.611
- type: precision_at_1
value: 15.309000000000001
- type: precision_at_10
value: 6.489000000000001
- type: precision_at_100
value: 1.409
- type: precision_at_1000
value: 0.217
- type: precision_at_3
value: 11.530999999999999
- type: precision_at_5
value: 9.381
- type: recall_at_1
value: 6.762
- type: recall_at_10
value: 24.996
- type: recall_at_100
value: 50.202999999999996
- type: recall_at_1000
value: 73.87899999999999
- type: recall_at_3
value: 14.149000000000001
- type: recall_at_5
value: 18.648
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 3.846
- type: map_at_10
value: 9.048
- type: map_at_100
value: 12.656
- type: map_at_1000
value: 13.605999999999998
- type: map_at_3
value: 6.293
- type: map_at_5
value: 7.5920000000000005
- type: mrr_at_1
value: 41.5
- type: mrr_at_10
value: 51.08200000000001
- type: mrr_at_100
value: 51.82299999999999
- type: mrr_at_1000
value: 51.856
- type: mrr_at_3
value: 48.5
- type: mrr_at_5
value: 49.836999999999996
- type: ndcg_at_1
value: 30.375000000000004
- type: ndcg_at_10
value: 23.343
- type: ndcg_at_100
value: 26.261000000000003
- type: ndcg_at_1000
value: 33.053
- type: ndcg_at_3
value: 25.814999999999998
- type: ndcg_at_5
value: 24.583
- type: precision_at_1
value: 41.5
- type: precision_at_10
value: 20.849999999999998
- type: precision_at_100
value: 6.635000000000001
- type: precision_at_1000
value: 1.438
- type: precision_at_3
value: 30.833
- type: precision_at_5
value: 26.85
- type: recall_at_1
value: 3.846
- type: recall_at_10
value: 13.83
- type: recall_at_100
value: 32.757999999999996
- type: recall_at_1000
value: 56.25
- type: recall_at_3
value: 7.574
- type: recall_at_5
value: 10.071
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 46.62
- type: f1
value: 42.79767018915584
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 15.677
- type: map_at_10
value: 23.551
- type: map_at_100
value: 24.442
- type: map_at_1000
value: 24.514
- type: map_at_3
value: 21.192
- type: map_at_5
value: 22.499
- type: mrr_at_1
value: 16.742
- type: mrr_at_10
value: 25.019000000000002
- type: mrr_at_100
value: 25.894000000000002
- type: mrr_at_1000
value: 25.958
- type: mrr_at_3
value: 22.555
- type: mrr_at_5
value: 23.909
- type: ndcg_at_1
value: 16.742
- type: ndcg_at_10
value: 28.247
- type: ndcg_at_100
value: 32.797
- type: ndcg_at_1000
value: 34.809
- type: ndcg_at_3
value: 23.358999999999998
- type: ndcg_at_5
value: 25.705
- type: precision_at_1
value: 16.742
- type: precision_at_10
value: 4.532
- type: precision_at_100
value: 0.701
- type: precision_at_1000
value: 0.089
- type: precision_at_3
value: 10.145999999999999
- type: precision_at_5
value: 7.342
- type: recall_at_1
value: 15.677
- type: recall_at_10
value: 41.571000000000005
- type: recall_at_100
value: 62.834999999999994
- type: recall_at_1000
value: 78.387
- type: recall_at_3
value: 28.214
- type: recall_at_5
value: 33.891
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 7.5520000000000005
- type: map_at_10
value: 12.378
- type: map_at_100
value: 13.572999999999999
- type: map_at_1000
value: 13.79
- type: map_at_3
value: 10.737
- type: map_at_5
value: 11.629000000000001
- type: mrr_at_1
value: 15.123000000000001
- type: mrr_at_10
value: 21.001
- type: mrr_at_100
value: 22.112000000000002
- type: mrr_at_1000
value: 22.21
- type: mrr_at_3
value: 19.264
- type: mrr_at_5
value: 20.166999999999998
- type: ndcg_at_1
value: 15.123000000000001
- type: ndcg_at_10
value: 16.699
- type: ndcg_at_100
value: 22.688
- type: ndcg_at_1000
value: 27.394000000000002
- type: ndcg_at_3
value: 14.516000000000002
- type: ndcg_at_5
value: 15.336
- type: precision_at_1
value: 15.123000000000001
- type: precision_at_10
value: 4.7219999999999995
- type: precision_at_100
value: 1.065
- type: precision_at_1000
value: 0.188
- type: precision_at_3
value: 9.825000000000001
- type: precision_at_5
value: 7.284
- type: recall_at_1
value: 7.5520000000000005
- type: recall_at_10
value: 20.887
- type: recall_at_100
value: 44.613
- type: recall_at_1000
value: 73.55699999999999
- type: recall_at_3
value: 13.715
- type: recall_at_5
value: 16.75
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 15.314
- type: map_at_10
value: 21.73
- type: map_at_100
value: 22.595000000000002
- type: map_at_1000
value: 22.7
- type: map_at_3
value: 19.914
- type: map_at_5
value: 20.891000000000002
- type: mrr_at_1
value: 30.628
- type: mrr_at_10
value: 37.302
- type: mrr_at_100
value: 38.04
- type: mrr_at_1000
value: 38.102999999999994
- type: mrr_at_3
value: 35.445
- type: mrr_at_5
value: 36.464999999999996
- type: ndcg_at_1
value: 30.628
- type: ndcg_at_10
value: 27.986
- type: ndcg_at_100
value: 32.103
- type: ndcg_at_1000
value: 34.739
- type: ndcg_at_3
value: 24.48
- type: ndcg_at_5
value: 26.125
- type: precision_at_1
value: 30.628
- type: precision_at_10
value: 6.243
- type: precision_at_100
value: 0.955
- type: precision_at_1000
value: 0.131
- type: precision_at_3
value: 15.517
- type: precision_at_5
value: 10.613999999999999
- type: recall_at_1
value: 15.314
- type: recall_at_10
value: 31.215
- type: recall_at_100
value: 47.752
- type: recall_at_1000
value: 65.422
- type: recall_at_3
value: 23.275000000000002
- type: recall_at_5
value: 26.535999999999998
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 61.661200000000015
- type: ap
value: 57.26137842361126
- type: f1
value: 61.44069729315865
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.308999999999999
- type: map_at_10
value: 11.003
- type: map_at_100
value: 11.865
- type: map_at_1000
value: 11.974
- type: map_at_3
value: 9.309000000000001
- type: map_at_5
value: 10.145999999999999
- type: mrr_at_1
value: 6.5329999999999995
- type: mrr_at_10
value: 11.296000000000001
- type: mrr_at_100
value: 12.168
- type: mrr_at_1000
value: 12.273
- type: mrr_at_3
value: 9.582
- type: mrr_at_5
value: 10.42
- type: ndcg_at_1
value: 6.519
- type: ndcg_at_10
value: 13.998
- type: ndcg_at_100
value: 18.701
- type: ndcg_at_1000
value: 21.944
- type: ndcg_at_3
value: 10.383000000000001
- type: ndcg_at_5
value: 11.898
- type: precision_at_1
value: 6.519
- type: precision_at_10
value: 2.4330000000000003
- type: precision_at_100
value: 0.486
- type: precision_at_1000
value: 0.077
- type: precision_at_3
value: 4.585
- type: precision_at_5
value: 3.5130000000000003
- type: recall_at_1
value: 6.308999999999999
- type: recall_at_10
value: 23.381
- type: recall_at_100
value: 46.25
- type: recall_at_1000
value: 72.261
- type: recall_at_3
value: 13.239
- type: recall_at_5
value: 16.902
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 87.84313725490198
- type: f1
value: 87.24204022782286
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 56.409028727770185
- type: f1
value: 38.57449573016968
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 62.010759919300604
- type: f1
value: 60.290520300650584
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 70.65232010759918
- type: f1
value: 69.36104886302014
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 30.364401278066065
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 28.00495863318603
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.917670435424853
- type: mrr
value: 31.929615376181395
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.279
- type: map_at_10
value: 8.491999999999999
- type: map_at_100
value: 10.969
- type: map_at_1000
value: 12.396
- type: map_at_3
value: 6.254999999999999
- type: map_at_5
value: 7.417
- type: mrr_at_1
value: 34.056
- type: mrr_at_10
value: 43.877
- type: mrr_at_100
value: 44.590999999999994
- type: mrr_at_1000
value: 44.651
- type: mrr_at_3
value: 41.382999999999996
- type: mrr_at_5
value: 42.838
- type: ndcg_at_1
value: 32.198
- type: ndcg_at_10
value: 25.971
- type: ndcg_at_100
value: 25.112000000000002
- type: ndcg_at_1000
value: 34.83
- type: ndcg_at_3
value: 29.018
- type: ndcg_at_5
value: 28.447
- type: precision_at_1
value: 34.056
- type: precision_at_10
value: 19.412
- type: precision_at_100
value: 7.053
- type: precision_at_1000
value: 2.061
- type: precision_at_3
value: 27.761000000000003
- type: precision_at_5
value: 25.076999999999998
- type: recall_at_1
value: 4.279
- type: recall_at_10
value: 12.917000000000002
- type: recall_at_100
value: 27.386
- type: recall_at_1000
value: 62.90599999999999
- type: recall_at_3
value: 7.234999999999999
- type: recall_at_5
value: 9.866
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 8.427
- type: map_at_10
value: 14.471
- type: map_at_100
value: 15.704
- type: map_at_1000
value: 15.809000000000001
- type: map_at_3
value: 12.059000000000001
- type: map_at_5
value: 13.288
- type: mrr_at_1
value: 9.647
- type: mrr_at_10
value: 16.064999999999998
- type: mrr_at_100
value: 17.212
- type: mrr_at_1000
value: 17.297
- type: mrr_at_3
value: 13.562
- type: mrr_at_5
value: 14.843
- type: ndcg_at_1
value: 9.647
- type: ndcg_at_10
value: 18.613
- type: ndcg_at_100
value: 24.834999999999997
- type: ndcg_at_1000
value: 27.716
- type: ndcg_at_3
value: 13.605
- type: ndcg_at_5
value: 15.797
- type: precision_at_1
value: 9.647
- type: precision_at_10
value: 3.531
- type: precision_at_100
value: 0.7060000000000001
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 6.431000000000001
- type: precision_at_5
value: 5.093
- type: recall_at_1
value: 8.427
- type: recall_at_10
value: 29.995
- type: recall_at_100
value: 58.760999999999996
- type: recall_at_1000
value: 81.033
- type: recall_at_3
value: 16.621
- type: recall_at_5
value: 21.69
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 63.709
- type: map_at_10
value: 76.66
- type: map_at_100
value: 77.444
- type: map_at_1000
value: 77.474
- type: map_at_3
value: 73.639
- type: map_at_5
value: 75.495
- type: mrr_at_1
value: 73.42
- type: mrr_at_10
value: 80.643
- type: mrr_at_100
value: 80.886
- type: mrr_at_1000
value: 80.891
- type: mrr_at_3
value: 79.163
- type: mrr_at_5
value: 80.132
- type: ndcg_at_1
value: 73.44000000000001
- type: ndcg_at_10
value: 81.26100000000001
- type: ndcg_at_100
value: 83.34
- type: ndcg_at_1000
value: 83.65599999999999
- type: ndcg_at_3
value: 77.593
- type: ndcg_at_5
value: 79.552
- type: precision_at_1
value: 73.44000000000001
- type: precision_at_10
value: 12.356
- type: precision_at_100
value: 1.472
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 33.733000000000004
- type: precision_at_5
value: 22.398
- type: recall_at_1
value: 63.709
- type: recall_at_10
value: 90.24
- type: recall_at_100
value: 97.992
- type: recall_at_1000
value: 99.725
- type: recall_at_3
value: 79.843
- type: recall_at_5
value: 85.199
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 42.214155529412366
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 48.10171269080449
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.098
- type: map_at_10
value: 7.359999999999999
- type: map_at_100
value: 8.888
- type: map_at_1000
value: 9.158
- type: map_at_3
value: 5.406
- type: map_at_5
value: 6.308999999999999
- type: mrr_at_1
value: 15.2
- type: mrr_at_10
value: 23.508000000000003
- type: mrr_at_100
value: 24.709
- type: mrr_at_1000
value: 24.787
- type: mrr_at_3
value: 20.383000000000003
- type: mrr_at_5
value: 22.103
- type: ndcg_at_1
value: 15.2
- type: ndcg_at_10
value: 13.174
- type: ndcg_at_100
value: 19.885
- type: ndcg_at_1000
value: 25.247999999999998
- type: ndcg_at_3
value: 12.242
- type: ndcg_at_5
value: 10.702
- type: precision_at_1
value: 15.2
- type: precision_at_10
value: 6.93
- type: precision_at_100
value: 1.6709999999999998
- type: precision_at_1000
value: 0.296
- type: precision_at_3
value: 11.4
- type: precision_at_5
value: 9.379999999999999
- type: recall_at_1
value: 3.098
- type: recall_at_10
value: 14.048
- type: recall_at_100
value: 33.902
- type: recall_at_1000
value: 60.17
- type: recall_at_3
value: 6.9430000000000005
- type: recall_at_5
value: 9.498
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.69196724733715
- type: cos_sim_spearman
value: 65.00669029968084
- type: euclidean_pearson
value: 71.35623218354901
- type: euclidean_spearman
value: 65.00662504036774
- type: manhattan_pearson
value: 69.46286814034032
- type: manhattan_spearman
value: 64.05091703970768
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 75.45675254280496
- type: cos_sim_spearman
value: 67.48465522195806
- type: euclidean_pearson
value: 71.932572180082
- type: euclidean_spearman
value: 67.48597260989263
- type: manhattan_pearson
value: 70.01381315407934
- type: manhattan_spearman
value: 66.83129276722313
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 75.56784955823615
- type: cos_sim_spearman
value: 77.1656947836492
- type: euclidean_pearson
value: 76.86159714478943
- type: euclidean_spearman
value: 77.16570697849755
- type: manhattan_pearson
value: 77.05983226779968
- type: manhattan_spearman
value: 77.43229771628044
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 77.28801641888653
- type: cos_sim_spearman
value: 72.72947194978411
- type: euclidean_pearson
value: 76.2115552769551
- type: euclidean_spearman
value: 72.72946226092458
- type: manhattan_pearson
value: 75.19019262864614
- type: manhattan_spearman
value: 72.18378967267259
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 79.73471725204746
- type: cos_sim_spearman
value: 80.79015625826382
- type: euclidean_pearson
value: 80.81110611872813
- type: euclidean_spearman
value: 80.79016252191039
- type: manhattan_pearson
value: 79.93979968573043
- type: manhattan_spearman
value: 80.07556394648903
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 74.47923638473124
- type: cos_sim_spearman
value: 75.71286196807024
- type: euclidean_pearson
value: 75.83804880943377
- type: euclidean_spearman
value: 75.71341236422742
- type: manhattan_pearson
value: 75.93646913049322
- type: manhattan_spearman
value: 75.85181752457555
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 82.62219071209913
- type: cos_sim_spearman
value: 83.44167690000958
- type: euclidean_pearson
value: 83.28214784087085
- type: euclidean_spearman
value: 83.44255138870209
- type: manhattan_pearson
value: 82.77261607066816
- type: manhattan_spearman
value: 83.06899474864443
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 64.70345108985259
- type: cos_sim_spearman
value: 62.482753044620786
- type: euclidean_pearson
value: 64.79437494489187
- type: euclidean_spearman
value: 62.482753044620786
- type: manhattan_pearson
value: 63.71939825347573
- type: manhattan_spearman
value: 61.174953862000336
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 76.07865440954043
- type: cos_sim_spearman
value: 74.54667758834077
- type: euclidean_pearson
value: 76.48558570428264
- type: euclidean_spearman
value: 74.54672598094477
- type: manhattan_pearson
value: 76.06256712227383
- type: manhattan_spearman
value: 74.42758128821515
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 75.15143418949978
- type: mrr
value: 91.98409705762647
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 33.417
- type: map_at_10
value: 42.594
- type: map_at_100
value: 43.535000000000004
- type: map_at_1000
value: 43.6
- type: map_at_3
value: 39.759
- type: map_at_5
value: 41.506
- type: mrr_at_1
value: 35.667
- type: mrr_at_10
value: 44.446000000000005
- type: mrr_at_100
value: 45.244
- type: mrr_at_1000
value: 45.300000000000004
- type: mrr_at_3
value: 42.167
- type: mrr_at_5
value: 43.5
- type: ndcg_at_1
value: 35.667
- type: ndcg_at_10
value: 47.591
- type: ndcg_at_100
value: 52.611
- type: ndcg_at_1000
value: 54.31
- type: ndcg_at_3
value: 42.356
- type: ndcg_at_5
value: 45.194
- type: precision_at_1
value: 35.667
- type: precision_at_10
value: 6.7669999999999995
- type: precision_at_100
value: 0.967
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 16.889000000000003
- type: precision_at_5
value: 11.799999999999999
- type: recall_at_1
value: 33.417
- type: recall_at_10
value: 61.260999999999996
- type: recall_at_100
value: 85.556
- type: recall_at_1000
value: 98.867
- type: recall_at_3
value: 47.528
- type: recall_at_5
value: 54.388999999999996
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.73267326732673
- type: cos_sim_ap
value: 92.36951341438333
- type: cos_sim_f1
value: 86.04073522106309
- type: cos_sim_precision
value: 85.48864758144127
- type: cos_sim_recall
value: 86.6
- type: dot_accuracy
value: 99.73267326732673
- type: dot_ap
value: 92.36951341438333
- type: dot_f1
value: 86.04073522106309
- type: dot_precision
value: 85.48864758144127
- type: dot_recall
value: 86.6
- type: euclidean_accuracy
value: 99.73267326732673
- type: euclidean_ap
value: 92.36951341438333
- type: euclidean_f1
value: 86.04073522106309
- type: euclidean_precision
value: 85.48864758144127
- type: euclidean_recall
value: 86.6
- type: manhattan_accuracy
value: 99.74455445544554
- type: manhattan_ap
value: 92.96894184904977
- type: manhattan_f1
value: 86.8917576961271
- type: manhattan_precision
value: 86.29191321499013
- type: manhattan_recall
value: 87.5
- type: max_accuracy
value: 99.74455445544554
- type: max_ap
value: 92.96894184904977
- type: max_f1
value: 86.8917576961271
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 45.349940718460374
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 31.266631844140036
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 42.02550203348626
- type: mrr
value: 42.442651302945414
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.22842420698354
- type: cos_sim_spearman
value: 30.568909812744543
- type: dot_pearson
value: 30.228424144316747
- type: dot_spearman
value: 30.619692862283827
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.125
- type: map_at_10
value: 0.86
- type: map_at_100
value: 4.665
- type: map_at_1000
value: 11.877
- type: map_at_3
value: 0.299
- type: map_at_5
value: 0.47200000000000003
- type: mrr_at_1
value: 50
- type: mrr_at_10
value: 64.711
- type: mrr_at_100
value: 65.065
- type: mrr_at_1000
value: 65.065
- type: mrr_at_3
value: 62
- type: mrr_at_5
value: 62.9
- type: ndcg_at_1
value: 43
- type: ndcg_at_10
value: 43.147999999999996
- type: ndcg_at_100
value: 33.417
- type: ndcg_at_1000
value: 31.341
- type: ndcg_at_3
value: 43.653999999999996
- type: ndcg_at_5
value: 43.21
- type: precision_at_1
value: 50
- type: precision_at_10
value: 48.199999999999996
- type: precision_at_100
value: 35.46
- type: precision_at_1000
value: 15.342
- type: precision_at_3
value: 48
- type: precision_at_5
value: 47.599999999999994
- type: recall_at_1
value: 0.125
- type: recall_at_10
value: 1.145
- type: recall_at_100
value: 7.727
- type: recall_at_1000
value: 30.742000000000004
- type: recall_at_3
value: 0.356
- type: recall_at_5
value: 0.5780000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.585
- type: map_at_10
value: 7.398000000000001
- type: map_at_100
value: 13.603000000000002
- type: map_at_1000
value: 15.267
- type: map_at_3
value: 3.857
- type: map_at_5
value: 5.509
- type: mrr_at_1
value: 24.490000000000002
- type: mrr_at_10
value: 39.883
- type: mrr_at_100
value: 41.082
- type: mrr_at_1000
value: 41.082
- type: mrr_at_3
value: 35.034
- type: mrr_at_5
value: 37.483
- type: ndcg_at_1
value: 23.469
- type: ndcg_at_10
value: 21.221999999999998
- type: ndcg_at_100
value: 34.851
- type: ndcg_at_1000
value: 46.26
- type: ndcg_at_3
value: 21.906
- type: ndcg_at_5
value: 21.229
- type: precision_at_1
value: 24.490000000000002
- type: precision_at_10
value: 19.796
- type: precision_at_100
value: 8.122
- type: precision_at_1000
value: 1.541
- type: precision_at_3
value: 23.810000000000002
- type: precision_at_5
value: 22.041
- type: recall_at_1
value: 1.585
- type: recall_at_10
value: 13.664000000000001
- type: recall_at_100
value: 49.559
- type: recall_at_1000
value: 83.978
- type: recall_at_3
value: 5.088
- type: recall_at_5
value: 8.203000000000001
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 71.68520000000001
- type: ap
value: 14.622321024533974
- type: f1
value: 55.1924859473184
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 53.34748160724392
- type: f1
value: 53.518629300332755
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 40.22582442073446
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.46408773916671
- type: cos_sim_ap
value: 60.57612839124909
- type: cos_sim_f1
value: 58.366606170598914
- type: cos_sim_precision
value: 53.899441340782126
- type: cos_sim_recall
value: 63.641160949868066
- type: dot_accuracy
value: 82.46408773916671
- type: dot_ap
value: 60.57612839124909
- type: dot_f1
value: 58.366606170598914
- type: dot_precision
value: 53.899441340782126
- type: dot_recall
value: 63.641160949868066
- type: euclidean_accuracy
value: 82.46408773916671
- type: euclidean_ap
value: 60.57612839124909
- type: euclidean_f1
value: 58.366606170598914
- type: euclidean_precision
value: 53.899441340782126
- type: euclidean_recall
value: 63.641160949868066
- type: manhattan_accuracy
value: 81.68921738093819
- type: manhattan_ap
value: 58.62502289564927
- type: manhattan_f1
value: 57.40318906605921
- type: manhattan_precision
value: 50.50100200400801
- type: manhattan_recall
value: 66.49076517150397
- type: max_accuracy
value: 82.46408773916671
- type: max_ap
value: 60.57612839124909
- type: max_f1
value: 58.366606170598914
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 86.89602980556526
- type: cos_sim_ap
value: 81.92992391915341
- type: cos_sim_f1
value: 74.31139877741819
- type: cos_sim_precision
value: 69.71393873971124
- type: cos_sim_recall
value: 79.55805358792732
- type: dot_accuracy
value: 86.89602980556526
- type: dot_ap
value: 81.92992407440505
- type: dot_f1
value: 74.31139877741819
- type: dot_precision
value: 69.71393873971124
- type: dot_recall
value: 79.55805358792732
- type: euclidean_accuracy
value: 86.89602980556526
- type: euclidean_ap
value: 81.92992329073074
- type: euclidean_f1
value: 74.31139877741819
- type: euclidean_precision
value: 69.71393873971124
- type: euclidean_recall
value: 79.55805358792732
- type: manhattan_accuracy
value: 86.94454146776886
- type: manhattan_ap
value: 81.96535237136042
- type: manhattan_f1
value: 74.41181834761991
- type: manhattan_precision
value: 70.70076939072572
- type: manhattan_recall
value: 78.53403141361257
- type: max_accuracy
value: 86.94454146776886
- type: max_ap
value: 81.96535237136042
- type: max_f1
value: 74.41181834761991