metadata
tags:
- mteb
model-index:
- name: sup-simcse
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 75.3134328358209
- type: ap
value: 38.04095408812765
- type: f1
value: 69.18544755163924
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 62.44112500000001
- type: ap
value: 57.817235716985074
- type: f1
value: 62.37720459608907
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 32.09000000000001
- type: f1
value: 31.64639321293789
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 17.994
- type: map_at_10
value: 31.223
- type: map_at_100
value: 32.557
- type: map_at_1000
value: 32.589
- type: map_at_3
value: 26.919999999999998
- type: map_at_5
value: 29.25
- type: mrr_at_1
value: 18.492
- type: mrr_at_10
value: 31.413000000000004
- type: mrr_at_100
value: 32.747
- type: mrr_at_1000
value: 32.779
- type: mrr_at_3
value: 27.073999999999998
- type: mrr_at_5
value: 29.429
- type: ndcg_at_1
value: 17.994
- type: ndcg_at_10
value: 38.903999999999996
- type: ndcg_at_100
value: 45.172000000000004
- type: ndcg_at_1000
value: 45.989000000000004
- type: ndcg_at_3
value: 29.969
- type: ndcg_at_5
value: 34.147
- type: precision_at_1
value: 17.994
- type: precision_at_10
value: 6.358
- type: precision_at_100
value: 0.924
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 12.945
- type: precision_at_5
value: 9.786999999999999
- type: recall_at_1
value: 17.994
- type: recall_at_10
value: 63.585
- type: recall_at_100
value: 92.39
- type: recall_at_1000
value: 98.72
- type: recall_at_3
value: 38.834
- type: recall_at_5
value: 48.933
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 31.91520053343146
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 23.737264050164082
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 51.46910611293683
- type: mrr
value: 65.14081255771006
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 74.4730319095045
- type: cos_sim_spearman
value: 73.39685311998065
- type: euclidean_pearson
value: 73.54538639388942
- type: euclidean_spearman
value: 73.39685311998065
- type: manhattan_pearson
value: 75.5608385430094
- type: manhattan_spearman
value: 76.07643224829802
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 67.97402597402598
- type: f1
value: 66.9475406749266
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 29.885798705312226
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 21.675278900147095
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 18.625
- type: map_at_10
value: 25.241999999999997
- type: map_at_100
value: 26.105
- type: map_at_1000
value: 26.230999999999998
- type: map_at_3
value: 23.24
- type: map_at_5
value: 24.465999999999998
- type: mrr_at_1
value: 23.176
- type: mrr_at_10
value: 29.841
- type: mrr_at_100
value: 30.586999999999996
- type: mrr_at_1000
value: 30.659999999999997
- type: mrr_at_3
value: 27.992
- type: mrr_at_5
value: 29.137
- type: ndcg_at_1
value: 23.176
- type: ndcg_at_10
value: 29.517
- type: ndcg_at_100
value: 33.798
- type: ndcg_at_1000
value: 36.839
- type: ndcg_at_3
value: 26.464
- type: ndcg_at_5
value: 27.971
- type: precision_at_1
value: 23.176
- type: precision_at_10
value: 5.6370000000000005
- type: precision_at_100
value: 0.9400000000000001
- type: precision_at_1000
value: 0.146
- type: precision_at_3
value: 12.684999999999999
- type: precision_at_5
value: 9.099
- type: recall_at_1
value: 18.625
- type: recall_at_10
value: 37.151
- type: recall_at_100
value: 57.02199999999999
- type: recall_at_1000
value: 78.295
- type: recall_at_3
value: 28.112
- type: recall_at_5
value: 32.562999999999995
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 16.832
- type: map_at_10
value: 22.323999999999998
- type: map_at_100
value: 23.204
- type: map_at_1000
value: 23.316
- type: map_at_3
value: 20.631
- type: map_at_5
value: 21.587
- type: mrr_at_1
value: 21.274
- type: mrr_at_10
value: 26.705000000000002
- type: mrr_at_100
value: 27.427
- type: mrr_at_1000
value: 27.498
- type: mrr_at_3
value: 24.979000000000003
- type: mrr_at_5
value: 26.003999999999998
- type: ndcg_at_1
value: 21.274
- type: ndcg_at_10
value: 26.003999999999998
- type: ndcg_at_100
value: 30.196
- type: ndcg_at_1000
value: 33.011
- type: ndcg_at_3
value: 23.083000000000002
- type: ndcg_at_5
value: 24.455
- type: precision_at_1
value: 21.274
- type: precision_at_10
value: 4.764
- type: precision_at_100
value: 0.864
- type: precision_at_1000
value: 0.135
- type: precision_at_3
value: 11.04
- type: precision_at_5
value: 7.8469999999999995
- type: recall_at_1
value: 16.832
- type: recall_at_10
value: 32.729
- type: recall_at_100
value: 51.341
- type: recall_at_1000
value: 70.96900000000001
- type: recall_at_3
value: 24.229
- type: recall_at_5
value: 27.974
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 22.171
- type: map_at_10
value: 29.671999999999997
- type: map_at_100
value: 30.613
- type: map_at_1000
value: 30.705
- type: map_at_3
value: 27.331
- type: map_at_5
value: 28.743000000000002
- type: mrr_at_1
value: 25.705
- type: mrr_at_10
value: 32.637
- type: mrr_at_100
value: 33.428999999999995
- type: mrr_at_1000
value: 33.497
- type: mrr_at_3
value: 30.418
- type: mrr_at_5
value: 31.794
- type: ndcg_at_1
value: 25.705
- type: ndcg_at_10
value: 34.03
- type: ndcg_at_100
value: 38.663
- type: ndcg_at_1000
value: 41.071999999999996
- type: ndcg_at_3
value: 29.64
- type: ndcg_at_5
value: 31.953
- type: precision_at_1
value: 25.705
- type: precision_at_10
value: 5.542
- type: precision_at_100
value: 0.86
- type: precision_at_1000
value: 0.11399999999999999
- type: precision_at_3
value: 13.145000000000001
- type: precision_at_5
value: 9.442
- type: recall_at_1
value: 22.171
- type: recall_at_10
value: 44.439
- type: recall_at_100
value: 65.658
- type: recall_at_1000
value: 83.578
- type: recall_at_3
value: 32.681
- type: recall_at_5
value: 38.273
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 9.415999999999999
- type: map_at_10
value: 13.023000000000001
- type: map_at_100
value: 13.776
- type: map_at_1000
value: 13.882
- type: map_at_3
value: 11.834999999999999
- type: map_at_5
value: 12.472
- type: mrr_at_1
value: 10.282
- type: mrr_at_10
value: 14.069999999999999
- type: mrr_at_100
value: 14.802999999999999
- type: mrr_at_1000
value: 14.902999999999999
- type: mrr_at_3
value: 12.825000000000001
- type: mrr_at_5
value: 13.508000000000001
- type: ndcg_at_1
value: 10.282
- type: ndcg_at_10
value: 15.305
- type: ndcg_at_100
value: 19.234
- type: ndcg_at_1000
value: 22.368
- type: ndcg_at_3
value: 12.852
- type: ndcg_at_5
value: 13.985
- type: precision_at_1
value: 10.282
- type: precision_at_10
value: 2.407
- type: precision_at_100
value: 0.45799999999999996
- type: precision_at_1000
value: 0.077
- type: precision_at_3
value: 5.386
- type: precision_at_5
value: 3.842
- type: recall_at_1
value: 9.415999999999999
- type: recall_at_10
value: 21.465999999999998
- type: recall_at_100
value: 40.026
- type: recall_at_1000
value: 64.36699999999999
- type: recall_at_3
value: 14.849
- type: recall_at_5
value: 17.541999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 5.739
- type: map_at_10
value: 8.01
- type: map_at_100
value: 8.545
- type: map_at_1000
value: 8.649
- type: map_at_3
value: 7.059
- type: map_at_5
value: 7.558
- type: mrr_at_1
value: 7.587000000000001
- type: mrr_at_10
value: 10.222000000000001
- type: mrr_at_100
value: 10.817
- type: mrr_at_1000
value: 10.904
- type: mrr_at_3
value: 9.142
- type: mrr_at_5
value: 9.652
- type: ndcg_at_1
value: 7.587000000000001
- type: ndcg_at_10
value: 9.923
- type: ndcg_at_100
value: 13.29
- type: ndcg_at_1000
value: 16.607
- type: ndcg_at_3
value: 8.043
- type: ndcg_at_5
value: 8.827
- type: precision_at_1
value: 7.587000000000001
- type: precision_at_10
value: 1.8780000000000001
- type: precision_at_100
value: 0.428
- type: precision_at_1000
value: 0.084
- type: precision_at_3
value: 3.814
- type: precision_at_5
value: 2.861
- type: recall_at_1
value: 5.739
- type: recall_at_10
value: 13.776
- type: recall_at_100
value: 29.828
- type: recall_at_1000
value: 54.825
- type: recall_at_3
value: 8.6
- type: recall_at_5
value: 10.566
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 17.172
- type: map_at_10
value: 21.865000000000002
- type: map_at_100
value: 22.857
- type: map_at_1000
value: 22.985
- type: map_at_3
value: 20.326
- type: map_at_5
value: 21.175
- type: mrr_at_1
value: 20.693
- type: mrr_at_10
value: 25.716
- type: mrr_at_100
value: 26.576
- type: mrr_at_1000
value: 26.66
- type: mrr_at_3
value: 24.093999999999998
- type: mrr_at_5
value: 25.037
- type: ndcg_at_1
value: 20.693
- type: ndcg_at_10
value: 25.186999999999998
- type: ndcg_at_100
value: 30.259000000000004
- type: ndcg_at_1000
value: 33.424
- type: ndcg_at_3
value: 22.582
- type: ndcg_at_5
value: 23.783
- type: precision_at_1
value: 20.693
- type: precision_at_10
value: 4.427
- type: precision_at_100
value: 0.8410000000000001
- type: precision_at_1000
value: 0.128
- type: precision_at_3
value: 10.33
- type: precision_at_5
value: 7.315
- type: recall_at_1
value: 17.172
- type: recall_at_10
value: 31.494
- type: recall_at_100
value: 54.008
- type: recall_at_1000
value: 76.591
- type: recall_at_3
value: 23.851
- type: recall_at_5
value: 27.065
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 11.777
- type: map_at_10
value: 16.028000000000002
- type: map_at_100
value: 16.908
- type: map_at_1000
value: 17.026
- type: map_at_3
value: 14.623
- type: map_at_5
value: 15.309000000000001
- type: mrr_at_1
value: 14.498
- type: mrr_at_10
value: 19.3
- type: mrr_at_100
value: 20.125
- type: mrr_at_1000
value: 20.211000000000002
- type: mrr_at_3
value: 17.808
- type: mrr_at_5
value: 18.584
- type: ndcg_at_1
value: 14.498
- type: ndcg_at_10
value: 19.087
- type: ndcg_at_100
value: 23.651
- type: ndcg_at_1000
value: 26.838
- type: ndcg_at_3
value: 16.534
- type: ndcg_at_5
value: 17.546
- type: precision_at_1
value: 14.498
- type: precision_at_10
value: 3.4819999999999998
- type: precision_at_100
value: 0.687
- type: precision_at_1000
value: 0.11199999999999999
- type: precision_at_3
value: 7.800999999999999
- type: precision_at_5
value: 5.525
- type: recall_at_1
value: 11.777
- type: recall_at_10
value: 25.151
- type: recall_at_100
value: 45.653
- type: recall_at_1000
value: 68.569
- type: recall_at_3
value: 18.063000000000002
- type: recall_at_5
value: 20.757
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 12.363666666666665
- type: map_at_10
value: 16.769583333333333
- type: map_at_100
value: 17.52825
- type: map_at_1000
value: 17.63925
- type: map_at_3
value: 15.336083333333333
- type: map_at_5
value: 16.122083333333332
- type: mrr_at_1
value: 14.978166666666667
- type: mrr_at_10
value: 19.563416666666665
- type: mrr_at_100
value: 20.268500000000003
- type: mrr_at_1000
value: 20.353
- type: mrr_at_3
value: 18.08591666666667
- type: mrr_at_5
value: 18.910083333333333
- type: ndcg_at_1
value: 14.978166666666667
- type: ndcg_at_10
value: 19.7445
- type: ndcg_at_100
value: 23.696083333333334
- type: ndcg_at_1000
value: 26.728
- type: ndcg_at_3
value: 17.140833333333333
- type: ndcg_at_5
value: 18.317750000000004
- type: precision_at_1
value: 14.978166666666667
- type: precision_at_10
value: 3.4974166666666666
- type: precision_at_100
value: 0.6443333333333334
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 7.916749999999999
- type: precision_at_5
value: 5.668166666666666
- type: recall_at_1
value: 12.363666666666665
- type: recall_at_10
value: 26.023833333333336
- type: recall_at_100
value: 44.30291666666666
- type: recall_at_1000
value: 66.63566666666667
- type: recall_at_3
value: 18.639416666666666
- type: recall_at_5
value: 21.716833333333334
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 8.491
- type: map_at_10
value: 11.84
- type: map_at_100
value: 12.489
- type: map_at_1000
value: 12.558
- type: map_at_3
value: 10.619
- type: map_at_5
value: 11.350999999999999
- type: mrr_at_1
value: 10.276
- type: mrr_at_10
value: 13.855999999999998
- type: mrr_at_100
value: 14.487
- type: mrr_at_1000
value: 14.549999999999999
- type: mrr_at_3
value: 12.679000000000002
- type: mrr_at_5
value: 13.4
- type: ndcg_at_1
value: 10.276
- type: ndcg_at_10
value: 14.185
- type: ndcg_at_100
value: 17.654
- type: ndcg_at_1000
value: 19.813
- type: ndcg_at_3
value: 11.912
- type: ndcg_at_5
value: 13.061
- type: precision_at_1
value: 10.276
- type: precision_at_10
value: 2.5
- type: precision_at_100
value: 0.45599999999999996
- type: precision_at_1000
value: 0.06999999999999999
- type: precision_at_3
value: 5.521
- type: precision_at_5
value: 4.08
- type: recall_at_1
value: 8.491
- type: recall_at_10
value: 19.528000000000002
- type: recall_at_100
value: 35.942
- type: recall_at_1000
value: 52.614000000000004
- type: recall_at_3
value: 13.092
- type: recall_at_5
value: 15.988
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 6.343999999999999
- type: map_at_10
value: 9.16
- type: map_at_100
value: 9.693999999999999
- type: map_at_1000
value: 9.794
- type: map_at_3
value: 8.32
- type: map_at_5
value: 8.662
- type: mrr_at_1
value: 7.983
- type: mrr_at_10
value: 11.277
- type: mrr_at_100
value: 11.825
- type: mrr_at_1000
value: 11.914
- type: mrr_at_3
value: 10.323
- type: mrr_at_5
value: 10.735999999999999
- type: ndcg_at_1
value: 7.983
- type: ndcg_at_10
value: 11.231
- type: ndcg_at_100
value: 14.202
- type: ndcg_at_1000
value: 17.22
- type: ndcg_at_3
value: 9.600999999999999
- type: ndcg_at_5
value: 10.086
- type: precision_at_1
value: 7.983
- type: precision_at_10
value: 2.116
- type: precision_at_100
value: 0.432
- type: precision_at_1000
value: 0.082
- type: precision_at_3
value: 4.691
- type: precision_at_5
value: 3.2419999999999995
- type: recall_at_1
value: 6.343999999999999
- type: recall_at_10
value: 15.526000000000002
- type: recall_at_100
value: 29.496
- type: recall_at_1000
value: 52.088
- type: recall_at_3
value: 10.665
- type: recall_at_5
value: 12.055
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 10.299999999999999
- type: map_at_10
value: 13.899000000000001
- type: map_at_100
value: 14.575
- type: map_at_1000
value: 14.677999999999999
- type: map_at_3
value: 12.672
- type: map_at_5
value: 13.302
- type: mrr_at_1
value: 12.313
- type: mrr_at_10
value: 16.139
- type: mrr_at_100
value: 16.858
- type: mrr_at_1000
value: 16.957
- type: mrr_at_3
value: 14.77
- type: mrr_at_5
value: 15.459999999999999
- type: ndcg_at_1
value: 12.313
- type: ndcg_at_10
value: 16.408
- type: ndcg_at_100
value: 19.991
- type: ndcg_at_1000
value: 23.236
- type: ndcg_at_3
value: 13.980999999999998
- type: ndcg_at_5
value: 14.976999999999999
- type: precision_at_1
value: 12.313
- type: precision_at_10
value: 2.771
- type: precision_at_100
value: 0.504
- type: precision_at_1000
value: 0.08800000000000001
- type: precision_at_3
value: 6.281000000000001
- type: precision_at_5
value: 4.44
- type: recall_at_1
value: 10.299999999999999
- type: recall_at_10
value: 22.096
- type: recall_at_100
value: 38.515
- type: recall_at_1000
value: 63.157
- type: recall_at_3
value: 15.193000000000001
- type: recall_at_5
value: 17.807000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 12.791
- type: map_at_10
value: 17.625
- type: map_at_100
value: 18.448999999999998
- type: map_at_1000
value: 18.626
- type: map_at_3
value: 16.176
- type: map_at_5
value: 17.018
- type: mrr_at_1
value: 15.415000000000001
- type: mrr_at_10
value: 20.612
- type: mrr_at_100
value: 21.305
- type: mrr_at_1000
value: 21.410999999999998
- type: mrr_at_3
value: 18.939
- type: mrr_at_5
value: 19.928
- type: ndcg_at_1
value: 15.415000000000001
- type: ndcg_at_10
value: 20.819
- type: ndcg_at_100
value: 24.814
- type: ndcg_at_1000
value: 28.693
- type: ndcg_at_3
value: 18.495
- type: ndcg_at_5
value: 19.645000000000003
- type: precision_at_1
value: 15.415000000000001
- type: precision_at_10
value: 3.913
- type: precision_at_100
value: 0.804
- type: precision_at_1000
value: 0.158
- type: precision_at_3
value: 8.762
- type: precision_at_5
value: 6.4430000000000005
- type: recall_at_1
value: 12.791
- type: recall_at_10
value: 26.791999999999998
- type: recall_at_100
value: 45.705
- type: recall_at_1000
value: 72.547
- type: recall_at_3
value: 19.902
- type: recall_at_5
value: 23.019000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 8.706
- type: map_at_10
value: 12.547
- type: map_at_100
value: 13.123999999999999
- type: map_at_1000
value: 13.221
- type: map_at_3
value: 11.201
- type: map_at_5
value: 11.822000000000001
- type: mrr_at_1
value: 10.536
- type: mrr_at_10
value: 14.386
- type: mrr_at_100
value: 14.982999999999999
- type: mrr_at_1000
value: 15.071000000000002
- type: mrr_at_3
value: 13.062000000000001
- type: mrr_at_5
value: 13.681
- type: ndcg_at_1
value: 10.536
- type: ndcg_at_10
value: 15.238
- type: ndcg_at_100
value: 18.601
- type: ndcg_at_1000
value: 21.615000000000002
- type: ndcg_at_3
value: 12.503
- type: ndcg_at_5
value: 13.524
- type: precision_at_1
value: 10.536
- type: precision_at_10
value: 2.532
- type: precision_at_100
value: 0.45799999999999996
- type: precision_at_1000
value: 0.078
- type: precision_at_3
value: 5.545
- type: precision_at_5
value: 3.882
- type: recall_at_1
value: 8.706
- type: recall_at_10
value: 22.137999999999998
- type: recall_at_100
value: 38.440999999999995
- type: recall_at_1000
value: 62.028000000000006
- type: recall_at_3
value: 14.435999999999998
- type: recall_at_5
value: 16.993
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.991
- type: map_at_10
value: 10.279
- type: map_at_100
value: 11.522
- type: map_at_1000
value: 11.725
- type: map_at_3
value: 8.358
- type: map_at_5
value: 9.168999999999999
- type: mrr_at_1
value: 12.899
- type: mrr_at_10
value: 20.954
- type: mrr_at_100
value: 22.005
- type: mrr_at_1000
value: 22.076
- type: mrr_at_3
value: 17.849999999999998
- type: mrr_at_5
value: 19.534000000000002
- type: ndcg_at_1
value: 12.899
- type: ndcg_at_10
value: 15.591
- type: ndcg_at_100
value: 21.558
- type: ndcg_at_1000
value: 25.795
- type: ndcg_at_3
value: 11.662
- type: ndcg_at_5
value: 12.916
- type: precision_at_1
value: 12.899
- type: precision_at_10
value: 5.218
- type: precision_at_100
value: 1.164
- type: precision_at_1000
value: 0.194
- type: precision_at_3
value: 8.708
- type: precision_at_5
value: 6.997000000000001
- type: recall_at_1
value: 5.991
- type: recall_at_10
value: 20.165
- type: recall_at_100
value: 41.479
- type: recall_at_1000
value: 66.014
- type: recall_at_3
value: 10.915
- type: recall_at_5
value: 14.033000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 2.752
- type: map_at_10
value: 6.859
- type: map_at_100
value: 9.745
- type: map_at_1000
value: 10.549
- type: map_at_3
value: 4.707
- type: map_at_5
value: 5.7059999999999995
- type: mrr_at_1
value: 35
- type: mrr_at_10
value: 44.019999999999996
- type: mrr_at_100
value: 44.773
- type: mrr_at_1000
value: 44.812999999999995
- type: mrr_at_3
value: 40.583000000000006
- type: mrr_at_5
value: 42.921
- type: ndcg_at_1
value: 25.124999999999996
- type: ndcg_at_10
value: 19.197
- type: ndcg_at_100
value: 21.688
- type: ndcg_at_1000
value: 27.944000000000003
- type: ndcg_at_3
value: 20.949
- type: ndcg_at_5
value: 20.333000000000002
- type: precision_at_1
value: 35
- type: precision_at_10
value: 17.549999999999997
- type: precision_at_100
value: 5.645
- type: precision_at_1000
value: 1.218
- type: precision_at_3
value: 25
- type: precision_at_5
value: 22.5
- type: recall_at_1
value: 2.752
- type: recall_at_10
value: 10.939
- type: recall_at_100
value: 27.250000000000004
- type: recall_at_1000
value: 48.545
- type: recall_at_3
value: 5.79
- type: recall_at_5
value: 7.981000000000001
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 40.695
- type: f1
value: 36.79470681884116
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 12.595999999999998
- type: map_at_10
value: 18.759999999999998
- type: map_at_100
value: 19.605
- type: map_at_1000
value: 19.68
- type: map_at_3
value: 16.692
- type: map_at_5
value: 17.773
- type: mrr_at_1
value: 13.411000000000001
- type: mrr_at_10
value: 19.907
- type: mrr_at_100
value: 20.767
- type: mrr_at_1000
value: 20.837
- type: mrr_at_3
value: 17.762
- type: mrr_at_5
value: 18.895999999999997
- type: ndcg_at_1
value: 13.411000000000001
- type: ndcg_at_10
value: 22.647000000000002
- type: ndcg_at_100
value: 27.084999999999997
- type: ndcg_at_1000
value: 29.296
- type: ndcg_at_3
value: 18.326999999999998
- type: ndcg_at_5
value: 20.265
- type: precision_at_1
value: 13.411000000000001
- type: precision_at_10
value: 3.6740000000000004
- type: precision_at_100
value: 0.608
- type: precision_at_1000
value: 0.082
- type: precision_at_3
value: 7.890999999999999
- type: precision_at_5
value: 5.755
- type: recall_at_1
value: 12.595999999999998
- type: recall_at_10
value: 33.836
- type: recall_at_100
value: 54.82
- type: recall_at_1000
value: 72.15599999999999
- type: recall_at_3
value: 21.961
- type: recall_at_5
value: 26.601999999999997
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 4.716
- type: map_at_10
value: 7.8340000000000005
- type: map_at_100
value: 8.652
- type: map_at_1000
value: 8.838
- type: map_at_3
value: 6.802999999999999
- type: map_at_5
value: 7.292999999999999
- type: mrr_at_1
value: 9.259
- type: mrr_at_10
value: 14.297
- type: mrr_at_100
value: 15.14
- type: mrr_at_1000
value: 15.260000000000002
- type: mrr_at_3
value: 12.834000000000001
- type: mrr_at_5
value: 13.483
- type: ndcg_at_1
value: 9.259
- type: ndcg_at_10
value: 11.083
- type: ndcg_at_100
value: 15.493000000000002
- type: ndcg_at_1000
value: 19.895
- type: ndcg_at_3
value: 9.494
- type: ndcg_at_5
value: 9.884
- type: precision_at_1
value: 9.259
- type: precision_at_10
value: 3.1329999999999996
- type: precision_at_100
value: 0.761
- type: precision_at_1000
value: 0.148
- type: precision_at_3
value: 6.379
- type: precision_at_5
value: 4.63
- type: recall_at_1
value: 4.716
- type: recall_at_10
value: 14.516000000000002
- type: recall_at_100
value: 31.980999999999998
- type: recall_at_1000
value: 59.891000000000005
- type: recall_at_3
value: 9.123000000000001
- type: recall_at_5
value: 10.975
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 13.977
- type: map_at_10
value: 19.313
- type: map_at_100
value: 20.09
- type: map_at_1000
value: 20.191
- type: map_at_3
value: 17.777
- type: map_at_5
value: 18.621
- type: mrr_at_1
value: 27.954
- type: mrr_at_10
value: 34.175
- type: mrr_at_100
value: 34.886
- type: mrr_at_1000
value: 34.953
- type: mrr_at_3
value: 32.471
- type: mrr_at_5
value: 33.383
- type: ndcg_at_1
value: 27.954
- type: ndcg_at_10
value: 25.102999999999998
- type: ndcg_at_100
value: 28.887
- type: ndcg_at_1000
value: 31.554
- type: ndcg_at_3
value: 22.06
- type: ndcg_at_5
value: 23.491999999999997
- type: precision_at_1
value: 27.954
- type: precision_at_10
value: 5.542
- type: precision_at_100
value: 0.859
- type: precision_at_1000
value: 0.122
- type: precision_at_3
value: 13.886999999999999
- type: precision_at_5
value: 9.464
- type: recall_at_1
value: 13.977
- type: recall_at_10
value: 27.711000000000002
- type: recall_at_100
value: 42.93
- type: recall_at_1000
value: 60.864
- type: recall_at_3
value: 20.831
- type: recall_at_5
value: 23.66
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 62.92960000000001
- type: ap
value: 58.305412968174274
- type: f1
value: 62.79151880122965
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 4.644
- type: map_at_10
value: 8.189
- type: map_at_100
value: 8.941
- type: map_at_1000
value: 9.034
- type: map_at_3
value: 6.811
- type: map_at_5
value: 7.53
- type: mrr_at_1
value: 4.771
- type: mrr_at_10
value: 8.426
- type: mrr_at_100
value: 9.186
- type: mrr_at_1000
value: 9.276
- type: mrr_at_3
value: 7.031999999999999
- type: mrr_at_5
value: 7.7509999999999994
- type: ndcg_at_1
value: 4.742
- type: ndcg_at_10
value: 10.471
- type: ndcg_at_100
value: 14.651
- type: ndcg_at_1000
value: 17.529
- type: ndcg_at_3
value: 7.599
- type: ndcg_at_5
value: 8.886
- type: precision_at_1
value: 4.742
- type: precision_at_10
value: 1.83
- type: precision_at_100
value: 0.4
- type: precision_at_1000
value: 0.065
- type: precision_at_3
value: 3.3520000000000003
- type: precision_at_5
value: 2.653
- type: recall_at_1
value: 4.644
- type: recall_at_10
value: 17.592
- type: recall_at_100
value: 38.112
- type: recall_at_1000
value: 61.36000000000001
- type: recall_at_3
value: 9.672
- type: recall_at_5
value: 12.766
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 84.52120383036934
- type: f1
value: 84.02668015212832
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 57.425900592795266
- type: f1
value: 39.185902692178225
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.395427034297235
- type: f1
value: 59.07963466976405
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 66.7619367854741
- type: f1
value: 65.31589654283285
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 26.800219005224214
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 24.232953769516218
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 28.764776217338706
- type: mrr
value: 29.61488447099121
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.087
- type: map_at_10
value: 5.01
- type: map_at_100
value: 6.239
- type: map_at_1000
value: 7.2620000000000005
- type: map_at_3
value: 3.884
- type: map_at_5
value: 4.519
- type: mrr_at_1
value: 27.245
- type: mrr_at_10
value: 35.077000000000005
- type: mrr_at_100
value: 36.007
- type: mrr_at_1000
value: 36.087
- type: mrr_at_3
value: 32.405
- type: mrr_at_5
value: 34.2
- type: ndcg_at_1
value: 25.851000000000003
- type: ndcg_at_10
value: 17.534
- type: ndcg_at_100
value: 16.656000000000002
- type: ndcg_at_1000
value: 26.058999999999997
- type: ndcg_at_3
value: 20.155
- type: ndcg_at_5
value: 19.349
- type: precision_at_1
value: 27.245
- type: precision_at_10
value: 13.096
- type: precision_at_100
value: 4.723999999999999
- type: precision_at_1000
value: 1.73
- type: precision_at_3
value: 18.473
- type: precision_at_5
value: 16.718
- type: recall_at_1
value: 3.087
- type: recall_at_10
value: 7.555000000000001
- type: recall_at_100
value: 18.819
- type: recall_at_1000
value: 51.94
- type: recall_at_3
value: 4.387
- type: recall_at_5
value: 5.955
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 7.423
- type: map_at_10
value: 12.739
- type: map_at_100
value: 13.803
- type: map_at_1000
value: 13.905000000000001
- type: map_at_3
value: 10.796999999999999
- type: map_at_5
value: 11.785
- type: mrr_at_1
value: 8.459
- type: mrr_at_10
value: 14.205000000000002
- type: mrr_at_100
value: 15.213
- type: mrr_at_1000
value: 15.303
- type: mrr_at_3
value: 12.138
- type: mrr_at_5
value: 13.192
- type: ndcg_at_1
value: 8.459
- type: ndcg_at_10
value: 16.353
- type: ndcg_at_100
value: 21.83
- type: ndcg_at_1000
value: 24.768
- type: ndcg_at_3
value: 12.237
- type: ndcg_at_5
value: 14.033999999999999
- type: precision_at_1
value: 8.459
- type: precision_at_10
value: 3.053
- type: precision_at_100
value: 0.616
- type: precision_at_1000
value: 0.09
- type: precision_at_3
value: 5.755
- type: precision_at_5
value: 4.455
- type: recall_at_1
value: 7.423
- type: recall_at_10
value: 26.226
- type: recall_at_100
value: 51.73799999999999
- type: recall_at_1000
value: 74.471
- type: recall_at_3
value: 15.134
- type: recall_at_5
value: 19.351
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 59.080999999999996
- type: map_at_10
value: 71.06700000000001
- type: map_at_100
value: 71.892
- type: map_at_1000
value: 71.935
- type: map_at_3
value: 68.291
- type: map_at_5
value: 69.93599999999999
- type: mrr_at_1
value: 68.04
- type: mrr_at_10
value: 75.777
- type: mrr_at_100
value: 76.095
- type: mrr_at_1000
value: 76.105
- type: mrr_at_3
value: 74.248
- type: mrr_at_5
value: 75.199
- type: ndcg_at_1
value: 68.08
- type: ndcg_at_10
value: 75.92999999999999
- type: ndcg_at_100
value: 78.467
- type: ndcg_at_1000
value: 79.08800000000001
- type: ndcg_at_3
value: 72.33800000000001
- type: ndcg_at_5
value: 74.117
- type: precision_at_1
value: 68.08
- type: precision_at_10
value: 11.453000000000001
- type: precision_at_100
value: 1.397
- type: precision_at_1000
value: 0.152
- type: precision_at_3
value: 31.343
- type: precision_at_5
value: 20.663999999999998
- type: recall_at_1
value: 59.080999999999996
- type: recall_at_10
value: 85.235
- type: recall_at_100
value: 95.232
- type: recall_at_1000
value: 99.003
- type: recall_at_3
value: 74.857
- type: recall_at_5
value: 79.866
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 32.60289362468036
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 40.4522615771674
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.128
- type: map_at_10
value: 5.224
- type: map_at_100
value: 6.2
- type: map_at_1000
value: 6.41
- type: map_at_3
value: 3.7929999999999997
- type: map_at_5
value: 4.507
- type: mrr_at_1
value: 10.4
- type: mrr_at_10
value: 17.692
- type: mrr_at_100
value: 18.721
- type: mrr_at_1000
value: 18.828
- type: mrr_at_3
value: 15.283
- type: mrr_at_5
value: 16.673
- type: ndcg_at_1
value: 10.4
- type: ndcg_at_10
value: 9.673
- type: ndcg_at_100
value: 14.597
- type: ndcg_at_1000
value: 19.45
- type: ndcg_at_3
value: 8.924999999999999
- type: ndcg_at_5
value: 7.968999999999999
- type: precision_at_1
value: 10.4
- type: precision_at_10
value: 5.09
- type: precision_at_100
value: 1.239
- type: precision_at_1000
value: 0.242
- type: precision_at_3
value: 8.4
- type: precision_at_5
value: 7.08
- type: recall_at_1
value: 2.128
- type: recall_at_10
value: 10.355
- type: recall_at_100
value: 25.131999999999998
- type: recall_at_1000
value: 49.123
- type: recall_at_3
value: 5.148
- type: recall_at_5
value: 7.227
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.367126208385
- type: cos_sim_spearman
value: 68.33460522353158
- type: euclidean_pearson
value: 72.82526651070455
- type: euclidean_spearman
value: 68.3346412251751
- type: manhattan_pearson
value: 69.54331108044752
- type: manhattan_spearman
value: 65.45302638171147
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 70.85977556465735
- type: cos_sim_spearman
value: 63.97433796108382
- type: euclidean_pearson
value: 67.10317546783216
- type: euclidean_spearman
value: 63.9755699230653
- type: manhattan_pearson
value: 65.52418699963135
- type: manhattan_spearman
value: 63.21258915122308
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 73.1838126630538
- type: cos_sim_spearman
value: 75.39011836536339
- type: euclidean_pearson
value: 74.9782801873135
- type: euclidean_spearman
value: 75.39015619876471
- type: manhattan_pearson
value: 74.93646082889957
- type: manhattan_spearman
value: 75.27860913964665
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 75.33602852852485
- type: cos_sim_spearman
value: 72.88610761015623
- type: euclidean_pearson
value: 74.74618127482613
- type: euclidean_spearman
value: 72.88609792110957
- type: manhattan_pearson
value: 74.00797719940813
- type: manhattan_spearman
value: 72.30319426143821
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 78.48344310675034
- type: cos_sim_spearman
value: 79.5602100440999
- type: euclidean_pearson
value: 79.6105408248732
- type: euclidean_spearman
value: 79.56019504416581
- type: manhattan_pearson
value: 79.94079490935202
- type: manhattan_spearman
value: 80.19729048900355
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 74.02545587458899
- type: cos_sim_spearman
value: 75.2780369994608
- type: euclidean_pearson
value: 74.81275720654355
- type: euclidean_spearman
value: 75.27802996000392
- type: manhattan_pearson
value: 75.365898594137
- type: manhattan_spearman
value: 75.99988657994446
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 83.37158192569701
- type: cos_sim_spearman
value: 84.53055784651096
- type: euclidean_pearson
value: 84.50120181859903
- type: euclidean_spearman
value: 84.53143170799756
- type: manhattan_pearson
value: 83.67777600066678
- type: manhattan_spearman
value: 84.30878918286747
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 62.60218549460609
- type: cos_sim_spearman
value: 60.4194432631911
- type: euclidean_pearson
value: 62.3707197693071
- type: euclidean_spearman
value: 60.4194432631911
- type: manhattan_pearson
value: 62.154998597530245
- type: manhattan_spearman
value: 60.670846068288775
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 76.44357753178365
- type: cos_sim_spearman
value: 75.1868455148921
- type: euclidean_pearson
value: 76.36802547145336
- type: euclidean_spearman
value: 75.1868639836731
- type: manhattan_pearson
value: 75.85844829336776
- type: manhattan_spearman
value: 74.88123489350302
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 68.51995354068147
- type: mrr
value: 88.515406162465
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 25.611
- type: map_at_10
value: 32.638
- type: map_at_100
value: 33.593
- type: map_at_1000
value: 33.672000000000004
- type: map_at_3
value: 30.166999999999998
- type: map_at_5
value: 31.306
- type: mrr_at_1
value: 27
- type: mrr_at_10
value: 34.104
- type: mrr_at_100
value: 34.98
- type: mrr_at_1000
value: 35.046
- type: mrr_at_3
value: 31.889
- type: mrr_at_5
value: 32.906
- type: ndcg_at_1
value: 27
- type: ndcg_at_10
value: 36.882999999999996
- type: ndcg_at_100
value: 41.941
- type: ndcg_at_1000
value: 44.341
- type: ndcg_at_3
value: 31.945
- type: ndcg_at_5
value: 33.833999999999996
- type: precision_at_1
value: 27
- type: precision_at_10
value: 5.367
- type: precision_at_100
value: 0.823
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 12.778
- type: precision_at_5
value: 8.733
- type: recall_at_1
value: 25.611
- type: recall_at_10
value: 48.888999999999996
- type: recall_at_100
value: 73.089
- type: recall_at_1000
value: 92.45
- type: recall_at_3
value: 35.25
- type: recall_at_5
value: 39.778000000000006
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.56732673267327
- type: cos_sim_ap
value: 83.46633430421917
- type: cos_sim_f1
value: 76.71816728822589
- type: cos_sim_precision
value: 82.09806157354618
- type: cos_sim_recall
value: 72
- type: dot_accuracy
value: 99.56732673267327
- type: dot_ap
value: 83.46633430421917
- type: dot_f1
value: 76.71816728822589
- type: dot_precision
value: 82.09806157354618
- type: dot_recall
value: 72
- type: euclidean_accuracy
value: 99.56732673267327
- type: euclidean_ap
value: 83.46633430421917
- type: euclidean_f1
value: 76.71816728822589
- type: euclidean_precision
value: 82.09806157354618
- type: euclidean_recall
value: 72
- type: manhattan_accuracy
value: 99.67722772277227
- type: manhattan_ap
value: 89.71022888608738
- type: manhattan_f1
value: 82.66129032258065
- type: manhattan_precision
value: 83.33333333333334
- type: manhattan_recall
value: 82
- type: max_accuracy
value: 99.67722772277227
- type: max_ap
value: 89.71022888608738
- type: max_f1
value: 82.66129032258065
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 38.950459678791944
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 28.43306179999893
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 41.30089691776191
- type: mrr
value: 41.81213394448689
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.787391241122602
- type: cos_sim_spearman
value: 30.10535337344201
- type: dot_pearson
value: 29.787391177030514
- type: dot_spearman
value: 30.02195919678659
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.082
- type: map_at_10
value: 0.522
- type: map_at_100
value: 2.443
- type: map_at_1000
value: 6.104
- type: map_at_3
value: 0.21
- type: map_at_5
value: 0.335
- type: mrr_at_1
value: 42
- type: mrr_at_10
value: 52.908
- type: mrr_at_100
value: 53.563
- type: mrr_at_1000
value: 53.563
- type: mrr_at_3
value: 48.667
- type: mrr_at_5
value: 50.967
- type: ndcg_at_1
value: 36
- type: ndcg_at_10
value: 33.141
- type: ndcg_at_100
value: 23.552999999999997
- type: ndcg_at_1000
value: 21.127000000000002
- type: ndcg_at_3
value: 35.274
- type: ndcg_at_5
value: 35.374
- type: precision_at_1
value: 42
- type: precision_at_10
value: 35.8
- type: precision_at_100
value: 24.46
- type: precision_at_1000
value: 10.556000000000001
- type: precision_at_3
value: 38.667
- type: precision_at_5
value: 39.6
- type: recall_at_1
value: 0.082
- type: recall_at_10
value: 0.762
- type: recall_at_100
value: 5.053
- type: recall_at_1000
value: 20.758
- type: recall_at_3
value: 0.256
- type: recall_at_5
value: 0.428
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.6310000000000002
- type: map_at_10
value: 5.423
- type: map_at_100
value: 9.573
- type: map_at_1000
value: 11.048
- type: map_at_3
value: 3.318
- type: map_at_5
value: 4.093999999999999
- type: mrr_at_1
value: 24.490000000000002
- type: mrr_at_10
value: 38.083
- type: mrr_at_100
value: 39.221000000000004
- type: mrr_at_1000
value: 39.227000000000004
- type: mrr_at_3
value: 34.694
- type: mrr_at_5
value: 35.510000000000005
- type: ndcg_at_1
value: 22.448999999999998
- type: ndcg_at_10
value: 17.093
- type: ndcg_at_100
value: 27.413999999999998
- type: ndcg_at_1000
value: 39.706
- type: ndcg_at_3
value: 19.91
- type: ndcg_at_5
value: 18.007
- type: precision_at_1
value: 24.490000000000002
- type: precision_at_10
value: 15.306000000000001
- type: precision_at_100
value: 6.327000000000001
- type: precision_at_1000
value: 1.392
- type: precision_at_3
value: 21.088
- type: precision_at_5
value: 17.959
- type: recall_at_1
value: 1.6310000000000002
- type: recall_at_10
value: 10.459
- type: recall_at_100
value: 38.216
- type: recall_at_1000
value: 75.151
- type: recall_at_3
value: 4.634
- type: recall_at_5
value: 6.0409999999999995
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 70.7038
- type: ap
value: 14.220727052200816
- type: f1
value: 54.464733589173576
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 52.478777589134125
- type: f1
value: 52.650244129490055
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 33.99931902240702
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.52965369255529
- type: cos_sim_ap
value: 62.51268142006894
- type: cos_sim_f1
value: 59.800097513408105
- type: cos_sim_precision
value: 55.57317625736293
- type: cos_sim_recall
value: 64.72295514511873
- type: dot_accuracy
value: 82.52965369255529
- type: dot_ap
value: 62.51268142006894
- type: dot_f1
value: 59.800097513408105
- type: dot_precision
value: 55.57317625736293
- type: dot_recall
value: 64.72295514511873
- type: euclidean_accuracy
value: 82.52965369255529
- type: euclidean_ap
value: 62.51268142006894
- type: euclidean_f1
value: 59.800097513408105
- type: euclidean_precision
value: 55.57317625736293
- type: euclidean_recall
value: 64.72295514511873
- type: manhattan_accuracy
value: 81.77862549919533
- type: manhattan_ap
value: 59.21825218726623
- type: manhattan_f1
value: 56.64351333183957
- type: manhattan_precision
value: 49.22118380062305
- type: manhattan_recall
value: 66.7018469656992
- type: max_accuracy
value: 82.52965369255529
- type: max_ap
value: 62.51268142006894
- type: max_f1
value: 59.800097513408105
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.01051732836575
- type: cos_sim_ap
value: 82.14373850939549
- type: cos_sim_f1
value: 74.26138467234358
- type: cos_sim_precision
value: 71.52332049636286
- type: cos_sim_recall
value: 77.21743147520789
- type: dot_accuracy
value: 87.01051732836575
- type: dot_ap
value: 82.14374565499902
- type: dot_f1
value: 74.26138467234358
- type: dot_precision
value: 71.52332049636286
- type: dot_recall
value: 77.21743147520789
- type: euclidean_accuracy
value: 87.01051732836575
- type: euclidean_ap
value: 82.14373956027772
- type: euclidean_f1
value: 74.26138467234358
- type: euclidean_precision
value: 71.52332049636286
- type: euclidean_recall
value: 77.21743147520789
- type: manhattan_accuracy
value: 87.06290992354562
- type: manhattan_ap
value: 82.16999565860169
- type: manhattan_f1
value: 74.21972757498838
- type: manhattan_precision
value: 69.27851565107122
- type: manhattan_recall
value: 79.91992608561749
- type: max_accuracy
value: 87.06290992354562
- type: max_ap
value: 82.16999565860169
- type: max_f1
value: 74.26138467234358