metadata
tags:
- mteb
model-index:
- name: mpnet_main_noabtt
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 68.01492537313432
- type: ap
value: 29.926088215432827
- type: f1
value: 61.543829186658314
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 66.03607500000001
- type: ap
value: 60.89551858560106
- type: f1
value: 65.80068648160709
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 34.78199999999999
- type: f1
value: 34.250938954862356
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 21.266
- type: map_at_10
value: 35.196
- type: map_at_100
value: 36.387
- type: map_at_1000
value: 36.416
- type: map_at_3
value: 30.773
- type: map_at_5
value: 33.163
- type: mrr_at_1
value: 22.048000000000002
- type: mrr_at_10
value: 35.481
- type: mrr_at_100
value: 36.665
- type: mrr_at_1000
value: 36.693999999999996
- type: mrr_at_3
value: 31.069000000000003
- type: mrr_at_5
value: 33.455
- type: ndcg_at_1
value: 21.266
- type: ndcg_at_10
value: 43.114000000000004
- type: ndcg_at_100
value: 48.61
- type: ndcg_at_1000
value: 49.334
- type: ndcg_at_3
value: 33.951
- type: ndcg_at_5
value: 38.257999999999996
- type: precision_at_1
value: 21.266
- type: precision_at_10
value: 6.848999999999999
- type: precision_at_100
value: 0.935
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 14.391000000000002
- type: precision_at_5
value: 10.725
- type: recall_at_1
value: 21.266
- type: recall_at_10
value: 68.49199999999999
- type: recall_at_100
value: 93.528
- type: recall_at_1000
value: 99.14699999999999
- type: recall_at_3
value: 43.172
- type: recall_at_5
value: 53.627
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 36.01511495124908
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 26.77906639415867
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 54.32809895348082
- type: mrr
value: 68.93109967902211
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 78.61413947741643
- type: cos_sim_spearman
value: 75.72702669649405
- type: euclidean_pearson
value: 77.72961558201939
- type: euclidean_spearman
value: 75.72702669649405
- type: manhattan_pearson
value: 78.63299657922013
- type: manhattan_spearman
value: 77.19874697762698
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 72.92857142857143
- type: f1
value: 72.1661081571387
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 33.19795849293594
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 25.13940168273952
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 22.384999999999998
- type: map_at_10
value: 29.628
- type: map_at_100
value: 30.781
- type: map_at_1000
value: 30.933
- type: map_at_3
value: 26.889000000000003
- type: map_at_5
value: 28.388999999999996
- type: mrr_at_1
value: 28.183000000000003
- type: mrr_at_10
value: 34.952
- type: mrr_at_100
value: 35.774
- type: mrr_at_1000
value: 35.843
- type: mrr_at_3
value: 32.499
- type: mrr_at_5
value: 33.829
- type: ndcg_at_1
value: 28.183000000000003
- type: ndcg_at_10
value: 34.614
- type: ndcg_at_100
value: 39.737
- type: ndcg_at_1000
value: 42.742999999999995
- type: ndcg_at_3
value: 30.328
- type: ndcg_at_5
value: 32.23
- type: precision_at_1
value: 28.183000000000003
- type: precision_at_10
value: 6.723999999999999
- type: precision_at_100
value: 1.172
- type: precision_at_1000
value: 0.181
- type: precision_at_3
value: 14.402000000000001
- type: precision_at_5
value: 10.587
- type: recall_at_1
value: 22.384999999999998
- type: recall_at_10
value: 43.537
- type: recall_at_100
value: 66.37100000000001
- type: recall_at_1000
value: 86.978
- type: recall_at_3
value: 30.874000000000002
- type: recall_at_5
value: 36.358000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 15.145
- type: map_at_10
value: 20.992
- type: map_at_100
value: 21.951999999999998
- type: map_at_1000
value: 22.076999999999998
- type: map_at_3
value: 19.211
- type: map_at_5
value: 20.233999999999998
- type: mrr_at_1
value: 19.363
- type: mrr_at_10
value: 24.97
- type: mrr_at_100
value: 25.818
- type: mrr_at_1000
value: 25.895000000000003
- type: mrr_at_3
value: 23.238
- type: mrr_at_5
value: 24.288999999999998
- type: ndcg_at_1
value: 19.363
- type: ndcg_at_10
value: 24.665
- type: ndcg_at_100
value: 29.122999999999998
- type: ndcg_at_1000
value: 32.06
- type: ndcg_at_3
value: 21.729000000000003
- type: ndcg_at_5
value: 23.148
- type: precision_at_1
value: 19.363
- type: precision_at_10
value: 4.643
- type: precision_at_100
value: 0.864
- type: precision_at_1000
value: 0.13699999999999998
- type: precision_at_3
value: 10.51
- type: precision_at_5
value: 7.617999999999999
- type: recall_at_1
value: 15.145
- type: recall_at_10
value: 31.653
- type: recall_at_100
value: 51.344
- type: recall_at_1000
value: 71.352
- type: recall_at_3
value: 22.892000000000003
- type: recall_at_5
value: 26.878999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 24.68
- type: map_at_10
value: 33
- type: map_at_100
value: 34.095
- type: map_at_1000
value: 34.193
- type: map_at_3
value: 30.444
- type: map_at_5
value: 31.691999999999997
- type: mrr_at_1
value: 28.527
- type: mrr_at_10
value: 36.162
- type: mrr_at_100
value: 37.064
- type: mrr_at_1000
value: 37.124
- type: mrr_at_3
value: 33.866
- type: mrr_at_5
value: 35.026
- type: ndcg_at_1
value: 28.527
- type: ndcg_at_10
value: 37.893
- type: ndcg_at_100
value: 43.082
- type: ndcg_at_1000
value: 45.366
- type: ndcg_at_3
value: 33.062000000000005
- type: ndcg_at_5
value: 35.007
- type: precision_at_1
value: 28.527
- type: precision_at_10
value: 6.276
- type: precision_at_100
value: 0.966
- type: precision_at_1000
value: 0.125
- type: precision_at_3
value: 14.879999999999999
- type: precision_at_5
value: 10.206999999999999
- type: recall_at_1
value: 24.68
- type: recall_at_10
value: 49.8
- type: recall_at_100
value: 73.27900000000001
- type: recall_at_1000
value: 89.761
- type: recall_at_3
value: 36.428
- type: recall_at_5
value: 41.284
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 12.674
- type: map_at_10
value: 17.466
- type: map_at_100
value: 18.309
- type: map_at_1000
value: 18.415
- type: map_at_3
value: 16.072
- type: map_at_5
value: 16.835
- type: mrr_at_1
value: 13.672
- type: mrr_at_10
value: 18.602
- type: mrr_at_100
value: 19.434
- type: mrr_at_1000
value: 19.526
- type: mrr_at_3
value: 17.213
- type: mrr_at_5
value: 17.942
- type: ndcg_at_1
value: 13.672
- type: ndcg_at_10
value: 20.339
- type: ndcg_at_100
value: 24.979000000000003
- type: ndcg_at_1000
value: 28.186
- type: ndcg_at_3
value: 17.5
- type: ndcg_at_5
value: 18.791
- type: precision_at_1
value: 13.672
- type: precision_at_10
value: 3.209
- type: precision_at_100
value: 0.5890000000000001
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 7.571
- type: precision_at_5
value: 5.311
- type: recall_at_1
value: 12.674
- type: recall_at_10
value: 28.096
- type: recall_at_100
value: 50.444
- type: recall_at_1000
value: 75.581
- type: recall_at_3
value: 20.330000000000002
- type: recall_at_5
value: 23.384
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.537
- type: map_at_10
value: 9.889000000000001
- type: map_at_100
value: 10.775
- type: map_at_1000
value: 10.902000000000001
- type: map_at_3
value: 8.639
- type: map_at_5
value: 9.264
- type: mrr_at_1
value: 8.706
- type: mrr_at_10
value: 12.606
- type: mrr_at_100
value: 13.455
- type: mrr_at_1000
value: 13.557
- type: mrr_at_3
value: 11.111
- type: mrr_at_5
value: 11.801
- type: ndcg_at_1
value: 8.706
- type: ndcg_at_10
value: 12.617999999999999
- type: ndcg_at_100
value: 17.34
- type: ndcg_at_1000
value: 20.905
- type: ndcg_at_3
value: 10.027999999999999
- type: ndcg_at_5
value: 11.063
- type: precision_at_1
value: 8.706
- type: precision_at_10
value: 2.45
- type: precision_at_100
value: 0.573
- type: precision_at_1000
value: 0.10200000000000001
- type: precision_at_3
value: 4.934
- type: precision_at_5
value: 3.6319999999999997
- type: recall_at_1
value: 6.537
- type: recall_at_10
value: 18.593
- type: recall_at_100
value: 39.922999999999995
- type: recall_at_1000
value: 66.08000000000001
- type: recall_at_3
value: 11.27
- type: recall_at_5
value: 13.996
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.319
- type: map_at_10
value: 24.237000000000002
- type: map_at_100
value: 25.406000000000002
- type: map_at_1000
value: 25.554
- type: map_at_3
value: 22.032
- type: map_at_5
value: 23.258000000000003
- type: mrr_at_1
value: 22.522000000000002
- type: mrr_at_10
value: 28.764
- type: mrr_at_100
value: 29.692
- type: mrr_at_1000
value: 29.781999999999996
- type: mrr_at_3
value: 26.468000000000004
- type: mrr_at_5
value: 27.801
- type: ndcg_at_1
value: 22.522000000000002
- type: ndcg_at_10
value: 28.549999999999997
- type: ndcg_at_100
value: 34.126
- type: ndcg_at_1000
value: 37.471
- type: ndcg_at_3
value: 24.643
- type: ndcg_at_5
value: 26.537
- type: precision_at_1
value: 22.522000000000002
- type: precision_at_10
value: 5.2940000000000005
- type: precision_at_100
value: 0.97
- type: precision_at_1000
value: 0.146
- type: precision_at_3
value: 11.485
- type: precision_at_5
value: 8.508000000000001
- type: recall_at_1
value: 18.319
- type: recall_at_10
value: 37.061
- type: recall_at_100
value: 61.68
- type: recall_at_1000
value: 84.885
- type: recall_at_3
value: 26.117
- type: recall_at_5
value: 30.939
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 12.307
- type: map_at_10
value: 17.764
- type: map_at_100
value: 18.843
- type: map_at_1000
value: 18.983
- type: map_at_3
value: 15.774
- type: map_at_5
value: 16.872999999999998
- type: mrr_at_1
value: 15.753
- type: mrr_at_10
value: 21.42
- type: mrr_at_100
value: 22.351
- type: mrr_at_1000
value: 22.448999999999998
- type: mrr_at_3
value: 19.368
- type: mrr_at_5
value: 20.527
- type: ndcg_at_1
value: 15.753
- type: ndcg_at_10
value: 21.573
- type: ndcg_at_100
value: 26.994
- type: ndcg_at_1000
value: 30.407
- type: ndcg_at_3
value: 17.968
- type: ndcg_at_5
value: 19.669
- type: precision_at_1
value: 15.753
- type: precision_at_10
value: 4.144
- type: precision_at_100
value: 0.826
- type: precision_at_1000
value: 0.129
- type: precision_at_3
value: 8.638
- type: precision_at_5
value: 6.575
- type: recall_at_1
value: 12.307
- type: recall_at_10
value: 29.615000000000002
- type: recall_at_100
value: 53.729000000000006
- type: recall_at_1000
value: 77.751
- type: recall_at_3
value: 19.584
- type: recall_at_5
value: 23.923
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 13.978749999999998
- type: map_at_10
value: 19.17908333333333
- type: map_at_100
value: 20.128416666666666
- type: map_at_1000
value: 20.25808333333333
- type: map_at_3
value: 17.398
- type: map_at_5
value: 18.342999999999996
- type: mrr_at_1
value: 17.03141666666667
- type: mrr_at_10
value: 22.300083333333333
- type: mrr_at_100
value: 23.13458333333334
- type: mrr_at_1000
value: 23.222583333333333
- type: mrr_at_3
value: 20.495749999999997
- type: mrr_at_5
value: 21.48033333333333
- type: ndcg_at_1
value: 17.03141666666667
- type: ndcg_at_10
value: 22.739833333333337
- type: ndcg_at_100
value: 27.511749999999996
- type: ndcg_at_1000
value: 30.706333333333337
- type: ndcg_at_3
value: 19.47566666666667
- type: ndcg_at_5
value: 20.91025
- type: precision_at_1
value: 17.03141666666667
- type: precision_at_10
value: 4.118166666666667
- type: precision_at_100
value: 0.7796666666666667
- type: precision_at_1000
value: 0.12458333333333332
- type: precision_at_3
value: 9.0545
- type: precision_at_5
value: 6.56175
- type: recall_at_1
value: 13.978749999999998
- type: recall_at_10
value: 30.441333333333333
- type: recall_at_100
value: 52.37841666666667
- type: recall_at_1000
value: 75.46725
- type: recall_at_3
value: 21.12483333333333
- type: recall_at_5
value: 24.88366666666667
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 10.685
- type: map_at_10
value: 14.92
- type: map_at_100
value: 15.620000000000001
- type: map_at_1000
value: 15.702
- type: map_at_3
value: 13.327
- type: map_at_5
value: 14.148
- type: mrr_at_1
value: 12.73
- type: mrr_at_10
value: 16.999
- type: mrr_at_100
value: 17.727999999999998
- type: mrr_at_1000
value: 17.799
- type: mrr_at_3
value: 15.440000000000001
- type: mrr_at_5
value: 16.299
- type: ndcg_at_1
value: 12.73
- type: ndcg_at_10
value: 17.892
- type: ndcg_at_100
value: 21.819
- type: ndcg_at_1000
value: 24.238
- type: ndcg_at_3
value: 14.865999999999998
- type: ndcg_at_5
value: 16.157
- type: precision_at_1
value: 12.73
- type: precision_at_10
value: 3.16
- type: precision_at_100
value: 0.563
- type: precision_at_1000
value: 0.084
- type: precision_at_3
value: 6.902
- type: precision_at_5
value: 5.031
- type: recall_at_1
value: 10.685
- type: recall_at_10
value: 25.291999999999998
- type: recall_at_100
value: 43.815
- type: recall_at_1000
value: 62.278
- type: recall_at_3
value: 16.481
- type: recall_at_5
value: 19.869
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.295
- type: map_at_10
value: 10.568
- type: map_at_100
value: 11.224
- type: map_at_1000
value: 11.354000000000001
- type: map_at_3
value: 9.41
- type: map_at_5
value: 10.055
- type: mrr_at_1
value: 9.36
- type: mrr_at_10
value: 12.956000000000001
- type: mrr_at_100
value: 13.628000000000002
- type: mrr_at_1000
value: 13.735
- type: mrr_at_3
value: 11.608
- type: mrr_at_5
value: 12.367
- type: ndcg_at_1
value: 9.36
- type: ndcg_at_10
value: 12.992
- type: ndcg_at_100
value: 16.681
- type: ndcg_at_1000
value: 20.355
- type: ndcg_at_3
value: 10.756
- type: ndcg_at_5
value: 11.805
- type: precision_at_1
value: 9.36
- type: precision_at_10
value: 2.46
- type: precision_at_100
value: 0.523
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 5.1499999999999995
- type: precision_at_5
value: 3.882
- type: recall_at_1
value: 7.295
- type: recall_at_10
value: 18.109
- type: recall_at_100
value: 35.382000000000005
- type: recall_at_1000
value: 62.734
- type: recall_at_3
value: 11.906
- type: recall_at_5
value: 14.524999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 12.784999999999998
- type: map_at_10
value: 16.897000000000002
- type: map_at_100
value: 17.804000000000002
- type: map_at_1000
value: 17.925
- type: map_at_3
value: 15.494
- type: map_at_5
value: 16.223000000000003
- type: mrr_at_1
value: 15.485
- type: mrr_at_10
value: 20.007
- type: mrr_at_100
value: 20.882
- type: mrr_at_1000
value: 20.979
- type: mrr_at_3
value: 18.392
- type: mrr_at_5
value: 19.320999999999998
- type: ndcg_at_1
value: 15.485
- type: ndcg_at_10
value: 19.993
- type: ndcg_at_100
value: 24.945999999999998
- type: ndcg_at_1000
value: 28.233000000000004
- type: ndcg_at_3
value: 17.19
- type: ndcg_at_5
value: 18.404999999999998
- type: precision_at_1
value: 15.485
- type: precision_at_10
value: 3.3680000000000003
- type: precision_at_100
value: 0.654
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 7.805
- type: precision_at_5
value: 5.56
- type: recall_at_1
value: 12.784999999999998
- type: recall_at_10
value: 26.740000000000002
- type: recall_at_100
value: 49.907000000000004
- type: recall_at_1000
value: 73.85000000000001
- type: recall_at_3
value: 18.741
- type: recall_at_5
value: 21.894
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 15.253
- type: map_at_10
value: 20.666999999999998
- type: map_at_100
value: 21.809
- type: map_at_1000
value: 22.012
- type: map_at_3
value: 18.754
- type: map_at_5
value: 19.743
- type: mrr_at_1
value: 19.17
- type: mrr_at_10
value: 24.614
- type: mrr_at_100
value: 25.487
- type: mrr_at_1000
value: 25.575
- type: mrr_at_3
value: 22.759999999999998
- type: mrr_at_5
value: 23.818
- type: ndcg_at_1
value: 19.17
- type: ndcg_at_10
value: 24.685000000000002
- type: ndcg_at_100
value: 29.84
- type: ndcg_at_1000
value: 33.548
- type: ndcg_at_3
value: 21.569
- type: ndcg_at_5
value: 22.842000000000002
- type: precision_at_1
value: 19.17
- type: precision_at_10
value: 4.862
- type: precision_at_100
value: 1.105
- type: precision_at_1000
value: 0.2
- type: precision_at_3
value: 10.277
- type: precision_at_5
value: 7.431
- type: recall_at_1
value: 15.253
- type: recall_at_10
value: 31.858999999999998
- type: recall_at_100
value: 56.477999999999994
- type: recall_at_1000
value: 81.56099999999999
- type: recall_at_3
value: 22.11
- type: recall_at_5
value: 26.003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 9.68
- type: map_at_10
value: 14.121
- type: map_at_100
value: 14.923
- type: map_at_1000
value: 15.046999999999999
- type: map_at_3
value: 12.73
- type: map_at_5
value: 13.402
- type: mrr_at_1
value: 10.906
- type: mrr_at_10
value: 15.549
- type: mrr_at_100
value: 16.302
- type: mrr_at_1000
value: 16.407
- type: mrr_at_3
value: 13.986
- type: mrr_at_5
value: 14.743999999999998
- type: ndcg_at_1
value: 10.906
- type: ndcg_at_10
value: 17.064
- type: ndcg_at_100
value: 21.474
- type: ndcg_at_1000
value: 24.964
- type: ndcg_at_3
value: 14.069
- type: ndcg_at_5
value: 15.268999999999998
- type: precision_at_1
value: 10.906
- type: precision_at_10
value: 2.828
- type: precision_at_100
value: 0.551
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 6.1
- type: precision_at_5
value: 4.399
- type: recall_at_1
value: 9.68
- type: recall_at_10
value: 24.941
- type: recall_at_100
value: 46.189
- type: recall_at_1000
value: 72.796
- type: recall_at_3
value: 16.765
- type: recall_at_5
value: 19.55
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.151
- type: map_at_10
value: 11.699
- type: map_at_100
value: 13.213
- type: map_at_1000
value: 13.441
- type: map_at_3
value: 9.356
- type: map_at_5
value: 10.456999999999999
- type: mrr_at_1
value: 13.29
- type: mrr_at_10
value: 23.102
- type: mrr_at_100
value: 24.262
- type: mrr_at_1000
value: 24.332
- type: mrr_at_3
value: 19.75
- type: mrr_at_5
value: 21.490000000000002
- type: ndcg_at_1
value: 13.29
- type: ndcg_at_10
value: 17.761
- type: ndcg_at_100
value: 24.587
- type: ndcg_at_1000
value: 29.004
- type: ndcg_at_3
value: 13.247
- type: ndcg_at_5
value: 14.776
- type: precision_at_1
value: 13.29
- type: precision_at_10
value: 6.104
- type: precision_at_100
value: 1.343
- type: precision_at_1000
value: 0.213
- type: precision_at_3
value: 10.315000000000001
- type: precision_at_5
value: 8.352
- type: recall_at_1
value: 6.151
- type: recall_at_10
value: 23.374
- type: recall_at_100
value: 47.381
- type: recall_at_1000
value: 72.707
- type: recall_at_3
value: 12.709000000000001
- type: recall_at_5
value: 16.575
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 3.2969999999999997
- type: map_at_10
value: 8.185
- type: map_at_100
value: 11.555
- type: map_at_1000
value: 12.506
- type: map_at_3
value: 5.63
- type: map_at_5
value: 6.851
- type: mrr_at_1
value: 37.5
- type: mrr_at_10
value: 47.846
- type: mrr_at_100
value: 48.595
- type: mrr_at_1000
value: 48.619
- type: mrr_at_3
value: 44.792
- type: mrr_at_5
value: 46.367000000000004
- type: ndcg_at_1
value: 27.375
- type: ndcg_at_10
value: 21.753
- type: ndcg_at_100
value: 24.714
- type: ndcg_at_1000
value: 31.426
- type: ndcg_at_3
value: 23.781
- type: ndcg_at_5
value: 22.808
- type: precision_at_1
value: 37.5
- type: precision_at_10
value: 19.775000000000002
- type: precision_at_100
value: 6.45
- type: precision_at_1000
value: 1.434
- type: precision_at_3
value: 28.333000000000002
- type: precision_at_5
value: 24.95
- type: recall_at_1
value: 3.2969999999999997
- type: recall_at_10
value: 12.861
- type: recall_at_100
value: 31.055
- type: recall_at_1000
value: 53.855
- type: recall_at_3
value: 6.848999999999999
- type: recall_at_5
value: 9.328
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 45.91
- type: f1
value: 41.614000185716236
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 14.413
- type: map_at_10
value: 21.197
- type: map_at_100
value: 22.116
- type: map_at_1000
value: 22.186
- type: map_at_3
value: 18.867
- type: map_at_5
value: 20.154
- type: mrr_at_1
value: 15.302
- type: mrr_at_10
value: 22.462
- type: mrr_at_100
value: 23.391000000000002
- type: mrr_at_1000
value: 23.452
- type: mrr_at_3
value: 20.012
- type: mrr_at_5
value: 21.38
- type: ndcg_at_1
value: 15.302
- type: ndcg_at_10
value: 25.458
- type: ndcg_at_100
value: 30.144
- type: ndcg_at_1000
value: 32.124
- type: ndcg_at_3
value: 20.638
- type: ndcg_at_5
value: 22.964000000000002
- type: precision_at_1
value: 15.302
- type: precision_at_10
value: 4.086
- type: precision_at_100
value: 0.662
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 8.806
- type: precision_at_5
value: 6.514
- type: recall_at_1
value: 14.413
- type: recall_at_10
value: 37.682
- type: recall_at_100
value: 59.521
- type: recall_at_1000
value: 74.95100000000001
- type: recall_at_3
value: 24.618000000000002
- type: recall_at_5
value: 30.186
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 6.948
- type: map_at_10
value: 11.461
- type: map_at_100
value: 12.565000000000001
- type: map_at_1000
value: 12.76
- type: map_at_3
value: 9.679
- type: map_at_5
value: 10.59
- type: mrr_at_1
value: 13.58
- type: mrr_at_10
value: 19.377
- type: mrr_at_100
value: 20.435
- type: mrr_at_1000
value: 20.526
- type: mrr_at_3
value: 17.000999999999998
- type: mrr_at_5
value: 18.374
- type: ndcg_at_1
value: 13.58
- type: ndcg_at_10
value: 15.756999999999998
- type: ndcg_at_100
value: 21.529999999999998
- type: ndcg_at_1000
value: 25.956000000000003
- type: ndcg_at_3
value: 12.848
- type: ndcg_at_5
value: 13.998
- type: precision_at_1
value: 13.58
- type: precision_at_10
value: 4.491
- type: precision_at_100
value: 1.035
- type: precision_at_1000
value: 0.182
- type: precision_at_3
value: 8.385
- type: precision_at_5
value: 6.6049999999999995
- type: recall_at_1
value: 6.948
- type: recall_at_10
value: 20.569000000000003
- type: recall_at_100
value: 43.488
- type: recall_at_1000
value: 70.87400000000001
- type: recall_at_3
value: 12.17
- type: recall_at_5
value: 15.495999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 14.854999999999999
- type: map_at_10
value: 21.003
- type: map_at_100
value: 21.797
- type: map_at_1000
value: 21.904
- type: map_at_3
value: 19.258
- type: map_at_5
value: 20.188
- type: mrr_at_1
value: 29.709999999999997
- type: mrr_at_10
value: 36.414
- type: mrr_at_100
value: 37.113
- type: mrr_at_1000
value: 37.179
- type: mrr_at_3
value: 34.542
- type: mrr_at_5
value: 35.619
- type: ndcg_at_1
value: 29.709999999999997
- type: ndcg_at_10
value: 27.198
- type: ndcg_at_100
value: 31.052999999999997
- type: ndcg_at_1000
value: 33.757
- type: ndcg_at_3
value: 23.775
- type: ndcg_at_5
value: 25.399
- type: precision_at_1
value: 29.709999999999997
- type: precision_at_10
value: 6.078
- type: precision_at_100
value: 0.919
- type: precision_at_1000
value: 0.128
- type: precision_at_3
value: 15.093
- type: precision_at_5
value: 10.344000000000001
- type: recall_at_1
value: 14.854999999999999
- type: recall_at_10
value: 30.392000000000003
- type: recall_at_100
value: 45.949
- type: recall_at_1000
value: 64.078
- type: recall_at_3
value: 22.64
- type: recall_at_5
value: 25.861
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 66.3596
- type: ap
value: 60.91255566890042
- type: f1
value: 66.1523853101571
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.046
- type: map_at_10
value: 10.651
- type: map_at_100
value: 11.505
- type: map_at_1000
value: 11.61
- type: map_at_3
value: 8.959999999999999
- type: map_at_5
value: 9.843
- type: mrr_at_1
value: 6.261
- type: mrr_at_10
value: 10.934000000000001
- type: mrr_at_100
value: 11.795
- type: mrr_at_1000
value: 11.897
- type: mrr_at_3
value: 9.205
- type: mrr_at_5
value: 10.112
- type: ndcg_at_1
value: 6.246
- type: ndcg_at_10
value: 13.559
- type: ndcg_at_100
value: 18.291
- type: ndcg_at_1000
value: 21.503
- type: ndcg_at_3
value: 10.012
- type: ndcg_at_5
value: 11.605
- type: precision_at_1
value: 6.246
- type: precision_at_10
value: 2.357
- type: precision_at_100
value: 0.481
- type: precision_at_1000
value: 0.076
- type: precision_at_3
value: 4.436
- type: precision_at_5
value: 3.4610000000000003
- type: recall_at_1
value: 6.046
- type: recall_at_10
value: 22.621
- type: recall_at_100
value: 45.829
- type: recall_at_1000
value: 71.735
- type: recall_at_3
value: 12.826
- type: recall_at_5
value: 16.658
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 88.10989512083903
- type: f1
value: 87.64152476625755
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 57.87505699954399
- type: f1
value: 40.00822983589675
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 63.21788836583726
- type: f1
value: 61.64373490787742
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 72.50168123739071
- type: f1
value: 71.25047204682383
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 29.30894849088611
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 27.369395178404975
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.225892079841838
- type: mrr
value: 31.239259568046673
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.115
- type: map_at_10
value: 7.8149999999999995
- type: map_at_100
value: 9.962
- type: map_at_1000
value: 11.253
- type: map_at_3
value: 6.014
- type: map_at_5
value: 6.874
- type: mrr_at_1
value: 32.198
- type: mrr_at_10
value: 42.025
- type: mrr_at_100
value: 42.875
- type: mrr_at_1000
value: 42.925999999999995
- type: mrr_at_3
value: 39.318999999999996
- type: mrr_at_5
value: 41.192
- type: ndcg_at_1
value: 30.186
- type: ndcg_at_10
value: 24.194
- type: ndcg_at_100
value: 23.426
- type: ndcg_at_1000
value: 32.955
- type: ndcg_at_3
value: 27.528999999999996
- type: ndcg_at_5
value: 26.295
- type: precision_at_1
value: 32.198
- type: precision_at_10
value: 17.740000000000002
- type: precision_at_100
value: 6.433
- type: precision_at_1000
value: 1.9609999999999999
- type: precision_at_3
value: 26.006
- type: precision_at_5
value: 22.786
- type: recall_at_1
value: 4.115
- type: recall_at_10
value: 11.774
- type: recall_at_100
value: 26.046999999999997
- type: recall_at_1000
value: 60.171
- type: recall_at_3
value: 6.935
- type: recall_at_5
value: 8.958
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 7.959
- type: map_at_10
value: 13.771
- type: map_at_100
value: 14.954
- type: map_at_1000
value: 15.061
- type: map_at_3
value: 11.548
- type: map_at_5
value: 12.686
- type: mrr_at_1
value: 9.067
- type: mrr_at_10
value: 15.262
- type: mrr_at_100
value: 16.358
- type: mrr_at_1000
value: 16.447
- type: mrr_at_3
value: 12.895999999999999
- type: mrr_at_5
value: 14.13
- type: ndcg_at_1
value: 9.067
- type: ndcg_at_10
value: 17.711
- type: ndcg_at_100
value: 23.771
- type: ndcg_at_1000
value: 26.695
- type: ndcg_at_3
value: 13.04
- type: ndcg_at_5
value: 15.098
- type: precision_at_1
value: 9.067
- type: precision_at_10
value: 3.36
- type: precision_at_100
value: 0.6819999999999999
- type: precision_at_1000
value: 0.096
- type: precision_at_3
value: 6.132
- type: precision_at_5
value: 4.832
- type: recall_at_1
value: 7.959
- type: recall_at_10
value: 28.529
- type: recall_at_100
value: 56.747
- type: recall_at_1000
value: 79.251
- type: recall_at_3
value: 16.066
- type: recall_at_5
value: 20.836
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 63.468999999999994
- type: map_at_10
value: 76.363
- type: map_at_100
value: 77.13799999999999
- type: map_at_1000
value: 77.169
- type: map_at_3
value: 73.303
- type: map_at_5
value: 75.139
- type: mrr_at_1
value: 73.09
- type: mrr_at_10
value: 80.379
- type: mrr_at_100
value: 80.632
- type: mrr_at_1000
value: 80.637
- type: mrr_at_3
value: 78.9
- type: mrr_at_5
value: 79.83200000000001
- type: ndcg_at_1
value: 73.14
- type: ndcg_at_10
value: 80.99
- type: ndcg_at_100
value: 83.086
- type: ndcg_at_1000
value: 83.421
- type: ndcg_at_3
value: 77.263
- type: ndcg_at_5
value: 79.175
- type: precision_at_1
value: 73.14
- type: precision_at_10
value: 12.324
- type: precision_at_100
value: 1.469
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 33.562999999999995
- type: precision_at_5
value: 22.259999999999998
- type: recall_at_1
value: 63.468999999999994
- type: recall_at_10
value: 89.997
- type: recall_at_100
value: 97.87
- type: recall_at_1000
value: 99.714
- type: recall_at_3
value: 79.45100000000001
- type: recall_at_5
value: 84.652
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 40.96803215988553
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 44.76290891260663
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.118
- type: map_at_10
value: 7.127999999999999
- type: map_at_100
value: 8.551
- type: map_at_1000
value: 8.819
- type: map_at_3
value: 5.269
- type: map_at_5
value: 6.136
- type: mrr_at_1
value: 15.299999999999999
- type: mrr_at_10
value: 23.138
- type: mrr_at_100
value: 24.354
- type: mrr_at_1000
value: 24.449
- type: mrr_at_3
value: 20.349999999999998
- type: mrr_at_5
value: 21.875
- type: ndcg_at_1
value: 15.299999999999999
- type: ndcg_at_10
value: 12.7
- type: ndcg_at_100
value: 19.177
- type: ndcg_at_1000
value: 24.578
- type: ndcg_at_3
value: 12.076
- type: ndcg_at_5
value: 10.446
- type: precision_at_1
value: 15.299999999999999
- type: precision_at_10
value: 6.5600000000000005
- type: precision_at_100
value: 1.598
- type: precision_at_1000
value: 0.29
- type: precision_at_3
value: 11.200000000000001
- type: precision_at_5
value: 9.04
- type: recall_at_1
value: 3.118
- type: recall_at_10
value: 13.297999999999998
- type: recall_at_100
value: 32.427
- type: recall_at_1000
value: 58.885
- type: recall_at_3
value: 6.827999999999999
- type: recall_at_5
value: 9.173
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.43930654983161
- type: cos_sim_spearman
value: 64.67852678771158
- type: euclidean_pearson
value: 71.3061879333313
- type: euclidean_spearman
value: 64.67866157468679
- type: manhattan_pearson
value: 69.51075530995897
- type: manhattan_spearman
value: 63.82662313156165
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 73.65362279607574
- type: cos_sim_spearman
value: 64.97375169407779
- type: euclidean_pearson
value: 70.50786081642359
- type: euclidean_spearman
value: 64.97517508701773
- type: manhattan_pearson
value: 69.51012145127774
- type: manhattan_spearman
value: 64.81905653953442
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 75.02560272667618
- type: cos_sim_spearman
value: 76.85285173868739
- type: euclidean_pearson
value: 76.51659956643294
- type: euclidean_spearman
value: 76.85288956038684
- type: manhattan_pearson
value: 77.15391795740369
- type: manhattan_spearman
value: 77.55482712197826
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 75.88413419187634
- type: cos_sim_spearman
value: 71.81224584659623
- type: euclidean_pearson
value: 75.30536428389317
- type: euclidean_spearman
value: 71.81223615883246
- type: manhattan_pearson
value: 74.49619807839628
- type: manhattan_spearman
value: 71.45719514379861
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 78.17595987680231
- type: cos_sim_spearman
value: 79.69244239201231
- type: euclidean_pearson
value: 79.76482765319105
- type: euclidean_spearman
value: 79.69243514352287
- type: manhattan_pearson
value: 78.95938461387554
- type: manhattan_spearman
value: 79.12374541215064
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 74.19691031147148
- type: cos_sim_spearman
value: 75.6670693739496
- type: euclidean_pearson
value: 75.83043624320031
- type: euclidean_spearman
value: 75.66761977438898
- type: manhattan_pearson
value: 75.77299348357039
- type: manhattan_spearman
value: 75.55171542186395
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 81.6132447770844
- type: cos_sim_spearman
value: 82.86761864975185
- type: euclidean_pearson
value: 82.79978751053565
- type: euclidean_spearman
value: 82.8684934691074
- type: manhattan_pearson
value: 82.34063577443474
- type: manhattan_spearman
value: 82.44500370747792
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 57.122789236461344
- type: cos_sim_spearman
value: 59.32471385840999
- type: euclidean_pearson
value: 60.436929454793386
- type: euclidean_spearman
value: 59.32471385840999
- type: manhattan_pearson
value: 62.55817551321529
- type: manhattan_spearman
value: 60.72936294004832
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 75.51421130475329
- type: cos_sim_spearman
value: 74.18767551459518
- type: euclidean_pearson
value: 76.30778235018026
- type: euclidean_spearman
value: 74.18769398451926
- type: manhattan_pearson
value: 75.98020747073735
- type: manhattan_spearman
value: 74.1108346690318
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 74.72194768168208
- type: mrr
value: 91.43610293120096
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 30.528
- type: map_at_10
value: 39.351
- type: map_at_100
value: 40.461000000000006
- type: map_at_1000
value: 40.535
- type: map_at_3
value: 36.741
- type: map_at_5
value: 38.588
- type: mrr_at_1
value: 32.667
- type: mrr_at_10
value: 41.123
- type: mrr_at_100
value: 42.135
- type: mrr_at_1000
value: 42.197
- type: mrr_at_3
value: 38.944
- type: mrr_at_5
value: 40.528
- type: ndcg_at_1
value: 32.667
- type: ndcg_at_10
value: 44.06
- type: ndcg_at_100
value: 49.599
- type: ndcg_at_1000
value: 51.573
- type: ndcg_at_3
value: 39.373999999999995
- type: ndcg_at_5
value: 42.393
- type: precision_at_1
value: 32.667
- type: precision_at_10
value: 6.267
- type: precision_at_100
value: 0.9329999999999999
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 16.111
- type: precision_at_5
value: 11.267000000000001
- type: recall_at_1
value: 30.528
- type: recall_at_10
value: 56.77799999999999
- type: recall_at_100
value: 82.73899999999999
- type: recall_at_1000
value: 98.2
- type: recall_at_3
value: 44.806000000000004
- type: recall_at_5
value: 52
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.71386138613862
- type: cos_sim_ap
value: 91.49236791906557
- type: cos_sim_f1
value: 85.24262131065534
- type: cos_sim_precision
value: 85.28528528528528
- type: cos_sim_recall
value: 85.2
- type: dot_accuracy
value: 99.71386138613862
- type: dot_ap
value: 91.49236791906557
- type: dot_f1
value: 85.24262131065534
- type: dot_precision
value: 85.28528528528528
- type: dot_recall
value: 85.2
- type: euclidean_accuracy
value: 99.71386138613862
- type: euclidean_ap
value: 91.49236791906557
- type: euclidean_f1
value: 85.24262131065534
- type: euclidean_precision
value: 85.28528528528528
- type: euclidean_recall
value: 85.2
- type: manhattan_accuracy
value: 99.74356435643564
- type: manhattan_ap
value: 92.92378153295812
- type: manhattan_f1
value: 86.91358024691358
- type: manhattan_precision
value: 85.85365853658537
- type: manhattan_recall
value: 88
- type: max_accuracy
value: 99.74356435643564
- type: max_ap
value: 92.92378153295812
- type: max_f1
value: 86.91358024691358
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 46.49650440995953
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 30.729040984470192
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 42.340961146720595
- type: mrr
value: 42.78318903318903
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 31.518691188419957
- type: cos_sim_spearman
value: 31.803967934264456
- type: dot_pearson
value: 31.518690928671965
- type: dot_spearman
value: 31.787757429064612
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.146
- type: map_at_10
value: 0.9169999999999999
- type: map_at_100
value: 4.661
- type: map_at_1000
value: 11.487
- type: map_at_3
value: 0.332
- type: map_at_5
value: 0.503
- type: mrr_at_1
value: 54
- type: mrr_at_10
value: 66.813
- type: mrr_at_100
value: 67.338
- type: mrr_at_1000
value: 67.338
- type: mrr_at_3
value: 64.333
- type: mrr_at_5
value: 65.833
- type: ndcg_at_1
value: 50
- type: ndcg_at_10
value: 45.345
- type: ndcg_at_100
value: 34.175
- type: ndcg_at_1000
value: 31.346
- type: ndcg_at_3
value: 47.038999999999994
- type: ndcg_at_5
value: 47.219
- type: precision_at_1
value: 56.00000000000001
- type: precision_at_10
value: 50
- type: precision_at_100
value: 36.24
- type: precision_at_1000
value: 15.129999999999999
- type: precision_at_3
value: 52.666999999999994
- type: precision_at_5
value: 52
- type: recall_at_1
value: 0.146
- type: recall_at_10
value: 1.216
- type: recall_at_100
value: 7.892
- type: recall_at_1000
value: 30.56
- type: recall_at_3
value: 0.379
- type: recall_at_5
value: 0.61
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.0140000000000002
- type: map_at_10
value: 6.574000000000001
- type: map_at_100
value: 12.025
- type: map_at_1000
value: 13.649000000000001
- type: map_at_3
value: 3.5450000000000004
- type: map_at_5
value: 4.903
- type: mrr_at_1
value: 28.571
- type: mrr_at_10
value: 40.943000000000005
- type: mrr_at_100
value: 42.535000000000004
- type: mrr_at_1000
value: 42.535000000000004
- type: mrr_at_3
value: 37.075
- type: mrr_at_5
value: 38.81
- type: ndcg_at_1
value: 27.551
- type: ndcg_at_10
value: 19.471
- type: ndcg_at_100
value: 32.823
- type: ndcg_at_1000
value: 44.644
- type: ndcg_at_3
value: 21.255
- type: ndcg_at_5
value: 21.438
- type: precision_at_1
value: 28.571
- type: precision_at_10
value: 17.347
- type: precision_at_100
value: 7.5920000000000005
- type: precision_at_1000
value: 1.508
- type: precision_at_3
value: 21.088
- type: precision_at_5
value: 21.633
- type: recall_at_1
value: 2.0140000000000002
- type: recall_at_10
value: 11.748
- type: recall_at_100
value: 46.436
- type: recall_at_1000
value: 82.16799999999999
- type: recall_at_3
value: 4.4990000000000006
- type: recall_at_5
value: 7.423
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 70.5234
- type: ap
value: 14.633576385764599
- type: f1
value: 54.63581892147792
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 56.57894736842105
- type: f1
value: 56.73891238797681
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 38.4061559598505
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.92900995410383
- type: cos_sim_ap
value: 62.43405323490786
- type: cos_sim_f1
value: 60.06760019314341
- type: cos_sim_precision
value: 55.36270582999555
- type: cos_sim_recall
value: 65.64643799472294
- type: dot_accuracy
value: 82.92900995410383
- type: dot_ap
value: 62.43405323490786
- type: dot_f1
value: 60.06760019314341
- type: dot_precision
value: 55.36270582999555
- type: dot_recall
value: 65.64643799472294
- type: euclidean_accuracy
value: 82.92900995410383
- type: euclidean_ap
value: 62.43405323490786
- type: euclidean_f1
value: 60.06760019314341
- type: euclidean_precision
value: 55.36270582999555
- type: euclidean_recall
value: 65.64643799472294
- type: manhattan_accuracy
value: 82.14221851344102
- type: manhattan_ap
value: 60.311627003336824
- type: manhattan_f1
value: 58.30150527971243
- type: manhattan_precision
value: 50.762910798122064
- type: manhattan_recall
value: 68.46965699208444
- type: max_accuracy
value: 82.92900995410383
- type: max_ap
value: 62.43405323490786
- type: max_f1
value: 60.06760019314341
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.08813598789149
- type: cos_sim_ap
value: 82.16719168081325
- type: cos_sim_f1
value: 74.65280302479458
- type: cos_sim_precision
value: 70.71910731505717
- type: cos_sim_recall
value: 79.04989220819218
- type: dot_accuracy
value: 87.08813598789149
- type: dot_ap
value: 82.16719168228374
- type: dot_f1
value: 74.65280302479458
- type: dot_precision
value: 70.71910731505717
- type: dot_recall
value: 79.04989220819218
- type: euclidean_accuracy
value: 87.08813598789149
- type: euclidean_ap
value: 82.16720008129118
- type: euclidean_f1
value: 74.65280302479458
- type: euclidean_precision
value: 70.71910731505717
- type: euclidean_recall
value: 79.04989220819218
- type: manhattan_accuracy
value: 87.16963558039352
- type: manhattan_ap
value: 82.17943816238372
- type: manhattan_f1
value: 74.91245171305823
- type: manhattan_precision
value: 70.52545714091497
- type: manhattan_recall
value: 79.88142901139513
- type: max_accuracy
value: 87.16963558039352
- type: max_ap
value: 82.17943816238372
- type: max_f1
value: 74.91245171305823