metadata
tags:
- mteb
model-index:
- name: unsup-simcse
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 74.8358208955224
- type: ap
value: 37.70683035233076
- type: f1
value: 68.78678023266646
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 63.304125
- type: ap
value: 58.4635579061818
- type: f1
value: 63.21775726536531
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 32.21
- type: f1
value: 31.70875045143009
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 18.137
- type: map_at_10
value: 30.755
- type: map_at_100
value: 32.064
- type: map_at_1000
value: 32.1
- type: map_at_3
value: 26.529000000000003
- type: map_at_5
value: 28.993999999999996
- type: mrr_at_1
value: 18.563
- type: mrr_at_10
value: 30.915
- type: mrr_at_100
value: 32.225
- type: mrr_at_1000
value: 32.26
- type: mrr_at_3
value: 26.730999999999998
- type: mrr_at_5
value: 29.17
- type: ndcg_at_1
value: 18.137
- type: ndcg_at_10
value: 38.043
- type: ndcg_at_100
value: 44.436
- type: ndcg_at_1000
value: 45.349000000000004
- type: ndcg_at_3
value: 29.404000000000003
- type: ndcg_at_5
value: 33.851
- type: precision_at_1
value: 18.137
- type: precision_at_10
value: 6.138
- type: precision_at_100
value: 0.9129999999999999
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 12.589
- type: precision_at_5
value: 9.716
- type: recall_at_1
value: 18.137
- type: recall_at_10
value: 61.38
- type: recall_at_100
value: 91.252
- type: recall_at_1000
value: 98.36399999999999
- type: recall_at_3
value: 37.767
- type: recall_at_5
value: 48.577999999999996
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 32.293280401731245
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 23.868651645200988
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 51.507998420651354
- type: mrr
value: 64.7392604317812
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 75.4902994498795
- type: cos_sim_spearman
value: 75.32641515864982
- type: euclidean_pearson
value: 74.58993168066989
- type: euclidean_spearman
value: 75.32641515864982
- type: manhattan_pearson
value: 75.11085698985096
- type: manhattan_spearman
value: 75.85413802654686
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 67.07467532467533
- type: f1
value: 65.89351970361722
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 30.325700297722353
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 21.618349077104433
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 18.523
- type: map_at_10
value: 25.218
- type: map_at_100
value: 26.090999999999998
- type: map_at_1000
value: 26.228
- type: map_at_3
value: 23.147000000000002
- type: map_at_5
value: 24.333
- type: mrr_at_1
value: 23.462
- type: mrr_at_10
value: 29.907
- type: mrr_at_100
value: 30.684
- type: mrr_at_1000
value: 30.757
- type: mrr_at_3
value: 28.112
- type: mrr_at_5
value: 29.092000000000002
- type: ndcg_at_1
value: 23.462
- type: ndcg_at_10
value: 29.53
- type: ndcg_at_100
value: 33.812
- type: ndcg_at_1000
value: 36.941
- type: ndcg_at_3
value: 26.531
- type: ndcg_at_5
value: 27.904
- type: precision_at_1
value: 23.462
- type: precision_at_10
value: 5.608
- type: precision_at_100
value: 0.946
- type: precision_at_1000
value: 0.149
- type: precision_at_3
value: 13.019
- type: precision_at_5
value: 9.27
- type: recall_at_1
value: 18.523
- type: recall_at_10
value: 37.364999999999995
- type: recall_at_100
value: 57.033
- type: recall_at_1000
value: 78.625
- type: recall_at_3
value: 27.863
- type: recall_at_5
value: 32.196000000000005
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 16.101
- type: map_at_10
value: 21.261
- type: map_at_100
value: 22.205
- type: map_at_1000
value: 22.319
- type: map_at_3
value: 19.509
- type: map_at_5
value: 20.471
- type: mrr_at_1
value: 20.318
- type: mrr_at_10
value: 25.574
- type: mrr_at_100
value: 26.36
- type: mrr_at_1000
value: 26.436
- type: mrr_at_3
value: 23.822
- type: mrr_at_5
value: 24.79
- type: ndcg_at_1
value: 20.318
- type: ndcg_at_10
value: 24.859
- type: ndcg_at_100
value: 29.217
- type: ndcg_at_1000
value: 31.979000000000003
- type: ndcg_at_3
value: 21.906
- type: ndcg_at_5
value: 23.188
- type: precision_at_1
value: 20.318
- type: precision_at_10
value: 4.682
- type: precision_at_100
value: 0.8670000000000001
- type: precision_at_1000
value: 0.133
- type: precision_at_3
value: 10.552
- type: precision_at_5
value: 7.452
- type: recall_at_1
value: 16.101
- type: recall_at_10
value: 31.256
- type: recall_at_100
value: 50.562
- type: recall_at_1000
value: 69.704
- type: recall_at_3
value: 22.657
- type: recall_at_5
value: 26.301000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 21.956
- type: map_at_10
value: 29.03
- type: map_at_100
value: 29.964000000000002
- type: map_at_1000
value: 30.059
- type: map_at_3
value: 26.793
- type: map_at_5
value: 28.136
- type: mrr_at_1
value: 25.517
- type: mrr_at_10
value: 32.213
- type: mrr_at_100
value: 33.019999999999996
- type: mrr_at_1000
value: 33.094
- type: mrr_at_3
value: 30.166999999999998
- type: mrr_at_5
value: 31.427
- type: ndcg_at_1
value: 25.517
- type: ndcg_at_10
value: 33.165
- type: ndcg_at_100
value: 37.781
- type: ndcg_at_1000
value: 40.303
- type: ndcg_at_3
value: 29.095
- type: ndcg_at_5
value: 31.223
- type: precision_at_1
value: 25.517
- type: precision_at_10
value: 5.361
- type: precision_at_100
value: 0.8330000000000001
- type: precision_at_1000
value: 0.11299999999999999
- type: precision_at_3
value: 12.831999999999999
- type: precision_at_5
value: 9.103
- type: recall_at_1
value: 21.956
- type: recall_at_10
value: 42.634
- type: recall_at_100
value: 63.774
- type: recall_at_1000
value: 82.548
- type: recall_at_3
value: 31.813000000000002
- type: recall_at_5
value: 36.992000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 8.831999999999999
- type: map_at_10
value: 12.455
- type: map_at_100
value: 13.142000000000001
- type: map_at_1000
value: 13.238
- type: map_at_3
value: 10.995000000000001
- type: map_at_5
value: 11.837
- type: mrr_at_1
value: 9.605
- type: mrr_at_10
value: 13.444999999999999
- type: mrr_at_100
value: 14.119000000000002
- type: mrr_at_1000
value: 14.21
- type: mrr_at_3
value: 11.902
- type: mrr_at_5
value: 12.817
- type: ndcg_at_1
value: 9.605
- type: ndcg_at_10
value: 14.899000000000001
- type: ndcg_at_100
value: 18.788
- type: ndcg_at_1000
value: 21.861
- type: ndcg_at_3
value: 11.923
- type: ndcg_at_5
value: 13.420000000000002
- type: precision_at_1
value: 9.605
- type: precision_at_10
value: 2.4410000000000003
- type: precision_at_100
value: 0.46299999999999997
- type: precision_at_1000
value: 0.077
- type: precision_at_3
value: 5.009
- type: precision_at_5
value: 3.7969999999999997
- type: recall_at_1
value: 8.831999999999999
- type: recall_at_10
value: 21.626
- type: recall_at_100
value: 40.585
- type: recall_at_1000
value: 64.842
- type: recall_at_3
value: 13.719000000000001
- type: recall_at_5
value: 17.222
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 5.013999999999999
- type: map_at_10
value: 7.323
- type: map_at_100
value: 7.921
- type: map_at_1000
value: 8.044
- type: map_at_3
value: 6.389
- type: map_at_5
value: 6.958
- type: mrr_at_1
value: 6.715999999999999
- type: mrr_at_10
value: 9.33
- type: mrr_at_100
value: 10.03
- type: mrr_at_1000
value: 10.133000000000001
- type: mrr_at_3
value: 8.354000000000001
- type: mrr_at_5
value: 8.895
- type: ndcg_at_1
value: 6.715999999999999
- type: ndcg_at_10
value: 9.146
- type: ndcg_at_100
value: 12.703000000000001
- type: ndcg_at_1000
value: 16.246
- type: ndcg_at_3
value: 7.376
- type: ndcg_at_5
value: 8.27
- type: precision_at_1
value: 6.715999999999999
- type: precision_at_10
value: 1.729
- type: precision_at_100
value: 0.422
- type: precision_at_1000
value: 0.084
- type: precision_at_3
value: 3.6479999999999997
- type: precision_at_5
value: 2.7359999999999998
- type: recall_at_1
value: 5.013999999999999
- type: recall_at_10
value: 12.928
- type: recall_at_100
value: 29.298000000000002
- type: recall_at_1000
value: 55.632000000000005
- type: recall_at_3
value: 8.011
- type: recall_at_5
value: 10.333
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 15.629999999999999
- type: map_at_10
value: 20.529
- type: map_at_100
value: 21.555
- type: map_at_1000
value: 21.688
- type: map_at_3
value: 18.733
- type: map_at_5
value: 19.761
- type: mrr_at_1
value: 19.057
- type: mrr_at_10
value: 24.482
- type: mrr_at_100
value: 25.348
- type: mrr_at_1000
value: 25.436999999999998
- type: mrr_at_3
value: 22.698
- type: mrr_at_5
value: 23.766000000000002
- type: ndcg_at_1
value: 19.057
- type: ndcg_at_10
value: 24.121000000000002
- type: ndcg_at_100
value: 29.215000000000003
- type: ndcg_at_1000
value: 32.506
- type: ndcg_at_3
value: 21.096999999999998
- type: ndcg_at_5
value: 22.546
- type: precision_at_1
value: 19.057
- type: precision_at_10
value: 4.389
- type: precision_at_100
value: 0.83
- type: precision_at_1000
value: 0.13
- type: precision_at_3
value: 9.881
- type: precision_at_5
value: 7.161
- type: recall_at_1
value: 15.629999999999999
- type: recall_at_10
value: 31.217
- type: recall_at_100
value: 53.800000000000004
- type: recall_at_1000
value: 77.012
- type: recall_at_3
value: 22.416
- type: recall_at_5
value: 26.368000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 11.217
- type: map_at_10
value: 15.401000000000002
- type: map_at_100
value: 16.187
- type: map_at_1000
value: 16.314999999999998
- type: map_at_3
value: 14.030000000000001
- type: map_at_5
value: 14.784
- type: mrr_at_1
value: 14.041
- type: mrr_at_10
value: 18.81
- type: mrr_at_100
value: 19.534000000000002
- type: mrr_at_1000
value: 19.628
- type: mrr_at_3
value: 17.314
- type: mrr_at_5
value: 18.232
- type: ndcg_at_1
value: 14.041
- type: ndcg_at_10
value: 18.457
- type: ndcg_at_100
value: 22.616
- type: ndcg_at_1000
value: 25.991999999999997
- type: ndcg_at_3
value: 15.943999999999999
- type: ndcg_at_5
value: 17.096
- type: precision_at_1
value: 14.041
- type: precision_at_10
value: 3.39
- type: precision_at_100
value: 0.651
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 7.534000000000001
- type: precision_at_5
value: 5.525
- type: recall_at_1
value: 11.217
- type: recall_at_10
value: 24.568
- type: recall_at_100
value: 43.454
- type: recall_at_1000
value: 67.69
- type: recall_at_3
value: 17.413
- type: recall_at_5
value: 20.383000000000003
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 12.025
- type: map_at_10
value: 16.28216666666667
- type: map_at_100
value: 17.044916666666666
- type: map_at_1000
value: 17.159416666666665
- type: map_at_3
value: 14.794166666666667
- type: map_at_5
value: 15.65475
- type: mrr_at_1
value: 14.642249999999999
- type: mrr_at_10
value: 19.092833333333335
- type: mrr_at_100
value: 19.81375
- type: mrr_at_1000
value: 19.901249999999997
- type: mrr_at_3
value: 17.602999999999998
- type: mrr_at_5
value: 18.462083333333336
- type: ndcg_at_1
value: 14.642249999999999
- type: ndcg_at_10
value: 19.229916666666664
- type: ndcg_at_100
value: 23.18841666666667
- type: ndcg_at_1000
value: 26.286000000000005
- type: ndcg_at_3
value: 16.579916666666666
- type: ndcg_at_5
value: 17.851583333333334
- type: precision_at_1
value: 14.642249999999999
- type: precision_at_10
value: 3.4223333333333334
- type: precision_at_100
value: 0.6358333333333333
- type: precision_at_1000
value: 0.10575000000000001
- type: precision_at_3
value: 7.6842500000000005
- type: precision_at_5
value: 5.5715
- type: recall_at_1
value: 12.025
- type: recall_at_10
value: 25.470750000000002
- type: recall_at_100
value: 43.7285
- type: recall_at_1000
value: 66.525
- type: recall_at_3
value: 17.878083333333336
- type: recall_at_5
value: 21.252750000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 8.567
- type: map_at_10
value: 11.591
- type: map_at_100
value: 12.248000000000001
- type: map_at_1000
value: 12.318999999999999
- type: map_at_3
value: 10.456999999999999
- type: map_at_5
value: 11.020000000000001
- type: mrr_at_1
value: 10.428999999999998
- type: mrr_at_10
value: 13.758000000000001
- type: mrr_at_100
value: 14.363000000000001
- type: mrr_at_1000
value: 14.427000000000001
- type: mrr_at_3
value: 12.577
- type: mrr_at_5
value: 13.167000000000002
- type: ndcg_at_1
value: 10.428999999999998
- type: ndcg_at_10
value: 13.911999999999999
- type: ndcg_at_100
value: 17.307
- type: ndcg_at_1000
value: 19.478
- type: ndcg_at_3
value: 11.659
- type: ndcg_at_5
value: 12.555
- type: precision_at_1
value: 10.428999999999998
- type: precision_at_10
value: 2.423
- type: precision_at_100
value: 0.449
- type: precision_at_1000
value: 0.06899999999999999
- type: precision_at_3
value: 5.317
- type: precision_at_5
value: 3.804
- type: recall_at_1
value: 8.567
- type: recall_at_10
value: 19.122
- type: recall_at_100
value: 35.021
- type: recall_at_1000
value: 51.857
- type: recall_at_3
value: 12.696
- type: recall_at_5
value: 15.015
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 6.414000000000001
- type: map_at_10
value: 9.049999999999999
- type: map_at_100
value: 9.587
- type: map_at_1000
value: 9.689
- type: map_at_3
value: 8.113
- type: map_at_5
value: 8.591
- type: mrr_at_1
value: 8.19
- type: mrr_at_10
value: 11.232000000000001
- type: mrr_at_100
value: 11.799
- type: mrr_at_1000
value: 11.888
- type: mrr_at_3
value: 10.145999999999999
- type: mrr_at_5
value: 10.691
- type: ndcg_at_1
value: 8.19
- type: ndcg_at_10
value: 11.1
- type: ndcg_at_100
value: 14.074
- type: ndcg_at_1000
value: 17.169
- type: ndcg_at_3
value: 9.302000000000001
- type: ndcg_at_5
value: 10.034
- type: precision_at_1
value: 8.19
- type: precision_at_10
value: 2.072
- type: precision_at_100
value: 0.42900000000000005
- type: precision_at_1000
value: 0.083
- type: precision_at_3
value: 4.393
- type: precision_at_5
value: 3.2140000000000004
- type: recall_at_1
value: 6.414000000000001
- type: recall_at_10
value: 15.354999999999999
- type: recall_at_100
value: 29.186
- type: recall_at_1000
value: 52.445
- type: recall_at_3
value: 10.197000000000001
- type: recall_at_5
value: 12.136
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 10.596
- type: map_at_10
value: 13.754
- type: map_at_100
value: 14.362
- type: map_at_1000
value: 14.472
- type: map_at_3
value: 12.450999999999999
- type: map_at_5
value: 13.156
- type: mrr_at_1
value: 12.592999999999998
- type: mrr_at_10
value: 15.906
- type: mrr_at_100
value: 16.564
- type: mrr_at_1000
value: 16.669
- type: mrr_at_3
value: 14.459
- type: mrr_at_5
value: 15.261
- type: ndcg_at_1
value: 12.592999999999998
- type: ndcg_at_10
value: 16.166
- type: ndcg_at_100
value: 19.496
- type: ndcg_at_1000
value: 22.825
- type: ndcg_at_3
value: 13.591000000000001
- type: ndcg_at_5
value: 14.727
- type: precision_at_1
value: 12.592999999999998
- type: precision_at_10
value: 2.733
- type: precision_at_100
value: 0.485
- type: precision_at_1000
value: 0.086
- type: precision_at_3
value: 5.908
- type: precision_at_5
value: 4.328
- type: recall_at_1
value: 10.596
- type: recall_at_10
value: 21.698999999999998
- type: recall_at_100
value: 37.044
- type: recall_at_1000
value: 62.214999999999996
- type: recall_at_3
value: 14.501
- type: recall_at_5
value: 17.319000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 12.658
- type: map_at_10
value: 17.258000000000003
- type: map_at_100
value: 18.08
- type: map_at_1000
value: 18.248
- type: map_at_3
value: 15.648000000000001
- type: map_at_5
value: 16.659
- type: mrr_at_1
value: 15.613
- type: mrr_at_10
value: 20.379
- type: mrr_at_100
value: 21.15
- type: mrr_at_1000
value: 21.247
- type: mrr_at_3
value: 18.808
- type: mrr_at_5
value: 19.707
- type: ndcg_at_1
value: 15.613
- type: ndcg_at_10
value: 20.515
- type: ndcg_at_100
value: 24.618000000000002
- type: ndcg_at_1000
value: 28.407
- type: ndcg_at_3
value: 18.059
- type: ndcg_at_5
value: 19.274
- type: precision_at_1
value: 15.613
- type: precision_at_10
value: 3.8739999999999997
- type: precision_at_100
value: 0.8019999999999999
- type: precision_at_1000
value: 0.156
- type: precision_at_3
value: 8.696
- type: precision_at_5
value: 6.364
- type: recall_at_1
value: 12.658
- type: recall_at_10
value: 27.004
- type: recall_at_100
value: 46.245000000000005
- type: recall_at_1000
value: 72.696
- type: recall_at_3
value: 18.907
- type: recall_at_5
value: 22.666
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 8.792
- type: map_at_10
value: 12.516
- type: map_at_100
value: 13.197000000000001
- type: map_at_1000
value: 13.294
- type: map_at_3
value: 11.265
- type: map_at_5
value: 12.151
- type: mrr_at_1
value: 10.166
- type: mrr_at_10
value: 14.078
- type: mrr_at_100
value: 14.793999999999999
- type: mrr_at_1000
value: 14.889
- type: mrr_at_3
value: 12.876999999999999
- type: mrr_at_5
value: 13.700000000000001
- type: ndcg_at_1
value: 10.166
- type: ndcg_at_10
value: 14.889
- type: ndcg_at_100
value: 18.634
- type: ndcg_at_1000
value: 21.725
- type: ndcg_at_3
value: 12.475999999999999
- type: ndcg_at_5
value: 13.982
- type: precision_at_1
value: 10.166
- type: precision_at_10
value: 2.366
- type: precision_at_100
value: 0.453
- type: precision_at_1000
value: 0.078
- type: precision_at_3
value: 5.422
- type: precision_at_5
value: 4.104
- type: recall_at_1
value: 8.792
- type: recall_at_10
value: 20.875
- type: recall_at_100
value: 38.74
- type: recall_at_1000
value: 63.034
- type: recall_at_3
value: 14.344000000000001
- type: recall_at_5
value: 18.102
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.908
- type: map_at_10
value: 10.325
- type: map_at_100
value: 11.652
- type: map_at_1000
value: 11.847000000000001
- type: map_at_3
value: 8.519
- type: map_at_5
value: 9.407
- type: mrr_at_1
value: 13.16
- type: mrr_at_10
value: 21.617
- type: mrr_at_100
value: 22.712
- type: mrr_at_1000
value: 22.785
- type: mrr_at_3
value: 18.806
- type: mrr_at_5
value: 20.324
- type: ndcg_at_1
value: 13.16
- type: ndcg_at_10
value: 15.695999999999998
- type: ndcg_at_100
value: 22.006999999999998
- type: ndcg_at_1000
value: 26.226
- type: ndcg_at_3
value: 12.213000000000001
- type: ndcg_at_5
value: 13.403
- type: precision_at_1
value: 13.16
- type: precision_at_10
value: 5.199
- type: precision_at_100
value: 1.199
- type: precision_at_1000
value: 0.197
- type: precision_at_3
value: 9.468
- type: precision_at_5
value: 7.478999999999999
- type: recall_at_1
value: 5.908
- type: recall_at_10
value: 19.898
- type: recall_at_100
value: 42.46
- type: recall_at_1000
value: 67.06400000000001
- type: recall_at_3
value: 11.417
- type: recall_at_5
value: 14.610000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 2.923
- type: map_at_10
value: 6.648999999999999
- type: map_at_100
value: 9.408
- type: map_at_1000
value: 10.181
- type: map_at_3
value: 4.709
- type: map_at_5
value: 5.5329999999999995
- type: mrr_at_1
value: 33.75
- type: mrr_at_10
value: 42.895
- type: mrr_at_100
value: 43.759
- type: mrr_at_1000
value: 43.796
- type: mrr_at_3
value: 40.167
- type: mrr_at_5
value: 41.492000000000004
- type: ndcg_at_1
value: 24.375
- type: ndcg_at_10
value: 18.611
- type: ndcg_at_100
value: 21.141
- type: ndcg_at_1000
value: 27.177
- type: ndcg_at_3
value: 21.035
- type: ndcg_at_5
value: 19.703
- type: precision_at_1
value: 33.75
- type: precision_at_10
value: 16.8
- type: precision_at_100
value: 5.4399999999999995
- type: precision_at_1000
value: 1.208
- type: precision_at_3
value: 25.25
- type: precision_at_5
value: 21.55
- type: recall_at_1
value: 2.923
- type: recall_at_10
value: 10.530000000000001
- type: recall_at_100
value: 26.943
- type: recall_at_1000
value: 47.449999999999996
- type: recall_at_3
value: 5.608
- type: recall_at_5
value: 7.259
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 40.15
- type: f1
value: 36.73372782577792
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 12.628
- type: map_at_10
value: 18.238
- type: map_at_100
value: 19.085
- type: map_at_1000
value: 19.17
- type: map_at_3
value: 16.322
- type: map_at_5
value: 17.357
- type: mrr_at_1
value: 13.441
- type: mrr_at_10
value: 19.373
- type: mrr_at_100
value: 20.232
- type: mrr_at_1000
value: 20.31
- type: mrr_at_3
value: 17.389
- type: mrr_at_5
value: 18.467
- type: ndcg_at_1
value: 13.441
- type: ndcg_at_10
value: 21.823
- type: ndcg_at_100
value: 26.216
- type: ndcg_at_1000
value: 28.614
- type: ndcg_at_3
value: 17.845
- type: ndcg_at_5
value: 19.705000000000002
- type: precision_at_1
value: 13.441
- type: precision_at_10
value: 3.476
- type: precision_at_100
value: 0.584
- type: precision_at_1000
value: 0.08099999999999999
- type: precision_at_3
value: 7.596
- type: precision_at_5
value: 5.5329999999999995
- type: recall_at_1
value: 12.628
- type: recall_at_10
value: 32.062000000000005
- type: recall_at_100
value: 52.661
- type: recall_at_1000
value: 71.38799999999999
- type: recall_at_3
value: 21.175
- type: recall_at_5
value: 25.665
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 4.919
- type: map_at_10
value: 7.489
- type: map_at_100
value: 8.347
- type: map_at_1000
value: 8.520999999999999
- type: map_at_3
value: 6.7299999999999995
- type: map_at_5
value: 7.079000000000001
- type: mrr_at_1
value: 9.105
- type: mrr_at_10
value: 13.303
- type: mrr_at_100
value: 14.262
- type: mrr_at_1000
value: 14.371999999999998
- type: mrr_at_3
value: 12.217
- type: mrr_at_5
value: 12.773000000000001
- type: ndcg_at_1
value: 9.105
- type: ndcg_at_10
value: 10.194
- type: ndcg_at_100
value: 14.875
- type: ndcg_at_1000
value: 19.111
- type: ndcg_at_3
value: 9.113
- type: ndcg_at_5
value: 9.369
- type: precision_at_1
value: 9.105
- type: precision_at_10
value: 2.762
- type: precision_at_100
value: 0.738
- type: precision_at_1000
value: 0.14300000000000002
- type: precision_at_3
value: 5.864
- type: precision_at_5
value: 4.259
- type: recall_at_1
value: 4.919
- type: recall_at_10
value: 12.597
- type: recall_at_100
value: 31.233
- type: recall_at_1000
value: 58.312
- type: recall_at_3
value: 8.892
- type: recall_at_5
value: 10.116999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 13.275
- type: map_at_10
value: 18.406
- type: map_at_100
value: 19.148
- type: map_at_1000
value: 19.25
- type: map_at_3
value: 16.855999999999998
- type: map_at_5
value: 17.706
- type: mrr_at_1
value: 26.55
- type: mrr_at_10
value: 32.561
- type: mrr_at_100
value: 33.283
- type: mrr_at_1000
value: 33.352
- type: mrr_at_3
value: 30.767
- type: mrr_at_5
value: 31.801000000000002
- type: ndcg_at_1
value: 26.55
- type: ndcg_at_10
value: 24.031
- type: ndcg_at_100
value: 27.76
- type: ndcg_at_1000
value: 30.426
- type: ndcg_at_3
value: 20.91
- type: ndcg_at_5
value: 22.417
- type: precision_at_1
value: 26.55
- type: precision_at_10
value: 5.3629999999999995
- type: precision_at_100
value: 0.8380000000000001
- type: precision_at_1000
value: 0.12
- type: precision_at_3
value: 13.167000000000002
- type: precision_at_5
value: 9.091000000000001
- type: recall_at_1
value: 13.275
- type: recall_at_10
value: 26.813
- type: recall_at_100
value: 41.891
- type: recall_at_1000
value: 59.804
- type: recall_at_3
value: 19.75
- type: recall_at_5
value: 22.728
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 62.651999999999994
- type: ap
value: 58.13172545320704
- type: f1
value: 62.47429101001618
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 4.661
- type: map_at_10
value: 8.003
- type: map_at_100
value: 8.741
- type: map_at_1000
value: 8.834
- type: map_at_3
value: 6.765000000000001
- type: map_at_5
value: 7.396999999999999
- type: mrr_at_1
value: 4.814
- type: mrr_at_10
value: 8.25
- type: mrr_at_100
value: 8.997
- type: mrr_at_1000
value: 9.088000000000001
- type: mrr_at_3
value: 6.988999999999999
- type: mrr_at_5
value: 7.630000000000001
- type: ndcg_at_1
value: 4.771
- type: ndcg_at_10
value: 10.142
- type: ndcg_at_100
value: 14.282
- type: ndcg_at_1000
value: 17.169
- type: ndcg_at_3
value: 7.531000000000001
- type: ndcg_at_5
value: 8.671
- type: precision_at_1
value: 4.771
- type: precision_at_10
value: 1.7510000000000001
- type: precision_at_100
value: 0.38999999999999996
- type: precision_at_1000
value: 0.064
- type: precision_at_3
value: 3.314
- type: precision_at_5
value: 2.5669999999999997
- type: recall_at_1
value: 4.661
- type: recall_at_10
value: 16.792
- type: recall_at_100
value: 37.221
- type: recall_at_1000
value: 60.550000000000004
- type: recall_at_3
value: 9.549000000000001
- type: recall_at_5
value: 12.276
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 85.74555403556772
- type: f1
value: 85.29014785765409
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 59.1016871865025
- type: f1
value: 39.799156304661324
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 60.29253530598522
- type: f1
value: 57.58027304406067
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 66.4862138533961
- type: f1
value: 65.09934822244887
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.405192268682242
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 24.459696217158037
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.380882515419433
- type: mrr
value: 30.311119546825378
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.06
- type: map_at_10
value: 5.1659999999999995
- type: map_at_100
value: 6.596
- type: map_at_1000
value: 7.661
- type: map_at_3
value: 4.208
- type: map_at_5
value: 4.662
- type: mrr_at_1
value: 26.935
- type: mrr_at_10
value: 35.577
- type: mrr_at_100
value: 36.548
- type: mrr_at_1000
value: 36.616
- type: mrr_at_3
value: 33.024
- type: mrr_at_5
value: 34.587
- type: ndcg_at_1
value: 25.232
- type: ndcg_at_10
value: 17.793999999999997
- type: ndcg_at_100
value: 17.47
- type: ndcg_at_1000
value: 26.964
- type: ndcg_at_3
value: 21.428
- type: ndcg_at_5
value: 19.868
- type: precision_at_1
value: 26.935
- type: precision_at_10
value: 13.034
- type: precision_at_100
value: 5.006
- type: precision_at_1000
value: 1.7870000000000001
- type: precision_at_3
value: 20.124
- type: precision_at_5
value: 16.966
- type: recall_at_1
value: 3.06
- type: recall_at_10
value: 7.896
- type: recall_at_100
value: 20.28
- type: recall_at_1000
value: 53.613
- type: recall_at_3
value: 4.8309999999999995
- type: recall_at_5
value: 5.994
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 7.4959999999999996
- type: map_at_10
value: 12.836
- type: map_at_100
value: 13.835
- type: map_at_1000
value: 13.94
- type: map_at_3
value: 10.896
- type: map_at_5
value: 11.956
- type: mrr_at_1
value: 8.575000000000001
- type: mrr_at_10
value: 14.292
- type: mrr_at_100
value: 15.24
- type: mrr_at_1000
value: 15.332
- type: mrr_at_3
value: 12.22
- type: mrr_at_5
value: 13.379
- type: ndcg_at_1
value: 8.575000000000001
- type: ndcg_at_10
value: 16.36
- type: ndcg_at_100
value: 21.598
- type: ndcg_at_1000
value: 24.547
- type: ndcg_at_3
value: 12.305000000000001
- type: ndcg_at_5
value: 14.249
- type: precision_at_1
value: 8.575000000000001
- type: precision_at_10
value: 3.024
- type: precision_at_100
value: 0.602
- type: precision_at_1000
value: 0.08800000000000001
- type: precision_at_3
value: 5.726
- type: precision_at_5
value: 4.537
- type: recall_at_1
value: 7.4959999999999996
- type: recall_at_10
value: 25.898
- type: recall_at_100
value: 50.495000000000005
- type: recall_at_1000
value: 73.206
- type: recall_at_3
value: 15.124
- type: recall_at_5
value: 19.667
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 58.19499999999999
- type: map_at_10
value: 70.086
- type: map_at_100
value: 70.922
- type: map_at_1000
value: 70.967
- type: map_at_3
value: 67.274
- type: map_at_5
value: 68.948
- type: mrr_at_1
value: 66.85
- type: mrr_at_10
value: 74.74499999999999
- type: mrr_at_100
value: 75.09
- type: mrr_at_1000
value: 75.102
- type: mrr_at_3
value: 73.15
- type: mrr_at_5
value: 74.153
- type: ndcg_at_1
value: 66.92
- type: ndcg_at_10
value: 74.998
- type: ndcg_at_100
value: 77.66499999999999
- type: ndcg_at_1000
value: 78.309
- type: ndcg_at_3
value: 71.287
- type: ndcg_at_5
value: 73.154
- type: precision_at_1
value: 66.92
- type: precision_at_10
value: 11.347999999999999
- type: precision_at_100
value: 1.394
- type: precision_at_1000
value: 0.152
- type: precision_at_3
value: 30.857
- type: precision_at_5
value: 20.419999999999998
- type: recall_at_1
value: 58.19499999999999
- type: recall_at_10
value: 84.407
- type: recall_at_100
value: 95.089
- type: recall_at_1000
value: 99.032
- type: recall_at_3
value: 73.847
- type: recall_at_5
value: 78.994
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 33.78467254732863
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 40.672180041658585
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.273
- type: map_at_10
value: 5.082
- type: map_at_100
value: 6.081
- type: map_at_1000
value: 6.3
- type: map_at_3
value: 3.887
- type: map_at_5
value: 4.455
- type: mrr_at_1
value: 11.1
- type: mrr_at_10
value: 17.724
- type: mrr_at_100
value: 18.815
- type: mrr_at_1000
value: 18.927
- type: mrr_at_3
value: 15.45
- type: mrr_at_5
value: 16.665
- type: ndcg_at_1
value: 11.1
- type: ndcg_at_10
value: 9.337
- type: ndcg_at_100
value: 14.328
- type: ndcg_at_1000
value: 19.358
- type: ndcg_at_3
value: 9.055
- type: ndcg_at_5
value: 7.782
- type: precision_at_1
value: 11.1
- type: precision_at_10
value: 4.760000000000001
- type: precision_at_100
value: 1.208
- type: precision_at_1000
value: 0.243
- type: precision_at_3
value: 8.5
- type: precision_at_5
value: 6.72
- type: recall_at_1
value: 2.273
- type: recall_at_10
value: 9.708
- type: recall_at_100
value: 24.490000000000002
- type: recall_at_1000
value: 49.378
- type: recall_at_3
value: 5.207
- type: recall_at_5
value: 6.855
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 75.31271548030631
- type: cos_sim_spearman
value: 66.39869412209516
- type: euclidean_pearson
value: 71.7717241609781
- type: euclidean_spearman
value: 66.3987881681945
- type: manhattan_pearson
value: 69.11732057374952
- type: manhattan_spearman
value: 64.37112055858346
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 67.60073903347859
- type: cos_sim_spearman
value: 60.19179782879366
- type: euclidean_pearson
value: 64.11314220006894
- type: euclidean_spearman
value: 60.19314941038865
- type: manhattan_pearson
value: 61.97187813126979
- type: manhattan_spearman
value: 59.52596441655491
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 72.51824007418035
- type: cos_sim_spearman
value: 74.95359317393202
- type: euclidean_pearson
value: 74.49726165629166
- type: euclidean_spearman
value: 74.95363101082553
- type: manhattan_pearson
value: 74.5505822303686
- type: manhattan_spearman
value: 74.83106654959558
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 73.94027055461791
- type: cos_sim_spearman
value: 71.75613187630412
- type: euclidean_pearson
value: 73.52053251964922
- type: euclidean_spearman
value: 71.7561221886074
- type: manhattan_pearson
value: 72.95807486480041
- type: manhattan_spearman
value: 71.44311778711412
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 76.99843680559651
- type: cos_sim_spearman
value: 78.23842744383246
- type: euclidean_pearson
value: 78.32126716441479
- type: euclidean_spearman
value: 78.23842600076793
- type: manhattan_pearson
value: 78.70809726482216
- type: manhattan_spearman
value: 78.76466032861859
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 73.14424089430341
- type: cos_sim_spearman
value: 74.3751435229468
- type: euclidean_pearson
value: 73.9331135556646
- type: euclidean_spearman
value: 74.37541530605985
- type: manhattan_pearson
value: 74.39888961544435
- type: manhattan_spearman
value: 74.94721230089296
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 80.75441723905766
- type: cos_sim_spearman
value: 82.73557833304935
- type: euclidean_pearson
value: 82.69115254893079
- type: euclidean_spearman
value: 82.73645322846139
- type: manhattan_pearson
value: 82.51722585478409
- type: manhattan_spearman
value: 82.86707120159535
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 62.07059194085915
- type: cos_sim_spearman
value: 59.76151504162761
- type: euclidean_pearson
value: 62.11407131924416
- type: euclidean_spearman
value: 59.76151504162761
- type: manhattan_pearson
value: 61.32842825569698
- type: manhattan_spearman
value: 59.571314861791656
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 74.0915974515931
- type: cos_sim_spearman
value: 72.55883845653092
- type: euclidean_pearson
value: 74.18910803867354
- type: euclidean_spearman
value: 72.55885692831839
- type: manhattan_pearson
value: 74.2142152931368
- type: manhattan_spearman
value: 72.99331929242176
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 68.94137239589007
- type: mrr
value: 88.63889287908896
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 24.389
- type: map_at_10
value: 32.143
- type: map_at_100
value: 32.873000000000005
- type: map_at_1000
value: 32.972
- type: map_at_3
value: 29.583
- type: map_at_5
value: 31.008000000000003
- type: mrr_at_1
value: 25.667
- type: mrr_at_10
value: 33.274
- type: mrr_at_100
value: 33.913
- type: mrr_at_1000
value: 33.997
- type: mrr_at_3
value: 30.833
- type: mrr_at_5
value: 32.167
- type: ndcg_at_1
value: 25.667
- type: ndcg_at_10
value: 36.897999999999996
- type: ndcg_at_100
value: 41.038999999999994
- type: ndcg_at_1000
value: 43.896
- type: ndcg_at_3
value: 31.682
- type: ndcg_at_5
value: 34.178
- type: precision_at_1
value: 25.667
- type: precision_at_10
value: 5.567
- type: precision_at_100
value: 0.8
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 13.222000000000001
- type: precision_at_5
value: 9.333
- type: recall_at_1
value: 24.389
- type: recall_at_10
value: 50.833
- type: recall_at_100
value: 71.311
- type: recall_at_1000
value: 94.11699999999999
- type: recall_at_3
value: 36.361
- type: recall_at_5
value: 42.528
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.55841584158416
- type: cos_sim_ap
value: 82.22304986475189
- type: cos_sim_f1
value: 75.87939698492463
- type: cos_sim_precision
value: 76.26262626262627
- type: cos_sim_recall
value: 75.5
- type: dot_accuracy
value: 99.55841584158416
- type: dot_ap
value: 82.22304986475189
- type: dot_f1
value: 75.87939698492463
- type: dot_precision
value: 76.26262626262627
- type: dot_recall
value: 75.5
- type: euclidean_accuracy
value: 99.55841584158416
- type: euclidean_ap
value: 82.22304986475189
- type: euclidean_f1
value: 75.87939698492463
- type: euclidean_precision
value: 76.26262626262627
- type: euclidean_recall
value: 75.5
- type: manhattan_accuracy
value: 99.65643564356435
- type: manhattan_ap
value: 88.59947381749205
- type: manhattan_f1
value: 81.93515182707155
- type: manhattan_precision
value: 84.41145281018028
- type: manhattan_recall
value: 79.60000000000001
- type: max_accuracy
value: 99.65643564356435
- type: max_ap
value: 88.59947381749205
- type: max_f1
value: 81.93515182707155
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 40.15487119938627
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 28.454412099949135
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 41.30437085806053
- type: mrr
value: 41.771443425855196
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.730978898878607
- type: cos_sim_spearman
value: 30.39763492615794
- type: dot_pearson
value: 29.730978853483407
- type: dot_spearman
value: 30.39986658115624
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.086
- type: map_at_10
value: 0.471
- type: map_at_100
value: 2.222
- type: map_at_1000
value: 5.461
- type: map_at_3
value: 0.182
- type: map_at_5
value: 0.28200000000000003
- type: mrr_at_1
value: 42
- type: mrr_at_10
value: 52.78
- type: mrr_at_100
value: 53.761
- type: mrr_at_1000
value: 53.761
- type: mrr_at_3
value: 49.333
- type: mrr_at_5
value: 50.632999999999996
- type: ndcg_at_1
value: 37
- type: ndcg_at_10
value: 31.411
- type: ndcg_at_100
value: 22.314999999999998
- type: ndcg_at_1000
value: 20.274
- type: ndcg_at_3
value: 32.089
- type: ndcg_at_5
value: 32.08
- type: precision_at_1
value: 44
- type: precision_at_10
value: 34.4
- type: precision_at_100
value: 23.28
- type: precision_at_1000
value: 10.162
- type: precision_at_3
value: 35.333
- type: precision_at_5
value: 35.199999999999996
- type: recall_at_1
value: 0.086
- type: recall_at_10
value: 0.696
- type: recall_at_100
value: 4.758
- type: recall_at_1000
value: 20.024
- type: recall_at_3
value: 0.22100000000000003
- type: recall_at_5
value: 0.366
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.881
- type: map_at_10
value: 6.317
- type: map_at_100
value: 10.148
- type: map_at_1000
value: 11.607000000000001
- type: map_at_3
value: 3.7859999999999996
- type: map_at_5
value: 4.93
- type: mrr_at_1
value: 26.531
- type: mrr_at_10
value: 39.155
- type: mrr_at_100
value: 40.329
- type: mrr_at_1000
value: 40.349000000000004
- type: mrr_at_3
value: 34.694
- type: mrr_at_5
value: 37.041000000000004
- type: ndcg_at_1
value: 24.490000000000002
- type: ndcg_at_10
value: 18.057000000000002
- type: ndcg_at_100
value: 27.607
- type: ndcg_at_1000
value: 39.967000000000006
- type: ndcg_at_3
value: 21.055
- type: ndcg_at_5
value: 19.653000000000002
- type: precision_at_1
value: 26.531
- type: precision_at_10
value: 16.122
- type: precision_at_100
value: 6.162999999999999
- type: precision_at_1000
value: 1.392
- type: precision_at_3
value: 21.769
- type: precision_at_5
value: 19.592000000000002
- type: recall_at_1
value: 1.881
- type: recall_at_10
value: 10.749
- type: recall_at_100
value: 37.302
- type: recall_at_1000
value: 75.095
- type: recall_at_3
value: 4.716
- type: recall_at_5
value: 6.851
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 69.23680000000002
- type: ap
value: 13.734287974781228
- type: f1
value: 53.447029519181534
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 52.062818336162984
- type: f1
value: 52.230909643972744
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 33.52730094235677
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.66078559933241
- type: cos_sim_ap
value: 62.37683883217069
- type: cos_sim_f1
value: 59.312101910828034
- type: cos_sim_precision
value: 57.33990147783251
- type: cos_sim_recall
value: 61.42480211081794
- type: dot_accuracy
value: 82.66078559933241
- type: dot_ap
value: 62.37683883217069
- type: dot_f1
value: 59.312101910828034
- type: dot_precision
value: 57.33990147783251
- type: dot_recall
value: 61.42480211081794
- type: euclidean_accuracy
value: 82.66078559933241
- type: euclidean_ap
value: 62.37683883217069
- type: euclidean_f1
value: 59.312101910828034
- type: euclidean_precision
value: 57.33990147783251
- type: euclidean_recall
value: 61.42480211081794
- type: manhattan_accuracy
value: 82.05281039518388
- type: manhattan_ap
value: 60.00452983178683
- type: manhattan_f1
value: 57.13604387742935
- type: manhattan_precision
value: 52.120948444637804
- type: manhattan_recall
value: 63.21899736147757
- type: max_accuracy
value: 82.66078559933241
- type: max_ap
value: 62.37683883217069
- type: max_f1
value: 59.312101910828034
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.01245779485389
- type: cos_sim_ap
value: 82.11640979696757
- type: cos_sim_f1
value: 74.081541218638
- type: cos_sim_precision
value: 71.91214844882575
- type: cos_sim_recall
value: 76.38589467200492
- type: dot_accuracy
value: 87.01245779485389
- type: dot_ap
value: 82.11640812292269
- type: dot_f1
value: 74.081541218638
- type: dot_precision
value: 71.91214844882575
- type: dot_recall
value: 76.38589467200492
- type: euclidean_accuracy
value: 87.01245779485389
- type: euclidean_ap
value: 82.11641535703677
- type: euclidean_f1
value: 74.081541218638
- type: euclidean_precision
value: 71.91214844882575
- type: euclidean_recall
value: 76.38589467200492
- type: manhattan_accuracy
value: 87.16963558039352
- type: manhattan_ap
value: 82.32473549889242
- type: manhattan_f1
value: 74.42121825129242
- type: manhattan_precision
value: 72.47191011235955
- type: manhattan_recall
value: 76.47828765013858
- type: max_accuracy
value: 87.16963558039352
- type: max_ap
value: 82.32473549889242
- type: max_f1
value: 74.42121825129242