metadata
tags:
- mteb
model-index:
- name: e5-small-v2
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 76.65671641791046
- type: ap
value: 40.16054083847425
- type: f1
value: 70.73805260085523
- task:
type: Classification
dataset:
type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 46.431999999999995
- type: f1
value: 44.4239364840113
- task:
type: Retrieval
dataset:
type: mteb/arguana
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 24.182000000000002
- type: map_at_10
value: 38.53
- type: map_at_100
value: 39.574999999999996
- type: map_at_1000
value: 39.593
- type: map_at_3
value: 33.796
- type: map_at_5
value: 36.406
- type: mrr_at_1
value: 24.964
- type: mrr_at_10
value: 38.829
- type: mrr_at_100
value: 39.867000000000004
- type: mrr_at_1000
value: 39.885999999999996
- type: mrr_at_3
value: 34.092
- type: mrr_at_5
value: 36.713
- type: ndcg_at_1
value: 24.182000000000002
- type: ndcg_at_10
value: 46.865
- type: ndcg_at_100
value: 51.611
- type: ndcg_at_1000
value: 52.137
- type: ndcg_at_3
value: 37.036
- type: ndcg_at_5
value: 41.715999999999994
- type: precision_at_1
value: 24.182000000000002
- type: precision_at_10
value: 7.367999999999999
- type: precision_at_100
value: 0.951
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 15.481
- type: precision_at_5
value: 11.55
- type: recall_at_1
value: 24.182000000000002
- type: recall_at_10
value: 73.68400000000001
- type: recall_at_100
value: 95.092
- type: recall_at_1000
value: 99.289
- type: recall_at_3
value: 46.444
- type: recall_at_5
value: 57.752
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 43.243157093430476
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 36.48617956618108
- task:
type: Reranking
dataset:
type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 57.6915668741631
- type: mrr
value: 70.97832300048366
- task:
type: STS
dataset:
type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 82.25177125617765
- type: cos_sim_spearman
value: 82.19042698150236
- type: euclidean_pearson
value: 81.39677961271671
- type: euclidean_spearman
value: 82.19042698150236
- type: manhattan_pearson
value: 81.83582953195571
- type: manhattan_spearman
value: 82.20127060207557
- task:
type: Classification
dataset:
type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 73.73701298701299
- type: f1
value: 72.68295178070956
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 35.55562814544096
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 31.024495399036073
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-android
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 31.356
- type: map_at_10
value: 41.583
- type: map_at_100
value: 42.931999999999995
- type: map_at_1000
value: 43.059999999999995
- type: map_at_3
value: 38.572
- type: map_at_5
value: 40.184999999999995
- type: mrr_at_1
value: 39.485
- type: mrr_at_10
value: 48.325
- type: mrr_at_100
value: 49.044
- type: mrr_at_1000
value: 49.095
- type: mrr_at_3
value: 45.97
- type: mrr_at_5
value: 47.38
- type: ndcg_at_1
value: 39.485
- type: ndcg_at_10
value: 47.689
- type: ndcg_at_100
value: 52.611
- type: ndcg_at_1000
value: 54.75600000000001
- type: ndcg_at_3
value: 43.675000000000004
- type: ndcg_at_5
value: 45.305
- type: precision_at_1
value: 39.485
- type: precision_at_10
value: 9.142
- type: precision_at_100
value: 1.4460000000000002
- type: precision_at_1000
value: 0.19
- type: precision_at_3
value: 21.364
- type: precision_at_5
value: 15.021
- type: recall_at_1
value: 31.356
- type: recall_at_10
value: 58.338
- type: recall_at_100
value: 79.23400000000001
- type: recall_at_1000
value: 93.4
- type: recall_at_3
value: 45.224
- type: recall_at_5
value: 50.719
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-english
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 25.988
- type: map_at_10
value: 34.314
- type: map_at_100
value: 35.323
- type: map_at_1000
value: 35.453
- type: map_at_3
value: 31.855
- type: map_at_5
value: 33.317
- type: mrr_at_1
value: 32.675
- type: mrr_at_10
value: 40.199
- type: mrr_at_100
value: 40.912
- type: mrr_at_1000
value: 40.964
- type: mrr_at_3
value: 38.132
- type: mrr_at_5
value: 39.421
- type: ndcg_at_1
value: 32.675
- type: ndcg_at_10
value: 39.346
- type: ndcg_at_100
value: 43.578
- type: ndcg_at_1000
value: 45.975
- type: ndcg_at_3
value: 35.75
- type: ndcg_at_5
value: 37.578
- type: precision_at_1
value: 32.675
- type: precision_at_10
value: 7.228999999999999
- type: precision_at_100
value: 1.204
- type: precision_at_1000
value: 0.172
- type: precision_at_3
value: 17.113
- type: precision_at_5
value: 12.166
- type: recall_at_1
value: 25.988
- type: recall_at_10
value: 47.943000000000005
- type: recall_at_100
value: 66.326
- type: recall_at_1000
value: 82.02000000000001
- type: recall_at_3
value: 37.169999999999995
- type: recall_at_5
value: 42.356
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-gaming
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 38.536
- type: map_at_10
value: 49.514
- type: map_at_100
value: 50.55500000000001
- type: map_at_1000
value: 50.615
- type: map_at_3
value: 46.329
- type: map_at_5
value: 48.278
- type: mrr_at_1
value: 43.887
- type: mrr_at_10
value: 52.900999999999996
- type: mrr_at_100
value: 53.63099999999999
- type: mrr_at_1000
value: 53.664
- type: mrr_at_3
value: 50.502
- type: mrr_at_5
value: 52.063
- type: ndcg_at_1
value: 43.887
- type: ndcg_at_10
value: 54.847
- type: ndcg_at_100
value: 59.163
- type: ndcg_at_1000
value: 60.44199999999999
- type: ndcg_at_3
value: 49.6
- type: ndcg_at_5
value: 52.493
- type: precision_at_1
value: 43.887
- type: precision_at_10
value: 8.677
- type: precision_at_100
value: 1.176
- type: precision_at_1000
value: 0.133
- type: precision_at_3
value: 21.797
- type: precision_at_5
value: 15.146999999999998
- type: recall_at_1
value: 38.536
- type: recall_at_10
value: 67.23
- type: recall_at_100
value: 86.095
- type: recall_at_1000
value: 95.26400000000001
- type: recall_at_3
value: 53.388000000000005
- type: recall_at_5
value: 60.4
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-gis
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 23.488
- type: map_at_10
value: 30.375000000000004
- type: map_at_100
value: 31.343
- type: map_at_1000
value: 31.447999999999997
- type: map_at_3
value: 28.017999999999997
- type: map_at_5
value: 29.415999999999997
- type: mrr_at_1
value: 25.085
- type: mrr_at_10
value: 31.935000000000002
- type: mrr_at_100
value: 32.843
- type: mrr_at_1000
value: 32.929
- type: mrr_at_3
value: 29.548000000000002
- type: mrr_at_5
value: 31.04
- type: ndcg_at_1
value: 25.085
- type: ndcg_at_10
value: 34.48
- type: ndcg_at_100
value: 39.501
- type: ndcg_at_1000
value: 42.141
- type: ndcg_at_3
value: 29.831000000000003
- type: ndcg_at_5
value: 32.312999999999995
- type: precision_at_1
value: 25.085
- type: precision_at_10
value: 5.153
- type: precision_at_100
value: 0.815
- type: precision_at_1000
value: 0.108
- type: precision_at_3
value: 12.09
- type: precision_at_5
value: 8.701
- type: recall_at_1
value: 23.488
- type: recall_at_10
value: 45.671
- type: recall_at_100
value: 69.062
- type: recall_at_1000
value: 88.82
- type: recall_at_3
value: 33.376
- type: recall_at_5
value: 39.311
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-mathematica
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 12.879999999999999
- type: map_at_10
value: 18.873
- type: map_at_100
value: 20.097
- type: map_at_1000
value: 20.222
- type: map_at_3
value: 16.982
- type: map_at_5
value: 17.902
- type: mrr_at_1
value: 15.920000000000002
- type: mrr_at_10
value: 22.71
- type: mrr_at_100
value: 23.818
- type: mrr_at_1000
value: 23.898
- type: mrr_at_3
value: 20.626
- type: mrr_at_5
value: 21.733
- type: ndcg_at_1
value: 15.920000000000002
- type: ndcg_at_10
value: 22.959
- type: ndcg_at_100
value: 29.270000000000003
- type: ndcg_at_1000
value: 32.448
- type: ndcg_at_3
value: 19.356
- type: ndcg_at_5
value: 20.816000000000003
- type: precision_at_1
value: 15.920000000000002
- type: precision_at_10
value: 4.328
- type: precision_at_100
value: 0.8710000000000001
- type: precision_at_1000
value: 0.127
- type: precision_at_3
value: 9.203999999999999
- type: precision_at_5
value: 6.5920000000000005
- type: recall_at_1
value: 12.879999999999999
- type: recall_at_10
value: 31.724999999999998
- type: recall_at_100
value: 60.049
- type: recall_at_1000
value: 83.133
- type: recall_at_3
value: 21.981
- type: recall_at_5
value: 25.668999999999997
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-physics
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 22.774
- type: map_at_10
value: 31.312
- type: map_at_100
value: 32.487
- type: map_at_1000
value: 32.609
- type: map_at_3
value: 28.589
- type: map_at_5
value: 30.142999999999997
- type: mrr_at_1
value: 28.393
- type: mrr_at_10
value: 36.813
- type: mrr_at_100
value: 37.724999999999994
- type: mrr_at_1000
value: 37.789
- type: mrr_at_3
value: 34.392
- type: mrr_at_5
value: 35.893
- type: ndcg_at_1
value: 28.393
- type: ndcg_at_10
value: 36.835
- type: ndcg_at_100
value: 42.192
- type: ndcg_at_1000
value: 44.812000000000005
- type: ndcg_at_3
value: 32.268
- type: ndcg_at_5
value: 34.515
- type: precision_at_1
value: 28.393
- type: precision_at_10
value: 6.737
- type: precision_at_100
value: 1.114
- type: precision_at_1000
value: 0.154
- type: precision_at_3
value: 15.399
- type: precision_at_5
value: 10.991
- type: recall_at_1
value: 22.774
- type: recall_at_10
value: 48.136
- type: recall_at_100
value: 71
- type: recall_at_1000
value: 88.74
- type: recall_at_3
value: 35.098
- type: recall_at_5
value: 41.134
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-programmers
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 23.669
- type: map_at_10
value: 32.554
- type: map_at_100
value: 33.886
- type: map_at_1000
value: 34.004
- type: map_at_3
value: 29.944
- type: map_at_5
value: 31.330999999999996
- type: mrr_at_1
value: 29.110000000000003
- type: mrr_at_10
value: 37.234
- type: mrr_at_100
value: 38.151
- type: mrr_at_1000
value: 38.218999999999994
- type: mrr_at_3
value: 35.046
- type: mrr_at_5
value: 36.056
- type: ndcg_at_1
value: 29.110000000000003
- type: ndcg_at_10
value: 37.743
- type: ndcg_at_100
value: 43.413000000000004
- type: ndcg_at_1000
value: 46.06
- type: ndcg_at_3
value: 33.501999999999995
- type: ndcg_at_5
value: 35.175
- type: precision_at_1
value: 29.110000000000003
- type: precision_at_10
value: 6.872
- type: precision_at_100
value: 1.129
- type: precision_at_1000
value: 0.154
- type: precision_at_3
value: 16.02
- type: precision_at_5
value: 11.21
- type: recall_at_1
value: 23.669
- type: recall_at_10
value: 48.615
- type: recall_at_100
value: 72.708
- type: recall_at_1000
value: 90.96300000000001
- type: recall_at_3
value: 36.373
- type: recall_at_5
value: 41.06
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-stats
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 21.364
- type: map_at_10
value: 27.208
- type: map_at_100
value: 28.083000000000002
- type: map_at_1000
value: 28.182000000000002
- type: map_at_3
value: 25.448999999999998
- type: map_at_5
value: 26.397
- type: mrr_at_1
value: 24.233
- type: mrr_at_10
value: 29.802
- type: mrr_at_100
value: 30.595
- type: mrr_at_1000
value: 30.660999999999998
- type: mrr_at_3
value: 28.17
- type: mrr_at_5
value: 28.967
- type: ndcg_at_1
value: 24.233
- type: ndcg_at_10
value: 30.774
- type: ndcg_at_100
value: 35.414
- type: ndcg_at_1000
value: 37.962
- type: ndcg_at_3
value: 27.497
- type: ndcg_at_5
value: 28.957
- type: precision_at_1
value: 24.233
- type: precision_at_10
value: 4.755
- type: precision_at_100
value: 0.775
- type: precision_at_1000
value: 0.108
- type: precision_at_3
value: 11.860999999999999
- type: precision_at_5
value: 8.097999999999999
- type: recall_at_1
value: 21.364
- type: recall_at_10
value: 39.291
- type: recall_at_100
value: 60.907
- type: recall_at_1000
value: 79.786
- type: recall_at_3
value: 30.257
- type: recall_at_5
value: 33.924
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-tex
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 15.139
- type: map_at_10
value: 21.063000000000002
- type: map_at_100
value: 22.070999999999998
- type: map_at_1000
value: 22.203999999999997
- type: map_at_3
value: 19.204
- type: map_at_5
value: 20.185
- type: mrr_at_1
value: 18.445
- type: mrr_at_10
value: 24.698999999999998
- type: mrr_at_100
value: 25.569999999999997
- type: mrr_at_1000
value: 25.659
- type: mrr_at_3
value: 22.866
- type: mrr_at_5
value: 23.868000000000002
- type: ndcg_at_1
value: 18.445
- type: ndcg_at_10
value: 24.998
- type: ndcg_at_100
value: 29.982999999999997
- type: ndcg_at_1000
value: 33.271
- type: ndcg_at_3
value: 21.692
- type: ndcg_at_5
value: 23.102
- type: precision_at_1
value: 18.445
- type: precision_at_10
value: 4.542
- type: precision_at_100
value: 0.84
- type: precision_at_1000
value: 0.129
- type: precision_at_3
value: 10.381
- type: precision_at_5
value: 7.356999999999999
- type: recall_at_1
value: 15.139
- type: recall_at_10
value: 33.268
- type: recall_at_100
value: 55.87
- type: recall_at_1000
value: 79.841
- type: recall_at_3
value: 23.629
- type: recall_at_5
value: 27.541
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-unix
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 24.317
- type: map_at_10
value: 31.661
- type: map_at_100
value: 32.844
- type: map_at_1000
value: 32.952
- type: map_at_3
value: 29.118
- type: map_at_5
value: 30.410999999999998
- type: mrr_at_1
value: 28.544999999999998
- type: mrr_at_10
value: 36.059999999999995
- type: mrr_at_100
value: 36.983
- type: mrr_at_1000
value: 37.047999999999995
- type: mrr_at_3
value: 33.738
- type: mrr_at_5
value: 34.871
- type: ndcg_at_1
value: 28.544999999999998
- type: ndcg_at_10
value: 36.546
- type: ndcg_at_100
value: 42.039
- type: ndcg_at_1000
value: 44.61
- type: ndcg_at_3
value: 31.835
- type: ndcg_at_5
value: 33.755
- type: precision_at_1
value: 28.544999999999998
- type: precision_at_10
value: 6.0729999999999995
- type: precision_at_100
value: 0.991
- type: precision_at_1000
value: 0.132
- type: precision_at_3
value: 13.993
- type: precision_at_5
value: 9.795
- type: recall_at_1
value: 24.317
- type: recall_at_10
value: 47.227000000000004
- type: recall_at_100
value: 71.245
- type: recall_at_1000
value: 89.584
- type: recall_at_3
value: 34.292
- type: recall_at_5
value: 39.129000000000005
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-webmasters
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 24.169999999999998
- type: map_at_10
value: 32.669
- type: map_at_100
value: 34.195
- type: map_at_1000
value: 34.438
- type: map_at_3
value: 30.264000000000003
- type: map_at_5
value: 31.694
- type: mrr_at_1
value: 29.249000000000002
- type: mrr_at_10
value: 37.230999999999995
- type: mrr_at_100
value: 38.216
- type: mrr_at_1000
value: 38.291
- type: mrr_at_3
value: 35.178
- type: mrr_at_5
value: 36.453
- type: ndcg_at_1
value: 29.249000000000002
- type: ndcg_at_10
value: 37.967
- type: ndcg_at_100
value: 43.514
- type: ndcg_at_1000
value: 46.63
- type: ndcg_at_3
value: 34.437
- type: ndcg_at_5
value: 36.299
- type: precision_at_1
value: 29.249000000000002
- type: precision_at_10
value: 7.055
- type: precision_at_100
value: 1.431
- type: precision_at_1000
value: 0.23800000000000002
- type: precision_at_3
value: 16.469
- type: precision_at_5
value: 11.897
- type: recall_at_1
value: 24.169999999999998
- type: recall_at_10
value: 47.577000000000005
- type: recall_at_100
value: 72.375
- type: recall_at_1000
value: 92.711
- type: recall_at_3
value: 36.551
- type: recall_at_5
value: 41.739
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-wordpress
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 18.306
- type: map_at_10
value: 24.882
- type: map_at_100
value: 25.898
- type: map_at_1000
value: 25.991999999999997
- type: map_at_3
value: 22.506999999999998
- type: map_at_5
value: 23.708000000000002
- type: mrr_at_1
value: 20.148
- type: mrr_at_10
value: 27.014
- type: mrr_at_100
value: 27.886
- type: mrr_at_1000
value: 27.955999999999996
- type: mrr_at_3
value: 24.553
- type: mrr_at_5
value: 25.801000000000002
- type: ndcg_at_1
value: 20.148
- type: ndcg_at_10
value: 29.211
- type: ndcg_at_100
value: 34.307
- type: ndcg_at_1000
value: 36.875
- type: ndcg_at_3
value: 24.333
- type: ndcg_at_5
value: 26.455000000000002
- type: precision_at_1
value: 20.148
- type: precision_at_10
value: 4.713
- type: precision_at_100
value: 0.784
- type: precision_at_1000
value: 0.11
- type: precision_at_3
value: 10.290000000000001
- type: precision_at_5
value: 7.394
- type: recall_at_1
value: 18.306
- type: recall_at_10
value: 40.591
- type: recall_at_100
value: 64.18199999999999
- type: recall_at_1000
value: 83.646
- type: recall_at_3
value: 27.528999999999996
- type: recall_at_5
value: 32.619
- task:
type: Retrieval
dataset:
type: mteb/climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 7.872999999999999
- type: map_at_10
value: 13.361999999999998
- type: map_at_100
value: 15.024999999999999
- type: map_at_1000
value: 15.254000000000001
- type: map_at_3
value: 10.895000000000001
- type: map_at_5
value: 12.131
- type: mrr_at_1
value: 16.743
- type: mrr_at_10
value: 26.033
- type: mrr_at_100
value: 27.290999999999997
- type: mrr_at_1000
value: 27.356
- type: mrr_at_3
value: 22.573
- type: mrr_at_5
value: 24.336
- type: ndcg_at_1
value: 16.743
- type: ndcg_at_10
value: 19.675
- type: ndcg_at_100
value: 27.345000000000002
- type: ndcg_at_1000
value: 31.685999999999996
- type: ndcg_at_3
value: 15.036
- type: ndcg_at_5
value: 16.643
- type: precision_at_1
value: 16.743
- type: precision_at_10
value: 6.43
- type: precision_at_100
value: 1.4749999999999999
- type: precision_at_1000
value: 0.22599999999999998
- type: precision_at_3
value: 11.01
- type: precision_at_5
value: 8.924999999999999
- type: recall_at_1
value: 7.872999999999999
- type: recall_at_10
value: 25.026
- type: recall_at_100
value: 52.245
- type: recall_at_1000
value: 76.949
- type: recall_at_3
value: 13.962
- type: recall_at_5
value: 18.085
- task:
type: Retrieval
dataset:
type: mteb/dbpedia
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 8.586
- type: map_at_10
value: 17.098
- type: map_at_100
value: 23.857
- type: map_at_1000
value: 25.357000000000003
- type: map_at_3
value: 12.574
- type: map_at_5
value: 14.374999999999998
- type: mrr_at_1
value: 59.5
- type: mrr_at_10
value: 68.199
- type: mrr_at_100
value: 68.699
- type: mrr_at_1000
value: 68.71199999999999
- type: mrr_at_3
value: 65.958
- type: mrr_at_5
value: 67.38300000000001
- type: ndcg_at_1
value: 48.625
- type: ndcg_at_10
value: 36.064
- type: ndcg_at_100
value: 41.137
- type: ndcg_at_1000
value: 49.08
- type: ndcg_at_3
value: 39.615
- type: ndcg_at_5
value: 37.080999999999996
- type: precision_at_1
value: 59.5
- type: precision_at_10
value: 28.050000000000004
- type: precision_at_100
value: 9.133
- type: precision_at_1000
value: 1.8960000000000001
- type: precision_at_3
value: 42.75
- type: precision_at_5
value: 35.25
- type: recall_at_1
value: 8.586
- type: recall_at_10
value: 23.148
- type: recall_at_100
value: 48.479
- type: recall_at_1000
value: 73.75500000000001
- type: recall_at_3
value: 13.718
- type: recall_at_5
value: 16.862
- task:
type: Classification
dataset:
type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 47.440000000000005
- type: f1
value: 40.19931464357708
- task:
type: Retrieval
dataset:
type: mteb/fever
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 50.544
- type: map_at_10
value: 63.495000000000005
- type: map_at_100
value: 64.005
- type: map_at_1000
value: 64.023
- type: map_at_3
value: 60.937
- type: map_at_5
value: 62.556
- type: mrr_at_1
value: 54.379999999999995
- type: mrr_at_10
value: 67.266
- type: mrr_at_100
value: 67.647
- type: mrr_at_1000
value: 67.65299999999999
- type: mrr_at_3
value: 64.85600000000001
- type: mrr_at_5
value: 66.402
- type: ndcg_at_1
value: 54.379999999999995
- type: ndcg_at_10
value: 69.977
- type: ndcg_at_100
value: 72.045
- type: ndcg_at_1000
value: 72.404
- type: ndcg_at_3
value: 65.12299999999999
- type: ndcg_at_5
value: 67.843
- type: precision_at_1
value: 54.379999999999995
- type: precision_at_10
value: 9.469
- type: precision_at_100
value: 1.0670000000000002
- type: precision_at_1000
value: 0.11199999999999999
- type: precision_at_3
value: 26.533
- type: precision_at_5
value: 17.441000000000003
- type: recall_at_1
value: 50.544
- type: recall_at_10
value: 86.253
- type: recall_at_100
value: 94.92699999999999
- type: recall_at_1000
value: 97.301
- type: recall_at_3
value: 73.215
- type: recall_at_5
value: 79.81899999999999
- task:
type: Retrieval
dataset:
type: mteb/fiqa
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 18.027
- type: map_at_10
value: 28.347
- type: map_at_100
value: 30.123
- type: map_at_1000
value: 30.284
- type: map_at_3
value: 24.862000000000002
- type: map_at_5
value: 26.698
- type: mrr_at_1
value: 34.105000000000004
- type: mrr_at_10
value: 42.747
- type: mrr_at_100
value: 43.672
- type: mrr_at_1000
value: 43.723
- type: mrr_at_3
value: 40.303
- type: mrr_at_5
value: 41.6
- type: ndcg_at_1
value: 34.105000000000004
- type: ndcg_at_10
value: 35.495
- type: ndcg_at_100
value: 42.447
- type: ndcg_at_1000
value: 45.537
- type: ndcg_at_3
value: 31.911
- type: ndcg_at_5
value: 32.995999999999995
- type: precision_at_1
value: 34.105000000000004
- type: precision_at_10
value: 9.738
- type: precision_at_100
value: 1.687
- type: precision_at_1000
value: 0.22399999999999998
- type: precision_at_3
value: 20.988
- type: precision_at_5
value: 15.432000000000002
- type: recall_at_1
value: 18.027
- type: recall_at_10
value: 41.897
- type: recall_at_100
value: 67.949
- type: recall_at_1000
value: 86.735
- type: recall_at_3
value: 29.342000000000002
- type: recall_at_5
value: 34.365
- task:
type: Retrieval
dataset:
type: mteb/hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 35.409
- type: map_at_10
value: 55.894
- type: map_at_100
value: 56.838
- type: map_at_1000
value: 56.901999999999994
- type: map_at_3
value: 52.074
- type: map_at_5
value: 54.429
- type: mrr_at_1
value: 70.817
- type: mrr_at_10
value: 78.532
- type: mrr_at_100
value: 78.755
- type: mrr_at_1000
value: 78.763
- type: mrr_at_3
value: 77.171
- type: mrr_at_5
value: 78.03
- type: ndcg_at_1
value: 70.817
- type: ndcg_at_10
value: 64.995
- type: ndcg_at_100
value: 68.27499999999999
- type: ndcg_at_1000
value: 69.525
- type: ndcg_at_3
value: 59.401
- type: ndcg_at_5
value: 62.471
- type: precision_at_1
value: 70.817
- type: precision_at_10
value: 13.957
- type: precision_at_100
value: 1.651
- type: precision_at_1000
value: 0.182
- type: precision_at_3
value: 38.267
- type: precision_at_5
value: 25.385999999999996
- type: recall_at_1
value: 35.409
- type: recall_at_10
value: 69.784
- type: recall_at_100
value: 82.54599999999999
- type: recall_at_1000
value: 90.824
- type: recall_at_3
value: 57.4
- type: recall_at_5
value: 63.464
- task:
type: Classification
dataset:
type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 79.54679999999999
- type: ap
value: 73.47419341239319
- type: f1
value: 79.4507801491805
- task:
type: Retrieval
dataset:
type: mteb/msmarco
name: MTEB MSMARCO
config: default
split: test
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 2.465
- type: map_at_10
value: 15.237
- type: map_at_100
value: 39.974
- type: map_at_1000
value: 47.487
- type: map_at_3
value: 6.798
- type: map_at_5
value: 9.635
- type: mrr_at_1
value: 93.023
- type: mrr_at_10
value: 94.961
- type: mrr_at_100
value: 95.041
- type: mrr_at_1000
value: 95.041
- type: mrr_at_3
value: 94.961
- type: mrr_at_5
value: 94.961
- type: ndcg_at_1
value: 75.194
- type: ndcg_at_10
value: 68.715
- type: ndcg_at_100
value: 64.191
- type: ndcg_at_1000
value: 71.192
- type: ndcg_at_3
value: 73.085
- type: ndcg_at_5
value: 72.817
- type: precision_at_1
value: 93.023
- type: precision_at_10
value: 76.512
- type: precision_at_100
value: 37.698
- type: precision_at_1000
value: 6.851
- type: precision_at_3
value: 88.372
- type: precision_at_5
value: 84.651
- type: recall_at_1
value: 2.465
- type: recall_at_10
value: 16.181
- type: recall_at_100
value: 52.515
- type: recall_at_1000
value: 77.483
- type: recall_at_3
value: 6.922000000000001
- type: recall_at_5
value: 9.945
- task:
type: Classification
dataset:
type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 90.48335613315092
- type: f1
value: 90.3575395041569
- task:
type: Classification
dataset:
type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 58.10533515731875
- type: f1
value: 41.93379347349137
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 65.60524546065906
- type: f1
value: 62.37255545904355
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.049092131809
- type: f1
value: 70.19452987909062
- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 31.698383065423773
- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 27.763066538701253
- task:
type: Reranking
dataset:
type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.320838995172895
- type: mrr
value: 31.223609863654694
- task:
type: Retrieval
dataset:
type: mteb/nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 5.127000000000001
- type: map_at_10
value: 11.395
- type: map_at_100
value: 14.252999999999998
- type: map_at_1000
value: 15.601
- type: map_at_3
value: 8.327
- type: map_at_5
value: 9.637
- type: mrr_at_1
value: 42.105
- type: mrr_at_10
value: 50.495000000000005
- type: mrr_at_100
value: 51.175000000000004
- type: mrr_at_1000
value: 51.217999999999996
- type: mrr_at_3
value: 48.452
- type: mrr_at_5
value: 49.830000000000005
- type: ndcg_at_1
value: 40.093
- type: ndcg_at_10
value: 31.806
- type: ndcg_at_100
value: 28.949
- type: ndcg_at_1000
value: 37.655
- type: ndcg_at_3
value: 36.692
- type: ndcg_at_5
value: 34.348
- type: precision_at_1
value: 41.486000000000004
- type: precision_at_10
value: 23.777
- type: precision_at_100
value: 7.457999999999999
- type: precision_at_1000
value: 2.018
- type: precision_at_3
value: 34.572
- type: precision_at_5
value: 29.536
- type: recall_at_1
value: 5.127000000000001
- type: recall_at_10
value: 15.427
- type: recall_at_100
value: 29.206
- type: recall_at_1000
value: 60.716
- type: recall_at_3
value: 9.261999999999999
- type: recall_at_5
value: 11.677999999999999
- task:
type: Retrieval
dataset:
type: mteb/nq
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 29.275000000000002
- type: map_at_10
value: 44.374
- type: map_at_100
value: 45.405
- type: map_at_1000
value: 45.437
- type: map_at_3
value: 40.028000000000006
- type: map_at_5
value: 42.492999999999995
- type: mrr_at_1
value: 32.966
- type: mrr_at_10
value: 46.905
- type: mrr_at_100
value: 47.699999999999996
- type: mrr_at_1000
value: 47.721000000000004
- type: mrr_at_3
value: 43.308
- type: mrr_at_5
value: 45.458
- type: ndcg_at_1
value: 32.966
- type: ndcg_at_10
value: 52.151
- type: ndcg_at_100
value: 56.565
- type: ndcg_at_1000
value: 57.315000000000005
- type: ndcg_at_3
value: 43.973
- type: ndcg_at_5
value: 48.125
- type: precision_at_1
value: 32.966
- type: precision_at_10
value: 8.72
- type: precision_at_100
value: 1.121
- type: precision_at_1000
value: 0.11900000000000001
- type: precision_at_3
value: 20.085
- type: precision_at_5
value: 14.45
- type: recall_at_1
value: 29.275000000000002
- type: recall_at_10
value: 73.288
- type: recall_at_100
value: 92.56
- type: recall_at_1000
value: 98.139
- type: recall_at_3
value: 52.11
- type: recall_at_5
value: 61.696
- task:
type: Retrieval
dataset:
type: mteb/quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
metrics:
- type: map_at_1
value: 67.537
- type: map_at_10
value: 80.879
- type: map_at_100
value: 81.577
- type: map_at_1000
value: 81.602
- type: map_at_3
value: 77.981
- type: map_at_5
value: 79.768
- type: mrr_at_1
value: 77.69
- type: mrr_at_10
value: 84.417
- type: mrr_at_100
value: 84.59299999999999
- type: mrr_at_1000
value: 84.596
- type: mrr_at_3
value: 83.26
- type: mrr_at_5
value: 84.023
- type: ndcg_at_1
value: 77.72
- type: ndcg_at_10
value: 85.021
- type: ndcg_at_100
value: 86.66199999999999
- type: ndcg_at_1000
value: 86.87700000000001
- type: ndcg_at_3
value: 81.90899999999999
- type: ndcg_at_5
value: 83.55
- type: precision_at_1
value: 77.72
- type: precision_at_10
value: 12.876999999999999
- type: precision_at_100
value: 1.498
- type: precision_at_1000
value: 0.156
- type: precision_at_3
value: 35.653
- type: precision_at_5
value: 23.476
- type: recall_at_1
value: 67.537
- type: recall_at_10
value: 92.878
- type: recall_at_100
value: 98.786
- type: recall_at_1000
value: 99.892
- type: recall_at_3
value: 83.968
- type: recall_at_5
value: 88.571
- task:
type: Clustering
dataset:
type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 49.16241148820256
- task:
type: Clustering
dataset:
type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
metrics:
- type: v_measure
value: 61.54900278834193
- task:
type: Retrieval
dataset:
type: mteb/scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
metrics:
- type: map_at_1
value: 4.173
- type: map_at_10
value: 10.120999999999999
- type: map_at_100
value: 11.956
- type: map_at_1000
value: 12.219
- type: map_at_3
value: 7.3580000000000005
- type: map_at_5
value: 8.799
- type: mrr_at_1
value: 20.599999999999998
- type: mrr_at_10
value: 30.326999999999998
- type: mrr_at_100
value: 31.412000000000003
- type: mrr_at_1000
value: 31.480000000000004
- type: mrr_at_3
value: 26.983
- type: mrr_at_5
value: 28.938000000000002
- type: ndcg_at_1
value: 20.599999999999998
- type: ndcg_at_10
value: 17.365
- type: ndcg_at_100
value: 24.623
- type: ndcg_at_1000
value: 29.65
- type: ndcg_at_3
value: 16.509999999999998
- type: ndcg_at_5
value: 14.542
- type: precision_at_1
value: 20.599999999999998
- type: precision_at_10
value: 8.98
- type: precision_at_100
value: 1.939
- type: precision_at_1000
value: 0.315
- type: precision_at_3
value: 15.4
- type: precision_at_5
value: 12.8
- type: recall_at_1
value: 4.173
- type: recall_at_10
value: 18.212999999999997
- type: recall_at_100
value: 39.363
- type: recall_at_1000
value: 63.94499999999999
- type: recall_at_3
value: 9.373
- type: recall_at_5
value: 13.008000000000001
- task:
type: STS
dataset:
type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
metrics:
- type: cos_sim_pearson
value: 83.87431570350371
- type: cos_sim_spearman
value: 79.25074443392982
- type: euclidean_pearson
value: 80.9080554083112
- type: euclidean_spearman
value: 79.2507399109411
- type: manhattan_pearson
value: 80.90956765983888
- type: manhattan_spearman
value: 79.20576643481074
- task:
type: STS
dataset:
type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 83.48662954870734
- type: cos_sim_spearman
value: 73.70799073411621
- type: euclidean_pearson
value: 80.49103960387095
- type: euclidean_spearman
value: 73.7055087532169
- type: manhattan_pearson
value: 80.5783519196888
- type: manhattan_spearman
value: 73.90297846138822
- task:
type: STS
dataset:
type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 80.70595293210951
- type: cos_sim_spearman
value: 82.31727223815786
- type: euclidean_pearson
value: 81.5306062072953
- type: euclidean_spearman
value: 82.31721735735299
- type: manhattan_pearson
value: 81.43418231655517
- type: manhattan_spearman
value: 82.20026619822572
- task:
type: STS
dataset:
type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 81.24706825802423
- type: cos_sim_spearman
value: 80.06920825678749
- type: euclidean_pearson
value: 80.48334698932342
- type: euclidean_spearman
value: 80.06918911208002
- type: manhattan_pearson
value: 80.40681414406772
- type: manhattan_spearman
value: 80.0102866792831
- task:
type: STS
dataset:
type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 86.16929217014857
- type: cos_sim_spearman
value: 87.2100080395613
- type: euclidean_pearson
value: 86.4066737251256
- type: euclidean_spearman
value: 87.20998056215564
- type: manhattan_pearson
value: 86.39080868256596
- type: manhattan_spearman
value: 87.1927937048571
- task:
type: STS
dataset:
type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 80.53662089031329
- type: cos_sim_spearman
value: 82.33056272292711
- type: euclidean_pearson
value: 81.40056519211387
- type: euclidean_spearman
value: 82.33056272292711
- type: manhattan_pearson
value: 81.27845573928735
- type: manhattan_spearman
value: 82.22192854693785
- task:
type: STS
dataset:
type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 87.66415281856406
- type: cos_sim_spearman
value: 87.58094863633612
- type: euclidean_pearson
value: 88.25085288996081
- type: euclidean_spearman
value: 87.58094863633612
- type: manhattan_pearson
value: 88.34016528668018
- type: manhattan_spearman
value: 87.67773968789653
- task:
type: STS
dataset:
type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 65.91354529556227
- type: cos_sim_spearman
value: 66.29904599827411
- type: euclidean_pearson
value: 66.99135025654104
- type: euclidean_spearman
value: 66.29904599827411
- type: manhattan_pearson
value: 67.29167796154489
- type: manhattan_spearman
value: 66.54035688112117
- task:
type: STS
dataset:
type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 83.17371544155577
- type: cos_sim_spearman
value: 84.91600230031912
- type: euclidean_pearson
value: 84.58535536355062
- type: euclidean_spearman
value: 84.91603828194314
- type: manhattan_pearson
value: 84.52786631260929
- type: manhattan_spearman
value: 84.8279451537192
- task:
type: Reranking
dataset:
type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 79.90931256553237
- type: mrr
value: 94.55430462783404
- task:
type: Retrieval
dataset:
type: mteb/scifact
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 52.233
- type: map_at_10
value: 63.135
- type: map_at_100
value: 63.766999999999996
- type: map_at_1000
value: 63.788999999999994
- type: map_at_3
value: 60.374
- type: map_at_5
value: 62.11600000000001
- type: mrr_at_1
value: 54.333
- type: mrr_at_10
value: 64.208
- type: mrr_at_100
value: 64.687
- type: mrr_at_1000
value: 64.705
- type: mrr_at_3
value: 62.166999999999994
- type: mrr_at_5
value: 63.532999999999994
- type: ndcg_at_1
value: 54.333
- type: ndcg_at_10
value: 67.965
- type: ndcg_at_100
value: 70.709
- type: ndcg_at_1000
value: 71.221
- type: ndcg_at_3
value: 63.376
- type: ndcg_at_5
value: 65.977
- type: precision_at_1
value: 54.333
- type: precision_at_10
value: 9.167
- type: precision_at_100
value: 1.0630000000000002
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 25
- type: precision_at_5
value: 16.733
- type: recall_at_1
value: 52.233
- type: recall_at_10
value: 81.289
- type: recall_at_100
value: 93.767
- type: recall_at_1000
value: 97.667
- type: recall_at_3
value: 69.294
- type: recall_at_5
value: 75.64999999999999
- task:
type: PairClassification
dataset:
type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.8069306930693
- type: cos_sim_ap
value: 95.01715408250185
- type: cos_sim_f1
value: 90.27431421446383
- type: cos_sim_precision
value: 90.04975124378109
- type: cos_sim_recall
value: 90.5
- type: dot_accuracy
value: 99.8069306930693
- type: dot_ap
value: 95.01715420720572
- type: dot_f1
value: 90.27431421446383
- type: dot_precision
value: 90.04975124378109
- type: dot_recall
value: 90.5
- type: euclidean_accuracy
value: 99.8069306930693
- type: euclidean_ap
value: 95.01715408250185
- type: euclidean_f1
value: 90.27431421446383
- type: euclidean_precision
value: 90.04975124378109
- type: euclidean_recall
value: 90.5
- type: manhattan_accuracy
value: 99.8108910891089
- type: manhattan_ap
value: 95.08344895081773
- type: manhattan_f1
value: 90.2672718103883
- type: manhattan_precision
value: 91.04781281790437
- type: manhattan_recall
value: 89.5
- type: max_accuracy
value: 99.8108910891089
- type: max_ap
value: 95.08344895081773
- type: max_f1
value: 90.27431421446383
- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 56.77496100801627
- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 32.03980982336066
- task:
type: Reranking
dataset:
type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 49.92590367093363
- type: mrr
value: 50.72744249214838
- task:
type: Summarization
dataset:
type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.873523128424296
- type: cos_sim_spearman
value: 29.77696422152863
- type: dot_pearson
value: 29.873538265911392
- type: dot_spearman
value: 29.77696422152863
- task:
type: Retrieval
dataset:
type: mteb/trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
metrics:
- type: map_at_1
value: 0.16
- type: map_at_10
value: 1.196
- type: map_at_100
value: 6.525
- type: map_at_1000
value: 17.379
- type: map_at_3
value: 0.43299999999999994
- type: map_at_5
value: 0.687
- type: mrr_at_1
value: 64
- type: mrr_at_10
value: 76.467
- type: mrr_at_100
value: 76.533
- type: mrr_at_1000
value: 76.533
- type: mrr_at_3
value: 73.667
- type: mrr_at_5
value: 75.467
- type: ndcg_at_1
value: 56.99999999999999
- type: ndcg_at_10
value: 52.614000000000004
- type: ndcg_at_100
value: 41.677
- type: ndcg_at_1000
value: 41.565000000000005
- type: ndcg_at_3
value: 55.765
- type: ndcg_at_5
value: 55.553
- type: precision_at_1
value: 64
- type: precision_at_10
value: 56.8
- type: precision_at_100
value: 43.18
- type: precision_at_1000
value: 19.016
- type: precision_at_3
value: 60
- type: precision_at_5
value: 60.4
- type: recall_at_1
value: 0.16
- type: recall_at_10
value: 1.4909999999999999
- type: recall_at_100
value: 10.238999999999999
- type: recall_at_1000
value: 40.492
- type: recall_at_3
value: 0.486
- type: recall_at_5
value: 0.8099999999999999
- task:
type: Retrieval
dataset:
type: mteb/touche2020
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.078
- type: map_at_10
value: 4.777
- type: map_at_100
value: 8.552
- type: map_at_1000
value: 9.831
- type: map_at_3
value: 2.33
- type: map_at_5
value: 3.102
- type: mrr_at_1
value: 14.285999999999998
- type: mrr_at_10
value: 25.688
- type: mrr_at_100
value: 27.211000000000002
- type: mrr_at_1000
value: 27.262999999999998
- type: mrr_at_3
value: 20.408
- type: mrr_at_5
value: 23.265
- type: ndcg_at_1
value: 13.264999999999999
- type: ndcg_at_10
value: 13.225999999999999
- type: ndcg_at_100
value: 23.873
- type: ndcg_at_1000
value: 35.357
- type: ndcg_at_3
value: 11.162999999999998
- type: ndcg_at_5
value: 12.202
- type: precision_at_1
value: 14.285999999999998
- type: precision_at_10
value: 13.469000000000001
- type: precision_at_100
value: 5.592
- type: precision_at_1000
value: 1.278
- type: precision_at_3
value: 12.245000000000001
- type: precision_at_5
value: 13.877999999999998
- type: recall_at_1
value: 1.078
- type: recall_at_10
value: 10.094
- type: recall_at_100
value: 35.723
- type: recall_at_1000
value: 70.161
- type: recall_at_3
value: 3.078
- type: recall_at_5
value: 5.171
- task:
type: Classification
dataset:
type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
metrics:
- type: accuracy
value: 63.526
- type: ap
value: 11.499475362455422
- type: f1
value: 49.007047166853305
- task:
type: Classification
dataset:
type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 61.77136389360498
- type: f1
value: 61.60711673348749
- task:
type: Clustering
dataset:
type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 40.700597517044926
- task:
type: PairClassification
dataset:
type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 86.59474280264648
- type: cos_sim_ap
value: 75.2354882574253
- type: cos_sim_f1
value: 69.23641703377386
- type: cos_sim_precision
value: 64.55956184390689
- type: cos_sim_recall
value: 74.64379947229551
- type: dot_accuracy
value: 86.59474280264648
- type: dot_ap
value: 75.2355004100119
- type: dot_f1
value: 69.23641703377386
- type: dot_precision
value: 64.55956184390689
- type: dot_recall
value: 74.64379947229551
- type: euclidean_accuracy
value: 86.59474280264648
- type: euclidean_ap
value: 75.23549109559548
- type: euclidean_f1
value: 69.23641703377386
- type: euclidean_precision
value: 64.55956184390689
- type: euclidean_recall
value: 74.64379947229551
- type: manhattan_accuracy
value: 86.46361089586935
- type: manhattan_ap
value: 74.97783476285602
- type: manhattan_f1
value: 69.16030534351145
- type: manhattan_precision
value: 66.78132678132678
- type: manhattan_recall
value: 71.71503957783642
- type: max_accuracy
value: 86.59474280264648
- type: max_ap
value: 75.2355004100119
- type: max_f1
value: 69.23641703377386
- task:
type: PairClassification
dataset:
type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 89.03830480847596
- type: cos_sim_ap
value: 85.95577773962282
- type: cos_sim_f1
value: 78.27735233907043
- type: cos_sim_precision
value: 77.10231516056758
- type: cos_sim_recall
value: 79.48875885432707
- type: dot_accuracy
value: 89.03830480847596
- type: dot_ap
value: 85.95578535080806
- type: dot_f1
value: 78.27735233907043
- type: dot_precision
value: 77.10231516056758
- type: dot_recall
value: 79.48875885432707
- type: euclidean_accuracy
value: 89.03830480847596
- type: euclidean_ap
value: 85.95573921817162
- type: euclidean_f1
value: 78.27735233907043
- type: euclidean_precision
value: 77.10231516056758
- type: euclidean_recall
value: 79.48875885432707
- type: manhattan_accuracy
value: 88.9024721543059
- type: manhattan_ap
value: 85.89551017445959
- type: manhattan_f1
value: 78.19396487013964
- type: manhattan_precision
value: 76.28148799062683
- type: manhattan_recall
value: 80.20480443486295
- type: max_accuracy
value: 89.03830480847596
- type: max_ap
value: 85.95578535080806
- type: max_f1
value: 78.27735233907043