Model: TaylorAI/bge-micro-v2
Author: TaylorAI
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, onnx, safetensors, bert, feature-extraction, sentence-similarity, transformers, mteb, license:mit, model-index, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us
Card metadata: pipeline_tag: sentence-similarity
tags: sentence-transformers, feature-extraction, sentence-similarity, transformers, mteb
model-index: name: bge_micro
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 67.76119402985074
verified: no, type: ap
value: 29.637849284211114
verified: no, type: f1
value: 61.31181187111905
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 79.7547
verified: no, type: ap
value: 74.21401629809145
verified: no, type: f1
value: 79.65319615433783
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 37.452000000000005
verified: no, type: f1
value: 37.0245198854966
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.152
verified: no, type: map_at_10
value: 46.702
verified: no, type: map_at_100
value: 47.563
verified: no, type: map_at_1000
value: 47.567
verified: no, type: map_at_3
value: 42.058
verified: no, type: map_at_5
value: 44.608
verified: no, type: mrr_at_1
value: 32.006
verified: no, type: mrr_at_10
value: 47.064
verified: no, type: mrr_at_100
value: 47.910000000000004
verified: no, type: mrr_at_1000
value: 47.915
verified: no, type: mrr_at_3
value: 42.283
verified: no, type: mrr_at_5
value: 44.968
verified: no, type: ndcg_at_1
value: 31.152
verified: no, type: ndcg_at_10
value: 55.308
verified: no, type: ndcg_at_100
value: 58.965
verified: no, type: ndcg_at_1000
value: 59.067
verified: no, type: ndcg_at_3
value: 45.698
verified: no, type: ndcg_at_5
value: 50.296
verified: no, type: precision_at_1
value: 31.152
verified: no, type: precision_at_10
value: 8.279
verified: no, type: precision_at_100
value: 0.987
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 18.753
verified: no, type: precision_at_5
value: 13.485
verified: no, type: recall_at_1
value: 31.152
verified: no, type: recall_at_10
value: 82.788
verified: no, type: recall_at_100
value: 98.72
verified: no, type: recall_at_1000
value: 99.502
verified: no, type: recall_at_3
value: 56.259
verified: no, type: recall_at_5
value: 67.425
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 44.52692241938116
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 33.245710292773595
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 58.08493637155168
verified: no, type: mrr
value: 71.94378490084861
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 84.1602804378326
verified: no, type: cos_sim_spearman
value: 82.92478106365587
verified: no, type: euclidean_pearson
value: 82.27930167277077
verified: no, type: euclidean_spearman
value: 82.18560759458093
verified: no, type: manhattan_pearson
value: 82.34277425888187
verified: no, type: manhattan_spearman
value: 81.72776583704467
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 81.17207792207792
verified: no, type: f1
value: 81.09893836310513
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 36.109308463095516
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics: type: v_measure
value: 28.06048212317168
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.233999999999998
verified: no, type: map_at_10
value: 38.092999999999996
verified: no, type: map_at_100
value: 39.473
verified: no, type: map_at_1000
value: 39.614
verified: no, type: map_at_3
value: 34.839
verified: no, type: map_at_5
value: 36.523
verified: no, type: mrr_at_1
value: 35.193000000000005
verified: no, type: mrr_at_10
value: 44.089
verified: no, type: mrr_at_100
value: 44.927
verified: no, type: mrr_at_1000
value: 44.988
verified: no, type: mrr_at_3
value: 41.559000000000005
verified: no, type: mrr_at_5
value: 43.162
verified: no, type: ndcg_at_1
value: 35.193000000000005
verified: no, type: ndcg_at_10
value: 44.04
verified: no, type: ndcg_at_100
value: 49.262
verified: no, type: ndcg_at_1000
value: 51.847
verified: no, type: ndcg_at_3
value: 39.248
verified: no, type: ndcg_at_5
value: 41.298
verified: no, type: precision_at_1
value: 35.193000000000005
verified: no, type: precision_at_10
value: 8.555
verified: no, type: precision_at_100
value: 1.3820000000000001
verified: no, type: precision_at_1000
value: 0.189
verified: no, type: precision_at_3
value: 19.123
verified: no, type: precision_at_5
value: 13.648
verified: no, type: recall_at_1
value: 28.233999999999998
verified: no, type: recall_at_10
value: 55.094
verified: no, type: recall_at_100
value: 76.85300000000001
verified: no, type: recall_at_1000
value: 94.163
verified: no, type: recall_at_3
value: 40.782000000000004
verified: no, type: recall_at_5
value: 46.796
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 21.538
verified: no, type: map_at_10
value: 28.449
verified: no, type: map_at_100
value: 29.471000000000004
verified: no, type: map_at_1000
value: 29.599999999999998
verified: no, type: map_at_3
value: 26.371
verified: no, type: map_at_5
value: 27.58
verified: no, type: mrr_at_1
value: 26.815
verified: no, type: mrr_at_10
value: 33.331
verified: no, type: mrr_at_100
value: 34.114
verified: no, type: mrr_at_1000
value: 34.182
verified: no, type: mrr_at_3
value: 31.561
verified: no, type: mrr_at_5
value: 32.608
verified: no, type: ndcg_at_1
value: 26.815
verified: no, type: ndcg_at_10
value: 32.67
verified: no, type: ndcg_at_100
value: 37.039
verified: no, type: ndcg_at_1000
value: 39.769
verified: no, type: ndcg_at_3
value: 29.523
verified: no, type: ndcg_at_5
value: 31.048
verified: no, type: precision_at_1
value: 26.815
verified: no, type: precision_at_10
value: 5.955
verified: no, type: precision_at_100
value: 1.02
verified: no, type: precision_at_1000
value: 0.152
verified: no, type: precision_at_3
value: 14.033999999999999
verified: no, type: precision_at_5
value: 9.911
verified: no, type: recall_at_1
value: 21.538
verified: no, type: recall_at_10
value: 40.186
verified: no, type: recall_at_100
value: 58.948
verified: no, type: recall_at_1000
value: 77.158
verified: no, type: recall_at_3
value: 30.951
verified: no, type: recall_at_5
value: 35.276
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 35.211999999999996
verified: no, type: map_at_10
value: 46.562
verified: no, type: map_at_100
value: 47.579
verified: no, type: map_at_1000
value: 47.646
verified: no, type: map_at_3
value: 43.485
verified: no, type: map_at_5
value: 45.206
verified: no, type: mrr_at_1
value: 40.627
verified: no, type: mrr_at_10
value: 49.928
verified: no, type: mrr_at_100
value: 50.647
verified: no, type: mrr_at_1000
value: 50.685
verified: no, type: mrr_at_3
value: 47.513
verified: no, type: mrr_at_5
value: 48.958
verified: no, type: ndcg_at_1
value: 40.627
verified: no, type: ndcg_at_10
value: 52.217
verified: no, type: ndcg_at_100
value: 56.423
verified: no, type: ndcg_at_1000
value: 57.821999999999996
verified: no, type: ndcg_at_3
value: 46.949000000000005
verified: no, type: ndcg_at_5
value: 49.534
verified: no, type: precision_at_1
value: 40.627
verified: no, type: precision_at_10
value: 8.476
verified: no, type: precision_at_100
value: 1.15
verified: no, type: precision_at_1000
value: 0.132
verified: no, type: precision_at_3
value: 21.003
verified: no, type: precision_at_5
value: 14.469999999999999
verified: no, type: recall_at_1
value: 35.211999999999996
verified: no, type: recall_at_10
value: 65.692
verified: no, type: recall_at_100
value: 84.011
verified: no, type: recall_at_1000
value: 94.03099999999999
verified: no, type: recall_at_3
value: 51.404
verified: no, type: recall_at_5
value: 57.882
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.09
verified: no, type: map_at_10
value: 29.516
verified: no, type: map_at_100
value: 30.462
verified: no, type: map_at_1000
value: 30.56
verified: no, type: map_at_3
value: 26.945000000000004
verified: no, type: map_at_5
value: 28.421999999999997
verified: no, type: mrr_at_1
value: 23.616
verified: no, type: mrr_at_10
value: 31.221
verified: no, type: mrr_at_100
value: 32.057
verified: no, type: mrr_at_1000
value: 32.137
verified: no, type: mrr_at_3
value: 28.738000000000003
verified: no, type: mrr_at_5
value: 30.156
verified: no, type: ndcg_at_1
value: 23.616
verified: no, type: ndcg_at_10
value: 33.97
verified: no, type: ndcg_at_100
value: 38.806000000000004
verified: no, type: ndcg_at_1000
value: 41.393
verified: no, type: ndcg_at_3
value: 28.908
verified: no, type: ndcg_at_5
value: 31.433
verified: no, type: precision_at_1
value: 23.616
verified: no, type: precision_at_10
value: 5.299
verified: no, type: precision_at_100
value: 0.812
verified: no, type: precision_at_1000
value: 0.107
verified: no, type: precision_at_3
value: 12.015
verified: no, type: precision_at_5
value: 8.701
verified: no, type: recall_at_1
value: 22.09
verified: no, type: recall_at_10
value: 46.089999999999996
verified: no, type: recall_at_100
value: 68.729
verified: no, type: recall_at_1000
value: 88.435
verified: no, type: recall_at_3
value: 32.584999999999994
verified: no, type: recall_at_5
value: 38.550000000000004
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 15.469
verified: no, type: map_at_10
value: 22.436
verified: no, type: map_at_100
value: 23.465
verified: no, type: map_at_1000
value: 23.608999999999998
verified: no, type: map_at_3
value: 19.716
verified: no, type: map_at_5
value: 21.182000000000002
verified: no, type: mrr_at_1
value: 18.905
verified: no, type: mrr_at_10
value: 26.55
verified: no, type: mrr_at_100
value: 27.46
verified: no, type: mrr_at_1000
value: 27.553
verified: no, type: mrr_at_3
value: 23.921999999999997
verified: no, type: mrr_at_5
value: 25.302999999999997
verified: no, type: ndcg_at_1
value: 18.905
verified: no, type: ndcg_at_10
value: 27.437
verified: no, type: ndcg_at_100
value: 32.555
verified: no, type: ndcg_at_1000
value: 35.885
verified: no, type: ndcg_at_3
value: 22.439
verified: no, type: ndcg_at_5
value: 24.666
verified: no, type: precision_at_1
value: 18.905
verified: no, type: precision_at_10
value: 5.2490000000000006
verified: no, type: precision_at_100
value: 0.889
verified: no, type: precision_at_1000
value: 0.131
verified: no, type: precision_at_3
value: 10.862
verified: no, type: precision_at_5
value: 8.085
verified: no, type: recall_at_1
value: 15.469
verified: no, type: recall_at_10
value: 38.706
verified: no, type: recall_at_100
value: 61.242
verified: no, type: recall_at_1000
value: 84.84
verified: no, type: recall_at_3
value: 24.973
verified: no, type: recall_at_5
value: 30.603
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.918000000000003
verified: no, type: map_at_10
value: 34.296
verified: no, type: map_at_100
value: 35.632000000000005
verified: no, type: map_at_1000
value: 35.748999999999995
verified: no, type: map_at_3
value: 31.304
verified: no, type: map_at_5
value: 33.166000000000004
verified: no, type: mrr_at_1
value: 30.703000000000003
verified: no, type: mrr_at_10
value: 39.655
verified: no, type: mrr_at_100
value: 40.569
verified: no, type: mrr_at_1000
value: 40.621
verified: no, type: mrr_at_3
value: 37.023
verified: no, type: mrr_at_5
value: 38.664
verified: no, type: ndcg_at_1
value: 30.703000000000003
verified: no, type: ndcg_at_10
value: 39.897
verified: no, type: ndcg_at_100
value: 45.777
verified: no, type: ndcg_at_1000
value: 48.082
verified: no, type: ndcg_at_3
value: 35.122
verified: no, type: ndcg_at_5
value: 37.691
verified: no, type: precision_at_1
value: 30.703000000000003
verified: no, type: precision_at_10
value: 7.305000000000001
verified: no, type: precision_at_100
value: 1.208
verified: no, type: precision_at_1000
value: 0.159
verified: no, type: precision_at_3
value: 16.811
verified: no, type: precision_at_5
value: 12.203999999999999
verified: no, type: recall_at_1
value: 24.918000000000003
verified: no, type: recall_at_10
value: 51.31
verified: no, type: recall_at_100
value: 76.534
verified: no, type: recall_at_1000
value: 91.911
verified: no, type: recall_at_3
value: 37.855
verified: no, type: recall_at_5
value: 44.493
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.416
verified: no, type: map_at_10
value: 30.474
verified: no, type: map_at_100
value: 31.759999999999998
verified: no, type: map_at_1000
value: 31.891000000000002
verified: no, type: map_at_3
value: 27.728
verified: no, type: map_at_5
value: 29.247
verified: no, type: mrr_at_1
value: 28.881
verified: no, type: mrr_at_10
value: 36.418
verified: no, type: mrr_at_100
value: 37.347
verified: no, type: mrr_at_1000
value: 37.415
verified: no, type: mrr_at_3
value: 33.942
verified: no, type: mrr_at_5
value: 35.386
verified: no, type: ndcg_at_1
value: 28.881
verified: no, type: ndcg_at_10
value: 35.812
verified: no, type: ndcg_at_100
value: 41.574
verified: no, type: ndcg_at_1000
value: 44.289
verified: no, type: ndcg_at_3
value: 31.239
verified: no, type: ndcg_at_5
value: 33.302
verified: no, type: precision_at_1
value: 28.881
verified: no, type: precision_at_10
value: 6.598
verified: no, type: precision_at_100
value: 1.1079999999999999
verified: no, type: precision_at_1000
value: 0.151
verified: no, type: precision_at_3
value: 14.954
verified: no, type: precision_at_5
value: 10.776
verified: no, type: recall_at_1
value: 22.416
verified: no, type: recall_at_10
value: 46.243
verified: no, type: recall_at_100
value: 71.352
verified: no, type: recall_at_1000
value: 90.034
verified: no, type: recall_at_3
value: 32.873000000000005
verified: no, type: recall_at_5
value: 38.632
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.528166666666667
verified: no, type: map_at_10
value: 30.317833333333333
verified: no, type: map_at_100
value: 31.44108333333333
verified: no, type: map_at_1000
value: 31.566666666666666
verified: no, type: map_at_3
value: 27.84425
verified: no, type: map_at_5
value: 29.233333333333334
verified: no, type: mrr_at_1
value: 26.75733333333333
verified: no, type: mrr_at_10
value: 34.24425
verified: no, type: mrr_at_100
value: 35.11375
verified: no, type: mrr_at_1000
value: 35.184333333333335
verified: no, type: mrr_at_3
value: 32.01225
verified: no, type: mrr_at_5
value: 33.31225
verified: no, type: ndcg_at_1
value: 26.75733333333333
verified: no, type: ndcg_at_10
value: 35.072583333333334
verified: no, type: ndcg_at_100
value: 40.13358333333334
verified: no, type: ndcg_at_1000
value: 42.81825
verified: no, type: ndcg_at_3
value: 30.79275000000001
verified: no, type: ndcg_at_5
value: 32.822
verified: no, type: precision_at_1
value: 26.75733333333333
verified: no, type: precision_at_10
value: 6.128083333333334
verified: no, type: precision_at_100
value: 1.019
verified: no, type: precision_at_1000
value: 0.14391666666666664
verified: no, type: precision_at_3
value: 14.129916666666665
verified: no, type: precision_at_5
value: 10.087416666666668
verified: no, type: recall_at_1
value: 22.528166666666667
verified: no, type: recall_at_10
value: 45.38341666666667
verified: no, type: recall_at_100
value: 67.81791666666668
verified: no, type: recall_at_1000
value: 86.71716666666666
verified: no, type: recall_at_3
value: 33.38741666666667
verified: no, type: recall_at_5
value: 38.62041666666667
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 21.975
verified: no, type: map_at_10
value: 28.144999999999996
verified: no, type: map_at_100
value: 28.994999999999997
verified: no, type: map_at_1000
value: 29.086000000000002
verified: no, type: map_at_3
value: 25.968999999999998
verified: no, type: map_at_5
value: 27.321
verified: no, type: mrr_at_1
value: 25
verified: no, type: mrr_at_10
value: 30.822
verified: no, type: mrr_at_100
value: 31.647
verified: no, type: mrr_at_1000
value: 31.712
verified: no, type: mrr_at_3
value: 28.860000000000003
verified: no, type: mrr_at_5
value: 30.041
verified: no, type: ndcg_at_1
value: 25
verified: no, type: ndcg_at_10
value: 31.929999999999996
verified: no, type: ndcg_at_100
value: 36.258
verified: no, type: ndcg_at_1000
value: 38.682
verified: no, type: ndcg_at_3
value: 27.972
verified: no, type: ndcg_at_5
value: 30.089
verified: no, type: precision_at_1
value: 25
verified: no, type: precision_at_10
value: 4.923
verified: no, type: precision_at_100
value: 0.767
verified: no, type: precision_at_1000
value: 0.106
verified: no, type: precision_at_3
value: 11.860999999999999
verified: no, type: precision_at_5
value: 8.466
verified: no, type: recall_at_1
value: 21.975
verified: no, type: recall_at_10
value: 41.102
verified: no, type: recall_at_100
value: 60.866
verified: no, type: recall_at_1000
value: 78.781
verified: no, type: recall_at_3
value: 30.268
verified: no, type: recall_at_5
value: 35.552
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 15.845999999999998
verified: no, type: map_at_10
value: 21.861
verified: no, type: map_at_100
value: 22.798
verified: no, type: map_at_1000
value: 22.925
verified: no, type: map_at_3
value: 19.922
verified: no, type: map_at_5
value: 21.054000000000002
verified: no, type: mrr_at_1
value: 19.098000000000003
verified: no, type: mrr_at_10
value: 25.397
verified: no, type: mrr_at_100
value: 26.246000000000002
verified: no, type: mrr_at_1000
value: 26.33
verified: no, type: mrr_at_3
value: 23.469
verified: no, type: mrr_at_5
value: 24.646
verified: no, type: ndcg_at_1
value: 19.098000000000003
verified: no, type: ndcg_at_10
value: 25.807999999999996
verified: no, type: ndcg_at_100
value: 30.445
verified: no, type: ndcg_at_1000
value: 33.666000000000004
verified: no, type: ndcg_at_3
value: 22.292
verified: no, type: ndcg_at_5
value: 24.075
verified: no, type: precision_at_1
value: 19.098000000000003
verified: no, type: precision_at_10
value: 4.58
verified: no, type: precision_at_100
value: 0.8099999999999999
verified: no, type: precision_at_1000
value: 0.126
verified: no, type: precision_at_3
value: 10.346
verified: no, type: precision_at_5
value: 7.542999999999999
verified: no, type: recall_at_1
value: 15.845999999999998
verified: no, type: recall_at_10
value: 34.172999999999995
verified: no, type: recall_at_100
value: 55.24099999999999
verified: no, type: recall_at_1000
value: 78.644
verified: no, type: recall_at_3
value: 24.401
verified: no, type: recall_at_5
value: 28.938000000000002
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.974
verified: no, type: map_at_10
value: 30.108
verified: no, type: map_at_100
value: 31.208000000000002
verified: no, type: map_at_1000
value: 31.330999999999996
verified: no, type: map_at_3
value: 27.889999999999997
verified: no, type: map_at_5
value: 29.023
verified: no, type: mrr_at_1
value: 26.493
verified: no, type: mrr_at_10
value: 33.726
verified: no, type: mrr_at_100
value: 34.622
verified: no, type: mrr_at_1000
value: 34.703
verified: no, type: mrr_at_3
value: 31.575999999999997
verified: no, type: mrr_at_5
value: 32.690999999999995
verified: no, type: ndcg_at_1
value: 26.493
verified: no, type: ndcg_at_10
value: 34.664
verified: no, type: ndcg_at_100
value: 39.725
verified: no, type: ndcg_at_1000
value: 42.648
verified: no, type: ndcg_at_3
value: 30.447999999999997
verified: no, type: ndcg_at_5
value: 32.145
verified: no, type: precision_at_1
value: 26.493
verified: no, type: precision_at_10
value: 5.7090000000000005
verified: no, type: precision_at_100
value: 0.9199999999999999
verified: no, type: precision_at_1000
value: 0.129
verified: no, type: precision_at_3
value: 13.464
verified: no, type: precision_at_5
value: 9.384
verified: no, type: recall_at_1
value: 22.974
verified: no, type: recall_at_10
value: 45.097
verified: no, type: recall_at_100
value: 66.908
verified: no, type: recall_at_1000
value: 87.495
verified: no, type: recall_at_3
value: 33.338
verified: no, type: recall_at_5
value: 37.499
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.408
verified: no, type: map_at_10
value: 29.580000000000002
verified: no, type: map_at_100
value: 31.145
verified: no, type: map_at_1000
value: 31.369000000000003
verified: no, type: map_at_3
value: 27.634999999999998
verified: no, type: map_at_5
value: 28.766000000000002
verified: no, type: mrr_at_1
value: 27.272999999999996
verified: no, type: mrr_at_10
value: 33.93
verified: no, type: mrr_at_100
value: 34.963
verified: no, type: mrr_at_1000
value: 35.031
verified: no, type: mrr_at_3
value: 32.016
verified: no, type: mrr_at_5
value: 33.221000000000004
verified: no, type: ndcg_at_1
value: 27.272999999999996
verified: no, type: ndcg_at_10
value: 33.993
verified: no, type: ndcg_at_100
value: 40.333999999999996
verified: no, type: ndcg_at_1000
value: 43.361
verified: no, type: ndcg_at_3
value: 30.918
verified: no, type: ndcg_at_5
value: 32.552
verified: no, type: precision_at_1
value: 27.272999999999996
verified: no, type: precision_at_10
value: 6.285
verified: no, type: precision_at_100
value: 1.389
verified: no, type: precision_at_1000
value: 0.232
verified: no, type: precision_at_3
value: 14.427000000000001
verified: no, type: precision_at_5
value: 10.356
verified: no, type: recall_at_1
value: 22.408
verified: no, type: recall_at_10
value: 41.318
verified: no, type: recall_at_100
value: 70.539
verified: no, type: recall_at_1000
value: 90.197
verified: no, type: recall_at_3
value: 32.513
verified: no, type: recall_at_5
value: 37
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.258000000000003
verified: no, type: map_at_10
value: 24.294
verified: no, type: map_at_100
value: 25.305
verified: no, type: map_at_1000
value: 25.419999999999998
verified: no, type: map_at_3
value: 22.326999999999998
verified: no, type: map_at_5
value: 23.31
verified: no, type: mrr_at_1
value: 18.484
verified: no, type: mrr_at_10
value: 25.863999999999997
verified: no, type: mrr_at_100
value: 26.766000000000002
verified: no, type: mrr_at_1000
value: 26.855
verified: no, type: mrr_at_3
value: 23.968
verified: no, type: mrr_at_5
value: 24.911
verified: no, type: ndcg_at_1
value: 18.484
verified: no, type: ndcg_at_10
value: 28.433000000000003
verified: no, type: ndcg_at_100
value: 33.405
verified: no, type: ndcg_at_1000
value: 36.375
verified: no, type: ndcg_at_3
value: 24.455
verified: no, type: ndcg_at_5
value: 26.031
verified: no, type: precision_at_1
value: 18.484
verified: no, type: precision_at_10
value: 4.603
verified: no, type: precision_at_100
value: 0.773
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 10.659
verified: no, type: precision_at_5
value: 7.505000000000001
verified: no, type: recall_at_1
value: 17.258000000000003
verified: no, type: recall_at_10
value: 39.589999999999996
verified: no, type: recall_at_100
value: 62.592000000000006
verified: no, type: recall_at_1000
value: 84.917
verified: no, type: recall_at_3
value: 28.706
verified: no, type: recall_at_5
value: 32.224000000000004
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 10.578999999999999
verified: no, type: map_at_10
value: 17.642
verified: no, type: map_at_100
value: 19.451
verified: no, type: map_at_1000
value: 19.647000000000002
verified: no, type: map_at_3
value: 14.618
verified: no, type: map_at_5
value: 16.145
verified: no, type: mrr_at_1
value: 23.322000000000003
verified: no, type: mrr_at_10
value: 34.204
verified: no, type: mrr_at_100
value: 35.185
verified: no, type: mrr_at_1000
value: 35.235
verified: no, type: mrr_at_3
value: 30.847
verified: no, type: mrr_at_5
value: 32.824
verified: no, type: ndcg_at_1
value: 23.322000000000003
verified: no, type: ndcg_at_10
value: 25.352999999999998
verified: no, type: ndcg_at_100
value: 32.574
verified: no, type: ndcg_at_1000
value: 36.073
verified: no, type: ndcg_at_3
value: 20.318
verified: no, type: ndcg_at_5
value: 22.111
verified: no, type: precision_at_1
value: 23.322000000000003
verified: no, type: precision_at_10
value: 8.02
verified: no, type: precision_at_100
value: 1.5730000000000002
verified: no, type: precision_at_1000
value: 0.22200000000000003
verified: no, type: precision_at_3
value: 15.049000000000001
verified: no, type: precision_at_5
value: 11.87
verified: no, type: recall_at_1
value: 10.578999999999999
verified: no, type: recall_at_10
value: 30.964999999999996
verified: no, type: recall_at_100
value: 55.986000000000004
verified: no, type: recall_at_1000
value: 75.565
verified: no, type: recall_at_3
value: 18.686
verified: no, type: recall_at_5
value: 23.629
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 7.327
verified: no, type: map_at_10
value: 14.904
verified: no, type: map_at_100
value: 20.29
verified: no, type: map_at_1000
value: 21.42
verified: no, type: map_at_3
value: 10.911
verified: no, type: map_at_5
value: 12.791
verified: no, type: mrr_at_1
value: 57.25
verified: no, type: mrr_at_10
value: 66.62700000000001
verified: no, type: mrr_at_100
value: 67.035
verified: no, type: mrr_at_1000
value: 67.052
verified: no, type: mrr_at_3
value: 64.833
verified: no, type: mrr_at_5
value: 65.908
verified: no, type: ndcg_at_1
value: 43.75
verified: no, type: ndcg_at_10
value: 32.246
verified: no, type: ndcg_at_100
value: 35.774
verified: no, type: ndcg_at_1000
value: 42.872
verified: no, type: ndcg_at_3
value: 36.64
verified: no, type: ndcg_at_5
value: 34.487
verified: no, type: precision_at_1
value: 57.25
verified: no, type: precision_at_10
value: 25.924999999999997
verified: no, type: precision_at_100
value: 7.670000000000001
verified: no, type: precision_at_1000
value: 1.599
verified: no, type: precision_at_3
value: 41.167
verified: no, type: precision_at_5
value: 34.65
verified: no, type: recall_at_1
value: 7.327
verified: no, type: recall_at_10
value: 19.625
verified: no, type: recall_at_100
value: 41.601
verified: no, type: recall_at_1000
value: 65.117
verified: no, type: recall_at_3
value: 12.308
verified: no, type: recall_at_5
value: 15.437999999999999
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 44.53
verified: no, type: f1
value: 39.39884255816736
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 58.913000000000004
verified: no, type: map_at_10
value: 69.592
verified: no, type: map_at_100
value: 69.95599999999999
verified: no, type: map_at_1000
value: 69.973
verified: no, type: map_at_3
value: 67.716
verified: no, type: map_at_5
value: 68.899
verified: no, type: mrr_at_1
value: 63.561
verified: no, type: mrr_at_10
value: 74.2
verified: no, type: mrr_at_100
value: 74.468
verified: no, type: mrr_at_1000
value: 74.47500000000001
verified: no, type: mrr_at_3
value: 72.442
verified: no, type: mrr_at_5
value: 73.58
verified: no, type: ndcg_at_1
value: 63.561
verified: no, type: ndcg_at_10
value: 74.988
verified: no, type: ndcg_at_100
value: 76.52799999999999
verified: no, type: ndcg_at_1000
value: 76.88000000000001
verified: no, type: ndcg_at_3
value: 71.455
verified: no, type: ndcg_at_5
value: 73.42699999999999
verified: no, type: precision_at_1
value: 63.561
verified: no, type: precision_at_10
value: 9.547
verified: no, type: precision_at_100
value: 1.044
verified: no, type: precision_at_1000
value: 0.109
verified: no, type: precision_at_3
value: 28.143
verified: no, type: precision_at_5
value: 18.008
verified: no, type: recall_at_1
value: 58.913000000000004
verified: no, type: recall_at_10
value: 87.18
verified: no, type: recall_at_100
value: 93.852
verified: no, type: recall_at_1000
value: 96.256
verified: no, type: recall_at_3
value: 77.55199999999999
verified: no, type: recall_at_5
value: 82.42399999999999
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 11.761000000000001
verified: no, type: map_at_10
value: 19.564999999999998
verified: no, type: map_at_100
value: 21.099
verified: no, type: map_at_1000
value: 21.288999999999998
verified: no, type: map_at_3
value: 16.683999999999997
verified: no, type: map_at_5
value: 18.307000000000002
verified: no, type: mrr_at_1
value: 23.302
verified: no, type: mrr_at_10
value: 30.979
verified: no, type: mrr_at_100
value: 32.121
verified: no, type: mrr_at_1000
value: 32.186
verified: no, type: mrr_at_3
value: 28.549000000000003
verified: no, type: mrr_at_5
value: 30.038999999999998
verified: no, type: ndcg_at_1
value: 23.302
verified: no, type: ndcg_at_10
value: 25.592
verified: no, type: ndcg_at_100
value: 32.416
verified: no, type: ndcg_at_1000
value: 36.277
verified: no, type: ndcg_at_3
value: 22.151
verified: no, type: ndcg_at_5
value: 23.483999999999998
verified: no, type: precision_at_1
value: 23.302
verified: no, type: precision_at_10
value: 7.377000000000001
verified: no, type: precision_at_100
value: 1.415
verified: no, type: precision_at_1000
value: 0.212
verified: no, type: precision_at_3
value: 14.712
verified: no, type: precision_at_5
value: 11.358
verified: no, type: recall_at_1
value: 11.761000000000001
verified: no, type: recall_at_10
value: 31.696
verified: no, type: recall_at_100
value: 58.01500000000001
verified: no, type: recall_at_1000
value: 81.572
verified: no, type: recall_at_3
value: 20.742
verified: no, type: recall_at_5
value: 25.707
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.275
verified: no, type: map_at_10
value: 44.712
verified: no, type: map_at_100
value: 45.621
verified: no, type: map_at_1000
value: 45.698
verified: no, type: map_at_3
value: 42.016999999999996
verified: no, type: map_at_5
value: 43.659
verified: no, type: mrr_at_1
value: 64.551
verified: no, type: mrr_at_10
value: 71.58099999999999
verified: no, type: mrr_at_100
value: 71.952
verified: no, type: mrr_at_1000
value: 71.96900000000001
verified: no, type: mrr_at_3
value: 70.236
verified: no, type: mrr_at_5
value: 71.051
verified: no, type: ndcg_at_1
value: 64.551
verified: no, type: ndcg_at_10
value: 53.913999999999994
verified: no, type: ndcg_at_100
value: 57.421
verified: no, type: ndcg_at_1000
value: 59.06
verified: no, type: ndcg_at_3
value: 49.716
verified: no, type: ndcg_at_5
value: 51.971999999999994
verified: no, type: precision_at_1
value: 64.551
verified: no, type: precision_at_10
value: 11.110000000000001
verified: no, type: precision_at_100
value: 1.388
verified: no, type: precision_at_1000
value: 0.161
verified: no, type: precision_at_3
value: 30.822
verified: no, type: precision_at_5
value: 20.273
verified: no, type: recall_at_1
value: 32.275
verified: no, type: recall_at_10
value: 55.55
verified: no, type: recall_at_100
value: 69.38600000000001
verified: no, type: recall_at_1000
value: 80.35799999999999
verified: no, type: recall_at_3
value: 46.232
verified: no, type: recall_at_5
value: 50.682
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 76.4604
verified: no, type: ap
value: 70.40498168422701
verified: no, type: f1
value: 76.38572688476046
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 15.065999999999999
verified: no, type: map_at_10
value: 25.058000000000003
verified: no, type: map_at_100
value: 26.268
verified: no, type: map_at_1000
value: 26.344
verified: no, type: map_at_3
value: 21.626
verified: no, type: map_at_5
value: 23.513
verified: no, type: mrr_at_1
value: 15.501000000000001
verified: no, type: mrr_at_10
value: 25.548
verified: no, type: mrr_at_100
value: 26.723000000000003
verified: no, type: mrr_at_1000
value: 26.793
verified: no, type: mrr_at_3
value: 22.142
verified: no, type: mrr_at_5
value: 24.024
verified: no, type: ndcg_at_1
value: 15.501000000000001
verified: no, type: ndcg_at_10
value: 31.008000000000003
verified: no, type: ndcg_at_100
value: 37.08
verified: no, type: ndcg_at_1000
value: 39.102
verified: no, type: ndcg_at_3
value: 23.921999999999997
verified: no, type: ndcg_at_5
value: 27.307
verified: no, type: precision_at_1
value: 15.501000000000001
verified: no, type: precision_at_10
value: 5.155
verified: no, type: precision_at_100
value: 0.822
verified: no, type: precision_at_1000
value: 0.099
verified: no, type: precision_at_3
value: 10.363
verified: no, type: precision_at_5
value: 7.917000000000001
verified: no, type: recall_at_1
value: 15.065999999999999
verified: no, type: recall_at_10
value: 49.507
verified: no, type: recall_at_100
value: 78.118
verified: no, type: recall_at_1000
value: 93.881
verified: no, type: recall_at_3
value: 30.075000000000003
verified: no, type: recall_at_5
value: 38.222
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 90.6703146374829
verified: no, type: f1
value: 90.1258004293966
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 68.29229366165072
verified: no, type: f1
value: 50.016194478997875
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 68.57767316745124
verified: no, type: f1
value: 67.16194062146954
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 73.92064559515804
verified: no, type: f1
value: 73.6680729569968
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics: type: v_measure
value: 31.56335607367883
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 28.131807833734268
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.07390328719844
verified: no, type: mrr
value: 32.117370992867905
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.274
verified: no, type: map_at_10
value: 11.489
verified: no, type: map_at_100
value: 14.518
verified: no, type: map_at_1000
value: 15.914
verified: no, type: map_at_3
value: 8.399
verified: no, type: map_at_5
value: 9.889000000000001
verified: no, type: mrr_at_1
value: 42.724000000000004
verified: no, type: mrr_at_10
value: 51.486
verified: no, type: mrr_at_100
value: 51.941
verified: no, type: mrr_at_1000
value: 51.99
verified: no, type: mrr_at_3
value: 49.278
verified: no, type: mrr_at_5
value: 50.485
verified: no, type: ndcg_at_1
value: 39.938
verified: no, type: ndcg_at_10
value: 31.862000000000002
verified: no, type: ndcg_at_100
value: 29.235
verified: no, type: ndcg_at_1000
value: 37.802
verified: no, type: ndcg_at_3
value: 35.754999999999995
verified: no, type: ndcg_at_5
value: 34.447
verified: no, type: precision_at_1
value: 42.105
verified: no, type: precision_at_10
value: 23.901
verified: no, type: precision_at_100
value: 7.715
verified: no, type: precision_at_1000
value: 2.045
verified: no, type: precision_at_3
value: 33.437
verified: no, type: precision_at_5
value: 29.782999999999998
verified: no, type: recall_at_1
value: 5.274
verified: no, type: recall_at_10
value: 15.351
verified: no, type: recall_at_100
value: 29.791
verified: no, type: recall_at_1000
value: 60.722
verified: no, type: recall_at_3
value: 9.411
verified: no, type: recall_at_5
value: 12.171999999999999
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.099
verified: no, type: map_at_10
value: 27.913
verified: no, type: map_at_100
value: 29.281000000000002
verified: no, type: map_at_1000
value: 29.343999999999998
verified: no, type: map_at_3
value: 23.791
verified: no, type: map_at_5
value: 26.049
verified: no, type: mrr_at_1
value: 18.337
verified: no, type: mrr_at_10
value: 29.953999999999997
verified: no, type: mrr_at_100
value: 31.080999999999996
verified: no, type: mrr_at_1000
value: 31.130000000000003
verified: no, type: mrr_at_3
value: 26.168000000000003
verified: no, type: mrr_at_5
value: 28.277
verified: no, type: ndcg_at_1
value: 18.308
verified: no, type: ndcg_at_10
value: 34.938
verified: no, type: ndcg_at_100
value: 41.125
verified: no, type: ndcg_at_1000
value: 42.708
verified: no, type: ndcg_at_3
value: 26.805
verified: no, type: ndcg_at_5
value: 30.686999999999998
verified: no, type: precision_at_1
value: 18.308
verified: no, type: precision_at_10
value: 6.476999999999999
verified: no, type: precision_at_100
value: 0.9939999999999999
verified: no, type: precision_at_1000
value: 0.11399999999999999
verified: no, type: precision_at_3
value: 12.784999999999998
verified: no, type: precision_at_5
value: 9.878
verified: no, type: recall_at_1
value: 16.099
verified: no, type: recall_at_10
value: 54.63
verified: no, type: recall_at_100
value: 82.24900000000001
verified: no, type: recall_at_1000
value: 94.242
verified: no, type: recall_at_3
value: 33.174
verified: no, type: recall_at_5
value: 42.164
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 67.947
verified: no, type: map_at_10
value: 81.499
verified: no, type: map_at_100
value: 82.17
verified: no, type: map_at_1000
value: 82.194
verified: no, type: map_at_3
value: 78.567
verified: no, type: map_at_5
value: 80.34400000000001
verified: no, type: mrr_at_1
value: 78.18
verified: no, type: mrr_at_10
value: 85.05
verified: no, type: mrr_at_100
value: 85.179
verified: no, type: mrr_at_1000
value: 85.181
verified: no, type: mrr_at_3
value: 83.91
verified: no, type: mrr_at_5
value: 84.638
verified: no, type: ndcg_at_1
value: 78.2
verified: no, type: ndcg_at_10
value: 85.715
verified: no, type: ndcg_at_100
value: 87.2
verified: no, type: ndcg_at_1000
value: 87.39
verified: no, type: ndcg_at_3
value: 82.572
verified: no, type: ndcg_at_5
value: 84.176
verified: no, type: precision_at_1
value: 78.2
verified: no, type: precision_at_10
value: 12.973
verified: no, type: precision_at_100
value: 1.5010000000000001
verified: no, type: precision_at_1000
value: 0.156
verified: no, type: precision_at_3
value: 35.949999999999996
verified: no, type: precision_at_5
value: 23.62
verified: no, type: recall_at_1
value: 67.947
verified: no, type: recall_at_10
value: 93.804
verified: no, type: recall_at_100
value: 98.971
verified: no, type: recall_at_1000
value: 99.91600000000001
verified: no, type: recall_at_3
value: 84.75399999999999
verified: no, type: recall_at_5
value: 89.32
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 45.457201684255104
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics: type: v_measure
value: 55.162226937477875
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.173
verified: no, type: map_at_10
value: 10.463000000000001
verified: no, type: map_at_100
value: 12.278
verified: no, type: map_at_1000
value: 12.572
verified: no, type: map_at_3
value: 7.528
verified: no, type: map_at_5
value: 8.863
verified: no, type: mrr_at_1
value: 20.599999999999998
verified: no, type: mrr_at_10
value: 30.422
verified: no, type: mrr_at_100
value: 31.6
verified: no, type: mrr_at_1000
value: 31.663000000000004
verified: no, type: mrr_at_3
value: 27.400000000000002
verified: no, type: mrr_at_5
value: 29.065
verified: no, type: ndcg_at_1
value: 20.599999999999998
verified: no, type: ndcg_at_10
value: 17.687
verified: no, type: ndcg_at_100
value: 25.172
verified: no, type: ndcg_at_1000
value: 30.617
verified: no, type: ndcg_at_3
value: 16.81
verified: no, type: ndcg_at_5
value: 14.499
verified: no, type: precision_at_1
value: 20.599999999999998
verified: no, type: precision_at_10
value: 9.17
verified: no, type: precision_at_100
value: 2.004
verified: no, type: precision_at_1000
value: 0.332
verified: no, type: precision_at_3
value: 15.6
verified: no, type: precision_at_5
value: 12.58
verified: no, type: recall_at_1
value: 4.173
verified: no, type: recall_at_10
value: 18.575
verified: no, type: recall_at_100
value: 40.692
verified: no, type: recall_at_1000
value: 67.467
verified: no, type: recall_at_3
value: 9.488000000000001
verified: no, type: recall_at_5
value: 12.738
verified: no, task: type: STS
dataset: type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics: type: cos_sim_pearson
value: 81.12603499315416
verified: no, type: cos_sim_spearman
value: 73.62060290948378
verified: no, type: euclidean_pearson
value: 78.14083565781135
verified: no, type: euclidean_spearman
value: 73.16840437541543
verified: no, type: manhattan_pearson
value: 77.92017261109734
verified: no, type: manhattan_spearman
value: 72.8805059949965
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_pearson
value: 79.75955377133172
verified: no, type: cos_sim_spearman
value: 71.8872633964069
verified: no, type: euclidean_pearson
value: 76.31922068538256
verified: no, type: euclidean_spearman
value: 70.86449661855376
verified: no, type: manhattan_pearson
value: 76.47852229730407
verified: no, type: manhattan_spearman
value: 70.99367421984789
verified: no, task: type: STS
dataset: type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_pearson
value: 78.80762722908158
verified: no, type: cos_sim_spearman
value: 79.84588978756372
verified: no, type: euclidean_pearson
value: 79.8216849781164
verified: no, type: euclidean_spearman
value: 80.22647061695481
verified: no, type: manhattan_pearson
value: 79.56604194112572
verified: no, type: manhattan_spearman
value: 79.96495189862462
verified: no, task: type: STS
dataset: type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_pearson
value: 80.1012718092742
verified: no, type: cos_sim_spearman
value: 76.86011381793661
verified: no, type: euclidean_pearson
value: 79.94426039862019
verified: no, type: euclidean_spearman
value: 77.36751135465131
verified: no, type: manhattan_pearson
value: 79.87959373304288
verified: no, type: manhattan_spearman
value: 77.37717129004746
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 83.90618420346104
verified: no, type: cos_sim_spearman
value: 84.77290791243722
verified: no, type: euclidean_pearson
value: 84.64732258073293
verified: no, type: euclidean_spearman
value: 85.21053649543357
verified: no, type: manhattan_pearson
value: 84.61616883522647
verified: no, type: manhattan_spearman
value: 85.19803126766931
verified: no, task: type: STS
dataset: type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_pearson
value: 80.52192114059063
verified: no, type: cos_sim_spearman
value: 81.9103244827937
verified: no, type: euclidean_pearson
value: 80.99375176138985
verified: no, type: euclidean_spearman
value: 81.540250641079
verified: no, type: manhattan_pearson
value: 80.84979573396426
verified: no, type: manhattan_spearman
value: 81.3742591621492
verified: no, 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: 85.82166001234197
verified: no, type: cos_sim_spearman
value: 86.81857495659123
verified: no, type: euclidean_pearson
value: 85.72798403202849
verified: no, type: euclidean_spearman
value: 85.70482438950965
verified: no, type: manhattan_pearson
value: 85.51579093130357
verified: no, type: manhattan_spearman
value: 85.41233705379751
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 64.48071151079803
verified: no, type: cos_sim_spearman
value: 65.37838108084044
verified: no, type: euclidean_pearson
value: 64.67378947096257
verified: no, type: euclidean_spearman
value: 65.39187147219869
verified: no, type: manhattan_pearson
value: 65.35487466133208
verified: no, type: manhattan_spearman
value: 65.51328499442272
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 82.64702367823314
verified: no, type: cos_sim_spearman
value: 82.49732953181818
verified: no, type: euclidean_pearson
value: 83.05996062475664
verified: no, type: euclidean_spearman
value: 82.28159546751176
verified: no, type: manhattan_pearson
value: 82.98305503664952
verified: no, type: manhattan_spearman
value: 82.18405771943928
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 78.5744649318696
verified: no, type: mrr
value: 93.35386291268645
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 52.093999999999994
verified: no, type: map_at_10
value: 61.646
verified: no, type: map_at_100
value: 62.197
verified: no, type: map_at_1000
value: 62.22800000000001
verified: no, type: map_at_3
value: 58.411
verified: no, type: map_at_5
value: 60.585
verified: no, type: mrr_at_1
value: 55.00000000000001
verified: no, type: mrr_at_10
value: 62.690999999999995
verified: no, type: mrr_at_100
value: 63.139
verified: no, type: mrr_at_1000
value: 63.166999999999994
verified: no, type: mrr_at_3
value: 60.111000000000004
verified: no, type: mrr_at_5
value: 61.778
verified: no, type: ndcg_at_1
value: 55.00000000000001
verified: no, type: ndcg_at_10
value: 66.271
verified: no, type: ndcg_at_100
value: 68.879
verified: no, type: ndcg_at_1000
value: 69.722
verified: no, type: ndcg_at_3
value: 60.672000000000004
verified: no, type: ndcg_at_5
value: 63.929
verified: no, type: precision_at_1
value: 55.00000000000001
verified: no, type: precision_at_10
value: 9
verified: no, type: precision_at_100
value: 1.043
verified: no, type: precision_at_1000
value: 0.11100000000000002
verified: no, type: precision_at_3
value: 23.555999999999997
verified: no, type: precision_at_5
value: 16.2
verified: no, type: recall_at_1
value: 52.093999999999994
verified: no, type: recall_at_10
value: 79.567
verified: no, type: recall_at_100
value: 91.60000000000001
verified: no, type: recall_at_1000
value: 98.333
verified: no, type: recall_at_3
value: 64.633
verified: no, type: recall_at_5
value: 72.68299999999999
verified: no, task: type: PairClassification
dataset: type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics: type: cos_sim_accuracy
value: 99.83267326732673
verified: no, type: cos_sim_ap
value: 95.77995366495178
verified: no, type: cos_sim_f1
value: 91.51180311401306
verified: no, type: cos_sim_precision
value: 91.92734611503532
verified: no, type: cos_sim_recall
value: 91.10000000000001
verified: no, type: dot_accuracy
value: 99.63366336633663
verified: no, type: dot_ap
value: 88.53996286967461
verified: no, type: dot_f1
value: 81.06537530266343
verified: no, type: dot_precision
value: 78.59154929577464
verified: no, type: dot_recall
value: 83.7
verified: no, type: euclidean_accuracy
value: 99.82376237623762
verified: no, type: euclidean_ap
value: 95.53192209281187
verified: no, type: euclidean_f1
value: 91.19683481701286
verified: no, type: euclidean_precision
value: 90.21526418786692
verified: no, type: euclidean_recall
value: 92.2
verified: no, type: manhattan_accuracy
value: 99.82376237623762
verified: no, type: manhattan_ap
value: 95.55642082191741
verified: no, type: manhattan_f1
value: 91.16186693147964
verified: no, type: manhattan_precision
value: 90.53254437869822
verified: no, type: manhattan_recall
value: 91.8
verified: no, type: max_accuracy
value: 99.83267326732673
verified: no, type: max_ap
value: 95.77995366495178
verified: no, type: max_f1
value: 91.51180311401306
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 54.508462134213474
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 34.06549765184959
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 49.43129549466616
verified: no, type: mrr
value: 50.20613169510227
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 30.069516173193044
verified: no, type: cos_sim_spearman
value: 29.872498354017353
verified: no, type: dot_pearson
value: 28.80761257516063
verified: no, type: dot_spearman
value: 28.397422678527708
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.169
verified: no, type: map_at_10
value: 1.208
verified: no, type: map_at_100
value: 5.925
verified: no, type: map_at_1000
value: 14.427000000000001
verified: no, type: map_at_3
value: 0.457
verified: no, type: map_at_5
value: 0.716
verified: no, type: mrr_at_1
value: 64
verified: no, type: mrr_at_10
value: 74.075
verified: no, type: mrr_at_100
value: 74.303
verified: no, type: mrr_at_1000
value: 74.303
verified: no, type: mrr_at_3
value: 71
verified: no, type: mrr_at_5
value: 72.89999999999999
verified: no, type: ndcg_at_1
value: 57.99999999999999
verified: no, type: ndcg_at_10
value: 50.376
verified: no, type: ndcg_at_100
value: 38.582
verified: no, type: ndcg_at_1000
value: 35.663
verified: no, type: ndcg_at_3
value: 55.592
verified: no, type: ndcg_at_5
value: 53.647999999999996
verified: no, type: precision_at_1
value: 64
verified: no, type: precision_at_10
value: 53.2
verified: no, type: precision_at_100
value: 39.6
verified: no, type: precision_at_1000
value: 16.218
verified: no, type: precision_at_3
value: 59.333000000000006
verified: no, type: precision_at_5
value: 57.599999999999994
verified: no, type: recall_at_1
value: 0.169
verified: no, type: recall_at_10
value: 1.423
verified: no, type: recall_at_100
value: 9.049999999999999
verified: no, type: recall_at_1000
value: 34.056999999999995
verified: no, type: recall_at_3
value: 0.48700000000000004
verified: no, type: recall_at_5
value: 0.792
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 1.319
verified: no, type: map_at_10
value: 7.112
verified: no, type: map_at_100
value: 12.588
verified: no, type: map_at_1000
value: 14.056
verified: no, type: map_at_3
value: 2.8049999999999997
verified: no, type: map_at_5
value: 4.68
verified: no, type: mrr_at_1
value: 18.367
verified: no, type: mrr_at_10
value: 33.94
verified: no, type: mrr_at_100
value: 35.193000000000005
verified: no, type: mrr_at_1000
value: 35.193000000000005
verified: no, type: mrr_at_3
value: 29.932
verified: no, type: mrr_at_5
value: 32.279
verified: no, type: ndcg_at_1
value: 15.306000000000001
verified: no, type: ndcg_at_10
value: 18.096
verified: no, type: ndcg_at_100
value: 30.512
verified: no, type: ndcg_at_1000
value: 42.148
verified: no, type: ndcg_at_3
value: 17.034
verified: no, type: ndcg_at_5
value: 18.509
verified: no, type: precision_at_1
value: 18.367
verified: no, type: precision_at_10
value: 18.776
verified: no, type: precision_at_100
value: 7.02
verified: no, type: precision_at_1000
value: 1.467
verified: no, type: precision_at_3
value: 19.048000000000002
verified: no, type: precision_at_5
value: 22.041
verified: no, type: recall_at_1
value: 1.319
verified: no, type: recall_at_10
value: 13.748
verified: no, type: recall_at_100
value: 43.972
verified: no, type: recall_at_1000
value: 79.557
verified: no, type: recall_at_3
value: 4.042
verified: no, type: recall_at_5
value: 7.742
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 70.2282
verified: no, type: ap
value: 13.995763859570426
verified: no, type: f1
value: 54.08126256731344
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 57.64006791171477
verified: no, type: f1
value: 57.95841320748957
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 40.19267841788564
verified: no, task: type: PairClassification
dataset: type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics: type: cos_sim_accuracy
value: 83.96614412588663
verified: no, type: cos_sim_ap
value: 67.75985678572738
verified: no, type: cos_sim_f1
value: 64.04661542276222
verified: no, type: cos_sim_precision
value: 60.406922357343305
verified: no, type: cos_sim_recall
value: 68.15303430079156
verified: no, type: dot_accuracy
value: 79.5732252488526
verified: no, type: dot_ap
value: 51.30562107572645
verified: no, type: dot_f1
value: 53.120759837177744
verified: no, type: dot_precision
value: 46.478037198258804
verified: no, type: dot_recall
value: 61.97889182058047
verified: no, type: euclidean_accuracy
value: 84.00786791440663
verified: no, type: euclidean_ap
value: 67.58930214486998
verified: no, type: euclidean_f1
value: 64.424821579775
verified: no, type: euclidean_precision
value: 59.4817958454322
verified: no, type: euclidean_recall
value: 70.26385224274406
verified: no, type: manhattan_accuracy
value: 83.87673600762949
verified: no, type: manhattan_ap
value: 67.4250981523309
verified: no, type: manhattan_f1
value: 64.10286658015808
verified: no, type: manhattan_precision
value: 57.96885001066781
verified: no, type: manhattan_recall
value: 71.68865435356201
verified: no, type: max_accuracy
value: 84.00786791440663
verified: no, type: max_ap
value: 67.75985678572738
verified: no, type: max_f1
value: 64.424821579775
verified: no, task: type: PairClassification
dataset: type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 88.41347459929368
verified: no, type: cos_sim_ap
value: 84.89261930113058
verified: no, type: cos_sim_f1
value: 77.13677607258877
verified: no, type: cos_sim_precision
value: 74.88581164358733
verified: no, type: cos_sim_recall
value: 79.52725592854944
verified: no, type: dot_accuracy
value: 86.32359219156285
verified: no, type: dot_ap
value: 79.29794992131094
verified: no, type: dot_f1
value: 72.84356337679777
verified: no, type: dot_precision
value: 67.31761478675462
verified: no, type: dot_recall
value: 79.35786880197105
verified: no, type: euclidean_accuracy
value: 88.33585593976791
verified: no, type: euclidean_ap
value: 84.73257641312746
verified: no, type: euclidean_f1
value: 76.83529582788195
verified: no, type: euclidean_precision
value: 72.76294052863436
verified: no, type: euclidean_recall
value: 81.3905143209116
verified: no, type: manhattan_accuracy
value: 88.3086894089339
verified: no, type: manhattan_ap
value: 84.66304891729399
verified: no, type: manhattan_f1
value: 76.8181650632165
verified: no, type: manhattan_precision
value: 73.6864436744219
verified: no, type: manhattan_recall
value: 80.22790267939637
verified: no, type: max_accuracy
value: 88.41347459929368
verified: no, type: max_ap
value: 84.89261930113058
verified: no, type: max_f1
value: 77.13677607258877
verified: no
license: mit
Likes: 54 | All-time downloads: 2581727
Created: 2023-10-11 05:55:09