metadata
tags:
- mteb
model-index:
- name: nomic_classification_307_w30k_b10k
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 71.955223880597
- type: ap
value: 34.13197114646943
- type: f1
value: 65.68946854348061
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 64.32617499999999
- type: ap
value: 59.490845212236245
- type: f1
value: 64.1040492114687
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 33.838
- type: f1
value: 33.407172447103896
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 20.128
- type: map_at_10
value: 34.056
- type: map_at_100
value: 35.238
- type: map_at_1000
value: 35.266999999999996
- type: map_at_3
value: 29.457
- type: map_at_5
value: 32.11
- type: mrr_at_1
value: 20.483999999999998
- type: mrr_at_10
value: 34.186
- type: mrr_at_100
value: 35.388
- type: mrr_at_1000
value: 35.416
- type: mrr_at_3
value: 29.576
- type: mrr_at_5
value: 32.236
- type: ndcg_at_1
value: 20.128
- type: ndcg_at_10
value: 42.05
- type: ndcg_at_100
value: 47.661
- type: ndcg_at_1000
value: 48.339999999999996
- type: ndcg_at_3
value: 32.555
- type: ndcg_at_5
value: 37.348
- type: precision_at_1
value: 20.128
- type: precision_at_10
value: 6.771000000000001
- type: precision_at_100
value: 0.936
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 13.844999999999999
- type: precision_at_5
value: 10.639999999999999
- type: recall_at_1
value: 20.128
- type: recall_at_10
value: 67.71000000000001
- type: recall_at_100
value: 93.599
- type: recall_at_1000
value: 98.791
- type: recall_at_3
value: 41.536
- type: recall_at_5
value: 53.201
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 30.332603841310025
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 20.867624126885154
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 52.71119008857963
- type: mrr
value: 66.35789033988479
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 78.18517708213652
- type: cos_sim_spearman
value: 77.68068566977038
- type: euclidean_pearson
value: 77.54287673443481
- type: euclidean_spearman
value: 77.68068566977038
- type: manhattan_pearson
value: 77.11580342725216
- type: manhattan_spearman
value: 76.84632930899711
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 71.8603896103896
- type: f1
value: 71.02556795780878
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 28.30104672592466
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 18.177382002944345
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 20.352999999999998
- type: map_at_10
value: 27.258
- type: map_at_100
value: 28.396
- type: map_at_1000
value: 28.554000000000002
- type: map_at_3
value: 25.013999999999996
- type: map_at_5
value: 26.384999999999998
- type: mrr_at_1
value: 25.894000000000002
- type: mrr_at_10
value: 32.863
- type: mrr_at_100
value: 33.809
- type: mrr_at_1000
value: 33.886
- type: mrr_at_3
value: 31.020999999999997
- type: mrr_at_5
value: 32.129000000000005
- type: ndcg_at_1
value: 25.894000000000002
- type: ndcg_at_10
value: 31.830000000000002
- type: ndcg_at_100
value: 36.895
- type: ndcg_at_1000
value: 40.233000000000004
- type: ndcg_at_3
value: 28.764
- type: ndcg_at_5
value: 30.267
- type: precision_at_1
value: 25.894000000000002
- type: precision_at_10
value: 6.094
- type: precision_at_100
value: 1.072
- type: precision_at_1000
value: 0.167
- type: precision_at_3
value: 13.828999999999999
- type: precision_at_5
value: 10.157
- type: recall_at_1
value: 20.352999999999998
- type: recall_at_10
value: 39.318999999999996
- type: recall_at_100
value: 61.989000000000004
- type: recall_at_1000
value: 84.74199999999999
- type: recall_at_3
value: 29.673
- type: recall_at_5
value: 34.136
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 16.134
- type: map_at_10
value: 21.423000000000002
- type: map_at_100
value: 22.326999999999998
- type: map_at_1000
value: 22.451999999999998
- type: map_at_3
value: 19.602
- type: map_at_5
value: 20.77
- type: mrr_at_1
value: 20.446
- type: mrr_at_10
value: 25.496999999999996
- type: mrr_at_100
value: 26.264
- type: mrr_at_1000
value: 26.339000000000002
- type: mrr_at_3
value: 23.662
- type: mrr_at_5
value: 24.752
- type: ndcg_at_1
value: 20.446
- type: ndcg_at_10
value: 24.933
- type: ndcg_at_100
value: 29.268
- type: ndcg_at_1000
value: 32.24
- type: ndcg_at_3
value: 21.919
- type: ndcg_at_5
value: 23.54
- type: precision_at_1
value: 20.446
- type: precision_at_10
value: 4.5920000000000005
- type: precision_at_100
value: 0.853
- type: precision_at_1000
value: 0.136
- type: precision_at_3
value: 10.424999999999999
- type: precision_at_5
value: 7.605
- type: recall_at_1
value: 16.134
- type: recall_at_10
value: 31.369000000000003
- type: recall_at_100
value: 50.592999999999996
- type: recall_at_1000
value: 71.06
- type: recall_at_3
value: 22.888
- type: recall_at_5
value: 27.189000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 24.673000000000002
- type: map_at_10
value: 32.711
- type: map_at_100
value: 33.711
- type: map_at_1000
value: 33.802
- type: map_at_3
value: 30.301000000000002
- type: map_at_5
value: 31.499
- type: mrr_at_1
value: 28.589
- type: mrr_at_10
value: 35.812
- type: mrr_at_100
value: 36.63
- type: mrr_at_1000
value: 36.687999999999995
- type: mrr_at_3
value: 33.532000000000004
- type: mrr_at_5
value: 34.682
- type: ndcg_at_1
value: 28.589
- type: ndcg_at_10
value: 37.4
- type: ndcg_at_100
value: 42.363
- type: ndcg_at_1000
value: 44.525999999999996
- type: ndcg_at_3
value: 32.768
- type: ndcg_at_5
value: 34.683
- type: precision_at_1
value: 28.589
- type: precision_at_10
value: 6.144
- type: precision_at_100
value: 0.9530000000000001
- type: precision_at_1000
value: 0.121
- type: precision_at_3
value: 14.524999999999999
- type: precision_at_5
value: 10.006
- type: recall_at_1
value: 24.673000000000002
- type: recall_at_10
value: 48.711
- type: recall_at_100
value: 71.481
- type: recall_at_1000
value: 87.307
- type: recall_at_3
value: 36.04
- type: recall_at_5
value: 40.851
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 10.245
- type: map_at_10
value: 14.524000000000001
- type: map_at_100
value: 15.315000000000001
- type: map_at_1000
value: 15.418999999999999
- type: map_at_3
value: 13.255
- type: map_at_5
value: 13.898
- type: mrr_at_1
value: 11.411999999999999
- type: mrr_at_10
value: 15.681999999999999
- type: mrr_at_100
value: 16.497999999999998
- type: mrr_at_1000
value: 16.597
- type: mrr_at_3
value: 14.388000000000002
- type: mrr_at_5
value: 15.026
- type: ndcg_at_1
value: 11.411999999999999
- type: ndcg_at_10
value: 17.11
- type: ndcg_at_100
value: 21.426000000000002
- type: ndcg_at_1000
value: 24.747
- type: ndcg_at_3
value: 14.527999999999999
- type: ndcg_at_5
value: 15.626999999999999
- type: precision_at_1
value: 11.411999999999999
- type: precision_at_10
value: 2.723
- type: precision_at_100
value: 0.518
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 6.328
- type: precision_at_5
value: 4.3839999999999995
- type: recall_at_1
value: 10.245
- type: recall_at_10
value: 24.065
- type: recall_at_100
value: 44.627
- type: recall_at_1000
value: 70.844
- type: recall_at_3
value: 17.006
- type: recall_at_5
value: 19.661
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.197
- type: map_at_10
value: 9.278
- type: map_at_100
value: 9.916
- type: map_at_1000
value: 10.038
- type: map_at_3
value: 8.218
- type: map_at_5
value: 8.752
- type: mrr_at_1
value: 8.085
- type: mrr_at_10
value: 11.359
- type: mrr_at_100
value: 12.071
- type: mrr_at_1000
value: 12.174999999999999
- type: mrr_at_3
value: 10.158000000000001
- type: mrr_at_5
value: 10.73
- type: ndcg_at_1
value: 8.085
- type: ndcg_at_10
value: 11.545
- type: ndcg_at_100
value: 15.126999999999999
- type: ndcg_at_1000
value: 18.792
- type: ndcg_at_3
value: 9.462
- type: ndcg_at_5
value: 10.289
- type: precision_at_1
value: 8.085
- type: precision_at_10
value: 2.226
- type: precision_at_100
value: 0.47400000000000003
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 4.643
- type: precision_at_5
value: 3.3329999999999997
- type: recall_at_1
value: 6.197
- type: recall_at_10
value: 16.597
- type: recall_at_100
value: 32.922000000000004
- type: recall_at_1000
value: 60.171
- type: recall_at_3
value: 10.644
- type: recall_at_5
value: 12.867
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 16.543
- type: map_at_10
value: 22.024
- type: map_at_100
value: 23.169999999999998
- type: map_at_1000
value: 23.304
- type: map_at_3
value: 20.215
- type: map_at_5
value: 21.208
- type: mrr_at_1
value: 20.885
- type: mrr_at_10
value: 26.616
- type: mrr_at_100
value: 27.508
- type: mrr_at_1000
value: 27.589000000000002
- type: mrr_at_3
value: 24.607
- type: mrr_at_5
value: 25.81
- type: ndcg_at_1
value: 20.885
- type: ndcg_at_10
value: 25.921
- type: ndcg_at_100
value: 31.351000000000003
- type: ndcg_at_1000
value: 34.434
- type: ndcg_at_3
value: 22.686
- type: ndcg_at_5
value: 24.21
- type: precision_at_1
value: 20.885
- type: precision_at_10
value: 4.735
- type: precision_at_100
value: 0.906
- type: precision_at_1000
value: 0.136
- type: precision_at_3
value: 10.555
- type: precision_at_5
value: 7.642
- type: recall_at_1
value: 16.543
- type: recall_at_10
value: 33.377
- type: recall_at_100
value: 57.043
- type: recall_at_1000
value: 78.497
- type: recall_at_3
value: 24.076
- type: recall_at_5
value: 28.101
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 10.985
- type: map_at_10
value: 16.586000000000002
- type: map_at_100
value: 17.616
- type: map_at_1000
value: 17.748
- type: map_at_3
value: 14.933
- type: map_at_5
value: 15.826
- type: mrr_at_1
value: 13.699
- type: mrr_at_10
value: 19.683999999999997
- type: mrr_at_100
value: 20.636
- type: mrr_at_1000
value: 20.719
- type: mrr_at_3
value: 17.941
- type: mrr_at_5
value: 18.866
- type: ndcg_at_1
value: 13.699
- type: ndcg_at_10
value: 20.057
- type: ndcg_at_100
value: 25.215
- type: ndcg_at_1000
value: 28.584
- type: ndcg_at_3
value: 16.989
- type: ndcg_at_5
value: 18.321
- type: precision_at_1
value: 13.699
- type: precision_at_10
value: 3.8580000000000005
- type: precision_at_100
value: 0.76
- type: precision_at_1000
value: 0.122
- type: precision_at_3
value: 8.219
- type: precision_at_5
value: 6.027
- type: recall_at_1
value: 10.985
- type: recall_at_10
value: 27.351
- type: recall_at_100
value: 50.221000000000004
- type: recall_at_1000
value: 74.368
- type: recall_at_3
value: 19.177
- type: recall_at_5
value: 22.42
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 13.05425
- type: map_at_10
value: 18.011166666666668
- type: map_at_100
value: 18.863249999999997
- type: map_at_1000
value: 18.986499999999996
- type: map_at_3
value: 16.473000000000003
- type: map_at_5
value: 17.302666666666667
- type: mrr_at_1
value: 15.915333333333335
- type: mrr_at_10
value: 20.951083333333333
- type: mrr_at_100
value: 21.731333333333332
- type: mrr_at_1000
value: 21.818749999999998
- type: mrr_at_3
value: 19.372833333333332
- type: mrr_at_5
value: 20.232750000000003
- type: ndcg_at_1
value: 15.915333333333335
- type: ndcg_at_10
value: 21.271500000000003
- type: ndcg_at_100
value: 25.59883333333333
- type: ndcg_at_1000
value: 28.81025
- type: ndcg_at_3
value: 18.473500000000005
- type: ndcg_at_5
value: 19.711666666666666
- type: precision_at_1
value: 15.915333333333335
- type: precision_at_10
value: 3.8305
- type: precision_at_100
value: 0.7128333333333334
- type: precision_at_1000
value: 0.11674999999999999
- type: precision_at_3
value: 8.618166666666667
- type: precision_at_5
value: 6.160166666666667
- type: recall_at_1
value: 13.05425
- type: recall_at_10
value: 28.18425
- type: recall_at_100
value: 48.085249999999995
- type: recall_at_1000
value: 71.58041666666665
- type: recall_at_3
value: 20.2705
- type: recall_at_5
value: 23.499916666666664
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 9.724
- type: map_at_10
value: 13.367
- type: map_at_100
value: 13.987
- type: map_at_1000
value: 14.075
- type: map_at_3
value: 12.4
- type: map_at_5
value: 12.838
- type: mrr_at_1
value: 11.35
- type: mrr_at_10
value: 15.268
- type: mrr_at_100
value: 15.885
- type: mrr_at_1000
value: 15.969
- type: mrr_at_3
value: 14.238000000000001
- type: mrr_at_5
value: 14.691
- type: ndcg_at_1
value: 11.35
- type: ndcg_at_10
value: 15.779000000000002
- type: ndcg_at_100
value: 19.204
- type: ndcg_at_1000
value: 21.964
- type: ndcg_at_3
value: 13.896
- type: ndcg_at_5
value: 14.538
- type: precision_at_1
value: 11.35
- type: precision_at_10
value: 2.699
- type: precision_at_100
value: 0.486
- type: precision_at_1000
value: 0.079
- type: precision_at_3
value: 6.442
- type: precision_at_5
value: 4.387
- type: recall_at_1
value: 9.724
- type: recall_at_10
value: 21.393
- type: recall_at_100
value: 37.618
- type: recall_at_1000
value: 59.035000000000004
- type: recall_at_3
value: 15.751000000000001
- type: recall_at_5
value: 17.544999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.026000000000001
- type: map_at_10
value: 10.151
- type: map_at_100
value: 10.699
- type: map_at_1000
value: 10.816
- type: map_at_3
value: 9.118
- type: map_at_5
value: 9.684
- type: mrr_at_1
value: 8.706
- type: mrr_at_10
value: 12.289
- type: mrr_at_100
value: 12.857
- type: mrr_at_1000
value: 12.956999999999999
- type: mrr_at_3
value: 11.126
- type: mrr_at_5
value: 11.808
- type: ndcg_at_1
value: 8.706
- type: ndcg_at_10
value: 12.386
- type: ndcg_at_100
value: 15.562000000000001
- type: ndcg_at_1000
value: 19.038
- type: ndcg_at_3
value: 10.392
- type: ndcg_at_5
value: 11.33
- type: precision_at_1
value: 8.706
- type: precision_at_10
value: 2.3539999999999996
- type: precision_at_100
value: 0.47400000000000003
- type: precision_at_1000
value: 0.093
- type: precision_at_3
value: 4.967
- type: precision_at_5
value: 3.7159999999999997
- type: recall_at_1
value: 7.026000000000001
- type: recall_at_10
value: 17.05
- type: recall_at_100
value: 32.12
- type: recall_at_1000
value: 58.179
- type: recall_at_3
value: 11.62
- type: recall_at_5
value: 13.91
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 11.023
- type: map_at_10
value: 15.139
- type: map_at_100
value: 15.919
- type: map_at_1000
value: 16.038
- type: map_at_3
value: 13.794
- type: map_at_5
value: 14.555000000000001
- type: mrr_at_1
value: 13.526
- type: mrr_at_10
value: 17.906
- type: mrr_at_100
value: 18.731
- type: mrr_at_1000
value: 18.831
- type: mrr_at_3
value: 16.496
- type: mrr_at_5
value: 17.317
- type: ndcg_at_1
value: 13.526
- type: ndcg_at_10
value: 17.999000000000002
- type: ndcg_at_100
value: 22.227
- type: ndcg_at_1000
value: 25.708
- type: ndcg_at_3
value: 15.421999999999999
- type: ndcg_at_5
value: 16.646
- type: precision_at_1
value: 13.526
- type: precision_at_10
value: 3.106
- type: precision_at_100
value: 0.5720000000000001
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 7.1209999999999996
- type: precision_at_5
value: 5.075
- type: recall_at_1
value: 11.023
- type: recall_at_10
value: 24.174
- type: recall_at_100
value: 43.861
- type: recall_at_1000
value: 69.729
- type: recall_at_3
value: 17.019000000000002
- type: recall_at_5
value: 20.189
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 12.83
- type: map_at_10
value: 18.9
- type: map_at_100
value: 19.874
- type: map_at_1000
value: 20.047
- type: map_at_3
value: 17.413
- type: map_at_5
value: 18.127
- type: mrr_at_1
value: 16.008
- type: mrr_at_10
value: 22.157
- type: mrr_at_100
value: 22.952
- type: mrr_at_1000
value: 23.035
- type: mrr_at_3
value: 20.487
- type: mrr_at_5
value: 21.397
- type: ndcg_at_1
value: 16.008
- type: ndcg_at_10
value: 22.898
- type: ndcg_at_100
value: 27.345999999999997
- type: ndcg_at_1000
value: 30.818
- type: ndcg_at_3
value: 20.294
- type: ndcg_at_5
value: 21.328
- type: precision_at_1
value: 16.008
- type: precision_at_10
value: 4.625
- type: precision_at_100
value: 0.972
- type: precision_at_1000
value: 0.18
- type: precision_at_3
value: 10.079
- type: precision_at_5
value: 7.154000000000001
- type: recall_at_1
value: 12.83
- type: recall_at_10
value: 30.509999999999998
- type: recall_at_100
value: 51.671
- type: recall_at_1000
value: 75.529
- type: recall_at_3
value: 22.889
- type: recall_at_5
value: 25.740000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 10.918
- type: map_at_10
value: 14.773
- type: map_at_100
value: 15.429
- type: map_at_1000
value: 15.545
- type: map_at_3
value: 13.413
- type: map_at_5
value: 14.09
- type: mrr_at_1
value: 12.384
- type: mrr_at_10
value: 16.28
- type: mrr_at_100
value: 16.935
- type: mrr_at_1000
value: 17.04
- type: mrr_at_3
value: 14.818000000000001
- type: mrr_at_5
value: 15.584999999999999
- type: ndcg_at_1
value: 12.384
- type: ndcg_at_10
value: 17.4
- type: ndcg_at_100
value: 21.201999999999998
- type: ndcg_at_1000
value: 24.639
- type: ndcg_at_3
value: 14.562
- type: ndcg_at_5
value: 15.761
- type: precision_at_1
value: 12.384
- type: precision_at_10
value: 2.81
- type: precision_at_100
value: 0.514
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 6.285
- type: precision_at_5
value: 4.436
- type: recall_at_1
value: 10.918
- type: recall_at_10
value: 24.295
- type: recall_at_100
value: 42.876999999999995
- type: recall_at_1000
value: 69.504
- type: recall_at_3
value: 16.463
- type: recall_at_5
value: 19.39
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.498
- type: map_at_10
value: 9.462
- type: map_at_100
value: 10.659
- type: map_at_1000
value: 10.837
- type: map_at_3
value: 7.701
- type: map_at_5
value: 8.524
- type: mrr_at_1
value: 12.182
- type: mrr_at_10
value: 19.561999999999998
- type: mrr_at_100
value: 20.665
- type: mrr_at_1000
value: 20.747
- type: mrr_at_3
value: 16.84
- type: mrr_at_5
value: 18.287
- type: ndcg_at_1
value: 12.182
- type: ndcg_at_10
value: 14.382
- type: ndcg_at_100
value: 20.244
- type: ndcg_at_1000
value: 24.247
- type: ndcg_at_3
value: 10.876
- type: ndcg_at_5
value: 12.064
- type: precision_at_1
value: 12.182
- type: precision_at_10
value: 4.853
- type: precision_at_100
value: 1.115
- type: precision_at_1000
value: 0.184
- type: precision_at_3
value: 8.208
- type: precision_at_5
value: 6.632000000000001
- type: recall_at_1
value: 5.498
- type: recall_at_10
value: 18.336
- type: recall_at_100
value: 39.318999999999996
- type: recall_at_1000
value: 62.760000000000005
- type: recall_at_3
value: 10.16
- type: recall_at_5
value: 13.149
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 2.928
- type: map_at_10
value: 6.816
- type: map_at_100
value: 9.347999999999999
- type: map_at_1000
value: 10.051
- type: map_at_3
value: 4.7669999999999995
- type: map_at_5
value: 5.6419999999999995
- type: mrr_at_1
value: 33.75
- type: mrr_at_10
value: 41.662
- type: mrr_at_100
value: 42.483
- type: mrr_at_1000
value: 42.536
- type: mrr_at_3
value: 39.125
- type: mrr_at_5
value: 40.363
- type: ndcg_at_1
value: 24.5
- type: ndcg_at_10
value: 18.73
- type: ndcg_at_100
value: 20.355
- type: ndcg_at_1000
value: 26.606
- type: ndcg_at_3
value: 21.169
- type: ndcg_at_5
value: 19.776
- type: precision_at_1
value: 33.75
- type: precision_at_10
value: 16.85
- type: precision_at_100
value: 5.095000000000001
- type: precision_at_1000
value: 1.107
- type: precision_at_3
value: 24.667
- type: precision_at_5
value: 21.3
- type: recall_at_1
value: 2.928
- type: recall_at_10
value: 10.637
- type: recall_at_100
value: 24.968
- type: recall_at_1000
value: 46.566
- type: recall_at_3
value: 5.619
- type: recall_at_5
value: 7.344
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 43.254999999999995
- type: f1
value: 39.47105271415231
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 9.212
- type: map_at_10
value: 13.952
- type: map_at_100
value: 14.680000000000001
- type: map_at_1000
value: 14.766000000000002
- type: map_at_3
value: 12.292
- type: map_at_5
value: 13.192
- type: mrr_at_1
value: 9.796000000000001
- type: mrr_at_10
value: 14.825
- type: mrr_at_100
value: 15.573999999999998
- type: mrr_at_1000
value: 15.656
- type: mrr_at_3
value: 13.064
- type: mrr_at_5
value: 14.025000000000002
- type: ndcg_at_1
value: 9.796000000000001
- type: ndcg_at_10
value: 16.985
- type: ndcg_at_100
value: 21.015
- type: ndcg_at_1000
value: 23.507
- type: ndcg_at_3
value: 13.505
- type: ndcg_at_5
value: 15.132000000000001
- type: precision_at_1
value: 9.796000000000001
- type: precision_at_10
value: 2.789
- type: precision_at_100
value: 0.49899999999999994
- type: precision_at_1000
value: 0.073
- type: precision_at_3
value: 5.816000000000001
- type: precision_at_5
value: 4.340999999999999
- type: recall_at_1
value: 9.212
- type: recall_at_10
value: 25.756
- type: recall_at_100
value: 45.279
- type: recall_at_1000
value: 64.806
- type: recall_at_3
value: 16.235
- type: recall_at_5
value: 20.125999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 5.604
- type: map_at_10
value: 9.46
- type: map_at_100
value: 10.417
- type: map_at_1000
value: 10.604
- type: map_at_3
value: 7.776
- type: map_at_5
value: 8.601
- type: mrr_at_1
value: 11.265
- type: mrr_at_10
value: 16.661
- type: mrr_at_100
value: 17.575
- type: mrr_at_1000
value: 17.684
- type: mrr_at_3
value: 14.582999999999998
- type: mrr_at_5
value: 15.717999999999998
- type: ndcg_at_1
value: 11.265
- type: ndcg_at_10
value: 13.36
- type: ndcg_at_100
value: 18.199
- type: ndcg_at_1000
value: 22.682
- type: ndcg_at_3
value: 10.677
- type: ndcg_at_5
value: 11.64
- type: precision_at_1
value: 11.265
- type: precision_at_10
value: 4.043
- type: precision_at_100
value: 0.8920000000000001
- type: precision_at_1000
value: 0.165
- type: precision_at_3
value: 7.305000000000001
- type: precision_at_5
value: 5.772
- type: recall_at_1
value: 5.604
- type: recall_at_10
value: 17.756
- type: recall_at_100
value: 36.913000000000004
- type: recall_at_1000
value: 65.438
- type: recall_at_3
value: 9.626999999999999
- type: recall_at_5
value: 12.665000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 12.026
- type: map_at_10
value: 16.878999999999998
- type: map_at_100
value: 17.607999999999997
- type: map_at_1000
value: 17.716
- type: map_at_3
value: 15.514
- type: map_at_5
value: 16.236
- type: mrr_at_1
value: 24.038
- type: mrr_at_10
value: 29.831999999999997
- type: mrr_at_100
value: 30.578
- type: mrr_at_1000
value: 30.656
- type: mrr_at_3
value: 28.298000000000002
- type: mrr_at_5
value: 29.116999999999997
- type: ndcg_at_1
value: 24.051000000000002
- type: ndcg_at_10
value: 22.042
- type: ndcg_at_100
value: 25.756
- type: ndcg_at_1000
value: 28.579
- type: ndcg_at_3
value: 19.296
- type: ndcg_at_5
value: 20.549999999999997
- type: precision_at_1
value: 24.051000000000002
- type: precision_at_10
value: 4.920999999999999
- type: precision_at_100
value: 0.792
- type: precision_at_1000
value: 0.117
- type: precision_at_3
value: 12.225999999999999
- type: precision_at_5
value: 8.332
- type: recall_at_1
value: 12.026
- type: recall_at_10
value: 24.605
- type: recall_at_100
value: 39.595
- type: recall_at_1000
value: 58.494
- type: recall_at_3
value: 18.339
- type: recall_at_5
value: 20.831
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 63.706399999999995
- type: ap
value: 58.9524031201249
- type: f1
value: 63.556083975109466
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 4.845
- type: map_at_10
value: 8.402999999999999
- type: map_at_100
value: 9.106
- type: map_at_1000
value: 9.199
- type: map_at_3
value: 7.074999999999999
- type: map_at_5
value: 7.757
- type: mrr_at_1
value: 5
- type: mrr_at_10
value: 8.625
- type: mrr_at_100
value: 9.337
- type: mrr_at_1000
value: 9.428
- type: mrr_at_3
value: 7.266
- type: mrr_at_5
value: 7.965999999999999
- type: ndcg_at_1
value: 4.971
- type: ndcg_at_10
value: 10.696
- type: ndcg_at_100
value: 14.716000000000001
- type: ndcg_at_1000
value: 17.663999999999998
- type: ndcg_at_3
value: 7.881
- type: ndcg_at_5
value: 9.118
- type: precision_at_1
value: 4.971
- type: precision_at_10
value: 1.855
- type: precision_at_100
value: 0.398
- type: precision_at_1000
value: 0.066
- type: precision_at_3
value: 3.453
- type: precision_at_5
value: 2.693
- type: recall_at_1
value: 4.845
- type: recall_at_10
value: 17.88
- type: recall_at_100
value: 37.816
- type: recall_at_1000
value: 61.726000000000006
- type: recall_at_3
value: 10.045
- type: recall_at_5
value: 13.032
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 89.28408572731419
- type: f1
value: 88.36057445001192
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 59.366165070679436
- type: f1
value: 40.06121455563378
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.80228648285138
- type: f1
value: 59.56813863530079
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 68.55413584398117
- type: f1
value: 67.09171141857304
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 26.373735594129403
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 22.97944248268257
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 28.174012229019485
- type: mrr
value: 28.972842705926528
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 2.814
- type: map_at_10
value: 5.412999999999999
- type: map_at_100
value: 7.0120000000000005
- type: map_at_1000
value: 8.187
- type: map_at_3
value: 4.289
- type: map_at_5
value: 4.825
- type: mrr_at_1
value: 29.102
- type: mrr_at_10
value: 36.876999999999995
- type: mrr_at_100
value: 37.506
- type: mrr_at_1000
value: 37.592
- type: mrr_at_3
value: 34.262
- type: mrr_at_5
value: 35.888
- type: ndcg_at_1
value: 27.089999999999996
- type: ndcg_at_10
value: 19.134999999999998
- type: ndcg_at_100
value: 18.29
- type: ndcg_at_1000
value: 27.842
- type: ndcg_at_3
value: 22.417
- type: ndcg_at_5
value: 21.081
- type: precision_at_1
value: 29.102
- type: precision_at_10
value: 14.302999999999999
- type: precision_at_100
value: 5.632000000000001
- type: precision_at_1000
value: 1.856
- type: precision_at_3
value: 21.156
- type: precision_at_5
value: 18.39
- type: recall_at_1
value: 2.814
- type: recall_at_10
value: 8.431
- type: recall_at_100
value: 19.332
- type: recall_at_1000
value: 53.879999999999995
- type: recall_at_3
value: 5.212
- type: recall_at_5
value: 6.364
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 7.423
- type: map_at_10
value: 12.638
- type: map_at_100
value: 13.672
- type: map_at_1000
value: 13.776
- type: map_at_3
value: 10.727
- type: map_at_5
value: 11.745
- type: mrr_at_1
value: 8.459
- type: mrr_at_10
value: 14.068
- type: mrr_at_100
value: 15.067
- type: mrr_at_1000
value: 15.155
- type: mrr_at_3
value: 12.065
- type: mrr_at_5
value: 13.142999999999999
- type: ndcg_at_1
value: 8.459
- type: ndcg_at_10
value: 16.152
- type: ndcg_at_100
value: 21.636
- type: ndcg_at_1000
value: 24.593
- type: ndcg_at_3
value: 12.16
- type: ndcg_at_5
value: 14.011000000000001
- type: precision_at_1
value: 8.459
- type: precision_at_10
value: 3.004
- type: precision_at_100
value: 0.615
- type: precision_at_1000
value: 0.09
- type: precision_at_3
value: 5.755
- type: precision_at_5
value: 4.460999999999999
- type: recall_at_1
value: 7.423
- type: recall_at_10
value: 25.698
- type: recall_at_100
value: 51.556999999999995
- type: recall_at_1000
value: 74.435
- type: recall_at_3
value: 15.015
- type: recall_at_5
value: 19.397000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 60.516999999999996
- type: map_at_10
value: 72.943
- type: map_at_100
value: 73.741
- type: map_at_1000
value: 73.78
- type: map_at_3
value: 70.025
- type: map_at_5
value: 71.786
- type: mrr_at_1
value: 69.82000000000001
- type: mrr_at_10
value: 77.402
- type: mrr_at_100
value: 77.694
- type: mrr_at_1000
value: 77.702
- type: mrr_at_3
value: 75.852
- type: mrr_at_5
value: 76.839
- type: ndcg_at_1
value: 69.78
- type: ndcg_at_10
value: 77.777
- type: ndcg_at_100
value: 80.148
- type: ndcg_at_1000
value: 80.64
- type: ndcg_at_3
value: 74.071
- type: ndcg_at_5
value: 75.974
- type: precision_at_1
value: 69.78
- type: precision_at_10
value: 11.776
- type: precision_at_100
value: 1.431
- type: precision_at_1000
value: 0.153
- type: precision_at_3
value: 32.11
- type: precision_at_5
value: 21.284
- type: recall_at_1
value: 60.516999999999996
- type: recall_at_10
value: 87.149
- type: recall_at_100
value: 96.33
- type: recall_at_1000
value: 99.236
- type: recall_at_3
value: 76.592
- type: recall_at_5
value: 81.828
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 24.96238867406633
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 42.15456565539958
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.545
- type: map_at_10
value: 5.84
- type: map_at_100
value: 6.984999999999999
- type: map_at_1000
value: 7.216
- type: map_at_3
value: 4.348
- type: map_at_5
value: 5.064
- type: mrr_at_1
value: 12.6
- type: mrr_at_10
value: 19.799
- type: mrr_at_100
value: 20.964
- type: mrr_at_1000
value: 21.067
- type: mrr_at_3
value: 17.349999999999998
- type: mrr_at_5
value: 18.77
- type: ndcg_at_1
value: 12.6
- type: ndcg_at_10
value: 10.683
- type: ndcg_at_100
value: 16.256
- type: ndcg_at_1000
value: 21.304000000000002
- type: ndcg_at_3
value: 10.167
- type: ndcg_at_5
value: 8.853
- type: precision_at_1
value: 12.6
- type: precision_at_10
value: 5.54
- type: precision_at_100
value: 1.3679999999999999
- type: precision_at_1000
value: 0.259
- type: precision_at_3
value: 9.467
- type: precision_at_5
value: 7.739999999999999
- type: recall_at_1
value: 2.545
- type: recall_at_10
value: 11.212
- type: recall_at_100
value: 27.785
- type: recall_at_1000
value: 52.588
- type: recall_at_3
value: 5.768
- type: recall_at_5
value: 7.843
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.14154775161344
- type: cos_sim_spearman
value: 67.34346119954171
- type: euclidean_pearson
value: 72.35899953785258
- type: euclidean_spearman
value: 67.3437533363199
- type: manhattan_pearson
value: 70.9274622484765
- type: manhattan_spearman
value: 66.00500346801255
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 73.45319575935073
- type: cos_sim_spearman
value: 66.85451568709998
- type: euclidean_pearson
value: 69.91095676583507
- type: euclidean_spearman
value: 66.8557417173495
- type: manhattan_pearson
value: 70.79095833168148
- type: manhattan_spearman
value: 68.07407266249538
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 76.69086874055675
- type: cos_sim_spearman
value: 78.04733839857
- type: euclidean_pearson
value: 77.63075897573337
- type: euclidean_spearman
value: 78.04737621071355
- type: manhattan_pearson
value: 77.94694857794688
- type: manhattan_spearman
value: 78.45352622493287
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 76.79462726940899
- type: cos_sim_spearman
value: 73.75004555900799
- type: euclidean_pearson
value: 75.98934348748296
- type: euclidean_spearman
value: 73.7500358689292
- type: manhattan_pearson
value: 76.00086800123202
- type: manhattan_spearman
value: 74.06711780537452
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 79.78001899088082
- type: cos_sim_spearman
value: 80.8098659330615
- type: euclidean_pearson
value: 80.81455975868363
- type: euclidean_spearman
value: 80.80987420717732
- type: manhattan_pearson
value: 81.43248963554757
- type: manhattan_spearman
value: 81.56756512374152
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 75.09273075600336
- type: cos_sim_spearman
value: 76.44072137673248
- type: euclidean_pearson
value: 76.07667290013225
- type: euclidean_spearman
value: 76.44127170482552
- type: manhattan_pearson
value: 76.6332220160955
- type: manhattan_spearman
value: 77.11730946641201
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 82.86191718272701
- type: cos_sim_spearman
value: 84.05759596682893
- type: euclidean_pearson
value: 84.05247433515731
- type: euclidean_spearman
value: 84.05847010074612
- type: manhattan_pearson
value: 84.20796352611727
- type: manhattan_spearman
value: 84.20823102579908
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 63.405232991348434
- type: cos_sim_spearman
value: 61.017715202418366
- type: euclidean_pearson
value: 63.436431062341434
- type: euclidean_spearman
value: 61.017715202418366
- type: manhattan_pearson
value: 63.6521277557926
- type: manhattan_spearman
value: 61.73049790460205
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 76.80795371667985
- type: cos_sim_spearman
value: 75.43643133516306
- type: euclidean_pearson
value: 76.87791904895818
- type: euclidean_spearman
value: 75.4364797257313
- type: manhattan_pearson
value: 76.89603534893224
- type: manhattan_spearman
value: 75.44538808910046
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 69.67746354273282
- type: mrr
value: 89.80577701165936
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 31.333
- type: map_at_10
value: 37.378
- type: map_at_100
value: 38.641999999999996
- type: map_at_1000
value: 38.719
- type: map_at_3
value: 35.06
- type: map_at_5
value: 36.64
- type: mrr_at_1
value: 33.667
- type: mrr_at_10
value: 39.324
- type: mrr_at_100
value: 40.449
- type: mrr_at_1000
value: 40.512
- type: mrr_at_3
value: 37.278
- type: mrr_at_5
value: 38.744
- type: ndcg_at_1
value: 33.667
- type: ndcg_at_10
value: 40.92
- type: ndcg_at_100
value: 46.938
- type: ndcg_at_1000
value: 48.811
- type: ndcg_at_3
value: 36.675999999999995
- type: ndcg_at_5
value: 39.31
- type: precision_at_1
value: 33.667
- type: precision_at_10
value: 5.633
- type: precision_at_100
value: 0.88
- type: precision_at_1000
value: 0.104
- type: precision_at_3
value: 14.222000000000001
- type: precision_at_5
value: 10
- type: recall_at_1
value: 31.333
- type: recall_at_10
value: 49.956
- type: recall_at_100
value: 77.683
- type: recall_at_1000
value: 92.133
- type: recall_at_3
value: 39
- type: recall_at_5
value: 45.317
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.63663366336634
- type: cos_sim_ap
value: 87.01958641278611
- type: cos_sim_f1
value: 80.12684989429175
- type: cos_sim_precision
value: 84.97757847533633
- type: cos_sim_recall
value: 75.8
- type: dot_accuracy
value: 99.63663366336634
- type: dot_ap
value: 87.01958641278611
- type: dot_f1
value: 80.12684989429175
- type: dot_precision
value: 84.97757847533633
- type: dot_recall
value: 75.8
- type: euclidean_accuracy
value: 99.63663366336634
- type: euclidean_ap
value: 87.01958641278611
- type: euclidean_f1
value: 80.12684989429175
- type: euclidean_precision
value: 84.97757847533633
- type: euclidean_recall
value: 75.8
- type: manhattan_accuracy
value: 99.68613861386139
- type: manhattan_ap
value: 90.11510992894823
- type: manhattan_f1
value: 83.73035985808414
- type: manhattan_precision
value: 84.89208633093526
- type: manhattan_recall
value: 82.6
- type: max_accuracy
value: 99.68613861386139
- type: max_ap
value: 90.11510992894823
- type: max_f1
value: 83.73035985808414
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 31.564966710258002
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 28.902331000032934
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 42.84399261061117
- type: mrr
value: 43.29435372633902
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.95259336062129
- type: cos_sim_spearman
value: 29.305731756791836
- type: dot_pearson
value: 29.95259337454406
- type: dot_spearman
value: 29.33902263846769
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.13
- type: map_at_10
value: 0.653
- type: map_at_100
value: 3.5479999999999996
- type: map_at_1000
value: 8.239
- type: map_at_3
value: 0.27
- type: map_at_5
value: 0.387
- type: mrr_at_1
value: 46
- type: mrr_at_10
value: 58.477999999999994
- type: mrr_at_100
value: 59.079
- type: mrr_at_1000
value: 59.099000000000004
- type: mrr_at_3
value: 56.00000000000001
- type: mrr_at_5
value: 57.3
- type: ndcg_at_1
value: 42
- type: ndcg_at_10
value: 34.636
- type: ndcg_at_100
value: 26.856
- type: ndcg_at_1000
value: 24.409
- type: ndcg_at_3
value: 39.050000000000004
- type: ndcg_at_5
value: 36.541000000000004
- type: precision_at_1
value: 50
- type: precision_at_10
value: 37.2
- type: precision_at_100
value: 28.28
- type: precision_at_1000
value: 11.996
- type: precision_at_3
value: 44
- type: precision_at_5
value: 40
- type: recall_at_1
value: 0.13
- type: recall_at_10
value: 0.822
- type: recall_at_100
value: 6.015000000000001
- type: recall_at_1000
value: 23.772
- type: recall_at_3
value: 0.307
- type: recall_at_5
value: 0.453
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.537
- type: map_at_10
value: 8.591
- type: map_at_100
value: 14.328
- type: map_at_1000
value: 15.919
- type: map_at_3
value: 4.8500000000000005
- type: map_at_5
value: 6.389
- type: mrr_at_1
value: 34.694
- type: mrr_at_10
value: 46.553
- type: mrr_at_100
value: 47.515
- type: mrr_at_1000
value: 47.515
- type: mrr_at_3
value: 42.857
- type: mrr_at_5
value: 44.796
- type: ndcg_at_1
value: 33.672999999999995
- type: ndcg_at_10
value: 21.73
- type: ndcg_at_100
value: 34.699000000000005
- type: ndcg_at_1000
value: 46.143
- type: ndcg_at_3
value: 27.343
- type: ndcg_at_5
value: 24.11
- type: precision_at_1
value: 34.694
- type: precision_at_10
value: 18.776
- type: precision_at_100
value: 7.571
- type: precision_at_1000
value: 1.478
- type: precision_at_3
value: 27.211000000000002
- type: precision_at_5
value: 23.673
- type: recall_at_1
value: 2.537
- type: recall_at_10
value: 13.012
- type: recall_at_100
value: 45.891
- type: recall_at_1000
value: 80.739
- type: recall_at_3
value: 5.744
- type: recall_at_5
value: 8.278
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 69.004
- type: ap
value: 13.022449069209996
- type: f1
value: 52.831422157603235
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 53.55687606112054
- type: f1
value: 53.742471169925146
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 30.854612368831237
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.20915539130954
- type: cos_sim_ap
value: 64.64935846149021
- type: cos_sim_f1
value: 61.74544588641505
- type: cos_sim_precision
value: 56.25949229767846
- type: cos_sim_recall
value: 68.41688654353561
- type: dot_accuracy
value: 83.20915539130954
- type: dot_ap
value: 64.64935846149021
- type: dot_f1
value: 61.74544588641505
- type: dot_precision
value: 56.25949229767846
- type: dot_recall
value: 68.41688654353561
- type: euclidean_accuracy
value: 83.20915539130954
- type: euclidean_ap
value: 64.64935846149021
- type: euclidean_f1
value: 61.74544588641505
- type: euclidean_precision
value: 56.25949229767846
- type: euclidean_recall
value: 68.41688654353561
- type: manhattan_accuracy
value: 83.00649698992669
- type: manhattan_ap
value: 63.241363240922475
- type: manhattan_f1
value: 60.10508778674869
- type: manhattan_precision
value: 58.435085970595566
- type: manhattan_recall
value: 61.87335092348285
- type: max_accuracy
value: 83.20915539130954
- type: max_ap
value: 64.64935846149021
- type: max_f1
value: 61.74544588641505
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.33457523188575
- type: cos_sim_ap
value: 82.48667288124405
- type: cos_sim_f1
value: 74.60564319040213
- type: cos_sim_precision
value: 71.86474532743615
- type: cos_sim_recall
value: 77.56390514320911
- type: dot_accuracy
value: 87.33457523188575
- type: dot_ap
value: 82.48667984460607
- type: dot_f1
value: 74.60564319040213
- type: dot_precision
value: 71.86474532743615
- type: dot_recall
value: 77.56390514320911
- type: euclidean_accuracy
value: 87.33457523188575
- type: euclidean_ap
value: 82.48667328332766
- type: euclidean_f1
value: 74.60564319040213
- type: euclidean_precision
value: 71.86474532743615
- type: euclidean_recall
value: 77.56390514320911
- type: manhattan_accuracy
value: 87.28994450265843
- type: manhattan_ap
value: 82.53662260997004
- type: manhattan_f1
value: 74.64819224940463
- type: manhattan_precision
value: 70.24310742903708
- type: manhattan_recall
value: 79.64274715121651
- type: max_accuracy
value: 87.33457523188575
- type: max_ap
value: 82.53662260997004
- type: max_f1
value: 74.64819224940463