metadata
tags:
- mteb
model-index:
- name: nomic_classification_100
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 70.35820895522387
- type: ap
value: 32.749463629599404
- type: f1
value: 64.24277142151362
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 64.705075
- type: ap
value: 59.80751870729784
- type: f1
value: 64.44356439771583
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 33.642
- type: f1
value: 33.115627459191316
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 17.852
- type: map_at_10
value: 29.279
- type: map_at_100
value: 30.55
- type: map_at_1000
value: 30.605
- type: map_at_3
value: 25.296000000000003
- type: map_at_5
value: 27.498
- type: mrr_at_1
value: 18.137
- type: mrr_at_10
value: 29.398999999999997
- type: mrr_at_100
value: 30.677
- type: mrr_at_1000
value: 30.731
- type: mrr_at_3
value: 25.427
- type: mrr_at_5
value: 27.614
- type: ndcg_at_1
value: 17.852
- type: ndcg_at_10
value: 36.071999999999996
- type: ndcg_at_100
value: 42.403
- type: ndcg_at_1000
value: 43.733
- type: ndcg_at_3
value: 27.799000000000003
- type: ndcg_at_5
value: 31.805
- type: precision_at_1
value: 17.852
- type: precision_at_10
value: 5.797
- type: precision_at_100
value: 0.878
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 11.688
- type: precision_at_5
value: 8.976
- type: recall_at_1
value: 17.852
- type: recall_at_10
value: 57.965999999999994
- type: recall_at_100
value: 87.83800000000001
- type: recall_at_1000
value: 98.08
- type: recall_at_3
value: 35.064
- type: recall_at_5
value: 44.879000000000005
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 29.25407935159316
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 19.74540490543985
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 50.92680362916445
- type: mrr
value: 63.515697137580794
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 72.8794628935656
- type: cos_sim_spearman
value: 72.28899655141599
- type: euclidean_pearson
value: 72.84840274301827
- type: euclidean_spearman
value: 72.28899655141599
- type: manhattan_pearson
value: 72.27814398382203
- type: manhattan_spearman
value: 71.66970533201172
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 66.20129870129871
- type: f1
value: 65.02435616242589
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 28.56746746078776
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 19.212994376812908
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 17.7
- type: map_at_10
value: 23.182
- type: map_at_100
value: 24.2
- type: map_at_1000
value: 24.354
- type: map_at_3
value: 21.448
- type: map_at_5
value: 22.394
- type: mrr_at_1
value: 21.459
- type: mrr_at_10
value: 27.538
- type: mrr_at_100
value: 28.399
- type: mrr_at_1000
value: 28.479
- type: mrr_at_3
value: 25.775
- type: mrr_at_5
value: 26.705000000000002
- type: ndcg_at_1
value: 21.459
- type: ndcg_at_10
value: 26.987
- type: ndcg_at_100
value: 31.935999999999996
- type: ndcg_at_1000
value: 35.335
- type: ndcg_at_3
value: 24.214
- type: ndcg_at_5
value: 25.344
- type: precision_at_1
value: 21.459
- type: precision_at_10
value: 5.007000000000001
- type: precision_at_100
value: 0.9299999999999999
- type: precision_at_1000
value: 0.149
- type: precision_at_3
value: 11.445
- type: precision_at_5
value: 8.155
- type: recall_at_1
value: 17.7
- type: recall_at_10
value: 33.698
- type: recall_at_100
value: 55.933
- type: recall_at_1000
value: 79.567
- type: recall_at_3
value: 25.331
- type: recall_at_5
value: 28.681
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 13.008000000000001
- type: map_at_10
value: 17.331
- type: map_at_100
value: 18.128
- type: map_at_1000
value: 18.253
- type: map_at_3
value: 15.708
- type: map_at_5
value: 16.601
- type: mrr_at_1
value: 16.624
- type: mrr_at_10
value: 21.038999999999998
- type: mrr_at_100
value: 21.782
- type: mrr_at_1000
value: 21.869
- type: mrr_at_3
value: 19.320999999999998
- type: mrr_at_5
value: 20.266000000000002
- type: ndcg_at_1
value: 16.624
- type: ndcg_at_10
value: 20.584
- type: ndcg_at_100
value: 24.43
- type: ndcg_at_1000
value: 27.486
- type: ndcg_at_3
value: 17.724999999999998
- type: ndcg_at_5
value: 18.990000000000002
- type: precision_at_1
value: 16.624
- type: precision_at_10
value: 3.8850000000000002
- type: precision_at_100
value: 0.7250000000000001
- type: precision_at_1000
value: 0.122
- type: precision_at_3
value: 8.514
- type: precision_at_5
value: 6.204
- type: recall_at_1
value: 13.008000000000001
- type: recall_at_10
value: 26.799
- type: recall_at_100
value: 43.802
- type: recall_at_1000
value: 65.035
- type: recall_at_3
value: 18.411
- type: recall_at_5
value: 21.887999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 18.459
- type: map_at_10
value: 24.775
- type: map_at_100
value: 25.691999999999997
- type: map_at_1000
value: 25.802999999999997
- type: map_at_3
value: 22.784
- type: map_at_5
value: 23.764
- type: mrr_at_1
value: 21.379
- type: mrr_at_10
value: 27.555000000000003
- type: mrr_at_100
value: 28.355000000000004
- type: mrr_at_1000
value: 28.438999999999997
- type: mrr_at_3
value: 25.663999999999998
- type: mrr_at_5
value: 26.598
- type: ndcg_at_1
value: 21.379
- type: ndcg_at_10
value: 28.691
- type: ndcg_at_100
value: 33.387
- type: ndcg_at_1000
value: 36.299
- type: ndcg_at_3
value: 24.883
- type: ndcg_at_5
value: 26.438
- type: precision_at_1
value: 21.379
- type: precision_at_10
value: 4.777
- type: precision_at_100
value: 0.7799999999999999
- type: precision_at_1000
value: 0.11199999999999999
- type: precision_at_3
value: 11.16
- type: precision_at_5
value: 7.7490000000000006
- type: recall_at_1
value: 18.459
- type: recall_at_10
value: 37.964999999999996
- type: recall_at_100
value: 59.728
- type: recall_at_1000
value: 81.351
- type: recall_at_3
value: 27.538
- type: recall_at_5
value: 31.464
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 8.324
- type: map_at_10
value: 10.779
- type: map_at_100
value: 11.371
- type: map_at_1000
value: 11.466999999999999
- type: map_at_3
value: 9.922
- type: map_at_5
value: 10.319
- type: mrr_at_1
value: 9.153
- type: mrr_at_10
value: 11.700000000000001
- type: mrr_at_100
value: 12.314
- type: mrr_at_1000
value: 12.406
- type: mrr_at_3
value: 10.81
- type: mrr_at_5
value: 11.234
- type: ndcg_at_1
value: 9.153
- type: ndcg_at_10
value: 12.472
- type: ndcg_at_100
value: 15.942
- type: ndcg_at_1000
value: 19.118
- type: ndcg_at_3
value: 10.644
- type: ndcg_at_5
value: 11.355
- type: precision_at_1
value: 9.153
- type: precision_at_10
value: 1.921
- type: precision_at_100
value: 0.391
- type: precision_at_1000
value: 0.07100000000000001
- type: precision_at_3
value: 4.444
- type: precision_at_5
value: 3.073
- type: recall_at_1
value: 8.324
- type: recall_at_10
value: 16.971
- type: recall_at_100
value: 34.041
- type: recall_at_1000
value: 59.45399999999999
- type: recall_at_3
value: 11.77
- type: recall_at_5
value: 13.522
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 3.998
- type: map_at_10
value: 6.22
- type: map_at_100
value: 6.687
- type: map_at_1000
value: 6.796
- type: map_at_3
value: 5.124
- type: map_at_5
value: 5.705
- type: mrr_at_1
value: 5.224
- type: mrr_at_10
value: 7.915
- type: mrr_at_100
value: 8.433
- type: mrr_at_1000
value: 8.530999999999999
- type: mrr_at_3
value: 6.654
- type: mrr_at_5
value: 7.276000000000001
- type: ndcg_at_1
value: 5.224
- type: ndcg_at_10
value: 8.238
- type: ndcg_at_100
value: 11.126999999999999
- type: ndcg_at_1000
value: 14.552999999999999
- type: ndcg_at_3
value: 6.0249999999999995
- type: ndcg_at_5
value: 6.981999999999999
- type: precision_at_1
value: 5.224
- type: precision_at_10
value: 1.7160000000000002
- type: precision_at_100
value: 0.371
- type: precision_at_1000
value: 0.078
- type: precision_at_3
value: 2.9850000000000003
- type: precision_at_5
value: 2.413
- type: recall_at_1
value: 3.998
- type: recall_at_10
value: 12.995999999999999
- type: recall_at_100
value: 26.819
- type: recall_at_1000
value: 52.608
- type: recall_at_3
value: 6.721000000000001
- type: recall_at_5
value: 9.198
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 12.331
- type: map_at_10
value: 16.913
- type: map_at_100
value: 17.841
- type: map_at_1000
value: 17.977
- type: map_at_3
value: 15.633
- type: map_at_5
value: 16.256
- type: mrr_at_1
value: 15.110999999999999
- type: mrr_at_10
value: 20.419999999999998
- type: mrr_at_100
value: 21.294
- type: mrr_at_1000
value: 21.386
- type: mrr_at_3
value: 18.961
- type: mrr_at_5
value: 19.682
- type: ndcg_at_1
value: 15.110999999999999
- type: ndcg_at_10
value: 20.115
- type: ndcg_at_100
value: 24.914
- type: ndcg_at_1000
value: 28.375
- type: ndcg_at_3
value: 17.732
- type: ndcg_at_5
value: 18.658
- type: precision_at_1
value: 15.110999999999999
- type: precision_at_10
value: 3.696
- type: precision_at_100
value: 0.762
- type: precision_at_1000
value: 0.125
- type: precision_at_3
value: 8.566
- type: precision_at_5
value: 5.9670000000000005
- type: recall_at_1
value: 12.331
- type: recall_at_10
value: 26.429000000000002
- type: recall_at_100
value: 47.341
- type: recall_at_1000
value: 72.149
- type: recall_at_3
value: 19.467000000000002
- type: recall_at_5
value: 21.981
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 8.262
- type: map_at_10
value: 11.962
- type: map_at_100
value: 12.729
- type: map_at_1000
value: 12.86
- type: map_at_3
value: 10.65
- type: map_at_5
value: 11.388
- type: mrr_at_1
value: 10.502
- type: mrr_at_10
value: 14.715
- type: mrr_at_100
value: 15.484
- type: mrr_at_1000
value: 15.581999999999999
- type: mrr_at_3
value: 13.299
- type: mrr_at_5
value: 14.097999999999999
- type: ndcg_at_1
value: 10.502
- type: ndcg_at_10
value: 14.649000000000001
- type: ndcg_at_100
value: 18.738
- type: ndcg_at_1000
value: 22.456
- type: ndcg_at_3
value: 12.222
- type: ndcg_at_5
value: 13.314
- type: precision_at_1
value: 10.502
- type: precision_at_10
value: 2.82
- type: precision_at_100
value: 0.588
- type: precision_at_1000
value: 0.108
- type: precision_at_3
value: 5.936
- type: precision_at_5
value: 4.452
- type: recall_at_1
value: 8.262
- type: recall_at_10
value: 20.168
- type: recall_at_100
value: 38.405
- type: recall_at_1000
value: 65.694
- type: recall_at_3
value: 13.428999999999998
- type: recall_at_5
value: 16.229
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 10.117416666666665
- type: map_at_10
value: 13.858333333333334
- type: map_at_100
value: 14.565166666666668
- type: map_at_1000
value: 14.68266666666667
- type: map_at_3
value: 12.60983333333333
- type: map_at_5
value: 13.277416666666667
- type: mrr_at_1
value: 12.332833333333335
- type: mrr_at_10
value: 16.376333333333335
- type: mrr_at_100
value: 17.063333333333333
- type: mrr_at_1000
value: 17.1535
- type: mrr_at_3
value: 15.040666666666667
- type: mrr_at_5
value: 15.764833333333334
- type: ndcg_at_1
value: 12.332833333333335
- type: ndcg_at_10
value: 16.51366666666667
- type: ndcg_at_100
value: 20.2845
- type: ndcg_at_1000
value: 23.54025
- type: ndcg_at_3
value: 14.171250000000002
- type: ndcg_at_5
value: 15.193583333333333
- type: precision_at_1
value: 12.332833333333335
- type: precision_at_10
value: 2.983083333333333
- type: precision_at_100
value: 0.58325
- type: precision_at_1000
value: 0.10250000000000001
- type: precision_at_3
value: 6.626083333333334
- type: precision_at_5
value: 4.774916666666665
- type: recall_at_1
value: 10.117416666666665
- type: recall_at_10
value: 22.14666666666667
- type: recall_at_100
value: 39.5745
- type: recall_at_1000
value: 63.73550000000001
- type: recall_at_3
value: 15.431666666666665
- type: recall_at_5
value: 18.1215
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 7.431
- type: map_at_10
value: 10.172
- type: map_at_100
value: 10.639999999999999
- type: map_at_1000
value: 10.716000000000001
- type: map_at_3
value: 9.242
- type: map_at_5
value: 9.614
- type: mrr_at_1
value: 9.202
- type: mrr_at_10
value: 12.08
- type: mrr_at_100
value: 12.58
- type: mrr_at_1000
value: 12.649
- type: mrr_at_3
value: 11.145
- type: mrr_at_5
value: 11.59
- type: ndcg_at_1
value: 9.202
- type: ndcg_at_10
value: 12.291
- type: ndcg_at_100
value: 14.940999999999999
- type: ndcg_at_1000
value: 17.325
- type: ndcg_at_3
value: 10.446
- type: ndcg_at_5
value: 11.027000000000001
- type: precision_at_1
value: 9.202
- type: precision_at_10
value: 2.193
- type: precision_at_100
value: 0.388
- type: precision_at_1000
value: 0.065
- type: precision_at_3
value: 4.806
- type: precision_at_5
value: 3.374
- type: recall_at_1
value: 7.431
- type: recall_at_10
value: 17.197000000000003
- type: recall_at_100
value: 29.704000000000004
- type: recall_at_1000
value: 48.278999999999996
- type: recall_at_3
value: 11.616999999999999
- type: recall_at_5
value: 13.181000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 5.348
- type: map_at_10
value: 7.591
- type: map_at_100
value: 8.109
- type: map_at_1000
value: 8.206
- type: map_at_3
value: 6.782000000000001
- type: map_at_5
value: 7.244000000000001
- type: mrr_at_1
value: 6.641
- type: mrr_at_10
value: 9.281
- type: mrr_at_100
value: 9.838
- type: mrr_at_1000
value: 9.922
- type: mrr_at_3
value: 8.286999999999999
- type: mrr_at_5
value: 8.866999999999999
- type: ndcg_at_1
value: 6.641
- type: ndcg_at_10
value: 9.302000000000001
- type: ndcg_at_100
value: 12.200999999999999
- type: ndcg_at_1000
value: 15.223999999999998
- type: ndcg_at_3
value: 7.692
- type: ndcg_at_5
value: 8.474
- type: precision_at_1
value: 6.641
- type: precision_at_10
value: 1.755
- type: precision_at_100
value: 0.388
- type: precision_at_1000
value: 0.079
- type: precision_at_3
value: 3.6249999999999996
- type: precision_at_5
value: 2.753
- type: recall_at_1
value: 5.348
- type: recall_at_10
value: 12.887
- type: recall_at_100
value: 26.391
- type: recall_at_1000
value: 49.156
- type: recall_at_3
value: 8.519
- type: recall_at_5
value: 10.431
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 7.9750000000000005
- type: map_at_10
value: 11.28
- type: map_at_100
value: 11.953
- type: map_at_1000
value: 12.051
- type: map_at_3
value: 10.022
- type: map_at_5
value: 10.807
- type: mrr_at_1
value: 9.795
- type: mrr_at_10
value: 13.544999999999998
- type: mrr_at_100
value: 14.249999999999998
- type: mrr_at_1000
value: 14.341000000000001
- type: mrr_at_3
value: 12.174
- type: mrr_at_5
value: 13.041
- type: ndcg_at_1
value: 9.795
- type: ndcg_at_10
value: 13.697000000000001
- type: ndcg_at_100
value: 17.389
- type: ndcg_at_1000
value: 20.46
- type: ndcg_at_3
value: 11.277
- type: ndcg_at_5
value: 12.579
- type: precision_at_1
value: 9.795
- type: precision_at_10
value: 2.435
- type: precision_at_100
value: 0.481
- type: precision_at_1000
value: 0.084
- type: precision_at_3
value: 5.255
- type: precision_at_5
value: 3.955
- type: recall_at_1
value: 7.9750000000000005
- type: recall_at_10
value: 18.981
- type: recall_at_100
value: 36.178
- type: recall_at_1000
value: 59.46900000000001
- type: recall_at_3
value: 12.371
- type: recall_at_5
value: 15.613
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 10.742
- type: map_at_10
value: 15.346000000000002
- type: map_at_100
value: 16.153000000000002
- type: map_at_1000
value: 16.311999999999998
- type: map_at_3
value: 14.222999999999999
- type: map_at_5
value: 14.777000000000001
- type: mrr_at_1
value: 14.032
- type: mrr_at_10
value: 18.83
- type: mrr_at_100
value: 19.564999999999998
- type: mrr_at_1000
value: 19.655
- type: mrr_at_3
value: 17.523
- type: mrr_at_5
value: 18.244
- type: ndcg_at_1
value: 14.032
- type: ndcg_at_10
value: 18.496000000000002
- type: ndcg_at_100
value: 22.377
- type: ndcg_at_1000
value: 26.284000000000002
- type: ndcg_at_3
value: 16.520000000000003
- type: ndcg_at_5
value: 17.276
- type: precision_at_1
value: 14.032
- type: precision_at_10
value: 3.5770000000000004
- type: precision_at_100
value: 0.783
- type: precision_at_1000
value: 0.16
- type: precision_at_3
value: 7.971
- type: precision_at_5
value: 5.692
- type: recall_at_1
value: 10.742
- type: recall_at_10
value: 24.157999999999998
- type: recall_at_100
value: 42.091
- type: recall_at_1000
value: 70.054
- type: recall_at_3
value: 17.916999999999998
- type: recall_at_5
value: 20.131
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 7.831
- type: map_at_10
value: 10.749
- type: map_at_100
value: 11.279
- type: map_at_1000
value: 11.397
- type: map_at_3
value: 9.78
- type: map_at_5
value: 10.459999999999999
- type: mrr_at_1
value: 8.872
- type: mrr_at_10
value: 11.898
- type: mrr_at_100
value: 12.466000000000001
- type: mrr_at_1000
value: 12.583
- type: mrr_at_3
value: 10.875
- type: mrr_at_5
value: 11.577
- type: ndcg_at_1
value: 8.872
- type: ndcg_at_10
value: 12.642000000000001
- type: ndcg_at_100
value: 16.032
- type: ndcg_at_1000
value: 19.567999999999998
- type: ndcg_at_3
value: 10.674999999999999
- type: ndcg_at_5
value: 11.886
- type: precision_at_1
value: 8.872
- type: precision_at_10
value: 2.015
- type: precision_at_100
value: 0.41200000000000003
- type: precision_at_1000
value: 0.077
- type: precision_at_3
value: 4.806
- type: precision_at_5
value: 3.512
- type: recall_at_1
value: 7.831
- type: recall_at_10
value: 17.511
- type: recall_at_100
value: 34.461000000000006
- type: recall_at_1000
value: 62.01
- type: recall_at_3
value: 12.089
- type: recall_at_5
value: 15.139
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 3.3300000000000005
- type: map_at_10
value: 5.8709999999999996
- type: map_at_100
value: 6.7860000000000005
- type: map_at_1000
value: 6.955
- type: map_at_3
value: 4.714
- type: map_at_5
value: 5.26
- type: mrr_at_1
value: 7.101
- type: mrr_at_10
value: 12.125
- type: mrr_at_100
value: 13.200000000000001
- type: mrr_at_1000
value: 13.295000000000002
- type: mrr_at_3
value: 10.119
- type: mrr_at_5
value: 11.038
- type: ndcg_at_1
value: 7.101
- type: ndcg_at_10
value: 9.159
- type: ndcg_at_100
value: 14.030000000000001
- type: ndcg_at_1000
value: 18.013
- type: ndcg_at_3
value: 6.6739999999999995
- type: ndcg_at_5
value: 7.4719999999999995
- type: precision_at_1
value: 7.101
- type: precision_at_10
value: 3.16
- type: precision_at_100
value: 0.84
- type: precision_at_1000
value: 0.156
- type: precision_at_3
value: 5.081
- type: precision_at_5
value: 4.143
- type: recall_at_1
value: 3.3300000000000005
- type: recall_at_10
value: 12.215
- type: recall_at_100
value: 29.683999999999997
- type: recall_at_1000
value: 52.951
- type: recall_at_3
value: 6.356000000000001
- type: recall_at_5
value: 8.315
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 1.718
- type: map_at_10
value: 3.639
- type: map_at_100
value: 4.853
- type: map_at_1000
value: 5.219
- type: map_at_3
value: 2.6149999999999998
- type: map_at_5
value: 3.073
- type: mrr_at_1
value: 20
- type: mrr_at_10
value: 26.88
- type: mrr_at_100
value: 27.753
- type: mrr_at_1000
value: 27.822000000000003
- type: mrr_at_3
value: 24.667
- type: mrr_at_5
value: 25.654
- type: ndcg_at_1
value: 15
- type: ndcg_at_10
value: 10.878
- type: ndcg_at_100
value: 12.011
- type: ndcg_at_1000
value: 16.492
- type: ndcg_at_3
value: 12.818999999999999
- type: ndcg_at_5
value: 11.554
- type: precision_at_1
value: 20
- type: precision_at_10
value: 9.625
- type: precision_at_100
value: 3.037
- type: precision_at_1000
value: 0.7080000000000001
- type: precision_at_3
value: 15.082999999999998
- type: precision_at_5
value: 12.1
- type: recall_at_1
value: 1.718
- type: recall_at_10
value: 5.716
- type: recall_at_100
value: 14.266000000000002
- type: recall_at_1000
value: 30.012
- type: recall_at_3
value: 3.108
- type: recall_at_5
value: 4.181
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 41.114999999999995
- type: f1
value: 37.00141090816854
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 5.523
- type: map_at_10
value: 8.036
- type: map_at_100
value: 8.581999999999999
- type: map_at_1000
value: 8.657
- type: map_at_3
value: 7.13
- type: map_at_5
value: 7.536
- type: mrr_at_1
value: 5.836
- type: mrr_at_10
value: 8.547
- type: mrr_at_100
value: 9.123000000000001
- type: mrr_at_1000
value: 9.197
- type: mrr_at_3
value: 7.563000000000001
- type: mrr_at_5
value: 8.006
- type: ndcg_at_1
value: 5.836
- type: ndcg_at_10
value: 9.764000000000001
- type: ndcg_at_100
value: 12.866
- type: ndcg_at_1000
value: 15.243
- type: ndcg_at_3
value: 7.7700000000000005
- type: ndcg_at_5
value: 8.518
- type: precision_at_1
value: 5.836
- type: precision_at_10
value: 1.6070000000000002
- type: precision_at_100
value: 0.331
- type: precision_at_1000
value: 0.055
- type: precision_at_3
value: 3.2849999999999997
- type: precision_at_5
value: 2.37
- type: recall_at_1
value: 5.523
- type: recall_at_10
value: 14.795
- type: recall_at_100
value: 29.932
- type: recall_at_1000
value: 48.946
- type: recall_at_3
value: 9.208
- type: recall_at_5
value: 10.984
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 4.135
- type: map_at_10
value: 6.433999999999999
- type: map_at_100
value: 7.196
- type: map_at_1000
value: 7.356999999999999
- type: map_at_3
value: 5.339
- type: map_at_5
value: 5.878
- type: mrr_at_1
value: 8.796
- type: mrr_at_10
value: 12.357999999999999
- type: mrr_at_100
value: 13.208
- type: mrr_at_1000
value: 13.318
- type: mrr_at_3
value: 10.777000000000001
- type: mrr_at_5
value: 11.525
- type: ndcg_at_1
value: 8.796
- type: ndcg_at_10
value: 9.332
- type: ndcg_at_100
value: 13.517999999999999
- type: ndcg_at_1000
value: 17.907999999999998
- type: ndcg_at_3
value: 7.481999999999999
- type: ndcg_at_5
value: 8.065
- type: precision_at_1
value: 8.796
- type: precision_at_10
value: 2.8240000000000003
- type: precision_at_100
value: 0.705
- type: precision_at_1000
value: 0.14400000000000002
- type: precision_at_3
value: 4.887
- type: precision_at_5
value: 3.8580000000000005
- type: recall_at_1
value: 4.135
- type: recall_at_10
value: 12.292
- type: recall_at_100
value: 28.915999999999997
- type: recall_at_1000
value: 57.477999999999994
- type: recall_at_3
value: 6.747
- type: recall_at_5
value: 8.667
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 5.928
- type: map_at_10
value: 8.469
- type: map_at_100
value: 8.936
- type: map_at_1000
value: 9.02
- type: map_at_3
value: 7.582
- type: map_at_5
value: 8.021
- type: mrr_at_1
value: 11.857
- type: mrr_at_10
value: 15.675
- type: mrr_at_100
value: 16.273
- type: mrr_at_1000
value: 16.356
- type: mrr_at_3
value: 14.347999999999999
- type: mrr_at_5
value: 14.995
- type: ndcg_at_1
value: 11.857
- type: ndcg_at_10
value: 11.651
- type: ndcg_at_100
value: 14.374999999999998
- type: ndcg_at_1000
value: 16.912
- type: ndcg_at_3
value: 9.625
- type: ndcg_at_5
value: 10.474
- type: precision_at_1
value: 11.857
- type: precision_at_10
value: 2.777
- type: precision_at_100
value: 0.503
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 6.140000000000001
- type: precision_at_5
value: 4.362
- type: recall_at_1
value: 5.928
- type: recall_at_10
value: 13.883000000000001
- type: recall_at_100
value: 25.137999999999998
- type: recall_at_1000
value: 42.315999999999995
- type: recall_at_3
value: 9.21
- type: recall_at_5
value: 10.905
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 65.4388
- type: ap
value: 60.440774024423426
- type: f1
value: 65.31315753102281
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 3.4479999999999995
- type: map_at_10
value: 5.74
- type: map_at_100
value: 6.2780000000000005
- type: map_at_1000
value: 6.358999999999999
- type: map_at_3
value: 4.82
- type: map_at_5
value: 5.3
- type: mrr_at_1
value: 3.5389999999999997
- type: mrr_at_10
value: 5.906000000000001
- type: mrr_at_100
value: 6.455
- type: mrr_at_1000
value: 6.5360000000000005
- type: mrr_at_3
value: 4.9639999999999995
- type: mrr_at_5
value: 5.453
- type: ndcg_at_1
value: 3.5389999999999997
- type: ndcg_at_10
value: 7.255000000000001
- type: ndcg_at_100
value: 10.308
- type: ndcg_at_1000
value: 12.93
- type: ndcg_at_3
value: 5.314
- type: ndcg_at_5
value: 6.184
- type: precision_at_1
value: 3.5389999999999997
- type: precision_at_10
value: 1.246
- type: precision_at_100
value: 0.28500000000000003
- type: precision_at_1000
value: 0.051000000000000004
- type: precision_at_3
value: 2.297
- type: precision_at_5
value: 1.814
- type: recall_at_1
value: 3.4479999999999995
- type: recall_at_10
value: 11.982
- type: recall_at_100
value: 27.123
- type: recall_at_1000
value: 48.489
- type: recall_at_3
value: 6.607
- type: recall_at_5
value: 8.706
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 85.9484724122207
- type: f1
value: 85.39768490584245
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 58.48837209302326
- type: f1
value: 39.10849416181491
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 60.632145258910555
- type: f1
value: 58.09773014884143
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 67.68325487558843
- type: f1
value: 65.91204845805859
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 26.41069242141184
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 23.307848920918044
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 28.270878365120332
- type: mrr
value: 29.057926505909254
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 1.855
- type: map_at_10
value: 3.582
- type: map_at_100
value: 4.694
- type: map_at_1000
value: 5.739
- type: map_at_3
value: 2.677
- type: map_at_5
value: 3.1
- type: mrr_at_1
value: 18.884999999999998
- type: mrr_at_10
value: 27.256999999999998
- type: mrr_at_100
value: 28.327999999999996
- type: mrr_at_1000
value: 28.402
- type: mrr_at_3
value: 24.2
- type: mrr_at_5
value: 26.011
- type: ndcg_at_1
value: 17.957
- type: ndcg_at_10
value: 14.051
- type: ndcg_at_100
value: 14.282
- type: ndcg_at_1000
value: 24.3
- type: ndcg_at_3
value: 15.478
- type: ndcg_at_5
value: 14.782
- type: precision_at_1
value: 18.884999999999998
- type: precision_at_10
value: 10.743
- type: precision_at_100
value: 4.449
- type: precision_at_1000
value: 1.7670000000000001
- type: precision_at_3
value: 14.654
- type: precision_at_5
value: 12.940999999999999
- type: recall_at_1
value: 1.855
- type: recall_at_10
value: 6.861000000000001
- type: recall_at_100
value: 18.044
- type: recall_at_1000
value: 52.712
- type: recall_at_3
value: 3.3369999999999997
- type: recall_at_5
value: 4.562
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 4.881
- type: map_at_10
value: 8.241999999999999
- type: map_at_100
value: 8.956999999999999
- type: map_at_1000
value: 9.062000000000001
- type: map_at_3
value: 6.981
- type: map_at_5
value: 7.61
- type: mrr_at_1
value: 5.5329999999999995
- type: mrr_at_10
value: 9.184000000000001
- type: mrr_at_100
value: 9.918000000000001
- type: mrr_at_1000
value: 10.018
- type: mrr_at_3
value: 7.836
- type: mrr_at_5
value: 8.518
- type: ndcg_at_1
value: 5.5329999999999995
- type: ndcg_at_10
value: 10.554
- type: ndcg_at_100
value: 14.341999999999999
- type: ndcg_at_1000
value: 17.458000000000002
- type: ndcg_at_3
value: 7.8759999999999994
- type: ndcg_at_5
value: 9.023
- type: precision_at_1
value: 5.5329999999999995
- type: precision_at_10
value: 1.944
- type: precision_at_100
value: 0.411
- type: precision_at_1000
value: 0.07100000000000001
- type: precision_at_3
value: 3.669
- type: precision_at_5
value: 2.8160000000000003
- type: recall_at_1
value: 4.881
- type: recall_at_10
value: 16.898
- type: recall_at_100
value: 34.625
- type: recall_at_1000
value: 58.901
- type: recall_at_3
value: 9.651
- type: recall_at_5
value: 12.35
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 53.159
- type: map_at_10
value: 64.053
- type: map_at_100
value: 64.938
- type: map_at_1000
value: 64.994
- type: map_at_3
value: 61.413
- type: map_at_5
value: 62.966
- type: mrr_at_1
value: 61.129999999999995
- type: mrr_at_10
value: 68.84400000000001
- type: mrr_at_100
value: 69.3
- type: mrr_at_1000
value: 69.319
- type: mrr_at_3
value: 67.113
- type: mrr_at_5
value: 68.162
- type: ndcg_at_1
value: 61.160000000000004
- type: ndcg_at_10
value: 68.944
- type: ndcg_at_100
value: 72.10499999999999
- type: ndcg_at_1000
value: 73.046
- type: ndcg_at_3
value: 65.223
- type: ndcg_at_5
value: 67.05
- type: precision_at_1
value: 61.160000000000004
- type: precision_at_10
value: 10.392999999999999
- type: precision_at_100
value: 1.327
- type: precision_at_1000
value: 0.149
- type: precision_at_3
value: 28.13
- type: precision_at_5
value: 18.656
- type: recall_at_1
value: 53.159
- type: recall_at_10
value: 78.412
- type: recall_at_100
value: 91.399
- type: recall_at_1000
value: 97.52
- type: recall_at_3
value: 67.794
- type: recall_at_5
value: 72.801
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 30.140589231842256
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 39.92770613505385
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 1.8450000000000002
- type: map_at_10
value: 4.172
- type: map_at_100
value: 5.092
- type: map_at_1000
value: 5.3100000000000005
- type: map_at_3
value: 3.093
- type: map_at_5
value: 3.6450000000000005
- type: mrr_at_1
value: 9.1
- type: mrr_at_10
value: 15.15
- type: mrr_at_100
value: 16.216
- type: mrr_at_1000
value: 16.332
- type: mrr_at_3
value: 12.55
- type: mrr_at_5
value: 13.975000000000001
- type: ndcg_at_1
value: 9.1
- type: ndcg_at_10
value: 8.065999999999999
- type: ndcg_at_100
value: 12.982
- type: ndcg_at_1000
value: 18.046
- type: ndcg_at_3
value: 7.295999999999999
- type: ndcg_at_5
value: 6.572
- type: precision_at_1
value: 9.1
- type: precision_at_10
value: 4.29
- type: precision_at_100
value: 1.16
- type: precision_at_1000
value: 0.23900000000000002
- type: precision_at_3
value: 6.833
- type: precision_at_5
value: 5.88
- type: recall_at_1
value: 1.8450000000000002
- type: recall_at_10
value: 8.706999999999999
- type: recall_at_100
value: 23.645
- type: recall_at_1000
value: 48.597
- type: recall_at_3
value: 4.175
- type: recall_at_5
value: 5.973
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 75.59024815989618
- type: cos_sim_spearman
value: 68.11624653233133
- type: euclidean_pearson
value: 73.27920094980502
- type: euclidean_spearman
value: 68.11632959681863
- type: manhattan_pearson
value: 72.54935141266294
- type: manhattan_spearman
value: 67.12457070604133
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 69.40126270570799
- type: cos_sim_spearman
value: 62.14207404840335
- type: euclidean_pearson
value: 66.27602017682412
- type: euclidean_spearman
value: 62.143384728461314
- type: manhattan_pearson
value: 67.07706053549664
- type: manhattan_spearman
value: 63.06497657163255
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 75.5989515866992
- type: cos_sim_spearman
value: 77.15211512453997
- type: euclidean_pearson
value: 76.70296919445704
- type: euclidean_spearman
value: 77.15215294384531
- type: manhattan_pearson
value: 77.00183340244841
- type: manhattan_spearman
value: 77.54347126493187
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 73.76592708615566
- type: cos_sim_spearman
value: 70.57102535486983
- type: euclidean_pearson
value: 73.16493844323281
- type: euclidean_spearman
value: 70.57101566858893
- type: manhattan_pearson
value: 73.3644832097739
- type: manhattan_spearman
value: 70.93527541966915
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 75.95076880553377
- type: cos_sim_spearman
value: 77.68458699868269
- type: euclidean_pearson
value: 77.7470713475935
- type: euclidean_spearman
value: 77.6845933113232
- type: manhattan_pearson
value: 78.19369618957612
- type: manhattan_spearman
value: 78.11088657087784
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 71.9715763028299
- type: cos_sim_spearman
value: 73.53220647955904
- type: euclidean_pearson
value: 73.57406594330985
- type: euclidean_spearman
value: 73.53303581777323
- type: manhattan_pearson
value: 74.03967460920595
- type: manhattan_spearman
value: 74.05778553630698
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 78.73667148725723
- type: cos_sim_spearman
value: 80.81028828869353
- type: euclidean_pearson
value: 81.15810431179573
- type: euclidean_spearman
value: 80.81116429309112
- type: manhattan_pearson
value: 81.55719120035107
- type: manhattan_spearman
value: 81.20882260152872
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 61.43534524580482
- type: cos_sim_spearman
value: 59.839157733781434
- type: euclidean_pearson
value: 61.83093863698779
- type: euclidean_spearman
value: 59.839157733781434
- type: manhattan_pearson
value: 62.55988010471628
- type: manhattan_spearman
value: 60.30306061143011
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 72.25188934839379
- type: cos_sim_spearman
value: 70.9113050369473
- type: euclidean_pearson
value: 72.68710352046212
- type: euclidean_spearman
value: 70.9113534378691
- type: manhattan_pearson
value: 73.09745859415004
- type: manhattan_spearman
value: 71.26505067192102
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 67.5036392977626
- type: mrr
value: 87.43891003694925
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 20.889
- type: map_at_10
value: 27.165
- type: map_at_100
value: 28.368
- type: map_at_1000
value: 28.483999999999998
- type: map_at_3
value: 25.180999999999997
- type: map_at_5
value: 26.269
- type: mrr_at_1
value: 22
- type: mrr_at_10
value: 28.512999999999998
- type: mrr_at_100
value: 29.531000000000002
- type: mrr_at_1000
value: 29.635
- type: mrr_at_3
value: 26.611
- type: mrr_at_5
value: 27.594
- type: ndcg_at_1
value: 22
- type: ndcg_at_10
value: 30.814000000000004
- type: ndcg_at_100
value: 36.647999999999996
- type: ndcg_at_1000
value: 39.81
- type: ndcg_at_3
value: 26.845999999999997
- type: ndcg_at_5
value: 28.677999999999997
- type: precision_at_1
value: 22
- type: precision_at_10
value: 4.5
- type: precision_at_100
value: 0.773
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 10.778
- type: precision_at_5
value: 7.5329999999999995
- type: recall_at_1
value: 20.889
- type: recall_at_10
value: 40.861
- type: recall_at_100
value: 68.089
- type: recall_at_1000
value: 93.05
- type: recall_at_3
value: 30.083
- type: recall_at_5
value: 34.556
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.47524752475248
- type: cos_sim_ap
value: 75.756486791625
- type: cos_sim_f1
value: 70.0162074554295
- type: cos_sim_precision
value: 76.14571092831962
- type: cos_sim_recall
value: 64.8
- type: dot_accuracy
value: 99.47524752475248
- type: dot_ap
value: 75.756486791625
- type: dot_f1
value: 70.0162074554295
- type: dot_precision
value: 76.14571092831962
- type: dot_recall
value: 64.8
- type: euclidean_accuracy
value: 99.47524752475248
- type: euclidean_ap
value: 75.756486791625
- type: euclidean_f1
value: 70.0162074554295
- type: euclidean_precision
value: 76.14571092831962
- type: euclidean_recall
value: 64.8
- type: manhattan_accuracy
value: 99.53069306930693
- type: manhattan_ap
value: 78.93311079752957
- type: manhattan_f1
value: 72.61292166952545
- type: manhattan_precision
value: 84.77970627503338
- type: manhattan_recall
value: 63.5
- type: max_accuracy
value: 99.53069306930693
- type: max_ap
value: 78.93311079752957
- type: max_f1
value: 72.61292166952545
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 38.956591584917824
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 28.829387041051085
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 41.618168302388256
- type: mrr
value: 42.031210211357276
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.716182681356333
- type: cos_sim_spearman
value: 28.852160879670087
- type: dot_pearson
value: 29.716182648715844
- type: dot_spearman
value: 28.951026187665967
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.058
- type: map_at_10
value: 0.445
- type: map_at_100
value: 2.489
- type: map_at_1000
value: 6.3100000000000005
- type: map_at_3
value: 0.16999999999999998
- type: map_at_5
value: 0.254
- type: mrr_at_1
value: 32
- type: mrr_at_10
value: 46.016
- type: mrr_at_100
value: 46.683
- type: mrr_at_1000
value: 46.719
- type: mrr_at_3
value: 41.667
- type: mrr_at_5
value: 42.967
- type: ndcg_at_1
value: 26
- type: ndcg_at_10
value: 29.885
- type: ndcg_at_100
value: 22.958000000000002
- type: ndcg_at_1000
value: 22.244
- type: ndcg_at_3
value: 29.787999999999997
- type: ndcg_at_5
value: 29.494999999999997
- type: precision_at_1
value: 32
- type: precision_at_10
value: 33.800000000000004
- type: precision_at_100
value: 24.52
- type: precision_at_1000
value: 11.196
- type: precision_at_3
value: 35.333
- type: precision_at_5
value: 34
- type: recall_at_1
value: 0.058
- type: recall_at_10
value: 0.657
- type: recall_at_100
value: 5.069
- type: recall_at_1000
value: 22.447
- type: recall_at_3
value: 0.2
- type: recall_at_5
value: 0.32299999999999995
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.157
- type: map_at_10
value: 6.787999999999999
- type: map_at_100
value: 9.948
- type: map_at_1000
value: 11.331
- type: map_at_3
value: 4.642
- type: map_at_5
value: 5.718999999999999
- type: mrr_at_1
value: 28.571
- type: mrr_at_10
value: 39.195
- type: mrr_at_100
value: 40.778999999999996
- type: mrr_at_1000
value: 40.797
- type: mrr_at_3
value: 36.394999999999996
- type: mrr_at_5
value: 38.129000000000005
- type: ndcg_at_1
value: 28.571
- type: ndcg_at_10
value: 17.936
- type: ndcg_at_100
value: 26.552999999999997
- type: ndcg_at_1000
value: 38.318000000000005
- type: ndcg_at_3
value: 24.192
- type: ndcg_at_5
value: 21.732000000000003
- type: precision_at_1
value: 28.571
- type: precision_at_10
value: 14.285999999999998
- type: precision_at_100
value: 5.489999999999999
- type: precision_at_1000
value: 1.2710000000000001
- type: precision_at_3
value: 24.490000000000002
- type: precision_at_5
value: 20.816000000000003
- type: recall_at_1
value: 2.157
- type: recall_at_10
value: 9.729000000000001
- type: recall_at_100
value: 32.688
- type: recall_at_1000
value: 69.123
- type: recall_at_3
value: 5.26
- type: recall_at_5
value: 7.109
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 67.9134
- type: ap
value: 12.774220384041032
- type: f1
value: 52.153059662642434
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 53.613469156762875
- type: f1
value: 53.786522868566145
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 30.747359446594245
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.97806520832091
- type: cos_sim_ap
value: 66.35427447671117
- type: cos_sim_f1
value: 63.0426851514046
- type: cos_sim_precision
value: 58.47056169636815
- type: cos_sim_recall
value: 68.3905013192612
- type: dot_accuracy
value: 83.97806520832091
- type: dot_ap
value: 66.35427447671117
- type: dot_f1
value: 63.0426851514046
- type: dot_precision
value: 58.47056169636815
- type: dot_recall
value: 68.3905013192612
- type: euclidean_accuracy
value: 83.97806520832091
- type: euclidean_ap
value: 66.35427447671117
- type: euclidean_f1
value: 63.0426851514046
- type: euclidean_precision
value: 58.47056169636815
- type: euclidean_recall
value: 68.3905013192612
- type: manhattan_accuracy
value: 83.97210466710378
- type: manhattan_ap
value: 65.97618382203181
- type: manhattan_f1
value: 62.53991648243675
- type: manhattan_precision
value: 58.501838235294116
- type: manhattan_recall
value: 67.17678100263852
- type: max_accuracy
value: 83.97806520832091
- type: max_ap
value: 66.35427447671117
- type: max_f1
value: 63.0426851514046
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 86.71362595567975
- type: cos_sim_ap
value: 80.86796720185393
- type: cos_sim_f1
value: 73.24097703244622
- type: cos_sim_precision
value: 69.5540783824955
- type: cos_sim_recall
value: 77.34062211271944
- type: dot_accuracy
value: 86.71362595567975
- type: dot_ap
value: 80.86797238493406
- type: dot_f1
value: 73.24097703244622
- type: dot_precision
value: 69.5540783824955
- type: dot_recall
value: 77.34062211271944
- type: euclidean_accuracy
value: 86.71362595567975
- type: euclidean_ap
value: 80.86796690301992
- type: euclidean_f1
value: 73.24097703244622
- type: euclidean_precision
value: 69.5540783824955
- type: euclidean_recall
value: 77.34062211271944
- type: manhattan_accuracy
value: 86.64376916210657
- type: manhattan_ap
value: 80.8520473693602
- type: manhattan_f1
value: 73.15887850467291
- type: manhattan_precision
value: 71.10158407208255
- type: manhattan_recall
value: 75.33877425315676
- type: max_accuracy
value: 86.71362595567975
- type: max_ap
value: 80.86797238493406
- type: max_f1
value: 73.24097703244622