metadata
tags:
- mteb
model-index:
- name: nomic_classification_wordpca
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 70.80597014925372
- type: ap
value: 34.18495644285039
- type: f1
value: 65.12501428730288
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 67.700325
- type: ap
value: 62.841873581522336
- type: f1
value: 67.168918887186
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 35.455999999999996
- type: f1
value: 34.87747132191852
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 17.354
- type: map_at_10
value: 29.286
- type: map_at_100
value: 30.514000000000003
- type: map_at_1000
value: 30.567
- type: map_at_3
value: 25.865
- type: map_at_5
value: 27.916999999999998
- type: mrr_at_1
value: 18.065
- type: mrr_at_10
value: 29.53
- type: mrr_at_100
value: 30.758999999999997
- type: mrr_at_1000
value: 30.812
- type: mrr_at_3
value: 26.090999999999998
- type: mrr_at_5
value: 28.16
- type: ndcg_at_1
value: 17.354
- type: ndcg_at_10
value: 35.658
- type: ndcg_at_100
value: 41.638
- type: ndcg_at_1000
value: 43.126999999999995
- type: ndcg_at_3
value: 28.647
- type: ndcg_at_5
value: 32.357
- type: precision_at_1
value: 17.354
- type: precision_at_10
value: 5.59
- type: precision_at_100
value: 0.839
- type: precision_at_1000
value: 0.096
- type: precision_at_3
value: 12.232999999999999
- type: precision_at_5
value: 9.147
- type: recall_at_1
value: 17.354
- type: recall_at_10
value: 55.903000000000006
- type: recall_at_100
value: 83.855
- type: recall_at_1000
value: 95.733
- type: recall_at_3
value: 36.7
- type: recall_at_5
value: 45.733000000000004
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 33.33042693504757
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 23.879333444188894
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 52.782491804304975
- type: mrr
value: 66.79835553796772
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 71.52968195581401
- type: cos_sim_spearman
value: 71.47692985515434
- type: euclidean_pearson
value: 71.4263891046911
- type: euclidean_spearman
value: 71.47692985515434
- type: manhattan_pearson
value: 71.4122663134462
- type: manhattan_spearman
value: 72.05405143899608
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 69.31493506493507
- type: f1
value: 68.35552609562312
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 31.64074086270642
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 22.03423540035169
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 20.915
- type: map_at_10
value: 27.394000000000002
- type: map_at_100
value: 28.451999999999998
- type: map_at_1000
value: 28.602
- type: map_at_3
value: 24.919
- type: map_at_5
value: 26.468999999999998
- type: mrr_at_1
value: 26.179999999999996
- type: mrr_at_10
value: 32.317
- type: mrr_at_100
value: 33.211
- type: mrr_at_1000
value: 33.293
- type: mrr_at_3
value: 30.329
- type: mrr_at_5
value: 31.531
- type: ndcg_at_1
value: 26.179999999999996
- type: ndcg_at_10
value: 31.744
- type: ndcg_at_100
value: 36.684
- type: ndcg_at_1000
value: 39.891
- type: ndcg_at_3
value: 28.260999999999996
- type: ndcg_at_5
value: 30.076000000000004
- type: precision_at_1
value: 26.179999999999996
- type: precision_at_10
value: 6.0089999999999995
- type: precision_at_100
value: 1.043
- type: precision_at_1000
value: 0.16199999999999998
- type: precision_at_3
value: 13.447999999999999
- type: precision_at_5
value: 9.957
- type: recall_at_1
value: 20.915
- type: recall_at_10
value: 39.377
- type: recall_at_100
value: 61.41799999999999
- type: recall_at_1000
value: 83.096
- type: recall_at_3
value: 28.988000000000003
- type: recall_at_5
value: 34.147
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 15.379999999999999
- type: map_at_10
value: 20.892
- type: map_at_100
value: 21.766
- type: map_at_1000
value: 21.877
- type: map_at_3
value: 19.064
- type: map_at_5
value: 20.072000000000003
- type: mrr_at_1
value: 19.872999999999998
- type: mrr_at_10
value: 25.34
- type: mrr_at_100
value: 26.108999999999998
- type: mrr_at_1000
value: 26.177
- type: mrr_at_3
value: 23.546
- type: mrr_at_5
value: 24.517
- type: ndcg_at_1
value: 19.872999999999998
- type: ndcg_at_10
value: 24.733
- type: ndcg_at_100
value: 28.825
- type: ndcg_at_1000
value: 31.56
- type: ndcg_at_3
value: 21.685
- type: ndcg_at_5
value: 23.047
- type: precision_at_1
value: 19.872999999999998
- type: precision_at_10
value: 4.726
- type: precision_at_100
value: 0.8380000000000001
- type: precision_at_1000
value: 0.13
- type: precision_at_3
value: 10.488
- type: precision_at_5
value: 7.580000000000001
- type: recall_at_1
value: 15.379999999999999
- type: recall_at_10
value: 31.705
- type: recall_at_100
value: 50.019999999999996
- type: recall_at_1000
value: 68.948
- type: recall_at_3
value: 22.939
- type: recall_at_5
value: 26.590999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 23.873
- type: map_at_10
value: 32.033
- type: map_at_100
value: 33.117000000000004
- type: map_at_1000
value: 33.217
- type: map_at_3
value: 29.799
- type: map_at_5
value: 31.108000000000004
- type: mrr_at_1
value: 27.711999999999996
- type: mrr_at_10
value: 35.186
- type: mrr_at_100
value: 36.095
- type: mrr_at_1000
value: 36.162
- type: mrr_at_3
value: 33.062000000000005
- type: mrr_at_5
value: 34.385
- type: ndcg_at_1
value: 27.711999999999996
- type: ndcg_at_10
value: 36.497
- type: ndcg_at_100
value: 41.565000000000005
- type: ndcg_at_1000
value: 43.949
- type: ndcg_at_3
value: 32.403
- type: ndcg_at_5
value: 34.492
- type: precision_at_1
value: 27.711999999999996
- type: precision_at_10
value: 5.918
- type: precision_at_100
value: 0.924
- type: precision_at_1000
value: 0.121
- type: precision_at_3
value: 14.587
- type: precision_at_5
value: 10.169
- type: recall_at_1
value: 23.873
- type: recall_at_10
value: 46.914
- type: recall_at_100
value: 69.527
- type: recall_at_1000
value: 86.921
- type: recall_at_3
value: 35.843
- type: recall_at_5
value: 40.99
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 10.377
- type: map_at_10
value: 13.936000000000002
- type: map_at_100
value: 14.731
- type: map_at_1000
value: 14.843
- type: map_at_3
value: 12.498
- type: map_at_5
value: 13.309999999999999
- type: mrr_at_1
value: 11.299
- type: mrr_at_10
value: 14.951
- type: mrr_at_100
value: 15.790000000000001
- type: mrr_at_1000
value: 15.891
- type: mrr_at_3
value: 13.522
- type: mrr_at_5
value: 14.313
- type: ndcg_at_1
value: 11.299
- type: ndcg_at_10
value: 16.319
- type: ndcg_at_100
value: 20.748
- type: ndcg_at_1000
value: 24.166999999999998
- type: ndcg_at_3
value: 13.413
- type: ndcg_at_5
value: 14.828
- type: precision_at_1
value: 11.299
- type: precision_at_10
value: 2.588
- type: precision_at_100
value: 0.513
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 5.499
- type: precision_at_5
value: 4.136
- type: recall_at_1
value: 10.377
- type: recall_at_10
value: 22.837
- type: recall_at_100
value: 44.043
- type: recall_at_1000
value: 70.935
- type: recall_at_3
value: 15.009
- type: recall_at_5
value: 18.371000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 5.729
- type: map_at_10
value: 9.216000000000001
- type: map_at_100
value: 9.905999999999999
- type: map_at_1000
value: 10.019
- type: map_at_3
value: 7.996
- type: map_at_5
value: 8.602
- type: mrr_at_1
value: 7.338
- type: mrr_at_10
value: 11.356
- type: mrr_at_100
value: 12.102
- type: mrr_at_1000
value: 12.197
- type: mrr_at_3
value: 9.950000000000001
- type: mrr_at_5
value: 10.597
- type: ndcg_at_1
value: 7.338
- type: ndcg_at_10
value: 11.783000000000001
- type: ndcg_at_100
value: 15.506
- type: ndcg_at_1000
value: 18.719
- type: ndcg_at_3
value: 9.276
- type: ndcg_at_5
value: 10.262
- type: precision_at_1
value: 7.338
- type: precision_at_10
value: 2.3009999999999997
- type: precision_at_100
value: 0.48900000000000005
- type: precision_at_1000
value: 0.08800000000000001
- type: precision_at_3
value: 4.561
- type: precision_at_5
value: 3.383
- type: recall_at_1
value: 5.729
- type: recall_at_10
value: 17.717
- type: recall_at_100
value: 34.410000000000004
- type: recall_at_1000
value: 58.165
- type: recall_at_3
value: 10.742
- type: recall_at_5
value: 13.23
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 14.213999999999999
- type: map_at_10
value: 19.731
- type: map_at_100
value: 20.784
- type: map_at_1000
value: 20.924
- type: map_at_3
value: 17.746000000000002
- type: map_at_5
value: 18.697
- type: mrr_at_1
value: 18.093999999999998
- type: mrr_at_10
value: 23.9
- type: mrr_at_100
value: 24.804000000000002
- type: mrr_at_1000
value: 24.891
- type: mrr_at_3
value: 21.72
- type: mrr_at_5
value: 22.802
- type: ndcg_at_1
value: 18.093999999999998
- type: ndcg_at_10
value: 23.834
- type: ndcg_at_100
value: 29.294999999999998
- type: ndcg_at_1000
value: 32.589
- type: ndcg_at_3
value: 20.173
- type: ndcg_at_5
value: 21.563
- type: precision_at_1
value: 18.093999999999998
- type: precision_at_10
value: 4.629
- type: precision_at_100
value: 0.894
- type: precision_at_1000
value: 0.13799999999999998
- type: precision_at_3
value: 9.593
- type: precision_at_5
value: 6.968000000000001
- type: recall_at_1
value: 14.213999999999999
- type: recall_at_10
value: 32.238
- type: recall_at_100
value: 57.096999999999994
- type: recall_at_1000
value: 80.284
- type: recall_at_3
value: 21.756
- type: recall_at_5
value: 25.511
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 10.9
- type: map_at_10
value: 15.719
- type: map_at_100
value: 16.699
- type: map_at_1000
value: 16.833000000000002
- type: map_at_3
value: 14.130999999999998
- type: map_at_5
value: 15.011
- type: mrr_at_1
value: 13.584
- type: mrr_at_10
value: 18.6
- type: mrr_at_100
value: 19.607
- type: mrr_at_1000
value: 19.692999999999998
- type: mrr_at_3
value: 17.085
- type: mrr_at_5
value: 17.907
- type: ndcg_at_1
value: 13.584
- type: ndcg_at_10
value: 18.913
- type: ndcg_at_100
value: 24.135
- type: ndcg_at_1000
value: 27.590999999999998
- type: ndcg_at_3
value: 16.052
- type: ndcg_at_5
value: 17.352999999999998
- type: precision_at_1
value: 13.584
- type: precision_at_10
value: 3.5839999999999996
- type: precision_at_100
value: 0.74
- type: precision_at_1000
value: 0.122
- type: precision_at_3
value: 7.763000000000001
- type: precision_at_5
value: 5.731
- type: recall_at_1
value: 10.9
- type: recall_at_10
value: 25.680999999999997
- type: recall_at_100
value: 49.147999999999996
- type: recall_at_1000
value: 73.977
- type: recall_at_3
value: 18.043
- type: recall_at_5
value: 21.186
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 12.486
- type: map_at_10
value: 17.156583333333334
- type: map_at_100
value: 18.013749999999998
- type: map_at_1000
value: 18.136999999999997
- type: map_at_3
value: 15.558583333333335
- type: map_at_5
value: 16.42183333333333
- type: mrr_at_1
value: 15.296833333333332
- type: mrr_at_10
value: 20.03541666666667
- type: mrr_at_100
value: 20.8445
- type: mrr_at_1000
value: 20.933333333333334
- type: mrr_at_3
value: 18.420333333333335
- type: mrr_at_5
value: 19.293499999999998
- type: ndcg_at_1
value: 15.296833333333332
- type: ndcg_at_10
value: 20.348166666666664
- type: ndcg_at_100
value: 24.78708333333334
- type: ndcg_at_1000
value: 27.97908333333333
- type: ndcg_at_3
value: 17.439750000000004
- type: ndcg_at_5
value: 18.722583333333333
- type: precision_at_1
value: 15.296833333333332
- type: precision_at_10
value: 3.687916666666667
- type: precision_at_100
value: 0.7038333333333333
- type: precision_at_1000
value: 0.11483333333333334
- type: precision_at_3
value: 8.1305
- type: precision_at_5
value: 5.888333333333334
- type: recall_at_1
value: 12.486
- type: recall_at_10
value: 27.169166666666666
- type: recall_at_100
value: 47.70375
- type: recall_at_1000
value: 70.991
- type: recall_at_3
value: 18.94875
- type: recall_at_5
value: 22.289749999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 8.32
- type: map_at_10
value: 12.171
- type: map_at_100
value: 12.847
- type: map_at_1000
value: 12.939
- type: map_at_3
value: 10.77
- type: map_at_5
value: 11.436
- type: mrr_at_1
value: 10.428999999999998
- type: mrr_at_10
value: 14.285999999999998
- type: mrr_at_100
value: 14.981
- type: mrr_at_1000
value: 15.057
- type: mrr_at_3
value: 12.831999999999999
- type: mrr_at_5
value: 13.546
- type: ndcg_at_1
value: 10.428999999999998
- type: ndcg_at_10
value: 14.896
- type: ndcg_at_100
value: 18.603
- type: ndcg_at_1000
value: 21.259
- type: ndcg_at_3
value: 12.157
- type: ndcg_at_5
value: 13.221
- type: precision_at_1
value: 10.428999999999998
- type: precision_at_10
value: 2.6839999999999997
- type: precision_at_100
value: 0.5
- type: precision_at_1000
value: 0.079
- type: precision_at_3
value: 5.726
- type: precision_at_5
value: 4.109999999999999
- type: recall_at_1
value: 8.32
- type: recall_at_10
value: 21.465999999999998
- type: recall_at_100
value: 38.933
- type: recall_at_1000
value: 59.223000000000006
- type: recall_at_3
value: 13.577
- type: recall_at_5
value: 16.397000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 5.885
- type: map_at_10
value: 8.942
- type: map_at_100
value: 9.543
- type: map_at_1000
value: 9.664
- type: map_at_3
value: 7.964
- type: map_at_5
value: 8.408
- type: mrr_at_1
value: 7.605
- type: mrr_at_10
value: 11.072
- type: mrr_at_100
value: 11.693000000000001
- type: mrr_at_1000
value: 11.797
- type: mrr_at_3
value: 9.945
- type: mrr_at_5
value: 10.511
- type: ndcg_at_1
value: 7.605
- type: ndcg_at_10
value: 11.124
- type: ndcg_at_100
value: 14.536
- type: ndcg_at_1000
value: 18.013
- type: ndcg_at_3
value: 9.205
- type: ndcg_at_5
value: 9.923
- type: precision_at_1
value: 7.605
- type: precision_at_10
value: 2.1340000000000003
- type: precision_at_100
value: 0.46299999999999997
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 4.496
- type: precision_at_5
value: 3.283
- type: recall_at_1
value: 5.885
- type: recall_at_10
value: 15.742
- type: recall_at_100
value: 31.879999999999995
- type: recall_at_1000
value: 57.748
- type: recall_at_3
value: 10.378
- type: recall_at_5
value: 12.181000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 11.709999999999999
- type: map_at_10
value: 15.93
- type: map_at_100
value: 16.692
- type: map_at_1000
value: 16.804
- type: map_at_3
value: 14.729999999999999
- type: map_at_5
value: 15.481
- type: mrr_at_1
value: 14.272000000000002
- type: mrr_at_10
value: 18.820999999999998
- type: mrr_at_100
value: 19.588
- type: mrr_at_1000
value: 19.682
- type: mrr_at_3
value: 17.522
- type: mrr_at_5
value: 18.276999999999997
- type: ndcg_at_1
value: 14.272000000000002
- type: ndcg_at_10
value: 18.747
- type: ndcg_at_100
value: 23.092
- type: ndcg_at_1000
value: 26.241999999999997
- type: ndcg_at_3
value: 16.496
- type: ndcg_at_5
value: 17.635
- type: precision_at_1
value: 14.272000000000002
- type: precision_at_10
value: 3.144
- type: precision_at_100
value: 0.598
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 7.587000000000001
- type: precision_at_5
value: 5.354
- type: recall_at_1
value: 11.709999999999999
- type: recall_at_10
value: 24.62
- type: recall_at_100
value: 45.26
- type: recall_at_1000
value: 68.479
- type: recall_at_3
value: 18.187
- type: recall_at_5
value: 21.233
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 13.626
- type: map_at_10
value: 17.95
- type: map_at_100
value: 18.917
- type: map_at_1000
value: 19.1
- type: map_at_3
value: 16.309
- type: map_at_5
value: 17.148
- type: mrr_at_1
value: 17.194000000000003
- type: mrr_at_10
value: 21.473
- type: mrr_at_100
value: 22.273
- type: mrr_at_1000
value: 22.377
- type: mrr_at_3
value: 19.763
- type: mrr_at_5
value: 20.721
- type: ndcg_at_1
value: 17.194000000000003
- type: ndcg_at_10
value: 21.358
- type: ndcg_at_100
value: 25.884
- type: ndcg_at_1000
value: 29.852
- type: ndcg_at_3
value: 18.528
- type: ndcg_at_5
value: 19.628
- type: precision_at_1
value: 17.194000000000003
- type: precision_at_10
value: 4.19
- type: precision_at_100
value: 0.9450000000000001
- type: precision_at_1000
value: 0.178
- type: precision_at_3
value: 8.827
- type: precision_at_5
value: 6.4030000000000005
- type: recall_at_1
value: 13.626
- type: recall_at_10
value: 27.439999999999998
- type: recall_at_100
value: 49.178
- type: recall_at_1000
value: 76.681
- type: recall_at_3
value: 18.848000000000003
- type: recall_at_5
value: 22.064
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 8.903
- type: map_at_10
value: 11.965
- type: map_at_100
value: 12.711
- type: map_at_1000
value: 12.822
- type: map_at_3
value: 10.777000000000001
- type: map_at_5
value: 11.32
- type: mrr_at_1
value: 9.982000000000001
- type: mrr_at_10
value: 13.123000000000001
- type: mrr_at_100
value: 13.880999999999998
- type: mrr_at_1000
value: 13.983
- type: mrr_at_3
value: 11.768
- type: mrr_at_5
value: 12.415
- type: ndcg_at_1
value: 9.982000000000001
- type: ndcg_at_10
value: 14.23
- type: ndcg_at_100
value: 18.572
- type: ndcg_at_1000
value: 21.917
- type: ndcg_at_3
value: 11.628
- type: ndcg_at_5
value: 12.642999999999999
- type: precision_at_1
value: 9.982000000000001
- type: precision_at_10
value: 2.348
- type: precision_at_100
value: 0.49899999999999994
- type: precision_at_1000
value: 0.087
- type: precision_at_3
value: 4.9910000000000005
- type: precision_at_5
value: 3.5860000000000003
- type: recall_at_1
value: 8.903
- type: recall_at_10
value: 20.293
- type: recall_at_100
value: 41.531
- type: recall_at_1000
value: 67.435
- type: recall_at_3
value: 13.075000000000001
- type: recall_at_5
value: 15.576
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.4510000000000005
- type: map_at_10
value: 9.776
- type: map_at_100
value: 11.106
- type: map_at_1000
value: 11.289
- type: map_at_3
value: 8.039
- type: map_at_5
value: 8.822000000000001
- type: mrr_at_1
value: 12.313
- type: mrr_at_10
value: 19.846
- type: mrr_at_100
value: 21.035999999999998
- type: mrr_at_1000
value: 21.108
- type: mrr_at_3
value: 17.264
- type: mrr_at_5
value: 18.554000000000002
- type: ndcg_at_1
value: 12.313
- type: ndcg_at_10
value: 14.763000000000002
- type: ndcg_at_100
value: 21.182000000000002
- type: ndcg_at_1000
value: 24.98
- type: ndcg_at_3
value: 11.418000000000001
- type: ndcg_at_5
value: 12.434000000000001
- type: precision_at_1
value: 12.313
- type: precision_at_10
value: 4.932
- type: precision_at_100
value: 1.18
- type: precision_at_1000
value: 0.187
- type: precision_at_3
value: 8.795
- type: precision_at_5
value: 6.84
- type: recall_at_1
value: 5.4510000000000005
- type: recall_at_10
value: 18.998
- type: recall_at_100
value: 41.927
- type: recall_at_1000
value: 63.660000000000004
- type: recall_at_3
value: 10.91
- type: recall_at_5
value: 13.700000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 2.902
- type: map_at_10
value: 6.98
- type: map_at_100
value: 9.789
- type: map_at_1000
value: 10.602
- type: map_at_3
value: 5.008
- type: map_at_5
value: 5.8069999999999995
- type: mrr_at_1
value: 31.75
- type: mrr_at_10
value: 42.102000000000004
- type: mrr_at_100
value: 43.01
- type: mrr_at_1000
value: 43.047000000000004
- type: mrr_at_3
value: 39.292
- type: mrr_at_5
value: 40.879
- type: ndcg_at_1
value: 23.375
- type: ndcg_at_10
value: 18.685
- type: ndcg_at_100
value: 21.818
- type: ndcg_at_1000
value: 28.37
- type: ndcg_at_3
value: 21.13
- type: ndcg_at_5
value: 19.716
- type: precision_at_1
value: 31.75
- type: precision_at_10
value: 16.85
- type: precision_at_100
value: 5.577
- type: precision_at_1000
value: 1.239
- type: precision_at_3
value: 25.25
- type: precision_at_5
value: 21.45
- type: recall_at_1
value: 2.902
- type: recall_at_10
value: 11.200000000000001
- type: recall_at_100
value: 28.299000000000003
- type: recall_at_1000
value: 50.495999999999995
- type: recall_at_3
value: 6.273
- type: recall_at_5
value: 7.901
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 40.385
- type: f1
value: 37.518235927886295
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 12.325999999999999
- type: map_at_10
value: 19.023
- type: map_at_100
value: 19.965
- type: map_at_1000
value: 20.055
- type: map_at_3
value: 16.788
- type: map_at_5
value: 18.037
- type: mrr_at_1
value: 13.096
- type: mrr_at_10
value: 20.149
- type: mrr_at_100
value: 21.109
- type: mrr_at_1000
value: 21.191
- type: mrr_at_3
value: 17.843999999999998
- type: mrr_at_5
value: 19.121
- type: ndcg_at_1
value: 13.096
- type: ndcg_at_10
value: 23.192
- type: ndcg_at_100
value: 28.174
- type: ndcg_at_1000
value: 30.682
- type: ndcg_at_3
value: 18.566
- type: ndcg_at_5
value: 20.806
- type: precision_at_1
value: 13.096
- type: precision_at_10
value: 3.8150000000000004
- type: precision_at_100
value: 0.654
- type: precision_at_1000
value: 0.089
- type: precision_at_3
value: 8.136000000000001
- type: precision_at_5
value: 6.034
- type: recall_at_1
value: 12.325999999999999
- type: recall_at_10
value: 35.248000000000005
- type: recall_at_100
value: 58.819
- type: recall_at_1000
value: 78.278
- type: recall_at_3
value: 22.657
- type: recall_at_5
value: 28.038
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 5.789
- type: map_at_10
value: 9.142999999999999
- type: map_at_100
value: 10.02
- type: map_at_1000
value: 10.222000000000001
- type: map_at_3
value: 7.712
- type: map_at_5
value: 8.491999999999999
- type: mrr_at_1
value: 11.574
- type: mrr_at_10
value: 16.428
- type: mrr_at_100
value: 17.268
- type: mrr_at_1000
value: 17.380000000000003
- type: mrr_at_3
value: 14.609
- type: mrr_at_5
value: 15.651000000000002
- type: ndcg_at_1
value: 11.574
- type: ndcg_at_10
value: 12.687000000000001
- type: ndcg_at_100
value: 17.380000000000003
- type: ndcg_at_1000
value: 22.247
- type: ndcg_at_3
value: 10.411
- type: ndcg_at_5
value: 11.379
- type: precision_at_1
value: 11.574
- type: precision_at_10
value: 3.688
- type: precision_at_100
value: 0.836
- type: precision_at_1000
value: 0.165
- type: precision_at_3
value: 6.842
- type: precision_at_5
value: 5.432
- type: recall_at_1
value: 5.789
- type: recall_at_10
value: 16.134
- type: recall_at_100
value: 35.082
- type: recall_at_1000
value: 65.85600000000001
- type: recall_at_3
value: 9.429
- type: recall_at_5
value: 12.508
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 15.253
- type: map_at_10
value: 21.166
- type: map_at_100
value: 21.94
- type: map_at_1000
value: 22.039
- type: map_at_3
value: 19.431
- type: map_at_5
value: 20.415
- type: mrr_at_1
value: 30.506
- type: mrr_at_10
value: 36.767
- type: mrr_at_100
value: 37.452999999999996
- type: mrr_at_1000
value: 37.511
- type: mrr_at_3
value: 34.855000000000004
- type: mrr_at_5
value: 35.913000000000004
- type: ndcg_at_1
value: 30.506
- type: ndcg_at_10
value: 27.310000000000002
- type: ndcg_at_100
value: 31.094
- type: ndcg_at_1000
value: 33.617999999999995
- type: ndcg_at_3
value: 23.880000000000003
- type: ndcg_at_5
value: 25.557000000000002
- type: precision_at_1
value: 30.506
- type: precision_at_10
value: 6.05
- type: precision_at_100
value: 0.911
- type: precision_at_1000
value: 0.125
- type: precision_at_3
value: 14.999
- type: precision_at_5
value: 10.331
- type: recall_at_1
value: 15.253
- type: recall_at_10
value: 30.25
- type: recall_at_100
value: 45.550000000000004
- type: recall_at_1000
value: 62.532
- type: recall_at_3
value: 22.498
- type: recall_at_5
value: 25.826999999999998
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 66.13080000000001
- type: ap
value: 61.19755857703731
- type: f1
value: 65.75830761955302
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.17
- type: map_at_10
value: 10.051
- type: map_at_100
value: 10.888
- type: map_at_1000
value: 10.987
- type: map_at_3
value: 8.546
- type: map_at_5
value: 9.314
- type: mrr_at_1
value: 6.39
- type: mrr_at_10
value: 10.345
- type: mrr_at_100
value: 11.190999999999999
- type: mrr_at_1000
value: 11.286999999999999
- type: mrr_at_3
value: 8.818
- type: mrr_at_5
value: 9.604
- type: ndcg_at_1
value: 6.361
- type: ndcg_at_10
value: 12.613
- type: ndcg_at_100
value: 17.196
- type: ndcg_at_1000
value: 20.202
- type: ndcg_at_3
value: 9.419
- type: ndcg_at_5
value: 10.82
- type: precision_at_1
value: 6.361
- type: precision_at_10
value: 2.138
- type: precision_at_100
value: 0.45199999999999996
- type: precision_at_1000
value: 0.07100000000000001
- type: precision_at_3
value: 4.05
- type: precision_at_5
value: 3.132
- type: recall_at_1
value: 6.17
- type: recall_at_10
value: 20.628
- type: recall_at_100
value: 42.955
- type: recall_at_1000
value: 67.167
- type: recall_at_3
value: 11.706999999999999
- type: recall_at_5
value: 15.112
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 88.82124943000456
- type: f1
value: 88.09169902063448
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 57.64249886000912
- type: f1
value: 40.11976416066169
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.71149966375251
- type: f1
value: 59.327545383480526
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 69.3476798924008
- type: f1
value: 67.85719000199948
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.702180003024456
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 25.104912750356256
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 28.708351836889097
- type: mrr
value: 29.434552059097435
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.0969999999999995
- type: map_at_10
value: 7.6259999999999994
- type: map_at_100
value: 9.526
- type: map_at_1000
value: 10.785
- type: map_at_3
value: 6.010999999999999
- type: map_at_5
value: 6.707000000000001
- type: mrr_at_1
value: 32.198
- type: mrr_at_10
value: 41.882000000000005
- type: mrr_at_100
value: 42.63
- type: mrr_at_1000
value: 42.692
- type: mrr_at_3
value: 39.628
- type: mrr_at_5
value: 41.146
- type: ndcg_at_1
value: 30.65
- type: ndcg_at_10
value: 23.419
- type: ndcg_at_100
value: 22.442
- type: ndcg_at_1000
value: 31.927
- type: ndcg_at_3
value: 27.173000000000002
- type: ndcg_at_5
value: 25.375999999999998
- type: precision_at_1
value: 32.198
- type: precision_at_10
value: 17.214
- type: precision_at_100
value: 6.183000000000001
- type: precision_at_1000
value: 1.94
- type: precision_at_3
value: 25.697
- type: precision_at_5
value: 21.672
- type: recall_at_1
value: 4.0969999999999995
- type: recall_at_10
value: 11.239
- type: recall_at_100
value: 24.912
- type: recall_at_1000
value: 58.303000000000004
- type: recall_at_3
value: 7.1370000000000005
- type: recall_at_5
value: 8.756
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 9.871
- type: map_at_10
value: 15.822
- type: map_at_100
value: 16.885
- type: map_at_1000
value: 16.980999999999998
- type: map_at_3
value: 13.438
- type: map_at_5
value: 14.802000000000001
- type: mrr_at_1
value: 11.153
- type: mrr_at_10
value: 17.427999999999997
- type: mrr_at_100
value: 18.424
- type: mrr_at_1000
value: 18.506
- type: mrr_at_3
value: 14.976999999999999
- type: mrr_at_5
value: 16.39
- type: ndcg_at_1
value: 11.153
- type: ndcg_at_10
value: 19.842000000000002
- type: ndcg_at_100
value: 25.312
- type: ndcg_at_1000
value: 27.937
- type: ndcg_at_3
value: 14.979999999999999
- type: ndcg_at_5
value: 17.407
- type: precision_at_1
value: 11.153
- type: precision_at_10
value: 3.644
- type: precision_at_100
value: 0.675
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 6.914
- type: precision_at_5
value: 5.487
- type: recall_at_1
value: 9.871
- type: recall_at_10
value: 30.743
- type: recall_at_100
value: 56.330000000000005
- type: recall_at_1000
value: 76.545
- type: recall_at_3
value: 17.951
- type: recall_at_5
value: 23.597
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 60.153
- type: map_at_10
value: 72.152
- type: map_at_100
value: 72.92
- type: map_at_1000
value: 72.961
- type: map_at_3
value: 69.403
- type: map_at_5
value: 71.066
- type: mrr_at_1
value: 69.28
- type: mrr_at_10
value: 76.671
- type: mrr_at_100
value: 76.968
- type: mrr_at_1000
value: 76.98
- type: mrr_at_3
value: 75.253
- type: mrr_at_5
value: 76.127
- type: ndcg_at_1
value: 69.35
- type: ndcg_at_10
value: 76.818
- type: ndcg_at_100
value: 79.143
- type: ndcg_at_1000
value: 79.726
- type: ndcg_at_3
value: 73.393
- type: ndcg_at_5
value: 75.122
- type: precision_at_1
value: 69.35
- type: precision_at_10
value: 11.533
- type: precision_at_100
value: 1.396
- type: precision_at_1000
value: 0.151
- type: precision_at_3
value: 31.703
- type: precision_at_5
value: 20.942
- type: recall_at_1
value: 60.153
- type: recall_at_10
value: 85.668
- type: recall_at_100
value: 94.722
- type: recall_at_1000
value: 98.285
- type: recall_at_3
value: 75.779
- type: recall_at_5
value: 80.593
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 30.46199403095774
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 40.06790279282052
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.435
- type: map_at_10
value: 5.885
- type: map_at_100
value: 7.172000000000001
- type: map_at_1000
value: 7.412000000000001
- type: map_at_3
value: 4.273
- type: map_at_5
value: 5.050000000000001
- type: mrr_at_1
value: 12
- type: mrr_at_10
value: 19.368
- type: mrr_at_100
value: 20.602
- type: mrr_at_1000
value: 20.697
- type: mrr_at_3
value: 16.5
- type: mrr_at_5
value: 18.18
- type: ndcg_at_1
value: 12
- type: ndcg_at_10
value: 10.783
- type: ndcg_at_100
value: 16.857
- type: ndcg_at_1000
value: 21.995
- type: ndcg_at_3
value: 9.855
- type: ndcg_at_5
value: 8.763
- type: precision_at_1
value: 12
- type: precision_at_10
value: 5.75
- type: precision_at_100
value: 1.464
- type: precision_at_1000
value: 0.271
- type: precision_at_3
value: 9.267
- type: precision_at_5
value: 7.8
- type: recall_at_1
value: 2.435
- type: recall_at_10
value: 11.677
- type: recall_at_100
value: 29.727999999999998
- type: recall_at_1000
value: 55.01200000000001
- type: recall_at_3
value: 5.625
- type: recall_at_5
value: 7.927
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 75.88374517260094
- type: cos_sim_spearman
value: 66.8146599530933
- type: euclidean_pearson
value: 72.16677058950762
- type: euclidean_spearman
value: 66.81475088977015
- type: manhattan_pearson
value: 70.5972960748393
- type: manhattan_spearman
value: 66.06419798937156
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 75.2563114595583
- type: cos_sim_spearman
value: 69.24367278736064
- type: euclidean_pearson
value: 72.40292269474219
- type: euclidean_spearman
value: 69.24502332361118
- type: manhattan_pearson
value: 68.50078537054152
- type: manhattan_spearman
value: 66.50598323215404
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 74.10242500284477
- type: cos_sim_spearman
value: 75.84987612154318
- type: euclidean_pearson
value: 75.52353979614497
- type: euclidean_spearman
value: 75.84988832691806
- type: manhattan_pearson
value: 74.8413761626873
- type: manhattan_spearman
value: 75.04964152928419
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 72.1575774985217
- type: cos_sim_spearman
value: 70.90141314189984
- type: euclidean_pearson
value: 71.9156106526078
- type: euclidean_spearman
value: 70.90140345522423
- type: manhattan_pearson
value: 70.72340581042884
- type: manhattan_spearman
value: 69.85236236925924
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 77.83919307142013
- type: cos_sim_spearman
value: 79.47682153516034
- type: euclidean_pearson
value: 79.2973167726878
- type: euclidean_spearman
value: 79.47681228883974
- type: manhattan_pearson
value: 78.92171052296403
- type: manhattan_spearman
value: 78.99217076956664
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 63.90192110994575
- type: cos_sim_spearman
value: 68.13219488213686
- type: euclidean_pearson
value: 67.85714382223736
- type: euclidean_spearman
value: 68.13246724904525
- type: manhattan_pearson
value: 67.80188617868961
- type: manhattan_spearman
value: 67.86053448092125
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 78.36473244186939
- type: cos_sim_spearman
value: 80.08243286023296
- type: euclidean_pearson
value: 80.1819164297702
- type: euclidean_spearman
value: 80.08330928388227
- type: manhattan_pearson
value: 79.60834848379639
- type: manhattan_spearman
value: 79.69333890794226
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 42.32641436292012
- type: cos_sim_spearman
value: 54.83877303154732
- type: euclidean_pearson
value: 49.38508638773706
- type: euclidean_spearman
value: 54.83877303154732
- type: manhattan_pearson
value: 46.92414915855828
- type: manhattan_spearman
value: 52.95296714067058
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 69.58492214466642
- type: cos_sim_spearman
value: 68.91907567009618
- type: euclidean_pearson
value: 70.72812327953963
- type: euclidean_spearman
value: 68.91912423326409
- type: manhattan_pearson
value: 70.14796745095204
- type: manhattan_spearman
value: 68.65856703154975
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 71.52992055140923
- type: mrr
value: 90.19458210634681
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 35.056
- type: map_at_10
value: 42.204
- type: map_at_100
value: 43.478
- type: map_at_1000
value: 43.541999999999994
- type: map_at_3
value: 39.781
- type: map_at_5
value: 41.225
- type: mrr_at_1
value: 36.333
- type: mrr_at_10
value: 43.666
- type: mrr_at_100
value: 44.773
- type: mrr_at_1000
value: 44.824000000000005
- type: mrr_at_3
value: 41.5
- type: mrr_at_5
value: 42.766999999999996
- type: ndcg_at_1
value: 36.333
- type: ndcg_at_10
value: 46.202
- type: ndcg_at_100
value: 52.236000000000004
- type: ndcg_at_1000
value: 53.803999999999995
- type: ndcg_at_3
value: 41.661
- type: ndcg_at_5
value: 44.019000000000005
- type: precision_at_1
value: 36.333
- type: precision_at_10
value: 6.3
- type: precision_at_100
value: 0.9570000000000001
- type: precision_at_1000
value: 0.11
- type: precision_at_3
value: 16.111
- type: precision_at_5
value: 11.067
- type: recall_at_1
value: 35.056
- type: recall_at_10
value: 57.077999999999996
- type: recall_at_100
value: 84.88900000000001
- type: recall_at_1000
value: 96.933
- type: recall_at_3
value: 45.178000000000004
- type: recall_at_5
value: 50.733
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.54950495049505
- type: cos_sim_ap
value: 81.41161204735187
- type: cos_sim_f1
value: 74.35610302351624
- type: cos_sim_precision
value: 84.47837150127226
- type: cos_sim_recall
value: 66.4
- type: dot_accuracy
value: 99.54950495049505
- type: dot_ap
value: 81.41161204735187
- type: dot_f1
value: 74.35610302351624
- type: dot_precision
value: 84.47837150127226
- type: dot_recall
value: 66.4
- type: euclidean_accuracy
value: 99.54950495049505
- type: euclidean_ap
value: 81.41161204735187
- type: euclidean_f1
value: 74.35610302351624
- type: euclidean_precision
value: 84.47837150127226
- type: euclidean_recall
value: 66.4
- type: manhattan_accuracy
value: 99.51089108910891
- type: manhattan_ap
value: 78.54741188045705
- type: manhattan_f1
value: 71.88732394366198
- type: manhattan_precision
value: 82.3225806451613
- type: manhattan_recall
value: 63.800000000000004
- type: max_accuracy
value: 99.54950495049505
- type: max_ap
value: 81.41161204735187
- type: max_f1
value: 74.35610302351624
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 36.91417149931838
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 27.018095001166785
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.028503758530526
- type: mrr
value: 43.540539321789325
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.929163871560323
- type: cos_sim_spearman
value: 32.48633854394627
- type: dot_pearson
value: 30.92916389419323
- type: dot_spearman
value: 32.333874007816924
- 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: 0.91
- type: map_at_100
value: 4.061
- type: map_at_1000
value: 9.881
- type: map_at_3
value: 0.363
- type: map_at_5
value: 0.541
- type: mrr_at_1
value: 60
- type: mrr_at_10
value: 71.869
- type: mrr_at_100
value: 72.217
- type: mrr_at_1000
value: 72.217
- type: mrr_at_3
value: 69.333
- type: mrr_at_5
value: 71.333
- type: ndcg_at_1
value: 55.00000000000001
- type: ndcg_at_10
value: 49.476
- type: ndcg_at_100
value: 33.626
- type: ndcg_at_1000
value: 28.644
- type: ndcg_at_3
value: 54.173
- type: ndcg_at_5
value: 52.842999999999996
- type: precision_at_1
value: 60
- type: precision_at_10
value: 54.6
- type: precision_at_100
value: 34.52
- type: precision_at_1000
value: 13.786000000000001
- type: precision_at_3
value: 62
- type: precision_at_5
value: 58.8
- type: recall_at_1
value: 0.13
- type: recall_at_10
value: 1.196
- type: recall_at_100
value: 7.231999999999999
- type: recall_at_1000
value: 27.297
- type: recall_at_3
value: 0.407
- type: recall_at_5
value: 0.652
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.68
- type: map_at_10
value: 5.285
- type: map_at_100
value: 8.16
- type: map_at_1000
value: 9.572
- type: map_at_3
value: 3.27
- type: map_at_5
value: 3.823
- type: mrr_at_1
value: 22.448999999999998
- type: mrr_at_10
value: 33.477000000000004
- type: mrr_at_100
value: 35.096
- type: mrr_at_1000
value: 35.111
- type: mrr_at_3
value: 30.612000000000002
- type: mrr_at_5
value: 31.531
- type: ndcg_at_1
value: 22.448999999999998
- type: ndcg_at_10
value: 14.738000000000001
- type: ndcg_at_100
value: 23.663
- type: ndcg_at_1000
value: 36.577
- type: ndcg_at_3
value: 18.826999999999998
- type: ndcg_at_5
value: 15.842
- type: precision_at_1
value: 22.448999999999998
- type: precision_at_10
value: 13.061
- type: precision_at_100
value: 5.327
- type: precision_at_1000
value: 1.333
- type: precision_at_3
value: 19.728
- type: precision_at_5
value: 15.509999999999998
- type: recall_at_1
value: 1.68
- type: recall_at_10
value: 9.515
- type: recall_at_100
value: 32.824
- type: recall_at_1000
value: 72.975
- type: recall_at_3
value: 4.314
- type: recall_at_5
value: 5.4879999999999995
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 68.95299999999999
- type: ap
value: 12.037260089647054
- type: f1
value: 51.98429371477145
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 55.339558573853985
- type: f1
value: 55.58929521718743
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 31.17109985455679
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.59659057042379
- type: cos_sim_ap
value: 65.22209138338175
- type: cos_sim_f1
value: 61.509575666541494
- type: cos_sim_precision
value: 58.51393188854489
- type: cos_sim_recall
value: 64.82849604221636
- type: dot_accuracy
value: 83.59659057042379
- type: dot_ap
value: 65.22209138338175
- type: dot_f1
value: 61.509575666541494
- type: dot_precision
value: 58.51393188854489
- type: dot_recall
value: 64.82849604221636
- type: euclidean_accuracy
value: 83.59659057042379
- type: euclidean_ap
value: 65.22209138338175
- type: euclidean_f1
value: 61.509575666541494
- type: euclidean_precision
value: 58.51393188854489
- type: euclidean_recall
value: 64.82849604221636
- type: manhattan_accuracy
value: 83.93634141980093
- type: manhattan_ap
value: 66.46758652590019
- type: manhattan_f1
value: 62.471089470480834
- type: manhattan_precision
value: 57.98870056497175
- type: manhattan_recall
value: 67.70448548812665
- type: max_accuracy
value: 83.93634141980093
- type: max_ap
value: 66.46758652590019
- type: max_f1
value: 62.471089470480834
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 86.49435324251951
- type: cos_sim_ap
value: 80.34673925701317
- type: cos_sim_f1
value: 72.30198298159463
- type: cos_sim_precision
value: 70.45072686098327
- type: cos_sim_recall
value: 74.25315676008624
- type: dot_accuracy
value: 86.49435324251951
- type: dot_ap
value: 80.3467395332787
- type: dot_f1
value: 72.30198298159463
- type: dot_precision
value: 70.45072686098327
- type: dot_recall
value: 74.25315676008624
- type: euclidean_accuracy
value: 86.49435324251951
- type: euclidean_ap
value: 80.34673942500022
- type: euclidean_f1
value: 72.30198298159463
- type: euclidean_precision
value: 70.45072686098327
- type: euclidean_recall
value: 74.25315676008624
- type: manhattan_accuracy
value: 86.80288741413436
- type: manhattan_ap
value: 80.73771278278036
- type: manhattan_f1
value: 72.67159608633953
- type: manhattan_precision
value: 70.55837563451777
- type: manhattan_recall
value: 74.91530643671081
- type: max_accuracy
value: 86.80288741413436
- type: max_ap
value: 80.73771278278036
- type: max_f1
value: 72.67159608633953