metadata
tags:
- mteb
model-index:
- name: nomic_classification_nignore15
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 73.01492537313432
- type: ap
value: 35.50250124630455
- type: f1
value: 66.89959317702703
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 64.84830000000001
- type: ap
value: 59.73270245283254
- type: f1
value: 64.76353235413379
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 34.105999999999995
- type: f1
value: 33.54422658625557
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 21.622
- type: map_at_10
value: 35.826
- type: map_at_100
value: 37.053000000000004
- type: map_at_1000
value: 37.074
- type: map_at_3
value: 31.211
- type: map_at_5
value: 33.921
- type: mrr_at_1
value: 22.262
- type: mrr_at_10
value: 36.036
- type: mrr_at_100
value: 37.263000000000005
- type: mrr_at_1000
value: 37.284
- type: mrr_at_3
value: 31.484
- type: mrr_at_5
value: 34.144000000000005
- type: ndcg_at_1
value: 21.622
- type: ndcg_at_10
value: 43.922
- type: ndcg_at_100
value: 49.506
- type: ndcg_at_1000
value: 50.009
- type: ndcg_at_3
value: 34.372
- type: ndcg_at_5
value: 39.275
- type: precision_at_1
value: 21.622
- type: precision_at_10
value: 6.991
- type: precision_at_100
value: 0.9520000000000001
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 14.509
- type: precision_at_5
value: 11.094999999999999
- type: recall_at_1
value: 21.622
- type: recall_at_10
value: 69.915
- type: recall_at_100
value: 95.235
- type: recall_at_1000
value: 99.075
- type: recall_at_3
value: 43.528
- type: recall_at_5
value: 55.477
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 34.911008985215766
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 24.405265668502622
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 54.19334227044753
- type: mrr
value: 69.16600712307083
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 82.93657061818256
- type: cos_sim_spearman
value: 80.1584529707527
- type: euclidean_pearson
value: 81.85076602737361
- type: euclidean_spearman
value: 80.1584529707527
- type: manhattan_pearson
value: 81.32446368945303
- type: manhattan_spearman
value: 80.35183087097523
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 72.75974025974025
- type: f1
value: 72.01384314530861
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 32.205913552227386
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 23.518894282858902
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 23.200000000000003
- type: map_at_10
value: 30.767
- type: map_at_100
value: 31.909
- type: map_at_1000
value: 32.054
- type: map_at_3
value: 28.048000000000002
- type: map_at_5
value: 29.668
- type: mrr_at_1
value: 29.185
- type: mrr_at_10
value: 36.361
- type: mrr_at_100
value: 37.212
- type: mrr_at_1000
value: 37.275999999999996
- type: mrr_at_3
value: 34.168
- type: mrr_at_5
value: 35.463
- type: ndcg_at_1
value: 29.185
- type: ndcg_at_10
value: 35.735
- type: ndcg_at_100
value: 40.884
- type: ndcg_at_1000
value: 43.887
- type: ndcg_at_3
value: 31.839000000000002
- type: ndcg_at_5
value: 33.759
- type: precision_at_1
value: 29.185
- type: precision_at_10
value: 6.723999999999999
- type: precision_at_100
value: 1.163
- type: precision_at_1000
value: 0.173
- type: precision_at_3
value: 15.165000000000001
- type: precision_at_5
value: 11.101999999999999
- type: recall_at_1
value: 23.200000000000003
- type: recall_at_10
value: 44.68
- type: recall_at_100
value: 67.47999999999999
- type: recall_at_1000
value: 88.152
- type: recall_at_3
value: 33.055
- type: recall_at_5
value: 38.481
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 17.410999999999998
- type: map_at_10
value: 23.605999999999998
- type: map_at_100
value: 24.532
- type: map_at_1000
value: 24.645
- type: map_at_3
value: 21.628
- type: map_at_5
value: 22.849
- type: mrr_at_1
value: 22.038
- type: mrr_at_10
value: 27.947
- type: mrr_at_100
value: 28.701
- type: mrr_at_1000
value: 28.772
- type: mrr_at_3
value: 26.008
- type: mrr_at_5
value: 27.187
- type: ndcg_at_1
value: 22.038
- type: ndcg_at_10
value: 27.632
- type: ndcg_at_100
value: 31.852000000000004
- type: ndcg_at_1000
value: 34.587
- type: ndcg_at_3
value: 24.274
- type: ndcg_at_5
value: 26.005
- type: precision_at_1
value: 22.038
- type: precision_at_10
value: 5.108
- type: precision_at_100
value: 0.911
- type: precision_at_1000
value: 0.13899999999999998
- type: precision_at_3
value: 11.591999999999999
- type: precision_at_5
value: 8.42
- type: recall_at_1
value: 17.410999999999998
- type: recall_at_10
value: 35.346
- type: recall_at_100
value: 53.849000000000004
- type: recall_at_1000
value: 72.56700000000001
- type: recall_at_3
value: 25.647
- type: recall_at_5
value: 30.288999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 27.1
- type: map_at_10
value: 35.973
- type: map_at_100
value: 37.1
- type: map_at_1000
value: 37.191
- type: map_at_3
value: 33.409
- type: map_at_5
value: 34.867
- type: mrr_at_1
value: 31.473000000000003
- type: mrr_at_10
value: 39.35
- type: mrr_at_100
value: 40.258
- type: mrr_at_1000
value: 40.314
- type: mrr_at_3
value: 37.106
- type: mrr_at_5
value: 38.316
- type: ndcg_at_1
value: 31.473000000000003
- type: ndcg_at_10
value: 40.831
- type: ndcg_at_100
value: 46.094
- type: ndcg_at_1000
value: 48.147
- type: ndcg_at_3
value: 36.187000000000005
- type: ndcg_at_5
value: 38.389
- type: precision_at_1
value: 31.473000000000003
- type: precision_at_10
value: 6.627
- type: precision_at_100
value: 1.013
- type: precision_at_1000
value: 0.127
- type: precision_at_3
value: 16.092000000000002
- type: precision_at_5
value: 11.197
- type: recall_at_1
value: 27.1
- type: recall_at_10
value: 52.208
- type: recall_at_100
value: 75.913
- type: recall_at_1000
value: 90.623
- type: recall_at_3
value: 39.696999999999996
- type: recall_at_5
value: 45.068999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 13.164000000000001
- type: map_at_10
value: 17.209
- type: map_at_100
value: 18.078
- type: map_at_1000
value: 18.196
- type: map_at_3
value: 15.723999999999998
- type: map_at_5
value: 16.53
- type: mrr_at_1
value: 14.35
- type: mrr_at_10
value: 18.549
- type: mrr_at_100
value: 19.378999999999998
- type: mrr_at_1000
value: 19.485
- type: mrr_at_3
value: 17.024
- type: mrr_at_5
value: 17.832
- type: ndcg_at_1
value: 14.35
- type: ndcg_at_10
value: 19.949
- type: ndcg_at_100
value: 24.59
- type: ndcg_at_1000
value: 28.102
- type: ndcg_at_3
value: 16.894000000000002
- type: ndcg_at_5
value: 18.322
- type: precision_at_1
value: 14.35
- type: precision_at_10
value: 3.0620000000000003
- type: precision_at_100
value: 0.573
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 7.005999999999999
- type: precision_at_5
value: 5.017
- type: recall_at_1
value: 13.164000000000001
- type: recall_at_10
value: 27.282
- type: recall_at_100
value: 49.352000000000004
- type: recall_at_1000
value: 76.7
- type: recall_at_3
value: 18.93
- type: recall_at_5
value: 22.395
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 7.343
- type: map_at_10
value: 10.732999999999999
- type: map_at_100
value: 11.524
- type: map_at_1000
value: 11.658
- type: map_at_3
value: 9.501999999999999
- type: map_at_5
value: 10.118
- type: mrr_at_1
value: 9.577
- type: mrr_at_10
value: 13.293
- type: mrr_at_100
value: 14.126
- type: mrr_at_1000
value: 14.234
- type: mrr_at_3
value: 11.816
- type: mrr_at_5
value: 12.519
- type: ndcg_at_1
value: 9.577
- type: ndcg_at_10
value: 13.303999999999998
- type: ndcg_at_100
value: 17.596999999999998
- type: ndcg_at_1000
value: 21.406
- type: ndcg_at_3
value: 10.788
- type: ndcg_at_5
value: 11.815000000000001
- type: precision_at_1
value: 9.577
- type: precision_at_10
value: 2.512
- type: precision_at_100
value: 0.545
- type: precision_at_1000
value: 0.10200000000000001
- type: precision_at_3
value: 5.1
- type: precision_at_5
value: 3.781
- type: recall_at_1
value: 7.343
- type: recall_at_10
value: 18.912000000000003
- type: recall_at_100
value: 38.389
- type: recall_at_1000
value: 66.424
- type: recall_at_3
value: 11.851
- type: recall_at_5
value: 14.424000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.055
- type: map_at_10
value: 24.271
- type: map_at_100
value: 25.418000000000003
- type: map_at_1000
value: 25.554
- type: map_at_3
value: 22.067
- type: map_at_5
value: 23.274
- type: mrr_at_1
value: 22.137
- type: mrr_at_10
value: 28.671000000000003
- type: mrr_at_100
value: 29.604000000000003
- type: mrr_at_1000
value: 29.68
- type: mrr_at_3
value: 26.372
- type: mrr_at_5
value: 27.766999999999996
- type: ndcg_at_1
value: 22.137
- type: ndcg_at_10
value: 28.687
- type: ndcg_at_100
value: 34.309
- type: ndcg_at_1000
value: 37.316
- type: ndcg_at_3
value: 24.761
- type: ndcg_at_5
value: 26.598
- type: precision_at_1
value: 22.137
- type: precision_at_10
value: 5.3420000000000005
- type: precision_at_100
value: 0.9740000000000001
- type: precision_at_1000
value: 0.14200000000000002
- type: precision_at_3
value: 11.677999999999999
- type: precision_at_5
value: 8.527
- type: recall_at_1
value: 18.055
- type: recall_at_10
value: 37.701
- type: recall_at_100
value: 62.661
- type: recall_at_1000
value: 83.37299999999999
- type: recall_at_3
value: 26.491999999999997
- type: recall_at_5
value: 31.366
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 13.889999999999999
- type: map_at_10
value: 19.337
- type: map_at_100
value: 20.389
- type: map_at_1000
value: 20.53
- type: map_at_3
value: 17.404
- type: map_at_5
value: 18.356
- type: mrr_at_1
value: 17.122999999999998
- type: mrr_at_10
value: 22.951
- type: mrr_at_100
value: 23.919999999999998
- type: mrr_at_1000
value: 24.01
- type: mrr_at_3
value: 21.081
- type: mrr_at_5
value: 22.102
- type: ndcg_at_1
value: 17.122999999999998
- type: ndcg_at_10
value: 23.16
- type: ndcg_at_100
value: 28.337
- type: ndcg_at_1000
value: 31.808999999999997
- type: ndcg_at_3
value: 19.649
- type: ndcg_at_5
value: 21.047
- type: precision_at_1
value: 17.122999999999998
- type: precision_at_10
value: 4.406000000000001
- type: precision_at_100
value: 0.831
- type: precision_at_1000
value: 0.13
- type: precision_at_3
value: 9.361
- type: precision_at_5
value: 6.804
- type: recall_at_1
value: 13.889999999999999
- type: recall_at_10
value: 31.162
- type: recall_at_100
value: 53.862
- type: recall_at_1000
value: 78.668
- type: recall_at_3
value: 21.276999999999997
- type: recall_at_5
value: 24.945999999999998
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 14.876916666666668
- type: map_at_10
value: 20.335916666666666
- type: map_at_100
value: 21.264833333333335
- type: map_at_1000
value: 21.392083333333332
- type: map_at_3
value: 18.571416666666668
- type: map_at_5
value: 19.552416666666666
- type: mrr_at_1
value: 17.9935
- type: mrr_at_10
value: 23.497000000000003
- type: mrr_at_100
value: 24.318666666666665
- type: mrr_at_1000
value: 24.404583333333328
- type: mrr_at_3
value: 21.74641666666667
- type: mrr_at_5
value: 22.727416666666667
- type: ndcg_at_1
value: 17.9935
- type: ndcg_at_10
value: 23.92941666666667
- type: ndcg_at_100
value: 28.531999999999996
- type: ndcg_at_1000
value: 31.72616666666667
- type: ndcg_at_3
value: 20.738083333333332
- type: ndcg_at_5
value: 22.215416666666666
- type: precision_at_1
value: 17.9935
- type: precision_at_10
value: 4.256916666666667
- type: precision_at_100
value: 0.7820833333333335
- type: precision_at_1000
value: 0.12375000000000003
- type: precision_at_3
value: 9.594916666666666
- type: precision_at_5
value: 6.911333333333333
- type: recall_at_1
value: 14.876916666666668
- type: recall_at_10
value: 31.664250000000006
- type: recall_at_100
value: 52.60891666666667
- type: recall_at_1000
value: 75.82383333333334
- type: recall_at_3
value: 22.649833333333333
- type: recall_at_5
value: 26.4515
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 10.74
- type: map_at_10
value: 15.364
- type: map_at_100
value: 16.066
- type: map_at_1000
value: 16.147
- type: map_at_3
value: 13.871
- type: map_at_5
value: 14.724
- type: mrr_at_1
value: 12.883
- type: mrr_at_10
value: 17.657
- type: mrr_at_100
value: 18.299000000000003
- type: mrr_at_1000
value: 18.369
- type: mrr_at_3
value: 16.104
- type: mrr_at_5
value: 16.986
- type: ndcg_at_1
value: 12.883
- type: ndcg_at_10
value: 18.429000000000002
- type: ndcg_at_100
value: 22.144
- type: ndcg_at_1000
value: 24.647
- type: ndcg_at_3
value: 15.542
- type: ndcg_at_5
value: 16.929
- type: precision_at_1
value: 12.883
- type: precision_at_10
value: 3.19
- type: precision_at_100
value: 0.5579999999999999
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 7.156999999999999
- type: precision_at_5
value: 5.215
- type: recall_at_1
value: 10.74
- type: recall_at_10
value: 25.762
- type: recall_at_100
value: 43.132999999999996
- type: recall_at_1000
value: 62.26199999999999
- type: recall_at_3
value: 17.629
- type: recall_at_5
value: 21.125
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.707
- type: map_at_10
value: 11.26
- type: map_at_100
value: 11.918
- type: map_at_1000
value: 12.043
- type: map_at_3
value: 10.169
- type: map_at_5
value: 10.817
- type: mrr_at_1
value: 9.429
- type: mrr_at_10
value: 13.5
- type: mrr_at_100
value: 14.177999999999999
- type: mrr_at_1000
value: 14.280000000000001
- type: mrr_at_3
value: 12.273
- type: mrr_at_5
value: 13.048000000000002
- type: ndcg_at_1
value: 9.429
- type: ndcg_at_10
value: 13.697999999999999
- type: ndcg_at_100
value: 17.427
- type: ndcg_at_1000
value: 21.013
- type: ndcg_at_3
value: 11.639
- type: ndcg_at_5
value: 12.705
- type: precision_at_1
value: 9.429
- type: precision_at_10
value: 2.546
- type: precision_at_100
value: 0.534
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 5.666
- type: precision_at_5
value: 4.212
- type: recall_at_1
value: 7.707
- type: recall_at_10
value: 18.901
- type: recall_at_100
value: 36.38
- type: recall_at_1000
value: 63.017999999999994
- type: recall_at_3
value: 13.123999999999999
- type: recall_at_5
value: 15.834000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 13.034
- type: map_at_10
value: 17.943
- type: map_at_100
value: 18.787000000000003
- type: map_at_1000
value: 18.907
- type: map_at_3
value: 16.508
- type: map_at_5
value: 17.267
- type: mrr_at_1
value: 15.485
- type: mrr_at_10
value: 20.801
- type: mrr_at_100
value: 21.632
- type: mrr_at_1000
value: 21.731
- type: mrr_at_3
value: 19.279
- type: mrr_at_5
value: 20.09
- type: ndcg_at_1
value: 15.485
- type: ndcg_at_10
value: 21.301000000000002
- type: ndcg_at_100
value: 25.606
- type: ndcg_at_1000
value: 29.109
- type: ndcg_at_3
value: 18.451999999999998
- type: ndcg_at_5
value: 19.685
- type: precision_at_1
value: 15.485
- type: precision_at_10
value: 3.6470000000000002
- type: precision_at_100
value: 0.639
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 8.551
- type: precision_at_5
value: 5.989
- type: recall_at_1
value: 13.034
- type: recall_at_10
value: 28.909000000000002
- type: recall_at_100
value: 48.28
- type: recall_at_1000
value: 74.375
- type: recall_at_3
value: 20.871000000000002
- type: recall_at_5
value: 24.066000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 14.667
- type: map_at_10
value: 21.229
- type: map_at_100
value: 22.303
- type: map_at_1000
value: 22.512
- type: map_at_3
value: 19.527
- type: map_at_5
value: 20.415
- type: mrr_at_1
value: 18.379
- type: mrr_at_10
value: 24.829
- type: mrr_at_100
value: 25.623
- type: mrr_at_1000
value: 25.712000000000003
- type: mrr_at_3
value: 23.09
- type: mrr_at_5
value: 23.979
- type: ndcg_at_1
value: 18.379
- type: ndcg_at_10
value: 25.462
- type: ndcg_at_100
value: 30.255
- type: ndcg_at_1000
value: 34.019
- type: ndcg_at_3
value: 22.567999999999998
- type: ndcg_at_5
value: 23.79
- type: precision_at_1
value: 18.379
- type: precision_at_10
value: 4.9799999999999995
- type: precision_at_100
value: 1.099
- type: precision_at_1000
value: 0.198
- type: precision_at_3
value: 10.870000000000001
- type: precision_at_5
value: 7.866
- type: recall_at_1
value: 14.667
- type: recall_at_10
value: 33.550000000000004
- type: recall_at_100
value: 56.123999999999995
- type: recall_at_1000
value: 81.883
- type: recall_at_3
value: 24.944
- type: recall_at_5
value: 28.055000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 12.212
- type: map_at_10
value: 16.339000000000002
- type: map_at_100
value: 17.154
- type: map_at_1000
value: 17.268
- type: map_at_3
value: 15
- type: map_at_5
value: 15.744
- type: mrr_at_1
value: 13.863
- type: mrr_at_10
value: 18.055
- type: mrr_at_100
value: 18.892
- type: mrr_at_1000
value: 18.992
- type: mrr_at_3
value: 16.636
- type: mrr_at_5
value: 17.44
- type: ndcg_at_1
value: 13.863
- type: ndcg_at_10
value: 18.965
- type: ndcg_at_100
value: 23.289
- type: ndcg_at_1000
value: 26.672
- type: ndcg_at_3
value: 16.264
- type: ndcg_at_5
value: 17.541
- type: precision_at_1
value: 13.863
- type: precision_at_10
value: 2.939
- type: precision_at_100
value: 0.545
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 6.901
- type: precision_at_5
value: 4.806
- type: recall_at_1
value: 12.212
- type: recall_at_10
value: 25.557999999999996
- type: recall_at_100
value: 45.884
- type: recall_at_1000
value: 71.841
- type: recall_at_3
value: 18.281
- type: recall_at_5
value: 21.368000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.991
- type: map_at_10
value: 11.031
- type: map_at_100
value: 12.415
- type: map_at_1000
value: 12.601999999999999
- type: map_at_3
value: 8.752
- type: map_at_5
value: 9.873999999999999
- type: mrr_at_1
value: 13.355
- type: mrr_at_10
value: 22.002
- type: mrr_at_100
value: 23.146
- type: mrr_at_1000
value: 23.218
- type: mrr_at_3
value: 18.719
- type: mrr_at_5
value: 20.543
- type: ndcg_at_1
value: 13.355
- type: ndcg_at_10
value: 16.711000000000002
- type: ndcg_at_100
value: 23.073
- type: ndcg_at_1000
value: 27.108999999999998
- type: ndcg_at_3
value: 12.289
- type: ndcg_at_5
value: 13.943
- type: precision_at_1
value: 13.355
- type: precision_at_10
value: 5.648000000000001
- type: precision_at_100
value: 1.248
- type: precision_at_1000
value: 0.198
- type: precision_at_3
value: 9.359
- type: precision_at_5
value: 7.739
- type: recall_at_1
value: 5.991
- type: recall_at_10
value: 21.898
- type: recall_at_100
value: 44.324000000000005
- type: recall_at_1000
value: 67.777
- type: recall_at_3
value: 11.527
- type: recall_at_5
value: 15.61
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 4.125
- type: map_at_10
value: 9.629999999999999
- type: map_at_100
value: 13.306000000000001
- type: map_at_1000
value: 14.26
- type: map_at_3
value: 6.894
- type: map_at_5
value: 8.19
- type: mrr_at_1
value: 39.25
- type: mrr_at_10
value: 49.495
- type: mrr_at_100
value: 50.139
- type: mrr_at_1000
value: 50.169
- type: mrr_at_3
value: 46.333
- type: mrr_at_5
value: 48.008
- type: ndcg_at_1
value: 28.499999999999996
- type: ndcg_at_10
value: 23.794
- type: ndcg_at_100
value: 26.632
- type: ndcg_at_1000
value: 33.382
- type: ndcg_at_3
value: 26.282
- type: ndcg_at_5
value: 25.113000000000003
- type: precision_at_1
value: 39.25
- type: precision_at_10
value: 21.075
- type: precision_at_100
value: 6.607
- type: precision_at_1000
value: 1.366
- type: precision_at_3
value: 31.667
- type: precision_at_5
value: 27.150000000000002
- type: recall_at_1
value: 4.125
- type: recall_at_10
value: 14.603
- type: recall_at_100
value: 32.888
- type: recall_at_1000
value: 55.901
- type: recall_at_3
value: 8.396
- type: recall_at_5
value: 10.902000000000001
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 44.39999999999999
- type: f1
value: 41.19798638036962
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 15.998999999999999
- type: map_at_10
value: 24.037
- type: map_at_100
value: 24.979000000000003
- type: map_at_1000
value: 25.052000000000003
- type: map_at_3
value: 21.537
- type: map_at_5
value: 22.926
- type: mrr_at_1
value: 17.072000000000003
- type: mrr_at_10
value: 25.526
- type: mrr_at_100
value: 26.464
- type: mrr_at_1000
value: 26.528000000000002
- type: mrr_at_3
value: 22.922
- type: mrr_at_5
value: 24.391
- type: ndcg_at_1
value: 17.072000000000003
- type: ndcg_at_10
value: 28.933999999999997
- type: ndcg_at_100
value: 33.812999999999995
- type: ndcg_at_1000
value: 35.874
- type: ndcg_at_3
value: 23.746000000000002
- type: ndcg_at_5
value: 26.264
- type: precision_at_1
value: 17.072000000000003
- type: precision_at_10
value: 4.6739999999999995
- type: precision_at_100
value: 0.732
- type: precision_at_1000
value: 0.093
- type: precision_at_3
value: 10.326
- type: precision_at_5
value: 7.531000000000001
- type: recall_at_1
value: 15.998999999999999
- type: recall_at_10
value: 42.888999999999996
- type: recall_at_100
value: 65.864
- type: recall_at_1000
value: 81.872
- type: recall_at_3
value: 28.735
- type: recall_at_5
value: 34.817
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 7.0889999999999995
- type: map_at_10
value: 11.533
- type: map_at_100
value: 12.626999999999999
- type: map_at_1000
value: 12.831000000000001
- type: map_at_3
value: 9.524000000000001
- type: map_at_5
value: 10.484
- type: mrr_at_1
value: 13.889000000000001
- type: mrr_at_10
value: 20.035
- type: mrr_at_100
value: 21.041999999999998
- type: mrr_at_1000
value: 21.142
- type: mrr_at_3
value: 17.695
- type: mrr_at_5
value: 18.83
- type: ndcg_at_1
value: 13.889000000000001
- type: ndcg_at_10
value: 16.122
- type: ndcg_at_100
value: 21.485000000000003
- type: ndcg_at_1000
value: 26.101999999999997
- type: ndcg_at_3
value: 12.967999999999998
- type: ndcg_at_5
value: 13.975000000000001
- type: precision_at_1
value: 13.889000000000001
- type: precision_at_10
value: 4.769
- type: precision_at_100
value: 1.012
- type: precision_at_1000
value: 0.179
- type: precision_at_3
value: 8.693
- type: precision_at_5
value: 6.79
- type: recall_at_1
value: 7.0889999999999995
- type: recall_at_10
value: 21.163999999999998
- type: recall_at_100
value: 42.247
- type: recall_at_1000
value: 71.395
- type: recall_at_3
value: 11.694
- type: recall_at_5
value: 15.051
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 17.752000000000002
- type: map_at_10
value: 25.064999999999998
- type: map_at_100
value: 26.003999999999998
- type: map_at_1000
value: 26.116
- type: map_at_3
value: 23.064
- type: map_at_5
value: 24.149
- type: mrr_at_1
value: 35.503
- type: mrr_at_10
value: 42.649
- type: mrr_at_100
value: 43.389
- type: mrr_at_1000
value: 43.445
- type: mrr_at_3
value: 40.699999999999996
- type: mrr_at_5
value: 41.817
- type: ndcg_at_1
value: 35.503
- type: ndcg_at_10
value: 31.968000000000004
- type: ndcg_at_100
value: 36.257
- type: ndcg_at_1000
value: 38.928000000000004
- type: ndcg_at_3
value: 28.176000000000002
- type: ndcg_at_5
value: 29.994
- type: precision_at_1
value: 35.503
- type: precision_at_10
value: 7.0440000000000005
- type: precision_at_100
value: 1.046
- type: precision_at_1000
value: 0.13999999999999999
- type: precision_at_3
value: 17.763
- type: precision_at_5
value: 12.1
- type: recall_at_1
value: 17.752000000000002
- type: recall_at_10
value: 35.219
- type: recall_at_100
value: 52.309000000000005
- type: recall_at_1000
value: 70.162
- type: recall_at_3
value: 26.644000000000002
- type: recall_at_5
value: 30.25
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 63.9016
- type: ap
value: 59.11956601013746
- type: f1
value: 63.68974251662037
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.561999999999999
- type: map_at_10
value: 11.378
- type: map_at_100
value: 12.258
- type: map_at_1000
value: 12.361
- type: map_at_3
value: 9.577
- type: map_at_5
value: 10.525
- type: mrr_at_1
value: 6.762
- type: mrr_at_10
value: 11.674
- type: mrr_at_100
value: 12.554000000000002
- type: mrr_at_1000
value: 12.654000000000002
- type: mrr_at_3
value: 9.833
- type: mrr_at_5
value: 10.806000000000001
- type: ndcg_at_1
value: 6.734
- type: ndcg_at_10
value: 14.459
- type: ndcg_at_100
value: 19.317999999999998
- type: ndcg_at_1000
value: 22.407
- type: ndcg_at_3
value: 10.666
- type: ndcg_at_5
value: 12.393
- type: precision_at_1
value: 6.734
- type: precision_at_10
value: 2.5069999999999997
- type: precision_at_100
value: 0.505
- type: precision_at_1000
value: 0.077
- type: precision_at_3
value: 4.6850000000000005
- type: precision_at_5
value: 3.682
- type: recall_at_1
value: 6.561999999999999
- type: recall_at_10
value: 24.07
- type: recall_at_100
value: 47.856
- type: recall_at_1000
value: 72.654
- type: recall_at_3
value: 13.584
- type: recall_at_5
value: 17.76
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 88.86000911992703
- type: f1
value: 87.98975696911226
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 58.38349293205655
- type: f1
value: 40.01779036138312
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.852723604572965
- type: f1
value: 60.13917532573332
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 68.14727639542704
- type: f1
value: 66.7653952309667
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 29.504423289782554
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 25.331311574764182
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.79405962065405
- type: mrr
value: 30.80981570313803
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.8309999999999995
- type: map_at_10
value: 8.15
- type: map_at_100
value: 10.295
- type: map_at_1000
value: 11.649
- type: map_at_3
value: 6.088
- type: map_at_5
value: 7.138
- type: mrr_at_1
value: 33.745999999999995
- type: mrr_at_10
value: 43.422
- type: mrr_at_100
value: 44.193
- type: mrr_at_1000
value: 44.261
- type: mrr_at_3
value: 40.506
- type: mrr_at_5
value: 42.812
- type: ndcg_at_1
value: 31.579
- type: ndcg_at_10
value: 25.357000000000003
- type: ndcg_at_100
value: 23.597
- type: ndcg_at_1000
value: 33.143
- type: ndcg_at_3
value: 28.778
- type: ndcg_at_5
value: 27.92
- type: precision_at_1
value: 33.745999999999995
- type: precision_at_10
value: 18.854000000000003
- type: precision_at_100
value: 6.464
- type: precision_at_1000
value: 1.9900000000000002
- type: precision_at_3
value: 27.450999999999997
- type: precision_at_5
value: 24.52
- type: recall_at_1
value: 3.8309999999999995
- type: recall_at_10
value: 12.18
- type: recall_at_100
value: 25.258999999999997
- type: recall_at_1000
value: 59.059
- type: recall_at_3
value: 7.353
- type: recall_at_5
value: 9.777
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 9.132
- type: map_at_10
value: 15.934999999999999
- type: map_at_100
value: 17.168
- type: map_at_1000
value: 17.266000000000002
- type: map_at_3
value: 13.296
- type: map_at_5
value: 14.713000000000001
- type: mrr_at_1
value: 10.342
- type: mrr_at_10
value: 17.535
- type: mrr_at_100
value: 18.689
- type: mrr_at_1000
value: 18.77
- type: mrr_at_3
value: 14.846
- type: mrr_at_5
value: 16.337
- type: ndcg_at_1
value: 10.342
- type: ndcg_at_10
value: 20.409
- type: ndcg_at_100
value: 26.672
- type: ndcg_at_1000
value: 29.321
- type: ndcg_at_3
value: 14.982000000000001
- type: ndcg_at_5
value: 17.522
- type: precision_at_1
value: 10.342
- type: precision_at_10
value: 3.8440000000000003
- type: precision_at_100
value: 0.741
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 7.0489999999999995
- type: precision_at_5
value: 5.632000000000001
- type: recall_at_1
value: 9.132
- type: recall_at_10
value: 32.800000000000004
- type: recall_at_100
value: 61.895999999999994
- type: recall_at_1000
value: 82.146
- type: recall_at_3
value: 18.342
- type: recall_at_5
value: 24.242
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 64.005
- type: map_at_10
value: 76.709
- type: map_at_100
value: 77.464
- type: map_at_1000
value: 77.498
- type: map_at_3
value: 73.75699999999999
- type: map_at_5
value: 75.553
- type: mrr_at_1
value: 73.81
- type: mrr_at_10
value: 81.006
- type: mrr_at_100
value: 81.23599999999999
- type: mrr_at_1000
value: 81.241
- type: mrr_at_3
value: 79.56800000000001
- type: mrr_at_5
value: 80.50399999999999
- type: ndcg_at_1
value: 73.85000000000001
- type: ndcg_at_10
value: 81.33399999999999
- type: ndcg_at_100
value: 83.378
- type: ndcg_at_1000
value: 83.726
- type: ndcg_at_3
value: 77.791
- type: ndcg_at_5
value: 79.636
- type: precision_at_1
value: 73.85000000000001
- type: precision_at_10
value: 12.262
- type: precision_at_100
value: 1.461
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 33.672999999999995
- type: precision_at_5
value: 22.253999999999998
- type: recall_at_1
value: 64.005
- type: recall_at_10
value: 90.137
- type: recall_at_100
value: 97.77799999999999
- type: recall_at_1000
value: 99.667
- type: recall_at_3
value: 79.972
- type: recall_at_5
value: 85.10799999999999
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 39.423003368001304
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 47.05364643191673
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.008
- type: map_at_10
value: 7.086
- type: map_at_100
value: 8.498
- type: map_at_1000
value: 8.744
- type: map_at_3
value: 5.2330000000000005
- type: map_at_5
value: 6.188
- type: mrr_at_1
value: 14.799999999999999
- type: mrr_at_10
value: 22.731
- type: mrr_at_100
value: 23.963
- type: mrr_at_1000
value: 24.046
- type: mrr_at_3
value: 19.950000000000003
- type: mrr_at_5
value: 21.38
- type: ndcg_at_1
value: 14.799999999999999
- type: ndcg_at_10
value: 12.581999999999999
- type: ndcg_at_100
value: 19.024
- type: ndcg_at_1000
value: 24.075
- type: ndcg_at_3
value: 11.937000000000001
- type: ndcg_at_5
value: 10.427
- type: precision_at_1
value: 14.799999999999999
- type: precision_at_10
value: 6.5
- type: precision_at_100
value: 1.591
- type: precision_at_1000
value: 0.281
- type: precision_at_3
value: 11.1
- type: precision_at_5
value: 9.120000000000001
- type: recall_at_1
value: 3.008
- type: recall_at_10
value: 13.197000000000001
- type: recall_at_100
value: 32.323
- type: recall_at_1000
value: 57.172999999999995
- type: recall_at_3
value: 6.753000000000001
- type: recall_at_5
value: 9.248000000000001
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 75.82474380833001
- type: cos_sim_spearman
value: 66.06084939474535
- type: euclidean_pearson
value: 71.1524270169037
- type: euclidean_spearman
value: 66.06095698159474
- type: manhattan_pearson
value: 68.79401530108056
- type: manhattan_spearman
value: 64.55149376982865
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 74.40557358335994
- type: cos_sim_spearman
value: 67.61862451971042
- type: euclidean_pearson
value: 70.41404072782692
- type: euclidean_spearman
value: 67.6198686410611
- type: manhattan_pearson
value: 68.97879579551457
- type: manhattan_spearman
value: 67.2295683767691
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 78.0503994579303
- type: cos_sim_spearman
value: 79.15391592614903
- type: euclidean_pearson
value: 78.84085468610613
- type: euclidean_spearman
value: 79.15395372943995
- type: manhattan_pearson
value: 78.64185478146945
- type: manhattan_spearman
value: 79.14714263528944
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 78.3615928485999
- type: cos_sim_spearman
value: 74.97382110132605
- type: euclidean_pearson
value: 77.23854527060215
- type: euclidean_spearman
value: 74.97381140978526
- type: manhattan_pearson
value: 76.07931709400336
- type: manhattan_spearman
value: 74.24120638811475
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 81.20257664300357
- type: cos_sim_spearman
value: 82.00047913551732
- type: euclidean_pearson
value: 81.9647778954467
- type: euclidean_spearman
value: 82.0004776230638
- type: manhattan_pearson
value: 81.71577106207948
- type: manhattan_spearman
value: 81.99682550355493
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 76.25724348036597
- type: cos_sim_spearman
value: 77.44730180182509
- type: euclidean_pearson
value: 77.07257885830403
- type: euclidean_spearman
value: 77.44757329765216
- type: manhattan_pearson
value: 77.56516524638705
- type: manhattan_spearman
value: 77.96306993156203
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 84.12218819562516
- type: cos_sim_spearman
value: 85.1670421446071
- type: euclidean_pearson
value: 84.780712654921
- type: euclidean_spearman
value: 85.16791563947264
- type: manhattan_pearson
value: 84.55044493571614
- type: manhattan_spearman
value: 85.27489322017652
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 63.36228072576271
- type: cos_sim_spearman
value: 60.8804162279283
- type: euclidean_pearson
value: 63.45076147869696
- type: euclidean_spearman
value: 60.8804162279283
- type: manhattan_pearson
value: 62.75925080903245
- type: manhattan_spearman
value: 60.42286149492114
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 78.42867098481462
- type: cos_sim_spearman
value: 77.27498110374914
- type: euclidean_pearson
value: 78.31189930366395
- type: euclidean_spearman
value: 77.27499957014132
- type: manhattan_pearson
value: 77.5492342797482
- type: manhattan_spearman
value: 76.70759132287284
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 72.88088283802969
- type: mrr
value: 91.2407327603406
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 34.75
- type: map_at_10
value: 43.795
- type: map_at_100
value: 44.897999999999996
- type: map_at_1000
value: 44.964999999999996
- type: map_at_3
value: 41.235
- type: map_at_5
value: 42.785000000000004
- type: mrr_at_1
value: 37
- type: mrr_at_10
value: 45.608
- type: mrr_at_100
value: 46.556999999999995
- type: mrr_at_1000
value: 46.62
- type: mrr_at_3
value: 43.333
- type: mrr_at_5
value: 44.733000000000004
- type: ndcg_at_1
value: 37
- type: ndcg_at_10
value: 48.620000000000005
- type: ndcg_at_100
value: 53.772
- type: ndcg_at_1000
value: 55.403999999999996
- type: ndcg_at_3
value: 43.741
- type: ndcg_at_5
value: 46.358
- type: precision_at_1
value: 37
- type: precision_at_10
value: 6.800000000000001
- type: precision_at_100
value: 0.967
- type: precision_at_1000
value: 0.11
- type: precision_at_3
value: 17.666999999999998
- type: precision_at_5
value: 12
- type: recall_at_1
value: 34.75
- type: recall_at_10
value: 61.87200000000001
- type: recall_at_100
value: 85.317
- type: recall_at_1000
value: 97.8
- type: recall_at_3
value: 48.567
- type: recall_at_5
value: 55.233
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.71485148514851
- type: cos_sim_ap
value: 91.89197853928673
- type: cos_sim_f1
value: 85.48387096774194
- type: cos_sim_precision
value: 86.1788617886179
- type: cos_sim_recall
value: 84.8
- type: dot_accuracy
value: 99.71485148514851
- type: dot_ap
value: 91.89197853928673
- type: dot_f1
value: 85.48387096774194
- type: dot_precision
value: 86.1788617886179
- type: dot_recall
value: 84.8
- type: euclidean_accuracy
value: 99.71485148514851
- type: euclidean_ap
value: 91.89197853928673
- type: euclidean_f1
value: 85.48387096774194
- type: euclidean_precision
value: 86.1788617886179
- type: euclidean_recall
value: 84.8
- type: manhattan_accuracy
value: 99.76633663366337
- type: manhattan_ap
value: 93.70793412033116
- type: manhattan_f1
value: 87.77050830397583
- type: manhattan_precision
value: 88.34853090172238
- type: manhattan_recall
value: 87.2
- type: max_accuracy
value: 99.76633663366337
- type: max_ap
value: 93.70793412033116
- type: max_f1
value: 87.77050830397583
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 42.040101504017464
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.736735784987
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.30708664346592
- type: mrr
value: 43.91143578643579
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.57246866942087
- type: cos_sim_spearman
value: 30.69719029010722
- type: dot_pearson
value: 30.572468627823802
- type: dot_spearman
value: 30.675070232612644
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.129
- type: map_at_10
value: 0.717
- type: map_at_100
value: 3.6580000000000004
- type: map_at_1000
value: 9.374
- type: map_at_3
value: 0.302
- type: map_at_5
value: 0.422
- type: mrr_at_1
value: 56.00000000000001
- type: mrr_at_10
value: 67.475
- type: mrr_at_100
value: 68.018
- type: mrr_at_1000
value: 68.035
- type: mrr_at_3
value: 65.667
- type: mrr_at_5
value: 66.567
- type: ndcg_at_1
value: 50
- type: ndcg_at_10
value: 40.910999999999994
- type: ndcg_at_100
value: 30.386999999999997
- type: ndcg_at_1000
value: 27.009
- type: ndcg_at_3
value: 46.776
- type: ndcg_at_5
value: 42.504
- type: precision_at_1
value: 56.00000000000001
- type: precision_at_10
value: 43.6
- type: precision_at_100
value: 31.64
- type: precision_at_1000
value: 13.214
- type: precision_at_3
value: 50
- type: precision_at_5
value: 44.800000000000004
- type: recall_at_1
value: 0.129
- type: recall_at_10
value: 0.95
- type: recall_at_100
value: 6.526999999999999
- type: recall_at_1000
value: 25.894000000000002
- type: recall_at_3
value: 0.34299999999999997
- type: recall_at_5
value: 0.49899999999999994
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.8429999999999997
- type: map_at_10
value: 8.476
- type: map_at_100
value: 14.779
- type: map_at_1000
value: 16.381
- type: map_at_3
value: 4.361000000000001
- type: map_at_5
value: 6.064
- type: mrr_at_1
value: 28.571
- type: mrr_at_10
value: 44.039
- type: mrr_at_100
value: 45.024
- type: mrr_at_1000
value: 45.024
- type: mrr_at_3
value: 41.156
- type: mrr_at_5
value: 42.075
- type: ndcg_at_1
value: 27.551
- type: ndcg_at_10
value: 22.672
- type: ndcg_at_100
value: 35.961999999999996
- type: ndcg_at_1000
value: 47.365
- type: ndcg_at_3
value: 26.016000000000002
- type: ndcg_at_5
value: 23.794999999999998
- type: precision_at_1
value: 28.571
- type: precision_at_10
value: 20.816000000000003
- type: precision_at_100
value: 8.245
- type: precision_at_1000
value: 1.555
- type: precision_at_3
value: 27.891
- type: precision_at_5
value: 24.082
- type: recall_at_1
value: 1.8429999999999997
- type: recall_at_10
value: 14.37
- type: recall_at_100
value: 49.120999999999995
- type: recall_at_1000
value: 83.98400000000001
- type: recall_at_3
value: 5.641
- type: recall_at_5
value: 8.321000000000002
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 71.1968
- type: ap
value: 14.44161573930493
- type: f1
value: 54.83573235336061
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 50.94510469722694
- type: f1
value: 51.12605321866063
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 37.53693681679847
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.60851165285807
- type: cos_sim_ap
value: 65.18156857786212
- type: cos_sim_f1
value: 62.61223512510475
- type: cos_sim_precision
value: 57.30878807801885
- type: cos_sim_recall
value: 68.99736147757255
- type: dot_accuracy
value: 83.60851165285807
- type: dot_ap
value: 65.18156857786212
- type: dot_f1
value: 62.61223512510475
- type: dot_precision
value: 57.30878807801885
- type: dot_recall
value: 68.99736147757255
- type: euclidean_accuracy
value: 83.60851165285807
- type: euclidean_ap
value: 65.18156857786212
- type: euclidean_f1
value: 62.61223512510475
- type: euclidean_precision
value: 57.30878807801885
- type: euclidean_recall
value: 68.99736147757255
- type: manhattan_accuracy
value: 82.49389044525243
- type: manhattan_ap
value: 62.03288965473206
- type: manhattan_f1
value: 59.25074695472304
- type: manhattan_precision
value: 52.483713355048856
- type: manhattan_recall
value: 68.02110817941951
- type: max_accuracy
value: 83.60851165285807
- type: max_ap
value: 65.18156857786212
- type: max_f1
value: 62.61223512510475
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.60235960724958
- type: cos_sim_ap
value: 83.31122009321201
- type: cos_sim_f1
value: 75.5953714072415
- type: cos_sim_precision
value: 73.36617881466454
- type: cos_sim_recall
value: 77.96427471512165
- type: dot_accuracy
value: 87.60235960724958
- type: dot_ap
value: 83.31122039383348
- type: dot_f1
value: 75.5953714072415
- type: dot_precision
value: 73.36617881466454
- type: dot_recall
value: 77.96427471512165
- type: euclidean_accuracy
value: 87.60235960724958
- type: euclidean_ap
value: 83.31123735759617
- type: euclidean_f1
value: 75.5953714072415
- type: euclidean_precision
value: 73.36617881466454
- type: euclidean_recall
value: 77.96427471512165
- type: manhattan_accuracy
value: 87.58295494236815
- type: manhattan_ap
value: 83.15022211312501
- type: manhattan_f1
value: 75.28497215681878
- type: manhattan_precision
value: 73.14982932674849
- type: manhattan_recall
value: 77.54850631352016
- type: max_accuracy
value: 87.60235960724958
- type: max_ap
value: 83.31123735759617
- type: max_f1
value: 75.5953714072415