metadata
tags:
- mteb
model-index:
- name: >-
gte-base-en-v1.5_embs_nofiltering_sortlenTrue_phrase2sent_15epoch_15epoch__adam0.001_accum1_best_epoch_3863037_bs128_result
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 72.71641791044777
- type: ap
value: 35.599140186230734
- type: f1
value: 66.72372354326045
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 72.7823
- type: ap
value: 66.88980427652794
- type: f1
value: 72.60105018624591
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 38.483999999999995
- type: f1
value: 37.867826932045745
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 21.195
- type: map_at_10
value: 35.876999999999995
- type: map_at_100
value: 37.147999999999996
- type: map_at_1000
value: 37.165
- type: map_at_3
value: 31.342
- type: map_at_5
value: 33.764
- type: mrr_at_1
value: 21.906
- type: mrr_at_10
value: 36.128
- type: mrr_at_100
value: 37.397999999999996
- type: mrr_at_1000
value: 37.416
- type: mrr_at_3
value: 31.555
- type: mrr_at_5
value: 34.001999999999995
- type: ndcg_at_1
value: 21.195
- type: ndcg_at_10
value: 44.207
- type: ndcg_at_100
value: 49.88
- type: ndcg_at_1000
value: 50.298
- type: ndcg_at_3
value: 34.755
- type: ndcg_at_5
value: 39.135
- type: precision_at_1
value: 21.195
- type: precision_at_10
value: 7.091
- type: precision_at_100
value: 0.963
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 14.889
- type: precision_at_5
value: 11.067
- type: recall_at_1
value: 21.195
- type: recall_at_10
value: 70.91
- type: recall_at_100
value: 96.30199999999999
- type: recall_at_1000
value: 99.502
- type: recall_at_3
value: 44.666
- type: recall_at_5
value: 55.334
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 38.289190023047105
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 28.15017802770073
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 54.677327183831046
- type: mrr
value: 68.2003253748406
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 81.79485923763309
- type: cos_sim_spearman
value: 79.71265968052003
- type: euclidean_pearson
value: 80.78575386279923
- type: euclidean_spearman
value: 79.71265968052003
- type: manhattan_pearson
value: 81.12300703450198
- type: manhattan_spearman
value: 81.23377867759768
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 75.04870129870129
- type: f1
value: 74.29090714638184
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 34.18202629628483
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 25.419352316577875
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 20.305
- type: map_at_10
value: 28.046
- type: map_at_100
value: 29.174
- type: map_at_1000
value: 29.326999999999998
- type: map_at_3
value: 25.464
- type: map_at_5
value: 26.874
- type: mrr_at_1
value: 26.179999999999996
- type: mrr_at_10
value: 34
- type: mrr_at_100
value: 34.797
- type: mrr_at_1000
value: 34.864
- type: mrr_at_3
value: 31.784000000000002
- type: mrr_at_5
value: 32.992
- type: ndcg_at_1
value: 26.179999999999996
- type: ndcg_at_10
value: 33.46
- type: ndcg_at_100
value: 38.539
- type: ndcg_at_1000
value: 41.619
- type: ndcg_at_3
value: 29.471000000000004
- type: ndcg_at_5
value: 31.169999999999998
- type: precision_at_1
value: 26.179999999999996
- type: precision_at_10
value: 6.680999999999999
- type: precision_at_100
value: 1.15
- type: precision_at_1000
value: 0.173
- type: precision_at_3
value: 14.591999999999999
- type: precision_at_5
value: 10.73
- type: recall_at_1
value: 20.305
- type: recall_at_10
value: 43.199
- type: recall_at_100
value: 66.46
- type: recall_at_1000
value: 87.469
- type: recall_at_3
value: 30.94
- type: recall_at_5
value: 35.927
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 18.265
- type: map_at_10
value: 24.661
- type: map_at_100
value: 25.739
- type: map_at_1000
value: 25.86
- type: map_at_3
value: 22.775000000000002
- type: map_at_5
value: 23.814
- type: mrr_at_1
value: 23.185
- type: mrr_at_10
value: 29.067
- type: mrr_at_100
value: 29.939
- type: mrr_at_1000
value: 30.007
- type: mrr_at_3
value: 27.197
- type: mrr_at_5
value: 28.248
- type: ndcg_at_1
value: 23.185
- type: ndcg_at_10
value: 28.638
- type: ndcg_at_100
value: 33.341
- type: ndcg_at_1000
value: 36.11
- type: ndcg_at_3
value: 25.599
- type: ndcg_at_5
value: 26.901999999999997
- type: precision_at_1
value: 23.185
- type: precision_at_10
value: 5.306
- type: precision_at_100
value: 0.959
- type: precision_at_1000
value: 0.145
- type: precision_at_3
value: 12.442
- type: precision_at_5
value: 8.764
- type: recall_at_1
value: 18.265
- type: recall_at_10
value: 36.055
- type: recall_at_100
value: 56.419
- type: recall_at_1000
value: 75.25500000000001
- type: recall_at_3
value: 26.906999999999996
- type: recall_at_5
value: 30.637999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 27.065
- type: map_at_10
value: 35.952
- type: map_at_100
value: 37.092999999999996
- type: map_at_1000
value: 37.19
- type: map_at_3
value: 33.410000000000004
- type: map_at_5
value: 34.743
- type: mrr_at_1
value: 31.223
- type: mrr_at_10
value: 39.174
- type: mrr_at_100
value: 40.091
- type: mrr_at_1000
value: 40.152
- type: mrr_at_3
value: 37.011
- type: mrr_at_5
value: 38.115
- type: ndcg_at_1
value: 31.223
- type: ndcg_at_10
value: 40.871
- type: ndcg_at_100
value: 46.068
- type: ndcg_at_1000
value: 48.295
- type: ndcg_at_3
value: 36.285000000000004
- type: ndcg_at_5
value: 38.25
- type: precision_at_1
value: 31.223
- type: precision_at_10
value: 6.639
- type: precision_at_100
value: 1.014
- type: precision_at_1000
value: 0.128
- type: precision_at_3
value: 16.092000000000002
- type: precision_at_5
value: 11.047
- type: recall_at_1
value: 27.065
- type: recall_at_10
value: 52.605000000000004
- type: recall_at_100
value: 75.653
- type: recall_at_1000
value: 91.724
- type: recall_at_3
value: 40.150999999999996
- type: recall_at_5
value: 44.979
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 12.692999999999998
- type: map_at_10
value: 17.427
- type: map_at_100
value: 18.235
- type: map_at_1000
value: 18.355
- type: map_at_3
value: 16.144
- type: map_at_5
value: 16.81
- type: mrr_at_1
value: 13.672
- type: mrr_at_10
value: 18.633
- type: mrr_at_100
value: 19.447
- type: mrr_at_1000
value: 19.554
- type: mrr_at_3
value: 17.401
- type: mrr_at_5
value: 17.983
- type: ndcg_at_1
value: 13.672
- type: ndcg_at_10
value: 20.212
- type: ndcg_at_100
value: 24.66
- type: ndcg_at_1000
value: 28.265
- type: ndcg_at_3
value: 17.625
- type: ndcg_at_5
value: 18.728
- type: precision_at_1
value: 13.672
- type: precision_at_10
value: 3.141
- type: precision_at_100
value: 0.569
- type: precision_at_1000
value: 0.093
- type: precision_at_3
value: 7.5329999999999995
- type: precision_at_5
value: 5.220000000000001
- type: recall_at_1
value: 12.692999999999998
- type: recall_at_10
value: 27.656
- type: recall_at_100
value: 48.927
- type: recall_at_1000
value: 77.113
- type: recall_at_3
value: 20.54
- type: recall_at_5
value: 23.177
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 7.814
- type: map_at_10
value: 11.472
- type: map_at_100
value: 12.283
- type: map_at_1000
value: 12.407
- type: map_at_3
value: 9.892
- type: map_at_5
value: 10.525
- type: mrr_at_1
value: 9.950000000000001
- type: mrr_at_10
value: 13.947999999999999
- type: mrr_at_100
value: 14.790000000000001
- type: mrr_at_1000
value: 14.893999999999998
- type: mrr_at_3
value: 12.189
- type: mrr_at_5
value: 12.91
- type: ndcg_at_1
value: 9.950000000000001
- type: ndcg_at_10
value: 14.481
- type: ndcg_at_100
value: 18.999
- type: ndcg_at_1000
value: 22.519
- type: ndcg_at_3
value: 11.212
- type: ndcg_at_5
value: 12.238
- type: precision_at_1
value: 9.950000000000001
- type: precision_at_10
value: 2.861
- type: precision_at_100
value: 0.607
- type: precision_at_1000
value: 0.104
- type: precision_at_3
value: 5.224
- type: precision_at_5
value: 3.856
- type: recall_at_1
value: 7.814
- type: recall_at_10
value: 21.507
- type: recall_at_100
value: 42.067
- type: recall_at_1000
value: 68.059
- type: recall_at_3
value: 12.489
- type: recall_at_5
value: 14.973
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.572
- type: map_at_10
value: 24.854000000000003
- type: map_at_100
value: 26.029000000000003
- type: map_at_1000
value: 26.177
- type: map_at_3
value: 22.417
- type: map_at_5
value: 23.612
- type: mrr_at_1
value: 22.907
- type: mrr_at_10
value: 29.643000000000004
- type: mrr_at_100
value: 30.499
- type: mrr_at_1000
value: 30.586999999999996
- type: mrr_at_3
value: 27.108999999999998
- type: mrr_at_5
value: 28.355999999999998
- type: ndcg_at_1
value: 22.907
- type: ndcg_at_10
value: 29.601
- type: ndcg_at_100
value: 35.11
- type: ndcg_at_1000
value: 38.433
- type: ndcg_at_3
value: 25.068
- type: ndcg_at_5
value: 26.828000000000003
- type: precision_at_1
value: 22.907
- type: precision_at_10
value: 5.525
- type: precision_at_100
value: 1.002
- type: precision_at_1000
value: 0.149
- type: precision_at_3
value: 11.389000000000001
- type: precision_at_5
value: 8.354000000000001
- type: recall_at_1
value: 18.572
- type: recall_at_10
value: 39.499
- type: recall_at_100
value: 63.46000000000001
- type: recall_at_1000
value: 86.52499999999999
- type: recall_at_3
value: 26.699
- type: recall_at_5
value: 31.175000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 14.918000000000001
- type: map_at_10
value: 20.223
- type: map_at_100
value: 21.429000000000002
- type: map_at_1000
value: 21.578
- type: map_at_3
value: 18.278
- type: map_at_5
value: 19.312
- type: mrr_at_1
value: 18.037
- type: mrr_at_10
value: 23.75
- type: mrr_at_100
value: 24.804000000000002
- type: mrr_at_1000
value: 24.898
- type: mrr_at_3
value: 21.842
- type: mrr_at_5
value: 22.755
- type: ndcg_at_1
value: 18.037
- type: ndcg_at_10
value: 23.907
- type: ndcg_at_100
value: 29.663
- type: ndcg_at_1000
value: 33.245000000000005
- type: ndcg_at_3
value: 20.379
- type: ndcg_at_5
value: 21.799
- type: precision_at_1
value: 18.037
- type: precision_at_10
value: 4.452
- type: precision_at_100
value: 0.881
- type: precision_at_1000
value: 0.13799999999999998
- type: precision_at_3
value: 9.513
- type: precision_at_5
value: 6.895
- type: recall_at_1
value: 14.918000000000001
- type: recall_at_10
value: 31.503999999999998
- type: recall_at_100
value: 56.354000000000006
- type: recall_at_1000
value: 81.774
- type: recall_at_3
value: 21.819
- type: recall_at_5
value: 25.459
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 14.668083333333332
- type: map_at_10
value: 20.24666666666667
- type: map_at_100
value: 21.21025
- type: map_at_1000
value: 21.340666666666664
- type: map_at_3
value: 18.417083333333334
- type: map_at_5
value: 19.366833333333332
- type: mrr_at_1
value: 17.777833333333334
- type: mrr_at_10
value: 23.403333333333336
- type: mrr_at_100
value: 24.25408333333333
- type: mrr_at_1000
value: 24.34333333333333
- type: mrr_at_3
value: 21.6155
- type: mrr_at_5
value: 22.521
- type: ndcg_at_1
value: 17.777833333333334
- type: ndcg_at_10
value: 23.933500000000002
- type: ndcg_at_100
value: 28.714749999999995
- type: ndcg_at_1000
value: 31.968833333333336
- type: ndcg_at_3
value: 20.60758333333333
- type: ndcg_at_5
value: 21.982416666666666
- type: precision_at_1
value: 17.777833333333334
- type: precision_at_10
value: 4.3180000000000005
- type: precision_at_100
value: 0.8045833333333333
- type: precision_at_1000
value: 0.12691666666666668
- type: precision_at_3
value: 9.535000000000002
- type: precision_at_5
value: 6.825916666666666
- type: recall_at_1
value: 14.668083333333332
- type: recall_at_10
value: 31.930916666666665
- type: recall_at_100
value: 53.753249999999994
- type: recall_at_1000
value: 77.43366666666667
- type: recall_at_3
value: 22.524250000000002
- type: recall_at_5
value: 26.094916666666666
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 10.096
- type: map_at_10
value: 15.190999999999999
- type: map_at_100
value: 15.922
- type: map_at_1000
value: 16.017
- type: map_at_3
value: 13.664000000000001
- type: map_at_5
value: 14.446
- type: mrr_at_1
value: 12.117
- type: mrr_at_10
value: 17.294
- type: mrr_at_100
value: 18.074
- type: mrr_at_1000
value: 18.153
- type: mrr_at_3
value: 15.823
- type: mrr_at_5
value: 16.59
- type: ndcg_at_1
value: 12.117
- type: ndcg_at_10
value: 18.248
- type: ndcg_at_100
value: 22.418
- type: ndcg_at_1000
value: 25.271
- type: ndcg_at_3
value: 15.368
- type: ndcg_at_5
value: 16.614
- type: precision_at_1
value: 12.117
- type: precision_at_10
value: 3.206
- type: precision_at_100
value: 0.583
- type: precision_at_1000
value: 0.09
- type: precision_at_3
value: 7.106
- type: precision_at_5
value: 5.061
- type: recall_at_1
value: 10.096
- type: recall_at_10
value: 25.624000000000002
- type: recall_at_100
value: 45.49
- type: recall_at_1000
value: 67.392
- type: recall_at_3
value: 17.68
- type: recall_at_5
value: 20.823
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.7780000000000005
- type: map_at_10
value: 11.493
- type: map_at_100
value: 12.200999999999999
- type: map_at_1000
value: 12.324
- type: map_at_3
value: 10.244
- type: map_at_5
value: 10.899000000000001
- type: mrr_at_1
value: 9.876
- type: mrr_at_10
value: 14.001
- type: mrr_at_100
value: 14.701
- type: mrr_at_1000
value: 14.799999999999999
- type: mrr_at_3
value: 12.583
- type: mrr_at_5
value: 13.325000000000001
- type: ndcg_at_1
value: 9.876
- type: ndcg_at_10
value: 14.158000000000001
- type: ndcg_at_100
value: 18.038999999999998
- type: ndcg_at_1000
value: 21.58
- type: ndcg_at_3
value: 11.722000000000001
- type: ndcg_at_5
value: 12.769
- type: precision_at_1
value: 9.876
- type: precision_at_10
value: 2.705
- type: precision_at_100
value: 0.555
- type: precision_at_1000
value: 0.10300000000000001
- type: precision_at_3
value: 5.666
- type: precision_at_5
value: 4.178
- type: recall_at_1
value: 7.7780000000000005
- type: recall_at_10
value: 19.86
- type: recall_at_100
value: 38
- type: recall_at_1000
value: 64.331
- type: recall_at_3
value: 13.117999999999999
- type: recall_at_5
value: 15.783
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 13.088
- type: map_at_10
value: 17.759
- type: map_at_100
value: 18.597
- type: map_at_1000
value: 18.718
- type: map_at_3
value: 16.232
- type: map_at_5
value: 17.129
- type: mrr_at_1
value: 15.672
- type: mrr_at_10
value: 20.676
- type: mrr_at_100
value: 21.505
- type: mrr_at_1000
value: 21.605
- type: mrr_at_3
value: 18.999
- type: mrr_at_5
value: 19.932
- type: ndcg_at_1
value: 15.672
- type: ndcg_at_10
value: 21.035
- type: ndcg_at_100
value: 25.52
- type: ndcg_at_1000
value: 28.875
- type: ndcg_at_3
value: 18.015
- type: ndcg_at_5
value: 19.476
- type: precision_at_1
value: 15.672
- type: precision_at_10
value: 3.535
- type: precision_at_100
value: 0.652
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 8.24
- type: precision_at_5
value: 5.821
- type: recall_at_1
value: 13.088
- type: recall_at_10
value: 28.414
- type: recall_at_100
value: 48.949999999999996
- type: recall_at_1000
value: 73.67399999999999
- type: recall_at_3
value: 19.893
- type: recall_at_5
value: 23.718
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 13.433
- type: map_at_10
value: 19.926
- type: map_at_100
value: 21.11
- type: map_at_1000
value: 21.302
- type: map_at_3
value: 17.991
- type: map_at_5
value: 19.078999999999997
- type: mrr_at_1
value: 17.391000000000002
- type: mrr_at_10
value: 23.433999999999997
- type: mrr_at_100
value: 24.41
- type: mrr_at_1000
value: 24.501
- type: mrr_at_3
value: 21.706
- type: mrr_at_5
value: 22.684
- type: ndcg_at_1
value: 17.391000000000002
- type: ndcg_at_10
value: 24.11
- type: ndcg_at_100
value: 29.500999999999998
- type: ndcg_at_1000
value: 33.093
- type: ndcg_at_3
value: 21.037
- type: ndcg_at_5
value: 22.439
- type: precision_at_1
value: 17.391000000000002
- type: precision_at_10
value: 4.881
- type: precision_at_100
value: 1.138
- type: precision_at_1000
value: 0.2
- type: precision_at_3
value: 10.277
- type: precision_at_5
value: 7.549
- type: recall_at_1
value: 13.433
- type: recall_at_10
value: 32.029
- type: recall_at_100
value: 57.727
- type: recall_at_1000
value: 82.536
- type: recall_at_3
value: 22.914
- type: recall_at_5
value: 26.844
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 11.99
- type: map_at_10
value: 15.956000000000001
- type: map_at_100
value: 16.711000000000002
- type: map_at_1000
value: 16.833000000000002
- type: map_at_3
value: 14.494000000000002
- type: map_at_5
value: 15.159
- type: mrr_at_1
value: 13.123999999999999
- type: mrr_at_10
value: 17.22
- type: mrr_at_100
value: 17.992
- type: mrr_at_1000
value: 18.105
- type: mrr_at_3
value: 15.742
- type: mrr_at_5
value: 16.362
- type: ndcg_at_1
value: 13.123999999999999
- type: ndcg_at_10
value: 18.481
- type: ndcg_at_100
value: 22.719
- type: ndcg_at_1000
value: 26.321
- type: ndcg_at_3
value: 15.509999999999998
- type: ndcg_at_5
value: 16.576
- type: precision_at_1
value: 13.123999999999999
- type: precision_at_10
value: 2.884
- type: precision_at_100
value: 0.545
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 6.346
- type: precision_at_5
value: 4.436
- type: recall_at_1
value: 11.99
- type: recall_at_10
value: 25.219
- type: recall_at_100
value: 45.532000000000004
- type: recall_at_1000
value: 73.35199999999999
- type: recall_at_3
value: 17.141000000000002
- type: recall_at_5
value: 19.643
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 7.6240000000000006
- type: map_at_10
value: 13.211999999999998
- type: map_at_100
value: 14.82
- type: map_at_1000
value: 15.039
- type: map_at_3
value: 10.793999999999999
- type: map_at_5
value: 12.035
- type: mrr_at_1
value: 17.459
- type: mrr_at_10
value: 26.590000000000003
- type: mrr_at_100
value: 27.792
- type: mrr_at_1000
value: 27.851
- type: mrr_at_3
value: 23.268
- type: mrr_at_5
value: 25.192999999999998
- type: ndcg_at_1
value: 17.459
- type: ndcg_at_10
value: 19.606
- type: ndcg_at_100
value: 26.87
- type: ndcg_at_1000
value: 31.080000000000002
- type: ndcg_at_3
value: 15.190000000000001
- type: ndcg_at_5
value: 16.85
- type: precision_at_1
value: 17.459
- type: precision_at_10
value: 6.45
- type: precision_at_100
value: 1.421
- type: precision_at_1000
value: 0.219
- type: precision_at_3
value: 11.488
- type: precision_at_5
value: 9.316
- type: recall_at_1
value: 7.6240000000000006
- type: recall_at_10
value: 24.593
- type: recall_at_100
value: 50.300999999999995
- type: recall_at_1000
value: 74.439
- type: recall_at_3
value: 14.097000000000001
- type: recall_at_5
value: 18.362000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 4.456
- type: map_at_10
value: 9.995
- type: map_at_100
value: 14.196
- type: map_at_1000
value: 15.284
- type: map_at_3
value: 7.02
- type: map_at_5
value: 8.341
- type: mrr_at_1
value: 43.25
- type: mrr_at_10
value: 52.626
- type: mrr_at_100
value: 53.361000000000004
- type: mrr_at_1000
value: 53.396
- type: mrr_at_3
value: 50.208
- type: mrr_at_5
value: 51.696
- type: ndcg_at_1
value: 31.75
- type: ndcg_at_10
value: 24.557000000000002
- type: ndcg_at_100
value: 28.179
- type: ndcg_at_1000
value: 35.42
- type: ndcg_at_3
value: 27.05
- type: ndcg_at_5
value: 25.938
- type: precision_at_1
value: 43.25
- type: precision_at_10
value: 21.95
- type: precision_at_100
value: 7.21
- type: precision_at_1000
value: 1.5310000000000001
- type: precision_at_3
value: 32.25
- type: precision_at_5
value: 28.050000000000004
- type: recall_at_1
value: 4.456
- type: recall_at_10
value: 14.808
- type: recall_at_100
value: 35.062
- type: recall_at_1000
value: 60.111000000000004
- type: recall_at_3
value: 8.333
- type: recall_at_5
value: 10.847999999999999
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 48.275
- type: f1
value: 44.11697299626323
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 16.512
- type: map_at_10
value: 25.102000000000004
- type: map_at_100
value: 26.14
- type: map_at_1000
value: 26.212000000000003
- type: map_at_3
value: 22.531000000000002
- type: map_at_5
value: 23.959
- type: mrr_at_1
value: 17.642
- type: mrr_at_10
value: 26.665
- type: mrr_at_100
value: 27.700000000000003
- type: mrr_at_1000
value: 27.762999999999998
- type: mrr_at_3
value: 24.03
- type: mrr_at_5
value: 25.501
- type: ndcg_at_1
value: 17.642
- type: ndcg_at_10
value: 30.162
- type: ndcg_at_100
value: 35.393
- type: ndcg_at_1000
value: 37.370999999999995
- type: ndcg_at_3
value: 24.878
- type: ndcg_at_5
value: 27.426000000000002
- type: precision_at_1
value: 17.642
- type: precision_at_10
value: 4.845
- type: precision_at_100
value: 0.765
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 10.876
- type: precision_at_5
value: 7.864
- type: recall_at_1
value: 16.512
- type: recall_at_10
value: 44.528
- type: recall_at_100
value: 68.794
- type: recall_at_1000
value: 84.055
- type: recall_at_3
value: 30.151
- type: recall_at_5
value: 36.244
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 6.548
- type: map_at_10
value: 11.365
- type: map_at_100
value: 12.659
- type: map_at_1000
value: 12.870999999999999
- type: map_at_3
value: 9.238
- type: map_at_5
value: 10.295
- type: mrr_at_1
value: 13.735
- type: mrr_at_10
value: 19.666
- type: mrr_at_100
value: 20.848
- type: mrr_at_1000
value: 20.951
- type: mrr_at_3
value: 17.335
- type: mrr_at_5
value: 18.616
- type: ndcg_at_1
value: 13.735
- type: ndcg_at_10
value: 15.923000000000002
- type: ndcg_at_100
value: 22.23
- type: ndcg_at_1000
value: 26.893
- type: ndcg_at_3
value: 12.756
- type: ndcg_at_5
value: 13.883999999999999
- type: precision_at_1
value: 13.735
- type: precision_at_10
value: 4.7379999999999995
- type: precision_at_100
value: 1.086
- type: precision_at_1000
value: 0.19
- type: precision_at_3
value: 8.436
- type: precision_at_5
value: 6.7589999999999995
- type: recall_at_1
value: 6.548
- type: recall_at_10
value: 21.267
- type: recall_at_100
value: 46.07
- type: recall_at_1000
value: 74.868
- type: recall_at_3
value: 11.611
- type: recall_at_5
value: 15.284
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 17.387
- type: map_at_10
value: 24.564
- type: map_at_100
value: 25.503999999999998
- type: map_at_1000
value: 25.619999999999997
- type: map_at_3
value: 22.496
- type: map_at_5
value: 23.646
- type: mrr_at_1
value: 34.774
- type: mrr_at_10
value: 41.935
- type: mrr_at_100
value: 42.679
- type: mrr_at_1000
value: 42.737
- type: mrr_at_3
value: 39.883
- type: mrr_at_5
value: 41.063
- type: ndcg_at_1
value: 34.774
- type: ndcg_at_10
value: 31.456
- type: ndcg_at_100
value: 35.827
- type: ndcg_at_1000
value: 38.627
- type: ndcg_at_3
value: 27.534999999999997
- type: ndcg_at_5
value: 29.452
- type: precision_at_1
value: 34.774
- type: precision_at_10
value: 6.97
- type: precision_at_100
value: 1.048
- type: precision_at_1000
value: 0.14200000000000002
- type: precision_at_3
value: 17.349
- type: precision_at_5
value: 11.924
- type: recall_at_1
value: 17.387
- type: recall_at_10
value: 34.848
- type: recall_at_100
value: 52.384
- type: recall_at_1000
value: 71.134
- type: recall_at_3
value: 26.023000000000003
- type: recall_at_5
value: 29.811
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 69.98119999999999
- type: ap
value: 64.17725086855937
- type: f1
value: 69.78928359055172
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.372999999999999
- type: map_at_10
value: 11.145
- type: map_at_100
value: 12.055
- type: map_at_1000
value: 12.17
- type: map_at_3
value: 9.391
- type: map_at_5
value: 10.270999999999999
- type: mrr_at_1
value: 6.561999999999999
- type: mrr_at_10
value: 11.446000000000002
- type: mrr_at_100
value: 12.359
- type: mrr_at_1000
value: 12.47
- type: mrr_at_3
value: 9.654
- type: mrr_at_5
value: 10.566
- type: ndcg_at_1
value: 6.5329999999999995
- type: ndcg_at_10
value: 14.174000000000001
- type: ndcg_at_100
value: 19.168
- type: ndcg_at_1000
value: 22.579
- type: ndcg_at_3
value: 10.465
- type: ndcg_at_5
value: 12.057
- type: precision_at_1
value: 6.5329999999999995
- type: precision_at_10
value: 2.451
- type: precision_at_100
value: 0.506
- type: precision_at_1000
value: 0.08
- type: precision_at_3
value: 4.58
- type: precision_at_5
value: 3.553
- type: recall_at_1
value: 6.372999999999999
- type: recall_at_10
value: 23.639
- type: recall_at_100
value: 48.012
- type: recall_at_1000
value: 75.368
- type: recall_at_3
value: 13.333
- type: recall_at_5
value: 17.147000000000002
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 91.3953488372093
- type: f1
value: 90.47618297254341
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 61.249430004559954
- type: f1
value: 42.242289025471344
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 65.15131136516476
- type: f1
value: 62.8508450491576
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.9670477471419
- type: f1
value: 70.83719077833712
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 31.27049656570754
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 27.8992311215977
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 31.216583547389536
- type: mrr
value: 32.31147129597184
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.651000000000001
- type: map_at_10
value: 8.924999999999999
- type: map_at_100
value: 11.43
- type: map_at_1000
value: 12.879999999999999
- type: map_at_3
value: 6.718
- type: map_at_5
value: 7.727
- type: mrr_at_1
value: 37.461
- type: mrr_at_10
value: 46.018
- type: mrr_at_100
value: 46.649
- type: mrr_at_1000
value: 46.713
- type: mrr_at_3
value: 43.55
- type: mrr_at_5
value: 44.928000000000004
- type: ndcg_at_1
value: 36.378
- type: ndcg_at_10
value: 27.193
- type: ndcg_at_100
value: 25.840000000000003
- type: ndcg_at_1000
value: 35.382999999999996
- type: ndcg_at_3
value: 31.054
- type: ndcg_at_5
value: 29.523
- type: precision_at_1
value: 37.461
- type: precision_at_10
value: 19.875999999999998
- type: precision_at_100
value: 7.198
- type: precision_at_1000
value: 2.069
- type: precision_at_3
value: 28.38
- type: precision_at_5
value: 25.386999999999997
- type: recall_at_1
value: 4.651000000000001
- type: recall_at_10
value: 13.517999999999999
- type: recall_at_100
value: 28.475
- type: recall_at_1000
value: 61.861999999999995
- type: recall_at_3
value: 7.657
- type: recall_at_5
value: 9.76
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 9.456000000000001
- type: map_at_10
value: 16.392
- type: map_at_100
value: 17.730999999999998
- type: map_at_1000
value: 17.835
- type: map_at_3
value: 13.743
- type: map_at_5
value: 15.262999999999998
- type: mrr_at_1
value: 10.776
- type: mrr_at_10
value: 18.163999999999998
- type: mrr_at_100
value: 19.403000000000002
- type: mrr_at_1000
value: 19.489
- type: mrr_at_3
value: 15.464
- type: mrr_at_5
value: 17.035
- type: ndcg_at_1
value: 10.776
- type: ndcg_at_10
value: 20.959
- type: ndcg_at_100
value: 27.589000000000002
- type: ndcg_at_1000
value: 30.416999999999998
- type: ndcg_at_3
value: 15.552
- type: ndcg_at_5
value: 18.275
- type: precision_at_1
value: 10.776
- type: precision_at_10
value: 3.94
- type: precision_at_100
value: 0.763
- type: precision_at_1000
value: 0.10300000000000001
- type: precision_at_3
value: 7.396999999999999
- type: precision_at_5
value: 5.933
- type: recall_at_1
value: 9.456000000000001
- type: recall_at_10
value: 33.394
- type: recall_at_100
value: 63.915
- type: recall_at_1000
value: 85.598
- type: recall_at_3
value: 19.098000000000003
- type: recall_at_5
value: 25.466
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 64.744
- type: map_at_10
value: 77.86
- type: map_at_100
value: 78.58800000000001
- type: map_at_1000
value: 78.617
- type: map_at_3
value: 74.788
- type: map_at_5
value: 76.716
- type: mrr_at_1
value: 74.49
- type: mrr_at_10
value: 81.843
- type: mrr_at_100
value: 82.035
- type: mrr_at_1000
value: 82.038
- type: mrr_at_3
value: 80.39
- type: mrr_at_5
value: 81.372
- type: ndcg_at_1
value: 74.59
- type: ndcg_at_10
value: 82.459
- type: ndcg_at_100
value: 84.34899999999999
- type: ndcg_at_1000
value: 84.626
- type: ndcg_at_3
value: 78.821
- type: ndcg_at_5
value: 80.83500000000001
- type: precision_at_1
value: 74.59
- type: precision_at_10
value: 12.494
- type: precision_at_100
value: 1.477
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 34.233000000000004
- type: precision_at_5
value: 22.747999999999998
- type: recall_at_1
value: 64.744
- type: recall_at_10
value: 91.355
- type: recall_at_100
value: 98.30799999999999
- type: recall_at_1000
value: 99.766
- type: recall_at_3
value: 81.109
- type: recall_at_5
value: 86.572
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 46.254882422464526
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 50.94989318333412
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.868
- type: map_at_10
value: 7.155
- type: map_at_100
value: 8.651
- type: map_at_1000
value: 8.921
- type: map_at_3
value: 5.197
- type: map_at_5
value: 6.168
- type: mrr_at_1
value: 14.099999999999998
- type: mrr_at_10
value: 22.528000000000002
- type: mrr_at_100
value: 23.730999999999998
- type: mrr_at_1000
value: 23.827
- type: mrr_at_3
value: 19.683
- type: mrr_at_5
value: 21.233
- type: ndcg_at_1
value: 14.099999999999998
- type: ndcg_at_10
value: 12.756
- type: ndcg_at_100
value: 19.49
- type: ndcg_at_1000
value: 24.942
- type: ndcg_at_3
value: 11.905000000000001
- type: ndcg_at_5
value: 10.474
- type: precision_at_1
value: 14.099999999999998
- type: precision_at_10
value: 6.7299999999999995
- type: precision_at_100
value: 1.657
- type: precision_at_1000
value: 0.297
- type: precision_at_3
value: 11.200000000000001
- type: precision_at_5
value: 9.3
- type: recall_at_1
value: 2.868
- type: recall_at_10
value: 13.613
- type: recall_at_100
value: 33.645
- type: recall_at_1000
value: 60.372
- type: recall_at_3
value: 6.808
- type: recall_at_5
value: 9.418
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 77.98965504956827
- type: cos_sim_spearman
value: 68.28460263921258
- type: euclidean_pearson
value: 73.50270698016448
- type: euclidean_spearman
value: 68.28468403646217
- type: manhattan_pearson
value: 72.8261914195885
- type: manhattan_spearman
value: 67.86873546122553
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 77.14830947681742
- type: cos_sim_spearman
value: 68.60266030636393
- type: euclidean_pearson
value: 72.88451477994006
- type: euclidean_spearman
value: 68.60389167221209
- type: manhattan_pearson
value: 71.89880964464528
- type: manhattan_spearman
value: 68.11051648970675
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 78.72037928360238
- type: cos_sim_spearman
value: 79.74389537608737
- type: euclidean_pearson
value: 79.39980926218213
- type: euclidean_spearman
value: 79.74393317465844
- type: manhattan_pearson
value: 78.7481714360194
- type: manhattan_spearman
value: 79.05784658583435
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 79.20839429694983
- type: cos_sim_spearman
value: 75.75758249233702
- type: euclidean_pearson
value: 78.2593144118954
- type: euclidean_spearman
value: 75.7575727998599
- type: manhattan_pearson
value: 77.98797449902915
- type: manhattan_spearman
value: 75.58570762607603
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 82.38797626966284
- type: cos_sim_spearman
value: 83.0821006142509
- type: euclidean_pearson
value: 82.89995084283936
- type: euclidean_spearman
value: 83.08209908184749
- type: manhattan_pearson
value: 82.6019409098804
- type: manhattan_spearman
value: 82.76534947735776
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 77.80219740466768
- type: cos_sim_spearman
value: 79.07336247296158
- type: euclidean_pearson
value: 78.34175159212086
- type: euclidean_spearman
value: 79.07335507859334
- type: manhattan_pearson
value: 78.146156004842
- type: manhattan_spearman
value: 78.85783029933849
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 84.74773705987958
- type: cos_sim_spearman
value: 85.73402749289298
- type: euclidean_pearson
value: 85.18510280404286
- type: euclidean_spearman
value: 85.73490066116952
- type: manhattan_pearson
value: 84.93638596678905
- type: manhattan_spearman
value: 85.5315548466084
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 59.17015437324628
- type: cos_sim_spearman
value: 59.75467857816752
- type: euclidean_pearson
value: 60.812443155269534
- type: euclidean_spearman
value: 59.75467857816752
- type: manhattan_pearson
value: 59.950493146979255
- type: manhattan_spearman
value: 58.932105528273645
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 80.46948132600193
- type: cos_sim_spearman
value: 79.10069645170242
- type: euclidean_pearson
value: 80.31463403998292
- type: euclidean_spearman
value: 79.10071491600597
- type: manhattan_pearson
value: 80.01917165738134
- type: manhattan_spearman
value: 78.86150076844012
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 74.0368453616957
- type: mrr
value: 91.42105987694224
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 37.083
- type: map_at_10
value: 45.626
- type: map_at_100
value: 46.741
- type: map_at_1000
value: 46.796
- type: map_at_3
value: 43.397999999999996
- type: map_at_5
value: 44.098
- type: mrr_at_1
value: 39.333
- type: mrr_at_10
value: 47.424
- type: mrr_at_100
value: 48.365
- type: mrr_at_1000
value: 48.413000000000004
- type: mrr_at_3
value: 45.444
- type: mrr_at_5
value: 46.011
- type: ndcg_at_1
value: 39.333
- type: ndcg_at_10
value: 50.324999999999996
- type: ndcg_at_100
value: 55.74400000000001
- type: ndcg_at_1000
value: 57.092
- type: ndcg_at_3
value: 45.805
- type: ndcg_at_5
value: 46.826
- type: precision_at_1
value: 39.333
- type: precision_at_10
value: 6.9
- type: precision_at_100
value: 0.993
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 18.111
- type: precision_at_5
value: 11.466999999999999
- type: recall_at_1
value: 37.083
- type: recall_at_10
value: 63.444
- type: recall_at_100
value: 88.617
- type: recall_at_1000
value: 98.867
- type: recall_at_3
value: 50.556
- type: recall_at_5
value: 53.056000000000004
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.66039603960397
- type: cos_sim_ap
value: 89.16346887114837
- type: cos_sim_f1
value: 83.18072289156628
- type: cos_sim_precision
value: 80.27906976744185
- type: cos_sim_recall
value: 86.3
- type: dot_accuracy
value: 99.66039603960397
- type: dot_ap
value: 89.16346887114837
- type: dot_f1
value: 83.18072289156628
- type: dot_precision
value: 80.27906976744185
- type: dot_recall
value: 86.3
- type: euclidean_accuracy
value: 99.66039603960397
- type: euclidean_ap
value: 89.16346887114837
- type: euclidean_f1
value: 83.18072289156628
- type: euclidean_precision
value: 80.27906976744185
- type: euclidean_recall
value: 86.3
- type: manhattan_accuracy
value: 99.66930693069307
- type: manhattan_ap
value: 89.13276894140405
- type: manhattan_f1
value: 83.46534653465346
- type: manhattan_precision
value: 82.6470588235294
- type: manhattan_recall
value: 84.3
- type: max_accuracy
value: 99.66930693069307
- type: max_ap
value: 89.16346887114837
- type: max_f1
value: 83.46534653465346
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 49.394155025012324
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 30.32321222461949
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.523517787741575
- type: mrr
value: 44.07447638146168
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 31.28542082978425
- type: cos_sim_spearman
value: 30.039804865964005
- type: dot_pearson
value: 31.28542082880828
- type: dot_spearman
value: 30.051397798547818
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.157
- type: map_at_10
value: 0.989
- type: map_at_100
value: 5.3580000000000005
- type: map_at_1000
value: 13.614999999999998
- type: map_at_3
value: 0.391
- type: map_at_5
value: 0.557
- type: mrr_at_1
value: 57.99999999999999
- type: mrr_at_10
value: 69.039
- type: mrr_at_100
value: 69.618
- type: mrr_at_1000
value: 69.618
- type: mrr_at_3
value: 67.667
- type: mrr_at_5
value: 68.56700000000001
- type: ndcg_at_1
value: 55.00000000000001
- type: ndcg_at_10
value: 48.394
- type: ndcg_at_100
value: 37.158
- type: ndcg_at_1000
value: 34.204
- type: ndcg_at_3
value: 53.754000000000005
- type: ndcg_at_5
value: 50.712999999999994
- type: precision_at_1
value: 57.99999999999999
- type: precision_at_10
value: 51.800000000000004
- type: precision_at_100
value: 39.26
- type: precision_at_1000
value: 16.503999999999998
- type: precision_at_3
value: 57.333
- type: precision_at_5
value: 52.800000000000004
- type: recall_at_1
value: 0.157
- type: recall_at_10
value: 1.238
- type: recall_at_100
value: 8.674
- type: recall_at_1000
value: 33.222
- type: recall_at_3
value: 0.436
- type: recall_at_5
value: 0.643
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.385
- type: map_at_10
value: 7.414
- type: map_at_100
value: 13.084999999999999
- type: map_at_1000
value: 14.765
- type: map_at_3
value: 3.5909999999999997
- type: map_at_5
value: 5.402
- type: mrr_at_1
value: 20.408
- type: mrr_at_10
value: 37.669000000000004
- type: mrr_at_100
value: 38.823
- type: mrr_at_1000
value: 38.823
- type: mrr_at_3
value: 33.672999999999995
- type: mrr_at_5
value: 35.612
- type: ndcg_at_1
value: 19.387999999999998
- type: ndcg_at_10
value: 19.288
- type: ndcg_at_100
value: 33.376
- type: ndcg_at_1000
value: 45.28
- type: ndcg_at_3
value: 20.511
- type: ndcg_at_5
value: 21.182000000000002
- type: precision_at_1
value: 20.408
- type: precision_at_10
value: 18.776
- type: precision_at_100
value: 8.061
- type: precision_at_1000
value: 1.5779999999999998
- type: precision_at_3
value: 23.810000000000002
- type: precision_at_5
value: 23.673
- type: recall_at_1
value: 1.385
- type: recall_at_10
value: 13.113
- type: recall_at_100
value: 48.345
- type: recall_at_1000
value: 85.087
- type: recall_at_3
value: 4.932
- type: recall_at_5
value: 8.4
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 79.2658
- type: ap
value: 19.45051650328674
- type: f1
value: 61.721255030714005
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 60.19524617996604
- type: f1
value: 60.47726202926952
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 42.20230019842334
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.32240567443525
- type: cos_sim_ap
value: 63.95052535841297
- type: cos_sim_f1
value: 60.78094302554028
- type: cos_sim_precision
value: 56.844281120808446
- type: cos_sim_recall
value: 65.30343007915567
- type: dot_accuracy
value: 83.32240567443525
- type: dot_ap
value: 63.95052535841297
- type: dot_f1
value: 60.78094302554028
- type: dot_precision
value: 56.844281120808446
- type: dot_recall
value: 65.30343007915567
- type: euclidean_accuracy
value: 83.32240567443525
- type: euclidean_ap
value: 63.95052535841297
- type: euclidean_f1
value: 60.78094302554028
- type: euclidean_precision
value: 56.844281120808446
- type: euclidean_recall
value: 65.30343007915567
- type: manhattan_accuracy
value: 83.30452405078381
- type: manhattan_ap
value: 63.82521079916541
- type: manhattan_f1
value: 60.567750833237554
- type: manhattan_precision
value: 53.65506006923234
- type: manhattan_recall
value: 69.52506596306068
- type: max_accuracy
value: 83.32240567443525
- type: max_ap
value: 63.95052535841297
- type: max_f1
value: 60.78094302554028
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.51309814879497
- type: cos_sim_ap
value: 83.04143677647984
- type: cos_sim_f1
value: 75.14412661109682
- type: cos_sim_precision
value: 71.82871182871183
- type: cos_sim_recall
value: 78.78041268863566
- type: dot_accuracy
value: 87.51309814879497
- type: dot_ap
value: 83.0414382592019
- type: dot_f1
value: 75.14412661109682
- type: dot_precision
value: 71.82871182871183
- type: dot_recall
value: 78.78041268863566
- type: euclidean_accuracy
value: 87.51309814879497
- type: euclidean_ap
value: 83.04144849399968
- type: euclidean_f1
value: 75.14412661109682
- type: euclidean_precision
value: 71.82871182871183
- type: euclidean_recall
value: 78.78041268863566
- type: manhattan_accuracy
value: 87.50921721581868
- type: manhattan_ap
value: 82.97187030449552
- type: manhattan_f1
value: 74.93584260051325
- type: manhattan_precision
value: 72.48003453485863
- type: manhattan_recall
value: 77.56390514320911
- type: max_accuracy
value: 87.51309814879497
- type: max_ap
value: 83.04144849399968
- type: max_f1
value: 75.14412661109682