metadata
tags:
- mteb
model-index:
- name: fasttext_main_lower
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 72.92537313432837
- type: ap
value: 35.92406337485786
- type: f1
value: 67.02887091461996
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 63.944849999999995
- type: ap
value: 59.63729279839117
- type: f1
value: 63.22827966847257
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 31.663999999999998
- type: f1
value: 31.01142901535539
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 14.651
- type: map_at_10
value: 24.84
- type: map_at_100
value: 25.907999999999998
- type: map_at_1000
value: 25.980999999999998
- type: map_at_3
value: 21.349
- type: map_at_5
value: 23.476
- type: mrr_at_1
value: 15.007000000000001
- type: mrr_at_10
value: 24.975
- type: mrr_at_100
value: 26.043
- type: mrr_at_1000
value: 26.116
- type: mrr_at_3
value: 21.55
- type: mrr_at_5
value: 23.624000000000002
- type: ndcg_at_1
value: 14.651
- type: ndcg_at_10
value: 30.675
- type: ndcg_at_100
value: 36.162
- type: ndcg_at_1000
value: 38.214
- type: ndcg_at_3
value: 23.571
- type: ndcg_at_5
value: 27.406000000000002
- type: precision_at_1
value: 14.651
- type: precision_at_10
value: 4.936
- type: precision_at_100
value: 0.757
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 10.005
- type: precision_at_5
value: 7.866
- type: recall_at_1
value: 14.651
- type: recall_at_10
value: 49.36
- type: recall_at_100
value: 75.676
- type: recall_at_1000
value: 92.105
- type: recall_at_3
value: 30.014000000000003
- type: recall_at_5
value: 39.330999999999996
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 35.330404041952
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 28.88645728041347
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 50.148759855706025
- type: mrr
value: 63.64430813876797
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 47.2456819755334
- type: cos_sim_spearman
value: 56.87539232993938
- type: euclidean_pearson
value: 51.27139431629815
- type: euclidean_spearman
value: 56.87539232993938
- type: manhattan_pearson
value: 54.61352629478075
- type: manhattan_spearman
value: 58.84230461724967
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 60.3474025974026
- type: f1
value: 58.61279983720927
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 33.53819524955979
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 26.93233785618298
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 16.328
- type: map_at_10
value: 22.020999999999997
- type: map_at_100
value: 23.037
- type: map_at_1000
value: 23.188
- type: map_at_3
value: 20.252
- type: map_at_5
value: 21.401
- type: mrr_at_1
value: 21.316
- type: mrr_at_10
value: 26.795
- type: mrr_at_100
value: 27.626
- type: mrr_at_1000
value: 27.721
- type: mrr_at_3
value: 25.155
- type: mrr_at_5
value: 26.299
- type: ndcg_at_1
value: 21.316
- type: ndcg_at_10
value: 25.846000000000004
- type: ndcg_at_100
value: 30.654999999999998
- type: ndcg_at_1000
value: 34.049
- type: ndcg_at_3
value: 23.247
- type: ndcg_at_5
value: 24.745
- type: precision_at_1
value: 21.316
- type: precision_at_10
value: 4.95
- type: precision_at_100
value: 0.9339999999999999
- type: precision_at_1000
value: 0.152
- type: precision_at_3
value: 11.540000000000001
- type: precision_at_5
value: 8.469
- type: recall_at_1
value: 16.328
- type: recall_at_10
value: 32.345
- type: recall_at_100
value: 54.24099999999999
- type: recall_at_1000
value: 77.729
- type: recall_at_3
value: 24.11
- type: recall_at_5
value: 28.559
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 13.532
- type: map_at_10
value: 18.482000000000003
- type: map_at_100
value: 19.279
- type: map_at_1000
value: 19.39
- type: map_at_3
value: 16.875
- type: map_at_5
value: 17.83
- type: mrr_at_1
value: 17.516000000000002
- type: mrr_at_10
value: 22.781000000000002
- type: mrr_at_100
value: 23.439
- type: mrr_at_1000
value: 23.513
- type: mrr_at_3
value: 21.04
- type: mrr_at_5
value: 22.142
- type: ndcg_at_1
value: 17.516000000000002
- type: ndcg_at_10
value: 21.954
- type: ndcg_at_100
value: 25.662000000000003
- type: ndcg_at_1000
value: 28.519
- type: ndcg_at_3
value: 19.262999999999998
- type: ndcg_at_5
value: 20.676
- type: precision_at_1
value: 17.516000000000002
- type: precision_at_10
value: 4.274
- type: precision_at_100
value: 0.775
- type: precision_at_1000
value: 0.124
- type: precision_at_3
value: 9.447999999999999
- type: precision_at_5
value: 7.031999999999999
- type: recall_at_1
value: 13.532
- type: recall_at_10
value: 27.967
- type: recall_at_100
value: 44.232
- type: recall_at_1000
value: 64.457
- type: recall_at_3
value: 20.454
- type: recall_at_5
value: 24.022
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 18.844
- type: map_at_10
value: 25.446
- type: map_at_100
value: 26.412999999999997
- type: map_at_1000
value: 26.508
- type: map_at_3
value: 23.354
- type: map_at_5
value: 24.531
- type: mrr_at_1
value: 21.755
- type: mrr_at_10
value: 28.182000000000002
- type: mrr_at_100
value: 29.096
- type: mrr_at_1000
value: 29.168
- type: mrr_at_3
value: 26.155
- type: mrr_at_5
value: 27.349
- type: ndcg_at_1
value: 21.755
- type: ndcg_at_10
value: 29.421999999999997
- type: ndcg_at_100
value: 34.215
- type: ndcg_at_1000
value: 36.757
- type: ndcg_at_3
value: 25.374999999999996
- type: ndcg_at_5
value: 27.348
- type: precision_at_1
value: 21.755
- type: precision_at_10
value: 4.871
- type: precision_at_100
value: 0.788
- type: precision_at_1000
value: 0.108
- type: precision_at_3
value: 11.285
- type: precision_at_5
value: 8.025
- type: recall_at_1
value: 18.844
- type: recall_at_10
value: 38.932
- type: recall_at_100
value: 60.587
- type: recall_at_1000
value: 79.53099999999999
- type: recall_at_3
value: 28.072999999999997
- type: recall_at_5
value: 32.885
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 7.228999999999999
- type: map_at_10
value: 10.242999999999999
- type: map_at_100
value: 10.766
- type: map_at_1000
value: 10.864
- type: map_at_3
value: 9.231
- type: map_at_5
value: 9.782
- type: mrr_at_1
value: 7.91
- type: mrr_at_10
value: 11.044
- type: mrr_at_100
value: 11.600000000000001
- type: mrr_at_1000
value: 11.697000000000001
- type: mrr_at_3
value: 10.019
- type: mrr_at_5
value: 10.584
- type: ndcg_at_1
value: 7.91
- type: ndcg_at_10
value: 12.149000000000001
- type: ndcg_at_100
value: 15.177
- type: ndcg_at_1000
value: 18.240000000000002
- type: ndcg_at_3
value: 10.097000000000001
- type: ndcg_at_5
value: 11.058
- type: precision_at_1
value: 7.91
- type: precision_at_10
value: 1.966
- type: precision_at_100
value: 0.376
- type: precision_at_1000
value: 0.067
- type: precision_at_3
value: 4.331
- type: precision_at_5
value: 3.1189999999999998
- type: recall_at_1
value: 7.228999999999999
- type: recall_at_10
value: 17.360999999999997
- type: recall_at_100
value: 31.967000000000002
- type: recall_at_1000
value: 56.284
- type: recall_at_3
value: 11.692
- type: recall_at_5
value: 14.084
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 3.666
- type: map_at_10
value: 5.902
- type: map_at_100
value: 6.436
- type: map_at_1000
value: 6.529
- type: map_at_3
value: 5.0729999999999995
- type: map_at_5
value: 5.466
- type: mrr_at_1
value: 4.726
- type: mrr_at_10
value: 7.59
- type: mrr_at_100
value: 8.190999999999999
- type: mrr_at_1000
value: 8.275
- type: mrr_at_3
value: 6.426
- type: mrr_at_5
value: 6.973
- type: ndcg_at_1
value: 4.726
- type: ndcg_at_10
value: 7.707999999999999
- type: ndcg_at_100
value: 10.688
- type: ndcg_at_1000
value: 13.5
- type: ndcg_at_3
value: 5.865
- type: ndcg_at_5
value: 6.58
- type: precision_at_1
value: 4.726
- type: precision_at_10
value: 1.592
- type: precision_at_100
value: 0.356
- type: precision_at_1000
value: 0.06899999999999999
- type: precision_at_3
value: 2.861
- type: precision_at_5
value: 2.189
- type: recall_at_1
value: 3.666
- type: recall_at_10
value: 11.700000000000001
- type: recall_at_100
value: 25.474000000000004
- type: recall_at_1000
value: 46.483000000000004
- type: recall_at_3
value: 6.749
- type: recall_at_5
value: 8.461
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 12.57
- type: map_at_10
value: 16.923
- type: map_at_100
value: 17.78
- type: map_at_1000
value: 17.909
- type: map_at_3
value: 15.143
- type: map_at_5
value: 16.145
- type: mrr_at_1
value: 15.303
- type: mrr_at_10
value: 20.379
- type: mrr_at_100
value: 21.169
- type: mrr_at_1000
value: 21.257
- type: mrr_at_3
value: 18.479
- type: mrr_at_5
value: 19.548
- type: ndcg_at_1
value: 15.303
- type: ndcg_at_10
value: 20.308999999999997
- type: ndcg_at_100
value: 24.740000000000002
- type: ndcg_at_1000
value: 28.031
- type: ndcg_at_3
value: 17.03
- type: ndcg_at_5
value: 18.614
- type: precision_at_1
value: 15.303
- type: precision_at_10
value: 3.821
- type: precision_at_100
value: 0.741
- type: precision_at_1000
value: 0.12
- type: precision_at_3
value: 7.988
- type: precision_at_5
value: 5.987
- type: recall_at_1
value: 12.57
- type: recall_at_10
value: 27.267000000000003
- type: recall_at_100
value: 46.995
- type: recall_at_1000
value: 70.743
- type: recall_at_3
value: 18.13
- type: recall_at_5
value: 22.16
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 8.965
- type: map_at_10
value: 11.955
- type: map_at_100
value: 12.82
- type: map_at_1000
value: 12.937999999999999
- type: map_at_3
value: 10.545
- type: map_at_5
value: 11.39
- type: mrr_at_1
value: 11.073
- type: mrr_at_10
value: 14.684
- type: mrr_at_100
value: 15.487
- type: mrr_at_1000
value: 15.583
- type: mrr_at_3
value: 12.995000000000001
- type: mrr_at_5
value: 14.022000000000002
- type: ndcg_at_1
value: 11.073
- type: ndcg_at_10
value: 14.511
- type: ndcg_at_100
value: 19.187
- type: ndcg_at_1000
value: 22.643
- type: ndcg_at_3
value: 11.736
- type: ndcg_at_5
value: 13.184000000000001
- type: precision_at_1
value: 11.073
- type: precision_at_10
value: 2.705
- type: precision_at_100
value: 0.614
- type: precision_at_1000
value: 0.109
- type: precision_at_3
value: 5.4030000000000005
- type: precision_at_5
value: 4.224
- type: recall_at_1
value: 8.965
- type: recall_at_10
value: 19.739
- type: recall_at_100
value: 41.118
- type: recall_at_1000
value: 66.338
- type: recall_at_3
value: 12.456
- type: recall_at_5
value: 15.921
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 10.108083333333333
- type: map_at_10
value: 13.991999999999999
- type: map_at_100
value: 14.732333333333333
- type: map_at_1000
value: 14.844750000000001
- type: map_at_3
value: 12.643666666666666
- type: map_at_5
value: 13.403166666666666
- type: mrr_at_1
value: 12.410499999999999
- type: mrr_at_10
value: 16.612333333333332
- type: mrr_at_100
value: 17.314500000000002
- type: mrr_at_1000
value: 17.400916666666667
- type: mrr_at_3
value: 15.176250000000003
- type: mrr_at_5
value: 15.996083333333337
- type: ndcg_at_1
value: 12.410499999999999
- type: ndcg_at_10
value: 16.770000000000003
- type: ndcg_at_100
value: 20.619166666666665
- type: ndcg_at_1000
value: 23.642416666666666
- type: ndcg_at_3
value: 14.258999999999997
- type: ndcg_at_5
value: 15.456583333333333
- type: precision_at_1
value: 12.410499999999999
- type: precision_at_10
value: 3.072416666666667
- type: precision_at_100
value: 0.6025833333333332
- type: precision_at_1000
value: 0.10208333333333332
- type: precision_at_3
value: 6.697916666666666
- type: precision_at_5
value: 4.908416666666667
- type: recall_at_1
value: 10.108083333333333
- type: recall_at_10
value: 22.638333333333332
- type: recall_at_100
value: 40.4035
- type: recall_at_1000
value: 62.729666666666674
- type: recall_at_3
value: 15.552249999999997
- type: recall_at_5
value: 18.653
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 6.938999999999999
- type: map_at_10
value: 10.834000000000001
- type: map_at_100
value: 11.478
- type: map_at_1000
value: 11.552
- type: map_at_3
value: 9.661999999999999
- type: map_at_5
value: 10.316
- type: mrr_at_1
value: 8.436
- type: mrr_at_10
value: 12.531
- type: mrr_at_100
value: 13.165
- type: mrr_at_1000
value: 13.229
- type: mrr_at_3
value: 11.324
- type: mrr_at_5
value: 11.953
- type: ndcg_at_1
value: 8.436
- type: ndcg_at_10
value: 13.264999999999999
- type: ndcg_at_100
value: 16.637
- type: ndcg_at_1000
value: 18.681
- type: ndcg_at_3
value: 10.993
- type: ndcg_at_5
value: 12.033000000000001
- type: precision_at_1
value: 8.436
- type: precision_at_10
value: 2.408
- type: precision_at_100
value: 0.44600000000000006
- type: precision_at_1000
value: 0.067
- type: precision_at_3
value: 5.215
- type: precision_at_5
value: 3.804
- type: recall_at_1
value: 6.938999999999999
- type: recall_at_10
value: 19.154
- type: recall_at_100
value: 34.833
- type: recall_at_1000
value: 50.275999999999996
- type: recall_at_3
value: 12.740000000000002
- type: recall_at_5
value: 15.473999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 4.916
- type: map_at_10
value: 7.295
- type: map_at_100
value: 7.793
- type: map_at_1000
value: 7.886
- type: map_at_3
value: 6.462
- type: map_at_5
value: 6.927
- type: mrr_at_1
value: 6.607
- type: mrr_at_10
value: 9.322999999999999
- type: mrr_at_100
value: 9.847
- type: mrr_at_1000
value: 9.932
- type: mrr_at_3
value: 8.368
- type: mrr_at_5
value: 8.905000000000001
- type: ndcg_at_1
value: 6.607
- type: ndcg_at_10
value: 9.123000000000001
- type: ndcg_at_100
value: 11.846
- type: ndcg_at_1000
value: 14.732000000000001
- type: ndcg_at_3
value: 7.5520000000000005
- type: ndcg_at_5
value: 8.272
- type: precision_at_1
value: 6.607
- type: precision_at_10
value: 1.796
- type: precision_at_100
value: 0.379
- type: precision_at_1000
value: 0.074
- type: precision_at_3
value: 3.739
- type: precision_at_5
value: 2.815
- type: recall_at_1
value: 4.916
- type: recall_at_10
value: 12.773000000000001
- type: recall_at_100
value: 25.465
- type: recall_at_1000
value: 47.243
- type: recall_at_3
value: 8.272
- type: recall_at_5
value: 10.162
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 9.5
- type: map_at_10
value: 12.776000000000002
- type: map_at_100
value: 13.444
- type: map_at_1000
value: 13.547999999999998
- type: map_at_3
value: 11.858
- type: map_at_5
value: 12.231
- type: mrr_at_1
value: 11.66
- type: mrr_at_10
value: 15.454
- type: mrr_at_100
value: 16.137999999999998
- type: mrr_at_1000
value: 16.233
- type: mrr_at_3
value: 14.427999999999999
- type: mrr_at_5
value: 14.81
- type: ndcg_at_1
value: 11.66
- type: ndcg_at_10
value: 15.27
- type: ndcg_at_100
value: 18.965
- type: ndcg_at_1000
value: 22.177
- type: ndcg_at_3
value: 13.431000000000001
- type: ndcg_at_5
value: 13.944999999999999
- type: precision_at_1
value: 11.66
- type: precision_at_10
value: 2.603
- type: precision_at_100
value: 0.504
- type: precision_at_1000
value: 0.087
- type: precision_at_3
value: 6.281000000000001
- type: precision_at_5
value: 4.179
- type: recall_at_1
value: 9.5
- type: recall_at_10
value: 20.514
- type: recall_at_100
value: 37.724000000000004
- type: recall_at_1000
value: 62.098
- type: recall_at_3
value: 15.034
- type: recall_at_5
value: 16.506999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 12.277000000000001
- type: map_at_10
value: 16.07
- type: map_at_100
value: 16.958000000000002
- type: map_at_1000
value: 17.142
- type: map_at_3
value: 14.457999999999998
- type: map_at_5
value: 15.283
- type: mrr_at_1
value: 15.415000000000001
- type: mrr_at_10
value: 19.624
- type: mrr_at_100
value: 20.434
- type: mrr_at_1000
value: 20.525
- type: mrr_at_3
value: 18.083
- type: mrr_at_5
value: 18.903
- type: ndcg_at_1
value: 15.415000000000001
- type: ndcg_at_10
value: 19.429
- type: ndcg_at_100
value: 23.767
- type: ndcg_at_1000
value: 27.415
- type: ndcg_at_3
value: 16.73
- type: ndcg_at_5
value: 17.882
- type: precision_at_1
value: 15.415000000000001
- type: precision_at_10
value: 3.794
- type: precision_at_100
value: 0.8869999999999999
- type: precision_at_1000
value: 0.173
- type: precision_at_3
value: 7.971
- type: precision_at_5
value: 5.731
- type: recall_at_1
value: 12.277000000000001
- type: recall_at_10
value: 25.441999999999997
- type: recall_at_100
value: 46.048
- type: recall_at_1000
value: 71.329
- type: recall_at_3
value: 17.055999999999997
- type: recall_at_5
value: 20.53
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 6.531000000000001
- type: map_at_10
value: 9.957
- type: map_at_100
value: 10.584
- type: map_at_1000
value: 10.683
- type: map_at_3
value: 8.811
- type: map_at_5
value: 9.536
- type: mrr_at_1
value: 7.2090000000000005
- type: mrr_at_10
value: 10.961
- type: mrr_at_100
value: 11.582
- type: mrr_at_1000
value: 11.677999999999999
- type: mrr_at_3
value: 9.643
- type: mrr_at_5
value: 10.465
- type: ndcg_at_1
value: 7.2090000000000005
- type: ndcg_at_10
value: 12.254
- type: ndcg_at_100
value: 15.891
- type: ndcg_at_1000
value: 18.965
- type: ndcg_at_3
value: 9.789
- type: ndcg_at_5
value: 11.142000000000001
- type: precision_at_1
value: 7.2090000000000005
- type: precision_at_10
value: 2.089
- type: precision_at_100
value: 0.43099999999999994
- type: precision_at_1000
value: 0.075
- type: precision_at_3
value: 4.313000000000001
- type: precision_at_5
value: 3.327
- type: recall_at_1
value: 6.531000000000001
- type: recall_at_10
value: 18.465999999999998
- type: recall_at_100
value: 36.158
- type: recall_at_1000
value: 60.245000000000005
- type: recall_at_3
value: 11.860999999999999
- type: recall_at_5
value: 15.071000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.463
- type: map_at_10
value: 9.592
- type: map_at_100
value: 10.724
- type: map_at_1000
value: 10.892
- type: map_at_3
value: 7.866
- type: map_at_5
value: 8.658000000000001
- type: mrr_at_1
value: 12.899
- type: mrr_at_10
value: 20.073
- type: mrr_at_100
value: 21.05
- type: mrr_at_1000
value: 21.126
- type: mrr_at_3
value: 17.438000000000002
- type: mrr_at_5
value: 18.756999999999998
- type: ndcg_at_1
value: 12.899
- type: ndcg_at_10
value: 14.539
- type: ndcg_at_100
value: 19.903000000000002
- type: ndcg_at_1000
value: 23.485
- type: ndcg_at_3
value: 11.225999999999999
- type: ndcg_at_5
value: 12.232
- type: precision_at_1
value: 12.899
- type: precision_at_10
value: 4.8340000000000005
- type: precision_at_100
value: 1.053
- type: precision_at_1000
value: 0.16999999999999998
- type: precision_at_3
value: 8.512
- type: precision_at_5
value: 6.683999999999999
- type: recall_at_1
value: 5.463
- type: recall_at_10
value: 18.383
- type: recall_at_100
value: 37.592999999999996
- type: recall_at_1000
value: 58.12199999999999
- type: recall_at_3
value: 10.388
- type: recall_at_5
value: 13.197999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 2.386
- type: map_at_10
value: 5.118
- type: map_at_100
value: 6.997000000000001
- type: map_at_1000
value: 7.5520000000000005
- type: map_at_3
value: 3.8019999999999996
- type: map_at_5
value: 4.38
- type: mrr_at_1
value: 28.000000000000004
- type: mrr_at_10
value: 36.482
- type: mrr_at_100
value: 37.284
- type: mrr_at_1000
value: 37.338
- type: mrr_at_3
value: 33.875
- type: mrr_at_5
value: 35.3
- type: ndcg_at_1
value: 19.625
- type: ndcg_at_10
value: 14.543000000000001
- type: ndcg_at_100
value: 16.511
- type: ndcg_at_1000
value: 21.855
- type: ndcg_at_3
value: 16.842
- type: ndcg_at_5
value: 15.405
- type: precision_at_1
value: 28.000000000000004
- type: precision_at_10
value: 13.15
- type: precision_at_100
value: 4.192
- type: precision_at_1000
value: 0.918
- type: precision_at_3
value: 20.833
- type: precision_at_5
value: 16.950000000000003
- type: recall_at_1
value: 2.386
- type: recall_at_10
value: 8.482000000000001
- type: recall_at_100
value: 20.44
- type: recall_at_1000
value: 39.257
- type: recall_at_3
value: 4.739
- type: recall_at_5
value: 6.1370000000000005
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 32.865
- type: f1
value: 30.37449911679073
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 7.928
- type: map_at_10
value: 11.763
- type: map_at_100
value: 12.429
- type: map_at_1000
value: 12.499
- type: map_at_3
value: 10.452
- type: map_at_5
value: 11.162999999999998
- type: mrr_at_1
value: 8.371
- type: mrr_at_10
value: 12.357
- type: mrr_at_100
value: 13.061
- type: mrr_at_1000
value: 13.129
- type: mrr_at_3
value: 11.016
- type: mrr_at_5
value: 11.729000000000001
- type: ndcg_at_1
value: 8.371
- type: ndcg_at_10
value: 14.182
- type: ndcg_at_100
value: 17.771
- type: ndcg_at_1000
value: 19.872
- type: ndcg_at_3
value: 11.434999999999999
- type: ndcg_at_5
value: 12.708
- type: precision_at_1
value: 8.371
- type: precision_at_10
value: 2.283
- type: precision_at_100
value: 0.42100000000000004
- type: precision_at_1000
value: 0.062
- type: precision_at_3
value: 4.8500000000000005
- type: precision_at_5
value: 3.5700000000000003
- type: recall_at_1
value: 7.928
- type: recall_at_10
value: 21.287
- type: recall_at_100
value: 38.393
- type: recall_at_1000
value: 54.925000000000004
- type: recall_at_3
value: 13.725000000000001
- type: recall_at_5
value: 16.798
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 4.37
- type: map_at_10
value: 7.382
- type: map_at_100
value: 8.193
- type: map_at_1000
value: 8.349
- type: map_at_3
value: 6.361
- type: map_at_5
value: 6.814000000000001
- type: mrr_at_1
value: 8.642
- type: mrr_at_10
value: 13.352
- type: mrr_at_100
value: 14.288
- type: mrr_at_1000
value: 14.394000000000002
- type: mrr_at_3
value: 11.728
- type: mrr_at_5
value: 12.592999999999998
- type: ndcg_at_1
value: 8.642
- type: ndcg_at_10
value: 10.464
- type: ndcg_at_100
value: 14.921000000000001
- type: ndcg_at_1000
value: 19.106
- type: ndcg_at_3
value: 8.564
- type: ndcg_at_5
value: 9.186
- type: precision_at_1
value: 8.642
- type: precision_at_10
value: 2.978
- type: precision_at_100
value: 0.738
- type: precision_at_1000
value: 0.14300000000000002
- type: precision_at_3
value: 5.71
- type: precision_at_5
value: 4.352
- type: recall_at_1
value: 4.37
- type: recall_at_10
value: 13.794
- type: recall_at_100
value: 31.596000000000004
- type: recall_at_1000
value: 58.724
- type: recall_at_3
value: 8.401
- type: recall_at_5
value: 10.266
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 8.596
- type: map_at_10
value: 11.951
- type: map_at_100
value: 12.478
- type: map_at_1000
value: 12.558
- type: map_at_3
value: 10.870000000000001
- type: map_at_5
value: 11.476
- type: mrr_at_1
value: 17.191000000000003
- type: mrr_at_10
value: 21.662
- type: mrr_at_100
value: 22.249
- type: mrr_at_1000
value: 22.319
- type: mrr_at_3
value: 20.227
- type: mrr_at_5
value: 21.047
- type: ndcg_at_1
value: 17.191000000000003
- type: ndcg_at_10
value: 15.939
- type: ndcg_at_100
value: 18.711
- type: ndcg_at_1000
value: 20.942
- type: ndcg_at_3
value: 13.642999999999999
- type: ndcg_at_5
value: 14.767
- type: precision_at_1
value: 17.191000000000003
- type: precision_at_10
value: 3.633
- type: precision_at_100
value: 0.587
- type: precision_at_1000
value: 0.089
- type: precision_at_3
value: 8.643
- type: precision_at_5
value: 6.077
- type: recall_at_1
value: 8.596
- type: recall_at_10
value: 18.163
- type: recall_at_100
value: 29.359
- type: recall_at_1000
value: 44.348
- type: recall_at_3
value: 12.964
- type: recall_at_5
value: 15.192
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 63.91439999999999
- type: ap
value: 59.096879955371705
- type: f1
value: 63.65122028830217
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 4.728000000000001
- type: map_at_10
value: 7.846
- type: map_at_100
value: 8.577
- type: map_at_1000
value: 8.669
- type: map_at_3
value: 6.601
- type: map_at_5
value: 7.239
- type: mrr_at_1
value: 4.857
- type: mrr_at_10
value: 8.056000000000001
- type: mrr_at_100
value: 8.792
- type: mrr_at_1000
value: 8.882
- type: mrr_at_3
value: 6.776999999999999
- type: mrr_at_5
value: 7.430000000000001
- type: ndcg_at_1
value: 4.842
- type: ndcg_at_10
value: 9.908999999999999
- type: ndcg_at_100
value: 14.008999999999999
- type: ndcg_at_1000
value: 16.833000000000002
- type: ndcg_at_3
value: 7.276000000000001
- type: ndcg_at_5
value: 8.434
- type: precision_at_1
value: 4.842
- type: precision_at_10
value: 1.699
- type: precision_at_100
value: 0.384
- type: precision_at_1000
value: 0.063
- type: precision_at_3
value: 3.114
- type: precision_at_5
value: 2.45
- type: recall_at_1
value: 4.728000000000001
- type: recall_at_10
value: 16.375
- type: recall_at_100
value: 36.644
- type: recall_at_1000
value: 59.394999999999996
- type: recall_at_3
value: 9.062000000000001
- type: recall_at_5
value: 11.866999999999999
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 85.20291837665299
- type: f1
value: 84.70904496376967
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 56.529867761057915
- type: f1
value: 37.68950362422533
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 56.38870208473436
- type: f1
value: 53.66913773017876
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 64.53597848016139
- type: f1
value: 62.79623963098659
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.17951777550973
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 25.59311527698471
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 28.965933039410707
- type: mrr
value: 29.71860627679794
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.497
- type: map_at_10
value: 7.195
- type: map_at_100
value: 8.738999999999999
- type: map_at_1000
value: 9.934999999999999
- type: map_at_3
value: 5.572
- type: map_at_5
value: 6.311
- type: mrr_at_1
value: 26.935
- type: mrr_at_10
value: 38.634
- type: mrr_at_100
value: 39.236
- type: mrr_at_1000
value: 39.308
- type: mrr_at_3
value: 35.759
- type: mrr_at_5
value: 37.183
- type: ndcg_at_1
value: 25.697
- type: ndcg_at_10
value: 21.618000000000002
- type: ndcg_at_100
value: 20.832
- type: ndcg_at_1000
value: 30.742000000000004
- type: ndcg_at_3
value: 23.904
- type: ndcg_at_5
value: 22.922
- type: precision_at_1
value: 26.935
- type: precision_at_10
value: 15.851
- type: precision_at_100
value: 5.5329999999999995
- type: precision_at_1000
value: 1.886
- type: precision_at_3
value: 22.497
- type: precision_at_5
value: 19.752
- type: recall_at_1
value: 3.497
- type: recall_at_10
value: 11.411999999999999
- type: recall_at_100
value: 23.757
- type: recall_at_1000
value: 58.314
- type: recall_at_3
value: 6.814000000000001
- type: recall_at_5
value: 8.36
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 6.4430000000000005
- type: map_at_10
value: 10.884
- type: map_at_100
value: 11.689
- type: map_at_1000
value: 11.772
- type: map_at_3
value: 9.109
- type: map_at_5
value: 10.075000000000001
- type: mrr_at_1
value: 7.445
- type: mrr_at_10
value: 12.103
- type: mrr_at_100
value: 12.882
- type: mrr_at_1000
value: 12.956999999999999
- type: mrr_at_3
value: 10.294
- type: mrr_at_5
value: 11.292
- type: ndcg_at_1
value: 7.445
- type: ndcg_at_10
value: 13.949
- type: ndcg_at_100
value: 18.285999999999998
- type: ndcg_at_1000
value: 20.738
- type: ndcg_at_3
value: 10.302999999999999
- type: ndcg_at_5
value: 12.052
- type: precision_at_1
value: 7.445
- type: precision_at_10
value: 2.648
- type: precision_at_100
value: 0.516
- type: precision_at_1000
value: 0.075
- type: precision_at_3
value: 4.896
- type: precision_at_5
value: 3.9170000000000003
- type: recall_at_1
value: 6.4430000000000005
- type: recall_at_10
value: 22.296
- type: recall_at_100
value: 42.903000000000006
- type: recall_at_1000
value: 61.988
- type: recall_at_3
value: 12.617999999999999
- type: recall_at_5
value: 16.77
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 54.93599999999999
- type: map_at_10
value: 66.461
- type: map_at_100
value: 67.274
- type: map_at_1000
value: 67.31899999999999
- type: map_at_3
value: 63.742
- type: map_at_5
value: 65.347
- type: mrr_at_1
value: 63.28
- type: mrr_at_10
value: 71.163
- type: mrr_at_100
value: 71.53
- type: mrr_at_1000
value: 71.54599999999999
- type: mrr_at_3
value: 69.50699999999999
- type: mrr_at_5
value: 70.52000000000001
- type: ndcg_at_1
value: 63.33
- type: ndcg_at_10
value: 71.439
- type: ndcg_at_100
value: 74.154
- type: ndcg_at_1000
value: 74.90400000000001
- type: ndcg_at_3
value: 67.723
- type: ndcg_at_5
value: 69.549
- type: precision_at_1
value: 63.33
- type: precision_at_10
value: 10.81
- type: precision_at_100
value: 1.3390000000000002
- type: precision_at_1000
value: 0.147
- type: precision_at_3
value: 29.38
- type: precision_at_5
value: 19.432
- type: recall_at_1
value: 54.93599999999999
- type: recall_at_10
value: 81.259
- type: recall_at_100
value: 92.15100000000001
- type: recall_at_1000
value: 96.994
- type: recall_at_3
value: 70.499
- type: recall_at_5
value: 75.575
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 28.528725482087307
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 39.02529299655054
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.078
- type: map_at_10
value: 5.050000000000001
- type: map_at_100
value: 6.0440000000000005
- type: map_at_1000
value: 6.261
- type: map_at_3
value: 3.763
- type: map_at_5
value: 4.376
- type: mrr_at_1
value: 10.2
- type: mrr_at_10
value: 17.36
- type: mrr_at_100
value: 18.403
- type: mrr_at_1000
value: 18.52
- type: mrr_at_3
value: 14.899999999999999
- type: mrr_at_5
value: 16.13
- type: ndcg_at_1
value: 10.2
- type: ndcg_at_10
value: 9.398
- type: ndcg_at_100
value: 14.48
- type: ndcg_at_1000
value: 19.551
- type: ndcg_at_3
value: 8.790000000000001
- type: ndcg_at_5
value: 7.669
- type: precision_at_1
value: 10.2
- type: precision_at_10
value: 4.9399999999999995
- type: precision_at_100
value: 1.25
- type: precision_at_1000
value: 0.248
- type: precision_at_3
value: 8.267
- type: precision_at_5
value: 6.74
- type: recall_at_1
value: 2.078
- type: recall_at_10
value: 10.025
- type: recall_at_100
value: 25.346999999999998
- type: recall_at_1000
value: 50.393
- type: recall_at_3
value: 5.038
- type: recall_at_5
value: 6.851999999999999
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 70.69485438461535
- type: cos_sim_spearman
value: 60.7079462281202
- type: euclidean_pearson
value: 66.34648734074841
- type: euclidean_spearman
value: 60.70819668068561
- type: manhattan_pearson
value: 67.08589891209486
- type: manhattan_spearman
value: 61.037259945651165
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 62.63440086574824
- type: cos_sim_spearman
value: 57.22862459567004
- type: euclidean_pearson
value: 61.33135391980671
- type: euclidean_spearman
value: 57.2287396395971
- type: manhattan_pearson
value: 63.538353299276665
- type: manhattan_spearman
value: 59.31604272847601
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 66.99729287299299
- type: cos_sim_spearman
value: 69.20264774948375
- type: euclidean_pearson
value: 68.83879433164682
- type: euclidean_spearman
value: 69.20257380705361
- type: manhattan_pearson
value: 68.82235273988779
- type: manhattan_spearman
value: 69.12895594376502
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 63.43542239265359
- type: cos_sim_spearman
value: 62.75650954855537
- type: euclidean_pearson
value: 63.87500752354951
- type: euclidean_spearman
value: 62.75647357698498
- type: manhattan_pearson
value: 64.30854220561612
- type: manhattan_spearman
value: 63.221533112975756
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 70.3113558570832
- type: cos_sim_spearman
value: 72.99345938388264
- type: euclidean_pearson
value: 72.46131589134022
- type: euclidean_spearman
value: 72.99345776180552
- type: manhattan_pearson
value: 72.98365443642383
- type: manhattan_spearman
value: 73.52773752441843
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 59.508816955942734
- type: cos_sim_spearman
value: 64.16476610475141
- type: euclidean_pearson
value: 63.49096301327081
- type: euclidean_spearman
value: 64.16559631894077
- type: manhattan_pearson
value: 63.756149631030304
- type: manhattan_spearman
value: 64.26840399223137
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 67.68609826979123
- type: cos_sim_spearman
value: 71.8432324170499
- type: euclidean_pearson
value: 70.78716630279412
- type: euclidean_spearman
value: 71.84411358655781
- type: manhattan_pearson
value: 71.1878199213668
- type: manhattan_spearman
value: 71.86475568531382
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 37.9433386647078
- type: cos_sim_spearman
value: 52.54985995593481
- type: euclidean_pearson
value: 46.11105905665655
- type: euclidean_spearman
value: 52.54985995593481
- type: manhattan_pearson
value: 46.41925532506553
- type: manhattan_spearman
value: 52.88777657839048
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 60.69914968545304
- type: cos_sim_spearman
value: 60.16961331310221
- type: euclidean_pearson
value: 62.24558593778339
- type: euclidean_spearman
value: 60.16965021618944
- type: manhattan_pearson
value: 62.75643658834279
- type: manhattan_spearman
value: 60.537294014043894
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 67.86284091295416
- type: mrr
value: 88.32576192870312
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 24.778
- type: map_at_10
value: 32.706
- type: map_at_100
value: 33.571
- type: map_at_1000
value: 33.678000000000004
- type: map_at_3
value: 29.976999999999997
- type: map_at_5
value: 31.594
- type: mrr_at_1
value: 25.667
- type: mrr_at_10
value: 33.932
- type: mrr_at_100
value: 34.698
- type: mrr_at_1000
value: 34.788000000000004
- type: mrr_at_3
value: 31.278
- type: mrr_at_5
value: 32.861000000000004
- type: ndcg_at_1
value: 25.667
- type: ndcg_at_10
value: 37.522
- type: ndcg_at_100
value: 42.132
- type: ndcg_at_1000
value: 44.702999999999996
- type: ndcg_at_3
value: 31.948
- type: ndcg_at_5
value: 34.867
- type: precision_at_1
value: 25.667
- type: precision_at_10
value: 5.567
- type: precision_at_100
value: 0.827
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 13
- type: precision_at_5
value: 9.4
- type: recall_at_1
value: 24.778
- type: recall_at_10
value: 51.471999999999994
- type: recall_at_100
value: 73.47200000000001
- type: recall_at_1000
value: 93.01700000000001
- type: recall_at_3
value: 36.222
- type: recall_at_5
value: 43.389
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.48514851485149
- type: cos_sim_ap
value: 75.38722575287751
- type: cos_sim_f1
value: 70.21505376344086
- type: cos_sim_precision
value: 75.93023255813954
- type: cos_sim_recall
value: 65.3
- type: dot_accuracy
value: 99.48514851485149
- type: dot_ap
value: 75.38722575287751
- type: dot_f1
value: 70.21505376344086
- type: dot_precision
value: 75.93023255813954
- type: dot_recall
value: 65.3
- type: euclidean_accuracy
value: 99.48514851485149
- type: euclidean_ap
value: 75.38722575287751
- type: euclidean_f1
value: 70.21505376344086
- type: euclidean_precision
value: 75.93023255813954
- type: euclidean_recall
value: 65.3
- type: manhattan_accuracy
value: 99.51782178217822
- type: manhattan_ap
value: 78.5581368006355
- type: manhattan_f1
value: 72.85333333333335
- type: manhattan_precision
value: 78.05714285714286
- type: manhattan_recall
value: 68.30000000000001
- type: max_accuracy
value: 99.51782178217822
- type: max_ap
value: 78.5581368006355
- type: max_f1
value: 72.85333333333335
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 41.454786971313716
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 27.982742328787946
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 39.80307350579408
- type: mrr
value: 39.984641583906296
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.508810779370265
- type: cos_sim_spearman
value: 31.41267324195085
- type: dot_pearson
value: 30.50881077275705
- type: dot_spearman
value: 31.409127482666634
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.127
- type: map_at_10
value: 0.79
- type: map_at_100
value: 3.549
- type: map_at_1000
value: 8.137
- type: map_at_3
value: 0.32299999999999995
- type: map_at_5
value: 0.44200000000000006
- type: mrr_at_1
value: 56.00000000000001
- type: mrr_at_10
value: 66.777
- type: mrr_at_100
value: 67.09
- type: mrr_at_1000
value: 67.09
- type: mrr_at_3
value: 65
- type: mrr_at_5
value: 65.4
- type: ndcg_at_1
value: 48
- type: ndcg_at_10
value: 41.178
- type: ndcg_at_100
value: 28.372000000000003
- type: ndcg_at_1000
value: 24.953
- type: ndcg_at_3
value: 44.285000000000004
- type: ndcg_at_5
value: 42.074
- type: precision_at_1
value: 56.00000000000001
- type: precision_at_10
value: 45.4
- type: precision_at_100
value: 29.34
- type: precision_at_1000
value: 12.112
- type: precision_at_3
value: 49.333
- type: precision_at_5
value: 45.2
- type: recall_at_1
value: 0.127
- type: recall_at_10
value: 1.0739999999999998
- type: recall_at_100
value: 6.36
- type: recall_at_1000
value: 24.374000000000002
- type: recall_at_3
value: 0.372
- type: recall_at_5
value: 0.528
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.353
- type: map_at_10
value: 3.871
- type: map_at_100
value: 6.507000000000001
- type: map_at_1000
value: 7.982
- type: map_at_3
value: 2.249
- type: map_at_5
value: 3.0140000000000002
- type: mrr_at_1
value: 18.367
- type: mrr_at_10
value: 27.947
- type: mrr_at_100
value: 30.349999999999998
- type: mrr_at_1000
value: 30.372
- type: mrr_at_3
value: 23.469
- type: mrr_at_5
value: 26.429000000000002
- type: ndcg_at_1
value: 16.326999999999998
- type: ndcg_at_10
value: 11.886
- type: ndcg_at_100
value: 20.929000000000002
- type: ndcg_at_1000
value: 34.422999999999995
- type: ndcg_at_3
value: 12.806999999999999
- type: ndcg_at_5
value: 12.879999999999999
- type: precision_at_1
value: 18.367
- type: precision_at_10
value: 11.224
- type: precision_at_100
value: 5.061
- type: precision_at_1000
value: 1.341
- type: precision_at_3
value: 13.605
- type: precision_at_5
value: 13.877999999999998
- type: recall_at_1
value: 1.353
- type: recall_at_10
value: 7.654
- type: recall_at_100
value: 31.558000000000003
- type: recall_at_1000
value: 72.898
- type: recall_at_3
value: 2.964
- type: recall_at_5
value: 4.874
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 69.8528
- type: ap
value: 13.242246154786407
- type: f1
value: 53.36206582019686
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 52.292020373514426
- type: f1
value: 52.43359560180576
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 31.730793809823094
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.0826131012696
- type: cos_sim_ap
value: 58.927117152392015
- type: cos_sim_f1
value: 57.50386797318205
- type: cos_sim_precision
value: 56.227937468482104
- type: cos_sim_recall
value: 58.839050131926115
- type: dot_accuracy
value: 82.0826131012696
- type: dot_ap
value: 58.927117152392015
- type: dot_f1
value: 57.50386797318205
- type: dot_precision
value: 56.227937468482104
- type: dot_recall
value: 58.839050131926115
- type: euclidean_accuracy
value: 82.0826131012696
- type: euclidean_ap
value: 58.927117152392015
- type: euclidean_f1
value: 57.50386797318205
- type: euclidean_precision
value: 56.227937468482104
- type: euclidean_recall
value: 58.839050131926115
- type: manhattan_accuracy
value: 82.02300768909816
- type: manhattan_ap
value: 58.522165728999134
- type: manhattan_f1
value: 57.4462890625
- type: manhattan_precision
value: 53.45297592003635
- type: manhattan_recall
value: 62.0844327176781
- type: max_accuracy
value: 82.0826131012696
- type: max_ap
value: 58.927117152392015
- type: max_f1
value: 57.50386797318205
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 86.2459735320371
- type: cos_sim_ap
value: 78.90275828118249
- type: cos_sim_f1
value: 71.35335558027438
- type: cos_sim_precision
value: 68.81705049349162
- type: cos_sim_recall
value: 74.08376963350786
- type: dot_accuracy
value: 86.2459735320371
- type: dot_ap
value: 78.90275960892674
- type: dot_f1
value: 71.35335558027438
- type: dot_precision
value: 68.81705049349162
- type: dot_recall
value: 74.08376963350786
- type: euclidean_accuracy
value: 86.2459735320371
- type: euclidean_ap
value: 78.90275805900576
- type: euclidean_f1
value: 71.35335558027438
- type: euclidean_precision
value: 68.81705049349162
- type: euclidean_recall
value: 74.08376963350786
- type: manhattan_accuracy
value: 86.16835487251136
- type: manhattan_ap
value: 78.84683659402509
- type: manhattan_f1
value: 71.18720602069612
- type: manhattan_precision
value: 69.61801722234489
- type: manhattan_recall
value: 72.82876501385894
- type: max_accuracy
value: 86.2459735320371
- type: max_ap
value: 78.90275960892674
- type: max_f1
value: 71.35335558027438