metadata
tags:
- mteb
model-index:
- name: sent2vec_main_BERTtok_noPunct_normalise_True
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 78.41791044776119
- type: ap
value: 42.25569751541089
- type: f1
value: 72.43269265244831
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 61.3757
- type: ap
value: 57.04485974586232
- type: f1
value: 61.26466853396384
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 31.094
- type: f1
value: 30.785103843359906
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 19.772000000000002
- type: map_at_10
value: 33.863
- type: map_at_100
value: 35.071999999999996
- type: map_at_1000
value: 35.093
- type: map_at_3
value: 28.864
- type: map_at_5
value: 31.411
- type: mrr_at_1
value: 20.199
- type: mrr_at_10
value: 34.025
- type: mrr_at_100
value: 35.241
- type: mrr_at_1000
value: 35.263
- type: mrr_at_3
value: 29.03
- type: mrr_at_5
value: 31.545
- type: ndcg_at_1
value: 19.772000000000002
- type: ndcg_at_10
value: 42.408
- type: ndcg_at_100
value: 47.99
- type: ndcg_at_1000
value: 48.518
- type: ndcg_at_3
value: 31.861
- type: ndcg_at_5
value: 36.47
- type: precision_at_1
value: 19.772000000000002
- type: precision_at_10
value: 7.013
- type: precision_at_100
value: 0.955
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 13.514000000000001
- type: precision_at_5
value: 10.356
- type: recall_at_1
value: 19.772000000000002
- type: recall_at_10
value: 70.128
- type: recall_at_100
value: 95.519
- type: recall_at_1000
value: 99.57300000000001
- type: recall_at_3
value: 40.541
- type: recall_at_5
value: 51.778
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 39.88029972847573
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 30.428577037304606
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 50.47113867778671
- type: mrr
value: 63.90735610957216
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 62.29174670648191
- type: cos_sim_spearman
value: 59.27183247662248
- type: euclidean_pearson
value: 61.72118923273273
- type: euclidean_spearman
value: 59.27183247662248
- type: manhattan_pearson
value: 60.783892648092696
- type: manhattan_spearman
value: 58.722422367578986
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 67.82142857142858
- type: f1
value: 66.92102518619261
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 34.329773772744545
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 26.226220147948837
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 18.81
- type: map_at_10
value: 24.413
- type: map_at_100
value: 25.496000000000002
- type: map_at_1000
value: 25.635
- type: map_at_3
value: 22.616
- type: map_at_5
value: 23.613
- type: mrr_at_1
value: 24.177
- type: mrr_at_10
value: 29.407
- type: mrr_at_100
value: 30.322
- type: mrr_at_1000
value: 30.403999999999996
- type: mrr_at_3
value: 27.682000000000002
- type: mrr_at_5
value: 28.754999999999995
- type: ndcg_at_1
value: 24.177
- type: ndcg_at_10
value: 28.375
- type: ndcg_at_100
value: 33.412
- type: ndcg_at_1000
value: 36.735
- type: ndcg_at_3
value: 25.661
- type: ndcg_at_5
value: 26.844
- type: precision_at_1
value: 24.177
- type: precision_at_10
value: 5.222
- type: precision_at_100
value: 0.9570000000000001
- type: precision_at_1000
value: 0.157
- type: precision_at_3
value: 12.065
- type: precision_at_5
value: 8.555
- type: recall_at_1
value: 18.81
- type: recall_at_10
value: 35.197
- type: recall_at_100
value: 57.727
- type: recall_at_1000
value: 81.157
- type: recall_at_3
value: 26.354
- type: recall_at_5
value: 30.275999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 16.448
- type: map_at_10
value: 22.088
- type: map_at_100
value: 23.008
- type: map_at_1000
value: 23.132
- type: map_at_3
value: 20.455000000000002
- type: map_at_5
value: 21.254
- type: mrr_at_1
value: 21.337999999999997
- type: mrr_at_10
value: 26.791999999999998
- type: mrr_at_100
value: 27.528999999999996
- type: mrr_at_1000
value: 27.604
- type: mrr_at_3
value: 25.296999999999997
- type: mrr_at_5
value: 25.985000000000003
- type: ndcg_at_1
value: 21.337999999999997
- type: ndcg_at_10
value: 25.835
- type: ndcg_at_100
value: 29.959999999999997
- type: ndcg_at_1000
value: 32.927
- type: ndcg_at_3
value: 23.202
- type: ndcg_at_5
value: 24.126
- type: precision_at_1
value: 21.337999999999997
- type: precision_at_10
value: 4.8149999999999995
- type: precision_at_100
value: 0.886
- type: precision_at_1000
value: 0.13899999999999998
- type: precision_at_3
value: 11.274000000000001
- type: precision_at_5
value: 7.809000000000001
- type: recall_at_1
value: 16.448
- type: recall_at_10
value: 32.444
- type: recall_at_100
value: 50.44499999999999
- type: recall_at_1000
value: 71.193
- type: recall_at_3
value: 24.034
- type: recall_at_5
value: 26.950000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 24.152
- type: map_at_10
value: 31.480999999999998
- type: map_at_100
value: 32.454
- type: map_at_1000
value: 32.556000000000004
- type: map_at_3
value: 29.264000000000003
- type: map_at_5
value: 30.497999999999998
- type: mrr_at_1
value: 27.586
- type: mrr_at_10
value: 34.353
- type: mrr_at_100
value: 35.166
- type: mrr_at_1000
value: 35.237
- type: mrr_at_3
value: 32.226
- type: mrr_at_5
value: 33.527
- type: ndcg_at_1
value: 27.586
- type: ndcg_at_10
value: 35.782000000000004
- type: ndcg_at_100
value: 40.466
- type: ndcg_at_1000
value: 42.856
- type: ndcg_at_3
value: 31.627
- type: ndcg_at_5
value: 33.637
- type: precision_at_1
value: 27.586
- type: precision_at_10
value: 5.755
- type: precision_at_100
value: 0.8920000000000001
- type: precision_at_1000
value: 0.117
- type: precision_at_3
value: 13.898
- type: precision_at_5
value: 9.705
- type: recall_at_1
value: 24.152
- type: recall_at_10
value: 46.039
- type: recall_at_100
value: 67.241
- type: recall_at_1000
value: 84.48
- type: recall_at_3
value: 34.71
- type: recall_at_5
value: 39.667
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 9.925
- type: map_at_10
value: 13.233
- type: map_at_100
value: 13.937
- type: map_at_1000
value: 14.036000000000001
- type: map_at_3
value: 11.745
- type: map_at_5
value: 12.497
- type: mrr_at_1
value: 10.621
- type: mrr_at_10
value: 14.072999999999999
- type: mrr_at_100
value: 14.811
- type: mrr_at_1000
value: 14.901
- type: mrr_at_3
value: 12.617999999999999
- type: mrr_at_5
value: 13.358
- type: ndcg_at_1
value: 10.621
- type: ndcg_at_10
value: 15.537
- type: ndcg_at_100
value: 19.493
- type: ndcg_at_1000
value: 22.517
- type: ndcg_at_3
value: 12.533
- type: ndcg_at_5
value: 13.819999999999999
- type: precision_at_1
value: 10.621
- type: precision_at_10
value: 2.554
- type: precision_at_100
value: 0.479
- type: precision_at_1000
value: 0.078
- type: precision_at_3
value: 5.235
- type: precision_at_5
value: 3.91
- type: recall_at_1
value: 9.925
- type: recall_at_10
value: 21.977
- type: recall_at_100
value: 41.128
- type: recall_at_1000
value: 64.911
- type: recall_at_3
value: 13.861
- type: recall_at_5
value: 16.798
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 5.345
- type: map_at_10
value: 8.312
- type: map_at_100
value: 9.051
- type: map_at_1000
value: 9.171999999999999
- type: map_at_3
value: 7.148000000000001
- type: map_at_5
value: 7.837
- type: mrr_at_1
value: 7.463
- type: mrr_at_10
value: 10.921
- type: mrr_at_100
value: 11.677999999999999
- type: mrr_at_1000
value: 11.777
- type: mrr_at_3
value: 9.515
- type: mrr_at_5
value: 10.224
- type: ndcg_at_1
value: 7.463
- type: ndcg_at_10
value: 10.671999999999999
- type: ndcg_at_100
value: 14.802000000000001
- type: ndcg_at_1000
value: 18.385
- type: ndcg_at_3
value: 8.382000000000001
- type: ndcg_at_5
value: 9.467
- type: precision_at_1
value: 7.463
- type: precision_at_10
value: 2.214
- type: precision_at_100
value: 0.504
- type: precision_at_1000
value: 0.093
- type: precision_at_3
value: 4.312
- type: precision_at_5
value: 3.3329999999999997
- type: recall_at_1
value: 5.345
- type: recall_at_10
value: 15.528
- type: recall_at_100
value: 34.575
- type: recall_at_1000
value: 61.358999999999995
- type: recall_at_3
value: 9.207
- type: recall_at_5
value: 11.974
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.695
- type: map_at_10
value: 23.62
- type: map_at_100
value: 24.758
- type: map_at_1000
value: 24.893
- type: map_at_3
value: 21.747
- type: map_at_5
value: 22.701
- type: mrr_at_1
value: 22.425
- type: mrr_at_10
value: 27.628999999999998
- type: mrr_at_100
value: 28.603
- type: mrr_at_1000
value: 28.686
- type: mrr_at_3
value: 25.794
- type: mrr_at_5
value: 26.728
- type: ndcg_at_1
value: 22.425
- type: ndcg_at_10
value: 27.336
- type: ndcg_at_100
value: 33.155
- type: ndcg_at_1000
value: 36.335
- type: ndcg_at_3
value: 24.048
- type: ndcg_at_5
value: 25.4
- type: precision_at_1
value: 22.425
- type: precision_at_10
value: 4.841
- type: precision_at_100
value: 0.9209999999999999
- type: precision_at_1000
value: 0.13999999999999999
- type: precision_at_3
value: 10.876
- type: precision_at_5
value: 7.642
- type: recall_at_1
value: 18.695
- type: recall_at_10
value: 34.659
- type: recall_at_100
value: 60.94199999999999
- type: recall_at_1000
value: 83.005
- type: recall_at_3
value: 25.255
- type: recall_at_5
value: 28.882
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 13.322999999999999
- type: map_at_10
value: 17.906
- type: map_at_100
value: 18.986
- type: map_at_1000
value: 19.121
- type: map_at_3
value: 16.441
- type: map_at_5
value: 17.149
- type: mrr_at_1
value: 16.438
- type: mrr_at_10
value: 21.108
- type: mrr_at_100
value: 22.144
- type: mrr_at_1000
value: 22.235
- type: mrr_at_3
value: 19.73
- type: mrr_at_5
value: 20.358
- type: ndcg_at_1
value: 16.438
- type: ndcg_at_10
value: 20.952
- type: ndcg_at_100
value: 26.39
- type: ndcg_at_1000
value: 29.892999999999997
- type: ndcg_at_3
value: 18.374
- type: ndcg_at_5
value: 19.276
- type: precision_at_1
value: 16.438
- type: precision_at_10
value: 3.7670000000000003
- type: precision_at_100
value: 0.768
- type: precision_at_1000
value: 0.127
- type: precision_at_3
value: 8.676
- type: precision_at_5
value: 6.0729999999999995
- type: recall_at_1
value: 13.322999999999999
- type: recall_at_10
value: 27.127000000000002
- type: recall_at_100
value: 51.18899999999999
- type: recall_at_1000
value: 76.281
- type: recall_at_3
value: 19.84
- type: recall_at_5
value: 22.183
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 13.133333333333333
- type: map_at_10
value: 17.423833333333334
- type: map_at_100
value: 18.282916666666665
- type: map_at_1000
value: 18.404833333333336
- type: map_at_3
value: 15.924583333333336
- type: map_at_5
value: 16.736416666666663
- type: mrr_at_1
value: 15.967
- type: mrr_at_10
value: 20.30225
- type: mrr_at_100
value: 21.10133333333333
- type: mrr_at_1000
value: 21.189833333333333
- type: mrr_at_3
value: 18.80633333333333
- type: mrr_at_5
value: 19.632250000000003
- type: ndcg_at_1
value: 15.967
- type: ndcg_at_10
value: 20.442083333333333
- type: ndcg_at_100
value: 24.815083333333334
- type: ndcg_at_1000
value: 28.00433333333333
- type: ndcg_at_3
value: 17.737916666666667
- type: ndcg_at_5
value: 18.947750000000003
- type: precision_at_1
value: 15.967
- type: precision_at_10
value: 3.606833333333333
- type: precision_at_100
value: 0.6947500000000001
- type: precision_at_1000
value: 0.11408333333333331
- type: precision_at_3
value: 8.130083333333333
- type: precision_at_5
value: 5.840583333333333
- type: recall_at_1
value: 13.133333333333333
- type: recall_at_10
value: 26.80541666666667
- type: recall_at_100
value: 46.90025
- type: recall_at_1000
value: 70.29883333333335
- type: recall_at_3
value: 19.008583333333338
- type: recall_at_5
value: 22.206583333333338
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 9.577
- type: map_at_10
value: 13.016
- type: map_at_100
value: 13.746
- type: map_at_1000
value: 13.841999999999999
- type: map_at_3
value: 11.713999999999999
- type: map_at_5
value: 12.416
- type: mrr_at_1
value: 11.503
- type: mrr_at_10
value: 15.018
- type: mrr_at_100
value: 15.786
- type: mrr_at_1000
value: 15.870999999999999
- type: mrr_at_3
value: 13.855
- type: mrr_at_5
value: 14.438
- type: ndcg_at_1
value: 11.503
- type: ndcg_at_10
value: 15.464
- type: ndcg_at_100
value: 19.461000000000002
- type: ndcg_at_1000
value: 22.226000000000003
- type: ndcg_at_3
value: 13.092
- type: ndcg_at_5
value: 14.129
- type: precision_at_1
value: 11.503
- type: precision_at_10
value: 2.699
- type: precision_at_100
value: 0.505
- type: precision_at_1000
value: 0.08099999999999999
- type: precision_at_3
value: 5.982
- type: precision_at_5
value: 4.356
- type: recall_at_1
value: 9.577
- type: recall_at_10
value: 21.171
- type: recall_at_100
value: 40.012
- type: recall_at_1000
value: 61.024
- type: recall_at_3
value: 14.399000000000001
- type: recall_at_5
value: 17.101
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 6.856
- type: map_at_10
value: 9.584
- type: map_at_100
value: 10.174999999999999
- type: map_at_1000
value: 10.285
- type: map_at_3
value: 8.588
- type: map_at_5
value: 9.061
- type: mrr_at_1
value: 8.878
- type: mrr_at_10
value: 11.779
- type: mrr_at_100
value: 12.403
- type: mrr_at_1000
value: 12.494
- type: mrr_at_3
value: 10.742
- type: mrr_at_5
value: 11.258
- type: ndcg_at_1
value: 8.878
- type: ndcg_at_10
value: 11.703
- type: ndcg_at_100
value: 14.921999999999999
- type: ndcg_at_1000
value: 18.199
- type: ndcg_at_3
value: 9.838
- type: ndcg_at_5
value: 10.533
- type: precision_at_1
value: 8.878
- type: precision_at_10
value: 2.223
- type: precision_at_100
value: 0.466
- type: precision_at_1000
value: 0.09
- type: precision_at_3
value: 4.68
- type: precision_at_5
value: 3.4000000000000004
- type: recall_at_1
value: 6.856
- type: recall_at_10
value: 16.051000000000002
- type: recall_at_100
value: 31.025000000000002
- type: recall_at_1000
value: 55.723
- type: recall_at_3
value: 10.607999999999999
- type: recall_at_5
value: 12.492
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 11.244
- type: map_at_10
value: 14.343
- type: map_at_100
value: 15.042
- type: map_at_1000
value: 15.152
- type: map_at_3
value: 13.153
- type: map_at_5
value: 13.811000000000002
- type: mrr_at_1
value: 13.433
- type: mrr_at_10
value: 16.703000000000003
- type: mrr_at_100
value: 17.433
- type: mrr_at_1000
value: 17.531
- type: mrr_at_3
value: 15.454
- type: mrr_at_5
value: 16.191
- type: ndcg_at_1
value: 13.433
- type: ndcg_at_10
value: 16.704
- type: ndcg_at_100
value: 20.66
- type: ndcg_at_1000
value: 23.927
- type: ndcg_at_3
value: 14.454
- type: ndcg_at_5
value: 15.512999999999998
- type: precision_at_1
value: 13.433
- type: precision_at_10
value: 2.743
- type: precision_at_100
value: 0.53
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 6.436999999999999
- type: precision_at_5
value: 4.552
- type: recall_at_1
value: 11.244
- type: recall_at_10
value: 21.833
- type: recall_at_100
value: 40.5
- type: recall_at_1000
value: 64.981
- type: recall_at_3
value: 15.442
- type: recall_at_5
value: 18.264
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 14.008000000000001
- type: map_at_10
value: 18.439
- type: map_at_100
value: 19.403000000000002
- type: map_at_1000
value: 19.593
- type: map_at_3
value: 16.975
- type: map_at_5
value: 17.947
- type: mrr_at_1
value: 17.391000000000002
- type: mrr_at_10
value: 21.95
- type: mrr_at_100
value: 22.755
- type: mrr_at_1000
value: 22.852
- type: mrr_at_3
value: 20.224
- type: mrr_at_5
value: 21.459
- type: ndcg_at_1
value: 17.391000000000002
- type: ndcg_at_10
value: 21.795
- type: ndcg_at_100
value: 25.939
- type: ndcg_at_1000
value: 29.677
- type: ndcg_at_3
value: 19.309
- type: ndcg_at_5
value: 20.907
- type: precision_at_1
value: 17.391000000000002
- type: precision_at_10
value: 3.972
- type: precision_at_100
value: 0.9450000000000001
- type: precision_at_1000
value: 0.174
- type: precision_at_3
value: 8.827
- type: precision_at_5
value: 6.7589999999999995
- type: recall_at_1
value: 14.008000000000001
- type: recall_at_10
value: 27.717000000000002
- type: recall_at_100
value: 46.787
- type: recall_at_1000
value: 72.724
- type: recall_at_3
value: 20.179
- type: recall_at_5
value: 24.288999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 9.217
- type: map_at_10
value: 12.651000000000002
- type: map_at_100
value: 13.339
- type: map_at_1000
value: 13.441
- type: map_at_3
value: 11.249
- type: map_at_5
value: 12.052999999999999
- type: mrr_at_1
value: 10.351
- type: mrr_at_10
value: 13.894
- type: mrr_at_100
value: 14.585999999999999
- type: mrr_at_1000
value: 14.686
- type: mrr_at_3
value: 12.539
- type: mrr_at_5
value: 13.306000000000001
- type: ndcg_at_1
value: 10.351
- type: ndcg_at_10
value: 15.15
- type: ndcg_at_100
value: 19.121
- type: ndcg_at_1000
value: 22.375
- type: ndcg_at_3
value: 12.335
- type: ndcg_at_5
value: 13.721
- type: precision_at_1
value: 10.351
- type: precision_at_10
value: 2.477
- type: precision_at_100
value: 0.484
- type: precision_at_1000
value: 0.082
- type: precision_at_3
value: 5.299
- type: precision_at_5
value: 3.993
- type: recall_at_1
value: 9.217
- type: recall_at_10
value: 21.922
- type: recall_at_100
value: 41.232
- type: recall_at_1000
value: 66.74799999999999
- type: recall_at_3
value: 14.213999999999999
- type: recall_at_5
value: 17.602999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 7.405
- type: map_at_10
value: 13.173000000000002
- type: map_at_100
value: 14.824000000000002
- type: map_at_1000
value: 15.052
- type: map_at_3
value: 10.634
- type: map_at_5
value: 11.877
- type: mrr_at_1
value: 16.743
- type: mrr_at_10
value: 26.816000000000003
- type: mrr_at_100
value: 28.005000000000003
- type: mrr_at_1000
value: 28.064
- type: mrr_at_3
value: 23.344
- type: mrr_at_5
value: 25.324999999999996
- type: ndcg_at_1
value: 16.743
- type: ndcg_at_10
value: 19.874
- type: ndcg_at_100
value: 27.168999999999997
- type: ndcg_at_1000
value: 31.406
- type: ndcg_at_3
value: 15.219
- type: ndcg_at_5
value: 16.85
- type: precision_at_1
value: 16.743
- type: precision_at_10
value: 6.691
- type: precision_at_100
value: 1.4409999999999998
- type: precision_at_1000
value: 0.22100000000000003
- type: precision_at_3
value: 11.618
- type: precision_at_5
value: 9.42
- type: recall_at_1
value: 7.405
- type: recall_at_10
value: 25.295
- type: recall_at_100
value: 51.123
- type: recall_at_1000
value: 75.141
- type: recall_at_3
value: 14.14
- type: recall_at_5
value: 18.506
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 3.697
- type: map_at_10
value: 9.717
- type: map_at_100
value: 14.616999999999999
- type: map_at_1000
value: 15.794
- type: map_at_3
value: 6.671
- type: map_at_5
value: 7.9399999999999995
- type: mrr_at_1
value: 39.25
- type: mrr_at_10
value: 49.867
- type: mrr_at_100
value: 50.724000000000004
- type: mrr_at_1000
value: 50.747
- type: mrr_at_3
value: 47.583
- type: mrr_at_5
value: 49.083
- type: ndcg_at_1
value: 28.375
- type: ndcg_at_10
value: 24.157
- type: ndcg_at_100
value: 28.707
- type: ndcg_at_1000
value: 36.187999999999995
- type: ndcg_at_3
value: 26.237
- type: ndcg_at_5
value: 25.043
- type: precision_at_1
value: 39.25
- type: precision_at_10
value: 22.35
- type: precision_at_100
value: 7.580000000000001
- type: precision_at_1000
value: 1.559
- type: precision_at_3
value: 32.583
- type: precision_at_5
value: 28.449999999999996
- type: recall_at_1
value: 3.697
- type: recall_at_10
value: 14.566
- type: recall_at_100
value: 36.595
- type: recall_at_1000
value: 62.83
- type: recall_at_3
value: 8.268
- type: recall_at_5
value: 10.700999999999999
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 32.065
- type: f1
value: 29.16832120500216
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 15.042
- type: map_at_10
value: 23.017000000000003
- type: map_at_100
value: 24.038999999999998
- type: map_at_1000
value: 24.115000000000002
- type: map_at_3
value: 20.185
- type: map_at_5
value: 21.801000000000002
- type: mrr_at_1
value: 15.992
- type: mrr_at_10
value: 24.396
- type: mrr_at_100
value: 25.405
- type: mrr_at_1000
value: 25.47
- type: mrr_at_3
value: 21.45
- type: mrr_at_5
value: 23.13
- type: ndcg_at_1
value: 15.992
- type: ndcg_at_10
value: 28.060000000000002
- type: ndcg_at_100
value: 33.217
- type: ndcg_at_1000
value: 35.283
- type: ndcg_at_3
value: 22.198999999999998
- type: ndcg_at_5
value: 25.112000000000002
- type: precision_at_1
value: 15.992
- type: precision_at_10
value: 4.6370000000000005
- type: precision_at_100
value: 0.741
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 9.586
- type: precision_at_5
value: 7.2940000000000005
- type: recall_at_1
value: 15.042
- type: recall_at_10
value: 42.653
- type: recall_at_100
value: 66.649
- type: recall_at_1000
value: 82.531
- type: recall_at_3
value: 26.778999999999996
- type: recall_at_5
value: 33.728
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 6.313000000000001
- type: map_at_10
value: 10.087
- type: map_at_100
value: 11.245
- type: map_at_1000
value: 11.42
- type: map_at_3
value: 8.462
- type: map_at_5
value: 9.325
- type: mrr_at_1
value: 12.5
- type: mrr_at_10
value: 18.041
- type: mrr_at_100
value: 19.017999999999997
- type: mrr_at_1000
value: 19.124
- type: mrr_at_3
value: 15.972
- type: mrr_at_5
value: 17.122
- type: ndcg_at_1
value: 12.5
- type: ndcg_at_10
value: 14.165
- type: ndcg_at_100
value: 19.7
- type: ndcg_at_1000
value: 23.897
- type: ndcg_at_3
value: 11.66
- type: ndcg_at_5
value: 12.616
- type: precision_at_1
value: 12.5
- type: precision_at_10
value: 4.275
- type: precision_at_100
value: 0.972
- type: precision_at_1000
value: 0.168
- type: precision_at_3
value: 7.767
- type: precision_at_5
value: 6.389
- type: recall_at_1
value: 6.313000000000001
- type: recall_at_10
value: 18.147
- type: recall_at_100
value: 40.111000000000004
- type: recall_at_1000
value: 66.507
- type: recall_at_3
value: 10.617
- type: recall_at_5
value: 13.577
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 17.016000000000002
- type: map_at_10
value: 24.376
- type: map_at_100
value: 25.365
- type: map_at_1000
value: 25.485000000000003
- type: map_at_3
value: 22.288
- type: map_at_5
value: 23.432
- type: mrr_at_1
value: 34.031
- type: mrr_at_10
value: 41.53
- type: mrr_at_100
value: 42.28
- type: mrr_at_1000
value: 42.333
- type: mrr_at_3
value: 39.48
- type: mrr_at_5
value: 40.654
- type: ndcg_at_1
value: 34.031
- type: ndcg_at_10
value: 31.326999999999998
- type: ndcg_at_100
value: 35.845
- type: ndcg_at_1000
value: 38.635999999999996
- type: ndcg_at_3
value: 27.364
- type: ndcg_at_5
value: 29.284
- type: precision_at_1
value: 34.031
- type: precision_at_10
value: 7.005
- type: precision_at_100
value: 1.0619999999999998
- type: precision_at_1000
value: 0.14400000000000002
- type: precision_at_3
value: 17.385
- type: precision_at_5
value: 11.956999999999999
- type: recall_at_1
value: 17.016000000000002
- type: recall_at_10
value: 35.024
- type: recall_at_100
value: 53.113
- type: recall_at_1000
value: 71.776
- type: recall_at_3
value: 26.077
- type: recall_at_5
value: 29.892000000000003
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 59.41600000000001
- type: ap
value: 55.7436036225634
- type: f1
value: 59.054381876483475
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 4.468
- type: map_at_10
value: 7.446999999999999
- type: map_at_100
value: 8.178
- type: map_at_1000
value: 8.283
- type: map_at_3
value: 6.321000000000001
- type: map_at_5
value: 6.895
- type: mrr_at_1
value: 4.542
- type: mrr_at_10
value: 7.6240000000000006
- type: mrr_at_100
value: 8.361
- type: mrr_at_1000
value: 8.464
- type: mrr_at_3
value: 6.468
- type: mrr_at_5
value: 7.062
- type: ndcg_at_1
value: 4.542
- type: ndcg_at_10
value: 9.363000000000001
- type: ndcg_at_100
value: 13.533000000000001
- type: ndcg_at_1000
value: 16.775000000000002
- type: ndcg_at_3
value: 6.98
- type: ndcg_at_5
value: 8.02
- type: precision_at_1
value: 4.542
- type: precision_at_10
value: 1.599
- type: precision_at_100
value: 0.379
- type: precision_at_1000
value: 0.066
- type: precision_at_3
value: 3.004
- type: precision_at_5
value: 2.327
- type: recall_at_1
value: 4.468
- type: recall_at_10
value: 15.351999999999999
- type: recall_at_100
value: 36.035000000000004
- type: recall_at_1000
value: 62.18
- type: recall_at_3
value: 8.744
- type: recall_at_5
value: 11.242
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 87.19334245326037
- type: f1
value: 86.53113330755195
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 62.968536251709985
- type: f1
value: 41.745605561498856
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 58.725622057834556
- type: f1
value: 56.7455479326888
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 66.08271687962339
- type: f1
value: 64.50271836543025
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 29.29414331190791
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 25.743625453318558
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.22281471544121
- type: mrr
value: 30.160864819580873
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.392
- type: map_at_10
value: 7.062
- type: map_at_100
value: 9.11
- type: map_at_1000
value: 10.464
- type: map_at_3
value: 5.389
- type: map_at_5
value: 6.213
- type: mrr_at_1
value: 29.412
- type: mrr_at_10
value: 39.061
- type: mrr_at_100
value: 39.948
- type: mrr_at_1000
value: 39.993
- type: mrr_at_3
value: 35.759
- type: mrr_at_5
value: 38.127
- type: ndcg_at_1
value: 28.019
- type: ndcg_at_10
value: 22.771
- type: ndcg_at_100
value: 21.962
- type: ndcg_at_1000
value: 31.907999999999998
- type: ndcg_at_3
value: 25.093
- type: ndcg_at_5
value: 24.5
- type: precision_at_1
value: 29.412
- type: precision_at_10
value: 17.121
- type: precision_at_100
value: 6.279
- type: precision_at_1000
value: 1.9800000000000002
- type: precision_at_3
value: 23.529
- type: precision_at_5
value: 21.486
- type: recall_at_1
value: 3.392
- type: recall_at_10
value: 11.437
- type: recall_at_100
value: 25.005
- type: recall_at_1000
value: 59.95399999999999
- type: recall_at_3
value: 6.75
- type: recall_at_5
value: 8.891
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 8.077
- type: map_at_10
value: 14.743
- type: map_at_100
value: 16.127
- type: map_at_1000
value: 16.247
- type: map_at_3
value: 12.029
- type: map_at_5
value: 13.623
- type: mrr_at_1
value: 9.328
- type: mrr_at_10
value: 16.439
- type: mrr_at_100
value: 17.701
- type: mrr_at_1000
value: 17.799
- type: mrr_at_3
value: 13.62
- type: mrr_at_5
value: 15.290000000000001
- type: ndcg_at_1
value: 9.328
- type: ndcg_at_10
value: 19.331
- type: ndcg_at_100
value: 26.301000000000002
- type: ndcg_at_1000
value: 29.461
- type: ndcg_at_3
value: 13.761000000000001
- type: ndcg_at_5
value: 16.633
- type: precision_at_1
value: 9.328
- type: precision_at_10
value: 3.734
- type: precision_at_100
value: 0.77
- type: precision_at_1000
value: 0.107
- type: precision_at_3
value: 6.586
- type: precision_at_5
value: 5.521
- type: recall_at_1
value: 8.077
- type: recall_at_10
value: 32.007999999999996
- type: recall_at_100
value: 64.327
- type: recall_at_1000
value: 88.374
- type: recall_at_3
value: 17.277
- type: recall_at_5
value: 24.008
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 50.542
- type: map_at_10
value: 62.251999999999995
- type: map_at_100
value: 63.21
- type: map_at_1000
value: 63.260000000000005
- type: map_at_3
value: 59.134
- type: map_at_5
value: 60.965
- type: mrr_at_1
value: 58.13
- type: mrr_at_10
value: 66.899
- type: mrr_at_100
value: 67.36
- type: mrr_at_1000
value: 67.377
- type: mrr_at_3
value: 64.825
- type: mrr_at_5
value: 66.103
- type: ndcg_at_1
value: 58.13
- type: ndcg_at_10
value: 67.713
- type: ndcg_at_100
value: 71.039
- type: ndcg_at_1000
value: 71.84700000000001
- type: ndcg_at_3
value: 63.102000000000004
- type: ndcg_at_5
value: 65.416
- type: precision_at_1
value: 58.13
- type: precision_at_10
value: 10.504
- type: precision_at_100
value: 1.353
- type: precision_at_1000
value: 0.149
- type: precision_at_3
value: 27.439999999999998
- type: precision_at_5
value: 18.509999999999998
- type: recall_at_1
value: 50.542
- type: recall_at_10
value: 79.107
- type: recall_at_100
value: 92.632
- type: recall_at_1000
value: 97.84
- type: recall_at_3
value: 66.28500000000001
- type: recall_at_5
value: 72.342
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 40.637960737671726
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 45.03877757456517
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.563
- type: map_at_10
value: 6.265999999999999
- type: map_at_100
value: 7.577
- type: map_at_1000
value: 7.847999999999999
- type: map_at_3
value: 4.643
- type: map_at_5
value: 5.442
- type: mrr_at_1
value: 12.6
- type: mrr_at_10
value: 20.934
- type: mrr_at_100
value: 22.141
- type: mrr_at_1000
value: 22.23
- type: mrr_at_3
value: 18.3
- type: mrr_at_5
value: 19.759999999999998
- type: ndcg_at_1
value: 12.6
- type: ndcg_at_10
value: 11.494
- type: ndcg_at_100
value: 17.775
- type: ndcg_at_1000
value: 23.173
- type: ndcg_at_3
value: 10.905
- type: ndcg_at_5
value: 9.532
- type: precision_at_1
value: 12.6
- type: precision_at_10
value: 6.01
- type: precision_at_100
value: 1.528
- type: precision_at_1000
value: 0.28300000000000003
- type: precision_at_3
value: 10.366999999999999
- type: precision_at_5
value: 8.48
- type: recall_at_1
value: 2.563
- type: recall_at_10
value: 12.182
- type: recall_at_100
value: 31.038
- type: recall_at_1000
value: 57.56
- type: recall_at_3
value: 6.317
- type: recall_at_5
value: 8.597000000000001
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 70.97405006739949
- type: cos_sim_spearman
value: 63.227979902099165
- type: euclidean_pearson
value: 66.19721301612253
- type: euclidean_spearman
value: 63.22797557268851
- type: manhattan_pearson
value: 65.13067739221246
- type: manhattan_spearman
value: 62.606566921475135
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 61.8124029654452
- type: cos_sim_spearman
value: 54.20205145049397
- type: euclidean_pearson
value: 57.77673709166251
- type: euclidean_spearman
value: 54.20205145049397
- type: manhattan_pearson
value: 57.89405213238462
- type: manhattan_spearman
value: 54.629833623089596
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 64.32001417267017
- type: cos_sim_spearman
value: 65.6993785617677
- type: euclidean_pearson
value: 65.5446558919719
- type: euclidean_spearman
value: 65.6993785617677
- type: manhattan_pearson
value: 65.39435047355222
- type: manhattan_spearman
value: 65.47378838287605
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 68.92258658196903
- type: cos_sim_spearman
value: 65.99362560413196
- type: euclidean_pearson
value: 67.35844919653478
- type: euclidean_spearman
value: 65.99361325517108
- type: manhattan_pearson
value: 67.29865914012107
- type: manhattan_spearman
value: 65.98540675442793
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 76.94650869269346
- type: cos_sim_spearman
value: 77.15952881408424
- type: euclidean_pearson
value: 76.15238442977392
- type: euclidean_spearman
value: 77.15952881408424
- type: manhattan_pearson
value: 76.31567646432944
- type: manhattan_spearman
value: 77.57593105179275
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 69.51617147722006
- type: cos_sim_spearman
value: 69.92956219902182
- type: euclidean_pearson
value: 69.49066528233178
- type: euclidean_spearman
value: 69.92956219902182
- type: manhattan_pearson
value: 69.83632628879278
- type: manhattan_spearman
value: 70.34281119054346
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 82.36079159271515
- type: cos_sim_spearman
value: 83.14925676391923
- type: euclidean_pearson
value: 81.34579249878097
- type: euclidean_spearman
value: 83.14925676391923
- type: manhattan_pearson
value: 81.32200226343679
- type: manhattan_spearman
value: 83.0005721494159
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 63.64942893346429
- type: cos_sim_spearman
value: 61.84606669166541
- type: euclidean_pearson
value: 63.046912770456856
- type: euclidean_spearman
value: 61.84606669166541
- type: manhattan_pearson
value: 61.728865510770625
- type: manhattan_spearman
value: 60.03953122233777
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 71.3835068094255
- type: cos_sim_spearman
value: 68.66618434769194
- type: euclidean_pearson
value: 69.88526771287596
- type: euclidean_spearman
value: 68.66618434769194
- type: manhattan_pearson
value: 70.31797109978754
- type: manhattan_spearman
value: 69.14310993347732
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 71.69868794851263
- type: mrr
value: 90.33154572370259
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 28.028
- type: map_at_10
value: 35.251
- type: map_at_100
value: 36.258
- type: map_at_1000
value: 36.361
- type: map_at_3
value: 32.634
- type: map_at_5
value: 34.251
- type: mrr_at_1
value: 29.666999999999998
- type: mrr_at_10
value: 36.565
- type: mrr_at_100
value: 37.438
- type: mrr_at_1000
value: 37.527
- type: mrr_at_3
value: 34.111000000000004
- type: mrr_at_5
value: 35.644
- type: ndcg_at_1
value: 29.666999999999998
- type: ndcg_at_10
value: 39.405
- type: ndcg_at_100
value: 44.574999999999996
- type: ndcg_at_1000
value: 47.15
- type: ndcg_at_3
value: 34.416000000000004
- type: ndcg_at_5
value: 37.178
- type: precision_at_1
value: 29.666999999999998
- type: precision_at_10
value: 5.7
- type: precision_at_100
value: 0.853
- type: precision_at_1000
value: 0.108
- type: precision_at_3
value: 13.778000000000002
- type: precision_at_5
value: 9.733
- type: recall_at_1
value: 28.028
- type: recall_at_10
value: 51
- type: recall_at_100
value: 75.922
- type: recall_at_1000
value: 95.767
- type: recall_at_3
value: 37.917
- type: recall_at_5
value: 44.611000000000004
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.4881188118812
- type: cos_sim_ap
value: 76.35350792016202
- type: cos_sim_f1
value: 71.3097713097713
- type: cos_sim_precision
value: 74.24242424242425
- type: cos_sim_recall
value: 68.60000000000001
- type: dot_accuracy
value: 99.4881188118812
- type: dot_ap
value: 76.35352166019477
- type: dot_f1
value: 71.3097713097713
- type: dot_precision
value: 74.24242424242425
- type: dot_recall
value: 68.60000000000001
- type: euclidean_accuracy
value: 99.4881188118812
- type: euclidean_ap
value: 76.35352166019477
- type: euclidean_f1
value: 71.3097713097713
- type: euclidean_precision
value: 74.24242424242425
- type: euclidean_recall
value: 68.60000000000001
- type: manhattan_accuracy
value: 99.52772277227723
- type: manhattan_ap
value: 78.50333575922221
- type: manhattan_f1
value: 73.3549083063646
- type: manhattan_precision
value: 79.62529274004683
- type: manhattan_recall
value: 68
- type: max_accuracy
value: 99.52772277227723
- type: max_ap
value: 78.50333575922221
- type: max_f1
value: 73.3549083063646
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 40.941911761240355
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 27.824455223894702
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 38.3470566823082
- type: mrr
value: 38.32813428401664
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.049953404273477
- type: cos_sim_spearman
value: 29.804596105979087
- type: dot_pearson
value: 29.049953900699947
- type: dot_spearman
value: 29.804596105979087
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.13
- type: map_at_10
value: 0.735
- type: map_at_100
value: 4.331
- type: map_at_1000
value: 11.176
- type: map_at_3
value: 0.295
- type: map_at_5
value: 0.42
- type: mrr_at_1
value: 54
- type: mrr_at_10
value: 65.96
- type: mrr_at_100
value: 66.31
- type: mrr_at_1000
value: 66.31
- type: mrr_at_3
value: 62.333000000000006
- type: mrr_at_5
value: 64.133
- type: ndcg_at_1
value: 46
- type: ndcg_at_10
value: 41.13
- type: ndcg_at_100
value: 32.284
- type: ndcg_at_1000
value: 30.653999999999996
- type: ndcg_at_3
value: 43.531
- type: ndcg_at_5
value: 41.765
- type: precision_at_1
value: 54
- type: precision_at_10
value: 44.6
- type: precision_at_100
value: 34.48
- type: precision_at_1000
value: 15.092
- type: precision_at_3
value: 48
- type: precision_at_5
value: 44.4
- type: recall_at_1
value: 0.13
- type: recall_at_10
value: 1.0070000000000001
- type: recall_at_100
value: 7.5520000000000005
- type: recall_at_1000
value: 30.467
- type: recall_at_3
value: 0.335
- type: recall_at_5
value: 0.492
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.654
- type: map_at_10
value: 7.806
- type: map_at_100
value: 14.004
- type: map_at_1000
value: 15.620000000000001
- type: map_at_3
value: 3.2419999999999995
- type: map_at_5
value: 5.337
- type: mrr_at_1
value: 26.531
- type: mrr_at_10
value: 39.849000000000004
- type: mrr_at_100
value: 40.943000000000005
- type: mrr_at_1000
value: 40.961999999999996
- type: mrr_at_3
value: 34.694
- type: mrr_at_5
value: 38.673
- type: ndcg_at_1
value: 24.490000000000002
- type: ndcg_at_10
value: 22.093
- type: ndcg_at_100
value: 36.111
- type: ndcg_at_1000
value: 47.046
- type: ndcg_at_3
value: 21.179000000000002
- type: ndcg_at_5
value: 23.285
- type: precision_at_1
value: 26.531
- type: precision_at_10
value: 21.429000000000002
- type: precision_at_100
value: 8.49
- type: precision_at_1000
value: 1.5630000000000002
- type: precision_at_3
value: 21.769
- type: precision_at_5
value: 25.714
- type: recall_at_1
value: 1.654
- type: recall_at_10
value: 15.341
- type: recall_at_100
value: 50.41
- type: recall_at_1000
value: 85.14
- type: recall_at_3
value: 4.338
- type: recall_at_5
value: 8.687000000000001
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 67.91439999999999
- type: ap
value: 12.410354705209787
- type: f1
value: 51.88512351191456
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 47.5410299943407
- type: f1
value: 47.58958023479498
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 35.5181314197037
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 81.85611253501818
- type: cos_sim_ap
value: 58.113125405453545
- type: cos_sim_f1
value: 55.672823218997344
- type: cos_sim_precision
value: 51.033421284080916
- type: cos_sim_recall
value: 61.24010554089709
- type: dot_accuracy
value: 81.85611253501818
- type: dot_ap
value: 58.11310241068986
- type: dot_f1
value: 55.672823218997344
- type: dot_precision
value: 51.033421284080916
- type: dot_recall
value: 61.24010554089709
- type: euclidean_accuracy
value: 81.85611253501818
- type: euclidean_ap
value: 58.1131071609323
- type: euclidean_f1
value: 55.672823218997344
- type: euclidean_precision
value: 51.033421284080916
- type: euclidean_recall
value: 61.24010554089709
- type: manhattan_accuracy
value: 81.65345413363534
- type: manhattan_ap
value: 57.10449344464378
- type: manhattan_f1
value: 54.28008803428703
- type: manhattan_precision
value: 48.37910386124303
- type: manhattan_recall
value: 61.82058047493404
- type: max_accuracy
value: 81.85611253501818
- type: max_ap
value: 58.113125405453545
- type: max_f1
value: 55.672823218997344
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.07843365545077
- type: cos_sim_ap
value: 81.68445531153804
- type: cos_sim_f1
value: 74.29516577700925
- type: cos_sim_precision
value: 72.58704275011017
- type: cos_sim_recall
value: 76.08561749307053
- type: dot_accuracy
value: 87.07843365545077
- type: dot_ap
value: 81.6844546424336
- type: dot_f1
value: 74.29516577700925
- type: dot_precision
value: 72.58704275011017
- type: dot_recall
value: 76.08561749307053
- type: euclidean_accuracy
value: 87.07843365545077
- type: euclidean_ap
value: 81.6844533865009
- type: euclidean_f1
value: 74.29516577700925
- type: euclidean_precision
value: 72.58704275011017
- type: euclidean_recall
value: 76.08561749307053
- type: manhattan_accuracy
value: 87.01633872783017
- type: manhattan_ap
value: 81.4619306223648
- type: manhattan_f1
value: 74.21754285098278
- type: manhattan_precision
value: 69.58425982076679
- type: manhattan_recall
value: 79.51185709886049
- type: max_accuracy
value: 87.07843365545077
- type: max_ap
value: 81.68445531153804
- type: max_f1
value: 74.29516577700925