metadata
tags:
- mteb
model-index:
- name: llama3_STSprompt_nobivec_new
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 77.73134328358209
- type: ap
value: 40.991048937507344
- type: f1
value: 71.56836145374325
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 59.50412500000001
- type: ap
value: 55.880175099615826
- type: f1
value: 59.12104338694791
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 31.682
- type: f1
value: 31.507656848788102
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 21.124000000000002
- type: map_at_10
value: 35.933
- type: map_at_100
value: 37.19
- type: map_at_1000
value: 37.204
- type: map_at_3
value: 30.819999999999997
- type: map_at_5
value: 33.633
- type: mrr_at_1
value: 21.55
- type: mrr_at_10
value: 36.098
- type: mrr_at_100
value: 37.354
- type: mrr_at_1000
value: 37.368
- type: mrr_at_3
value: 30.986000000000004
- type: mrr_at_5
value: 33.81
- type: ndcg_at_1
value: 21.124000000000002
- type: ndcg_at_10
value: 44.673
- type: ndcg_at_100
value: 50.092000000000006
- type: ndcg_at_1000
value: 50.458999999999996
- type: ndcg_at_3
value: 34.06
- type: ndcg_at_5
value: 39.158
- type: precision_at_1
value: 21.124000000000002
- type: precision_at_10
value: 7.283
- type: precision_at_100
value: 0.967
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 14.485999999999999
- type: precision_at_5
value: 11.181000000000001
- type: recall_at_1
value: 21.124000000000002
- type: recall_at_10
value: 72.831
- type: recall_at_100
value: 96.65700000000001
- type: recall_at_1000
value: 99.502
- type: recall_at_3
value: 43.457
- type: recall_at_5
value: 55.903000000000006
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 34.5391863685645
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 24.002944353611184
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 54.45958206069036
- type: mrr
value: 68.41786483753242
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 80.54885689775618
- type: cos_sim_spearman
value: 79.60422347478777
- type: euclidean_pearson
value: 79.13541395503142
- type: euclidean_spearman
value: 79.60422347478777
- type: manhattan_pearson
value: 76.51179618256926
- type: manhattan_spearman
value: 77.13489010091797
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 72.92207792207792
- type: f1
value: 72.28356736354407
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 32.32856318604643
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 23.020127646819724
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 21.7
- type: map_at_10
value: 28.768
- type: map_at_100
value: 30.085
- type: map_at_1000
value: 30.241
- type: map_at_3
value: 26.506
- type: map_at_5
value: 27.729
- type: mrr_at_1
value: 27.467999999999996
- type: mrr_at_10
value: 34.551
- type: mrr_at_100
value: 35.431000000000004
- type: mrr_at_1000
value: 35.504000000000005
- type: mrr_at_3
value: 32.523
- type: mrr_at_5
value: 33.631
- type: ndcg_at_1
value: 27.467999999999996
- type: ndcg_at_10
value: 33.595000000000006
- type: ndcg_at_100
value: 39.168
- type: ndcg_at_1000
value: 42.285000000000004
- type: ndcg_at_3
value: 30.246000000000002
- type: ndcg_at_5
value: 31.584
- type: precision_at_1
value: 27.467999999999996
- type: precision_at_10
value: 6.494999999999999
- type: precision_at_100
value: 1.149
- type: precision_at_1000
value: 0.173
- type: precision_at_3
value: 14.783
- type: precision_at_5
value: 10.644
- type: recall_at_1
value: 21.7
- type: recall_at_10
value: 41.736000000000004
- type: recall_at_100
value: 66.78500000000001
- type: recall_at_1000
value: 88.045
- type: recall_at_3
value: 30.974
- type: recall_at_5
value: 35.25
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 18.794
- type: map_at_10
value: 25.889
- type: map_at_100
value: 26.934
- type: map_at_1000
value: 27.057
- type: map_at_3
value: 23.796
- type: map_at_5
value: 24.872
- type: mrr_at_1
value: 23.822
- type: mrr_at_10
value: 30.304
- type: mrr_at_100
value: 31.142999999999997
- type: mrr_at_1000
value: 31.208999999999996
- type: mrr_at_3
value: 28.408
- type: mrr_at_5
value: 29.343999999999998
- type: ndcg_at_1
value: 23.822
- type: ndcg_at_10
value: 30.207
- type: ndcg_at_100
value: 34.870000000000005
- type: ndcg_at_1000
value: 37.586000000000006
- type: ndcg_at_3
value: 26.761000000000003
- type: ndcg_at_5
value: 28.115000000000002
- type: precision_at_1
value: 23.822
- type: precision_at_10
value: 5.624
- type: precision_at_100
value: 1.0030000000000001
- type: precision_at_1000
value: 0.15
- type: precision_at_3
value: 13.036
- type: precision_at_5
value: 9.057
- type: recall_at_1
value: 18.794
- type: recall_at_10
value: 38.734
- type: recall_at_100
value: 58.855000000000004
- type: recall_at_1000
value: 77.199
- type: recall_at_3
value: 28.469
- type: recall_at_5
value: 32.484
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 26.953
- type: map_at_10
value: 35.815000000000005
- type: map_at_100
value: 36.919999999999995
- type: map_at_1000
value: 37.014
- type: map_at_3
value: 33.273
- type: map_at_5
value: 34.816
- type: mrr_at_1
value: 31.285
- type: mrr_at_10
value: 38.952
- type: mrr_at_100
value: 39.896
- type: mrr_at_1000
value: 39.952
- type: mrr_at_3
value: 36.698
- type: mrr_at_5
value: 38.04
- type: ndcg_at_1
value: 31.285
- type: ndcg_at_10
value: 40.521
- type: ndcg_at_100
value: 45.85
- type: ndcg_at_1000
value: 47.947
- type: ndcg_at_3
value: 35.931999999999995
- type: ndcg_at_5
value: 38.314
- type: precision_at_1
value: 31.285
- type: precision_at_10
value: 6.52
- type: precision_at_100
value: 1.009
- type: precision_at_1000
value: 0.126
- type: precision_at_3
value: 15.987000000000002
- type: precision_at_5
value: 11.172
- type: recall_at_1
value: 26.953
- type: recall_at_10
value: 51.715999999999994
- type: recall_at_100
value: 75.952
- type: recall_at_1000
value: 90.974
- type: recall_at_3
value: 39.291
- type: recall_at_5
value: 45.26
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 13.239
- type: map_at_10
value: 18.221999999999998
- type: map_at_100
value: 19.057
- type: map_at_1000
value: 19.171
- type: map_at_3
value: 17.026
- type: map_at_5
value: 17.544
- type: mrr_at_1
value: 14.463000000000001
- type: mrr_at_10
value: 19.444
- type: mrr_at_100
value: 20.288
- type: mrr_at_1000
value: 20.388
- type: mrr_at_3
value: 18.267
- type: mrr_at_5
value: 18.844
- type: ndcg_at_1
value: 14.463000000000001
- type: ndcg_at_10
value: 20.947
- type: ndcg_at_100
value: 25.552000000000003
- type: ndcg_at_1000
value: 29.042
- type: ndcg_at_3
value: 18.492
- type: ndcg_at_5
value: 19.423000000000002
- type: precision_at_1
value: 14.463000000000001
- type: precision_at_10
value: 3.198
- type: precision_at_100
value: 0.586
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 7.872
- type: precision_at_5
value: 5.288
- type: recall_at_1
value: 13.239
- type: recall_at_10
value: 28.169
- type: recall_at_100
value: 50.135
- type: recall_at_1000
value: 77.538
- type: recall_at_3
value: 21.379
- type: recall_at_5
value: 23.648
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 7.5649999999999995
- type: map_at_10
value: 11.068999999999999
- type: map_at_100
value: 12.096
- type: map_at_1000
value: 12.224
- type: map_at_3
value: 9.917
- type: map_at_5
value: 10.549
- type: mrr_at_1
value: 9.950000000000001
- type: mrr_at_10
value: 13.816999999999998
- type: mrr_at_100
value: 14.854999999999999
- type: mrr_at_1000
value: 14.951999999999998
- type: mrr_at_3
value: 12.459000000000001
- type: mrr_at_5
value: 13.174
- type: ndcg_at_1
value: 9.950000000000001
- type: ndcg_at_10
value: 13.605
- type: ndcg_at_100
value: 18.95
- type: ndcg_at_1000
value: 22.583000000000002
- type: ndcg_at_3
value: 11.37
- type: ndcg_at_5
value: 12.354999999999999
- type: precision_at_1
value: 9.950000000000001
- type: precision_at_10
value: 2.587
- type: precision_at_100
value: 0.627
- type: precision_at_1000
value: 0.107
- type: precision_at_3
value: 5.638
- type: precision_at_5
value: 4.055000000000001
- type: recall_at_1
value: 7.5649999999999995
- type: recall_at_10
value: 18.816
- type: recall_at_100
value: 42.753
- type: recall_at_1000
value: 69.678
- type: recall_at_3
value: 12.515
- type: recall_at_5
value: 15.082999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.793000000000003
- type: map_at_10
value: 24.906
- type: map_at_100
value: 26.172
- type: map_at_1000
value: 26.319
- type: map_at_3
value: 22.85
- type: map_at_5
value: 23.973
- type: mrr_at_1
value: 23.003
- type: mrr_at_10
value: 29.49
- type: mrr_at_100
value: 30.476
- type: mrr_at_1000
value: 30.564000000000004
- type: mrr_at_3
value: 27.413999999999998
- type: mrr_at_5
value: 28.544999999999998
- type: ndcg_at_1
value: 23.003
- type: ndcg_at_10
value: 29.153000000000002
- type: ndcg_at_100
value: 35.071999999999996
- type: ndcg_at_1000
value: 38.432
- type: ndcg_at_3
value: 25.643
- type: ndcg_at_5
value: 27.234
- type: precision_at_1
value: 23.003
- type: precision_at_10
value: 5.322
- type: precision_at_100
value: 0.98
- type: precision_at_1000
value: 0.145
- type: precision_at_3
value: 11.87
- type: precision_at_5
value: 8.508000000000001
- type: recall_at_1
value: 18.793000000000003
- type: recall_at_10
value: 37.342
- type: recall_at_100
value: 63.199000000000005
- type: recall_at_1000
value: 86.86500000000001
- type: recall_at_3
value: 27.276
- type: recall_at_5
value: 31.517
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 14.824000000000002
- type: map_at_10
value: 21.008
- type: map_at_100
value: 22.095000000000002
- type: map_at_1000
value: 22.235
- type: map_at_3
value: 18.725
- type: map_at_5
value: 20.058999999999997
- type: mrr_at_1
value: 18.493000000000002
- type: mrr_at_10
value: 24.820999999999998
- type: mrr_at_100
value: 25.727
- type: mrr_at_1000
value: 25.818
- type: mrr_at_3
value: 22.564999999999998
- type: mrr_at_5
value: 23.986
- type: ndcg_at_1
value: 18.493000000000002
- type: ndcg_at_10
value: 25.207
- type: ndcg_at_100
value: 30.558000000000003
- type: ndcg_at_1000
value: 33.946
- type: ndcg_at_3
value: 21.129
- type: ndcg_at_5
value: 23.182
- type: precision_at_1
value: 18.493000000000002
- type: precision_at_10
value: 4.829
- type: precision_at_100
value: 0.901
- type: precision_at_1000
value: 0.13699999999999998
- type: precision_at_3
value: 10.16
- type: precision_at_5
value: 7.739999999999999
- type: recall_at_1
value: 14.824000000000002
- type: recall_at_10
value: 34.172999999999995
- type: recall_at_100
value: 57.69800000000001
- type: recall_at_1000
value: 81.938
- type: recall_at_3
value: 22.773
- type: recall_at_5
value: 28.029
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 15.413833333333333
- type: map_at_10
value: 20.870750000000005
- type: map_at_100
value: 21.866833333333332
- type: map_at_1000
value: 21.999583333333334
- type: map_at_3
value: 19.127083333333335
- type: map_at_5
value: 20.056583333333332
- type: mrr_at_1
value: 18.593083333333333
- type: mrr_at_10
value: 24.05158333333333
- type: mrr_at_100
value: 24.926416666666668
- type: mrr_at_1000
value: 25.01416666666667
- type: mrr_at_3
value: 22.36258333333334
- type: mrr_at_5
value: 23.260666666666662
- type: ndcg_at_1
value: 18.593083333333333
- type: ndcg_at_10
value: 24.449333333333335
- type: ndcg_at_100
value: 29.336250000000003
- type: ndcg_at_1000
value: 32.577416666666664
- type: ndcg_at_3
value: 21.358916666666666
- type: ndcg_at_5
value: 22.688416666666665
- type: precision_at_1
value: 18.593083333333333
- type: precision_at_10
value: 4.351166666666667
- type: precision_at_100
value: 0.81525
- type: precision_at_1000
value: 0.12766666666666665
- type: precision_at_3
value: 9.9055
- type: precision_at_5
value: 7.023833333333333
- type: recall_at_1
value: 15.413833333333333
- type: recall_at_10
value: 32.02225
- type: recall_at_100
value: 54.323083333333344
- type: recall_at_1000
value: 77.91749999999999
- type: recall_at_3
value: 23.088250000000006
- type: recall_at_5
value: 26.674666666666663
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 11.532
- type: map_at_10
value: 16.082
- type: map_at_100
value: 16.891000000000002
- type: map_at_1000
value: 16.988
- type: map_at_3
value: 14.499999999999998
- type: map_at_5
value: 15.318000000000001
- type: mrr_at_1
value: 13.497
- type: mrr_at_10
value: 18.002000000000002
- type: mrr_at_100
value: 18.833
- type: mrr_at_1000
value: 18.915000000000003
- type: mrr_at_3
value: 16.512999999999998
- type: mrr_at_5
value: 17.211000000000002
- type: ndcg_at_1
value: 13.497
- type: ndcg_at_10
value: 19.031000000000002
- type: ndcg_at_100
value: 23.469
- type: ndcg_at_1000
value: 26.192999999999998
- type: ndcg_at_3
value: 16.083
- type: ndcg_at_5
value: 17.294999999999998
- type: precision_at_1
value: 13.497
- type: precision_at_10
value: 3.328
- type: precision_at_100
value: 0.607
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 7.26
- type: precision_at_5
value: 5.122999999999999
- type: recall_at_1
value: 11.532
- type: recall_at_10
value: 26.212999999999997
- type: recall_at_100
value: 47.099999999999994
- type: recall_at_1000
value: 67.753
- type: recall_at_3
value: 18.053
- type: recall_at_5
value: 21.173000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 8.117
- type: map_at_10
value: 11.779
- type: map_at_100
value: 12.393
- type: map_at_1000
value: 12.524
- type: map_at_3
value: 10.56
- type: map_at_5
value: 11.24
- type: mrr_at_1
value: 10.116999999999999
- type: mrr_at_10
value: 14.194
- type: mrr_at_100
value: 14.813
- type: mrr_at_1000
value: 14.918000000000001
- type: mrr_at_3
value: 12.91
- type: mrr_at_5
value: 13.619
- type: ndcg_at_1
value: 10.116999999999999
- type: ndcg_at_10
value: 14.371999999999998
- type: ndcg_at_100
value: 17.809
- type: ndcg_at_1000
value: 21.55
- type: ndcg_at_3
value: 12.145999999999999
- type: ndcg_at_5
value: 13.152
- type: precision_at_1
value: 10.116999999999999
- type: precision_at_10
value: 2.715
- type: precision_at_100
value: 0.532
- type: precision_at_1000
value: 0.10200000000000001
- type: precision_at_3
value: 5.942
- type: precision_at_5
value: 4.315
- type: recall_at_1
value: 8.117
- type: recall_at_10
value: 19.831
- type: recall_at_100
value: 36.102000000000004
- type: recall_at_1000
value: 63.995000000000005
- type: recall_at_3
value: 13.453000000000001
- type: recall_at_5
value: 16.124
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 15.189
- type: map_at_10
value: 19.126
- type: map_at_100
value: 19.979
- type: map_at_1000
value: 20.1
- type: map_at_3
value: 17.517
- type: map_at_5
value: 18.305
- type: mrr_at_1
value: 17.724
- type: mrr_at_10
value: 22.094
- type: mrr_at_100
value: 22.893
- type: mrr_at_1000
value: 22.992
- type: mrr_at_3
value: 20.445
- type: mrr_at_5
value: 21.266
- type: ndcg_at_1
value: 17.724
- type: ndcg_at_10
value: 22.29
- type: ndcg_at_100
value: 26.739
- type: ndcg_at_1000
value: 30.196
- type: ndcg_at_3
value: 19.073999999999998
- type: ndcg_at_5
value: 20.341
- type: precision_at_1
value: 17.724
- type: precision_at_10
value: 3.675
- type: precision_at_100
value: 0.66
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 8.333
- type: precision_at_5
value: 5.858
- type: recall_at_1
value: 15.189
- type: recall_at_10
value: 29.352
- type: recall_at_100
value: 49.612
- type: recall_at_1000
value: 75.41799999999999
- type: recall_at_3
value: 20.29
- type: recall_at_5
value: 23.529
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 16.664
- type: map_at_10
value: 22.093
- type: map_at_100
value: 23.288
- type: map_at_1000
value: 23.515
- type: map_at_3
value: 20.44
- type: map_at_5
value: 21.322
- type: mrr_at_1
value: 20.355999999999998
- type: mrr_at_10
value: 25.775
- type: mrr_at_100
value: 26.779999999999998
- type: mrr_at_1000
value: 26.874
- type: mrr_at_3
value: 24.407
- type: mrr_at_5
value: 25.079
- type: ndcg_at_1
value: 20.355999999999998
- type: ndcg_at_10
value: 26.054
- type: ndcg_at_100
value: 31.191000000000003
- type: ndcg_at_1000
value: 34.936
- type: ndcg_at_3
value: 23.758000000000003
- type: ndcg_at_5
value: 24.626
- type: precision_at_1
value: 20.355999999999998
- type: precision_at_10
value: 5
- type: precision_at_100
value: 1.1780000000000002
- type: precision_at_1000
value: 0.209
- type: precision_at_3
value: 11.331
- type: precision_at_5
value: 7.904999999999999
- type: recall_at_1
value: 16.664
- type: recall_at_10
value: 32.652
- type: recall_at_100
value: 57.050999999999995
- type: recall_at_1000
value: 82.563
- type: recall_at_3
value: 24.613
- type: recall_at_5
value: 27.685
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 11.596
- type: map_at_10
value: 15.692
- type: map_at_100
value: 16.492
- type: map_at_1000
value: 16.607
- type: map_at_3
value: 14.415
- type: map_at_5
value: 14.951999999999998
- type: mrr_at_1
value: 12.939
- type: mrr_at_10
value: 17.175
- type: mrr_at_100
value: 17.982
- type: mrr_at_1000
value: 18.084
- type: mrr_at_3
value: 15.742
- type: mrr_at_5
value: 16.389
- type: ndcg_at_1
value: 12.939
- type: ndcg_at_10
value: 18.41
- type: ndcg_at_100
value: 22.807
- type: ndcg_at_1000
value: 26.233
- type: ndcg_at_3
value: 15.673
- type: ndcg_at_5
value: 16.64
- type: precision_at_1
value: 12.939
- type: precision_at_10
value: 2.921
- type: precision_at_100
value: 0.551
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 6.654
- type: precision_at_5
value: 4.621
- type: recall_at_1
value: 11.596
- type: recall_at_10
value: 25.533
- type: recall_at_100
value: 46.635
- type: recall_at_1000
value: 73.044
- type: recall_at_3
value: 17.973
- type: recall_at_5
value: 20.314
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.6530000000000005
- type: map_at_10
value: 11.486
- type: map_at_100
value: 12.947000000000001
- type: map_at_1000
value: 13.153
- type: map_at_3
value: 9.381
- type: map_at_5
value: 10.39
- type: mrr_at_1
value: 15.179
- type: mrr_at_10
value: 23.862
- type: mrr_at_100
value: 25.05
- type: mrr_at_1000
value: 25.115
- type: mrr_at_3
value: 20.749000000000002
- type: mrr_at_5
value: 22.384
- type: ndcg_at_1
value: 15.179
- type: ndcg_at_10
value: 17.396
- type: ndcg_at_100
value: 24.044999999999998
- type: ndcg_at_1000
value: 28.227999999999998
- type: ndcg_at_3
value: 13.406
- type: ndcg_at_5
value: 14.71
- type: precision_at_1
value: 15.179
- type: precision_at_10
value: 5.739
- type: precision_at_100
value: 1.272
- type: precision_at_1000
value: 0.203
- type: precision_at_3
value: 10.054
- type: precision_at_5
value: 8.052
- type: recall_at_1
value: 6.6530000000000005
- type: recall_at_10
value: 22.187
- type: recall_at_100
value: 45.573
- type: recall_at_1000
value: 69.735
- type: recall_at_3
value: 12.461
- type: recall_at_5
value: 15.995999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 4.952999999999999
- type: map_at_10
value: 10.34
- type: map_at_100
value: 14.613000000000001
- type: map_at_1000
value: 15.58
- type: map_at_3
value: 7.297
- type: map_at_5
value: 8.633000000000001
- type: mrr_at_1
value: 43.25
- type: mrr_at_10
value: 51.891
- type: mrr_at_100
value: 52.637
- type: mrr_at_1000
value: 52.676
- type: mrr_at_3
value: 49.5
- type: mrr_at_5
value: 50.875
- type: ndcg_at_1
value: 31.624999999999996
- type: ndcg_at_10
value: 24.095
- type: ndcg_at_100
value: 27.895999999999997
- type: ndcg_at_1000
value: 34.807
- type: ndcg_at_3
value: 26.787
- type: ndcg_at_5
value: 25.389
- type: precision_at_1
value: 43.25
- type: precision_at_10
value: 20.974999999999998
- type: precision_at_100
value: 6.657
- type: precision_at_1000
value: 1.361
- type: precision_at_3
value: 31.583
- type: precision_at_5
value: 27.150000000000002
- type: recall_at_1
value: 4.952999999999999
- type: recall_at_10
value: 14.727
- type: recall_at_100
value: 34.799
- type: recall_at_1000
value: 58.731
- type: recall_at_3
value: 8.368
- type: recall_at_5
value: 10.827
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 45.705000000000005
- type: f1
value: 43.37371323235086
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 17.101
- type: map_at_10
value: 25.537
- type: map_at_100
value: 26.494
- type: map_at_1000
value: 26.565
- type: map_at_3
value: 22.914
- type: map_at_5
value: 24.458
- type: mrr_at_1
value: 18.151999999999997
- type: mrr_at_10
value: 26.982
- type: mrr_at_100
value: 27.927999999999997
- type: mrr_at_1000
value: 27.99
- type: mrr_at_3
value: 24.235
- type: mrr_at_5
value: 25.845000000000002
- type: ndcg_at_1
value: 18.151999999999997
- type: ndcg_at_10
value: 30.534
- type: ndcg_at_100
value: 35.429
- type: ndcg_at_1000
value: 37.425999999999995
- type: ndcg_at_3
value: 25.144
- type: ndcg_at_5
value: 27.911
- type: precision_at_1
value: 18.151999999999997
- type: precision_at_10
value: 4.854
- type: precision_at_100
value: 0.753
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 10.796
- type: precision_at_5
value: 7.918
- type: recall_at_1
value: 17.101
- type: recall_at_10
value: 44.814
- type: recall_at_100
value: 67.656
- type: recall_at_1000
value: 83.206
- type: recall_at_3
value: 30.233999999999998
- type: recall_at_5
value: 36.881
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 7.858
- type: map_at_10
value: 12.706000000000001
- type: map_at_100
value: 13.885
- type: map_at_1000
value: 14.097000000000001
- type: map_at_3
value: 10.728
- type: map_at_5
value: 11.701
- type: mrr_at_1
value: 14.815000000000001
- type: mrr_at_10
value: 21.032999999999998
- type: mrr_at_100
value: 22.12
- type: mrr_at_1000
value: 22.217000000000002
- type: mrr_at_3
value: 18.93
- type: mrr_at_5
value: 20.095
- type: ndcg_at_1
value: 14.815000000000001
- type: ndcg_at_10
value: 17.298
- type: ndcg_at_100
value: 22.906000000000002
- type: ndcg_at_1000
value: 27.724
- type: ndcg_at_3
value: 14.498
- type: ndcg_at_5
value: 15.445
- type: precision_at_1
value: 14.815000000000001
- type: precision_at_10
value: 4.954
- type: precision_at_100
value: 1.059
- type: precision_at_1000
value: 0.191
- type: precision_at_3
value: 9.568
- type: precision_at_5
value: 7.315
- type: recall_at_1
value: 7.858
- type: recall_at_10
value: 22.439999999999998
- type: recall_at_100
value: 43.967
- type: recall_at_1000
value: 73.81400000000001
- type: recall_at_3
value: 13.600999999999999
- type: recall_at_5
value: 17.000999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 17.772
- type: map_at_10
value: 25.396
- type: map_at_100
value: 26.334999999999997
- type: map_at_1000
value: 26.444000000000003
- type: map_at_3
value: 23.230999999999998
- type: map_at_5
value: 24.422
- type: mrr_at_1
value: 35.557
- type: mrr_at_10
value: 43.144
- type: mrr_at_100
value: 43.852000000000004
- type: mrr_at_1000
value: 43.908
- type: mrr_at_3
value: 41.188
- type: mrr_at_5
value: 42.286
- type: ndcg_at_1
value: 35.544
- type: ndcg_at_10
value: 32.529
- type: ndcg_at_100
value: 36.828
- type: ndcg_at_1000
value: 39.469
- type: ndcg_at_3
value: 28.516000000000002
- type: ndcg_at_5
value: 30.444
- type: precision_at_1
value: 35.544
- type: precision_at_10
value: 7.245
- type: precision_at_100
value: 1.0699999999999998
- type: precision_at_1000
value: 0.14200000000000002
- type: precision_at_3
value: 18.090999999999998
- type: precision_at_5
value: 12.386
- type: recall_at_1
value: 17.772
- type: recall_at_10
value: 36.226
- type: recall_at_100
value: 53.477
- type: recall_at_1000
value: 71.16799999999999
- type: recall_at_3
value: 27.137
- type: recall_at_5
value: 30.965999999999998
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 57.8072
- type: ap
value: 54.65260672014631
- type: f1
value: 57.55916444661744
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 6.184
- type: map_at_10
value: 10.823
- type: map_at_100
value: 11.706999999999999
- type: map_at_1000
value: 11.82
- type: map_at_3
value: 9.135
- type: map_at_5
value: 9.966999999999999
- type: mrr_at_1
value: 6.375
- type: mrr_at_10
value: 11.097999999999999
- type: mrr_at_100
value: 11.988
- type: mrr_at_1000
value: 12.096
- type: mrr_at_3
value: 9.389
- type: mrr_at_5
value: 10.233
- type: ndcg_at_1
value: 6.3469999999999995
- type: ndcg_at_10
value: 13.783000000000001
- type: ndcg_at_100
value: 18.663
- type: ndcg_at_1000
value: 22.023
- type: ndcg_at_3
value: 10.203
- type: ndcg_at_5
value: 11.702
- type: precision_at_1
value: 6.3469999999999995
- type: precision_at_10
value: 2.385
- type: precision_at_100
value: 0.49300000000000005
- type: precision_at_1000
value: 0.078
- type: precision_at_3
value: 4.494
- type: precision_at_5
value: 3.444
- type: recall_at_1
value: 6.184
- type: recall_at_10
value: 23.066
- type: recall_at_100
value: 46.913
- type: recall_at_1000
value: 73.86
- type: recall_at_3
value: 13.056000000000001
- type: recall_at_5
value: 16.669
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 88.0232558139535
- type: f1
value: 86.74056019732089
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 59.211126310989506
- type: f1
value: 41.03273201117899
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 59.74108944182919
- type: f1
value: 58.724358387708996
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 66.72158708809684
- type: f1
value: 65.57208754274619
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 29.68738931117646
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 25.714742907049377
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.167644349465323
- type: mrr
value: 31.16669284646955
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.276
- type: map_at_10
value: 9.362
- type: map_at_100
value: 12.325999999999999
- type: map_at_1000
value: 13.858
- type: map_at_3
value: 6.654
- type: map_at_5
value: 7.925
- type: mrr_at_1
value: 33.745999999999995
- type: mrr_at_10
value: 44.641999999999996
- type: mrr_at_100
value: 45.377
- type: mrr_at_1000
value: 45.429
- type: mrr_at_3
value: 41.949999999999996
- type: mrr_at_5
value: 43.514
- type: ndcg_at_1
value: 32.353
- type: ndcg_at_10
value: 27.622999999999998
- type: ndcg_at_100
value: 27.174
- type: ndcg_at_1000
value: 36.562
- type: ndcg_at_3
value: 30.319000000000003
- type: ndcg_at_5
value: 29.654999999999998
- type: precision_at_1
value: 33.745999999999995
- type: precision_at_10
value: 20.867
- type: precision_at_100
value: 7.641000000000001
- type: precision_at_1000
value: 2.117
- type: precision_at_3
value: 28.688999999999997
- type: precision_at_5
value: 26.316
- type: recall_at_1
value: 4.276
- type: recall_at_10
value: 14.238000000000001
- type: recall_at_100
value: 30.125999999999998
- type: recall_at_1000
value: 63.27700000000001
- type: recall_at_3
value: 7.641000000000001
- type: recall_at_5
value: 10.399
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 8.143
- type: map_at_10
value: 14.514
- type: map_at_100
value: 15.767999999999999
- type: map_at_1000
value: 15.882
- type: map_at_3
value: 11.997
- type: map_at_5
value: 13.292000000000002
- type: mrr_at_1
value: 9.328
- type: mrr_at_10
value: 16.117
- type: mrr_at_100
value: 17.265
- type: mrr_at_1000
value: 17.36
- type: mrr_at_3
value: 13.547999999999998
- type: mrr_at_5
value: 14.863999999999999
- type: ndcg_at_1
value: 9.328
- type: ndcg_at_10
value: 18.889
- type: ndcg_at_100
value: 25.212
- type: ndcg_at_1000
value: 28.314
- type: ndcg_at_3
value: 13.654
- type: ndcg_at_5
value: 15.956000000000001
- type: precision_at_1
value: 9.328
- type: precision_at_10
value: 3.659
- type: precision_at_100
value: 0.722
- type: precision_at_1000
value: 0.10200000000000001
- type: precision_at_3
value: 6.557
- type: precision_at_5
value: 5.220000000000001
- type: recall_at_1
value: 8.143
- type: recall_at_10
value: 31.008999999999997
- type: recall_at_100
value: 60.30799999999999
- type: recall_at_1000
value: 84.164
- type: recall_at_3
value: 16.927
- type: recall_at_5
value: 22.308
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 64.74
- type: map_at_10
value: 77.579
- type: map_at_100
value: 78.31099999999999
- type: map_at_1000
value: 78.34100000000001
- type: map_at_3
value: 74.628
- type: map_at_5
value: 76.43100000000001
- type: mrr_at_1
value: 74.42999999999999
- type: mrr_at_10
value: 81.718
- type: mrr_at_100
value: 81.93
- type: mrr_at_1000
value: 81.934
- type: mrr_at_3
value: 80.343
- type: mrr_at_5
value: 81.24900000000001
- type: ndcg_at_1
value: 74.52
- type: ndcg_at_10
value: 82.166
- type: ndcg_at_100
value: 84.09400000000001
- type: ndcg_at_1000
value: 84.405
- type: ndcg_at_3
value: 78.658
- type: ndcg_at_5
value: 80.511
- type: precision_at_1
value: 74.52
- type: precision_at_10
value: 12.4
- type: precision_at_100
value: 1.465
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 34.097
- type: precision_at_5
value: 22.524
- type: recall_at_1
value: 64.74
- type: recall_at_10
value: 90.934
- type: recall_at_100
value: 98.06700000000001
- type: recall_at_1000
value: 99.735
- type: recall_at_3
value: 80.93
- type: recall_at_5
value: 86.098
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 40.606185591359946
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 46.78653785319337
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.068
- type: map_at_10
value: 7.453
- type: map_at_100
value: 8.94
- type: map_at_1000
value: 9.205
- type: map_at_3
value: 5.441
- type: map_at_5
value: 6.563
- type: mrr_at_1
value: 15.1
- type: mrr_at_10
value: 23.683
- type: mrr_at_100
value: 24.844
- type: mrr_at_1000
value: 24.925
- type: mrr_at_3
value: 20.583000000000002
- type: mrr_at_5
value: 22.393
- type: ndcg_at_1
value: 15.1
- type: ndcg_at_10
value: 13.252
- type: ndcg_at_100
value: 19.874
- type: ndcg_at_1000
value: 25.102000000000004
- type: ndcg_at_3
value: 12.46
- type: ndcg_at_5
value: 11.129999999999999
- type: precision_at_1
value: 15.1
- type: precision_at_10
value: 6.92
- type: precision_at_100
value: 1.6549999999999998
- type: precision_at_1000
value: 0.292
- type: precision_at_3
value: 11.733
- type: precision_at_5
value: 9.959999999999999
- type: recall_at_1
value: 3.068
- type: recall_at_10
value: 14.002999999999998
- type: recall_at_100
value: 33.665
- type: recall_at_1000
value: 59.263
- type: recall_at_3
value: 7.138
- type: recall_at_5
value: 10.093
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 73.84217977825315
- type: cos_sim_spearman
value: 64.73853534406881
- type: euclidean_pearson
value: 68.56237657521805
- type: euclidean_spearman
value: 64.7386204334089
- type: manhattan_pearson
value: 64.28173029328066
- type: manhattan_spearman
value: 61.6425882368892
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 74.3897399159046
- type: cos_sim_spearman
value: 66.41796288932143
- type: euclidean_pearson
value: 69.58937069001486
- type: euclidean_spearman
value: 66.41921175710908
- type: manhattan_pearson
value: 69.44690548894025
- type: manhattan_spearman
value: 67.20608551711165
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 73.40420367729462
- type: cos_sim_spearman
value: 74.7406656921495
- type: euclidean_pearson
value: 74.49821960433705
- type: euclidean_spearman
value: 74.74070353074646
- type: manhattan_pearson
value: 74.45633450233547
- type: manhattan_spearman
value: 74.80630310816566
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 76.08230956796241
- type: cos_sim_spearman
value: 73.11142836361485
- type: euclidean_pearson
value: 74.74137597934427
- type: euclidean_spearman
value: 73.11141867429899
- type: manhattan_pearson
value: 72.09161587291223
- type: manhattan_spearman
value: 71.33824267920687
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 81.34074228940773
- type: cos_sim_spearman
value: 81.663564948902
- type: euclidean_pearson
value: 81.32795523487
- type: euclidean_spearman
value: 81.66356344266268
- type: manhattan_pearson
value: 79.66668460451962
- type: manhattan_spearman
value: 80.26498678904738
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 75.34853107761967
- type: cos_sim_spearman
value: 76.11406943584268
- type: euclidean_pearson
value: 75.42777338536479
- type: euclidean_spearman
value: 76.11461979448184
- type: manhattan_pearson
value: 75.28480036291658
- type: manhattan_spearman
value: 75.86903836076087
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 84.19635034536458
- type: cos_sim_spearman
value: 84.41028007330507
- type: euclidean_pearson
value: 84.12079765145907
- type: euclidean_spearman
value: 84.41115400407284
- type: manhattan_pearson
value: 80.64550570011859
- type: manhattan_spearman
value: 81.03196171442178
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 65.30408649378363
- type: cos_sim_spearman
value: 62.17641437243313
- type: euclidean_pearson
value: 63.90016485852732
- type: euclidean_spearman
value: 62.17641437243313
- type: manhattan_pearson
value: 62.956633811074624
- type: manhattan_spearman
value: 61.68947912384155
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 78.26287903139352
- type: cos_sim_spearman
value: 76.2712211096111
- type: euclidean_pearson
value: 77.37452738777681
- type: euclidean_spearman
value: 76.271269672779
- type: manhattan_pearson
value: 74.27135753612207
- type: manhattan_spearman
value: 73.50100666714098
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 72.27982263806383
- type: mrr
value: 91.41216173078918
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 41.583
- type: map_at_10
value: 48.624
- type: map_at_100
value: 49.763000000000005
- type: map_at_1000
value: 49.816
- type: map_at_3
value: 46.005
- type: map_at_5
value: 47.321000000000005
- type: mrr_at_1
value: 43.333
- type: mrr_at_10
value: 50.114000000000004
- type: mrr_at_100
value: 51.002
- type: mrr_at_1000
value: 51.05
- type: mrr_at_3
value: 47.833
- type: mrr_at_5
value: 48.949999999999996
- type: ndcg_at_1
value: 43.333
- type: ndcg_at_10
value: 52.974
- type: ndcg_at_100
value: 58.01
- type: ndcg_at_1000
value: 59.338
- type: ndcg_at_3
value: 47.774
- type: ndcg_at_5
value: 49.996
- type: precision_at_1
value: 43.333
- type: precision_at_10
value: 7.2330000000000005
- type: precision_at_100
value: 1
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 18.333
- type: precision_at_5
value: 12.267
- type: recall_at_1
value: 41.583
- type: recall_at_10
value: 65.122
- type: recall_at_100
value: 87.967
- type: recall_at_1000
value: 98.26700000000001
- type: recall_at_3
value: 50.971999999999994
- type: recall_at_5
value: 56.389
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.72376237623763
- type: cos_sim_ap
value: 91.59663360673323
- type: cos_sim_f1
value: 85.67026194144839
- type: cos_sim_precision
value: 88.0675818373812
- type: cos_sim_recall
value: 83.39999999999999
- type: dot_accuracy
value: 99.72376237623763
- type: dot_ap
value: 91.59663360673323
- type: dot_f1
value: 85.67026194144839
- type: dot_precision
value: 88.0675818373812
- type: dot_recall
value: 83.39999999999999
- type: euclidean_accuracy
value: 99.72376237623763
- type: euclidean_ap
value: 91.59663360673323
- type: euclidean_f1
value: 85.67026194144839
- type: euclidean_precision
value: 88.0675818373812
- type: euclidean_recall
value: 83.39999999999999
- type: manhattan_accuracy
value: 99.74554455445545
- type: manhattan_ap
value: 92.09213506501266
- type: manhattan_f1
value: 86.61174047373842
- type: manhattan_precision
value: 89.27813163481953
- type: manhattan_recall
value: 84.1
- type: max_accuracy
value: 99.74554455445545
- type: max_ap
value: 92.09213506501266
- type: max_f1
value: 86.61174047373842
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 31.354678889296643
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.716316122867532
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 42.43564476567571
- type: mrr
value: 42.923855148119856
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 27.804558815491582
- type: cos_sim_spearman
value: 28.153603446071195
- type: dot_pearson
value: 27.804558803487396
- type: dot_spearman
value: 28.084758471607437
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.13899999999999998
- type: map_at_10
value: 0.895
- type: map_at_100
value: 5.049
- type: map_at_1000
value: 13.750000000000002
- type: map_at_3
value: 0.391
- type: map_at_5
value: 0.5700000000000001
- type: mrr_at_1
value: 56.00000000000001
- type: mrr_at_10
value: 68.291
- type: mrr_at_100
value: 68.599
- type: mrr_at_1000
value: 68.599
- type: mrr_at_3
value: 66
- type: mrr_at_5
value: 67
- type: ndcg_at_1
value: 52
- type: ndcg_at_10
value: 44.293
- type: ndcg_at_100
value: 35.138000000000005
- type: ndcg_at_1000
value: 33.944
- type: ndcg_at_3
value: 51.653999999999996
- type: ndcg_at_5
value: 47.823
- type: precision_at_1
value: 56.00000000000001
- type: precision_at_10
value: 46.2
- type: precision_at_100
value: 37.34
- type: precision_at_1000
value: 16.75
- type: precision_at_3
value: 56.00000000000001
- type: precision_at_5
value: 50.8
- type: recall_at_1
value: 0.13899999999999998
- type: recall_at_10
value: 1.1119999999999999
- type: recall_at_100
value: 8.079
- type: recall_at_1000
value: 33.425
- type: recall_at_3
value: 0.44200000000000006
- type: recall_at_5
value: 0.649
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.072
- type: map_at_10
value: 7.202999999999999
- type: map_at_100
value: 13.5
- type: map_at_1000
value: 15.165999999999999
- type: map_at_3
value: 3.334
- type: map_at_5
value: 5.13
- type: mrr_at_1
value: 18.367
- type: mrr_at_10
value: 34.217999999999996
- type: mrr_at_100
value: 36.224000000000004
- type: mrr_at_1000
value: 36.224000000000004
- type: mrr_at_3
value: 31.293
- type: mrr_at_5
value: 33.537
- type: ndcg_at_1
value: 17.347
- type: ndcg_at_10
value: 20.206
- type: ndcg_at_100
value: 34.272999999999996
- type: ndcg_at_1000
value: 45.69
- type: ndcg_at_3
value: 22.096
- type: ndcg_at_5
value: 22.104
- type: precision_at_1
value: 18.367
- type: precision_at_10
value: 19.796
- type: precision_at_100
value: 8.265
- type: precision_at_1000
value: 1.559
- type: precision_at_3
value: 25.169999999999998
- type: precision_at_5
value: 24.898
- type: recall_at_1
value: 1.072
- type: recall_at_10
value: 12.928999999999998
- type: recall_at_100
value: 49.480000000000004
- type: recall_at_1000
value: 84.52199999999999
- type: recall_at_3
value: 4.951
- type: recall_at_5
value: 8.174
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 73.85300000000001
- type: ap
value: 15.150651122442243
- type: f1
value: 56.552356287746534
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 48.97566496887381
- type: f1
value: 49.20122209000376
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 34.11643960858017
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.33295583238957
- type: cos_sim_ap
value: 60.56683852828603
- type: cos_sim_f1
value: 58.434181279328236
- type: cos_sim_precision
value: 54.92107706592386
- type: cos_sim_recall
value: 62.42744063324538
- type: dot_accuracy
value: 82.33295583238957
- type: dot_ap
value: 60.56683852828603
- type: dot_f1
value: 58.434181279328236
- type: dot_precision
value: 54.92107706592386
- type: dot_recall
value: 62.42744063324538
- type: euclidean_accuracy
value: 82.33295583238957
- type: euclidean_ap
value: 60.56683852828603
- type: euclidean_f1
value: 58.434181279328236
- type: euclidean_precision
value: 54.92107706592386
- type: euclidean_recall
value: 62.42744063324538
- type: manhattan_accuracy
value: 80.2884901949097
- type: manhattan_ap
value: 53.2492721439648
- type: manhattan_f1
value: 52.59130434782608
- type: manhattan_precision
value: 46.907962771458116
- type: manhattan_recall
value: 59.84168865435356
- type: max_accuracy
value: 82.33295583238957
- type: max_ap
value: 60.56683852828603
- type: max_f1
value: 58.434181279328236
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.38696782706563
- type: cos_sim_ap
value: 82.68953841305951
- type: cos_sim_f1
value: 74.80410550711841
- type: cos_sim_precision
value: 71.62381120112715
- type: cos_sim_recall
value: 78.27995072374499
- type: dot_accuracy
value: 87.38696782706563
- type: dot_ap
value: 82.68953784824923
- type: dot_f1
value: 74.80410550711841
- type: dot_precision
value: 71.62381120112715
- type: dot_recall
value: 78.27995072374499
- type: euclidean_accuracy
value: 87.38696782706563
- type: euclidean_ap
value: 82.689538293703
- type: euclidean_f1
value: 74.80410550711841
- type: euclidean_precision
value: 71.62381120112715
- type: euclidean_recall
value: 78.27995072374499
- type: manhattan_accuracy
value: 86.9426010012807
- type: manhattan_ap
value: 81.53723308483808
- type: manhattan_f1
value: 73.57354146619623
- type: manhattan_precision
value: 68.48915135027536
- type: manhattan_recall
value: 79.47336002463813
- type: max_accuracy
value: 87.38696782706563
- type: max_ap
value: 82.68953841305951
- type: max_f1
value: 74.80410550711841