metadata
tags:
- mteb
model-index:
- name: fasttext_main
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 73.85074626865674
- type: ap
value: 37.07037696888039
- type: f1
value: 68.00345425893465
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 63.018924999999996
- type: ap
value: 58.9270716077803
- type: f1
value: 62.05683397387594
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 31.145999999999997
- type: f1
value: 30.541099103925795
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 13.94
- type: map_at_10
value: 23.919
- type: map_at_100
value: 24.977
- type: map_at_1000
value: 25.047000000000004
- type: map_at_3
value: 20.816000000000003
- type: map_at_5
value: 22.608
- type: mrr_at_1
value: 14.296000000000001
- type: mrr_at_10
value: 24.061
- type: mrr_at_100
value: 25.125999999999998
- type: mrr_at_1000
value: 25.196
- type: mrr_at_3
value: 20.934
- type: mrr_at_5
value: 22.758
- type: ndcg_at_1
value: 13.94
- type: ndcg_at_10
value: 29.543000000000003
- type: ndcg_at_100
value: 35.086
- type: ndcg_at_1000
value: 37.156
- type: ndcg_at_3
value: 23.169
- type: ndcg_at_5
value: 26.395000000000003
- type: precision_at_1
value: 13.94
- type: precision_at_10
value: 4.7509999999999994
- type: precision_at_100
value: 0.743
- type: precision_at_1000
value: 0.091
- type: precision_at_3
value: 10.005
- type: precision_at_5
value: 7.568
- type: recall_at_1
value: 13.94
- type: recall_at_10
value: 47.510999999999996
- type: recall_at_100
value: 74.324
- type: recall_at_1000
value: 91.11
- type: recall_at_3
value: 30.014000000000003
- type: recall_at_5
value: 37.838
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 36.773959267301734
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 27.53911280726287
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 50.148759855706025
- type: mrr
value: 63.59814008705976
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 60.96274580639198
- type: cos_sim_spearman
value: 62.97673617247494
- type: euclidean_pearson
value: 62.52462544675977
- type: euclidean_spearman
value: 62.97673617247494
- type: manhattan_pearson
value: 63.39097043635172
- type: manhattan_spearman
value: 64.39182865728104
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 60.72727272727272
- type: f1
value: 59.08009396100342
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 34.068622978919585
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 24.801372128107964
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 14.469999999999999
- type: map_at_10
value: 20.473
- type: map_at_100
value: 21.379
- type: map_at_1000
value: 21.522
- type: map_at_3
value: 18.603
- type: map_at_5
value: 19.814
- type: mrr_at_1
value: 19.313
- type: mrr_at_10
value: 25.483
- type: mrr_at_100
value: 26.249
- type: mrr_at_1000
value: 26.338
- type: mrr_at_3
value: 23.748
- type: mrr_at_5
value: 24.914
- type: ndcg_at_1
value: 19.313
- type: ndcg_at_10
value: 24.507
- type: ndcg_at_100
value: 29.009
- type: ndcg_at_1000
value: 32.4
- type: ndcg_at_3
value: 21.902
- type: ndcg_at_5
value: 23.379
- type: precision_at_1
value: 19.313
- type: precision_at_10
value: 4.893
- type: precision_at_100
value: 0.8999999999999999
- type: precision_at_1000
value: 0.152
- type: precision_at_3
value: 11.206000000000001
- type: precision_at_5
value: 8.24
- type: recall_at_1
value: 14.469999999999999
- type: recall_at_10
value: 31.205
- type: recall_at_100
value: 52.23100000000001
- type: recall_at_1000
value: 76.144
- type: recall_at_3
value: 22.975
- type: recall_at_5
value: 27.515
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 13.507
- type: map_at_10
value: 18.556
- type: map_at_100
value: 19.317999999999998
- type: map_at_1000
value: 19.426
- type: map_at_3
value: 17.037
- type: map_at_5
value: 17.949
- type: mrr_at_1
value: 17.261000000000003
- type: mrr_at_10
value: 22.595000000000002
- type: mrr_at_100
value: 23.305
- type: mrr_at_1000
value: 23.380000000000003
- type: mrr_at_3
value: 21.072
- type: mrr_at_5
value: 21.97
- type: ndcg_at_1
value: 17.261000000000003
- type: ndcg_at_10
value: 21.859
- type: ndcg_at_100
value: 25.531
- type: ndcg_at_1000
value: 28.402
- type: ndcg_at_3
value: 19.354
- type: ndcg_at_5
value: 20.613
- type: precision_at_1
value: 17.261000000000003
- type: precision_at_10
value: 4.159
- type: precision_at_100
value: 0.757
- type: precision_at_1000
value: 0.124
- type: precision_at_3
value: 9.447999999999999
- type: precision_at_5
value: 6.854
- type: recall_at_1
value: 13.507
- type: recall_at_10
value: 27.677000000000003
- type: recall_at_100
value: 43.657000000000004
- type: recall_at_1000
value: 63.865
- type: recall_at_3
value: 20.483
- type: recall_at_5
value: 23.78
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 19.11
- type: map_at_10
value: 25.22
- type: map_at_100
value: 26.138
- type: map_at_1000
value: 26.229000000000003
- type: map_at_3
value: 23.284
- type: map_at_5
value: 24.305
- type: mrr_at_1
value: 22.131999999999998
- type: mrr_at_10
value: 28.08
- type: mrr_at_100
value: 28.912
- type: mrr_at_1000
value: 28.98
- type: mrr_at_3
value: 26.217000000000002
- type: mrr_at_5
value: 27.217000000000002
- type: ndcg_at_1
value: 22.131999999999998
- type: ndcg_at_10
value: 29.041
- type: ndcg_at_100
value: 33.681
- type: ndcg_at_1000
value: 36.162
- type: ndcg_at_3
value: 25.261
- type: ndcg_at_5
value: 26.938000000000002
- type: precision_at_1
value: 22.131999999999998
- type: precision_at_10
value: 4.715
- type: precision_at_100
value: 0.769
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 11.181000000000001
- type: precision_at_5
value: 7.762
- type: recall_at_1
value: 19.11
- type: recall_at_10
value: 38.085
- type: recall_at_100
value: 59.207
- type: recall_at_1000
value: 77.718
- type: recall_at_3
value: 27.722
- type: recall_at_5
value: 31.919999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 5.970000000000001
- type: map_at_10
value: 8.695
- type: map_at_100
value: 9.261
- type: map_at_1000
value: 9.347
- type: map_at_3
value: 7.516
- type: map_at_5
value: 8.225999999999999
- type: mrr_at_1
value: 6.554
- type: mrr_at_10
value: 9.503
- type: mrr_at_100
value: 10.09
- type: mrr_at_1000
value: 10.174
- type: mrr_at_3
value: 8.267
- type: mrr_at_5
value: 9.008
- type: ndcg_at_1
value: 6.554
- type: ndcg_at_10
value: 10.626
- type: ndcg_at_100
value: 13.893
- type: ndcg_at_1000
value: 16.723
- type: ndcg_at_3
value: 8.246
- type: ndcg_at_5
value: 9.472999999999999
- type: precision_at_1
value: 6.554
- type: precision_at_10
value: 1.831
- type: precision_at_100
value: 0.372
- type: precision_at_1000
value: 0.065
- type: precision_at_3
value: 3.578
- type: precision_at_5
value: 2.825
- type: recall_at_1
value: 5.970000000000001
- type: recall_at_10
value: 15.962000000000002
- type: recall_at_100
value: 31.962000000000003
- type: recall_at_1000
value: 54.581
- type: recall_at_3
value: 9.464
- type: recall_at_5
value: 12.43
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 3.946
- type: map_at_10
value: 6.2010000000000005
- type: map_at_100
value: 6.676
- type: map_at_1000
value: 6.7669999999999995
- type: map_at_3
value: 5.364
- type: map_at_5
value: 5.835
- type: mrr_at_1
value: 5.1
- type: mrr_at_10
value: 7.815999999999999
- type: mrr_at_100
value: 8.38
- type: mrr_at_1000
value: 8.466
- type: mrr_at_3
value: 6.675000000000001
- type: mrr_at_5
value: 7.3469999999999995
- type: ndcg_at_1
value: 5.1
- type: ndcg_at_10
value: 7.947
- type: ndcg_at_100
value: 10.811
- type: ndcg_at_1000
value: 13.614999999999998
- type: ndcg_at_3
value: 6.172
- type: ndcg_at_5
value: 7.049999999999999
- type: precision_at_1
value: 5.1
- type: precision_at_10
value: 1.555
- type: precision_at_100
value: 0.35200000000000004
- type: precision_at_1000
value: 0.06899999999999999
- type: precision_at_3
value: 2.902
- type: precision_at_5
value: 2.363
- type: recall_at_1
value: 3.946
- type: recall_at_10
value: 11.795
- type: recall_at_100
value: 25.183
- type: recall_at_1000
value: 46.206
- type: recall_at_3
value: 7.19
- type: recall_at_5
value: 9.251
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 12.08
- type: map_at_10
value: 16.421
- type: map_at_100
value: 17.272000000000002
- type: map_at_1000
value: 17.391000000000002
- type: map_at_3
value: 14.793000000000001
- type: map_at_5
value: 15.648000000000001
- type: mrr_at_1
value: 14.726
- type: mrr_at_10
value: 19.676
- type: mrr_at_100
value: 20.461
- type: mrr_at_1000
value: 20.546
- type: mrr_at_3
value: 17.902
- type: mrr_at_5
value: 18.811
- type: ndcg_at_1
value: 14.726
- type: ndcg_at_10
value: 19.656000000000002
- type: ndcg_at_100
value: 24.043999999999997
- type: ndcg_at_1000
value: 27.209
- type: ndcg_at_3
value: 16.619
- type: ndcg_at_5
value: 17.959
- type: precision_at_1
value: 14.726
- type: precision_at_10
value: 3.6769999999999996
- type: precision_at_100
value: 0.724
- type: precision_at_1000
value: 0.117
- type: precision_at_3
value: 7.732
- type: precision_at_5
value: 5.736
- type: recall_at_1
value: 12.08
- type: recall_at_10
value: 26.334000000000003
- type: recall_at_100
value: 45.854
- type: recall_at_1000
value: 68.589
- type: recall_at_3
value: 17.773
- type: recall_at_5
value: 21.113
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 8.486
- type: map_at_10
value: 11.785
- type: map_at_100
value: 12.572
- type: map_at_1000
value: 12.681999999999999
- type: map_at_3
value: 10.439
- type: map_at_5
value: 11.227
- type: mrr_at_1
value: 10.502
- type: mrr_at_10
value: 14.255999999999998
- type: mrr_at_100
value: 15.068999999999999
- type: mrr_at_1000
value: 15.15
- type: mrr_at_3
value: 12.690000000000001
- type: mrr_at_5
value: 13.678
- type: ndcg_at_1
value: 10.502
- type: ndcg_at_10
value: 14.369000000000002
- type: ndcg_at_100
value: 18.807
- type: ndcg_at_1000
value: 21.998
- type: ndcg_at_3
value: 11.706
- type: ndcg_at_5
value: 13.114999999999998
- type: precision_at_1
value: 10.502
- type: precision_at_10
value: 2.705
- type: precision_at_100
value: 0.606
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 5.479
- type: precision_at_5
value: 4.338
- type: recall_at_1
value: 8.486
- type: recall_at_10
value: 19.895
- type: recall_at_100
value: 40.233999999999995
- type: recall_at_1000
value: 63.502
- type: recall_at_3
value: 12.934000000000001
- type: recall_at_5
value: 16.227
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 9.86625
- type: map_at_10
value: 13.610333333333333
- type: map_at_100
value: 14.300916666666666
- type: map_at_1000
value: 14.408333333333335
- type: map_at_3
value: 12.315333333333333
- type: map_at_5
value: 13.012833333333331
- type: mrr_at_1
value: 12.075833333333334
- type: mrr_at_10
value: 16.16466666666667
- type: mrr_at_100
value: 16.834999999999997
- type: mrr_at_1000
value: 16.91916666666667
- type: mrr_at_3
value: 14.80633333333333
- type: mrr_at_5
value: 15.5455
- type: ndcg_at_1
value: 12.075833333333334
- type: ndcg_at_10
value: 16.30866666666667
- type: ndcg_at_100
value: 19.96975
- type: ndcg_at_1000
value: 22.941499999999998
- type: ndcg_at_3
value: 13.900000000000002
- type: ndcg_at_5
value: 14.974749999999998
- type: precision_at_1
value: 12.075833333333334
- type: precision_at_10
value: 2.990333333333334
- type: precision_at_100
value: 0.5833333333333335
- type: precision_at_1000
value: 0.10024999999999999
- type: precision_at_3
value: 6.517250000000001
- type: precision_at_5
value: 4.741833333333333
- type: recall_at_1
value: 9.86625
- type: recall_at_10
value: 21.98225
- type: recall_at_100
value: 39.01191666666667
- type: recall_at_1000
value: 61.04558333333333
- type: recall_at_3
value: 15.127416666666669
- type: recall_at_5
value: 17.91883333333333
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 7.297
- type: map_at_10
value: 10.67
- type: map_at_100
value: 11.257
- type: map_at_1000
value: 11.328000000000001
- type: map_at_3
value: 9.513
- type: map_at_5
value: 10.184999999999999
- type: mrr_at_1
value: 8.741999999999999
- type: mrr_at_10
value: 12.423
- type: mrr_at_100
value: 12.989
- type: mrr_at_1000
value: 13.055
- type: mrr_at_3
value: 11.222
- type: mrr_at_5
value: 11.95
- type: ndcg_at_1
value: 8.741999999999999
- type: ndcg_at_10
value: 12.937000000000001
- type: ndcg_at_100
value: 16.055
- type: ndcg_at_1000
value: 18.265
- type: ndcg_at_3
value: 10.674999999999999
- type: ndcg_at_5
value: 11.82
- type: precision_at_1
value: 8.741999999999999
- type: precision_at_10
value: 2.316
- type: precision_at_100
value: 0.422
- type: precision_at_1000
value: 0.067
- type: precision_at_3
value: 4.9590000000000005
- type: precision_at_5
value: 3.681
- type: recall_at_1
value: 7.297
- type: recall_at_10
value: 18.249000000000002
- type: recall_at_100
value: 32.897999999999996
- type: recall_at_1000
value: 49.96
- type: recall_at_3
value: 12.025
- type: recall_at_5
value: 14.911
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 4.707
- type: map_at_10
value: 6.880999999999999
- type: map_at_100
value: 7.333
- type: map_at_1000
value: 7.4190000000000005
- type: map_at_3
value: 6.099
- type: map_at_5
value: 6.497
- type: mrr_at_1
value: 6.091
- type: mrr_at_10
value: 8.716
- type: mrr_at_100
value: 9.199
- type: mrr_at_1000
value: 9.279
- type: mrr_at_3
value: 7.8229999999999995
- type: mrr_at_5
value: 8.277
- type: ndcg_at_1
value: 6.091
- type: ndcg_at_10
value: 8.606
- type: ndcg_at_100
value: 11.199
- type: ndcg_at_1000
value: 13.900000000000002
- type: ndcg_at_3
value: 7.090000000000001
- type: ndcg_at_5
value: 7.702000000000001
- type: precision_at_1
value: 6.091
- type: precision_at_10
value: 1.686
- type: precision_at_100
value: 0.359
- type: precision_at_1000
value: 0.06999999999999999
- type: precision_at_3
value: 3.4639999999999995
- type: precision_at_5
value: 2.581
- type: recall_at_1
value: 4.707
- type: recall_at_10
value: 12.167
- type: recall_at_100
value: 24.428
- type: recall_at_1000
value: 44.789
- type: recall_at_3
value: 7.775
- type: recall_at_5
value: 9.386999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 10.186
- type: map_at_10
value: 13.07
- type: map_at_100
value: 13.654
- type: map_at_1000
value: 13.761000000000001
- type: map_at_3
value: 11.89
- type: map_at_5
value: 12.386999999999999
- type: mrr_at_1
value: 12.127
- type: mrr_at_10
value: 15.678
- type: mrr_at_100
value: 16.262
- type: mrr_at_1000
value: 16.361
- type: mrr_at_3
value: 14.396999999999998
- type: mrr_at_5
value: 14.887
- type: ndcg_at_1
value: 12.127
- type: ndcg_at_10
value: 15.607
- type: ndcg_at_100
value: 18.759999999999998
- type: ndcg_at_1000
value: 22.019
- type: ndcg_at_3
value: 13.166
- type: ndcg_at_5
value: 13.916999999999998
- type: precision_at_1
value: 12.127
- type: precision_at_10
value: 2.649
- type: precision_at_100
value: 0.473
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 5.908
- type: precision_at_5
value: 4.067
- type: recall_at_1
value: 10.186
- type: recall_at_10
value: 21.227999999999998
- type: recall_at_100
value: 35.812
- type: recall_at_1000
value: 60.436
- type: recall_at_3
value: 14.011999999999999
- type: recall_at_5
value: 16.04
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 11.088000000000001
- type: map_at_10
value: 15.311
- type: map_at_100
value: 16.104
- type: map_at_1000
value: 16.285
- type: map_at_3
value: 13.911000000000001
- type: map_at_5
value: 14.454
- type: mrr_at_1
value: 14.229
- type: mrr_at_10
value: 18.834999999999997
- type: mrr_at_100
value: 19.564999999999998
- type: mrr_at_1000
value: 19.665
- type: mrr_at_3
value: 17.589
- type: mrr_at_5
value: 18.034
- type: ndcg_at_1
value: 14.229
- type: ndcg_at_10
value: 18.715
- type: ndcg_at_100
value: 22.689999999999998
- type: ndcg_at_1000
value: 26.351999999999997
- type: ndcg_at_3
value: 16.424
- type: ndcg_at_5
value: 16.991999999999997
- type: precision_at_1
value: 14.229
- type: precision_at_10
value: 3.794
- type: precision_at_100
value: 0.874
- type: precision_at_1000
value: 0.17099999999999999
- type: precision_at_3
value: 8.036999999999999
- type: precision_at_5
value: 5.534
- type: recall_at_1
value: 11.088000000000001
- type: recall_at_10
value: 24.603
- type: recall_at_100
value: 44.41
- type: recall_at_1000
value: 70.00800000000001
- type: recall_at_3
value: 17.192
- type: recall_at_5
value: 19.236
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 7.548000000000001
- type: map_at_10
value: 10.041
- type: map_at_100
value: 10.647
- type: map_at_1000
value: 10.743
- type: map_at_3
value: 9.335
- type: map_at_5
value: 9.626999999999999
- type: mrr_at_1
value: 8.133
- type: mrr_at_10
value: 10.915
- type: mrr_at_100
value: 11.539000000000001
- type: mrr_at_1000
value: 11.636000000000001
- type: mrr_at_3
value: 10.074
- type: mrr_at_5
value: 10.453
- type: ndcg_at_1
value: 8.133
- type: ndcg_at_10
value: 11.834
- type: ndcg_at_100
value: 15.157000000000002
- type: ndcg_at_1000
value: 18.253
- type: ndcg_at_3
value: 10.184999999999999
- type: ndcg_at_5
value: 10.739
- type: precision_at_1
value: 8.133
- type: precision_at_10
value: 1.9040000000000001
- type: precision_at_100
value: 0.392
- type: precision_at_1000
value: 0.07100000000000001
- type: precision_at_3
value: 4.313000000000001
- type: precision_at_5
value: 2.921
- type: recall_at_1
value: 7.548000000000001
- type: recall_at_10
value: 16.587
- type: recall_at_100
value: 32.267
- type: recall_at_1000
value: 56.749
- type: recall_at_3
value: 11.984
- type: recall_at_5
value: 13.216
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.405
- type: map_at_10
value: 9.92
- type: map_at_100
value: 11.148
- type: map_at_1000
value: 11.315999999999999
- type: map_at_3
value: 8.121
- type: map_at_5
value: 8.985
- type: mrr_at_1
value: 13.16
- type: mrr_at_10
value: 20.937
- type: mrr_at_100
value: 21.97
- type: mrr_at_1000
value: 22.047
- type: mrr_at_3
value: 18.295
- type: mrr_at_5
value: 19.706000000000003
- type: ndcg_at_1
value: 13.16
- type: ndcg_at_10
value: 15.091
- type: ndcg_at_100
value: 20.957
- type: ndcg_at_1000
value: 24.538
- type: ndcg_at_3
value: 11.75
- type: ndcg_at_5
value: 12.851
- type: precision_at_1
value: 13.16
- type: precision_at_10
value: 5.049
- type: precision_at_100
value: 1.131
- type: precision_at_1000
value: 0.178
- type: precision_at_3
value: 9.034
- type: precision_at_5
value: 7.127
- type: recall_at_1
value: 5.405
- type: recall_at_10
value: 19.029
- type: recall_at_100
value: 40.198
- type: recall_at_1000
value: 60.731
- type: recall_at_3
value: 10.938
- type: recall_at_5
value: 14.052000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 1.8339999999999999
- type: map_at_10
value: 4.495
- type: map_at_100
value: 6.571000000000001
- type: map_at_1000
value: 7.219
- type: map_at_3
value: 3.011
- type: map_at_5
value: 3.7409999999999997
- type: mrr_at_1
value: 23
- type: mrr_at_10
value: 32.812999999999995
- type: mrr_at_100
value: 33.79
- type: mrr_at_1000
value: 33.853
- type: mrr_at_3
value: 29.875
- type: mrr_at_5
value: 31.624999999999996
- type: ndcg_at_1
value: 16.375
- type: ndcg_at_10
value: 13.153
- type: ndcg_at_100
value: 16.036
- type: ndcg_at_1000
value: 22.221
- type: ndcg_at_3
value: 14.135
- type: ndcg_at_5
value: 13.825999999999999
- type: precision_at_1
value: 23
- type: precision_at_10
value: 12.425
- type: precision_at_100
value: 4.287
- type: precision_at_1000
value: 0.9950000000000001
- type: precision_at_3
value: 17.583
- type: precision_at_5
value: 15.8
- type: recall_at_1
value: 1.8339999999999999
- type: recall_at_10
value: 8.286
- type: recall_at_100
value: 21.938
- type: recall_at_1000
value: 43.192
- type: recall_at_3
value: 3.904
- type: recall_at_5
value: 5.821
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 32.895
- type: f1
value: 30.402766415345212
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 10.581999999999999
- type: map_at_10
value: 15.384999999999998
- type: map_at_100
value: 16.173000000000002
- type: map_at_1000
value: 16.253
- type: map_at_3
value: 13.819999999999999
- type: map_at_5
value: 14.627
- type: mrr_at_1
value: 11.296000000000001
- type: mrr_at_10
value: 16.305
- type: mrr_at_100
value: 17.131
- type: mrr_at_1000
value: 17.205000000000002
- type: mrr_at_3
value: 14.655999999999999
- type: mrr_at_5
value: 15.512
- type: ndcg_at_1
value: 11.296000000000001
- type: ndcg_at_10
value: 18.401999999999997
- type: ndcg_at_100
value: 22.677
- type: ndcg_at_1000
value: 25.072
- type: ndcg_at_3
value: 15.089
- type: ndcg_at_5
value: 16.554
- type: precision_at_1
value: 11.296000000000001
- type: precision_at_10
value: 2.934
- type: precision_at_100
value: 0.524
- type: precision_at_1000
value: 0.075
- type: precision_at_3
value: 6.411
- type: precision_at_5
value: 4.623
- type: recall_at_1
value: 10.581999999999999
- type: recall_at_10
value: 27.061
- type: recall_at_100
value: 47.522999999999996
- type: recall_at_1000
value: 66.376
- type: recall_at_3
value: 17.942
- type: recall_at_5
value: 21.453
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 4.1419999999999995
- type: map_at_10
value: 7.237
- type: map_at_100
value: 7.9670000000000005
- type: map_at_1000
value: 8.118
- type: map_at_3
value: 6.129
- type: map_at_5
value: 6.569
- type: mrr_at_1
value: 8.025
- type: mrr_at_10
value: 12.7
- type: mrr_at_100
value: 13.565
- type: mrr_at_1000
value: 13.679
- type: mrr_at_3
value: 11.06
- type: mrr_at_5
value: 11.824
- type: ndcg_at_1
value: 8.025
- type: ndcg_at_10
value: 10.324
- type: ndcg_at_100
value: 14.494000000000002
- type: ndcg_at_1000
value: 18.552
- type: ndcg_at_3
value: 8.161
- type: ndcg_at_5
value: 8.745
- type: precision_at_1
value: 8.025
- type: precision_at_10
value: 2.948
- type: precision_at_100
value: 0.7100000000000001
- type: precision_at_1000
value: 0.13899999999999998
- type: precision_at_3
value: 5.453
- type: precision_at_5
value: 4.105
- type: recall_at_1
value: 4.1419999999999995
- type: recall_at_10
value: 14.329
- type: recall_at_100
value: 31.011
- type: recall_at_1000
value: 56.995
- type: recall_at_3
value: 8.043
- type: recall_at_5
value: 9.777
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 11.296000000000001
- type: map_at_10
value: 15.665999999999999
- type: map_at_100
value: 16.337
- type: map_at_1000
value: 16.425
- type: map_at_3
value: 14.318
- type: map_at_5
value: 15.068000000000001
- type: mrr_at_1
value: 22.593
- type: mrr_at_10
value: 27.923
- type: mrr_at_100
value: 28.639
- type: mrr_at_1000
value: 28.708
- type: mrr_at_3
value: 26.349
- type: mrr_at_5
value: 27.282
- type: ndcg_at_1
value: 22.593
- type: ndcg_at_10
value: 20.558
- type: ndcg_at_100
value: 23.957
- type: ndcg_at_1000
value: 26.381
- type: ndcg_at_3
value: 17.843999999999998
- type: ndcg_at_5
value: 19.189
- type: precision_at_1
value: 22.593
- type: precision_at_10
value: 4.601
- type: precision_at_100
value: 0.732
- type: precision_at_1000
value: 0.106
- type: precision_at_3
value: 11.254
- type: precision_at_5
value: 7.819
- type: recall_at_1
value: 11.296000000000001
- type: recall_at_10
value: 23.005
- type: recall_at_100
value: 36.597
- type: recall_at_1000
value: 52.93
- type: recall_at_3
value: 16.88
- type: recall_at_5
value: 19.548
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 64.0796
- type: ap
value: 59.21369657756785
- type: f1
value: 63.80554451507698
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 2.822
- type: map_at_10
value: 4.9079999999999995
- type: map_at_100
value: 5.4670000000000005
- type: map_at_1000
value: 5.552
- type: map_at_3
value: 4.064
- type: map_at_5
value: 4.479
- type: mrr_at_1
value: 2.8369999999999997
- type: mrr_at_10
value: 5.006
- type: mrr_at_100
value: 5.575
- type: mrr_at_1000
value: 5.6579999999999995
- type: mrr_at_3
value: 4.133
- type: mrr_at_5
value: 4.559
- type: ndcg_at_1
value: 2.8369999999999997
- type: ndcg_at_10
value: 6.32
- type: ndcg_at_100
value: 9.546000000000001
- type: ndcg_at_1000
value: 12.223
- type: ndcg_at_3
value: 4.517
- type: ndcg_at_5
value: 5.267
- type: precision_at_1
value: 2.8369999999999997
- type: precision_at_10
value: 1.119
- type: precision_at_100
value: 0.28300000000000003
- type: precision_at_1000
value: 0.052
- type: precision_at_3
value: 1.968
- type: precision_at_5
value: 1.559
- type: recall_at_1
value: 2.822
- type: recall_at_10
value: 10.788
- type: recall_at_100
value: 26.848
- type: recall_at_1000
value: 48.613
- type: recall_at_3
value: 5.759
- type: recall_at_5
value: 7.5600000000000005
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 85.22571819425444
- type: f1
value: 84.76386137659372
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 56.31326949384404
- type: f1
value: 36.81602997546668
- task:
type: Classification
dataset:
type: None
name: MTEB MasakhaNEWSClassification (eng)
config: eng
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics:
- type: accuracy
value: 76.69831223628692
- type: f1
value: 75.94656175905295
- task:
type: Clustering
dataset:
type: None
name: MTEB MasakhaNEWSClusteringS2S (eng)
config: eng
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics:
- type: v_measure
value: 19.60289598967427
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 56.36852723604573
- type: f1
value: 53.668136836547085
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 64.51916610625419
- type: f1
value: 62.784248086639515
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.851032342558657
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 23.456392994056834
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 26.934895509745115
- type: mrr
value: 27.27108783122485
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.405
- type: map_at_10
value: 7.180000000000001
- type: map_at_100
value: 9.014999999999999
- type: map_at_1000
value: 10.211
- type: map_at_3
value: 5.541
- type: map_at_5
value: 6.29
- type: mrr_at_1
value: 26.316
- type: mrr_at_10
value: 37.216
- type: mrr_at_100
value: 38.155
- type: mrr_at_1000
value: 38.216
- type: mrr_at_3
value: 35.243
- type: mrr_at_5
value: 36.434
- type: ndcg_at_1
value: 24.768
- type: ndcg_at_10
value: 21.11
- type: ndcg_at_100
value: 21.051000000000002
- type: ndcg_at_1000
value: 30.789
- type: ndcg_at_3
value: 23.94
- type: ndcg_at_5
value: 22.512
- type: precision_at_1
value: 26.316
- type: precision_at_10
value: 15.387
- type: precision_at_100
value: 5.824
- type: precision_at_1000
value: 1.923
- type: precision_at_3
value: 22.601
- type: precision_at_5
value: 19.195
- type: recall_at_1
value: 3.405
- type: recall_at_10
value: 11.04
- type: recall_at_100
value: 24.92
- type: recall_at_1000
value: 58.472
- type: recall_at_3
value: 6.746
- type: recall_at_5
value: 8.366
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 3.879
- type: map_at_10
value: 6.714
- type: map_at_100
value: 7.2989999999999995
- type: map_at_1000
value: 7.376
- type: map_at_3
value: 5.5440000000000005
- type: map_at_5
value: 6.128
- type: mrr_at_1
value: 4.635
- type: mrr_at_10
value: 7.686999999999999
- type: mrr_at_100
value: 8.272
- type: mrr_at_1000
value: 8.341
- type: mrr_at_3
value: 6.4750000000000005
- type: mrr_at_5
value: 7.093000000000001
- type: ndcg_at_1
value: 4.635
- type: ndcg_at_10
value: 8.745
- type: ndcg_at_100
value: 11.95
- type: ndcg_at_1000
value: 14.248
- type: ndcg_at_3
value: 6.311
- type: ndcg_at_5
value: 7.364
- type: precision_at_1
value: 4.635
- type: precision_at_10
value: 1.7149999999999999
- type: precision_at_100
value: 0.358
- type: precision_at_1000
value: 0.058
- type: precision_at_3
value: 3.042
- type: precision_at_5
value: 2.4330000000000003
- type: recall_at_1
value: 3.879
- type: recall_at_10
value: 14.129
- type: recall_at_100
value: 29.369
- type: recall_at_1000
value: 47.313
- type: recall_at_3
value: 7.631
- type: recall_at_5
value: 10.098
- task:
type: PairClassification
dataset:
type: None
name: MTEB OpusparcusPC (en)
config: en
split: test
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
metrics:
- type: cos_sim_accuracy
value: 99.89816700610999
- type: cos_sim_ap
value: 100
- type: cos_sim_f1
value: 99.9490575649516
- type: cos_sim_precision
value: 100
- type: cos_sim_recall
value: 99.89816700610999
- type: dot_accuracy
value: 99.89816700610999
- type: dot_ap
value: 100
- type: dot_f1
value: 99.9490575649516
- type: dot_precision
value: 100
- type: dot_recall
value: 99.89816700610999
- type: euclidean_accuracy
value: 99.89816700610999
- type: euclidean_ap
value: 100
- type: euclidean_f1
value: 99.9490575649516
- type: euclidean_precision
value: 100
- type: euclidean_recall
value: 99.89816700610999
- type: manhattan_accuracy
value: 99.89816700610999
- type: manhattan_ap
value: 100
- type: manhattan_f1
value: 99.9490575649516
- type: manhattan_precision
value: 100
- type: manhattan_recall
value: 99.89816700610999
- type: max_accuracy
value: 99.89816700610999
- type: max_ap
value: 100
- type: max_f1
value: 99.9490575649516
- task:
type: PairClassification
dataset:
type: None
name: MTEB PawsX (en)
config: en
split: test
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
metrics:
- type: cos_sim_accuracy
value: 54.6
- type: cos_sim_ap
value: 41.86283617866976
- type: cos_sim_f1
value: 62.42257398485891
- type: cos_sim_precision
value: 45.37268634317159
- type: cos_sim_recall
value: 100
- type: dot_accuracy
value: 54.65
- type: dot_ap
value: 41.97285801948605
- type: dot_f1
value: 62.444061962134256
- type: dot_precision
value: 45.3953953953954
- type: dot_recall
value: 100
- type: euclidean_accuracy
value: 55.2
- type: euclidean_ap
value: 43.13939119930642
- type: euclidean_f1
value: 62.42257398485891
- type: euclidean_precision
value: 45.37268634317159
- type: euclidean_recall
value: 100
- type: manhattan_accuracy
value: 55.2
- type: manhattan_ap
value: 43.25154714126316
- type: manhattan_f1
value: 62.487010737790094
- type: manhattan_precision
value: 45.55555555555556
- type: manhattan_recall
value: 99.44873208379272
- type: max_accuracy
value: 55.2
- type: max_ap
value: 43.25154714126316
- type: max_f1
value: 62.487010737790094
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 53.702000000000005
- type: map_at_10
value: 65.176
- type: map_at_100
value: 65.999
- type: map_at_1000
value: 66.049
- type: map_at_3
value: 62.368
- type: map_at_5
value: 64.077
- type: mrr_at_1
value: 61.9
- type: mrr_at_10
value: 69.987
- type: mrr_at_100
value: 70.36200000000001
- type: mrr_at_1000
value: 70.379
- type: mrr_at_3
value: 68.207
- type: mrr_at_5
value: 69.327
- type: ndcg_at_1
value: 61.92999999999999
- type: ndcg_at_10
value: 70.295
- type: ndcg_at_100
value: 73.1
- type: ndcg_at_1000
value: 73.916
- type: ndcg_at_3
value: 66.355
- type: ndcg_at_5
value: 68.403
- type: precision_at_1
value: 61.92999999999999
- type: precision_at_10
value: 10.671999999999999
- type: precision_at_100
value: 1.332
- type: precision_at_1000
value: 0.147
- type: precision_at_3
value: 28.83
- type: precision_at_5
value: 19.216
- type: recall_at_1
value: 53.702000000000005
- type: recall_at_10
value: 80.455
- type: recall_at_100
value: 91.75999999999999
- type: recall_at_1000
value: 97.033
- type: recall_at_3
value: 69.228
- type: recall_at_5
value: 74.766
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 25.781222642642586
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 39.469895537327254
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 1.043
- type: map_at_10
value: 2.456
- type: map_at_100
value: 2.913
- type: map_at_1000
value: 3.078
- type: map_at_3
value: 1.7870000000000001
- type: map_at_5
value: 2.173
- type: mrr_at_1
value: 5.1
- type: mrr_at_10
value: 8.515
- type: mrr_at_100
value: 9.149000000000001
- type: mrr_at_1000
value: 9.276
- type: mrr_at_3
value: 7.2669999999999995
- type: mrr_at_5
value: 7.962
- type: ndcg_at_1
value: 5.1
- type: ndcg_at_10
value: 4.578
- type: ndcg_at_100
value: 7.26
- type: ndcg_at_1000
value: 11.705
- type: ndcg_at_3
value: 4.194
- type: ndcg_at_5
value: 3.823
- type: precision_at_1
value: 5.1
- type: precision_at_10
value: 2.39
- type: precision_at_100
value: 0.645
- type: precision_at_1000
value: 0.174
- type: precision_at_3
value: 3.9
- type: precision_at_5
value: 3.4000000000000004
- type: recall_at_1
value: 1.043
- type: recall_at_10
value: 4.882000000000001
- type: recall_at_100
value: 13.15
- type: recall_at_1000
value: 35.385
- type: recall_at_3
value: 2.388
- type: recall_at_5
value: 3.4770000000000003
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 69.93170082002553
- type: cos_sim_spearman
value: 60.08741092780676
- type: euclidean_pearson
value: 65.60500561965856
- type: euclidean_spearman
value: 60.08755668871506
- type: manhattan_pearson
value: 66.26288910017067
- type: manhattan_spearman
value: 60.258444365922024
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 62.63440086574824
- type: cos_sim_spearman
value: 57.22862459567004
- type: euclidean_pearson
value: 61.33135391980671
- type: euclidean_spearman
value: 57.2287396395971
- type: manhattan_pearson
value: 63.538353299276665
- type: manhattan_spearman
value: 59.31604272847601
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 66.99729287299299
- type: cos_sim_spearman
value: 69.20264774948375
- type: euclidean_pearson
value: 68.83879433164682
- type: euclidean_spearman
value: 69.20257380705361
- type: manhattan_pearson
value: 68.82235273988779
- type: manhattan_spearman
value: 69.12895594376502
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 63.43542239265359
- type: cos_sim_spearman
value: 62.75650954855537
- type: euclidean_pearson
value: 63.87500752354951
- type: euclidean_spearman
value: 62.75647357698498
- type: manhattan_pearson
value: 64.30854220561612
- type: manhattan_spearman
value: 63.221533112975756
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 70.3113558570832
- type: cos_sim_spearman
value: 72.99345938388264
- type: euclidean_pearson
value: 72.46131589134022
- type: euclidean_spearman
value: 72.99345776180552
- type: manhattan_pearson
value: 72.98365443642383
- type: manhattan_spearman
value: 73.52773752441843
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 59.508816955942734
- type: cos_sim_spearman
value: 64.16476610475141
- type: euclidean_pearson
value: 63.49096301327081
- type: euclidean_spearman
value: 64.16559631894077
- type: manhattan_pearson
value: 63.756149631030304
- type: manhattan_spearman
value: 64.26840399223137
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 64.67239774871666
- type: cos_sim_spearman
value: 70.22507344222888
- type: euclidean_pearson
value: 68.64452662209249
- type: euclidean_spearman
value: 70.22507344222888
- type: manhattan_pearson
value: 69.50174122996509
- type: manhattan_spearman
value: 70.95654177971161
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 37.43959179391427
- type: cos_sim_spearman
value: 52.14129987772493
- type: euclidean_pearson
value: 45.75262378066364
- type: euclidean_spearman
value: 52.14129987772493
- type: manhattan_pearson
value: 46.45004553263895
- type: manhattan_spearman
value: 52.6763345299464
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 57.22043463404035
- type: cos_sim_spearman
value: 56.454056579980794
- type: euclidean_pearson
value: 58.48035388318515
- type: euclidean_spearman
value: 56.454075070192246
- type: manhattan_pearson
value: 59.27047962449207
- type: manhattan_spearman
value: 57.15898290207574
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmarkMultilingualSTS (en)
config: en
split: test
revision: 93d57ef91790589e3ce9c365164337a8a78b7632
metrics:
- type: cos_sim_pearson
value: 57.220434628430304
- type: cos_sim_spearman
value: 56.454056579980794
- type: euclidean_pearson
value: 58.48035389301345
- type: euclidean_spearman
value: 56.454075070192246
- type: manhattan_pearson
value: 59.270479632297445
- type: manhattan_spearman
value: 57.15898290207574
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 58.73824844121353
- type: mrr
value: 83.14232245604795
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 28.278
- type: map_at_10
value: 38.059
- type: map_at_100
value: 39.017
- type: map_at_1000
value: 39.086999999999996
- type: map_at_3
value: 35.157
- type: map_at_5
value: 36.321
- type: mrr_at_1
value: 28.999999999999996
- type: mrr_at_10
value: 38.842
- type: mrr_at_100
value: 39.683
- type: mrr_at_1000
value: 39.739999999999995
- type: mrr_at_3
value: 36.111
- type: mrr_at_5
value: 37.128
- type: ndcg_at_1
value: 28.999999999999996
- type: ndcg_at_10
value: 43.833
- type: ndcg_at_100
value: 48.478
- type: ndcg_at_1000
value: 50.287000000000006
- type: ndcg_at_3
value: 37.649
- type: ndcg_at_5
value: 39.635
- type: precision_at_1
value: 28.999999999999996
- type: precision_at_10
value: 6.633
- type: precision_at_100
value: 0.923
- type: precision_at_1000
value: 0.109
- type: precision_at_3
value: 15.556000000000001
- type: precision_at_5
value: 10.467
- type: recall_at_1
value: 28.278
- type: recall_at_10
value: 61.306000000000004
- type: recall_at_100
value: 82.794
- type: recall_at_1000
value: 96.68299999999999
- type: recall_at_3
value: 43.722
- type: recall_at_5
value: 48.528
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.45049504950495
- type: cos_sim_ap
value: 72.53477415157148
- type: cos_sim_f1
value: 69.14778856526429
- type: cos_sim_precision
value: 75.05854800936767
- type: cos_sim_recall
value: 64.1
- type: dot_accuracy
value: 99.45049504950495
- type: dot_ap
value: 72.53477415157148
- type: dot_f1
value: 69.14778856526429
- type: dot_precision
value: 75.05854800936767
- type: dot_recall
value: 64.1
- type: euclidean_accuracy
value: 99.45049504950495
- type: euclidean_ap
value: 72.53477415157148
- type: euclidean_f1
value: 69.14778856526429
- type: euclidean_precision
value: 75.05854800936767
- type: euclidean_recall
value: 64.1
- type: manhattan_accuracy
value: 99.5039603960396
- type: manhattan_ap
value: 76.7082832888717
- type: manhattan_f1
value: 72.13822894168467
- type: manhattan_precision
value: 78.40375586854461
- type: manhattan_recall
value: 66.8
- type: max_accuracy
value: 99.5039603960396
- type: max_ap
value: 76.7082832888717
- type: max_f1
value: 72.13822894168467
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 41.45680507027172
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 28.75350540653195
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 38.69383105134447
- type: mrr
value: 38.75449611662847
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 31.14397459171298
- type: cos_sim_spearman
value: 30.327886960162086
- type: dot_pearson
value: 31.143974578709766
- type: dot_spearman
value: 30.297101868216526
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.123
- type: map_at_10
value: 0.8380000000000001
- type: map_at_100
value: 3.5389999999999997
- type: map_at_1000
value: 8.105
- type: map_at_3
value: 0.319
- type: map_at_5
value: 0.482
- type: mrr_at_1
value: 52
- type: mrr_at_10
value: 63.839
- type: mrr_at_100
value: 64.274
- type: mrr_at_1000
value: 64.274
- type: mrr_at_3
value: 62
- type: mrr_at_5
value: 62.5
- type: ndcg_at_1
value: 45
- type: ndcg_at_10
value: 43.013
- type: ndcg_at_100
value: 28.294999999999998
- type: ndcg_at_1000
value: 24.868000000000002
- type: ndcg_at_3
value: 45.112
- type: ndcg_at_5
value: 44.41
- type: precision_at_1
value: 52
- type: precision_at_10
value: 47.4
- type: precision_at_100
value: 29.42
- type: precision_at_1000
value: 12.126000000000001
- type: precision_at_3
value: 50.666999999999994
- type: precision_at_5
value: 50
- type: recall_at_1
value: 0.123
- type: recall_at_10
value: 1.101
- type: recall_at_100
value: 6.366
- type: recall_at_1000
value: 24.29
- type: recall_at_3
value: 0.368
- type: recall_at_5
value: 0.5910000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.1280000000000001
- type: map_at_10
value: 3.533
- type: map_at_100
value: 6.584
- type: map_at_1000
value: 7.983
- type: map_at_3
value: 2.1399999999999997
- type: map_at_5
value: 2.825
- type: mrr_at_1
value: 20.408
- type: mrr_at_10
value: 29.62
- type: mrr_at_100
value: 31.746000000000002
- type: mrr_at_1000
value: 31.767
- type: mrr_at_3
value: 25.169999999999998
- type: mrr_at_5
value: 28.231
- type: ndcg_at_1
value: 18.367
- type: ndcg_at_10
value: 11.927
- type: ndcg_at_100
value: 21.722
- type: ndcg_at_1000
value: 34.343
- type: ndcg_at_3
value: 14.097999999999999
- type: ndcg_at_5
value: 13.475000000000001
- type: precision_at_1
value: 20.408
- type: precision_at_10
value: 11.224
- type: precision_at_100
value: 5.3469999999999995
- type: precision_at_1000
value: 1.316
- type: precision_at_3
value: 14.285999999999998
- type: precision_at_5
value: 14.285999999999998
- type: recall_at_1
value: 1.1280000000000001
- type: recall_at_10
value: 7.104000000000001
- type: recall_at_100
value: 32.883
- type: recall_at_1000
value: 71.486
- type: recall_at_3
value: 2.828
- type: recall_at_5
value: 4.619
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 69.719
- type: ap
value: 13.153064299460688
- type: f1
value: 53.23280050361928
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 51.47425014148273
- type: f1
value: 51.588742010704195
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 28.331197809553117
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 81.19449245991535
- type: cos_sim_ap
value: 53.831102581174925
- type: cos_sim_f1
value: 52.64428881912582
- type: cos_sim_precision
value: 48.53072128227961
- type: cos_sim_recall
value: 57.519788918205805
- type: dot_accuracy
value: 81.19449245991535
- type: dot_ap
value: 53.831102581174925
- type: dot_f1
value: 52.64428881912582
- type: dot_precision
value: 48.53072128227961
- type: dot_recall
value: 57.519788918205805
- type: euclidean_accuracy
value: 81.19449245991535
- type: euclidean_ap
value: 53.831102581174925
- type: euclidean_f1
value: 52.64428881912582
- type: euclidean_precision
value: 48.53072128227961
- type: euclidean_recall
value: 57.519788918205805
- type: manhattan_accuracy
value: 81.06932109435536
- type: manhattan_ap
value: 53.40351129456407
- type: manhattan_f1
value: 51.96813495782568
- type: manhattan_precision
value: 46.73409186683523
- type: manhattan_recall
value: 58.52242744063324
- type: max_accuracy
value: 81.19449245991535
- type: max_ap
value: 53.831102581174925
- type: max_f1
value: 52.64428881912582
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 83.53708231458843
- type: cos_sim_ap
value: 70.93155202991022
- type: cos_sim_f1
value: 63.92679900744417
- type: cos_sim_precision
value: 64.38612933458295
- type: cos_sim_recall
value: 63.47397597782568
- type: dot_accuracy
value: 83.53708231458843
- type: dot_ap
value: 70.93155188455967
- type: dot_f1
value: 63.92679900744417
- type: dot_precision
value: 64.38612933458295
- type: dot_recall
value: 63.47397597782568
- type: euclidean_accuracy
value: 83.53708231458843
- type: euclidean_ap
value: 70.93155157551972
- type: euclidean_f1
value: 63.92679900744417
- type: euclidean_precision
value: 64.38612933458295
- type: euclidean_recall
value: 63.47397597782568
- type: manhattan_accuracy
value: 83.77187875965382
- type: manhattan_ap
value: 71.99220572523825
- type: manhattan_f1
value: 65.04077318030807
- type: manhattan_precision
value: 63.80740740740741
- type: manhattan_recall
value: 66.32275947028026
- type: max_accuracy
value: 83.77187875965382
- type: max_ap
value: 71.99220572523825
- type: max_f1
value: 65.04077318030807