metadata
tags:
- mteb
model-index:
- name: nomic_classification_307_w50k_b10k
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 71.70149253731343
- type: ap
value: 33.79646861902238
- type: f1
value: 65.39377031734182
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 64.577125
- type: ap
value: 59.69737246109206
- type: f1
value: 64.3577747072318
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 33.748
- type: f1
value: 33.3254582178127
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 20.199
- type: map_at_10
value: 34.28
- type: map_at_100
value: 35.480000000000004
- type: map_at_1000
value: 35.504999999999995
- type: map_at_3
value: 29.682
- type: map_at_5
value: 32.385000000000005
- type: mrr_at_1
value: 20.91
- type: mrr_at_10
value: 34.536
- type: mrr_at_100
value: 35.743
- type: mrr_at_1000
value: 35.768
- type: mrr_at_3
value: 29.931
- type: mrr_at_5
value: 32.623000000000005
- type: ndcg_at_1
value: 20.199
- type: ndcg_at_10
value: 42.278
- type: ndcg_at_100
value: 47.924
- type: ndcg_at_1000
value: 48.537
- type: ndcg_at_3
value: 32.815
- type: ndcg_at_5
value: 37.681
- type: precision_at_1
value: 20.199
- type: precision_at_10
value: 6.792
- type: precision_at_100
value: 0.9390000000000001
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 13.963999999999999
- type: precision_at_5
value: 10.74
- type: recall_at_1
value: 20.199
- type: recall_at_10
value: 67.923
- type: recall_at_100
value: 93.88300000000001
- type: recall_at_1000
value: 98.578
- type: recall_at_3
value: 41.892
- type: recall_at_5
value: 53.698
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 31.715994496712955
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 22.014928355542406
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 52.73401198259723
- type: mrr
value: 66.18574946137272
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 78.32819163750328
- type: cos_sim_spearman
value: 76.32884763830812
- type: euclidean_pearson
value: 77.6247892757331
- type: euclidean_spearman
value: 76.32884763830812
- type: manhattan_pearson
value: 77.4560490620549
- type: manhattan_spearman
value: 76.11679461376502
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 72.16883116883118
- type: f1
value: 71.34298475263475
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 29.528784676707033
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 19.565519101446977
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 21.581
- type: map_at_10
value: 28.322999999999997
- type: map_at_100
value: 29.392000000000003
- type: map_at_1000
value: 29.547
- type: map_at_3
value: 26.214
- type: map_at_5
value: 27.339000000000002
- type: mrr_at_1
value: 27.182000000000002
- type: mrr_at_10
value: 34.075
- type: mrr_at_100
value: 34.92
- type: mrr_at_1000
value: 34.997
- type: mrr_at_3
value: 32.26
- type: mrr_at_5
value: 33.283
- type: ndcg_at_1
value: 27.182000000000002
- type: ndcg_at_10
value: 32.903999999999996
- type: ndcg_at_100
value: 37.852999999999994
- type: ndcg_at_1000
value: 41.177
- type: ndcg_at_3
value: 29.976999999999997
- type: ndcg_at_5
value: 31.039
- type: precision_at_1
value: 27.182000000000002
- type: precision_at_10
value: 6.194999999999999
- type: precision_at_100
value: 1.09
- type: precision_at_1000
value: 0.167
- type: precision_at_3
value: 14.354
- type: precision_at_5
value: 10.157
- type: recall_at_1
value: 21.581
- type: recall_at_10
value: 40.487
- type: recall_at_100
value: 62.832
- type: recall_at_1000
value: 85.768
- type: recall_at_3
value: 30.842000000000002
- type: recall_at_5
value: 34.497
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 16.495
- type: map_at_10
value: 21.625
- type: map_at_100
value: 22.506
- type: map_at_1000
value: 22.633
- type: map_at_3
value: 19.819
- type: map_at_5
value: 20.817
- type: mrr_at_1
value: 20.892
- type: mrr_at_10
value: 25.768
- type: mrr_at_100
value: 26.533
- type: mrr_at_1000
value: 26.61
- type: mrr_at_3
value: 23.96
- type: mrr_at_5
value: 24.893
- type: ndcg_at_1
value: 20.892
- type: ndcg_at_10
value: 25.144
- type: ndcg_at_100
value: 29.425
- type: ndcg_at_1000
value: 32.436
- type: ndcg_at_3
value: 22.105
- type: ndcg_at_5
value: 23.416
- type: precision_at_1
value: 20.892
- type: precision_at_10
value: 4.6240000000000006
- type: precision_at_100
value: 0.8500000000000001
- type: precision_at_1000
value: 0.136
- type: precision_at_3
value: 10.403
- type: precision_at_5
value: 7.4270000000000005
- type: recall_at_1
value: 16.495
- type: recall_at_10
value: 31.627
- type: recall_at_100
value: 50.653999999999996
- type: recall_at_1000
value: 71.38
- type: recall_at_3
value: 22.987
- type: recall_at_5
value: 26.518000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 25.19
- type: map_at_10
value: 33.159
- type: map_at_100
value: 34.223
- type: map_at_1000
value: 34.322
- type: map_at_3
value: 30.866
- type: map_at_5
value: 32.016
- type: mrr_at_1
value: 29.091
- type: mrr_at_10
value: 36.208
- type: mrr_at_100
value: 37.059999999999995
- type: mrr_at_1000
value: 37.124
- type: mrr_at_3
value: 34.001999999999995
- type: mrr_at_5
value: 35.089999999999996
- type: ndcg_at_1
value: 29.091
- type: ndcg_at_10
value: 37.696000000000005
- type: ndcg_at_100
value: 42.774
- type: ndcg_at_1000
value: 45.064
- type: ndcg_at_3
value: 33.298
- type: ndcg_at_5
value: 35.089
- type: precision_at_1
value: 29.091
- type: precision_at_10
value: 6.132
- type: precision_at_100
value: 0.9530000000000001
- type: precision_at_1000
value: 0.123
- type: precision_at_3
value: 14.754000000000001
- type: precision_at_5
value: 10.082
- type: recall_at_1
value: 25.19
- type: recall_at_10
value: 48.542
- type: recall_at_100
value: 71.475
- type: recall_at_1000
value: 88.157
- type: recall_at_3
value: 36.512
- type: recall_at_5
value: 40.998000000000005
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 10.979
- type: map_at_10
value: 15.160000000000002
- type: map_at_100
value: 15.927
- type: map_at_1000
value: 16.039
- type: map_at_3
value: 13.905000000000001
- type: map_at_5
value: 14.603
- type: mrr_at_1
value: 12.09
- type: mrr_at_10
value: 16.317999999999998
- type: mrr_at_100
value: 17.094
- type: mrr_at_1000
value: 17.198
- type: mrr_at_3
value: 15.028
- type: mrr_at_5
value: 15.712000000000002
- type: ndcg_at_1
value: 12.09
- type: ndcg_at_10
value: 17.71
- type: ndcg_at_100
value: 21.923000000000002
- type: ndcg_at_1000
value: 25.407999999999998
- type: ndcg_at_3
value: 15.139
- type: ndcg_at_5
value: 16.372
- type: precision_at_1
value: 12.09
- type: precision_at_10
value: 2.768
- type: precision_at_100
value: 0.521
- type: precision_at_1000
value: 0.087
- type: precision_at_3
value: 6.478000000000001
- type: precision_at_5
value: 4.542
- type: recall_at_1
value: 10.979
- type: recall_at_10
value: 24.548000000000002
- type: recall_at_100
value: 44.659
- type: recall_at_1000
value: 72.15899999999999
- type: recall_at_3
value: 17.552
- type: recall_at_5
value: 20.584
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.703
- type: map_at_10
value: 9.588000000000001
- type: map_at_100
value: 10.312000000000001
- type: map_at_1000
value: 10.428999999999998
- type: map_at_3
value: 8.473
- type: map_at_5
value: 9.118
- type: mrr_at_1
value: 8.706
- type: mrr_at_10
value: 11.818
- type: mrr_at_100
value: 12.568999999999999
- type: mrr_at_1000
value: 12.664
- type: mrr_at_3
value: 10.551
- type: mrr_at_5
value: 11.235000000000001
- type: ndcg_at_1
value: 8.706
- type: ndcg_at_10
value: 11.823
- type: ndcg_at_100
value: 15.674
- type: ndcg_at_1000
value: 19.256
- type: ndcg_at_3
value: 9.637
- type: ndcg_at_5
value: 10.661
- type: precision_at_1
value: 8.706
- type: precision_at_10
value: 2.251
- type: precision_at_100
value: 0.484
- type: precision_at_1000
value: 0.093
- type: precision_at_3
value: 4.601999999999999
- type: precision_at_5
value: 3.458
- type: recall_at_1
value: 6.703
- type: recall_at_10
value: 16.579
- type: recall_at_100
value: 34.054
- type: recall_at_1000
value: 60.769
- type: recall_at_3
value: 10.530000000000001
- type: recall_at_5
value: 13.126
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 17.688000000000002
- type: map_at_10
value: 23.169
- type: map_at_100
value: 24.275
- type: map_at_1000
value: 24.409
- type: map_at_3
value: 21.284
- type: map_at_5
value: 22.171
- type: mrr_at_1
value: 22.233
- type: mrr_at_10
value: 27.857
- type: mrr_at_100
value: 28.76
- type: mrr_at_1000
value: 28.841
- type: mrr_at_3
value: 25.857999999999997
- type: mrr_at_5
value: 26.922
- type: ndcg_at_1
value: 22.233
- type: ndcg_at_10
value: 27.203
- type: ndcg_at_100
value: 32.543
- type: ndcg_at_1000
value: 35.654
- type: ndcg_at_3
value: 23.863
- type: ndcg_at_5
value: 25.117
- type: precision_at_1
value: 22.233
- type: precision_at_10
value: 4.957000000000001
- type: precision_at_100
value: 0.919
- type: precision_at_1000
value: 0.13899999999999998
- type: precision_at_3
value: 11.036
- type: precision_at_5
value: 7.8149999999999995
- type: recall_at_1
value: 17.688000000000002
- type: recall_at_10
value: 34.969
- type: recall_at_100
value: 58.370999999999995
- type: recall_at_1000
value: 80.02
- type: recall_at_3
value: 25.332
- type: recall_at_5
value: 28.703
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 11.15
- type: map_at_10
value: 16.797
- type: map_at_100
value: 17.822
- type: map_at_1000
value: 17.956
- type: map_at_3
value: 14.985999999999999
- type: map_at_5
value: 16.044
- type: mrr_at_1
value: 14.155000000000001
- type: mrr_at_10
value: 20.01
- type: mrr_at_100
value: 20.966
- type: mrr_at_1000
value: 21.049
- type: mrr_at_3
value: 18.227
- type: mrr_at_5
value: 19.231
- type: ndcg_at_1
value: 14.155000000000001
- type: ndcg_at_10
value: 20.327
- type: ndcg_at_100
value: 25.490000000000002
- type: ndcg_at_1000
value: 28.854000000000003
- type: ndcg_at_3
value: 17.046
- type: ndcg_at_5
value: 18.647
- type: precision_at_1
value: 14.155000000000001
- type: precision_at_10
value: 3.893
- type: precision_at_100
value: 0.771
- type: precision_at_1000
value: 0.124
- type: precision_at_3
value: 8.219
- type: precision_at_5
value: 6.164
- type: recall_at_1
value: 11.15
- type: recall_at_10
value: 27.750999999999998
- type: recall_at_100
value: 50.612
- type: recall_at_1000
value: 74.617
- type: recall_at_3
value: 19.101000000000003
- type: recall_at_5
value: 22.999
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 13.562333333333335
- type: map_at_10
value: 18.514583333333334
- type: map_at_100
value: 19.362916666666667
- type: map_at_1000
value: 19.48625
- type: map_at_3
value: 16.955583333333337
- type: map_at_5
value: 17.788
- type: mrr_at_1
value: 16.54575
- type: mrr_at_10
value: 21.549249999999997
- type: mrr_at_100
value: 22.318500000000004
- type: mrr_at_1000
value: 22.405583333333333
- type: mrr_at_3
value: 19.9585
- type: mrr_at_5
value: 20.82183333333333
- type: ndcg_at_1
value: 16.54575
- type: ndcg_at_10
value: 21.80341666666667
- type: ndcg_at_100
value: 26.133833333333328
- type: ndcg_at_1000
value: 29.348666666666666
- type: ndcg_at_3
value: 18.973499999999998
- type: ndcg_at_5
value: 20.200833333333332
- type: precision_at_1
value: 16.54575
- type: precision_at_10
value: 3.895333333333334
- type: precision_at_100
value: 0.7226666666666668
- type: precision_at_1000
value: 0.11775
- type: precision_at_3
value: 8.796666666666667
- type: precision_at_5
value: 6.278083333333333
- type: recall_at_1
value: 13.562333333333335
- type: recall_at_10
value: 28.738833333333336
- type: recall_at_100
value: 48.66516666666668
- type: recall_at_1000
value: 72.21291666666666
- type: recall_at_3
value: 20.722166666666663
- type: recall_at_5
value: 23.920416666666668
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 10.612
- type: map_at_10
value: 14.233
- type: map_at_100
value: 14.804999999999998
- type: map_at_1000
value: 14.887
- type: map_at_3
value: 13.050999999999998
- type: map_at_5
value: 13.642999999999999
- type: mrr_at_1
value: 12.577
- type: mrr_at_10
value: 16.256999999999998
- type: mrr_at_100
value: 16.830000000000002
- type: mrr_at_1000
value: 16.909
- type: mrr_at_3
value: 15.031
- type: mrr_at_5
value: 15.613
- type: ndcg_at_1
value: 12.577
- type: ndcg_at_10
value: 16.81
- type: ndcg_at_100
value: 20.085
- type: ndcg_at_1000
value: 22.684
- type: ndcg_at_3
value: 14.471
- type: ndcg_at_5
value: 15.384
- type: precision_at_1
value: 12.577
- type: precision_at_10
value: 2.8529999999999998
- type: precision_at_100
value: 0.49699999999999994
- type: precision_at_1000
value: 0.079
- type: precision_at_3
value: 6.544
- type: precision_at_5
value: 4.601
- type: recall_at_1
value: 10.612
- type: recall_at_10
value: 22.983999999999998
- type: recall_at_100
value: 38.745000000000005
- type: recall_at_1000
value: 58.886
- type: recall_at_3
value: 15.982
- type: recall_at_5
value: 18.433
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.04
- type: map_at_10
value: 10.277
- type: map_at_100
value: 10.873
- type: map_at_1000
value: 10.989
- type: map_at_3
value: 9.243
- type: map_at_5
value: 9.843
- type: mrr_at_1
value: 8.774999999999999
- type: mrr_at_10
value: 12.468
- type: mrr_at_100
value: 13.084999999999999
- type: mrr_at_1000
value: 13.184000000000001
- type: mrr_at_3
value: 11.293000000000001
- type: mrr_at_5
value: 12.034
- type: ndcg_at_1
value: 8.774999999999999
- type: ndcg_at_10
value: 12.527
- type: ndcg_at_100
value: 15.939
- type: ndcg_at_1000
value: 19.383
- type: ndcg_at_3
value: 10.565
- type: ndcg_at_5
value: 11.555
- type: precision_at_1
value: 8.774999999999999
- type: precision_at_10
value: 2.3640000000000003
- type: precision_at_100
value: 0.49
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 5.047
- type: precision_at_5
value: 3.8129999999999997
- type: recall_at_1
value: 7.04
- type: recall_at_10
value: 17.193
- type: recall_at_100
value: 33.33
- type: recall_at_1000
value: 59.134
- type: recall_at_3
value: 11.859
- type: recall_at_5
value: 14.243
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 11.381
- type: map_at_10
value: 15.676000000000002
- type: map_at_100
value: 16.448999999999998
- type: map_at_1000
value: 16.563
- type: map_at_3
value: 14.313
- type: map_at_5
value: 15.010000000000002
- type: mrr_at_1
value: 14.086000000000002
- type: mrr_at_10
value: 18.621
- type: mrr_at_100
value: 19.41
- type: mrr_at_1000
value: 19.506999999999998
- type: mrr_at_3
value: 17.149
- type: mrr_at_5
value: 17.918
- type: ndcg_at_1
value: 14.086000000000002
- type: ndcg_at_10
value: 18.647
- type: ndcg_at_100
value: 22.823
- type: ndcg_at_1000
value: 26.207
- type: ndcg_at_3
value: 15.986
- type: ndcg_at_5
value: 17.108
- type: precision_at_1
value: 14.086000000000002
- type: precision_at_10
value: 3.218
- type: precision_at_100
value: 0.585
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 7.369000000000001
- type: precision_at_5
value: 5.187
- type: recall_at_1
value: 11.381
- type: recall_at_10
value: 25.008999999999997
- type: recall_at_100
value: 44.368
- type: recall_at_1000
value: 69.587
- type: recall_at_3
value: 17.612
- type: recall_at_5
value: 20.506
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 12.641
- type: map_at_10
value: 19.067
- type: map_at_100
value: 20.046
- type: map_at_1000
value: 20.221
- type: map_at_3
value: 17.699
- type: map_at_5
value: 18.458
- type: mrr_at_1
value: 16.008
- type: mrr_at_10
value: 22.526
- type: mrr_at_100
value: 23.307
- type: mrr_at_1000
value: 23.391000000000002
- type: mrr_at_3
value: 21.047
- type: mrr_at_5
value: 21.956999999999997
- type: ndcg_at_1
value: 16.008
- type: ndcg_at_10
value: 23.029
- type: ndcg_at_100
value: 27.533
- type: ndcg_at_1000
value: 31.096
- type: ndcg_at_3
value: 20.806
- type: ndcg_at_5
value: 21.859
- type: precision_at_1
value: 16.008
- type: precision_at_10
value: 4.605
- type: precision_at_100
value: 0.9939999999999999
- type: precision_at_1000
value: 0.182
- type: precision_at_3
value: 10.408000000000001
- type: precision_at_5
value: 7.470000000000001
- type: recall_at_1
value: 12.641
- type: recall_at_10
value: 30.236
- type: recall_at_100
value: 51.543000000000006
- type: recall_at_1000
value: 76.265
- type: recall_at_3
value: 23.677999999999997
- type: recall_at_5
value: 26.456000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 11.288
- type: map_at_10
value: 15.101
- type: map_at_100
value: 15.725
- type: map_at_1000
value: 15.840000000000002
- type: map_at_3
value: 13.614
- type: map_at_5
value: 14.394000000000002
- type: mrr_at_1
value: 12.753999999999998
- type: mrr_at_10
value: 16.665
- type: mrr_at_100
value: 17.288
- type: mrr_at_1000
value: 17.393
- type: mrr_at_3
value: 15.096000000000002
- type: mrr_at_5
value: 15.974
- type: ndcg_at_1
value: 12.753999999999998
- type: ndcg_at_10
value: 17.821
- type: ndcg_at_100
value: 21.544
- type: ndcg_at_1000
value: 24.965
- type: ndcg_at_3
value: 14.789
- type: ndcg_at_5
value: 16.163
- type: precision_at_1
value: 12.753999999999998
- type: precision_at_10
value: 2.884
- type: precision_at_100
value: 0.518
- type: precision_at_1000
value: 0.09
- type: precision_at_3
value: 6.346
- type: precision_at_5
value: 4.621
- type: recall_at_1
value: 11.288
- type: recall_at_10
value: 24.941
- type: recall_at_100
value: 43.339
- type: recall_at_1000
value: 69.813
- type: recall_at_3
value: 16.679
- type: recall_at_5
value: 19.982
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.319
- type: map_at_10
value: 9.538
- type: map_at_100
value: 10.786
- type: map_at_1000
value: 10.979
- type: map_at_3
value: 7.693999999999999
- type: map_at_5
value: 8.623
- type: mrr_at_1
value: 11.922
- type: mrr_at_10
value: 19.683
- type: mrr_at_100
value: 20.881
- type: mrr_at_1000
value: 20.961
- type: mrr_at_3
value: 17.014000000000003
- type: mrr_at_5
value: 18.47
- type: ndcg_at_1
value: 11.922
- type: ndcg_at_10
value: 14.517
- type: ndcg_at_100
value: 20.541999999999998
- type: ndcg_at_1000
value: 24.648999999999997
- type: ndcg_at_3
value: 10.975
- type: ndcg_at_5
value: 12.276
- type: precision_at_1
value: 11.922
- type: precision_at_10
value: 4.893
- type: precision_at_100
value: 1.129
- type: precision_at_1000
value: 0.187
- type: precision_at_3
value: 8.382000000000001
- type: precision_at_5
value: 6.801
- type: recall_at_1
value: 5.319
- type: recall_at_10
value: 18.593
- type: recall_at_100
value: 39.957
- type: recall_at_1000
value: 63.748000000000005
- type: recall_at_3
value: 10.314
- type: recall_at_5
value: 13.564000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 3.819
- type: map_at_10
value: 7.771999999999999
- type: map_at_100
value: 10.424999999999999
- type: map_at_1000
value: 11.165
- type: map_at_3
value: 5.586
- type: map_at_5
value: 6.524000000000001
- type: mrr_at_1
value: 34.75
- type: mrr_at_10
value: 43.289
- type: mrr_at_100
value: 44.184
- type: mrr_at_1000
value: 44.239
- type: mrr_at_3
value: 40.75
- type: mrr_at_5
value: 42.175000000000004
- type: ndcg_at_1
value: 25.5
- type: ndcg_at_10
value: 19.994
- type: ndcg_at_100
value: 21.802
- type: ndcg_at_1000
value: 28.086
- type: ndcg_at_3
value: 22.279
- type: ndcg_at_5
value: 20.986
- type: precision_at_1
value: 34.75
- type: precision_at_10
value: 17.65
- type: precision_at_100
value: 5.317
- type: precision_at_1000
value: 1.146
- type: precision_at_3
value: 25.75
- type: precision_at_5
value: 22.400000000000002
- type: recall_at_1
value: 3.819
- type: recall_at_10
value: 11.533
- type: recall_at_100
value: 26.484999999999996
- type: recall_at_1000
value: 47.63
- type: recall_at_3
value: 6.268999999999999
- type: recall_at_5
value: 8.218
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 43.69500000000001
- type: f1
value: 39.81935458907266
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 10.544
- type: map_at_10
value: 16.105
- type: map_at_100
value: 16.91
- type: map_at_1000
value: 16.993
- type: map_at_3
value: 14.273
- type: map_at_5
value: 15.259
- type: mrr_at_1
value: 11.206000000000001
- type: mrr_at_10
value: 17.129
- type: mrr_at_100
value: 17.955
- type: mrr_at_1000
value: 18.032999999999998
- type: mrr_at_3
value: 15.214
- type: mrr_at_5
value: 16.249
- type: ndcg_at_1
value: 11.206000000000001
- type: ndcg_at_10
value: 19.546
- type: ndcg_at_100
value: 23.934
- type: ndcg_at_1000
value: 26.356
- type: ndcg_at_3
value: 15.706999999999999
- type: ndcg_at_5
value: 17.488999999999997
- type: precision_at_1
value: 11.206000000000001
- type: precision_at_10
value: 3.195
- type: precision_at_100
value: 0.557
- type: precision_at_1000
value: 0.078
- type: precision_at_3
value: 6.7860000000000005
- type: precision_at_5
value: 4.997999999999999
- type: recall_at_1
value: 10.544
- type: recall_at_10
value: 29.421999999999997
- type: recall_at_100
value: 50.54
- type: recall_at_1000
value: 69.53200000000001
- type: recall_at_3
value: 18.901
- type: recall_at_5
value: 23.183999999999997
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 5.688
- type: map_at_10
value: 9.454
- type: map_at_100
value: 10.459
- type: map_at_1000
value: 10.645
- type: map_at_3
value: 7.914000000000001
- type: map_at_5
value: 8.622
- type: mrr_at_1
value: 11.42
- type: mrr_at_10
value: 16.608
- type: mrr_at_100
value: 17.566000000000003
- type: mrr_at_1000
value: 17.675
- type: mrr_at_3
value: 14.712
- type: mrr_at_5
value: 15.638
- type: ndcg_at_1
value: 11.42
- type: ndcg_at_10
value: 13.293
- type: ndcg_at_100
value: 18.289
- type: ndcg_at_1000
value: 22.781000000000002
- type: ndcg_at_3
value: 10.835
- type: ndcg_at_5
value: 11.576
- type: precision_at_1
value: 11.42
- type: precision_at_10
value: 3.997
- type: precision_at_100
value: 0.897
- type: precision_at_1000
value: 0.167
- type: precision_at_3
value: 7.356
- type: precision_at_5
value: 5.772
- type: recall_at_1
value: 5.688
- type: recall_at_10
value: 17.544
- type: recall_at_100
value: 37.358999999999995
- type: recall_at_1000
value: 65.735
- type: recall_at_3
value: 9.987
- type: recall_at_5
value: 12.337
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 13.248
- type: map_at_10
value: 18.584
- type: map_at_100
value: 19.348000000000003
- type: map_at_1000
value: 19.457
- type: map_at_3
value: 16.962
- type: map_at_5
value: 17.862000000000002
- type: mrr_at_1
value: 26.496
- type: mrr_at_10
value: 32.580999999999996
- type: mrr_at_100
value: 33.314
- type: mrr_at_1000
value: 33.387
- type: mrr_at_3
value: 30.808000000000003
- type: mrr_at_5
value: 31.805
- type: ndcg_at_1
value: 26.496
- type: ndcg_at_10
value: 24.198
- type: ndcg_at_100
value: 28.017999999999997
- type: ndcg_at_1000
value: 30.839
- type: ndcg_at_3
value: 21.002000000000002
- type: ndcg_at_5
value: 22.547
- type: precision_at_1
value: 26.496
- type: precision_at_10
value: 5.415
- type: precision_at_100
value: 0.8500000000000001
- type: precision_at_1000
value: 0.123
- type: precision_at_3
value: 13.234000000000002
- type: precision_at_5
value: 9.164
- type: recall_at_1
value: 13.248
- type: recall_at_10
value: 27.076
- type: recall_at_100
value: 42.512
- type: recall_at_1000
value: 61.41799999999999
- type: recall_at_3
value: 19.851
- type: recall_at_5
value: 22.91
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 63.98560000000001
- type: ap
value: 59.217561950701445
- type: f1
value: 63.818409911217046
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 5.179
- type: map_at_10
value: 9.055
- type: map_at_100
value: 9.814
- type: map_at_1000
value: 9.911
- type: map_at_3
value: 7.631
- type: map_at_5
value: 8.415000000000001
- type: mrr_at_1
value: 5.3580000000000005
- type: mrr_at_10
value: 9.302000000000001
- type: mrr_at_100
value: 10.075000000000001
- type: mrr_at_1000
value: 10.169
- type: mrr_at_3
value: 7.856000000000001
- type: mrr_at_5
value: 8.654
- type: ndcg_at_1
value: 5.33
- type: ndcg_at_10
value: 11.491
- type: ndcg_at_100
value: 15.735
- type: ndcg_at_1000
value: 18.721
- type: ndcg_at_3
value: 8.522
- type: ndcg_at_5
value: 9.943
- type: precision_at_1
value: 5.33
- type: precision_at_10
value: 1.983
- type: precision_at_100
value: 0.42
- type: precision_at_1000
value: 0.068
- type: precision_at_3
value: 3.763
- type: precision_at_5
value: 2.9770000000000003
- type: recall_at_1
value: 5.179
- type: recall_at_10
value: 19.069
- type: recall_at_100
value: 39.946
- type: recall_at_1000
value: 64.031
- type: recall_at_3
value: 10.91
- type: recall_at_5
value: 14.334
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 89.25444596443229
- type: f1
value: 88.34114464691379
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 59.3251253989968
- type: f1
value: 39.879870396124964
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.90316072629455
- type: f1
value: 59.6419867903448
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 68.5474108944183
- type: f1
value: 67.13260105586494
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.08360278577924
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 23.539985814012603
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 28.52217790319968
- type: mrr
value: 29.375037759331086
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.202
- type: map_at_10
value: 6.216
- type: map_at_100
value: 7.902000000000001
- type: map_at_1000
value: 9.114
- type: map_at_3
value: 4.752
- type: map_at_5
value: 5.414
- type: mrr_at_1
value: 31.269000000000002
- type: mrr_at_10
value: 39.649
- type: mrr_at_100
value: 40.261
- type: mrr_at_1000
value: 40.338
- type: mrr_at_3
value: 37.049
- type: mrr_at_5
value: 38.643
- type: ndcg_at_1
value: 29.412
- type: ndcg_at_10
value: 21.224
- type: ndcg_at_100
value: 19.897000000000002
- type: ndcg_at_1000
value: 29.53
- type: ndcg_at_3
value: 24.635
- type: ndcg_at_5
value: 23.114
- type: precision_at_1
value: 31.269000000000002
- type: precision_at_10
value: 15.697
- type: precision_at_100
value: 5.842
- type: precision_at_1000
value: 1.8880000000000001
- type: precision_at_3
value: 23.013
- type: precision_at_5
value: 19.628
- type: recall_at_1
value: 3.202
- type: recall_at_10
value: 9.889000000000001
- type: recall_at_100
value: 21.366
- type: recall_at_1000
value: 56.267999999999994
- type: recall_at_3
value: 5.7459999999999996
- type: recall_at_5
value: 7.473000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 7.892
- type: map_at_10
value: 13.358999999999998
- type: map_at_100
value: 14.396
- type: map_at_1000
value: 14.499
- type: map_at_3
value: 11.335
- type: map_at_5
value: 12.375
- type: mrr_at_1
value: 8.98
- type: mrr_at_10
value: 14.762
- type: mrr_at_100
value: 15.787
- type: mrr_at_1000
value: 15.873000000000001
- type: mrr_at_3
value: 12.65
- type: mrr_at_5
value: 13.761000000000001
- type: ndcg_at_1
value: 8.98
- type: ndcg_at_10
value: 17.013
- type: ndcg_at_100
value: 22.582
- type: ndcg_at_1000
value: 25.546000000000003
- type: ndcg_at_3
value: 12.765
- type: ndcg_at_5
value: 14.662
- type: precision_at_1
value: 8.98
- type: precision_at_10
value: 3.152
- type: precision_at_100
value: 0.636
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 5.997
- type: precision_at_5
value: 4.652
- type: recall_at_1
value: 7.892
- type: recall_at_10
value: 27.081
- type: recall_at_100
value: 53.36300000000001
- type: recall_at_1000
value: 76.419
- type: recall_at_3
value: 15.623999999999999
- type: recall_at_5
value: 20.104
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 61.224999999999994
- type: map_at_10
value: 73.768
- type: map_at_100
value: 74.54899999999999
- type: map_at_1000
value: 74.588
- type: map_at_3
value: 70.845
- type: map_at_5
value: 72.61
- type: mrr_at_1
value: 70.63000000000001
- type: mrr_at_10
value: 78.204
- type: mrr_at_100
value: 78.469
- type: mrr_at_1000
value: 78.477
- type: mrr_at_3
value: 76.67500000000001
- type: mrr_at_5
value: 77.644
- type: ndcg_at_1
value: 70.61
- type: ndcg_at_10
value: 78.586
- type: ndcg_at_100
value: 80.852
- type: ndcg_at_1000
value: 81.32000000000001
- type: ndcg_at_3
value: 74.902
- type: ndcg_at_5
value: 76.787
- type: precision_at_1
value: 70.61
- type: precision_at_10
value: 11.904
- type: precision_at_100
value: 1.438
- type: precision_at_1000
value: 0.154
- type: precision_at_3
value: 32.503
- type: precision_at_5
value: 21.526
- type: recall_at_1
value: 61.224999999999994
- type: recall_at_10
value: 87.908
- type: recall_at_100
value: 96.63000000000001
- type: recall_at_1000
value: 99.367
- type: recall_at_3
value: 77.358
- type: recall_at_5
value: 82.584
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 33.05951893381823
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 42.691497046210955
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.585
- type: map_at_10
value: 5.988
- type: map_at_100
value: 7.21
- type: map_at_1000
value: 7.449999999999999
- type: map_at_3
value: 4.372
- type: map_at_5
value: 5.194
- type: mrr_at_1
value: 12.8
- type: mrr_at_10
value: 19.963
- type: mrr_at_100
value: 21.195
- type: mrr_at_1000
value: 21.29
- type: mrr_at_3
value: 17.533
- type: mrr_at_5
value: 18.853
- type: ndcg_at_1
value: 12.8
- type: ndcg_at_10
value: 10.874
- type: ndcg_at_100
value: 16.695
- type: ndcg_at_1000
value: 21.762999999999998
- type: ndcg_at_3
value: 10.209
- type: ndcg_at_5
value: 8.999
- type: precision_at_1
value: 12.8
- type: precision_at_10
value: 5.65
- type: precision_at_100
value: 1.411
- type: precision_at_1000
value: 0.264
- type: precision_at_3
value: 9.433
- type: precision_at_5
value: 7.88
- type: recall_at_1
value: 2.585
- type: recall_at_10
value: 11.455
- type: recall_at_100
value: 28.665000000000003
- type: recall_at_1000
value: 53.547999999999995
- type: recall_at_3
value: 5.748
- type: recall_at_5
value: 7.983
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.47089854443493
- type: cos_sim_spearman
value: 67.65881641628117
- type: euclidean_pearson
value: 72.75220596907191
- type: euclidean_spearman
value: 67.65881507675402
- type: manhattan_pearson
value: 71.2932268352905
- type: manhattan_spearman
value: 66.28937203768146
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 73.59904123111602
- type: cos_sim_spearman
value: 66.64191118455778
- type: euclidean_pearson
value: 70.031991407929
- type: euclidean_spearman
value: 66.64312867708462
- type: manhattan_pearson
value: 70.87113974670322
- type: manhattan_spearman
value: 67.87998624470126
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 77.1868454480634
- type: cos_sim_spearman
value: 78.5663631376088
- type: euclidean_pearson
value: 78.1441330499307
- type: euclidean_spearman
value: 78.5663753212518
- type: manhattan_pearson
value: 78.7258747377543
- type: manhattan_spearman
value: 79.24251325682667
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 77.39709143417873
- type: cos_sim_spearman
value: 74.33024682805708
- type: euclidean_pearson
value: 76.65457389990631
- type: euclidean_spearman
value: 74.33023713728515
- type: manhattan_pearson
value: 76.73342787471654
- type: manhattan_spearman
value: 74.74461118652161
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 79.9395037638594
- type: cos_sim_spearman
value: 81.01819776486752
- type: euclidean_pearson
value: 81.03043241994847
- type: euclidean_spearman
value: 81.01819627953365
- type: manhattan_pearson
value: 81.68968136619384
- type: manhattan_spearman
value: 81.82363999592259
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 75.243504336461
- type: cos_sim_spearman
value: 76.61917655422197
- type: euclidean_pearson
value: 76.26910712210864
- type: euclidean_spearman
value: 76.62000560376505
- type: manhattan_pearson
value: 76.91613259757325
- type: manhattan_spearman
value: 77.4215820608173
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 82.99178286054092
- type: cos_sim_spearman
value: 84.2361483019332
- type: euclidean_pearson
value: 84.30885968598922
- type: euclidean_spearman
value: 84.23702233300253
- type: manhattan_pearson
value: 84.64734537899606
- type: manhattan_spearman
value: 84.71355882886535
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 63.18741235485141
- type: cos_sim_spearman
value: 60.873579764468225
- type: euclidean_pearson
value: 63.18427359110471
- type: euclidean_spearman
value: 60.873579764468225
- type: manhattan_pearson
value: 63.443408253414354
- type: manhattan_spearman
value: 61.5997912341628
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 77.15144919426055
- type: cos_sim_spearman
value: 75.76050778643061
- type: euclidean_pearson
value: 77.30073366013343
- type: euclidean_spearman
value: 75.76052625455534
- type: manhattan_pearson
value: 77.41746598074477
- type: manhattan_spearman
value: 75.98770131791319
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 70.66070662385174
- type: mrr
value: 90.05894523051387
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 31.139
- type: map_at_10
value: 38.127
- type: map_at_100
value: 39.216
- type: map_at_1000
value: 39.290000000000006
- type: map_at_3
value: 35.667
- type: map_at_5
value: 37.317
- type: mrr_at_1
value: 33.333
- type: mrr_at_10
value: 39.972
- type: mrr_at_100
value: 40.892
- type: mrr_at_1000
value: 40.955000000000005
- type: mrr_at_3
value: 37.889
- type: mrr_at_5
value: 39.222
- type: ndcg_at_1
value: 33.333
- type: ndcg_at_10
value: 42.177
- type: ndcg_at_100
value: 47.772999999999996
- type: ndcg_at_1000
value: 49.738
- type: ndcg_at_3
value: 37.568
- type: ndcg_at_5
value: 40.294999999999995
- type: precision_at_1
value: 33.333
- type: precision_at_10
value: 5.867
- type: precision_at_100
value: 0.903
- type: precision_at_1000
value: 0.107
- type: precision_at_3
value: 14.777999999999999
- type: precision_at_5
value: 10.4
- type: recall_at_1
value: 31.139
- type: recall_at_10
value: 53.056000000000004
- type: recall_at_100
value: 79.60000000000001
- type: recall_at_1000
value: 95.133
- type: recall_at_3
value: 40.75
- type: recall_at_5
value: 47.417
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.63663366336634
- type: cos_sim_ap
value: 87.41569381811651
- type: cos_sim_f1
value: 80.8154730789336
- type: cos_sim_precision
value: 84.66593647316539
- type: cos_sim_recall
value: 77.3
- type: dot_accuracy
value: 99.63663366336634
- type: dot_ap
value: 87.41569381811651
- type: dot_f1
value: 80.8154730789336
- type: dot_precision
value: 84.66593647316539
- type: dot_recall
value: 77.3
- type: euclidean_accuracy
value: 99.63663366336634
- type: euclidean_ap
value: 87.41569381811651
- type: euclidean_f1
value: 80.8154730789336
- type: euclidean_precision
value: 84.66593647316539
- type: euclidean_recall
value: 77.3
- type: manhattan_accuracy
value: 99.6930693069307
- type: manhattan_ap
value: 90.67306262109962
- type: manhattan_f1
value: 84.03707518022657
- type: manhattan_precision
value: 86.62420382165605
- type: manhattan_recall
value: 81.6
- type: max_accuracy
value: 99.6930693069307
- type: max_ap
value: 90.67306262109962
- type: max_f1
value: 84.03707518022657
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 36.46819467809413
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.142679626551587
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.08118718504021
- type: mrr
value: 43.547356442577026
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.26989671913281
- type: cos_sim_spearman
value: 30.01993799277349
- type: dot_pearson
value: 30.26989672303903
- type: dot_spearman
value: 30.03106981258351
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.133
- type: map_at_10
value: 0.707
- type: map_at_100
value: 3.759
- type: map_at_1000
value: 9.02
- type: map_at_3
value: 0.27399999999999997
- type: map_at_5
value: 0.4
- type: mrr_at_1
value: 54
- type: mrr_at_10
value: 61.147
- type: mrr_at_100
value: 62.076
- type: mrr_at_1000
value: 62.076
- type: mrr_at_3
value: 57.99999999999999
- type: mrr_at_5
value: 59.3
- type: ndcg_at_1
value: 44
- type: ndcg_at_10
value: 36.039
- type: ndcg_at_100
value: 28.122999999999998
- type: ndcg_at_1000
value: 25.650000000000002
- type: ndcg_at_3
value: 38.173
- type: ndcg_at_5
value: 37.35
- type: precision_at_1
value: 52
- type: precision_at_10
value: 39.4
- type: precision_at_100
value: 29.82
- type: precision_at_1000
value: 12.690000000000001
- type: precision_at_3
value: 42
- type: precision_at_5
value: 40.400000000000006
- type: recall_at_1
value: 0.133
- type: recall_at_10
value: 0.897
- type: recall_at_100
value: 6.336
- type: recall_at_1000
value: 24.990000000000002
- type: recall_at_3
value: 0.301
- type: recall_at_5
value: 0.462
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.664
- type: map_at_10
value: 8.95
- type: map_at_100
value: 14.699000000000002
- type: map_at_1000
value: 16.275000000000002
- type: map_at_3
value: 4.963
- type: map_at_5
value: 6.707000000000001
- type: mrr_at_1
value: 36.735
- type: mrr_at_10
value: 48.016
- type: mrr_at_100
value: 48.826
- type: mrr_at_1000
value: 48.826
- type: mrr_at_3
value: 44.558
- type: mrr_at_5
value: 46.394999999999996
- type: ndcg_at_1
value: 33.672999999999995
- type: ndcg_at_10
value: 21.981
- type: ndcg_at_100
value: 35.227000000000004
- type: ndcg_at_1000
value: 46.428999999999995
- type: ndcg_at_3
value: 27.496
- type: ndcg_at_5
value: 24.886
- type: precision_at_1
value: 36.735
- type: precision_at_10
value: 19.184
- type: precision_at_100
value: 7.754999999999999
- type: precision_at_1000
value: 1.486
- type: precision_at_3
value: 27.891
- type: precision_at_5
value: 24.898
- type: recall_at_1
value: 2.664
- type: recall_at_10
value: 13.309999999999999
- type: recall_at_100
value: 46.727000000000004
- type: recall_at_1000
value: 81.158
- type: recall_at_3
value: 5.872
- type: recall_at_5
value: 8.694
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 69.86019999999999
- type: ap
value: 13.439585186117995
- type: f1
value: 53.53111224664294
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 53.539898132427844
- type: f1
value: 53.736121370681076
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 33.790329189415395
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.59063002920665
- type: cos_sim_ap
value: 65.1646758019036
- type: cos_sim_f1
value: 61.95799041886746
- type: cos_sim_precision
value: 57.96368650884855
- type: cos_sim_recall
value: 66.54353562005278
- type: dot_accuracy
value: 83.59063002920665
- type: dot_ap
value: 65.1646758019036
- type: dot_f1
value: 61.95799041886746
- type: dot_precision
value: 57.96368650884855
- type: dot_recall
value: 66.54353562005278
- type: euclidean_accuracy
value: 83.59063002920665
- type: euclidean_ap
value: 65.1646758019036
- type: euclidean_f1
value: 61.95799041886746
- type: euclidean_precision
value: 57.96368650884855
- type: euclidean_recall
value: 66.54353562005278
- type: manhattan_accuracy
value: 83.29856350956668
- type: manhattan_ap
value: 63.803561536283404
- type: manhattan_f1
value: 60.45279383429673
- type: manhattan_precision
value: 55.60478511298184
- type: manhattan_recall
value: 66.2269129287599
- type: max_accuracy
value: 83.59063002920665
- type: max_ap
value: 65.1646758019036
- type: max_f1
value: 61.95799041886746
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.46264602010324
- type: cos_sim_ap
value: 82.64331601180713
- type: cos_sim_f1
value: 74.66489420627008
- type: cos_sim_precision
value: 71.73774214148868
- type: cos_sim_recall
value: 77.8410840776101
- type: dot_accuracy
value: 87.46264602010324
- type: dot_ap
value: 82.64331811121104
- type: dot_f1
value: 74.66489420627008
- type: dot_precision
value: 71.73774214148868
- type: dot_recall
value: 77.8410840776101
- type: euclidean_accuracy
value: 87.46264602010324
- type: euclidean_ap
value: 82.64331792274162
- type: euclidean_f1
value: 74.66489420627008
- type: euclidean_precision
value: 71.73774214148868
- type: euclidean_recall
value: 77.8410840776101
- type: manhattan_accuracy
value: 87.35203943027904
- type: manhattan_ap
value: 82.69548093072707
- type: manhattan_f1
value: 74.90158915293776
- type: manhattan_precision
value: 71.1171096345515
- type: manhattan_recall
value: 79.11148752694795
- type: max_accuracy
value: 87.46264602010324
- type: max_ap
value: 82.69548093072707
- type: max_f1
value: 74.90158915293776