metadata
pipeline_tag: sentence-similarity
tags:
- mteb
model-index:
- name: sent2vec_main
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 76.08955223880598
- type: ap
value: 40.20915202871001
- type: f1
value: 70.4429232238474
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 64.50915
- type: ap
value: 60.2117357756878
- type: f1
value: 63.67969617829059
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 32.068
- type: f1
value: 31.04127014908394
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 16.999
- type: map_at_10
value: 29.578
- type: map_at_100
value: 30.833
- type: map_at_1000
value: 30.875999999999998
- type: map_at_3
value: 25.568999999999996
- type: map_at_5
value: 27.639000000000003
- type: mrr_at_1
value: 17.496000000000002
- type: mrr_at_10
value: 29.759999999999998
- type: mrr_at_100
value: 31.014000000000003
- type: mrr_at_1000
value: 31.057000000000002
- type: mrr_at_3
value: 25.735000000000003
- type: mrr_at_5
value: 27.819
- type: ndcg_at_1
value: 16.999
- type: ndcg_at_10
value: 36.963
- type: ndcg_at_100
value: 43.04
- type: ndcg_at_1000
value: 44.193
- type: ndcg_at_3
value: 28.474
- type: ndcg_at_5
value: 32.214
- type: precision_at_1
value: 16.999
- type: precision_at_10
value: 6.081
- type: precision_at_100
value: 0.8909999999999999
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 12.304
- type: precision_at_5
value: 9.203
- type: recall_at_1
value: 16.999
- type: recall_at_10
value: 60.81100000000001
- type: recall_at_100
value: 89.118
- type: recall_at_1000
value: 98.222
- type: recall_at_3
value: 36.913000000000004
- type: recall_at_5
value: 46.017
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 38.31374272955139
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 27.560749219146825
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 50.09268232764077
- type: mrr
value: 63.88196368113266
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 54.94383374711268
- type: cos_sim_spearman
value: 55.2012577981062
- type: euclidean_pearson
value: 32.59396212870573
- type: euclidean_spearman
value: 39.225592576917336
- type: manhattan_pearson
value: 32.7408709072666
- type: manhattan_spearman
value: 39.742471824241136
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 70.88311688311688
- type: f1
value: 70.83929221583213
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 33.345307198335675
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 24.176637733738467
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 18.289
- type: map_at_10
value: 24.321
- type: map_at_100
value: 25.241999999999997
- type: map_at_1000
value: 25.394
- type: map_at_3
value: 22.570999999999998
- type: map_at_5
value: 23.491999999999997
- type: mrr_at_1
value: 23.176
- type: mrr_at_10
value: 29.019000000000002
- type: mrr_at_100
value: 29.781000000000002
- type: mrr_at_1000
value: 29.874000000000002
- type: mrr_at_3
value: 27.444000000000003
- type: mrr_at_5
value: 28.224
- type: ndcg_at_1
value: 23.176
- type: ndcg_at_10
value: 28.28
- type: ndcg_at_100
value: 32.598
- type: ndcg_at_1000
value: 36.064
- type: ndcg_at_3
value: 25.627
- type: ndcg_at_5
value: 26.589000000000002
- type: precision_at_1
value: 23.176
- type: precision_at_10
value: 5.236
- type: precision_at_100
value: 0.906
- type: precision_at_1000
value: 0.149
- type: precision_at_3
value: 12.065
- type: precision_at_5
value: 8.526
- type: recall_at_1
value: 18.289
- type: recall_at_10
value: 35.281
- type: recall_at_100
value: 54.63400000000001
- type: recall_at_1000
value: 78.901
- type: recall_at_3
value: 26.790999999999997
- type: recall_at_5
value: 29.894
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 16.345000000000002
- type: map_at_10
value: 21.703
- type: map_at_100
value: 22.656000000000002
- type: map_at_1000
value: 22.772000000000002
- type: map_at_3
value: 20.02
- type: map_at_5
value: 20.855999999999998
- type: mrr_at_1
value: 21.146
- type: mrr_at_10
value: 26.389000000000003
- type: mrr_at_100
value: 27.128999999999998
- type: mrr_at_1000
value: 27.200000000000003
- type: mrr_at_3
value: 24.724
- type: mrr_at_5
value: 25.624999999999996
- type: ndcg_at_1
value: 21.146
- type: ndcg_at_10
value: 25.361
- type: ndcg_at_100
value: 29.648000000000003
- type: ndcg_at_1000
value: 32.446000000000005
- type: ndcg_at_3
value: 22.628
- type: ndcg_at_5
value: 23.711
- type: precision_at_1
value: 21.146
- type: precision_at_10
value: 4.752
- type: precision_at_100
value: 0.885
- type: precision_at_1000
value: 0.13699999999999998
- type: precision_at_3
value: 10.934000000000001
- type: precision_at_5
value: 7.693999999999999
- type: recall_at_1
value: 16.345000000000002
- type: recall_at_10
value: 31.602000000000004
- type: recall_at_100
value: 50.501
- type: recall_at_1000
value: 70.082
- type: recall_at_3
value: 23.214000000000002
- type: recall_at_5
value: 26.476
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 23.907
- type: map_at_10
value: 31.323
- type: map_at_100
value: 32.302
- type: map_at_1000
value: 32.391
- type: map_at_3
value: 29.067999999999998
- type: map_at_5
value: 30.320999999999998
- type: mrr_at_1
value: 27.084999999999997
- type: mrr_at_10
value: 33.934
- type: mrr_at_100
value: 34.792
- type: mrr_at_1000
value: 34.855000000000004
- type: mrr_at_3
value: 31.839000000000002
- type: mrr_at_5
value: 33.049
- type: ndcg_at_1
value: 27.084999999999997
- type: ndcg_at_10
value: 35.587
- type: ndcg_at_100
value: 40.37
- type: ndcg_at_1000
value: 42.501
- type: ndcg_at_3
value: 31.385
- type: ndcg_at_5
value: 33.364
- type: precision_at_1
value: 27.084999999999997
- type: precision_at_10
value: 5.749
- type: precision_at_100
value: 0.89
- type: precision_at_1000
value: 0.11499999999999999
- type: precision_at_3
value: 13.793
- type: precision_at_5
value: 9.555
- type: recall_at_1
value: 23.907
- type: recall_at_10
value: 45.953
- type: recall_at_100
value: 67.647
- type: recall_at_1000
value: 83.00800000000001
- type: recall_at_3
value: 34.587
- type: recall_at_5
value: 39.516
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 9.209
- type: map_at_10
value: 12.376
- type: map_at_100
value: 13.123999999999999
- type: map_at_1000
value: 13.232
- type: map_at_3
value: 11.328000000000001
- type: map_at_5
value: 11.934000000000001
- type: mrr_at_1
value: 9.944
- type: mrr_at_10
value: 13.254
- type: mrr_at_100
value: 14.041
- type: mrr_at_1000
value: 14.14
- type: mrr_at_3
value: 12.203
- type: mrr_at_5
value: 12.808
- type: ndcg_at_1
value: 9.944
- type: ndcg_at_10
value: 14.302999999999999
- type: ndcg_at_100
value: 18.289
- type: ndcg_at_1000
value: 21.494
- type: ndcg_at_3
value: 12.211
- type: ndcg_at_5
value: 13.26
- type: precision_at_1
value: 9.944
- type: precision_at_10
value: 2.237
- type: precision_at_100
value: 0.44400000000000006
- type: precision_at_1000
value: 0.076
- type: precision_at_3
value: 5.1979999999999995
- type: precision_at_5
value: 3.7289999999999996
- type: recall_at_1
value: 9.209
- type: recall_at_10
value: 19.426
- type: recall_at_100
value: 38.268
- type: recall_at_1000
value: 63.400999999999996
- type: recall_at_3
value: 13.822999999999999
- type: recall_at_5
value: 16.262
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 4.894
- type: map_at_10
value: 8.065
- type: map_at_100
value: 8.776
- type: map_at_1000
value: 8.892
- type: map_at_3
value: 6.998
- type: map_at_5
value: 7.632999999999999
- type: mrr_at_1
value: 6.5920000000000005
- type: mrr_at_10
value: 10.409
- type: mrr_at_100
value: 11.185
- type: mrr_at_1000
value: 11.283
- type: mrr_at_3
value: 9.121
- type: mrr_at_5
value: 9.83
- type: ndcg_at_1
value: 6.5920000000000005
- type: ndcg_at_10
value: 10.349
- type: ndcg_at_100
value: 14.243
- type: ndcg_at_1000
value: 17.638
- type: ndcg_at_3
value: 8.277
- type: ndcg_at_5
value: 9.286999999999999
- type: precision_at_1
value: 6.5920000000000005
- type: precision_at_10
value: 2.139
- type: precision_at_100
value: 0.48
- type: precision_at_1000
value: 0.08800000000000001
- type: precision_at_3
value: 4.353
- type: precision_at_5
value: 3.3329999999999997
- type: recall_at_1
value: 4.894
- type: recall_at_10
value: 15.133
- type: recall_at_100
value: 32.687
- type: recall_at_1000
value: 58.281000000000006
- type: recall_at_3
value: 9.399000000000001
- type: recall_at_5
value: 11.971
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.002000000000002
- type: map_at_10
value: 22.833000000000002
- type: map_at_100
value: 23.989
- type: map_at_1000
value: 24.126
- type: map_at_3
value: 21.093999999999998
- type: map_at_5
value: 22.105
- type: mrr_at_1
value: 21.848
- type: mrr_at_10
value: 26.978
- type: mrr_at_100
value: 27.967
- type: mrr_at_1000
value: 28.050000000000004
- type: mrr_at_3
value: 25.217
- type: mrr_at_5
value: 26.184
- type: ndcg_at_1
value: 21.848
- type: ndcg_at_10
value: 26.412000000000003
- type: ndcg_at_100
value: 32.193
- type: ndcg_at_1000
value: 35.429
- type: ndcg_at_3
value: 23.419
- type: ndcg_at_5
value: 24.866
- type: precision_at_1
value: 21.848
- type: precision_at_10
value: 4.61
- type: precision_at_100
value: 0.894
- type: precision_at_1000
value: 0.13699999999999998
- type: precision_at_3
value: 10.619
- type: precision_at_5
value: 7.603
- type: recall_at_1
value: 18.002000000000002
- type: recall_at_10
value: 33.256
- type: recall_at_100
value: 58.913000000000004
- type: recall_at_1000
value: 81.596
- type: recall_at_3
value: 24.73
- type: recall_at_5
value: 28.571
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 12.327
- type: map_at_10
value: 16.701
- type: map_at_100
value: 17.706
- type: map_at_1000
value: 17.849999999999998
- type: map_at_3
value: 15.065999999999999
- type: map_at_5
value: 16.012999999999998
- type: mrr_at_1
value: 15.183
- type: mrr_at_10
value: 19.828000000000003
- type: mrr_at_100
value: 20.752000000000002
- type: mrr_at_1000
value: 20.848
- type: mrr_at_3
value: 18.189
- type: mrr_at_5
value: 19.067999999999998
- type: ndcg_at_1
value: 15.183
- type: ndcg_at_10
value: 19.799
- type: ndcg_at_100
value: 24.886
- type: ndcg_at_1000
value: 28.453
- type: ndcg_at_3
value: 16.794999999999998
- type: ndcg_at_5
value: 18.176000000000002
- type: precision_at_1
value: 15.183
- type: precision_at_10
value: 3.642
- type: precision_at_100
value: 0.726
- type: precision_at_1000
value: 0.124
- type: precision_at_3
value: 7.800999999999999
- type: precision_at_5
value: 5.799
- type: recall_at_1
value: 12.327
- type: recall_at_10
value: 26.215
- type: recall_at_100
value: 49.038
- type: recall_at_1000
value: 74.297
- type: recall_at_3
value: 18.099999999999998
- type: recall_at_5
value: 21.438
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 8.457
- type: map_at_10
value: 12.277000000000001
- type: map_at_100
value: 12.956999999999999
- type: map_at_1000
value: 13.052
- type: map_at_3
value: 10.931000000000001
- type: map_at_5
value: 11.578
- type: mrr_at_1
value: 10.428999999999998
- type: mrr_at_10
value: 14.289
- type: mrr_at_100
value: 15.023
- type: mrr_at_1000
value: 15.109
- type: mrr_at_3
value: 13.139000000000001
- type: mrr_at_5
value: 13.691
- type: ndcg_at_1
value: 10.428999999999998
- type: ndcg_at_10
value: 14.753
- type: ndcg_at_100
value: 18.581
- type: ndcg_at_1000
value: 21.272
- type: ndcg_at_3
value: 12.399000000000001
- type: ndcg_at_5
value: 13.297
- type: precision_at_1
value: 10.428999999999998
- type: precision_at_10
value: 2.6229999999999998
- type: precision_at_100
value: 0.49100000000000005
- type: precision_at_1000
value: 0.079
- type: precision_at_3
value: 5.827999999999999
- type: precision_at_5
value: 4.141
- type: recall_at_1
value: 8.457
- type: recall_at_10
value: 20.515
- type: recall_at_100
value: 38.675
- type: recall_at_1000
value: 58.999
- type: recall_at_3
value: 13.779
- type: recall_at_5
value: 16.13
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 6.755999999999999
- type: map_at_10
value: 9.440999999999999
- type: map_at_100
value: 10.006
- type: map_at_1000
value: 10.116
- type: map_at_3
value: 8.423
- type: map_at_5
value: 8.976
- type: mrr_at_1
value: 8.706
- type: mrr_at_10
value: 11.613
- type: mrr_at_100
value: 12.2
- type: mrr_at_1000
value: 12.293
- type: mrr_at_3
value: 10.57
- type: mrr_at_5
value: 11.124
- type: ndcg_at_1
value: 8.706
- type: ndcg_at_10
value: 11.529
- type: ndcg_at_100
value: 14.59
- type: ndcg_at_1000
value: 17.8
- type: ndcg_at_3
value: 9.666
- type: ndcg_at_5
value: 10.471
- type: precision_at_1
value: 8.706
- type: precision_at_10
value: 2.182
- type: precision_at_100
value: 0.44999999999999996
- type: precision_at_1000
value: 0.087
- type: precision_at_3
value: 4.611
- type: precision_at_5
value: 3.4070000000000005
- type: recall_at_1
value: 6.755999999999999
- type: recall_at_10
value: 15.803
- type: recall_at_100
value: 30.062
- type: recall_at_1000
value: 54.057
- type: recall_at_3
value: 10.401
- type: recall_at_5
value: 12.559999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 11.104
- type: map_at_10
value: 13.952
- type: map_at_100
value: 14.631
- type: map_at_1000
value: 14.735999999999999
- type: map_at_3
value: 12.895999999999999
- type: map_at_5
value: 13.447999999999999
- type: mrr_at_1
value: 13.34
- type: mrr_at_10
value: 16.384
- type: mrr_at_100
value: 17.064
- type: mrr_at_1000
value: 17.161
- type: mrr_at_3
value: 15.235999999999999
- type: mrr_at_5
value: 15.828999999999999
- type: ndcg_at_1
value: 13.34
- type: ndcg_at_10
value: 16.172
- type: ndcg_at_100
value: 20.012
- type: ndcg_at_1000
value: 23.247999999999998
- type: ndcg_at_3
value: 14.149999999999999
- type: ndcg_at_5
value: 15.001000000000001
- type: precision_at_1
value: 13.34
- type: precision_at_10
value: 2.649
- type: precision_at_100
value: 0.508
- type: precision_at_1000
value: 0.08800000000000001
- type: precision_at_3
value: 6.311999999999999
- type: precision_at_5
value: 4.347
- type: recall_at_1
value: 11.104
- type: recall_at_10
value: 20.756
- type: recall_at_100
value: 39.066
- type: recall_at_1000
value: 63.626000000000005
- type: recall_at_3
value: 14.943999999999999
- type: recall_at_5
value: 17.331
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 13.211999999999998
- type: map_at_10
value: 17.443
- type: map_at_100
value: 18.364
- type: map_at_1000
value: 18.55
- type: map_at_3
value: 16.042
- type: map_at_5
value: 16.885
- type: mrr_at_1
value: 16.403000000000002
- type: mrr_at_10
value: 20.865000000000002
- type: mrr_at_100
value: 21.624
- type: mrr_at_1000
value: 21.718
- type: mrr_at_3
value: 19.401
- type: mrr_at_5
value: 20.25
- type: ndcg_at_1
value: 16.403000000000002
- type: ndcg_at_10
value: 20.677
- type: ndcg_at_100
value: 24.727
- type: ndcg_at_1000
value: 28.391
- type: ndcg_at_3
value: 18.382
- type: ndcg_at_5
value: 19.572
- type: precision_at_1
value: 16.403000000000002
- type: precision_at_10
value: 3.755
- type: precision_at_100
value: 0.9209999999999999
- type: precision_at_1000
value: 0.172
- type: precision_at_3
value: 8.498
- type: precision_at_5
value: 6.2059999999999995
- type: recall_at_1
value: 13.211999999999998
- type: recall_at_10
value: 26.532
- type: recall_at_100
value: 45.253
- type: recall_at_1000
value: 70.62
- type: recall_at_3
value: 19.024
- type: recall_at_5
value: 22.448999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 8.386000000000001
- type: map_at_10
value: 11.834999999999999
- type: map_at_100
value: 12.559999999999999
- type: map_at_1000
value: 12.662999999999998
- type: map_at_3
value: 10.632
- type: map_at_5
value: 11.343
- type: mrr_at_1
value: 9.612
- type: mrr_at_10
value: 13.158
- type: mrr_at_100
value: 13.888
- type: mrr_at_1000
value: 13.988
- type: mrr_at_3
value: 12.015
- type: mrr_at_5
value: 12.662
- type: ndcg_at_1
value: 9.612
- type: ndcg_at_10
value: 14.155000000000001
- type: ndcg_at_100
value: 18.174
- type: ndcg_at_1000
value: 21.448
- type: ndcg_at_3
value: 11.755
- type: ndcg_at_5
value: 12.955
- type: precision_at_1
value: 9.612
- type: precision_at_10
value: 2.311
- type: precision_at_100
value: 0.464
- type: precision_at_1000
value: 0.08
- type: precision_at_3
value: 5.176
- type: precision_at_5
value: 3.8080000000000003
- type: recall_at_1
value: 8.386000000000001
- type: recall_at_10
value: 20.225
- type: recall_at_100
value: 39.532000000000004
- type: recall_at_1000
value: 65.33
- type: recall_at_3
value: 13.629
- type: recall_at_5
value: 16.556
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 8.164
- type: map_at_10
value: 14.027999999999999
- type: map_at_100
value: 15.817
- type: map_at_1000
value: 16.047
- type: map_at_3
value: 11.501
- type: map_at_5
value: 12.674
- type: mrr_at_1
value: 18.502
- type: mrr_at_10
value: 28.503
- type: mrr_at_100
value: 29.686
- type: mrr_at_1000
value: 29.742
- type: mrr_at_3
value: 24.995
- type: mrr_at_5
value: 26.76
- type: ndcg_at_1
value: 18.502
- type: ndcg_at_10
value: 20.954
- type: ndcg_at_100
value: 28.532999999999998
- type: ndcg_at_1000
value: 32.732
- type: ndcg_at_3
value: 16.3
- type: ndcg_at_5
value: 17.681
- type: precision_at_1
value: 18.502
- type: precision_at_10
value: 6.977
- type: precision_at_100
value: 1.496
- type: precision_at_1000
value: 0.22599999999999998
- type: precision_at_3
value: 12.313
- type: precision_at_5
value: 9.668000000000001
- type: recall_at_1
value: 8.164
- type: recall_at_10
value: 26.41
- type: recall_at_100
value: 52.81
- type: recall_at_1000
value: 76.554
- type: recall_at_3
value: 14.974000000000002
- type: recall_at_5
value: 18.961
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 3.769
- type: map_at_10
value: 9.778
- type: map_at_100
value: 14.66
- type: map_at_1000
value: 15.863
- type: map_at_3
value: 6.691999999999999
- type: map_at_5
value: 8.03
- type: mrr_at_1
value: 39.5
- type: mrr_at_10
value: 50.370000000000005
- type: mrr_at_100
value: 51.09
- type: mrr_at_1000
value: 51.117000000000004
- type: mrr_at_3
value: 47.833
- type: mrr_at_5
value: 49.233
- type: ndcg_at_1
value: 28.999999999999996
- type: ndcg_at_10
value: 24.253
- type: ndcg_at_100
value: 28.88
- type: ndcg_at_1000
value: 36.449
- type: ndcg_at_3
value: 26.119999999999997
- type: ndcg_at_5
value: 25.023
- type: precision_at_1
value: 39.5
- type: precision_at_10
value: 22.375
- type: precision_at_100
value: 7.605
- type: precision_at_1000
value: 1.5709999999999997
- type: precision_at_3
value: 32.083
- type: precision_at_5
value: 28.349999999999998
- type: recall_at_1
value: 3.769
- type: recall_at_10
value: 14.913000000000002
- type: recall_at_100
value: 36.785000000000004
- type: recall_at_1000
value: 63.002
- type: recall_at_3
value: 8.312999999999999
- type: recall_at_5
value: 10.679
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 32.775
- type: f1
value: 30.107262205231955
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 15.365
- type: map_at_10
value: 23.764
- type: map_at_100
value: 24.849
- type: map_at_1000
value: 24.926000000000002
- type: map_at_3
value: 20.857999999999997
- type: map_at_5
value: 22.488
- type: mrr_at_1
value: 16.412
- type: mrr_at_10
value: 25.202
- type: mrr_at_100
value: 26.273000000000003
- type: mrr_at_1000
value: 26.339000000000002
- type: mrr_at_3
value: 22.172
- type: mrr_at_5
value: 23.860999999999997
- type: ndcg_at_1
value: 16.412
- type: ndcg_at_10
value: 29.026000000000003
- type: ndcg_at_100
value: 34.43
- type: ndcg_at_1000
value: 36.522
- type: ndcg_at_3
value: 23.027
- type: ndcg_at_5
value: 25.946
- type: precision_at_1
value: 16.412
- type: precision_at_10
value: 4.8149999999999995
- type: precision_at_100
value: 0.771
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 10.030999999999999
- type: precision_at_5
value: 7.558
- type: recall_at_1
value: 15.365
- type: recall_at_10
value: 44.224999999999994
- type: recall_at_100
value: 69.169
- type: recall_at_1000
value: 85.272
- type: recall_at_3
value: 28.015
- type: recall_at_5
value: 34.958
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 5.4190000000000005
- type: map_at_10
value: 9.495000000000001
- type: map_at_100
value: 10.551
- type: map_at_1000
value: 10.725
- type: map_at_3
value: 7.845000000000001
- type: map_at_5
value: 8.661000000000001
- type: mrr_at_1
value: 11.574
- type: mrr_at_10
value: 17.357
- type: mrr_at_100
value: 18.298000000000002
- type: mrr_at_1000
value: 18.403
- type: mrr_at_3
value: 15.432000000000002
- type: mrr_at_5
value: 16.543
- type: ndcg_at_1
value: 11.574
- type: ndcg_at_10
value: 13.574
- type: ndcg_at_100
value: 18.847
- type: ndcg_at_1000
value: 23.105999999999998
- type: ndcg_at_3
value: 11.16
- type: ndcg_at_5
value: 12.015
- type: precision_at_1
value: 11.574
- type: precision_at_10
value: 4.167
- type: precision_at_100
value: 0.9259999999999999
- type: precision_at_1000
value: 0.166
- type: precision_at_3
value: 7.716000000000001
- type: precision_at_5
value: 6.08
- type: recall_at_1
value: 5.4190000000000005
- type: recall_at_10
value: 17.76
- type: recall_at_100
value: 39.080999999999996
- type: recall_at_1000
value: 65.713
- type: recall_at_3
value: 10.348
- type: recall_at_5
value: 13.274
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 18.697
- type: map_at_10
value: 26.466
- type: map_at_100
value: 27.464
- type: map_at_1000
value: 27.581
- type: map_at_3
value: 24.284
- type: map_at_5
value: 25.478
- type: mrr_at_1
value: 37.394
- type: mrr_at_10
value: 44.827
- type: mrr_at_100
value: 45.553
- type: mrr_at_1000
value: 45.601
- type: mrr_at_3
value: 42.82
- type: mrr_at_5
value: 43.980999999999995
- type: ndcg_at_1
value: 37.394
- type: ndcg_at_10
value: 33.726
- type: ndcg_at_100
value: 38.244
- type: ndcg_at_1000
value: 40.931
- type: ndcg_at_3
value: 29.660999999999998
- type: ndcg_at_5
value: 31.627
- type: precision_at_1
value: 37.394
- type: precision_at_10
value: 7.453
- type: precision_at_100
value: 1.107
- type: precision_at_1000
value: 0.147
- type: precision_at_3
value: 18.708
- type: precision_at_5
value: 12.786
- type: recall_at_1
value: 18.697
- type: recall_at_10
value: 37.265
- type: recall_at_100
value: 55.361000000000004
- type: recall_at_1000
value: 73.309
- type: recall_at_3
value: 28.061999999999998
- type: recall_at_5
value: 31.965
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 62.14919999999999
- type: ap
value: 57.925637150355854
- type: f1
value: 61.50139519699174
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 4.475
- type: map_at_10
value: 7.548000000000001
- type: map_at_100
value: 8.303
- type: map_at_1000
value: 8.408999999999999
- type: map_at_3
value: 6.4079999999999995
- type: map_at_5
value: 6.97
- type: mrr_at_1
value: 4.585
- type: mrr_at_10
value: 7.732
- type: mrr_at_100
value: 8.498999999999999
- type: mrr_at_1000
value: 8.604000000000001
- type: mrr_at_3
value: 6.557
- type: mrr_at_5
value: 7.154000000000001
- type: ndcg_at_1
value: 4.569999999999999
- type: ndcg_at_10
value: 9.514
- type: ndcg_at_100
value: 13.806
- type: ndcg_at_1000
value: 17.055
- type: ndcg_at_3
value: 7.093000000000001
- type: ndcg_at_5
value: 8.122
- type: precision_at_1
value: 4.569999999999999
- type: precision_at_10
value: 1.628
- type: precision_at_100
value: 0.388
- type: precision_at_1000
value: 0.067
- type: precision_at_3
value: 3.061
- type: precision_at_5
value: 2.367
- type: recall_at_1
value: 4.475
- type: recall_at_10
value: 15.67
- type: recall_at_100
value: 36.923
- type: recall_at_1000
value: 63.080999999999996
- type: recall_at_3
value: 8.949
- type: recall_at_5
value: 11.415000000000001
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 84.9954400364797
- type: f1
value: 84.58277754536348
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 68.75512995896032
- type: f1
value: 51.118465985982844
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.43577673167451
- type: f1
value: 59.61787483592468
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 66.0659045057162
- type: f1
value: 65.62318389091126
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 28.347157458398097
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 23.70662046779991
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.006999445620252
- type: mrr
value: 29.93142961414551
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 2.938
- type: map_at_10
value: 6.718
- type: map_at_100
value: 8.602
- type: map_at_1000
value: 9.879999999999999
- type: map_at_3
value: 5.066
- type: map_at_5
value: 5.9799999999999995
- type: mrr_at_1
value: 26.006
- type: mrr_at_10
value: 37.143
- type: mrr_at_100
value: 38.007000000000005
- type: mrr_at_1000
value: 38.056
- type: mrr_at_3
value: 33.953
- type: mrr_at_5
value: 35.980000000000004
- type: ndcg_at_1
value: 24.768
- type: ndcg_at_10
value: 21.893
- type: ndcg_at_100
value: 21.193
- type: ndcg_at_1000
value: 30.911
- type: ndcg_at_3
value: 23.912
- type: ndcg_at_5
value: 23.749000000000002
- type: precision_at_1
value: 26.006
- type: precision_at_10
value: 16.378
- type: precision_at_100
value: 6.059
- type: precision_at_1000
value: 1.934
- type: precision_at_3
value: 22.601
- type: precision_at_5
value: 20.929000000000002
- type: recall_at_1
value: 2.938
- type: recall_at_10
value: 11.195
- type: recall_at_100
value: 24.473
- type: recall_at_1000
value: 58.553
- type: recall_at_3
value: 6.487
- type: recall_at_5
value: 9.02
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 8.761
- type: map_at_10
value: 15.726
- type: map_at_100
value: 17.130000000000003
- type: map_at_1000
value: 17.244999999999997
- type: map_at_3
value: 13.001
- type: map_at_5
value: 14.438999999999998
- type: mrr_at_1
value: 9.994
- type: mrr_at_10
value: 17.455000000000002
- type: mrr_at_100
value: 18.736
- type: mrr_at_1000
value: 18.828
- type: mrr_at_3
value: 14.634
- type: mrr_at_5
value: 16.158
- type: ndcg_at_1
value: 9.994
- type: ndcg_at_10
value: 20.453
- type: ndcg_at_100
value: 27.514
- type: ndcg_at_1000
value: 30.45
- type: ndcg_at_3
value: 14.802000000000001
- type: ndcg_at_5
value: 17.394000000000002
- type: precision_at_1
value: 9.994
- type: precision_at_10
value: 3.914
- type: precision_at_100
value: 0.7939999999999999
- type: precision_at_1000
value: 0.107
- type: precision_at_3
value: 7.0680000000000005
- type: precision_at_5
value: 5.655
- type: recall_at_1
value: 8.761
- type: recall_at_10
value: 33.534000000000006
- type: recall_at_100
value: 66.28500000000001
- type: recall_at_1000
value: 88.458
- type: recall_at_3
value: 18.436
- type: recall_at_5
value: 24.508
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 50.617000000000004
- type: map_at_10
value: 62.446999999999996
- type: map_at_100
value: 63.410999999999994
- type: map_at_1000
value: 63.461
- type: map_at_3
value: 59.382999999999996
- type: map_at_5
value: 61.17
- type: mrr_at_1
value: 58.160000000000004
- type: mrr_at_10
value: 67.015
- type: mrr_at_100
value: 67.472
- type: mrr_at_1000
value: 67.49000000000001
- type: mrr_at_3
value: 65.007
- type: mrr_at_5
value: 66.24
- type: ndcg_at_1
value: 58.209999999999994
- type: ndcg_at_10
value: 67.907
- type: ndcg_at_100
value: 71.194
- type: ndcg_at_1000
value: 72.02
- type: ndcg_at_3
value: 63.429
- type: ndcg_at_5
value: 65.655
- type: precision_at_1
value: 58.209999999999994
- type: precision_at_10
value: 10.537
- type: precision_at_100
value: 1.355
- type: precision_at_1000
value: 0.15
- type: precision_at_3
value: 27.677000000000003
- type: precision_at_5
value: 18.6
- type: recall_at_1
value: 50.617000000000004
- type: recall_at_10
value: 79.323
- type: recall_at_100
value: 92.571
- type: recall_at_1000
value: 97.94
- type: recall_at_3
value: 66.81899999999999
- type: recall_at_5
value: 72.738
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 22.47157712756689
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 39.657540667597004
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.5829999999999997
- type: map_at_10
value: 6.2059999999999995
- type: map_at_100
value: 7.46
- type: map_at_1000
value: 7.724
- type: map_at_3
value: 4.515000000000001
- type: map_at_5
value: 5.313
- type: mrr_at_1
value: 12.7
- type: mrr_at_10
value: 20.615
- type: mrr_at_100
value: 21.841
- type: mrr_at_1000
value: 21.931
- type: mrr_at_3
value: 17.983
- type: mrr_at_5
value: 19.468
- type: ndcg_at_1
value: 12.7
- type: ndcg_at_10
value: 11.366
- type: ndcg_at_100
value: 17.448
- type: ndcg_at_1000
value: 22.86
- type: ndcg_at_3
value: 10.541
- type: ndcg_at_5
value: 9.27
- type: precision_at_1
value: 12.7
- type: precision_at_10
value: 5.96
- type: precision_at_100
value: 1.4949999999999999
- type: precision_at_1000
value: 0.27999999999999997
- type: precision_at_3
value: 9.833
- type: precision_at_5
value: 8.16
- type: recall_at_1
value: 2.5829999999999997
- type: recall_at_10
value: 12.107999999999999
- type: recall_at_100
value: 30.368000000000002
- type: recall_at_1000
value: 57.01500000000001
- type: recall_at_3
value: 5.997
- type: recall_at_5
value: 8.267
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 71.20191861331476
- type: cos_sim_spearman
value: 63.188421134907536
- type: euclidean_pearson
value: 61.127069815899574
- type: euclidean_spearman
value: 55.45301288952067
- type: manhattan_pearson
value: 61.12020983926607
- type: manhattan_spearman
value: 55.44326332941407
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 62.09810060891208
- type: cos_sim_spearman
value: 54.06092904130544
- type: euclidean_pearson
value: 48.01643701901603
- type: euclidean_spearman
value: 47.53699133066794
- type: manhattan_pearson
value: 48.01051627115819
- type: manhattan_spearman
value: 47.52526171851921
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 65.43822791053617
- type: cos_sim_spearman
value: 66.28982173651268
- type: euclidean_pearson
value: 53.35861667092793
- type: euclidean_spearman
value: 53.573281944958396
- type: manhattan_pearson
value: 53.37330137272439
- type: manhattan_spearman
value: 53.66127448601703
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 68.85545681538693
- type: cos_sim_spearman
value: 65.84235828443764
- type: euclidean_pearson
value: 53.90454137357774
- type: euclidean_spearman
value: 55.04356559669665
- type: manhattan_pearson
value: 53.88757630215708
- type: manhattan_spearman
value: 54.99042045615275
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 77.62859061994905
- type: cos_sim_spearman
value: 78.00000765816837
- type: euclidean_pearson
value: 54.21852924201095
- type: euclidean_spearman
value: 55.76757372388098
- type: manhattan_pearson
value: 54.19368821813792
- type: manhattan_spearman
value: 55.76610614713326
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 70.01795969481884
- type: cos_sim_spearman
value: 70.63693611196106
- type: euclidean_pearson
value: 45.34914757394818
- type: euclidean_spearman
value: 45.98188595239444
- type: manhattan_pearson
value: 45.305829577266636
- type: manhattan_spearman
value: 45.92921356525472
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 81.38227164562063
- type: cos_sim_spearman
value: 82.2302028734954
- type: euclidean_pearson
value: 53.41158385946949
- type: euclidean_spearman
value: 57.10238770345087
- type: manhattan_pearson
value: 53.32952199052525
- type: manhattan_spearman
value: 57.08232219963219
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 48.87003140356382
- type: cos_sim_spearman
value: 54.52763255764367
- type: euclidean_pearson
value: 41.28501055455825
- type: euclidean_spearman
value: 49.32890902859729
- type: manhattan_pearson
value: 41.25611150219887
- type: manhattan_spearman
value: 49.29228511720397
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 70.6609946505673
- type: cos_sim_spearman
value: 68.040381040423
- type: euclidean_pearson
value: 54.23209719233177
- type: euclidean_spearman
value: 52.27300805535425
- type: manhattan_pearson
value: 54.174455364046246
- type: manhattan_spearman
value: 52.25145471352592
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 70.94408788023235
- type: mrr
value: 90.05190252739271
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 26.694000000000003
- type: map_at_10
value: 34.503
- type: map_at_100
value: 35.494
- type: map_at_1000
value: 35.582
- type: map_at_3
value: 32.255
- type: map_at_5
value: 33.312999999999995
- type: mrr_at_1
value: 28.333000000000002
- type: mrr_at_10
value: 35.782000000000004
- type: mrr_at_100
value: 36.681000000000004
- type: mrr_at_1000
value: 36.756
- type: mrr_at_3
value: 33.667
- type: mrr_at_5
value: 34.8
- type: ndcg_at_1
value: 28.333000000000002
- type: ndcg_at_10
value: 38.799
- type: ndcg_at_100
value: 44.086
- type: ndcg_at_1000
value: 46.472
- type: ndcg_at_3
value: 34.215
- type: ndcg_at_5
value: 36.172
- type: precision_at_1
value: 28.333000000000002
- type: precision_at_10
value: 5.7
- type: precision_at_100
value: 0.8630000000000001
- type: precision_at_1000
value: 0.108
- type: precision_at_3
value: 13.889000000000001
- type: precision_at_5
value: 9.4
- type: recall_at_1
value: 26.694000000000003
- type: recall_at_10
value: 50.917
- type: recall_at_100
value: 76.656
- type: recall_at_1000
value: 95.267
- type: recall_at_3
value: 38.25
- type: recall_at_5
value: 43.25
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.48415841584158
- type: cos_sim_ap
value: 75.52946987159491
- type: cos_sim_f1
value: 71.24183006535948
- type: cos_sim_precision
value: 78.22966507177034
- type: cos_sim_recall
value: 65.4
- type: dot_accuracy
value: 99.02772277227723
- type: dot_ap
value: 19.64765748531683
- type: dot_f1
value: 27.603388141504738
- type: dot_precision
value: 27.507447864945384
- type: dot_recall
value: 27.700000000000003
- type: euclidean_accuracy
value: 99.22871287128713
- type: euclidean_ap
value: 47.656308810039974
- type: euclidean_f1
value: 49.277108433734945
- type: euclidean_precision
value: 61.969696969696976
- type: euclidean_recall
value: 40.9
- type: manhattan_accuracy
value: 99.23069306930692
- type: manhattan_ap
value: 47.58371084446927
- type: manhattan_f1
value: 49.56949569495694
- type: manhattan_precision
value: 64.37699680511182
- type: manhattan_recall
value: 40.300000000000004
- type: max_accuracy
value: 99.48415841584158
- type: max_ap
value: 75.52946987159491
- type: max_f1
value: 71.24183006535948
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 32.904600491347175
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 25.999421501651447
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 39.18037729762096
- type: mrr
value: 39.22605784738137
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.48883626808509
- type: cos_sim_spearman
value: 29.51032126703428
- type: dot_pearson
value: 18.805588622011378
- type: dot_spearman
value: 21.097033106663606
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.174
- type: map_at_10
value: 0.9730000000000001
- type: map_at_100
value: 4.8629999999999995
- type: map_at_1000
value: 11.895999999999999
- type: map_at_3
value: 0.373
- type: map_at_5
value: 0.575
- type: mrr_at_1
value: 68
- type: mrr_at_10
value: 75.888
- type: mrr_at_100
value: 76.254
- type: mrr_at_1000
value: 76.254
- type: mrr_at_3
value: 73
- type: mrr_at_5
value: 74.4
- type: ndcg_at_1
value: 59
- type: ndcg_at_10
value: 49.874
- type: ndcg_at_100
value: 34.993
- type: ndcg_at_1000
value: 31.941999999999997
- type: ndcg_at_3
value: 54.06100000000001
- type: ndcg_at_5
value: 52.995000000000005
- type: precision_at_1
value: 68
- type: precision_at_10
value: 53
- type: precision_at_100
value: 36.5
- type: precision_at_1000
value: 15.387999999999998
- type: precision_at_3
value: 57.333
- type: precision_at_5
value: 56.00000000000001
- type: recall_at_1
value: 0.174
- type: recall_at_10
value: 1.2309999999999999
- type: recall_at_100
value: 7.992000000000001
- type: recall_at_1000
value: 31.196
- type: recall_at_3
value: 0.402
- type: recall_at_5
value: 0.6629999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.409
- type: map_at_10
value: 6.394
- type: map_at_100
value: 11.241
- type: map_at_1000
value: 12.983
- type: map_at_3
value: 3.3009999999999997
- type: map_at_5
value: 4.623
- type: mrr_at_1
value: 22.448999999999998
- type: mrr_at_10
value: 37.69
- type: mrr_at_100
value: 38.684000000000005
- type: mrr_at_1000
value: 38.684000000000005
- type: mrr_at_3
value: 32.653
- type: mrr_at_5
value: 35.918
- type: ndcg_at_1
value: 20.408
- type: ndcg_at_10
value: 18.78
- type: ndcg_at_100
value: 31.513999999999996
- type: ndcg_at_1000
value: 43.881
- type: ndcg_at_3
value: 20.888
- type: ndcg_at_5
value: 19.969
- type: precision_at_1
value: 22.448999999999998
- type: precision_at_10
value: 18.163
- type: precision_at_100
value: 7.469
- type: precision_at_1000
value: 1.533
- type: precision_at_3
value: 23.128999999999998
- type: precision_at_5
value: 21.633
- type: recall_at_1
value: 1.409
- type: recall_at_10
value: 12.661
- type: recall_at_100
value: 46.255
- type: recall_at_1000
value: 83.985
- type: recall_at_3
value: 4.627
- type: recall_at_5
value: 7.64
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 67.81439999999999
- type: ap
value: 12.540860961937348
- type: f1
value: 51.90378710236624
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 48.91624221844935
- type: f1
value: 48.908124293596636
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 22.898809101910505
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 81.9991655242296
- type: cos_sim_ap
value: 58.77296113061388
- type: cos_sim_f1
value: 55.504807692307686
- type: cos_sim_precision
value: 50.971302428256074
- type: cos_sim_recall
value: 60.92348284960423
- type: dot_accuracy
value: 77.71949693032127
- type: dot_ap
value: 40.10856851866763
- type: dot_f1
value: 45.98438855160452
- type: dot_precision
value: 34.25064599483204
- type: dot_recall
value: 69.94722955145119
- type: euclidean_accuracy
value: 80.25272694760685
- type: euclidean_ap
value: 51.49892372756935
- type: euclidean_f1
value: 50.08739076154806
- type: euclidean_precision
value: 47.535545023696685
- type: euclidean_recall
value: 52.9287598944591
- type: manhattan_accuracy
value: 80.21696370030399
- type: manhattan_ap
value: 51.41297690359896
- type: manhattan_f1
value: 49.91362432339053
- type: manhattan_precision
value: 44.287758021663606
- type: manhattan_recall
value: 57.17678100263852
- type: max_accuracy
value: 81.9991655242296
- type: max_ap
value: 58.77296113061388
- type: max_f1
value: 55.504807692307686
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.04544572515232
- type: cos_sim_ap
value: 81.3265297042776
- type: cos_sim_f1
value: 74.06016421812292
- type: cos_sim_precision
value: 70.96888010726131
- type: cos_sim_recall
value: 77.4330150908531
- type: dot_accuracy
value: 83.6864982341755
- type: dot_ap
value: 72.13210682134748
- type: dot_f1
value: 68.104330639184
- type: dot_precision
value: 62.87390029325513
- type: dot_recall
value: 74.28395441946411
- type: euclidean_accuracy
value: 83.30616680249932
- type: euclidean_ap
value: 69.96764856529526
- type: euclidean_f1
value: 62.12407829208972
- type: euclidean_precision
value: 62.299651567944245
- type: euclidean_recall
value: 61.94949183862026
- type: manhattan_accuracy
value: 83.35079753172663
- type: manhattan_ap
value: 69.95287311927201
- type: manhattan_f1
value: 62.172966554522056
- type: manhattan_precision
value: 63.973283375417445
- type: manhattan_recall
value: 60.47120418848168
- type: max_accuracy
value: 87.04544572515232
- type: max_ap
value: 81.3265297042776
- type: max_f1
value: 74.06016421812292
Model Card for Model ID
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