metadata
tags:
- mteb
model-index:
- name: sbert_mpnet_main
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 65.02985074626866
- type: ap
value: 28.095796191623712
- type: f1
value: 59.03206708265084
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 67.13292500000001
- type: ap
value: 61.62083391211699
- type: f1
value: 66.94133235148541
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 31.436000000000003
- type: f1
value: 30.964288269346714
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 23.186
- type: map_at_10
value: 37.692
- type: map_at_100
value: 38.986
- type: map_at_1000
value: 38.991
- type: map_at_3
value: 32.622
- type: map_at_5
value: 35.004999999999995
- type: mrr_at_1
value: 23.613
- type: mrr_at_10
value: 37.846999999999994
- type: mrr_at_100
value: 39.153
- type: mrr_at_1000
value: 39.159
- type: mrr_at_3
value: 32.871
- type: mrr_at_5
value: 35.186
- type: ndcg_at_1
value: 23.186
- type: ndcg_at_10
value: 46.521
- type: ndcg_at_100
value: 51.954
- type: ndcg_at_1000
value: 52.087
- type: ndcg_at_3
value: 35.849
- type: ndcg_at_5
value: 40.12
- type: precision_at_1
value: 23.186
- type: precision_at_10
value: 7.510999999999999
- type: precision_at_100
value: 0.9860000000000001
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 15.078
- type: precision_at_5
value: 11.110000000000001
- type: recall_at_1
value: 23.186
- type: recall_at_10
value: 75.107
- type: recall_at_100
value: 98.649
- type: recall_at_1000
value: 99.644
- type: recall_at_3
value: 45.235
- type: recall_at_5
value: 55.547999999999995
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 48.12285764391798
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 39.354603484421816
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 65.85199009344481
- type: mrr
value: 78.47700391329201
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 84.47737521407541
- type: cos_sim_spearman
value: 80.43195317854409
- type: euclidean_pearson
value: 82.20496682380606
- type: euclidean_spearman
value: 80.43195317854409
- type: manhattan_pearson
value: 81.48366733626929
- type: manhattan_spearman
value: 79.65904400101908
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 81.68181818181817
- type: f1
value: 81.10883180364475
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 39.31959997412176
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 34.81993134410802
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 36.036
- type: map_at_10
value: 49.302
- type: map_at_100
value: 50.956
- type: map_at_1000
value: 51.080000000000005
- type: map_at_3
value: 45.237
- type: map_at_5
value: 47.353
- type: mrr_at_1
value: 45.207
- type: mrr_at_10
value: 56.055
- type: mrr_at_100
value: 56.652
- type: mrr_at_1000
value: 56.688
- type: mrr_at_3
value: 53.672
- type: mrr_at_5
value: 55.123999999999995
- type: ndcg_at_1
value: 45.207
- type: ndcg_at_10
value: 56.485
- type: ndcg_at_100
value: 61.413
- type: ndcg_at_1000
value: 62.870000000000005
- type: ndcg_at_3
value: 51.346000000000004
- type: ndcg_at_5
value: 53.486
- type: precision_at_1
value: 45.207
- type: precision_at_10
value: 11.144
- type: precision_at_100
value: 1.735
- type: precision_at_1000
value: 0.22100000000000003
- type: precision_at_3
value: 24.94
- type: precision_at_5
value: 17.997
- type: recall_at_1
value: 36.036
- type: recall_at_10
value: 69.191
- type: recall_at_100
value: 89.423
- type: recall_at_1000
value: 98.425
- type: recall_at_3
value: 53.849999999999994
- type: recall_at_5
value: 60.107
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 32.92
- type: map_at_10
value: 45.739999999999995
- type: map_at_100
value: 47.309
- type: map_at_1000
value: 47.443000000000005
- type: map_at_3
value: 42.154
- type: map_at_5
value: 44.207
- type: mrr_at_1
value: 42.229
- type: mrr_at_10
value: 51.910999999999994
- type: mrr_at_100
value: 52.549
- type: mrr_at_1000
value: 52.586999999999996
- type: mrr_at_3
value: 49.427
- type: mrr_at_5
value: 50.93299999999999
- type: ndcg_at_1
value: 42.229
- type: ndcg_at_10
value: 52.288999999999994
- type: ndcg_at_100
value: 57.04900000000001
- type: ndcg_at_1000
value: 58.788
- type: ndcg_at_3
value: 47.531
- type: ndcg_at_5
value: 49.861
- type: precision_at_1
value: 42.229
- type: precision_at_10
value: 10.299
- type: precision_at_100
value: 1.68
- type: precision_at_1000
value: 0.213
- type: precision_at_3
value: 23.673
- type: precision_at_5
value: 17.006
- type: recall_at_1
value: 32.92
- type: recall_at_10
value: 63.865
- type: recall_at_100
value: 84.06700000000001
- type: recall_at_1000
value: 94.536
- type: recall_at_3
value: 49.643
- type: recall_at_5
value: 56.119
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 40.695
- type: map_at_10
value: 53.787
- type: map_at_100
value: 54.778000000000006
- type: map_at_1000
value: 54.827000000000005
- type: map_at_3
value: 50.151999999999994
- type: map_at_5
value: 52.207
- type: mrr_at_1
value: 46.52
- type: mrr_at_10
value: 57.068
- type: mrr_at_100
value: 57.656
- type: mrr_at_1000
value: 57.679
- type: mrr_at_3
value: 54.211
- type: mrr_at_5
value: 55.97
- type: ndcg_at_1
value: 46.52
- type: ndcg_at_10
value: 60.026
- type: ndcg_at_100
value: 63.81099999999999
- type: ndcg_at_1000
value: 64.741
- type: ndcg_at_3
value: 53.83
- type: ndcg_at_5
value: 56.928999999999995
- type: precision_at_1
value: 46.52
- type: precision_at_10
value: 9.754999999999999
- type: precision_at_100
value: 1.2670000000000001
- type: precision_at_1000
value: 0.13799999999999998
- type: precision_at_3
value: 24.096
- type: precision_at_5
value: 16.689999999999998
- type: recall_at_1
value: 40.695
- type: recall_at_10
value: 75.181
- type: recall_at_100
value: 91.479
- type: recall_at_1000
value: 98.06899999999999
- type: recall_at_3
value: 58.707
- type: recall_at_5
value: 66.295
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 29.024
- type: map_at_10
value: 38.438
- type: map_at_100
value: 39.576
- type: map_at_1000
value: 39.645
- type: map_at_3
value: 34.827999999999996
- type: map_at_5
value: 36.947
- type: mrr_at_1
value: 31.299
- type: mrr_at_10
value: 40.514
- type: mrr_at_100
value: 41.455
- type: mrr_at_1000
value: 41.504000000000005
- type: mrr_at_3
value: 37.1
- type: mrr_at_5
value: 39.162
- type: ndcg_at_1
value: 31.299
- type: ndcg_at_10
value: 44.268
- type: ndcg_at_100
value: 49.507
- type: ndcg_at_1000
value: 51.205999999999996
- type: ndcg_at_3
value: 37.248999999999995
- type: ndcg_at_5
value: 40.861999999999995
- type: precision_at_1
value: 31.299
- type: precision_at_10
value: 6.949
- type: precision_at_100
value: 1.012
- type: precision_at_1000
value: 0.11900000000000001
- type: precision_at_3
value: 15.518
- type: precision_at_5
value: 11.366999999999999
- type: recall_at_1
value: 29.024
- type: recall_at_10
value: 60.404
- type: recall_at_100
value: 83.729
- type: recall_at_1000
value: 96.439
- type: recall_at_3
value: 41.65
- type: recall_at_5
value: 50.263999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 17.774
- type: map_at_10
value: 28.099
- type: map_at_100
value: 29.603
- type: map_at_1000
value: 29.709999999999997
- type: map_at_3
value: 25.036
- type: map_at_5
value: 26.657999999999998
- type: mrr_at_1
value: 22.139
- type: mrr_at_10
value: 32.482
- type: mrr_at_100
value: 33.632
- type: mrr_at_1000
value: 33.683
- type: mrr_at_3
value: 29.706
- type: mrr_at_5
value: 31.291000000000004
- type: ndcg_at_1
value: 22.139
- type: ndcg_at_10
value: 34.205999999999996
- type: ndcg_at_100
value: 40.844
- type: ndcg_at_1000
value: 43.144
- type: ndcg_at_3
value: 28.732999999999997
- type: ndcg_at_5
value: 31.252000000000002
- type: precision_at_1
value: 22.139
- type: precision_at_10
value: 6.567
- type: precision_at_100
value: 1.147
- type: precision_at_1000
value: 0.146
- type: precision_at_3
value: 14.386
- type: precision_at_5
value: 10.423
- type: recall_at_1
value: 17.774
- type: recall_at_10
value: 48.32
- type: recall_at_100
value: 76.373
- type: recall_at_1000
value: 92.559
- type: recall_at_3
value: 33.478
- type: recall_at_5
value: 39.872
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 31.885
- type: map_at_10
value: 44.289
- type: map_at_100
value: 45.757999999999996
- type: map_at_1000
value: 45.86
- type: map_at_3
value: 40.459
- type: map_at_5
value: 42.662
- type: mrr_at_1
value: 39.75
- type: mrr_at_10
value: 50.056999999999995
- type: mrr_at_100
value: 50.849999999999994
- type: mrr_at_1000
value: 50.883
- type: mrr_at_3
value: 47.482
- type: mrr_at_5
value: 48.964
- type: ndcg_at_1
value: 39.75
- type: ndcg_at_10
value: 50.975
- type: ndcg_at_100
value: 56.528999999999996
- type: ndcg_at_1000
value: 58.06099999999999
- type: ndcg_at_3
value: 45.327
- type: ndcg_at_5
value: 48.041
- type: precision_at_1
value: 39.75
- type: precision_at_10
value: 9.557
- type: precision_at_100
value: 1.469
- type: precision_at_1000
value: 0.17700000000000002
- type: precision_at_3
value: 22.073
- type: precision_at_5
value: 15.765
- type: recall_at_1
value: 31.885
- type: recall_at_10
value: 64.649
- type: recall_at_100
value: 87.702
- type: recall_at_1000
value: 97.327
- type: recall_at_3
value: 48.61
- type: recall_at_5
value: 55.882
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 26.454
- type: map_at_10
value: 37.756
- type: map_at_100
value: 39.225
- type: map_at_1000
value: 39.332
- type: map_at_3
value: 34.115
- type: map_at_5
value: 35.942
- type: mrr_at_1
value: 32.42
- type: mrr_at_10
value: 42.659000000000006
- type: mrr_at_100
value: 43.625
- type: mrr_at_1000
value: 43.672
- type: mrr_at_3
value: 39.878
- type: mrr_at_5
value: 41.482
- type: ndcg_at_1
value: 32.42
- type: ndcg_at_10
value: 44.165
- type: ndcg_at_100
value: 50.202000000000005
- type: ndcg_at_1000
value: 52.188
- type: ndcg_at_3
value: 38.381
- type: ndcg_at_5
value: 40.849000000000004
- type: precision_at_1
value: 32.42
- type: precision_at_10
value: 8.482000000000001
- type: precision_at_100
value: 1.332
- type: precision_at_1000
value: 0.169
- type: precision_at_3
value: 18.683
- type: precision_at_5
value: 13.539000000000001
- type: recall_at_1
value: 26.454
- type: recall_at_10
value: 57.937000000000005
- type: recall_at_100
value: 83.76
- type: recall_at_1000
value: 96.82600000000001
- type: recall_at_3
value: 41.842
- type: recall_at_5
value: 48.285
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 27.743666666666673
- type: map_at_10
value: 38.75416666666667
- type: map_at_100
value: 40.13325
- type: map_at_1000
value: 40.24616666666667
- type: map_at_3
value: 35.267250000000004
- type: map_at_5
value: 37.13275
- type: mrr_at_1
value: 33.14358333333334
- type: mrr_at_10
value: 42.96625
- type: mrr_at_100
value: 43.845666666666666
- type: mrr_at_1000
value: 43.89225
- type: mrr_at_3
value: 40.18900000000001
- type: mrr_at_5
value: 41.7585
- type: ndcg_at_1
value: 33.14358333333334
- type: ndcg_at_10
value: 44.959166666666675
- type: ndcg_at_100
value: 50.463750000000005
- type: ndcg_at_1000
value: 52.35508333333334
- type: ndcg_at_3
value: 39.17883333333334
- type: ndcg_at_5
value: 41.797250000000005
- type: precision_at_1
value: 33.14358333333334
- type: precision_at_10
value: 8.201083333333333
- type: precision_at_100
value: 1.3085
- type: precision_at_1000
value: 0.1665833333333333
- type: precision_at_3
value: 18.405583333333336
- type: precision_at_5
value: 13.233166666666666
- type: recall_at_1
value: 27.743666666666673
- type: recall_at_10
value: 58.91866666666667
- type: recall_at_100
value: 82.76216666666669
- type: recall_at_1000
value: 95.56883333333333
- type: recall_at_3
value: 42.86925
- type: recall_at_5
value: 49.553333333333335
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 25.244
- type: map_at_10
value: 33.464
- type: map_at_100
value: 34.633
- type: map_at_1000
value: 34.721999999999994
- type: map_at_3
value: 30.784
- type: map_at_5
value: 32.183
- type: mrr_at_1
value: 28.681
- type: mrr_at_10
value: 36.15
- type: mrr_at_100
value: 37.151
- type: mrr_at_1000
value: 37.211
- type: mrr_at_3
value: 33.845
- type: mrr_at_5
value: 35.095
- type: ndcg_at_1
value: 28.681
- type: ndcg_at_10
value: 38.149
- type: ndcg_at_100
value: 43.856
- type: ndcg_at_1000
value: 46.026
- type: ndcg_at_3
value: 33.318
- type: ndcg_at_5
value: 35.454
- type: precision_at_1
value: 28.681
- type: precision_at_10
value: 6.304
- type: precision_at_100
value: 0.992
- type: precision_at_1000
value: 0.125
- type: precision_at_3
value: 14.673
- type: precision_at_5
value: 10.245
- type: recall_at_1
value: 25.244
- type: recall_at_10
value: 49.711
- type: recall_at_100
value: 75.928
- type: recall_at_1000
value: 91.79899999999999
- type: recall_at_3
value: 36.325
- type: recall_at_5
value: 41.752
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 18.857
- type: map_at_10
value: 27.794
- type: map_at_100
value: 29.186
- type: map_at_1000
value: 29.323
- type: map_at_3
value: 24.779
- type: map_at_5
value: 26.459
- type: mrr_at_1
value: 23.227999999999998
- type: mrr_at_10
value: 31.85
- type: mrr_at_100
value: 32.89
- type: mrr_at_1000
value: 32.961
- type: mrr_at_3
value: 29.112
- type: mrr_at_5
value: 30.673000000000002
- type: ndcg_at_1
value: 23.227999999999998
- type: ndcg_at_10
value: 33.353
- type: ndcg_at_100
value: 39.598
- type: ndcg_at_1000
value: 42.268
- type: ndcg_at_3
value: 28.054000000000002
- type: ndcg_at_5
value: 30.566
- type: precision_at_1
value: 23.227999999999998
- type: precision_at_10
value: 6.397
- type: precision_at_100
value: 1.129
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 13.616
- type: precision_at_5
value: 10.116999999999999
- type: recall_at_1
value: 18.857
- type: recall_at_10
value: 45.797
- type: recall_at_100
value: 73.615
- type: recall_at_1000
value: 91.959
- type: recall_at_3
value: 31.129
- type: recall_at_5
value: 37.565
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 27.486
- type: map_at_10
value: 39.164
- type: map_at_100
value: 40.543
- type: map_at_1000
value: 40.636
- type: map_at_3
value: 35.52
- type: map_at_5
value: 37.355
- type: mrr_at_1
value: 32.275999999999996
- type: mrr_at_10
value: 42.882
- type: mrr_at_100
value: 43.883
- type: mrr_at_1000
value: 43.926
- type: mrr_at_3
value: 40.065
- type: mrr_at_5
value: 41.549
- type: ndcg_at_1
value: 32.275999999999996
- type: ndcg_at_10
value: 45.414
- type: ndcg_at_100
value: 51.254
- type: ndcg_at_1000
value: 53.044000000000004
- type: ndcg_at_3
value: 39.324999999999996
- type: ndcg_at_5
value: 41.835
- type: precision_at_1
value: 32.275999999999996
- type: precision_at_10
value: 8.144
- type: precision_at_100
value: 1.237
- type: precision_at_1000
value: 0.15
- type: precision_at_3
value: 18.501
- type: precision_at_5
value: 13.134
- type: recall_at_1
value: 27.486
- type: recall_at_10
value: 60.449
- type: recall_at_100
value: 85.176
- type: recall_at_1000
value: 97.087
- type: recall_at_3
value: 43.59
- type: recall_at_5
value: 50.08899999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 26.207
- type: map_at_10
value: 37.255
- type: map_at_100
value: 39.043
- type: map_at_1000
value: 39.273
- type: map_at_3
value: 33.487
- type: map_at_5
value: 35.441
- type: mrr_at_1
value: 31.423000000000002
- type: mrr_at_10
value: 41.693999999999996
- type: mrr_at_100
value: 42.678
- type: mrr_at_1000
value: 42.71
- type: mrr_at_3
value: 38.472
- type: mrr_at_5
value: 40.231
- type: ndcg_at_1
value: 31.423000000000002
- type: ndcg_at_10
value: 44.235
- type: ndcg_at_100
value: 50.49
- type: ndcg_at_1000
value: 52.283
- type: ndcg_at_3
value: 37.602000000000004
- type: ndcg_at_5
value: 40.518
- type: precision_at_1
value: 31.423000000000002
- type: precision_at_10
value: 8.715
- type: precision_at_100
value: 1.7590000000000001
- type: precision_at_1000
value: 0.257
- type: precision_at_3
value: 17.523
- type: precision_at_5
value: 13.161999999999999
- type: recall_at_1
value: 26.207
- type: recall_at_10
value: 59.17099999999999
- type: recall_at_100
value: 86.166
- type: recall_at_1000
value: 96.54700000000001
- type: recall_at_3
value: 41.18
- type: recall_at_5
value: 48.083999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 20.342
- type: map_at_10
value: 29.962
- type: map_at_100
value: 30.989
- type: map_at_1000
value: 31.102999999999998
- type: map_at_3
value: 26.656000000000002
- type: map_at_5
value: 28.179
- type: mrr_at_1
value: 22.551
- type: mrr_at_10
value: 32.273
- type: mrr_at_100
value: 33.127
- type: mrr_at_1000
value: 33.202999999999996
- type: mrr_at_3
value: 29.298000000000002
- type: mrr_at_5
value: 30.628
- type: ndcg_at_1
value: 22.551
- type: ndcg_at_10
value: 35.945
- type: ndcg_at_100
value: 41.012
- type: ndcg_at_1000
value: 43.641999999999996
- type: ndcg_at_3
value: 29.45
- type: ndcg_at_5
value: 31.913999999999998
- type: precision_at_1
value: 22.551
- type: precision_at_10
value: 6.1
- type: precision_at_100
value: 0.943
- type: precision_at_1000
value: 0.129
- type: precision_at_3
value: 13.184999999999999
- type: precision_at_5
value: 9.353
- type: recall_at_1
value: 20.342
- type: recall_at_10
value: 52.349000000000004
- type: recall_at_100
value: 75.728
- type: recall_at_1000
value: 95.253
- type: recall_at_3
value: 34.427
- type: recall_at_5
value: 40.326
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 7.71
- type: map_at_10
value: 14.81
- type: map_at_100
value: 16.536
- type: map_at_1000
value: 16.744999999999997
- type: map_at_3
value: 12.109
- type: map_at_5
value: 13.613
- type: mrr_at_1
value: 18.046
- type: mrr_at_10
value: 29.341
- type: mrr_at_100
value: 30.48
- type: mrr_at_1000
value: 30.535
- type: mrr_at_3
value: 25.765
- type: mrr_at_5
value: 27.935
- type: ndcg_at_1
value: 18.046
- type: ndcg_at_10
value: 21.971
- type: ndcg_at_100
value: 29.468
- type: ndcg_at_1000
value: 33.428999999999995
- type: ndcg_at_3
value: 17.227999999999998
- type: ndcg_at_5
value: 19.189999999999998
- type: precision_at_1
value: 18.046
- type: precision_at_10
value: 7.192
- type: precision_at_100
value: 1.51
- type: precision_at_1000
value: 0.22499999999999998
- type: precision_at_3
value: 13.312
- type: precision_at_5
value: 10.775
- type: recall_at_1
value: 7.71
- type: recall_at_10
value: 27.908
- type: recall_at_100
value: 54.452
- type: recall_at_1000
value: 76.764
- type: recall_at_3
value: 16.64
- type: recall_at_5
value: 21.631
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 6.8180000000000005
- type: map_at_10
value: 14.591000000000001
- type: map_at_100
value: 19.855999999999998
- type: map_at_1000
value: 21.178
- type: map_at_3
value: 10.345
- type: map_at_5
value: 12.367
- type: mrr_at_1
value: 49.5
- type: mrr_at_10
value: 61.414
- type: mrr_at_100
value: 61.974
- type: mrr_at_1000
value: 61.985
- type: mrr_at_3
value: 59.62499999999999
- type: mrr_at_5
value: 60.575
- type: ndcg_at_1
value: 39.25
- type: ndcg_at_10
value: 32.088
- type: ndcg_at_100
value: 36.019
- type: ndcg_at_1000
value: 43.649
- type: ndcg_at_3
value: 35.132999999999996
- type: ndcg_at_5
value: 33.777
- type: precision_at_1
value: 49.5
- type: precision_at_10
value: 25.624999999999996
- type: precision_at_100
value: 8.043
- type: precision_at_1000
value: 1.7409999999999999
- type: precision_at_3
value: 38.417
- type: precision_at_5
value: 33.2
- type: recall_at_1
value: 6.8180000000000005
- type: recall_at_10
value: 20.399
- type: recall_at_100
value: 42.8
- type: recall_at_1000
value: 68.081
- type: recall_at_3
value: 11.928999999999998
- type: recall_at_5
value: 15.348999999999998
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 42.205000000000005
- type: f1
value: 37.531846125752075
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 31.901000000000003
- type: map_at_10
value: 44.156
- type: map_at_100
value: 44.901
- type: map_at_1000
value: 44.939
- type: map_at_3
value: 41.008
- type: map_at_5
value: 42.969
- type: mrr_at_1
value: 34.263
- type: mrr_at_10
value: 46.997
- type: mrr_at_100
value: 47.691
- type: mrr_at_1000
value: 47.717999999999996
- type: mrr_at_3
value: 43.836999999999996
- type: mrr_at_5
value: 45.816
- type: ndcg_at_1
value: 34.263
- type: ndcg_at_10
value: 50.863
- type: ndcg_at_100
value: 54.337
- type: ndcg_at_1000
value: 55.297
- type: ndcg_at_3
value: 44.644
- type: ndcg_at_5
value: 48.075
- type: precision_at_1
value: 34.263
- type: precision_at_10
value: 7.542999999999999
- type: precision_at_100
value: 0.9400000000000001
- type: precision_at_1000
value: 0.104
- type: precision_at_3
value: 18.912000000000003
- type: precision_at_5
value: 13.177
- type: recall_at_1
value: 31.901000000000003
- type: recall_at_10
value: 68.872
- type: recall_at_100
value: 84.468
- type: recall_at_1000
value: 91.694
- type: recall_at_3
value: 52.272
- type: recall_at_5
value: 60.504999999999995
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 24.4
- type: map_at_10
value: 41.117
- type: map_at_100
value: 43.167
- type: map_at_1000
value: 43.323
- type: map_at_3
value: 35.744
- type: map_at_5
value: 38.708
- type: mrr_at_1
value: 49.074
- type: mrr_at_10
value: 58.229
- type: mrr_at_100
value: 58.861
- type: mrr_at_1000
value: 58.887
- type: mrr_at_3
value: 55.761
- type: mrr_at_5
value: 57.428000000000004
- type: ndcg_at_1
value: 49.074
- type: ndcg_at_10
value: 49.963
- type: ndcg_at_100
value: 56.564
- type: ndcg_at_1000
value: 58.931999999999995
- type: ndcg_at_3
value: 45.489000000000004
- type: ndcg_at_5
value: 47.133
- type: precision_at_1
value: 49.074
- type: precision_at_10
value: 13.889000000000001
- type: precision_at_100
value: 2.091
- type: precision_at_1000
value: 0.251
- type: precision_at_3
value: 30.658
- type: precision_at_5
value: 22.593
- type: recall_at_1
value: 24.4
- type: recall_at_10
value: 58.111999999999995
- type: recall_at_100
value: 81.96900000000001
- type: recall_at_1000
value: 96.187
- type: recall_at_3
value: 41.661
- type: recall_at_5
value: 49.24
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 22.262
- type: map_at_10
value: 31.266
- type: map_at_100
value: 32.202
- type: map_at_1000
value: 32.299
- type: map_at_3
value: 28.874
- type: map_at_5
value: 30.246000000000002
- type: mrr_at_1
value: 44.524
- type: mrr_at_10
value: 52.306
- type: mrr_at_100
value: 52.905
- type: mrr_at_1000
value: 52.949999999999996
- type: mrr_at_3
value: 50.302
- type: mrr_at_5
value: 51.476
- type: ndcg_at_1
value: 44.524
- type: ndcg_at_10
value: 39.294000000000004
- type: ndcg_at_100
value: 43.296
- type: ndcg_at_1000
value: 45.561
- type: ndcg_at_3
value: 35.013
- type: ndcg_at_5
value: 37.177
- type: precision_at_1
value: 44.524
- type: precision_at_10
value: 8.52
- type: precision_at_100
value: 1.169
- type: precision_at_1000
value: 0.147
- type: precision_at_3
value: 22.003
- type: precision_at_5
value: 14.914
- type: recall_at_1
value: 22.262
- type: recall_at_10
value: 42.6
- type: recall_at_100
value: 58.46
- type: recall_at_1000
value: 73.565
- type: recall_at_3
value: 33.005
- type: recall_at_5
value: 37.286
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 71.1692
- type: ap
value: 65.20437904022796
- type: f1
value: 70.84877305815426
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 21.159
- type: map_at_10
value: 32.994
- type: map_at_100
value: 34.171
- type: map_at_1000
value: 34.221000000000004
- type: map_at_3
value: 29.267
- type: map_at_5
value: 31.335
- type: mrr_at_1
value: 21.762
- type: mrr_at_10
value: 33.622
- type: mrr_at_100
value: 34.733000000000004
- type: mrr_at_1000
value: 34.777
- type: mrr_at_3
value: 29.914
- type: mrr_at_5
value: 31.988
- type: ndcg_at_1
value: 21.762
- type: ndcg_at_10
value: 39.742
- type: ndcg_at_100
value: 45.481
- type: ndcg_at_1000
value: 46.73
- type: ndcg_at_3
value: 32.080999999999996
- type: ndcg_at_5
value: 35.787
- type: precision_at_1
value: 21.762
- type: precision_at_10
value: 6.324000000000001
- type: precision_at_100
value: 0.922
- type: precision_at_1000
value: 0.10300000000000001
- type: precision_at_3
value: 13.696
- type: precision_at_5
value: 10.100000000000001
- type: recall_at_1
value: 21.159
- type: recall_at_10
value: 60.488
- type: recall_at_100
value: 87.21900000000001
- type: recall_at_1000
value: 96.806
- type: recall_at_3
value: 39.582
- type: recall_at_5
value: 48.474000000000004
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 91.87870497036023
- type: f1
value: 91.83382088668456
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 68.25353397172822
- type: f1
value: 48.271392350964916
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 69.78816408876934
- type: f1
value: 67.9093645800099
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 75.67585743106926
- type: f1
value: 74.97929341799454
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 35.58814842333602
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 33.419043960776875
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.96770386785412
- type: mrr
value: 31.93649596540149
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.938
- type: map_at_10
value: 12.034
- type: map_at_100
value: 15.675
- type: map_at_1000
value: 17.18
- type: map_at_3
value: 8.471
- type: map_at_5
value: 10.128
- type: mrr_at_1
value: 42.415000000000006
- type: mrr_at_10
value: 52.11900000000001
- type: mrr_at_100
value: 52.717999999999996
- type: mrr_at_1000
value: 52.754999999999995
- type: mrr_at_3
value: 50
- type: mrr_at_5
value: 51.285000000000004
- type: ndcg_at_1
value: 40.402
- type: ndcg_at_10
value: 33.289
- type: ndcg_at_100
value: 31.496000000000002
- type: ndcg_at_1000
value: 40.453
- type: ndcg_at_3
value: 37.841
- type: ndcg_at_5
value: 36.215
- type: precision_at_1
value: 41.796
- type: precision_at_10
value: 25.294
- type: precision_at_100
value: 8.381
- type: precision_at_1000
value: 2.1260000000000003
- type: precision_at_3
value: 36.429
- type: precision_at_5
value: 32.446000000000005
- type: recall_at_1
value: 4.938
- type: recall_at_10
value: 16.637
- type: recall_at_100
value: 33.853
- type: recall_at_1000
value: 66.07
- type: recall_at_3
value: 9.818
- type: recall_at_5
value: 12.544
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 27.124
- type: map_at_10
value: 42.418
- type: map_at_100
value: 43.633
- type: map_at_1000
value: 43.66
- type: map_at_3
value: 37.766
- type: map_at_5
value: 40.482
- type: mrr_at_1
value: 30.794
- type: mrr_at_10
value: 44.877
- type: mrr_at_100
value: 45.786
- type: mrr_at_1000
value: 45.805
- type: mrr_at_3
value: 40.967
- type: mrr_at_5
value: 43.342000000000006
- type: ndcg_at_1
value: 30.794
- type: ndcg_at_10
value: 50.449999999999996
- type: ndcg_at_100
value: 55.437999999999995
- type: ndcg_at_1000
value: 56.084
- type: ndcg_at_3
value: 41.678
- type: ndcg_at_5
value: 46.257
- type: precision_at_1
value: 30.794
- type: precision_at_10
value: 8.656
- type: precision_at_100
value: 1.141
- type: precision_at_1000
value: 0.12
- type: precision_at_3
value: 19.37
- type: precision_at_5
value: 14.218
- type: recall_at_1
value: 27.124
- type: recall_at_10
value: 72.545
- type: recall_at_100
value: 93.938
- type: recall_at_1000
value: 98.788
- type: recall_at_3
value: 49.802
- type: recall_at_5
value: 60.426
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 69.33500000000001
- type: map_at_10
value: 83.553
- type: map_at_100
value: 84.237
- type: map_at_1000
value: 84.251
- type: map_at_3
value: 80.457
- type: map_at_5
value: 82.394
- type: mrr_at_1
value: 80.06
- type: mrr_at_10
value: 86.519
- type: mrr_at_100
value: 86.649
- type: mrr_at_1000
value: 86.651
- type: mrr_at_3
value: 85.518
- type: mrr_at_5
value: 86.217
- type: ndcg_at_1
value: 80.06
- type: ndcg_at_10
value: 87.46000000000001
- type: ndcg_at_100
value: 88.77199999999999
- type: ndcg_at_1000
value: 88.863
- type: ndcg_at_3
value: 84.439
- type: ndcg_at_5
value: 86.125
- type: precision_at_1
value: 80.06
- type: precision_at_10
value: 13.418
- type: precision_at_100
value: 1.536
- type: precision_at_1000
value: 0.157
- type: precision_at_3
value: 37.107
- type: precision_at_5
value: 24.518
- type: recall_at_1
value: 69.33500000000001
- type: recall_at_10
value: 95.03200000000001
- type: recall_at_100
value: 99.559
- type: recall_at_1000
value: 99.98700000000001
- type: recall_at_3
value: 86.405
- type: recall_at_5
value: 91.122
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 54.6255780307404
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 56.59790381472837
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 5.192
- type: map_at_10
value: 14.426
- type: map_at_100
value: 17.18
- type: map_at_1000
value: 17.580000000000002
- type: map_at_3
value: 9.94
- type: map_at_5
value: 12.077
- type: mrr_at_1
value: 25.5
- type: mrr_at_10
value: 38.034
- type: mrr_at_100
value: 39.033
- type: mrr_at_1000
value: 39.07
- type: mrr_at_3
value: 34.117
- type: mrr_at_5
value: 36.427
- type: ndcg_at_1
value: 25.5
- type: ndcg_at_10
value: 23.765
- type: ndcg_at_100
value: 33.664
- type: ndcg_at_1000
value: 39.481
- type: ndcg_at_3
value: 21.813
- type: ndcg_at_5
value: 19.285
- type: precision_at_1
value: 25.5
- type: precision_at_10
value: 12.690000000000001
- type: precision_at_100
value: 2.71
- type: precision_at_1000
value: 0.409
- type: precision_at_3
value: 20.732999999999997
- type: precision_at_5
value: 17.24
- type: recall_at_1
value: 5.192
- type: recall_at_10
value: 25.712000000000003
- type: recall_at_100
value: 54.99699999999999
- type: recall_at_1000
value: 82.97200000000001
- type: recall_at_3
value: 12.631999999999998
- type: recall_at_5
value: 17.497
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 84.00280883059669
- type: cos_sim_spearman
value: 80.5854073415301
- type: euclidean_pearson
value: 80.55974855788163
- type: euclidean_spearman
value: 80.58540915387199
- type: manhattan_pearson
value: 80.27294590630332
- type: manhattan_spearman
value: 80.33173697386924
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 83.28013517070231
- type: cos_sim_spearman
value: 72.63423278021162
- type: euclidean_pearson
value: 79.0134328937988
- type: euclidean_spearman
value: 72.6317208665704
- type: manhattan_pearson
value: 78.65900012611007
- type: manhattan_spearman
value: 72.2664461694106
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 83.20700541762768
- type: cos_sim_spearman
value: 83.48499016384896
- type: euclidean_pearson
value: 82.82555230041145
- type: euclidean_spearman
value: 83.48499008964005
- type: manhattan_pearson
value: 82.46034748646868
- type: manhattan_spearman
value: 83.0982395910203
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 82.27112967842054
- type: cos_sim_spearman
value: 78.00009897988296
- type: euclidean_pearson
value: 80.62651899334658
- type: euclidean_spearman
value: 78.00011049475123
- type: manhattan_pearson
value: 80.25786318469045
- type: manhattan_spearman
value: 77.68753745374089
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 84.98824087716352
- type: cos_sim_spearman
value: 85.66276030650279
- type: euclidean_pearson
value: 84.88733572125385
- type: euclidean_spearman
value: 85.66275954505593
- type: manhattan_pearson
value: 84.70100837758532
- type: manhattan_spearman
value: 85.50318725207696
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 78.82478680049049
- type: cos_sim_spearman
value: 80.03011315645662
- type: euclidean_pearson
value: 79.84794515389011
- type: euclidean_spearman
value: 80.03011258077692
- type: manhattan_pearson
value: 79.47012184458262
- type: manhattan_spearman
value: 79.60652985087651
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 90.90804308048635
- type: cos_sim_spearman
value: 90.59523263123734
- type: euclidean_pearson
value: 89.84669638887216
- type: euclidean_spearman
value: 90.59523263123734
- type: manhattan_pearson
value: 89.82268499045634
- type: manhattan_spearman
value: 90.68706496728889
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 67.34372229369944
- type: cos_sim_spearman
value: 68.38595785593503
- type: euclidean_pearson
value: 69.11395687585315
- type: euclidean_spearman
value: 68.38595785593503
- type: manhattan_pearson
value: 68.84995019201014
- type: manhattan_spearman
value: 68.04844816582818
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 84.03996039453689
- type: cos_sim_spearman
value: 83.421898505618
- type: euclidean_pearson
value: 83.78671191583726
- type: euclidean_spearman
value: 83.4219042133061
- type: manhattan_pearson
value: 83.44085796612015
- type: manhattan_spearman
value: 83.02900779808584
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 88.65396986895777
- type: mrr
value: 96.60209525405604
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 51.456
- type: map_at_10
value: 60.827
- type: map_at_100
value: 61.595
- type: map_at_1000
value: 61.629999999999995
- type: map_at_3
value: 57.518
- type: map_at_5
value: 59.435
- type: mrr_at_1
value: 53.333
- type: mrr_at_10
value: 61.773999999999994
- type: mrr_at_100
value: 62.370999999999995
- type: mrr_at_1000
value: 62.405
- type: mrr_at_3
value: 59.278
- type: mrr_at_5
value: 60.778
- type: ndcg_at_1
value: 53.333
- type: ndcg_at_10
value: 65.57
- type: ndcg_at_100
value: 68.911
- type: ndcg_at_1000
value: 69.65299999999999
- type: ndcg_at_3
value: 60.009
- type: ndcg_at_5
value: 62.803
- type: precision_at_1
value: 53.333
- type: precision_at_10
value: 8.933
- type: precision_at_100
value: 1.0699999999999998
- type: precision_at_1000
value: 0.11299999999999999
- type: precision_at_3
value: 23.333000000000002
- type: precision_at_5
value: 15.8
- type: recall_at_1
value: 51.456
- type: recall_at_10
value: 79.011
- type: recall_at_100
value: 94.167
- type: recall_at_1000
value: 99.667
- type: recall_at_3
value: 64.506
- type: recall_at_5
value: 71.211
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.65940594059406
- type: cos_sim_ap
value: 90.14551416831162
- type: cos_sim_f1
value: 82.26044226044226
- type: cos_sim_precision
value: 80.8695652173913
- type: cos_sim_recall
value: 83.7
- type: dot_accuracy
value: 99.65940594059406
- type: dot_ap
value: 90.14551416831162
- type: dot_f1
value: 82.26044226044226
- type: dot_precision
value: 80.8695652173913
- type: dot_recall
value: 83.7
- type: euclidean_accuracy
value: 99.65940594059406
- type: euclidean_ap
value: 90.14551416831162
- type: euclidean_f1
value: 82.26044226044226
- type: euclidean_precision
value: 80.8695652173913
- type: euclidean_recall
value: 83.7
- type: manhattan_accuracy
value: 99.64950495049504
- type: manhattan_ap
value: 89.549267663098
- type: manhattan_f1
value: 81.58280410356619
- type: manhattan_precision
value: 79.75167144221585
- type: manhattan_recall
value: 83.5
- type: max_accuracy
value: 99.65940594059406
- type: max_ap
value: 90.14551416831162
- type: max_f1
value: 82.26044226044226
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 53.653923131513245
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 34.2472395162543
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 51.97846886836596
- type: mrr
value: 52.861970545794065
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 28.364292988727772
- type: cos_sim_spearman
value: 27.485869639926136
- type: dot_pearson
value: 28.36429488492219
- type: dot_spearman
value: 27.485454060168806
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.19499999999999998
- type: map_at_10
value: 1.218
- type: map_at_100
value: 7.061000000000001
- type: map_at_1000
value: 19.735
- type: map_at_3
value: 0.46499999999999997
- type: map_at_5
value: 0.672
- type: mrr_at_1
value: 66
- type: mrr_at_10
value: 75.44999999999999
- type: mrr_at_100
value: 75.762
- type: mrr_at_1000
value: 75.762
- type: mrr_at_3
value: 73
- type: mrr_at_5
value: 75.2
- type: ndcg_at_1
value: 60
- type: ndcg_at_10
value: 51.319
- type: ndcg_at_100
value: 41.738
- type: ndcg_at_1000
value: 43.221
- type: ndcg_at_3
value: 54.989
- type: ndcg_at_5
value: 52.774
- type: precision_at_1
value: 66
- type: precision_at_10
value: 55.60000000000001
- type: precision_at_100
value: 43.34
- type: precision_at_1000
value: 19.994
- type: precision_at_3
value: 59.333000000000006
- type: precision_at_5
value: 57.199999999999996
- type: recall_at_1
value: 0.19499999999999998
- type: recall_at_10
value: 1.473
- type: recall_at_100
value: 10.596
- type: recall_at_1000
value: 42.466
- type: recall_at_3
value: 0.49899999999999994
- type: recall_at_5
value: 0.76
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.997
- type: map_at_10
value: 7.5569999999999995
- type: map_at_100
value: 12.238
- type: map_at_1000
value: 13.773
- type: map_at_3
value: 4.334
- type: map_at_5
value: 5.5
- type: mrr_at_1
value: 24.490000000000002
- type: mrr_at_10
value: 40.799
- type: mrr_at_100
value: 41.915
- type: mrr_at_1000
value: 41.926
- type: mrr_at_3
value: 36.054
- type: mrr_at_5
value: 39.217999999999996
- type: ndcg_at_1
value: 22.448999999999998
- type: ndcg_at_10
value: 19.933999999999997
- type: ndcg_at_100
value: 30.525999999999996
- type: ndcg_at_1000
value: 43.147999999999996
- type: ndcg_at_3
value: 22.283
- type: ndcg_at_5
value: 21.224
- type: precision_at_1
value: 24.490000000000002
- type: precision_at_10
value: 17.551
- type: precision_at_100
value: 6.4079999999999995
- type: precision_at_1000
value: 1.463
- type: precision_at_3
value: 23.128999999999998
- type: precision_at_5
value: 20.816000000000003
- type: recall_at_1
value: 1.997
- type: recall_at_10
value: 13.001999999999999
- type: recall_at_100
value: 40.98
- type: recall_at_1000
value: 79.40899999999999
- type: recall_at_3
value: 5.380999999999999
- type: recall_at_5
value: 7.721
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 66.0898
- type: ap
value: 12.085385183980698
- type: f1
value: 50.795355262136766
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 55.028296547821164
- type: f1
value: 55.31088386514747
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 50.065510618285934
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 86.07617571675507
- type: cos_sim_ap
value: 73.85397891429963
- type: cos_sim_f1
value: 68.50702798531087
- type: cos_sim_precision
value: 65.86316045775506
- type: cos_sim_recall
value: 71.37203166226914
- type: dot_accuracy
value: 86.07617571675507
- type: dot_ap
value: 73.85397372247319
- type: dot_f1
value: 68.50702798531087
- type: dot_precision
value: 65.86316045775506
- type: dot_recall
value: 71.37203166226914
- type: euclidean_accuracy
value: 86.07617571675507
- type: euclidean_ap
value: 73.85397657756167
- type: euclidean_f1
value: 68.50702798531087
- type: euclidean_precision
value: 65.86316045775506
- type: euclidean_recall
value: 71.37203166226914
- type: manhattan_accuracy
value: 85.98676759849795
- type: manhattan_ap
value: 73.86876714443989
- type: manhattan_f1
value: 68.55096559662361
- type: manhattan_precision
value: 66.51774633904195
- type: manhattan_recall
value: 70.71240105540898
- type: max_accuracy
value: 86.07617571675507
- type: max_ap
value: 73.86876714443989
- type: max_f1
value: 68.55096559662361
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 88.51631932316529
- type: cos_sim_ap
value: 85.10832311156074
- type: cos_sim_f1
value: 77.14563397129186
- type: cos_sim_precision
value: 74.9709386806161
- type: cos_sim_recall
value: 79.45026178010471
- type: dot_accuracy
value: 88.51631932316529
- type: dot_ap
value: 85.10831793463562
- type: dot_f1
value: 77.14563397129186
- type: dot_precision
value: 74.9709386806161
- type: dot_recall
value: 79.45026178010471
- type: euclidean_accuracy
value: 88.51631932316529
- type: euclidean_ap
value: 85.10831981936006
- type: euclidean_f1
value: 77.14563397129186
- type: euclidean_precision
value: 74.9709386806161
- type: euclidean_recall
value: 79.45026178010471
- type: manhattan_accuracy
value: 88.50467652423643
- type: manhattan_ap
value: 85.0833090132178
- type: manhattan_f1
value: 77.11157455683002
- type: manhattan_precision
value: 74.67541834968263
- type: manhattan_recall
value: 79.71204188481676
- type: max_accuracy
value: 88.51631932316529
- type: max_ap
value: 85.10832311156074
- type: max_f1
value: 77.14563397129186