metadata
tags:
- mteb
model-index:
- name: nomic_classification_307_w50k_b30k
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 72.04477611940298
- type: ap
value: 34.133147681736574
- type: f1
value: 65.73569090089603
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 64.6129
- type: ap
value: 59.73474867106533
- type: f1
value: 64.37745361254407
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 33.86000000000001
- type: f1
value: 33.4167439582646
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 20.555
- type: map_at_10
value: 34.29
- type: map_at_100
value: 35.473
- type: map_at_1000
value: 35.498000000000005
- type: map_at_3
value: 29.753
- type: map_at_5
value: 32.257000000000005
- type: mrr_at_1
value: 21.266
- type: mrr_at_10
value: 34.571000000000005
- type: mrr_at_100
value: 35.732
- type: mrr_at_1000
value: 35.758
- type: mrr_at_3
value: 30.037999999999997
- type: mrr_at_5
value: 32.492
- type: ndcg_at_1
value: 20.555
- type: ndcg_at_10
value: 42.283
- type: ndcg_at_100
value: 47.904
- type: ndcg_at_1000
value: 48.518
- type: ndcg_at_3
value: 32.845
- type: ndcg_at_5
value: 37.372
- type: precision_at_1
value: 20.555
- type: precision_at_10
value: 6.7989999999999995
- type: precision_at_100
value: 0.9400000000000001
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 13.94
- type: precision_at_5
value: 10.569
- type: recall_at_1
value: 20.555
- type: recall_at_10
value: 67.994
- type: recall_at_100
value: 93.95400000000001
- type: recall_at_1000
value: 98.649
- type: recall_at_3
value: 41.821000000000005
- type: recall_at_5
value: 52.845
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 31.705177661382283
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 21.93065120477086
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 52.52224532394495
- type: mrr
value: 66.04625599085433
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 78.75516031950443
- type: cos_sim_spearman
value: 76.92645161656596
- type: euclidean_pearson
value: 78.07410163583403
- type: euclidean_spearman
value: 76.92645161656596
- type: manhattan_pearson
value: 77.99272531232194
- type: manhattan_spearman
value: 76.85596808284
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 72.29220779220779
- type: f1
value: 71.45293655648962
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 29.683083608126136
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 20.115223677732263
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 21.508
- type: map_at_10
value: 28.613
- type: map_at_100
value: 29.694
- type: map_at_1000
value: 29.848000000000003
- type: map_at_3
value: 26.444000000000003
- type: map_at_5
value: 27.705000000000002
- type: mrr_at_1
value: 27.039
- type: mrr_at_10
value: 34.28
- type: mrr_at_100
value: 35.156
- type: mrr_at_1000
value: 35.229
- type: mrr_at_3
value: 32.546
- type: mrr_at_5
value: 33.541
- type: ndcg_at_1
value: 27.039
- type: ndcg_at_10
value: 33.157
- type: ndcg_at_100
value: 38.172
- type: ndcg_at_1000
value: 41.407
- type: ndcg_at_3
value: 30.293999999999997
- type: ndcg_at_5
value: 31.540000000000003
- type: precision_at_1
value: 27.039
- type: precision_at_10
value: 6.223
- type: precision_at_100
value: 1.087
- type: precision_at_1000
value: 0.166
- type: precision_at_3
value: 14.688
- type: precision_at_5
value: 10.501000000000001
- type: recall_at_1
value: 21.508
- type: recall_at_10
value: 40.608
- type: recall_at_100
value: 63.131
- type: recall_at_1000
value: 85.292
- type: recall_at_3
value: 31.283
- type: recall_at_5
value: 35.237
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 16.338
- type: map_at_10
value: 21.65
- type: map_at_100
value: 22.549
- type: map_at_1000
value: 22.675
- type: map_at_3
value: 19.888
- type: map_at_5
value: 20.848
- type: mrr_at_1
value: 20.764
- type: mrr_at_10
value: 25.8
- type: mrr_at_100
value: 26.590000000000003
- type: mrr_at_1000
value: 26.663999999999998
- type: mrr_at_3
value: 24.066000000000003
- type: mrr_at_5
value: 24.907
- type: ndcg_at_1
value: 20.764
- type: ndcg_at_10
value: 25.229000000000003
- type: ndcg_at_100
value: 29.604000000000003
- type: ndcg_at_1000
value: 32.535
- type: ndcg_at_3
value: 22.294
- type: ndcg_at_5
value: 23.52
- type: precision_at_1
value: 20.764
- type: precision_at_10
value: 4.675
- type: precision_at_100
value: 0.859
- type: precision_at_1000
value: 0.136
- type: precision_at_3
value: 10.616
- type: precision_at_5
value: 7.567
- type: recall_at_1
value: 16.338
- type: recall_at_10
value: 31.825
- type: recall_at_100
value: 51.400999999999996
- type: recall_at_1000
value: 71.50800000000001
- type: recall_at_3
value: 23.372
- type: recall_at_5
value: 26.662000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 25.196
- type: map_at_10
value: 33.175
- type: map_at_100
value: 34.239000000000004
- type: map_at_1000
value: 34.339
- type: map_at_3
value: 30.887999999999998
- type: map_at_5
value: 32.090999999999994
- type: mrr_at_1
value: 28.965999999999998
- type: mrr_at_10
value: 36.148
- type: mrr_at_100
value: 37.015
- type: mrr_at_1000
value: 37.078
- type: mrr_at_3
value: 33.992
- type: mrr_at_5
value: 35.117
- type: ndcg_at_1
value: 28.965999999999998
- type: ndcg_at_10
value: 37.687
- type: ndcg_at_100
value: 42.768
- type: ndcg_at_1000
value: 45.07
- type: ndcg_at_3
value: 33.341
- type: ndcg_at_5
value: 35.237
- type: precision_at_1
value: 28.965999999999998
- type: precision_at_10
value: 6.138
- type: precision_at_100
value: 0.95
- type: precision_at_1000
value: 0.123
- type: precision_at_3
value: 14.796000000000001
- type: precision_at_5
value: 10.194
- type: recall_at_1
value: 25.196
- type: recall_at_10
value: 48.443000000000005
- type: recall_at_100
value: 71.414
- type: recall_at_1000
value: 88.108
- type: recall_at_3
value: 36.647999999999996
- type: recall_at_5
value: 41.384
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 11.036
- type: map_at_10
value: 15.011
- type: map_at_100
value: 15.751999999999999
- type: map_at_1000
value: 15.864
- type: map_at_3
value: 13.675
- type: map_at_5
value: 14.414
- type: mrr_at_1
value: 12.203
- type: mrr_at_10
value: 16.232
- type: mrr_at_100
value: 16.965
- type: mrr_at_1000
value: 17.069000000000003
- type: mrr_at_3
value: 14.84
- type: mrr_at_5
value: 15.591
- type: ndcg_at_1
value: 12.203
- type: ndcg_at_10
value: 17.59
- type: ndcg_at_100
value: 21.718
- type: ndcg_at_1000
value: 25.108000000000004
- type: ndcg_at_3
value: 14.857999999999999
- type: ndcg_at_5
value: 16.161
- type: precision_at_1
value: 12.203
- type: precision_at_10
value: 2.757
- type: precision_at_100
value: 0.518
- type: precision_at_1000
value: 0.08499999999999999
- type: precision_at_3
value: 6.328
- type: precision_at_5
value: 4.497
- type: recall_at_1
value: 11.036
- type: recall_at_10
value: 24.511
- type: recall_at_100
value: 44.396
- type: recall_at_1000
value: 70.916
- type: recall_at_3
value: 17.1
- type: recall_at_5
value: 20.244999999999997
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 6.329999999999999
- type: map_at_10
value: 9.338000000000001
- type: map_at_100
value: 10.047
- type: map_at_1000
value: 10.164
- type: map_at_3
value: 8.072
- type: map_at_5
value: 8.863
- type: mrr_at_1
value: 8.333
- type: mrr_at_10
value: 11.55
- type: mrr_at_100
value: 12.298
- type: mrr_at_1000
value: 12.393
- type: mrr_at_3
value: 10.095
- type: mrr_at_5
value: 10.947
- type: ndcg_at_1
value: 8.333
- type: ndcg_at_10
value: 11.676
- type: ndcg_at_100
value: 15.468000000000002
- type: ndcg_at_1000
value: 19.057
- type: ndcg_at_3
value: 9.17
- type: ndcg_at_5
value: 10.484
- type: precision_at_1
value: 8.333
- type: precision_at_10
value: 2.2640000000000002
- type: precision_at_100
value: 0.484
- type: precision_at_1000
value: 0.093
- type: precision_at_3
value: 4.353
- type: precision_at_5
value: 3.458
- type: recall_at_1
value: 6.329999999999999
- type: recall_at_10
value: 16.825000000000003
- type: recall_at_100
value: 33.986
- type: recall_at_1000
value: 60.80799999999999
- type: recall_at_3
value: 9.98
- type: recall_at_5
value: 13.251
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 17.105999999999998
- type: map_at_10
value: 22.99
- type: map_at_100
value: 24.108999999999998
- type: map_at_1000
value: 24.239
- type: map_at_3
value: 21.096999999999998
- type: map_at_5
value: 22.076
- type: mrr_at_1
value: 21.752
- type: mrr_at_10
value: 27.793
- type: mrr_at_100
value: 28.676000000000002
- type: mrr_at_1000
value: 28.754999999999995
- type: mrr_at_3
value: 25.874000000000002
- type: mrr_at_5
value: 26.88
- type: ndcg_at_1
value: 21.752
- type: ndcg_at_10
value: 27.151999999999997
- type: ndcg_at_100
value: 32.492
- type: ndcg_at_1000
value: 35.563
- type: ndcg_at_3
value: 23.839
- type: ndcg_at_5
value: 25.188
- type: precision_at_1
value: 21.752
- type: precision_at_10
value: 4.986
- type: precision_at_100
value: 0.9249999999999999
- type: precision_at_1000
value: 0.13899999999999998
- type: precision_at_3
value: 11.197
- type: precision_at_5
value: 7.968999999999999
- type: recall_at_1
value: 17.105999999999998
- type: recall_at_10
value: 35.231
- type: recall_at_100
value: 58.634
- type: recall_at_1000
value: 80.077
- type: recall_at_3
value: 25.534000000000002
- type: recall_at_5
value: 29.175
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 11.303
- type: map_at_10
value: 16.778000000000002
- type: map_at_100
value: 17.802
- type: map_at_1000
value: 17.944
- type: map_at_3
value: 14.906
- type: map_at_5
value: 16.038
- type: mrr_at_1
value: 14.269000000000002
- type: mrr_at_10
value: 19.967
- type: mrr_at_100
value: 20.921
- type: mrr_at_1000
value: 21.009
- type: mrr_at_3
value: 18.075
- type: mrr_at_5
value: 19.198999999999998
- type: ndcg_at_1
value: 14.269000000000002
- type: ndcg_at_10
value: 20.294999999999998
- type: ndcg_at_100
value: 25.346999999999998
- type: ndcg_at_1000
value: 28.860999999999997
- type: ndcg_at_3
value: 16.858
- type: ndcg_at_5
value: 18.647
- type: precision_at_1
value: 14.269000000000002
- type: precision_at_10
value: 3.904
- type: precision_at_100
value: 0.757
- type: precision_at_1000
value: 0.124
- type: precision_at_3
value: 8.029
- type: precision_at_5
value: 6.164
- type: recall_at_1
value: 11.303
- type: recall_at_10
value: 27.661
- type: recall_at_100
value: 49.976
- type: recall_at_1000
value: 75.01400000000001
- type: recall_at_3
value: 18.719
- type: recall_at_5
value: 23.061999999999998
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 13.457416666666669
- type: map_at_10
value: 18.469333333333335
- type: map_at_100
value: 19.32433333333334
- type: map_at_1000
value: 19.44766666666667
- type: map_at_3
value: 16.88808333333333
- type: map_at_5
value: 17.75958333333333
- type: mrr_at_1
value: 16.38458333333333
- type: mrr_at_10
value: 21.479583333333334
- type: mrr_at_100
value: 22.253666666666664
- type: mrr_at_1000
value: 22.340916666666665
- type: mrr_at_3
value: 19.879083333333334
- type: mrr_at_5
value: 20.749750000000002
- type: ndcg_at_1
value: 16.38458333333333
- type: ndcg_at_10
value: 21.7645
- type: ndcg_at_100
value: 26.100583333333333
- type: ndcg_at_1000
value: 29.30358333333334
- type: ndcg_at_3
value: 18.90866666666667
- type: ndcg_at_5
value: 20.19475
- type: precision_at_1
value: 16.38458333333333
- type: precision_at_10
value: 3.896916666666667
- type: precision_at_100
value: 0.7189999999999999
- type: precision_at_1000
value: 0.11716666666666666
- type: precision_at_3
value: 8.805583333333333
- type: precision_at_5
value: 6.311999999999999
- type: recall_at_1
value: 13.457416666666669
- type: recall_at_10
value: 28.731250000000003
- type: recall_at_100
value: 48.64233333333334
- type: recall_at_1000
value: 72.04116666666665
- type: recall_at_3
value: 20.665249999999997
- type: recall_at_5
value: 23.995583333333332
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 10.05
- type: map_at_10
value: 14.036999999999999
- type: map_at_100
value: 14.64
- type: map_at_1000
value: 14.722
- type: map_at_3
value: 12.85
- type: map_at_5
value: 13.517000000000001
- type: mrr_at_1
value: 12.117
- type: mrr_at_10
value: 16.145
- type: mrr_at_100
value: 16.732
- type: mrr_at_1000
value: 16.811
- type: mrr_at_3
value: 14.877
- type: mrr_at_5
value: 15.583
- type: ndcg_at_1
value: 12.117
- type: ndcg_at_10
value: 16.668
- type: ndcg_at_100
value: 19.971
- type: ndcg_at_1000
value: 22.527
- type: ndcg_at_3
value: 14.393
- type: ndcg_at_5
value: 15.436
- type: precision_at_1
value: 12.117
- type: precision_at_10
value: 2.822
- type: precision_at_100
value: 0.49500000000000005
- type: precision_at_1000
value: 0.078
- type: precision_at_3
value: 6.646000000000001
- type: precision_at_5
value: 4.662999999999999
- type: recall_at_1
value: 10.05
- type: recall_at_10
value: 22.899
- type: recall_at_100
value: 38.489000000000004
- type: recall_at_1000
value: 58.275
- type: recall_at_3
value: 16.166
- type: recall_at_5
value: 18.976000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.185999999999999
- type: map_at_10
value: 10.324
- type: map_at_100
value: 10.921
- type: map_at_1000
value: 11.038
- type: map_at_3
value: 9.35
- type: map_at_5
value: 9.918000000000001
- type: mrr_at_1
value: 8.878
- type: mrr_at_10
value: 12.497
- type: mrr_at_100
value: 13.103000000000002
- type: mrr_at_1000
value: 13.203000000000001
- type: mrr_at_3
value: 11.373
- type: mrr_at_5
value: 12.061
- type: ndcg_at_1
value: 8.878
- type: ndcg_at_10
value: 12.543000000000001
- type: ndcg_at_100
value: 15.943999999999999
- type: ndcg_at_1000
value: 19.407
- type: ndcg_at_3
value: 10.687000000000001
- type: ndcg_at_5
value: 11.619
- type: precision_at_1
value: 8.878
- type: precision_at_10
value: 2.35
- type: precision_at_100
value: 0.488
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 5.127000000000001
- type: precision_at_5
value: 3.82
- type: recall_at_1
value: 7.185999999999999
- type: recall_at_10
value: 17.138
- type: recall_at_100
value: 33.194
- type: recall_at_1000
value: 59.14
- type: recall_at_3
value: 12.058
- type: recall_at_5
value: 14.329
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 11.498
- type: map_at_10
value: 15.725
- type: map_at_100
value: 16.515
- type: map_at_1000
value: 16.628
- type: map_at_3
value: 14.335999999999999
- type: map_at_5
value: 15.027
- type: mrr_at_1
value: 14.086000000000002
- type: mrr_at_10
value: 18.592
- type: mrr_at_100
value: 19.405
- type: mrr_at_1000
value: 19.500999999999998
- type: mrr_at_3
value: 17.086000000000002
- type: mrr_at_5
value: 17.855999999999998
- type: ndcg_at_1
value: 14.086000000000002
- type: ndcg_at_10
value: 18.686
- type: ndcg_at_100
value: 22.925
- type: ndcg_at_1000
value: 26.279999999999998
- type: ndcg_at_3
value: 15.955
- type: ndcg_at_5
value: 17.05
- type: precision_at_1
value: 14.086000000000002
- type: precision_at_10
value: 3.209
- type: precision_at_100
value: 0.587
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 7.338
- type: precision_at_5
value: 5.131
- type: recall_at_1
value: 11.498
- type: recall_at_10
value: 25.135
- type: recall_at_100
value: 44.751000000000005
- type: recall_at_1000
value: 69.75
- type: recall_at_3
value: 17.471999999999998
- type: recall_at_5
value: 20.273
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 13.111999999999998
- type: map_at_10
value: 19.224
- type: map_at_100
value: 20.183999999999997
- type: map_at_1000
value: 20.354
- type: map_at_3
value: 17.738
- type: map_at_5
value: 18.518
- type: mrr_at_1
value: 16.008
- type: mrr_at_10
value: 22.421
- type: mrr_at_100
value: 23.174
- type: mrr_at_1000
value: 23.261000000000003
- type: mrr_at_3
value: 20.784
- type: mrr_at_5
value: 21.634
- type: ndcg_at_1
value: 16.008
- type: ndcg_at_10
value: 23.082
- type: ndcg_at_100
value: 27.563
- type: ndcg_at_1000
value: 31.135
- type: ndcg_at_3
value: 20.517
- type: ndcg_at_5
value: 21.595
- type: precision_at_1
value: 16.008
- type: precision_at_10
value: 4.625
- type: precision_at_100
value: 0.966
- type: precision_at_1000
value: 0.179
- type: precision_at_3
value: 10.079
- type: precision_at_5
value: 7.2330000000000005
- type: recall_at_1
value: 13.111999999999998
- type: recall_at_10
value: 30.297
- type: recall_at_100
value: 51.549
- type: recall_at_1000
value: 76.255
- type: recall_at_3
value: 22.817999999999998
- type: recall_at_5
value: 25.741000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 10.825999999999999
- type: map_at_10
value: 14.767
- type: map_at_100
value: 15.440000000000001
- type: map_at_1000
value: 15.557000000000002
- type: map_at_3
value: 13.413
- type: map_at_5
value: 14.099999999999998
- type: mrr_at_1
value: 12.2
- type: mrr_at_10
value: 16.33
- type: mrr_at_100
value: 17.009
- type: mrr_at_1000
value: 17.118
- type: mrr_at_3
value: 14.940999999999999
- type: mrr_at_5
value: 15.681000000000001
- type: ndcg_at_1
value: 12.2
- type: ndcg_at_10
value: 17.409
- type: ndcg_at_100
value: 21.235
- type: ndcg_at_1000
value: 24.693
- type: ndcg_at_3
value: 14.698
- type: ndcg_at_5
value: 15.86
- type: precision_at_1
value: 12.2
- type: precision_at_10
value: 2.81
- type: precision_at_100
value: 0.512
- type: precision_at_1000
value: 0.09
- type: precision_at_3
value: 6.47
- type: precision_at_5
value: 4.547
- type: recall_at_1
value: 10.825999999999999
- type: recall_at_10
value: 24.202
- type: recall_at_100
value: 42.787
- type: recall_at_1000
value: 69.351
- type: recall_at_3
value: 16.833000000000002
- type: recall_at_5
value: 19.612
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 5.436
- type: map_at_10
value: 9.59
- type: map_at_100
value: 10.847
- type: map_at_1000
value: 11.043
- type: map_at_3
value: 7.797
- type: map_at_5
value: 8.627
- type: mrr_at_1
value: 12.182
- type: mrr_at_10
value: 19.584
- type: mrr_at_100
value: 20.772
- type: mrr_at_1000
value: 20.855999999999998
- type: mrr_at_3
value: 16.938
- type: mrr_at_5
value: 18.358
- type: ndcg_at_1
value: 12.182
- type: ndcg_at_10
value: 14.514
- type: ndcg_at_100
value: 20.495
- type: ndcg_at_1000
value: 24.664
- type: ndcg_at_3
value: 11.024000000000001
- type: ndcg_at_5
value: 12.200999999999999
- type: precision_at_1
value: 12.182
- type: precision_at_10
value: 4.853
- type: precision_at_100
value: 1.124
- type: precision_at_1000
value: 0.187
- type: precision_at_3
value: 8.317
- type: precision_at_5
value: 6.697
- type: recall_at_1
value: 5.436
- type: recall_at_10
value: 18.615000000000002
- type: recall_at_100
value: 39.621
- type: recall_at_1000
value: 63.852
- type: recall_at_3
value: 10.474
- type: recall_at_5
value: 13.370999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 3.8309999999999995
- type: map_at_10
value: 7.7490000000000006
- type: map_at_100
value: 10.421
- type: map_at_1000
value: 11.161
- type: map_at_3
value: 5.762
- type: map_at_5
value: 6.645
- type: mrr_at_1
value: 35.25
- type: mrr_at_10
value: 43.685
- type: mrr_at_100
value: 44.567
- type: mrr_at_1000
value: 44.618
- type: mrr_at_3
value: 41.375
- type: mrr_at_5
value: 42.85
- type: ndcg_at_1
value: 25.624999999999996
- type: ndcg_at_10
value: 19.837
- type: ndcg_at_100
value: 21.92
- type: ndcg_at_1000
value: 28.116000000000003
- type: ndcg_at_3
value: 22.561
- type: ndcg_at_5
value: 21.073
- type: precision_at_1
value: 35.25
- type: precision_at_10
value: 17.125
- type: precision_at_100
value: 5.35
- type: precision_at_1000
value: 1.142
- type: precision_at_3
value: 25.833000000000002
- type: precision_at_5
value: 22
- type: recall_at_1
value: 3.8309999999999995
- type: recall_at_10
value: 11.393
- type: recall_at_100
value: 26.519
- type: recall_at_1000
value: 47.249
- type: recall_at_3
value: 6.708
- type: recall_at_5
value: 8.584
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 43.69
- type: f1
value: 39.825457200782445
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 10.94
- type: map_at_10
value: 16.482
- type: map_at_100
value: 17.321
- type: map_at_1000
value: 17.403
- type: map_at_3
value: 14.679
- type: map_at_5
value: 15.637
- type: mrr_at_1
value: 11.701
- type: mrr_at_10
value: 17.583
- type: mrr_at_100
value: 18.444
- type: mrr_at_1000
value: 18.519
- type: mrr_at_3
value: 15.709000000000001
- type: mrr_at_5
value: 16.707
- type: ndcg_at_1
value: 11.701
- type: ndcg_at_10
value: 19.946
- type: ndcg_at_100
value: 24.462
- type: ndcg_at_1000
value: 26.863
- type: ndcg_at_3
value: 16.155
- type: ndcg_at_5
value: 17.888
- type: precision_at_1
value: 11.701
- type: precision_at_10
value: 3.2399999999999998
- type: precision_at_100
value: 0.5680000000000001
- type: precision_at_1000
value: 0.079
- type: precision_at_3
value: 6.991
- type: precision_at_5
value: 5.101
- type: recall_at_1
value: 10.94
- type: recall_at_10
value: 29.848000000000003
- type: recall_at_100
value: 51.451
- type: recall_at_1000
value: 70.316
- type: recall_at_3
value: 19.39
- type: recall_at_5
value: 23.583000000000002
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 5.825
- type: map_at_10
value: 9.669
- type: map_at_100
value: 10.657
- type: map_at_1000
value: 10.850999999999999
- type: map_at_3
value: 8.174
- type: map_at_5
value: 8.931000000000001
- type: mrr_at_1
value: 11.574
- type: mrr_at_10
value: 17.153
- type: mrr_at_100
value: 18.027
- type: mrr_at_1000
value: 18.138
- type: mrr_at_3
value: 15.201
- type: mrr_at_5
value: 16.119
- type: ndcg_at_1
value: 11.574
- type: ndcg_at_10
value: 13.599
- type: ndcg_at_100
value: 18.422
- type: ndcg_at_1000
value: 23.124
- type: ndcg_at_3
value: 11.219999999999999
- type: ndcg_at_5
value: 11.984
- type: precision_at_1
value: 11.574
- type: precision_at_10
value: 4.043
- type: precision_at_100
value: 0.8869999999999999
- type: precision_at_1000
value: 0.168
- type: precision_at_3
value: 7.716000000000001
- type: precision_at_5
value: 5.926
- type: recall_at_1
value: 5.825
- type: recall_at_10
value: 17.837
- type: recall_at_100
value: 36.771
- type: recall_at_1000
value: 66.81
- type: recall_at_3
value: 10.181999999999999
- type: recall_at_5
value: 12.909
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 13.558
- type: map_at_10
value: 18.987000000000002
- type: map_at_100
value: 19.768
- type: map_at_1000
value: 19.878999999999998
- type: map_at_3
value: 17.399
- type: map_at_5
value: 18.231
- type: mrr_at_1
value: 27.117
- type: mrr_at_10
value: 33.32
- type: mrr_at_100
value: 34.050000000000004
- type: mrr_at_1000
value: 34.122
- type: mrr_at_3
value: 31.570999999999998
- type: mrr_at_5
value: 32.519999999999996
- type: ndcg_at_1
value: 27.117
- type: ndcg_at_10
value: 24.708
- type: ndcg_at_100
value: 28.566000000000003
- type: ndcg_at_1000
value: 31.418000000000003
- type: ndcg_at_3
value: 21.549
- type: ndcg_at_5
value: 22.997
- type: precision_at_1
value: 27.117
- type: precision_at_10
value: 5.5169999999999995
- type: precision_at_100
value: 0.8630000000000001
- type: precision_at_1000
value: 0.125
- type: precision_at_3
value: 13.603000000000002
- type: precision_at_5
value: 9.313
- type: recall_at_1
value: 13.558
- type: recall_at_10
value: 27.583000000000002
- type: recall_at_100
value: 43.153000000000006
- type: recall_at_1000
value: 62.255
- type: recall_at_3
value: 20.405
- type: recall_at_5
value: 23.282
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 64.06880000000001
- type: ap
value: 59.27294551535466
- type: f1
value: 63.91536827569369
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 5.241
- type: map_at_10
value: 9.158
- type: map_at_100
value: 9.907
- type: map_at_1000
value: 10.001
- type: map_at_3
value: 7.7
- type: map_at_5
value: 8.466999999999999
- type: mrr_at_1
value: 5.43
- type: mrr_at_10
value: 9.42
- type: mrr_at_100
value: 10.174999999999999
- type: mrr_at_1000
value: 10.267999999999999
- type: mrr_at_3
value: 7.932
- type: mrr_at_5
value: 8.718
- type: ndcg_at_1
value: 5.415
- type: ndcg_at_10
value: 11.655
- type: ndcg_at_100
value: 15.894
- type: ndcg_at_1000
value: 18.837
- type: ndcg_at_3
value: 8.59
- type: ndcg_at_5
value: 9.982000000000001
- type: precision_at_1
value: 5.415
- type: precision_at_10
value: 2.023
- type: precision_at_100
value: 0.42500000000000004
- type: precision_at_1000
value: 0.068
- type: precision_at_3
value: 3.7920000000000003
- type: precision_at_5
value: 2.971
- type: recall_at_1
value: 5.241
- type: recall_at_10
value: 19.429
- type: recall_at_100
value: 40.422999999999995
- type: recall_at_1000
value: 64.191
- type: recall_at_3
value: 10.95
- type: recall_at_5
value: 14.319
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 89.40264477884178
- type: f1
value: 88.48890314653876
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 59.86320109439125
- type: f1
value: 40.351741507970175
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 62.17552118359112
- type: f1
value: 59.92291942649051
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 68.89710827168797
- type: f1
value: 67.48141199477321
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 27.003683715948068
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 23.655067999182727
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 28.614207594880682
- type: mrr
value: 29.46624248673221
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.047
- type: map_at_10
value: 6.144
- type: map_at_100
value: 7.806
- type: map_at_1000
value: 8.998000000000001
- type: map_at_3
value: 4.566
- type: map_at_5
value: 5.321
- type: mrr_at_1
value: 30.65
- type: mrr_at_10
value: 39.213
- type: mrr_at_100
value: 39.973
- type: mrr_at_1000
value: 40.048
- type: mrr_at_3
value: 36.687
- type: mrr_at_5
value: 38.421
- type: ndcg_at_1
value: 28.638
- type: ndcg_at_10
value: 21.032
- type: ndcg_at_100
value: 19.85
- type: ndcg_at_1000
value: 29.416999999999998
- type: ndcg_at_3
value: 24.403
- type: ndcg_at_5
value: 22.956
- type: precision_at_1
value: 30.65
- type: precision_at_10
value: 15.479999999999999
- type: precision_at_100
value: 5.83
- type: precision_at_1000
value: 1.8800000000000001
- type: precision_at_3
value: 23.22
- type: precision_at_5
value: 19.628
- type: recall_at_1
value: 3.047
- type: recall_at_10
value: 9.871
- type: recall_at_100
value: 21.556
- type: recall_at_1000
value: 56.15
- type: recall_at_3
value: 5.476
- type: recall_at_5
value: 7.359
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 7.79
- type: map_at_10
value: 13.5
- type: map_at_100
value: 14.541
- type: map_at_1000
value: 14.643
- type: map_at_3
value: 11.446000000000002
- type: map_at_5
value: 12.437
- type: mrr_at_1
value: 8.863999999999999
- type: mrr_at_10
value: 14.985000000000001
- type: mrr_at_100
value: 15.989999999999998
- type: mrr_at_1000
value: 16.073
- type: mrr_at_3
value: 12.799
- type: mrr_at_5
value: 13.902999999999999
- type: ndcg_at_1
value: 8.863999999999999
- type: ndcg_at_10
value: 17.335
- type: ndcg_at_100
value: 22.884
- type: ndcg_at_1000
value: 25.747999999999998
- type: ndcg_at_3
value: 12.97
- type: ndcg_at_5
value: 14.799000000000001
- type: precision_at_1
value: 8.863999999999999
- type: precision_at_10
value: 3.2620000000000005
- type: precision_at_100
value: 0.6459999999999999
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 6.161
- type: precision_at_5
value: 4.733
- type: recall_at_1
value: 7.79
- type: recall_at_10
value: 27.868
- type: recall_at_100
value: 54.096999999999994
- type: recall_at_1000
value: 76.27199999999999
- type: recall_at_3
value: 16.063
- type: recall_at_5
value: 20.355
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 60.968
- type: map_at_10
value: 73.346
- type: map_at_100
value: 74.144
- type: map_at_1000
value: 74.181
- type: map_at_3
value: 70.462
- type: map_at_5
value: 72.167
- type: mrr_at_1
value: 70.24000000000001
- type: mrr_at_10
value: 77.794
- type: mrr_at_100
value: 78.079
- type: mrr_at_1000
value: 78.086
- type: mrr_at_3
value: 76.265
- type: mrr_at_5
value: 77.242
- type: ndcg_at_1
value: 70.28999999999999
- type: ndcg_at_10
value: 78.16199999999999
- type: ndcg_at_100
value: 80.515
- type: ndcg_at_1000
value: 80.987
- type: ndcg_at_3
value: 74.49
- type: ndcg_at_5
value: 76.334
- type: precision_at_1
value: 70.28999999999999
- type: precision_at_10
value: 11.827
- type: precision_at_100
value: 1.435
- type: precision_at_1000
value: 0.154
- type: precision_at_3
value: 32.25
- type: precision_at_5
value: 21.342
- type: recall_at_1
value: 60.968
- type: recall_at_10
value: 87.449
- type: recall_at_100
value: 96.557
- type: recall_at_1000
value: 99.328
- type: recall_at_3
value: 76.91799999999999
- type: recall_at_5
value: 82.048
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 28.013469586101447
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 43.29182795065702
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.635
- type: map_at_10
value: 6.061
- type: map_at_100
value: 7.287000000000001
- type: map_at_1000
value: 7.528
- type: map_at_3
value: 4.424
- type: map_at_5
value: 5.226
- type: mrr_at_1
value: 13
- type: mrr_at_10
value: 20.066
- type: mrr_at_100
value: 21.352
- type: mrr_at_1000
value: 21.447
- type: mrr_at_3
value: 17.666999999999998
- type: mrr_at_5
value: 19.002
- type: ndcg_at_1
value: 13
- type: ndcg_at_10
value: 10.943
- type: ndcg_at_100
value: 16.822
- type: ndcg_at_1000
value: 21.905
- type: ndcg_at_3
value: 10.291
- type: ndcg_at_5
value: 9.028
- type: precision_at_1
value: 13
- type: precision_at_10
value: 5.680000000000001
- type: precision_at_100
value: 1.4200000000000002
- type: precision_at_1000
value: 0.265
- type: precision_at_3
value: 9.5
- type: precision_at_5
value: 7.86
- type: recall_at_1
value: 2.635
- type: recall_at_10
value: 11.501999999999999
- type: recall_at_100
value: 28.854999999999997
- type: recall_at_1000
value: 53.818
- type: recall_at_3
value: 5.798
- type: recall_at_5
value: 7.963000000000001
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.50555278582816
- type: cos_sim_spearman
value: 67.67214548084267
- type: euclidean_pearson
value: 72.80672647042718
- type: euclidean_spearman
value: 67.67205019006775
- type: manhattan_pearson
value: 71.39917324420631
- type: manhattan_spearman
value: 66.3359934752193
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 73.46335143910176
- type: cos_sim_spearman
value: 66.48232205374549
- type: euclidean_pearson
value: 69.85631416436473
- type: euclidean_spearman
value: 66.48363705410418
- type: manhattan_pearson
value: 70.72055367256513
- type: manhattan_spearman
value: 67.85751320875836
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 77.64955371743831
- type: cos_sim_spearman
value: 78.9381622922565
- type: euclidean_pearson
value: 78.55659975799884
- type: euclidean_spearman
value: 78.93820009727344
- type: manhattan_pearson
value: 79.0225046950142
- type: manhattan_spearman
value: 79.48472901118284
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 77.25183335845733
- type: cos_sim_spearman
value: 74.24842723953067
- type: euclidean_pearson
value: 76.4686232324461
- type: euclidean_spearman
value: 74.24841754885648
- type: manhattan_pearson
value: 76.58863832312952
- type: manhattan_spearman
value: 74.65445574230469
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 79.89380076521006
- type: cos_sim_spearman
value: 80.97474081393298
- type: euclidean_pearson
value: 80.98258525159558
- type: euclidean_spearman
value: 80.97473932039865
- type: manhattan_pearson
value: 81.6739145030644
- type: manhattan_spearman
value: 81.84024193133868
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 75.47297982552274
- type: cos_sim_spearman
value: 76.78688389457616
- type: euclidean_pearson
value: 76.42350164312737
- type: euclidean_spearman
value: 76.78743419029857
- type: manhattan_pearson
value: 77.05352545216272
- type: manhattan_spearman
value: 77.51886896774369
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 82.91509212460161
- type: cos_sim_spearman
value: 84.0998411802368
- type: euclidean_pearson
value: 84.18246980817624
- type: euclidean_spearman
value: 84.10071528982036
- type: manhattan_pearson
value: 84.4128363010489
- type: manhattan_spearman
value: 84.43725453490214
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 62.86109059526856
- type: cos_sim_spearman
value: 60.51897891571115
- type: euclidean_pearson
value: 62.803664785666925
- type: euclidean_spearman
value: 60.51897891571115
- type: manhattan_pearson
value: 63.29647652965783
- type: manhattan_spearman
value: 61.57692163615942
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 77.23785194416263
- type: cos_sim_spearman
value: 75.86058891622369
- type: euclidean_pearson
value: 77.38393317729829
- type: euclidean_spearman
value: 75.86063730582144
- type: manhattan_pearson
value: 77.4860432550345
- type: manhattan_spearman
value: 76.0756045460265
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 70.65732608186795
- type: mrr
value: 90.0984182846928
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 30.721999999999998
- type: map_at_10
value: 37.522
- type: map_at_100
value: 38.699
- type: map_at_1000
value: 38.769
- type: map_at_3
value: 34.995
- type: map_at_5
value: 36.701
- type: mrr_at_1
value: 32.667
- type: mrr_at_10
value: 39.298
- type: mrr_at_100
value: 40.297
- type: mrr_at_1000
value: 40.354
- type: mrr_at_3
value: 37.167
- type: mrr_at_5
value: 38.533
- type: ndcg_at_1
value: 32.667
- type: ndcg_at_10
value: 41.634
- type: ndcg_at_100
value: 47.49
- type: ndcg_at_1000
value: 49.419000000000004
- type: ndcg_at_3
value: 36.925000000000004
- type: ndcg_at_5
value: 39.739000000000004
- type: precision_at_1
value: 32.667
- type: precision_at_10
value: 5.833
- type: precision_at_100
value: 0.91
- type: precision_at_1000
value: 0.108
- type: precision_at_3
value: 14.556
- type: precision_at_5
value: 10.333
- type: recall_at_1
value: 30.721999999999998
- type: recall_at_10
value: 52.722
- type: recall_at_100
value: 80.417
- type: recall_at_1000
value: 95.8
- type: recall_at_3
value: 40.306
- type: recall_at_5
value: 47.083000000000006
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.63564356435643
- type: cos_sim_ap
value: 87.3180475245355
- type: cos_sim_f1
value: 80.3125
- type: cos_sim_precision
value: 83.80434782608695
- type: cos_sim_recall
value: 77.10000000000001
- type: dot_accuracy
value: 99.63564356435643
- type: dot_ap
value: 87.3180475245355
- type: dot_f1
value: 80.3125
- type: dot_precision
value: 83.80434782608695
- type: dot_recall
value: 77.10000000000001
- type: euclidean_accuracy
value: 99.63564356435643
- type: euclidean_ap
value: 87.3180475245355
- type: euclidean_f1
value: 80.3125
- type: euclidean_precision
value: 83.80434782608695
- type: euclidean_recall
value: 77.10000000000001
- type: manhattan_accuracy
value: 99.69504950495049
- type: manhattan_ap
value: 90.59998550104231
- type: manhattan_f1
value: 83.91462779802187
- type: manhattan_precision
value: 87.51357220412595
- type: manhattan_recall
value: 80.60000000000001
- type: max_accuracy
value: 99.69504950495049
- type: max_ap
value: 90.59998550104231
- type: max_f1
value: 83.91462779802187
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 32.31610507058257
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.125242344875502
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 43.09273403724595
- type: mrr
value: 43.54354999575587
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.14375732010076
- type: cos_sim_spearman
value: 29.565975101655656
- type: dot_pearson
value: 30.14375735419279
- type: dot_spearman
value: 29.497714274949065
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.11299999999999999
- type: map_at_10
value: 0.652
- type: map_at_100
value: 3.51
- type: map_at_1000
value: 8.445
- type: map_at_3
value: 0.259
- type: map_at_5
value: 0.392
- type: mrr_at_1
value: 46
- type: mrr_at_10
value: 58.263
- type: mrr_at_100
value: 58.935
- type: mrr_at_1000
value: 58.935
- type: mrr_at_3
value: 55.00000000000001
- type: mrr_at_5
value: 56.39999999999999
- type: ndcg_at_1
value: 41
- type: ndcg_at_10
value: 34.724
- type: ndcg_at_100
value: 27.108999999999998
- type: ndcg_at_1000
value: 24.773999999999997
- type: ndcg_at_3
value: 38.48
- type: ndcg_at_5
value: 37.399
- type: precision_at_1
value: 48
- type: precision_at_10
value: 37.2
- type: precision_at_100
value: 28.4
- type: precision_at_1000
value: 12.21
- type: precision_at_3
value: 42.667
- type: precision_at_5
value: 40.8
- type: recall_at_1
value: 0.11299999999999999
- type: recall_at_10
value: 0.8370000000000001
- type: recall_at_100
value: 5.992
- type: recall_at_1000
value: 24.051000000000002
- type: recall_at_3
value: 0.28800000000000003
- type: recall_at_5
value: 0.469
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.173
- type: map_at_10
value: 8.079
- type: map_at_100
value: 13.44
- type: map_at_1000
value: 14.985000000000001
- type: map_at_3
value: 4.756
- type: map_at_5
value: 5.995
- type: mrr_at_1
value: 30.612000000000002
- type: mrr_at_10
value: 43.341
- type: mrr_at_100
value: 44.192
- type: mrr_at_1000
value: 44.192
- type: mrr_at_3
value: 40.136
- type: mrr_at_5
value: 41.463
- type: ndcg_at_1
value: 27.551
- type: ndcg_at_10
value: 20.093
- type: ndcg_at_100
value: 33.133
- type: ndcg_at_1000
value: 44.344
- type: ndcg_at_3
value: 25.82
- type: ndcg_at_5
value: 22.216
- type: precision_at_1
value: 30.612000000000002
- type: precision_at_10
value: 17.755000000000003
- type: precision_at_100
value: 7.469
- type: precision_at_1000
value: 1.465
- type: precision_at_3
value: 27.891
- type: precision_at_5
value: 22.448999999999998
- type: recall_at_1
value: 2.173
- type: recall_at_10
value: 12.662999999999998
- type: recall_at_100
value: 44.589
- type: recall_at_1000
value: 78.997
- type: recall_at_3
value: 5.955
- type: recall_at_5
value: 7.89
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 69.899
- type: ap
value: 13.50183607213333
- type: f1
value: 53.589735425592465
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 53.74080362195812
- type: f1
value: 53.940488490088434
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 33.38930659623301
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.71580139476664
- type: cos_sim_ap
value: 65.75325189939345
- type: cos_sim_f1
value: 62.39284383153186
- type: cos_sim_precision
value: 58.95750176097676
- type: cos_sim_recall
value: 66.25329815303431
- type: dot_accuracy
value: 83.71580139476664
- type: dot_ap
value: 65.75325189939345
- type: dot_f1
value: 62.39284383153186
- type: dot_precision
value: 58.95750176097676
- type: dot_recall
value: 66.25329815303431
- type: euclidean_accuracy
value: 83.71580139476664
- type: euclidean_ap
value: 65.75325189939345
- type: euclidean_f1
value: 62.39284383153186
- type: euclidean_precision
value: 58.95750176097676
- type: euclidean_recall
value: 66.25329815303431
- type: manhattan_accuracy
value: 83.4714192048638
- type: manhattan_ap
value: 64.42014741278865
- type: manhattan_f1
value: 60.886814469078175
- type: manhattan_precision
value: 54.58158995815899
- type: manhattan_recall
value: 68.83905013192611
- type: max_accuracy
value: 83.71580139476664
- type: max_ap
value: 65.75325189939345
- type: max_f1
value: 62.39284383153186
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.46846741956766
- type: cos_sim_ap
value: 82.74561195728911
- type: cos_sim_f1
value: 74.91745501762196
- type: cos_sim_precision
value: 72.29183074389633
- type: cos_sim_recall
value: 77.74099168463196
- type: dot_accuracy
value: 87.46846741956766
- type: dot_ap
value: 82.74561216064899
- type: dot_f1
value: 74.91745501762196
- type: dot_precision
value: 72.29183074389633
- type: dot_recall
value: 77.74099168463196
- type: euclidean_accuracy
value: 87.46846741956766
- type: euclidean_ap
value: 82.74561227188258
- type: euclidean_f1
value: 74.91745501762196
- type: euclidean_precision
value: 72.29183074389633
- type: euclidean_recall
value: 77.74099168463196
- type: manhattan_accuracy
value: 87.4607055536151
- type: manhattan_ap
value: 82.82100726504085
- type: manhattan_f1
value: 74.95324413753418
- type: manhattan_precision
value: 70.329373650108
- type: manhattan_recall
value: 80.22790267939637
- type: max_accuracy
value: 87.46846741956766
- type: max_ap
value: 82.82100726504085
- type: max_f1
value: 74.95324413753418