metadata
tags:
- mteb
model-index:
- name: nomic_classification_prompt_domain_sample
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 74.53731343283583
- type: ap
value: 37.92571498384035
- type: f1
value: 68.77042705445326
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 66.16017500000001
- type: ap
value: 61.42247172783104
- type: f1
value: 65.38166709014324
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 34.396
- type: f1
value: 33.71300766345019
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 21.55
- type: map_at_10
value: 35.845
- type: map_at_100
value: 36.995
- type: map_at_1000
value: 37.018
- type: map_at_3
value: 30.856
- type: map_at_5
value: 33.605000000000004
- type: mrr_at_1
value: 22.048000000000002
- type: mrr_at_10
value: 36.039
- type: mrr_at_100
value: 37.181
- type: mrr_at_1000
value: 37.205
- type: mrr_at_3
value: 31.022
- type: mrr_at_5
value: 33.757
- type: ndcg_at_1
value: 21.55
- type: ndcg_at_10
value: 44.241
- type: ndcg_at_100
value: 49.457
- type: ndcg_at_1000
value: 50.024
- type: ndcg_at_3
value: 33.873999999999995
- type: ndcg_at_5
value: 38.826
- type: precision_at_1
value: 21.55
- type: precision_at_10
value: 7.134
- type: precision_at_100
value: 0.9490000000000001
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 14.201
- type: precision_at_5
value: 10.925
- type: recall_at_1
value: 21.55
- type: recall_at_10
value: 71.33699999999999
- type: recall_at_100
value: 94.879
- type: recall_at_1000
value: 99.21799999999999
- type: recall_at_3
value: 42.603
- type: recall_at_5
value: 54.623
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 34.77701037657294
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 24.616534607718528
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 54.39039727853101
- type: mrr
value: 68.89240645473332
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 81.96093442776794
- type: cos_sim_spearman
value: 79.80362560866212
- type: euclidean_pearson
value: 81.2337598243594
- type: euclidean_spearman
value: 79.80362560866212
- type: manhattan_pearson
value: 80.54695854084805
- type: manhattan_spearman
value: 79.70904514032895
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 72.1103896103896
- type: f1
value: 71.0424629611518
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 32.160979697519885
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 23.63609395107967
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 22.972
- type: map_at_10
value: 31.483
- type: map_at_100
value: 32.58
- type: map_at_1000
value: 32.732
- type: map_at_3
value: 28.822
- type: map_at_5
value: 30.412
- type: mrr_at_1
value: 28.754999999999995
- type: mrr_at_10
value: 37.302
- type: mrr_at_100
value: 38.065
- type: mrr_at_1000
value: 38.132
- type: mrr_at_3
value: 35.074
- type: mrr_at_5
value: 36.504999999999995
- type: ndcg_at_1
value: 28.754999999999995
- type: ndcg_at_10
value: 36.9
- type: ndcg_at_100
value: 41.785
- type: ndcg_at_1000
value: 44.861000000000004
- type: ndcg_at_3
value: 33.013999999999996
- type: ndcg_at_5
value: 34.966
- type: precision_at_1
value: 28.754999999999995
- type: precision_at_10
value: 7.053
- type: precision_at_100
value: 1.1860000000000002
- type: precision_at_1000
value: 0.17500000000000002
- type: precision_at_3
value: 16.023
- type: precision_at_5
value: 11.76
- type: recall_at_1
value: 22.972
- type: recall_at_10
value: 46.699
- type: recall_at_100
value: 68.476
- type: recall_at_1000
value: 89.461
- type: recall_at_3
value: 34.792
- type: recall_at_5
value: 40.453
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 18.001
- type: map_at_10
value: 24.213
- type: map_at_100
value: 25.184
- type: map_at_1000
value: 25.301000000000002
- type: map_at_3
value: 22.157
- type: map_at_5
value: 23.357
- type: mrr_at_1
value: 22.93
- type: mrr_at_10
value: 28.843000000000004
- type: mrr_at_100
value: 29.637999999999998
- type: mrr_at_1000
value: 29.706
- type: mrr_at_3
value: 26.868
- type: mrr_at_5
value: 28.021
- type: ndcg_at_1
value: 22.93
- type: ndcg_at_10
value: 28.337
- type: ndcg_at_100
value: 32.696
- type: ndcg_at_1000
value: 35.483
- type: ndcg_at_3
value: 24.909
- type: ndcg_at_5
value: 26.601999999999997
- type: precision_at_1
value: 22.93
- type: precision_at_10
value: 5.255
- type: precision_at_100
value: 0.9199999999999999
- type: precision_at_1000
value: 0.14300000000000002
- type: precision_at_3
value: 11.911
- type: precision_at_5
value: 8.599
- type: recall_at_1
value: 18.001
- type: recall_at_10
value: 36.047000000000004
- type: recall_at_100
value: 55.123999999999995
- type: recall_at_1000
value: 73.919
- type: recall_at_3
value: 26.230999999999998
- type: recall_at_5
value: 30.791
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 27.74
- type: map_at_10
value: 36.899
- type: map_at_100
value: 38.021
- type: map_at_1000
value: 38.115
- type: map_at_3
value: 34.226
- type: map_at_5
value: 35.791000000000004
- type: mrr_at_1
value: 32.038
- type: mrr_at_10
value: 40.196
- type: mrr_at_100
value: 41.099000000000004
- type: mrr_at_1000
value: 41.159
- type: mrr_at_3
value: 37.858000000000004
- type: mrr_at_5
value: 39.262
- type: ndcg_at_1
value: 32.038
- type: ndcg_at_10
value: 41.835
- type: ndcg_at_100
value: 46.957
- type: ndcg_at_1000
value: 49.132
- type: ndcg_at_3
value: 37.03
- type: ndcg_at_5
value: 39.466
- type: precision_at_1
value: 32.038
- type: precision_at_10
value: 6.771000000000001
- type: precision_at_100
value: 1.027
- type: precision_at_1000
value: 0.129
- type: precision_at_3
value: 16.405
- type: precision_at_5
value: 11.549
- type: recall_at_1
value: 27.74
- type: recall_at_10
value: 53.43599999999999
- type: recall_at_100
value: 76.239
- type: recall_at_1000
value: 92.038
- type: recall_at_3
value: 40.625
- type: recall_at_5
value: 46.483000000000004
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 13.71
- type: map_at_10
value: 18.269
- type: map_at_100
value: 19.095000000000002
- type: map_at_1000
value: 19.206
- type: map_at_3
value: 16.667
- type: map_at_5
value: 17.461
- type: mrr_at_1
value: 14.915000000000001
- type: mrr_at_10
value: 19.6
- type: mrr_at_100
value: 20.429
- type: mrr_at_1000
value: 20.527
- type: mrr_at_3
value: 18.041
- type: mrr_at_5
value: 18.826999999999998
- type: ndcg_at_1
value: 14.915000000000001
- type: ndcg_at_10
value: 21.197
- type: ndcg_at_100
value: 25.790999999999997
- type: ndcg_at_1000
value: 29.15
- type: ndcg_at_3
value: 17.947
- type: ndcg_at_5
value: 19.316
- type: precision_at_1
value: 14.915000000000001
- type: precision_at_10
value: 3.277
- type: precision_at_100
value: 0.601
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 7.495
- type: precision_at_5
value: 5.266
- type: recall_at_1
value: 13.71
- type: recall_at_10
value: 29.104999999999997
- type: recall_at_100
value: 51.283
- type: recall_at_1000
value: 77.706
- type: recall_at_3
value: 20.217
- type: recall_at_5
value: 23.465
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 7.8759999999999994
- type: map_at_10
value: 11.171000000000001
- type: map_at_100
value: 12.096
- type: map_at_1000
value: 12.224
- type: map_at_3
value: 10.148
- type: map_at_5
value: 10.529
- type: mrr_at_1
value: 10.199
- type: mrr_at_10
value: 13.789000000000001
- type: mrr_at_100
value: 14.789
- type: mrr_at_1000
value: 14.887
- type: mrr_at_3
value: 12.706999999999999
- type: mrr_at_5
value: 13.142999999999999
- type: ndcg_at_1
value: 10.199
- type: ndcg_at_10
value: 13.602
- type: ndcg_at_100
value: 18.54
- type: ndcg_at_1000
value: 22.141
- type: ndcg_at_3
value: 11.569
- type: ndcg_at_5
value: 12.151
- type: precision_at_1
value: 10.199
- type: precision_at_10
value: 2.488
- type: precision_at_100
value: 0.588
- type: precision_at_1000
value: 0.10300000000000001
- type: precision_at_3
value: 5.473
- type: precision_at_5
value: 3.781
- type: recall_at_1
value: 7.8759999999999994
- type: recall_at_10
value: 18.678
- type: recall_at_100
value: 40.818
- type: recall_at_1000
value: 67.49000000000001
- type: recall_at_3
value: 12.841
- type: recall_at_5
value: 14.366999999999999
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.293
- type: map_at_10
value: 24.626
- type: map_at_100
value: 25.828
- type: map_at_1000
value: 25.964
- type: map_at_3
value: 22.439
- type: map_at_5
value: 23.541
- type: mrr_at_1
value: 22.81
- type: mrr_at_10
value: 29.213
- type: mrr_at_100
value: 30.188
- type: mrr_at_1000
value: 30.258000000000003
- type: mrr_at_3
value: 26.933
- type: mrr_at_5
value: 28.069
- type: ndcg_at_1
value: 22.81
- type: ndcg_at_10
value: 29.107
- type: ndcg_at_100
value: 34.958
- type: ndcg_at_1000
value: 37.968
- type: ndcg_at_3
value: 25.144
- type: ndcg_at_5
value: 26.769
- type: precision_at_1
value: 22.81
- type: precision_at_10
value: 5.351
- type: precision_at_100
value: 0.9939999999999999
- type: precision_at_1000
value: 0.145
- type: precision_at_3
value: 11.741999999999999
- type: precision_at_5
value: 8.431
- type: recall_at_1
value: 18.293
- type: recall_at_10
value: 38.315
- type: recall_at_100
value: 64.16199999999999
- type: recall_at_1000
value: 84.944
- type: recall_at_3
value: 27.006000000000004
- type: recall_at_5
value: 31.284
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 13.896
- type: map_at_10
value: 19.695999999999998
- type: map_at_100
value: 20.813000000000002
- type: map_at_1000
value: 20.953
- type: map_at_3
value: 17.657
- type: map_at_5
value: 18.752
- type: mrr_at_1
value: 17.122999999999998
- type: mrr_at_10
value: 23.345
- type: mrr_at_100
value: 24.294
- type: mrr_at_1000
value: 24.386
- type: mrr_at_3
value: 21.404
- type: mrr_at_5
value: 22.494
- type: ndcg_at_1
value: 17.122999999999998
- type: ndcg_at_10
value: 23.692
- type: ndcg_at_100
value: 29.012
- type: ndcg_at_1000
value: 32.45
- type: ndcg_at_3
value: 20.002
- type: ndcg_at_5
value: 21.62
- type: precision_at_1
value: 17.122999999999998
- type: precision_at_10
value: 4.543
- type: precision_at_100
value: 0.852
- type: precision_at_1000
value: 0.133
- type: precision_at_3
value: 9.589
- type: precision_at_5
value: 7.1
- type: recall_at_1
value: 13.896
- type: recall_at_10
value: 32.176
- type: recall_at_100
value: 55.382
- type: recall_at_1000
value: 79.725
- type: recall_at_3
value: 21.942
- type: recall_at_5
value: 26.068
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 15.481333333333335
- type: map_at_10
value: 21.042999999999996
- type: map_at_100
value: 22.0115
- type: map_at_1000
value: 22.138250000000003
- type: map_at_3
value: 19.255166666666664
- type: map_at_5
value: 20.23483333333333
- type: mrr_at_1
value: 18.692583333333335
- type: mrr_at_10
value: 24.281
- type: mrr_at_100
value: 25.134249999999998
- type: mrr_at_1000
value: 25.218833333333336
- type: mrr_at_3
value: 22.54816666666667
- type: mrr_at_5
value: 23.507916666666667
- type: ndcg_at_1
value: 18.692583333333335
- type: ndcg_at_10
value: 24.682166666666667
- type: ndcg_at_100
value: 29.43166666666666
- type: ndcg_at_1000
value: 32.59633333333334
- type: ndcg_at_3
value: 21.481749999999998
- type: ndcg_at_5
value: 22.93933333333333
- type: precision_at_1
value: 18.692583333333335
- type: precision_at_10
value: 4.370916666666667
- type: precision_at_100
value: 0.8024999999999999
- type: precision_at_1000
value: 0.12566666666666668
- type: precision_at_3
value: 9.923833333333334
- type: precision_at_5
value: 7.110416666666667
- type: recall_at_1
value: 15.481333333333335
- type: recall_at_10
value: 32.433166666666665
- type: recall_at_100
value: 54.03975
- type: recall_at_1000
value: 77.06675
- type: recall_at_3
value: 23.353916666666663
- type: recall_at_5
value: 27.16183333333334
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 12.656999999999998
- type: map_at_10
value: 16.59
- type: map_at_100
value: 17.372
- type: map_at_1000
value: 17.465
- type: map_at_3
value: 15.075
- type: map_at_5
value: 16.016
- type: mrr_at_1
value: 14.877
- type: mrr_at_10
value: 18.726000000000003
- type: mrr_at_100
value: 19.488
- type: mrr_at_1000
value: 19.569
- type: mrr_at_3
value: 17.127
- type: mrr_at_5
value: 18.108
- type: ndcg_at_1
value: 14.877
- type: ndcg_at_10
value: 19.326
- type: ndcg_at_100
value: 23.426
- type: ndcg_at_1000
value: 26.168999999999997
- type: ndcg_at_3
value: 16.445
- type: ndcg_at_5
value: 18.037
- type: precision_at_1
value: 14.877
- type: precision_at_10
value: 3.206
- type: precision_at_100
value: 0.5740000000000001
- type: precision_at_1000
value: 0.08800000000000001
- type: precision_at_3
value: 7.26
- type: precision_at_5
value: 5.367999999999999
- type: recall_at_1
value: 12.656999999999998
- type: recall_at_10
value: 25.723000000000003
- type: recall_at_100
value: 44.9
- type: recall_at_1000
value: 65.923
- type: recall_at_3
value: 17.854
- type: recall_at_5
value: 21.912000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 7.997999999999999
- type: map_at_10
value: 11.765
- type: map_at_100
value: 12.453
- type: map_at_1000
value: 12.575
- type: map_at_3
value: 10.721
- type: map_at_5
value: 11.269
- type: mrr_at_1
value: 9.945
- type: mrr_at_10
value: 14.172
- type: mrr_at_100
value: 14.862
- type: mrr_at_1000
value: 14.965
- type: mrr_at_3
value: 13.048000000000002
- type: mrr_at_5
value: 13.638
- type: ndcg_at_1
value: 9.945
- type: ndcg_at_10
value: 14.238000000000001
- type: ndcg_at_100
value: 18.052
- type: ndcg_at_1000
value: 21.633
- type: ndcg_at_3
value: 12.301
- type: ndcg_at_5
value: 13.113
- type: precision_at_1
value: 9.945
- type: precision_at_10
value: 2.636
- type: precision_at_100
value: 0.543
- type: precision_at_1000
value: 0.101
- type: precision_at_3
value: 5.9990000000000006
- type: precision_at_5
value: 4.253
- type: recall_at_1
value: 7.997999999999999
- type: recall_at_10
value: 19.363
- type: recall_at_100
value: 37.203
- type: recall_at_1000
value: 63.9
- type: recall_at_3
value: 13.755999999999998
- type: recall_at_5
value: 15.966
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 14.132
- type: map_at_10
value: 19.032
- type: map_at_100
value: 19.942
- type: map_at_1000
value: 20.061999999999998
- type: map_at_3
value: 17.498
- type: map_at_5
value: 18.352
- type: mrr_at_1
value: 16.698
- type: mrr_at_10
value: 21.898
- type: mrr_at_100
value: 22.775000000000002
- type: mrr_at_1000
value: 22.869999999999997
- type: mrr_at_3
value: 20.196
- type: mrr_at_5
value: 21.143
- type: ndcg_at_1
value: 16.698
- type: ndcg_at_10
value: 22.303
- type: ndcg_at_100
value: 26.889000000000003
- type: ndcg_at_1000
value: 30.249
- type: ndcg_at_3
value: 19.28
- type: ndcg_at_5
value: 20.694000000000003
- type: precision_at_1
value: 16.698
- type: precision_at_10
value: 3.7409999999999997
- type: precision_at_100
value: 0.6649999999999999
- type: precision_at_1000
value: 0.107
- type: precision_at_3
value: 8.706
- type: precision_at_5
value: 6.119
- type: recall_at_1
value: 14.132
- type: recall_at_10
value: 29.572
- type: recall_at_100
value: 50.346999999999994
- type: recall_at_1000
value: 75.214
- type: recall_at_3
value: 21.197
- type: recall_at_5
value: 24.887999999999998
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 16.474
- type: map_at_10
value: 22.362000000000002
- type: map_at_100
value: 23.533
- type: map_at_1000
value: 23.733999999999998
- type: map_at_3
value: 20.529
- type: map_at_5
value: 21.543
- type: mrr_at_1
value: 20.158
- type: mrr_at_10
value: 26.069
- type: mrr_at_100
value: 26.962999999999997
- type: mrr_at_1000
value: 27.049
- type: mrr_at_3
value: 24.44
- type: mrr_at_5
value: 25.3
- type: ndcg_at_1
value: 20.158
- type: ndcg_at_10
value: 26.447
- type: ndcg_at_100
value: 31.405
- type: ndcg_at_1000
value: 34.969
- type: ndcg_at_3
value: 23.639
- type: ndcg_at_5
value: 24.852
- type: precision_at_1
value: 20.158
- type: precision_at_10
value: 5.099
- type: precision_at_100
value: 1.113
- type: precision_at_1000
value: 0.196
- type: precision_at_3
value: 11.397
- type: precision_at_5
value: 8.182
- type: recall_at_1
value: 16.474
- type: recall_at_10
value: 33.812
- type: recall_at_100
value: 56.725
- type: recall_at_1000
value: 81.151
- type: recall_at_3
value: 25.043
- type: recall_at_5
value: 28.564
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 12.027000000000001
- type: map_at_10
value: 16.41
- type: map_at_100
value: 17.221
- type: map_at_1000
value: 17.328
- type: map_at_3
value: 15.123000000000001
- type: map_at_5
value: 15.795
- type: mrr_at_1
value: 13.863
- type: mrr_at_10
value: 18.218999999999998
- type: mrr_at_100
value: 19.021
- type: mrr_at_1000
value: 19.118
- type: mrr_at_3
value: 16.882
- type: mrr_at_5
value: 17.585
- type: ndcg_at_1
value: 13.863
- type: ndcg_at_10
value: 19.201999999999998
- type: ndcg_at_100
value: 23.669
- type: ndcg_at_1000
value: 26.951000000000004
- type: ndcg_at_3
value: 16.500999999999998
- type: ndcg_at_5
value: 17.686
- type: precision_at_1
value: 13.863
- type: precision_at_10
value: 3.031
- type: precision_at_100
value: 0.567
- type: precision_at_1000
value: 0.094
- type: precision_at_3
value: 7.086
- type: precision_at_5
value: 4.917
- type: recall_at_1
value: 12.027000000000001
- type: recall_at_10
value: 26.272000000000002
- type: recall_at_100
value: 47.818
- type: recall_at_1000
value: 73.33
- type: recall_at_3
value: 18.743000000000002
- type: recall_at_5
value: 21.701
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 6.357
- type: map_at_10
value: 11.350999999999999
- type: map_at_100
value: 12.774
- type: map_at_1000
value: 12.962000000000002
- type: map_at_3
value: 9.142
- type: map_at_5
value: 10.219000000000001
- type: mrr_at_1
value: 14.593
- type: mrr_at_10
value: 23.003
- type: mrr_at_100
value: 24.15
- type: mrr_at_1000
value: 24.215999999999998
- type: mrr_at_3
value: 19.924
- type: mrr_at_5
value: 21.628
- type: ndcg_at_1
value: 14.593
- type: ndcg_at_10
value: 17.06
- type: ndcg_at_100
value: 23.674
- type: ndcg_at_1000
value: 27.57
- type: ndcg_at_3
value: 12.903
- type: ndcg_at_5
value: 14.399000000000001
- type: precision_at_1
value: 14.593
- type: precision_at_10
value: 5.6739999999999995
- type: precision_at_100
value: 1.279
- type: precision_at_1000
value: 0.198
- type: precision_at_3
value: 9.794
- type: precision_at_5
value: 7.961
- type: recall_at_1
value: 6.357
- type: recall_at_10
value: 21.837
- type: recall_at_100
value: 45.317
- type: recall_at_1000
value: 67.868
- type: recall_at_3
value: 11.959999999999999
- type: recall_at_5
value: 15.744
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 3.972
- type: map_at_10
value: 9.464
- type: map_at_100
value: 13.014999999999999
- type: map_at_1000
value: 13.956
- type: map_at_3
value: 6.796
- type: map_at_5
value: 7.896
- type: mrr_at_1
value: 40
- type: mrr_at_10
value: 49.381
- type: mrr_at_100
value: 50.156
- type: mrr_at_1000
value: 50.17700000000001
- type: mrr_at_3
value: 46.208
- type: mrr_at_5
value: 47.958
- type: ndcg_at_1
value: 29.5
- type: ndcg_at_10
value: 23.438
- type: ndcg_at_100
value: 26.128
- type: ndcg_at_1000
value: 32.922000000000004
- type: ndcg_at_3
value: 26.436999999999998
- type: ndcg_at_5
value: 24.63
- type: precision_at_1
value: 40
- type: precision_at_10
value: 20.724999999999998
- type: precision_at_100
value: 6.353000000000001
- type: precision_at_1000
value: 1.329
- type: precision_at_3
value: 31.5
- type: precision_at_5
value: 26.400000000000002
- type: recall_at_1
value: 3.972
- type: recall_at_10
value: 14.173
- type: recall_at_100
value: 32.249
- type: recall_at_1000
value: 54.991
- type: recall_at_3
value: 8.177
- type: recall_at_5
value: 10.415000000000001
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 44.775
- type: f1
value: 40.9777201408297
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 15.373000000000001
- type: map_at_10
value: 23.247999999999998
- type: map_at_100
value: 24.16
- type: map_at_1000
value: 24.233
- type: map_at_3
value: 20.718
- type: map_at_5
value: 22.117
- type: mrr_at_1
value: 16.381999999999998
- type: mrr_at_10
value: 24.654999999999998
- type: mrr_at_100
value: 25.56
- type: mrr_at_1000
value: 25.625999999999998
- type: mrr_at_3
value: 21.987000000000002
- type: mrr_at_5
value: 23.466
- type: ndcg_at_1
value: 16.381999999999998
- type: ndcg_at_10
value: 28.083000000000002
- type: ndcg_at_100
value: 32.939
- type: ndcg_at_1000
value: 35.025
- type: ndcg_at_3
value: 22.830000000000002
- type: ndcg_at_5
value: 25.351000000000003
- type: precision_at_1
value: 16.381999999999998
- type: precision_at_10
value: 4.5600000000000005
- type: precision_at_100
value: 0.722
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 9.921000000000001
- type: precision_at_5
value: 7.276000000000001
- type: recall_at_1
value: 15.373000000000001
- type: recall_at_10
value: 41.942
- type: recall_at_100
value: 65.051
- type: recall_at_1000
value: 81.208
- type: recall_at_3
value: 27.639999999999997
- type: recall_at_5
value: 33.708
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 6.894
- type: map_at_10
value: 11.912
- type: map_at_100
value: 13.096
- type: map_at_1000
value: 13.29
- type: map_at_3
value: 9.82
- type: map_at_5
value: 10.999
- type: mrr_at_1
value: 14.352
- type: mrr_at_10
value: 20.811
- type: mrr_at_100
value: 21.908
- type: mrr_at_1000
value: 22.001
- type: mrr_at_3
value: 18.441
- type: mrr_at_5
value: 19.961000000000002
- type: ndcg_at_1
value: 14.352
- type: ndcg_at_10
value: 16.636
- type: ndcg_at_100
value: 22.419
- type: ndcg_at_1000
value: 26.771
- type: ndcg_at_3
value: 13.436
- type: ndcg_at_5
value: 14.908
- type: precision_at_1
value: 14.352
- type: precision_at_10
value: 4.938
- type: precision_at_100
value: 1.076
- type: precision_at_1000
value: 0.18
- type: precision_at_3
value: 9.156
- type: precision_at_5
value: 7.407
- type: recall_at_1
value: 6.894
- type: recall_at_10
value: 21.672
- type: recall_at_100
value: 44.193
- type: recall_at_1000
value: 71.604
- type: recall_at_3
value: 12.498
- type: recall_at_5
value: 16.704
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 18.555
- type: map_at_10
value: 25.963
- type: map_at_100
value: 26.932000000000002
- type: map_at_1000
value: 27.044
- type: map_at_3
value: 23.916
- type: map_at_5
value: 25.112000000000002
- type: mrr_at_1
value: 37.11
- type: mrr_at_10
value: 44.175
- type: mrr_at_100
value: 44.926
- type: mrr_at_1000
value: 44.978
- type: mrr_at_3
value: 42.254999999999995
- type: mrr_at_5
value: 43.427
- type: ndcg_at_1
value: 37.11
- type: ndcg_at_10
value: 32.991
- type: ndcg_at_100
value: 37.335
- type: ndcg_at_1000
value: 40.007
- type: ndcg_at_3
value: 29.206
- type: ndcg_at_5
value: 31.173000000000002
- type: precision_at_1
value: 37.11
- type: precision_at_10
value: 7.207
- type: precision_at_100
value: 1.065
- type: precision_at_1000
value: 0.14200000000000002
- type: precision_at_3
value: 18.375
- type: precision_at_5
value: 12.581000000000001
- type: recall_at_1
value: 18.555
- type: recall_at_10
value: 36.036
- type: recall_at_100
value: 53.248
- type: recall_at_1000
value: 71.128
- type: recall_at_3
value: 27.561999999999998
- type: recall_at_5
value: 31.452
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 67.5052
- type: ap
value: 62.39030828629721
- type: f1
value: 67.18333662684846
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 7.042
- type: map_at_10
value: 11.837
- type: map_at_100
value: 12.756
- type: map_at_1000
value: 12.863
- type: map_at_3
value: 10.131
- type: map_at_5
value: 11.05
- type: mrr_at_1
value: 7.2059999999999995
- type: mrr_at_10
value: 12.117
- type: mrr_at_100
value: 13.038
- type: mrr_at_1000
value: 13.141
- type: mrr_at_3
value: 10.392
- type: mrr_at_5
value: 11.323
- type: ndcg_at_1
value: 7.178
- type: ndcg_at_10
value: 14.806
- type: ndcg_at_100
value: 19.81
- type: ndcg_at_1000
value: 23.003999999999998
- type: ndcg_at_3
value: 11.236
- type: ndcg_at_5
value: 12.901000000000002
- type: precision_at_1
value: 7.178
- type: precision_at_10
value: 2.506
- type: precision_at_100
value: 0.51
- type: precision_at_1000
value: 0.079
- type: precision_at_3
value: 4.89
- type: precision_at_5
value: 3.782
- type: recall_at_1
value: 7.042
- type: recall_at_10
value: 24.037
- type: recall_at_100
value: 48.415
- type: recall_at_1000
value: 74.039
- type: recall_at_3
value: 14.194999999999999
- type: recall_at_5
value: 18.209
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 91.73050615595074
- type: f1
value: 91.31113807339747
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 65.65435476516187
- type: f1
value: 45.186713172025684
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 65.97175521183591
- type: f1
value: 63.30094106953352
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 72.81775386684599
- type: f1
value: 71.5535406261331
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 28.530997915529994
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 25.711540056372872
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 30.199045062705064
- type: mrr
value: 31.1642426854302
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 3.9730000000000003
- type: map_at_10
value: 8.282
- type: map_at_100
value: 10.331
- type: map_at_1000
value: 11.613
- type: map_at_3
value: 6.106
- type: map_at_5
value: 7.258000000000001
- type: mrr_at_1
value: 35.604
- type: mrr_at_10
value: 44.241
- type: mrr_at_100
value: 45.023
- type: mrr_at_1000
value: 45.079
- type: mrr_at_3
value: 42.002
- type: mrr_at_5
value: 43.751
- type: ndcg_at_1
value: 32.663
- type: ndcg_at_10
value: 25.419999999999998
- type: ndcg_at_100
value: 23.454
- type: ndcg_at_1000
value: 32.726
- type: ndcg_at_3
value: 28.892
- type: ndcg_at_5
value: 27.982000000000003
- type: precision_at_1
value: 35.604
- type: precision_at_10
value: 18.7
- type: precision_at_100
value: 6.353000000000001
- type: precision_at_1000
value: 1.9429999999999998
- type: precision_at_3
value: 27.554000000000002
- type: precision_at_5
value: 24.396
- type: recall_at_1
value: 3.9730000000000003
- type: recall_at_10
value: 12.606
- type: recall_at_100
value: 24.915000000000003
- type: recall_at_1000
value: 57.75900000000001
- type: recall_at_3
value: 7.207
- type: recall_at_5
value: 10.017
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 9.543
- type: map_at_10
value: 16.445999999999998
- type: map_at_100
value: 17.682000000000002
- type: map_at_1000
value: 17.78
- type: map_at_3
value: 13.895
- type: map_at_5
value: 15.282000000000002
- type: mrr_at_1
value: 10.863
- type: mrr_at_10
value: 18.137
- type: mrr_at_100
value: 19.291
- type: mrr_at_1000
value: 19.371
- type: mrr_at_3
value: 15.556000000000001
- type: mrr_at_5
value: 16.98
- type: ndcg_at_1
value: 10.834000000000001
- type: ndcg_at_10
value: 20.96
- type: ndcg_at_100
value: 27.336
- type: ndcg_at_1000
value: 30.001
- type: ndcg_at_3
value: 15.719
- type: ndcg_at_5
value: 18.212999999999997
- type: precision_at_1
value: 10.834000000000001
- type: precision_at_10
value: 3.911
- type: precision_at_100
value: 0.756
- type: precision_at_1000
value: 0.101
- type: precision_at_3
value: 7.455
- type: precision_at_5
value: 5.846
- type: recall_at_1
value: 9.543
- type: recall_at_10
value: 33.35
- type: recall_at_100
value: 63.141999999999996
- type: recall_at_1000
value: 83.57
- type: recall_at_3
value: 19.38
- type: recall_at_5
value: 25.266
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 63.660000000000004
- type: map_at_10
value: 76.48
- type: map_at_100
value: 77.24
- type: map_at_1000
value: 77.275
- type: map_at_3
value: 73.52199999999999
- type: map_at_5
value: 75.323
- type: mrr_at_1
value: 73.3
- type: mrr_at_10
value: 80.741
- type: mrr_at_100
value: 80.975
- type: mrr_at_1000
value: 80.979
- type: mrr_at_3
value: 79.282
- type: mrr_at_5
value: 80.24900000000001
- type: ndcg_at_1
value: 73.32
- type: ndcg_at_10
value: 81.172
- type: ndcg_at_100
value: 83.22800000000001
- type: ndcg_at_1000
value: 83.576
- type: ndcg_at_3
value: 77.586
- type: ndcg_at_5
value: 79.46600000000001
- type: precision_at_1
value: 73.32
- type: precision_at_10
value: 12.246
- type: precision_at_100
value: 1.459
- type: precision_at_1000
value: 0.155
- type: precision_at_3
value: 33.607
- type: precision_at_5
value: 22.214
- type: recall_at_1
value: 63.660000000000004
- type: recall_at_10
value: 90.147
- type: recall_at_100
value: 97.882
- type: recall_at_1000
value: 99.705
- type: recall_at_3
value: 79.948
- type: recall_at_5
value: 85.15
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 37.24530383149719
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 47.10522668186171
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.003
- type: map_at_10
value: 7.0169999999999995
- type: map_at_100
value: 8.436
- type: map_at_1000
value: 8.693
- type: map_at_3
value: 5.143
- type: map_at_5
value: 6.165
- type: mrr_at_1
value: 14.7
- type: mrr_at_10
value: 22.664
- type: mrr_at_100
value: 23.880000000000003
- type: mrr_at_1000
value: 23.964
- type: mrr_at_3
value: 19.650000000000002
- type: mrr_at_5
value: 21.295
- type: ndcg_at_1
value: 14.7
- type: ndcg_at_10
value: 12.509999999999998
- type: ndcg_at_100
value: 18.848000000000003
- type: ndcg_at_1000
value: 23.97
- type: ndcg_at_3
value: 11.673
- type: ndcg_at_5
value: 10.397
- type: precision_at_1
value: 14.7
- type: precision_at_10
value: 6.49
- type: precision_at_100
value: 1.562
- type: precision_at_1000
value: 0.27899999999999997
- type: precision_at_3
value: 10.767
- type: precision_at_5
value: 9.139999999999999
- type: recall_at_1
value: 3.003
- type: recall_at_10
value: 13.161999999999999
- type: recall_at_100
value: 31.747999999999998
- type: recall_at_1000
value: 56.752
- type: recall_at_3
value: 6.563
- type: recall_at_5
value: 9.263
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 76.5160077089625
- type: cos_sim_spearman
value: 67.28825297023138
- type: euclidean_pearson
value: 72.39938443269206
- type: euclidean_spearman
value: 67.28835245540397
- type: manhattan_pearson
value: 69.46413862678756
- type: manhattan_spearman
value: 65.04853993701172
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 70.89271048242642
- type: cos_sim_spearman
value: 66.18310956468201
- type: euclidean_pearson
value: 68.35445603238207
- type: euclidean_spearman
value: 66.18456540329906
- type: manhattan_pearson
value: 67.8411114817822
- type: manhattan_spearman
value: 66.416716585612
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 78.2216356861313
- type: cos_sim_spearman
value: 79.37038668590753
- type: euclidean_pearson
value: 79.01512518225226
- type: euclidean_spearman
value: 79.37042448746669
- type: manhattan_pearson
value: 78.96268955680836
- type: manhattan_spearman
value: 79.54073298193023
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 78.3544215128133
- type: cos_sim_spearman
value: 75.07229525913817
- type: euclidean_pearson
value: 77.35598390483041
- type: euclidean_spearman
value: 75.07228556747974
- type: manhattan_pearson
value: 76.27348311336605
- type: manhattan_spearman
value: 74.50258040498937
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 80.86410111924121
- type: cos_sim_spearman
value: 81.79657437718866
- type: euclidean_pearson
value: 81.77144036632458
- type: euclidean_spearman
value: 81.79657286849607
- type: manhattan_pearson
value: 81.87491956950679
- type: manhattan_spearman
value: 82.16993847726854
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 76.43507688364112
- type: cos_sim_spearman
value: 77.63882301316933
- type: euclidean_pearson
value: 77.25501398026381
- type: euclidean_spearman
value: 77.63965196736244
- type: manhattan_pearson
value: 77.67118978923139
- type: manhattan_spearman
value: 78.01084214592416
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 84.39964672680482
- type: cos_sim_spearman
value: 85.4075592513342
- type: euclidean_pearson
value: 85.111606756296
- type: euclidean_spearman
value: 85.40843260765956
- type: manhattan_pearson
value: 84.8842901249278
- type: manhattan_spearman
value: 85.63868618596224
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 62.75456403534724
- type: cos_sim_spearman
value: 60.22663871632273
- type: euclidean_pearson
value: 62.65086137572171
- type: euclidean_spearman
value: 60.22663871632273
- type: manhattan_pearson
value: 62.250953520717104
- type: manhattan_spearman
value: 60.3533574497436
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 77.7231724327084
- type: cos_sim_spearman
value: 76.94587277885458
- type: euclidean_pearson
value: 78.13987744447253
- type: euclidean_spearman
value: 76.94589124562322
- type: manhattan_pearson
value: 77.01673792666305
- type: manhattan_spearman
value: 75.80700280973542
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 72.367197197921
- type: mrr
value: 91.09422258932064
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 37.583
- type: map_at_10
value: 45.412
- type: map_at_100
value: 46.504
- type: map_at_1000
value: 46.558
- type: map_at_3
value: 42.552
- type: map_at_5
value: 44.635000000000005
- type: mrr_at_1
value: 40
- type: mrr_at_10
value: 47.33
- type: mrr_at_100
value: 48.285
- type: mrr_at_1000
value: 48.329
- type: mrr_at_3
value: 44.944
- type: mrr_at_5
value: 46.711000000000006
- type: ndcg_at_1
value: 40
- type: ndcg_at_10
value: 49.818
- type: ndcg_at_100
value: 55.226
- type: ndcg_at_1000
value: 56.599999999999994
- type: ndcg_at_3
value: 44.659
- type: ndcg_at_5
value: 48.107
- type: precision_at_1
value: 40
- type: precision_at_10
value: 6.833
- type: precision_at_100
value: 0.98
- type: precision_at_1000
value: 0.11
- type: precision_at_3
value: 17.444000000000003
- type: precision_at_5
value: 12.333
- type: recall_at_1
value: 37.583
- type: recall_at_10
value: 61.622
- type: recall_at_100
value: 87.1
- type: recall_at_1000
value: 97.8
- type: recall_at_3
value: 47.983
- type: recall_at_5
value: 56.65
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.70990099009902
- type: cos_sim_ap
value: 91.32913696282823
- type: cos_sim_f1
value: 85.01006036217304
- type: cos_sim_precision
value: 85.52631578947368
- type: cos_sim_recall
value: 84.5
- type: dot_accuracy
value: 99.70990099009902
- type: dot_ap
value: 91.32913696282823
- type: dot_f1
value: 85.01006036217304
- type: dot_precision
value: 85.52631578947368
- type: dot_recall
value: 84.5
- type: euclidean_accuracy
value: 99.70990099009902
- type: euclidean_ap
value: 91.32913696282823
- type: euclidean_f1
value: 85.01006036217304
- type: euclidean_precision
value: 85.52631578947368
- type: euclidean_recall
value: 84.5
- type: manhattan_accuracy
value: 99.76138613861386
- type: manhattan_ap
value: 93.79556639749748
- type: manhattan_f1
value: 87.80246913580247
- type: manhattan_precision
value: 86.73170731707317
- type: manhattan_recall
value: 88.9
- type: max_accuracy
value: 99.76138613861386
- type: max_ap
value: 93.79556639749748
- type: max_f1
value: 87.80246913580247
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 43.31369355223715
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 29.601772320922777
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 45.58773371195953
- type: mrr
value: 46.30187112723877
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.0154193888818
- type: cos_sim_spearman
value: 30.147164982667924
- type: dot_pearson
value: 30.015419367262712
- type: dot_spearman
value: 30.1547894792066
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.125
- type: map_at_10
value: 0.683
- type: map_at_100
value: 3.88
- type: map_at_1000
value: 10.776
- type: map_at_3
value: 0.28200000000000003
- type: map_at_5
value: 0.416
- type: mrr_at_1
value: 56.00000000000001
- type: mrr_at_10
value: 67.144
- type: mrr_at_100
value: 67.674
- type: mrr_at_1000
value: 67.674
- type: mrr_at_3
value: 63.333
- type: mrr_at_5
value: 66.033
- type: ndcg_at_1
value: 48
- type: ndcg_at_10
value: 40.453
- type: ndcg_at_100
value: 32.356
- type: ndcg_at_1000
value: 30.54
- type: ndcg_at_3
value: 45.531
- type: ndcg_at_5
value: 43.791999999999994
- type: precision_at_1
value: 54
- type: precision_at_10
value: 43.2
- type: precision_at_100
value: 34.12
- type: precision_at_1000
value: 15.192
- type: precision_at_3
value: 48.667
- type: precision_at_5
value: 47.199999999999996
- type: recall_at_1
value: 0.125
- type: recall_at_10
value: 0.9490000000000001
- type: recall_at_100
value: 7.066
- type: recall_at_1000
value: 29.948000000000004
- type: recall_at_3
value: 0.313
- type: recall_at_5
value: 0.526
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 1.494
- type: map_at_10
value: 8.271
- type: map_at_100
value: 13.59
- type: map_at_1000
value: 15.18
- type: map_at_3
value: 4.232
- type: map_at_5
value: 5.656
- type: mrr_at_1
value: 26.531
- type: mrr_at_10
value: 42.504999999999995
- type: mrr_at_100
value: 43.318
- type: mrr_at_1000
value: 43.318
- type: mrr_at_3
value: 39.456
- type: mrr_at_5
value: 39.966
- type: ndcg_at_1
value: 24.490000000000002
- type: ndcg_at_10
value: 22.358
- type: ndcg_at_100
value: 33.625
- type: ndcg_at_1000
value: 45.211
- type: ndcg_at_3
value: 26.345000000000002
- type: ndcg_at_5
value: 22.743
- type: precision_at_1
value: 26.531
- type: precision_at_10
value: 20.612
- type: precision_at_100
value: 7.5920000000000005
- type: precision_at_1000
value: 1.494
- type: precision_at_3
value: 28.571
- type: precision_at_5
value: 22.857
- type: recall_at_1
value: 1.494
- type: recall_at_10
value: 14.657
- type: recall_at_100
value: 45.273
- type: recall_at_1000
value: 80.66
- type: recall_at_3
value: 5.904
- type: recall_at_5
value: 8.053
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 68.7092
- type: ap
value: 13.166630913914243
- type: f1
value: 52.79567185490722
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 54.9660441426146
- type: f1
value: 55.17567905972333
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 37.58792693202503
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.88269654884664
- type: cos_sim_ap
value: 66.09276985843528
- type: cos_sim_f1
value: 63.225649744959924
- type: cos_sim_precision
value: 58.573357335733576
- type: cos_sim_recall
value: 68.68073878627968
- type: dot_accuracy
value: 83.88269654884664
- type: dot_ap
value: 66.09276747019544
- type: dot_f1
value: 63.225649744959924
- type: dot_precision
value: 58.573357335733576
- type: dot_recall
value: 68.68073878627968
- type: euclidean_accuracy
value: 83.88269654884664
- type: euclidean_ap
value: 66.09276985843528
- type: euclidean_f1
value: 63.225649744959924
- type: euclidean_precision
value: 58.573357335733576
- type: euclidean_recall
value: 68.68073878627968
- type: manhattan_accuracy
value: 82.69058830541813
- type: manhattan_ap
value: 62.74574997540533
- type: manhattan_f1
value: 59.96326905417815
- type: manhattan_precision
value: 53.06785859406745
- type: manhattan_recall
value: 68.91820580474935
- type: max_accuracy
value: 83.88269654884664
- type: max_ap
value: 66.09276985843528
- type: max_f1
value: 63.225649744959924
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.57519307641557
- type: cos_sim_ap
value: 83.25474211186804
- type: cos_sim_f1
value: 75.56529680365297
- type: cos_sim_precision
value: 71.89129074859248
- type: cos_sim_recall
value: 79.63504773637203
- type: dot_accuracy
value: 87.57519307641557
- type: dot_ap
value: 83.25474240805171
- type: dot_f1
value: 75.56529680365297
- type: dot_precision
value: 71.89129074859248
- type: dot_recall
value: 79.63504773637203
- type: euclidean_accuracy
value: 87.57519307641557
- type: euclidean_ap
value: 83.25474211186805
- type: euclidean_f1
value: 75.56529680365297
- type: euclidean_precision
value: 71.89129074859248
- type: euclidean_recall
value: 79.63504773637203
- type: manhattan_accuracy
value: 87.60041914076145
- type: manhattan_ap
value: 83.11911507311108
- type: manhattan_f1
value: 75.27478546649627
- type: manhattan_precision
value: 71.59130374383552
- type: manhattan_recall
value: 79.35786880197105
- type: max_accuracy
value: 87.60041914076145
- type: max_ap
value: 83.25474240805171
- type: max_f1
value: 75.56529680365297