metadata
tags:
- mteb
model-index:
- name: gte_wordllama_result
results:
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 72.07462686567165
- type: ap
value: 34.03639155919273
- type: f1
value: 65.69832537072352
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 69.453025
- type: ap
value: 63.87884877644433
- type: f1
value: 69.23150048939367
- task:
type: Classification
dataset:
type: None
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 36.364
- type: f1
value: 35.72067919658383
- task:
type: Retrieval
dataset:
type: None
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 22.546
- type: map_at_10
value: 37.411
- type: map_at_100
value: 38.582
- type: map_at_1000
value: 38.597
- type: map_at_3
value: 32.492
- type: map_at_5
value: 35.141
- type: mrr_at_1
value: 23.186
- type: mrr_at_10
value: 37.651
- type: mrr_at_100
value: 38.822
- type: mrr_at_1000
value: 38.836999999999996
- type: mrr_at_3
value: 32.741
- type: mrr_at_5
value: 35.408
- type: ndcg_at_1
value: 22.546
- type: ndcg_at_10
value: 46.012
- type: ndcg_at_100
value: 51.197
- type: ndcg_at_1000
value: 51.547
- type: ndcg_at_3
value: 35.762
- type: ndcg_at_5
value: 40.567
- type: precision_at_1
value: 22.546
- type: precision_at_10
value: 7.367999999999999
- type: precision_at_100
value: 0.968
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 15.078
- type: precision_at_5
value: 11.394
- type: recall_at_1
value: 22.546
- type: recall_at_10
value: 73.68400000000001
- type: recall_at_100
value: 96.799
- type: recall_at_1000
value: 99.431
- type: recall_at_3
value: 45.235
- type: recall_at_5
value: 56.97
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 39.643731613769525
- task:
type: Clustering
dataset:
type: None
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 29.63510872385387
- task:
type: Reranking
dataset:
type: None
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 55.581954717688454
- type: mrr
value: 69.65857626522447
- task:
type: STS
dataset:
type: None
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 79.65184787408168
- type: cos_sim_spearman
value: 76.59391391898701
- type: euclidean_pearson
value: 78.27369147487082
- type: euclidean_spearman
value: 76.59391391898701
- type: manhattan_pearson
value: 78.35436546555296
- type: manhattan_spearman
value: 76.41258448606804
- task:
type: Classification
dataset:
type: None
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 75.67532467532469
- type: f1
value: 74.96407787263568
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 34.80818669258118
- task:
type: Clustering
dataset:
type: None
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 27.110794795227715
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 22.831000000000003
- type: map_at_10
value: 30.358
- type: map_at_100
value: 31.708
- type: map_at_1000
value: 31.857999999999997
- type: map_at_3
value: 27.721
- type: map_at_5
value: 29.054000000000002
- type: mrr_at_1
value: 29.041
- type: mrr_at_10
value: 36.405
- type: mrr_at_100
value: 37.358000000000004
- type: mrr_at_1000
value: 37.419999999999995
- type: mrr_at_3
value: 34.335
- type: mrr_at_5
value: 35.365
- type: ndcg_at_1
value: 29.041
- type: ndcg_at_10
value: 35.673
- type: ndcg_at_100
value: 41.432
- type: ndcg_at_1000
value: 44.372
- type: ndcg_at_3
value: 31.707
- type: ndcg_at_5
value: 33.147999999999996
- type: precision_at_1
value: 29.041
- type: precision_at_10
value: 6.895999999999999
- type: precision_at_100
value: 1.237
- type: precision_at_1000
value: 0.181
- type: precision_at_3
value: 15.212
- type: precision_at_5
value: 10.901
- type: recall_at_1
value: 22.831000000000003
- type: recall_at_10
value: 45.234
- type: recall_at_100
value: 70.658
- type: recall_at_1000
value: 90.70700000000001
- type: recall_at_3
value: 32.729
- type: recall_at_5
value: 37.242
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 18.834
- type: map_at_10
value: 25.796999999999997
- type: map_at_100
value: 26.881
- type: map_at_1000
value: 27.004
- type: map_at_3
value: 23.857999999999997
- type: map_at_5
value: 24.89
- type: mrr_at_1
value: 24.204
- type: mrr_at_10
value: 30.529
- type: mrr_at_100
value: 31.386999999999997
- type: mrr_at_1000
value: 31.456
- type: mrr_at_3
value: 28.715000000000003
- type: mrr_at_5
value: 29.658
- type: ndcg_at_1
value: 24.204
- type: ndcg_at_10
value: 30.053
- type: ndcg_at_100
value: 34.826
- type: ndcg_at_1000
value: 37.557
- type: ndcg_at_3
value: 26.927
- type: ndcg_at_5
value: 28.205999999999996
- type: precision_at_1
value: 24.204
- type: precision_at_10
value: 5.561
- type: precision_at_100
value: 1.011
- type: precision_at_1000
value: 0.152
- type: precision_at_3
value: 12.994
- type: precision_at_5
value: 9.107999999999999
- type: recall_at_1
value: 18.834
- type: recall_at_10
value: 38.022
- type: recall_at_100
value: 58.587
- type: recall_at_1000
value: 76.953
- type: recall_at_3
value: 28.777
- type: recall_at_5
value: 32.372
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 28.138999999999996
- type: map_at_10
value: 37.378
- type: map_at_100
value: 38.576
- type: map_at_1000
value: 38.673
- type: map_at_3
value: 34.733000000000004
- type: map_at_5
value: 36.083999999999996
- type: mrr_at_1
value: 32.414
- type: mrr_at_10
value: 40.589999999999996
- type: mrr_at_100
value: 41.519
- type: mrr_at_1000
value: 41.577999999999996
- type: mrr_at_3
value: 38.213
- type: mrr_at_5
value: 39.428999999999995
- type: ndcg_at_1
value: 32.414
- type: ndcg_at_10
value: 42.501
- type: ndcg_at_100
value: 47.715
- type: ndcg_at_1000
value: 49.899
- type: ndcg_at_3
value: 37.595
- type: ndcg_at_5
value: 39.653
- type: precision_at_1
value: 32.414
- type: precision_at_10
value: 6.978
- type: precision_at_100
value: 1.054
- type: precision_at_1000
value: 0.131
- type: precision_at_3
value: 16.761
- type: precision_at_5
value: 11.498
- type: recall_at_1
value: 28.138999999999996
- type: recall_at_10
value: 54.803999999999995
- type: recall_at_100
value: 77.648
- type: recall_at_1000
value: 93.545
- type: recall_at_3
value: 41.323
- type: recall_at_5
value: 46.489999999999995
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 13.864
- type: map_at_10
value: 18.775
- type: map_at_100
value: 19.706000000000003
- type: map_at_1000
value: 19.822
- type: map_at_3
value: 17.314
- type: map_at_5
value: 18.028
- type: mrr_at_1
value: 14.915000000000001
- type: mrr_at_10
value: 20.095
- type: mrr_at_100
value: 20.992
- type: mrr_at_1000
value: 21.092
- type: mrr_at_3
value: 18.587999999999997
- type: mrr_at_5
value: 19.271
- type: ndcg_at_1
value: 14.915000000000001
- type: ndcg_at_10
value: 21.811
- type: ndcg_at_100
value: 26.656000000000002
- type: ndcg_at_1000
value: 30.009000000000004
- type: ndcg_at_3
value: 18.790000000000003
- type: ndcg_at_5
value: 20.009
- type: precision_at_1
value: 14.915000000000001
- type: precision_at_10
value: 3.401
- type: precision_at_100
value: 0.623
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 8.06
- type: precision_at_5
value: 5.537
- type: recall_at_1
value: 13.864
- type: recall_at_10
value: 29.914
- type: recall_at_100
value: 52.580000000000005
- type: recall_at_1000
value: 78.648
- type: recall_at_3
value: 21.586
- type: recall_at_5
value: 24.58
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 7.223
- type: map_at_10
value: 12.272
- type: map_at_100
value: 13.252
- type: map_at_1000
value: 13.381000000000002
- type: map_at_3
value: 10.610999999999999
- type: map_at_5
value: 11.505
- type: mrr_at_1
value: 9.203999999999999
- type: mrr_at_10
value: 14.639
- type: mrr_at_100
value: 15.629000000000001
- type: mrr_at_1000
value: 15.733
- type: mrr_at_3
value: 12.852
- type: mrr_at_5
value: 13.797999999999998
- type: ndcg_at_1
value: 9.203999999999999
- type: ndcg_at_10
value: 15.543999999999999
- type: ndcg_at_100
value: 20.89
- type: ndcg_at_1000
value: 24.547
- type: ndcg_at_3
value: 12.264
- type: ndcg_at_5
value: 13.748
- type: precision_at_1
value: 9.203999999999999
- type: precision_at_10
value: 3.085
- type: precision_at_100
value: 0.688
- type: precision_at_1000
value: 0.11299999999999999
- type: precision_at_3
value: 6.095
- type: precision_at_5
value: 4.677
- type: recall_at_1
value: 7.223
- type: recall_at_10
value: 23.268
- type: recall_at_100
value: 47.452
- type: recall_at_1000
value: 74.69200000000001
- type: recall_at_3
value: 14.437
- type: recall_at_5
value: 18.007
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 19.661
- type: map_at_10
value: 26.145000000000003
- type: map_at_100
value: 27.477
- type: map_at_1000
value: 27.622999999999998
- type: map_at_3
value: 23.315
- type: map_at_5
value: 24.87
- type: mrr_at_1
value: 24.157999999999998
- type: mrr_at_10
value: 31.035
- type: mrr_at_100
value: 32.011
- type: mrr_at_1000
value: 32.086999999999996
- type: mrr_at_3
value: 28.199999999999996
- type: mrr_at_5
value: 29.769000000000002
- type: ndcg_at_1
value: 24.157999999999998
- type: ndcg_at_10
value: 31.249
- type: ndcg_at_100
value: 37.319
- type: ndcg_at_1000
value: 40.394999999999996
- type: ndcg_at_3
value: 26.184
- type: ndcg_at_5
value: 28.518
- type: precision_at_1
value: 24.157999999999998
- type: precision_at_10
value: 5.9479999999999995
- type: precision_at_100
value: 1.077
- type: precision_at_1000
value: 0.156
- type: precision_at_3
value: 12.191
- type: precision_at_5
value: 9.142999999999999
- type: recall_at_1
value: 19.661
- type: recall_at_10
value: 41.959
- type: recall_at_100
value: 68.22399999999999
- type: recall_at_1000
value: 89.071
- type: recall_at_3
value: 27.617000000000004
- type: recall_at_5
value: 33.693
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 15.714
- type: map_at_10
value: 21.786
- type: map_at_100
value: 23.052
- type: map_at_1000
value: 23.186999999999998
- type: map_at_3
value: 19.286
- type: map_at_5
value: 20.699
- type: mrr_at_1
value: 19.064
- type: mrr_at_10
value: 25.576
- type: mrr_at_100
value: 26.613
- type: mrr_at_1000
value: 26.697
- type: mrr_at_3
value: 23.212
- type: mrr_at_5
value: 24.553
- type: ndcg_at_1
value: 19.064
- type: ndcg_at_10
value: 26.19
- type: ndcg_at_100
value: 32.019
- type: ndcg_at_1000
value: 35.323
- type: ndcg_at_3
value: 21.609
- type: ndcg_at_5
value: 23.747
- type: precision_at_1
value: 19.064
- type: precision_at_10
value: 5.045999999999999
- type: precision_at_100
value: 0.947
- type: precision_at_1000
value: 0.14100000000000001
- type: precision_at_3
value: 10.16
- type: precision_at_5
value: 7.693999999999999
- type: recall_at_1
value: 15.714
- type: recall_at_10
value: 35.846000000000004
- type: recall_at_100
value: 60.885
- type: recall_at_1000
value: 84.437
- type: recall_at_3
value: 23.357
- type: recall_at_5
value: 28.698
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 15.797416666666667
- type: map_at_10
value: 21.674916666666668
- type: map_at_100
value: 22.73633333333333
- type: map_at_1000
value: 22.868583333333333
- type: map_at_3
value: 19.66508333333333
- type: map_at_5
value: 20.75133333333333
- type: mrr_at_1
value: 19.052333333333333
- type: mrr_at_10
value: 24.958083333333335
- type: mrr_at_100
value: 25.862666666666666
- type: mrr_at_1000
value: 25.95
- type: mrr_at_3
value: 23.02525
- type: mrr_at_5
value: 24.053166666666666
- type: ndcg_at_1
value: 19.052333333333333
- type: ndcg_at_10
value: 25.618249999999996
- type: ndcg_at_100
value: 30.751666666666665
- type: ndcg_at_1000
value: 33.93783333333333
- type: ndcg_at_3
value: 21.966166666666666
- type: ndcg_at_5
value: 23.569333333333333
- type: precision_at_1
value: 19.052333333333333
- type: precision_at_10
value: 4.6321666666666665
- type: precision_at_100
value: 0.8673333333333333
- type: precision_at_1000
value: 0.13283333333333333
- type: precision_at_3
value: 10.15075
- type: precision_at_5
value: 7.330416666666667
- type: recall_at_1
value: 15.797416666666667
- type: recall_at_10
value: 34.28000000000001
- type: recall_at_100
value: 57.498416666666664
- type: recall_at_1000
value: 80.52425000000001
- type: recall_at_3
value: 23.929416666666665
- type: recall_at_5
value: 28.09466666666667
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 11.323
- type: map_at_10
value: 17.07
- type: map_at_100
value: 17.849999999999998
- type: map_at_1000
value: 17.957
- type: map_at_3
value: 15.414
- type: map_at_5
value: 16.431
- type: mrr_at_1
value: 13.497
- type: mrr_at_10
value: 19.188
- type: mrr_at_100
value: 19.978
- type: mrr_at_1000
value: 20.071
- type: mrr_at_3
value: 17.663999999999998
- type: mrr_at_5
value: 18.538
- type: ndcg_at_1
value: 13.497
- type: ndcg_at_10
value: 20.485999999999997
- type: ndcg_at_100
value: 24.855
- type: ndcg_at_1000
value: 27.773999999999997
- type: ndcg_at_3
value: 17.399
- type: ndcg_at_5
value: 18.988
- type: precision_at_1
value: 13.497
- type: precision_at_10
value: 3.5740000000000003
- type: precision_at_100
value: 0.63
- type: precision_at_1000
value: 0.096
- type: precision_at_3
value: 8.129
- type: precision_at_5
value: 5.92
- type: recall_at_1
value: 11.323
- type: recall_at_10
value: 28.92
- type: recall_at_100
value: 49.75
- type: recall_at_1000
value: 71.492
- type: recall_at_3
value: 20.452
- type: recall_at_5
value: 24.346
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 8.625
- type: map_at_10
value: 12.41
- type: map_at_100
value: 13.200999999999999
- type: map_at_1000
value: 13.333999999999998
- type: map_at_3
value: 11.141
- type: map_at_5
value: 11.776
- type: mrr_at_1
value: 10.805
- type: mrr_at_10
value: 14.979999999999999
- type: mrr_at_100
value: 15.759
- type: mrr_at_1000
value: 15.867
- type: mrr_at_3
value: 13.569999999999999
- type: mrr_at_5
value: 14.316
- type: ndcg_at_1
value: 10.805
- type: ndcg_at_10
value: 15.129999999999999
- type: ndcg_at_100
value: 19.339000000000002
- type: ndcg_at_1000
value: 23.034
- type: ndcg_at_3
value: 12.661
- type: ndcg_at_5
value: 13.664000000000001
- type: precision_at_1
value: 10.805
- type: precision_at_10
value: 2.88
- type: precision_at_100
value: 0.5950000000000001
- type: precision_at_1000
value: 0.109
- type: precision_at_3
value: 6.091
- type: precision_at_5
value: 4.4319999999999995
- type: recall_at_1
value: 8.625
- type: recall_at_10
value: 20.924
- type: recall_at_100
value: 40.343
- type: recall_at_1000
value: 67.60199999999999
- type: recall_at_3
value: 13.963000000000001
- type: recall_at_5
value: 16.558999999999997
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 15.116999999999999
- type: map_at_10
value: 20.283
- type: map_at_100
value: 21.181
- type: map_at_1000
value: 21.318
- type: map_at_3
value: 18.528
- type: map_at_5
value: 19.506
- type: mrr_at_1
value: 17.91
- type: mrr_at_10
value: 23.399
- type: mrr_at_100
value: 24.254
- type: mrr_at_1000
value: 24.36
- type: mrr_at_3
value: 21.502
- type: mrr_at_5
value: 22.617
- type: ndcg_at_1
value: 17.91
- type: ndcg_at_10
value: 23.848
- type: ndcg_at_100
value: 28.63
- type: ndcg_at_1000
value: 32.236
- type: ndcg_at_3
value: 20.351
- type: ndcg_at_5
value: 21.992
- type: precision_at_1
value: 17.91
- type: precision_at_10
value: 4.011
- type: precision_at_100
value: 0.722
- type: precision_at_1000
value: 0.116
- type: precision_at_3
value: 9.049
- type: precision_at_5
value: 6.455
- type: recall_at_1
value: 15.116999999999999
- type: recall_at_10
value: 31.911
- type: recall_at_100
value: 53.791999999999994
- type: recall_at_1000
value: 79.997
- type: recall_at_3
value: 22.229
- type: recall_at_5
value: 26.366
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 15.415999999999999
- type: map_at_10
value: 21.364
- type: map_at_100
value: 22.631
- type: map_at_1000
value: 22.832
- type: map_at_3
value: 19.139999999999997
- type: map_at_5
value: 20.549
- type: mrr_at_1
value: 19.368
- type: mrr_at_10
value: 25.218
- type: mrr_at_100
value: 26.135
- type: mrr_at_1000
value: 26.218999999999998
- type: mrr_at_3
value: 23.155
- type: mrr_at_5
value: 24.371000000000002
- type: ndcg_at_1
value: 19.368
- type: ndcg_at_10
value: 25.715
- type: ndcg_at_100
value: 31.291999999999998
- type: ndcg_at_1000
value: 34.757
- type: ndcg_at_3
value: 22.131999999999998
- type: ndcg_at_5
value: 24.018
- type: precision_at_1
value: 19.368
- type: precision_at_10
value: 5.138
- type: precision_at_100
value: 1.229
- type: precision_at_1000
value: 0.209
- type: precision_at_3
value: 10.474
- type: precision_at_5
value: 7.904999999999999
- type: recall_at_1
value: 15.415999999999999
- type: recall_at_10
value: 33.83
- type: recall_at_100
value: 60.19799999999999
- type: recall_at_1000
value: 83.88600000000001
- type: recall_at_3
value: 23.018
- type: recall_at_5
value: 28.37
- task:
type: Retrieval
dataset:
type: None
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 12.822
- type: map_at_10
value: 16.461000000000002
- type: map_at_100
value: 17.321
- type: map_at_1000
value: 17.434
- type: map_at_3
value: 14.92
- type: map_at_5
value: 15.623999999999999
- type: mrr_at_1
value: 14.048
- type: mrr_at_10
value: 17.843
- type: mrr_at_100
value: 18.717
- type: mrr_at_1000
value: 18.82
- type: mrr_at_3
value: 16.297
- type: mrr_at_5
value: 16.953
- type: ndcg_at_1
value: 14.048
- type: ndcg_at_10
value: 19.219
- type: ndcg_at_100
value: 24.047
- type: ndcg_at_1000
value: 27.351
- type: ndcg_at_3
value: 15.975
- type: ndcg_at_5
value: 17.141000000000002
- type: precision_at_1
value: 14.048
- type: precision_at_10
value: 3.068
- type: precision_at_100
value: 0.5950000000000001
- type: precision_at_1000
value: 0.095
- type: precision_at_3
value: 6.593
- type: precision_at_5
value: 4.695
- type: recall_at_1
value: 12.822
- type: recall_at_10
value: 26.728
- type: recall_at_100
value: 49.864000000000004
- type: recall_at_1000
value: 75.261
- type: recall_at_3
value: 17.665
- type: recall_at_5
value: 20.413
- task:
type: Retrieval
dataset:
type: None
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 8.301
- type: map_at_10
value: 14.709
- type: map_at_100
value: 16.396
- type: map_at_1000
value: 16.606
- type: map_at_3
value: 11.987
- type: map_at_5
value: 13.401
- type: mrr_at_1
value: 19.088
- type: mrr_at_10
value: 29.421999999999997
- type: mrr_at_100
value: 30.517
- type: mrr_at_1000
value: 30.568
- type: mrr_at_3
value: 25.646
- type: mrr_at_5
value: 27.897
- type: ndcg_at_1
value: 19.088
- type: ndcg_at_10
value: 21.851000000000003
- type: ndcg_at_100
value: 29.093999999999998
- type: ndcg_at_1000
value: 33.101
- type: ndcg_at_3
value: 16.862
- type: ndcg_at_5
value: 18.790000000000003
- type: precision_at_1
value: 19.088
- type: precision_at_10
value: 7.244000000000001
- type: precision_at_100
value: 1.496
- type: precision_at_1000
value: 0.22300000000000003
- type: precision_at_3
value: 12.812000000000001
- type: precision_at_5
value: 10.41
- type: recall_at_1
value: 8.301
- type: recall_at_10
value: 27.49
- type: recall_at_100
value: 52.937999999999995
- type: recall_at_1000
value: 75.79599999999999
- type: recall_at_3
value: 15.603
- type: recall_at_5
value: 20.612
- task:
type: Retrieval
dataset:
type: None
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 5.576
- type: map_at_10
value: 11.394
- type: map_at_100
value: 16.276
- type: map_at_1000
value: 17.459
- type: map_at_3
value: 8.269
- type: map_at_5
value: 9.711
- type: mrr_at_1
value: 47.25
- type: mrr_at_10
value: 57.201
- type: mrr_at_100
value: 57.727
- type: mrr_at_1000
value: 57.751
- type: mrr_at_3
value: 54.458
- type: mrr_at_5
value: 56.421
- type: ndcg_at_1
value: 35.25
- type: ndcg_at_10
value: 26.617
- type: ndcg_at_100
value: 30.952
- type: ndcg_at_1000
value: 38.287
- type: ndcg_at_3
value: 29.814
- type: ndcg_at_5
value: 28.436
- type: precision_at_1
value: 47.25
- type: precision_at_10
value: 23.175
- type: precision_at_100
value: 7.6450000000000005
- type: precision_at_1000
value: 1.624
- type: precision_at_3
value: 35.667
- type: precision_at_5
value: 30.65
- type: recall_at_1
value: 5.576
- type: recall_at_10
value: 15.804000000000002
- type: recall_at_100
value: 38.086
- type: recall_at_1000
value: 63.034
- type: recall_at_3
value: 9.407
- type: recall_at_5
value: 12.247
- task:
type: Classification
dataset:
type: None
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 47.21
- type: f1
value: 43.021356364911156
- task:
type: Retrieval
dataset:
type: None
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 17.775
- type: map_at_10
value: 27.131
- type: map_at_100
value: 28.186
- type: map_at_1000
value: 28.255999999999997
- type: map_at_3
value: 24.198
- type: map_at_5
value: 25.907000000000004
- type: mrr_at_1
value: 19.006999999999998
- type: mrr_at_10
value: 28.769
- type: mrr_at_100
value: 29.809
- type: mrr_at_1000
value: 29.866
- type: mrr_at_3
value: 25.773000000000003
- type: mrr_at_5
value: 27.51
- type: ndcg_at_1
value: 19.006999999999998
- type: ndcg_at_10
value: 32.698
- type: ndcg_at_100
value: 37.891999999999996
- type: ndcg_at_1000
value: 39.728
- type: ndcg_at_3
value: 26.680999999999997
- type: ndcg_at_5
value: 29.73
- type: precision_at_1
value: 19.006999999999998
- type: precision_at_10
value: 5.2909999999999995
- type: precision_at_100
value: 0.8049999999999999
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 11.616
- type: precision_at_5
value: 8.554
- type: recall_at_1
value: 17.775
- type: recall_at_10
value: 48.603
- type: recall_at_100
value: 72.465
- type: recall_at_1000
value: 86.509
- type: recall_at_3
value: 32.26
- type: recall_at_5
value: 39.589999999999996
- task:
type: Retrieval
dataset:
type: None
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 8.584
- type: map_at_10
value: 13.774000000000001
- type: map_at_100
value: 15.247
- type: map_at_1000
value: 15.468000000000002
- type: map_at_3
value: 11.779
- type: map_at_5
value: 12.732
- type: mrr_at_1
value: 16.512
- type: mrr_at_10
value: 23.016000000000002
- type: mrr_at_100
value: 24.276
- type: mrr_at_1000
value: 24.362000000000002
- type: mrr_at_3
value: 20.756
- type: mrr_at_5
value: 21.852
- type: ndcg_at_1
value: 16.512
- type: ndcg_at_10
value: 18.604000000000003
- type: ndcg_at_100
value: 25.298
- type: ndcg_at_1000
value: 29.803
- type: ndcg_at_3
value: 15.790000000000001
- type: ndcg_at_5
value: 16.614
- type: precision_at_1
value: 16.512
- type: precision_at_10
value: 5.293
- type: precision_at_100
value: 1.17
- type: precision_at_1000
value: 0.196
- type: precision_at_3
value: 10.237
- type: precision_at_5
value: 7.7780000000000005
- type: recall_at_1
value: 8.584
- type: recall_at_10
value: 23.685000000000002
- type: recall_at_100
value: 49.461
- type: recall_at_1000
value: 76.972
- type: recall_at_3
value: 14.657
- type: recall_at_5
value: 17.861
- task:
type: Retrieval
dataset:
type: None
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 19.662
- type: map_at_10
value: 28.195999999999998
- type: map_at_100
value: 29.21
- type: map_at_1000
value: 29.322
- type: map_at_3
value: 25.852999999999998
- type: map_at_5
value: 27.121000000000002
- type: mrr_at_1
value: 39.324999999999996
- type: mrr_at_10
value: 47.083999999999996
- type: mrr_at_100
value: 47.805
- type: mrr_at_1000
value: 47.853
- type: mrr_at_3
value: 44.913
- type: mrr_at_5
value: 46.132
- type: ndcg_at_1
value: 39.324999999999996
- type: ndcg_at_10
value: 35.766999999999996
- type: ndcg_at_100
value: 40.306
- type: ndcg_at_1000
value: 42.870000000000005
- type: ndcg_at_3
value: 31.395
- type: ndcg_at_5
value: 33.469
- type: precision_at_1
value: 39.324999999999996
- type: precision_at_10
value: 7.933999999999999
- type: precision_at_100
value: 1.157
- type: precision_at_1000
value: 0.15
- type: precision_at_3
value: 19.855999999999998
- type: precision_at_5
value: 13.556000000000001
- type: recall_at_1
value: 19.662
- type: recall_at_10
value: 39.669
- type: recall_at_100
value: 57.833
- type: recall_at_1000
value: 74.929
- type: recall_at_3
value: 29.784
- type: recall_at_5
value: 33.889
- task:
type: Classification
dataset:
type: None
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 68.03079999999999
- type: ap
value: 62.45465282637356
- type: f1
value: 67.82133366706746
- task:
type: Retrieval
dataset:
type: None
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 7.297
- type: map_at_10
value: 12.847
- type: map_at_100
value: 13.872000000000002
- type: map_at_1000
value: 13.987
- type: map_at_3
value: 10.741
- type: map_at_5
value: 11.838999999999999
- type: mrr_at_1
value: 7.536
- type: mrr_at_10
value: 13.157
- type: mrr_at_100
value: 14.184
- type: mrr_at_1000
value: 14.295
- type: mrr_at_3
value: 11.020000000000001
- type: mrr_at_5
value: 12.133
- type: ndcg_at_1
value: 7.507
- type: ndcg_at_10
value: 16.374
- type: ndcg_at_100
value: 22.039
- type: ndcg_at_1000
value: 25.380999999999997
- type: ndcg_at_3
value: 11.935
- type: ndcg_at_5
value: 13.919999999999998
- type: precision_at_1
value: 7.507
- type: precision_at_10
value: 2.8449999999999998
- type: precision_at_100
value: 0.581
- type: precision_at_1000
value: 0.087
- type: precision_at_3
value: 5.191
- type: precision_at_5
value: 4.112
- type: recall_at_1
value: 7.297
- type: recall_at_10
value: 27.450999999999997
- type: recall_at_100
value: 55.215
- type: recall_at_1000
value: 81.878
- type: recall_at_3
value: 15.143
- type: recall_at_5
value: 19.922
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 91.23347013223893
- type: f1
value: 90.37745005574784
- task:
type: Classification
dataset:
type: None
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 60.43775649794802
- type: f1
value: 41.826394298669705
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 65.53799596503026
- type: f1
value: 63.37514998537075
- task:
type: Classification
dataset:
type: None
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 72.92535305985206
- type: f1
value: 72.01043365342854
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 31.093053205851135
- task:
type: Clustering
dataset:
type: None
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 27.838169401102558
- task:
type: Reranking
dataset:
type: None
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 31.012335830272843
- type: mrr
value: 32.04656357642063
- task:
type: Retrieval
dataset:
type: None
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 4.865
- type: map_at_10
value: 9.599
- type: map_at_100
value: 12.466000000000001
- type: map_at_1000
value: 13.935
- type: map_at_3
value: 7.260999999999999
- type: map_at_5
value: 8.526
- type: mrr_at_1
value: 38.080000000000005
- type: mrr_at_10
value: 47.695
- type: mrr_at_100
value: 48.304
- type: mrr_at_1000
value: 48.351
- type: mrr_at_3
value: 45.098
- type: mrr_at_5
value: 46.569
- type: ndcg_at_1
value: 36.223
- type: ndcg_at_10
value: 28.582
- type: ndcg_at_100
value: 27.229
- type: ndcg_at_1000
value: 36.643
- type: ndcg_at_3
value: 32.653
- type: ndcg_at_5
value: 31.215
- type: precision_at_1
value: 38.080000000000005
- type: precision_at_10
value: 21.207
- type: precision_at_100
value: 7.498
- type: precision_at_1000
value: 2.104
- type: precision_at_3
value: 30.65
- type: precision_at_5
value: 27.059
- type: recall_at_1
value: 4.865
- type: recall_at_10
value: 13.614
- type: recall_at_100
value: 29.659999999999997
- type: recall_at_1000
value: 63.172
- type: recall_at_3
value: 8.248
- type: recall_at_5
value: 10.684000000000001
- task:
type: Retrieval
dataset:
type: None
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 10.581
- type: map_at_10
value: 18.221
- type: map_at_100
value: 19.637999999999998
- type: map_at_1000
value: 19.737
- type: map_at_3
value: 15.341
- type: map_at_5
value: 16.943
- type: mrr_at_1
value: 12.051
- type: mrr_at_10
value: 20.102
- type: mrr_at_100
value: 21.385
- type: mrr_at_1000
value: 21.465
- type: mrr_at_3
value: 17.159
- type: mrr_at_5
value: 18.851000000000003
- type: ndcg_at_1
value: 12.051
- type: ndcg_at_10
value: 23.267
- type: ndcg_at_100
value: 30.211
- type: ndcg_at_1000
value: 32.878
- type: ndcg_at_3
value: 17.354
- type: ndcg_at_5
value: 20.247999999999998
- type: precision_at_1
value: 12.051
- type: precision_at_10
value: 4.356999999999999
- type: precision_at_100
value: 0.827
- type: precision_at_1000
value: 0.108
- type: precision_at_3
value: 8.266
- type: precision_at_5
value: 6.553000000000001
- type: recall_at_1
value: 10.581
- type: recall_at_10
value: 37.119
- type: recall_at_100
value: 68.89699999999999
- type: recall_at_1000
value: 89.354
- type: recall_at_3
value: 21.404999999999998
- type: recall_at_5
value: 28.194000000000003
- task:
type: Retrieval
dataset:
type: None
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 66.119
- type: map_at_10
value: 79.611
- type: map_at_100
value: 80.354
- type: map_at_1000
value: 80.38
- type: map_at_3
value: 76.606
- type: map_at_5
value: 78.485
- type: mrr_at_1
value: 76.12
- type: mrr_at_10
value: 83.328
- type: mrr_at_100
value: 83.499
- type: mrr_at_1000
value: 83.502
- type: mrr_at_3
value: 82.00699999999999
- type: mrr_at_5
value: 82.89699999999999
- type: ndcg_at_1
value: 76.22
- type: ndcg_at_10
value: 84.051
- type: ndcg_at_100
value: 85.797
- type: ndcg_at_1000
value: 86.007
- type: ndcg_at_3
value: 80.646
- type: ndcg_at_5
value: 82.50800000000001
- type: precision_at_1
value: 76.22
- type: precision_at_10
value: 12.76
- type: precision_at_100
value: 1.5010000000000001
- type: precision_at_1000
value: 0.156
- type: precision_at_3
value: 35.160000000000004
- type: precision_at_5
value: 23.264000000000003
- type: recall_at_1
value: 66.119
- type: recall_at_10
value: 92.664
- type: recall_at_100
value: 98.863
- type: recall_at_1000
value: 99.91
- type: recall_at_3
value: 82.994
- type: recall_at_5
value: 88.119
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 43.342566470284666
- task:
type: Clustering
dataset:
type: None
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 51.11469484366251
- task:
type: Retrieval
dataset:
type: None
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.2680000000000002
- type: map_at_10
value: 8.579
- type: map_at_100
value: 10.421999999999999
- type: map_at_1000
value: 10.737
- type: map_at_3
value: 6.0040000000000004
- type: map_at_5
value: 7.26
- type: mrr_at_1
value: 16
- type: mrr_at_10
value: 26.185000000000002
- type: mrr_at_100
value: 27.439000000000004
- type: mrr_at_1000
value: 27.511999999999997
- type: mrr_at_3
value: 22.917
- type: mrr_at_5
value: 24.642
- type: ndcg_at_1
value: 16
- type: ndcg_at_10
value: 15.232000000000001
- type: ndcg_at_100
value: 23.047
- type: ndcg_at_1000
value: 28.774
- type: ndcg_at_3
value: 13.834
- type: ndcg_at_5
value: 12.304
- type: precision_at_1
value: 16
- type: precision_at_10
value: 8.19
- type: precision_at_100
value: 1.958
- type: precision_at_1000
value: 0.333
- type: precision_at_3
value: 13.167000000000002
- type: precision_at_5
value: 11.06
- type: recall_at_1
value: 3.2680000000000002
- type: recall_at_10
value: 16.563
- type: recall_at_100
value: 39.708
- type: recall_at_1000
value: 67.60199999999999
- type: recall_at_3
value: 8.018
- type: recall_at_5
value: 11.193
- task:
type: STS
dataset:
type: None
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 78.76771912274579
- type: cos_sim_spearman
value: 68.21965433585433
- type: euclidean_pearson
value: 73.41725536408647
- type: euclidean_spearman
value: 68.21970849513703
- type: manhattan_pearson
value: 73.07310010299138
- type: manhattan_spearman
value: 68.02842343011922
- task:
type: STS
dataset:
type: None
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 77.24856339472711
- type: cos_sim_spearman
value: 68.13233535199409
- type: euclidean_pearson
value: 72.83173400932682
- type: euclidean_spearman
value: 68.13353961544857
- type: manhattan_pearson
value: 72.364020033214
- type: manhattan_spearman
value: 67.96817473009628
- task:
type: STS
dataset:
type: None
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 78.11822706559114
- type: cos_sim_spearman
value: 78.82692788488787
- type: euclidean_pearson
value: 78.42176146428962
- type: euclidean_spearman
value: 78.82696569079468
- type: manhattan_pearson
value: 77.94207608371939
- type: manhattan_spearman
value: 78.30672557882981
- task:
type: STS
dataset:
type: None
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 79.37520382719511
- type: cos_sim_spearman
value: 75.09236770903914
- type: euclidean_pearson
value: 77.94076407783429
- type: euclidean_spearman
value: 75.0923580173567
- type: manhattan_pearson
value: 77.739191296084
- type: manhattan_spearman
value: 74.9480210937594
- task:
type: STS
dataset:
type: None
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 82.9584878497231
- type: cos_sim_spearman
value: 83.58865804953194
- type: euclidean_pearson
value: 83.32064366874845
- type: euclidean_spearman
value: 83.58865650778534
- type: manhattan_pearson
value: 83.17898835151296
- type: manhattan_spearman
value: 83.45146824277634
- task:
type: STS
dataset:
type: None
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 77.40206220271352
- type: cos_sim_spearman
value: 78.18587292841029
- type: euclidean_pearson
value: 77.63109474603048
- type: euclidean_spearman
value: 78.18586561703366
- type: manhattan_pearson
value: 77.56336963431791
- type: manhattan_spearman
value: 78.13426002359485
- task:
type: STS
dataset:
type: None
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 86.28987235462407
- type: cos_sim_spearman
value: 86.91762382232156
- type: euclidean_pearson
value: 86.05340443036164
- type: euclidean_spearman
value: 86.91849630883524
- type: manhattan_pearson
value: 85.98189959096196
- type: manhattan_spearman
value: 86.94471215865201
- task:
type: STS
dataset:
type: None
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 61.248533592592025
- type: cos_sim_spearman
value: 61.25674726411208
- type: euclidean_pearson
value: 62.668232482670724
- type: euclidean_spearman
value: 61.25674726411208
- type: manhattan_pearson
value: 62.217580952381915
- type: manhattan_spearman
value: 60.77021894786932
- task:
type: STS
dataset:
type: None
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 80.84077621570408
- type: cos_sim_spearman
value: 79.26302777438052
- type: euclidean_pearson
value: 80.5028036765331
- type: euclidean_spearman
value: 79.26304623849835
- type: manhattan_pearson
value: 80.45325721545979
- type: manhattan_spearman
value: 79.22021810584245
- task:
type: Reranking
dataset:
type: None
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 79.71971528163719
- type: mrr
value: 94.15308003543299
- task:
type: Retrieval
dataset:
type: None
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 36.611
- type: map_at_10
value: 46.424
- type: map_at_100
value: 47.347
- type: map_at_1000
value: 47.404
- type: map_at_3
value: 43.153000000000006
- type: map_at_5
value: 45.024
- type: mrr_at_1
value: 39
- type: mrr_at_10
value: 48.423
- type: mrr_at_100
value: 49.126
- type: mrr_at_1000
value: 49.179
- type: mrr_at_3
value: 45.389
- type: mrr_at_5
value: 47.221999999999994
- type: ndcg_at_1
value: 39
- type: ndcg_at_10
value: 52.142999999999994
- type: ndcg_at_100
value: 56.606
- type: ndcg_at_1000
value: 57.894
- type: ndcg_at_3
value: 45.611000000000004
- type: ndcg_at_5
value: 48.85
- type: precision_at_1
value: 39
- type: precision_at_10
value: 7.467
- type: precision_at_100
value: 1.0030000000000001
- type: precision_at_1000
value: 0.11100000000000002
- type: precision_at_3
value: 18.111
- type: precision_at_5
value: 12.6
- type: recall_at_1
value: 36.611
- type: recall_at_10
value: 68.289
- type: recall_at_100
value: 89.267
- type: recall_at_1000
value: 98.867
- type: recall_at_3
value: 50.471999999999994
- type: recall_at_5
value: 58.289
- task:
type: PairClassification
dataset:
type: None
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.72475247524753
- type: cos_sim_ap
value: 92.0612887387195
- type: cos_sim_f1
value: 85.78528827037775
- type: cos_sim_precision
value: 85.27667984189723
- type: cos_sim_recall
value: 86.3
- type: dot_accuracy
value: 99.72475247524753
- type: dot_ap
value: 92.0612887387195
- type: dot_f1
value: 85.78528827037775
- type: dot_precision
value: 85.27667984189723
- type: dot_recall
value: 86.3
- type: euclidean_accuracy
value: 99.72475247524753
- type: euclidean_ap
value: 92.0612887387195
- type: euclidean_f1
value: 85.78528827037775
- type: euclidean_precision
value: 85.27667984189723
- type: euclidean_recall
value: 86.3
- type: manhattan_accuracy
value: 99.72475247524753
- type: manhattan_ap
value: 92.11384029855155
- type: manhattan_f1
value: 85.75595527467186
- type: manhattan_precision
value: 83.44370860927152
- type: manhattan_recall
value: 88.2
- type: max_accuracy
value: 99.72475247524753
- type: max_ap
value: 92.11384029855155
- type: max_f1
value: 85.78528827037775
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 51.43694167734459
- task:
type: Clustering
dataset:
type: None
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 30.99750013836291
- task:
type: Reranking
dataset:
type: None
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 44.11670648850121
- type: mrr
value: 44.651265809354044
- task:
type: Summarization
dataset:
type: None
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 29.82538139718491
- type: cos_sim_spearman
value: 30.223708279486612
- type: dot_pearson
value: 29.8253813971849
- type: dot_spearman
value: 30.26388644272319
- task:
type: Retrieval
dataset:
type: None
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.161
- type: map_at_10
value: 1.171
- type: map_at_100
value: 6.306000000000001
- type: map_at_1000
value: 16.732
- type: map_at_3
value: 0.432
- type: map_at_5
value: 0.645
- type: mrr_at_1
value: 57.99999999999999
- type: mrr_at_10
value: 72.32499999999999
- type: mrr_at_100
value: 72.458
- type: mrr_at_1000
value: 72.458
- type: mrr_at_3
value: 69.667
- type: mrr_at_5
value: 71.56700000000001
- type: ndcg_at_1
value: 53
- type: ndcg_at_10
value: 52.207
- type: ndcg_at_100
value: 40.717
- type: ndcg_at_1000
value: 38.254
- type: ndcg_at_3
value: 57.553
- type: ndcg_at_5
value: 53.795
- type: precision_at_1
value: 60
- type: precision_at_10
value: 56.599999999999994
- type: precision_at_100
value: 42.84
- type: precision_at_1000
value: 18.386
- type: precision_at_3
value: 63.333
- type: precision_at_5
value: 57.99999999999999
- type: recall_at_1
value: 0.161
- type: recall_at_10
value: 1.434
- type: recall_at_100
value: 9.454
- type: recall_at_1000
value: 37.175000000000004
- type: recall_at_3
value: 0.477
- type: recall_at_5
value: 0.735
- task:
type: Retrieval
dataset:
type: None
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.144
- type: map_at_10
value: 8.538
- type: map_at_100
value: 14.526
- type: map_at_1000
value: 16.253
- type: map_at_3
value: 3.721
- type: map_at_5
value: 5.979
- type: mrr_at_1
value: 26.531
- type: mrr_at_10
value: 41.553000000000004
- type: mrr_at_100
value: 42.672
- type: mrr_at_1000
value: 42.672
- type: mrr_at_3
value: 35.714
- type: mrr_at_5
value: 40.306
- type: ndcg_at_1
value: 21.429000000000002
- type: ndcg_at_10
value: 21.421
- type: ndcg_at_100
value: 35.417
- type: ndcg_at_1000
value: 47.281
- type: ndcg_at_3
value: 20.107
- type: ndcg_at_5
value: 23.012
- type: precision_at_1
value: 26.531
- type: precision_at_10
value: 21.02
- type: precision_at_100
value: 8.245
- type: precision_at_1000
value: 1.608
- type: precision_at_3
value: 22.448999999999998
- type: precision_at_5
value: 26.122
- type: recall_at_1
value: 2.144
- type: recall_at_10
value: 15.318999999999999
- type: recall_at_100
value: 50.608
- type: recall_at_1000
value: 86.652
- type: recall_at_3
value: 4.65
- type: recall_at_5
value: 9.286
- task:
type: Classification
dataset:
type: None
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 76.1994
- type: ap
value: 17.166874536029024
- type: f1
value: 58.91563395048056
- task:
type: Classification
dataset:
type: None
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 59.56140350877194
- type: f1
value: 59.83462102375279
- task:
type: Clustering
dataset:
type: None
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 42.717753205468256
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 82.51177206890385
- type: cos_sim_ap
value: 61.880585258206324
- type: cos_sim_f1
value: 59.29389759176994
- type: cos_sim_precision
value: 53.232577665827044
- type: cos_sim_recall
value: 66.91292875989447
- type: dot_accuracy
value: 82.51177206890385
- type: dot_ap
value: 61.880585258206324
- type: dot_f1
value: 59.29389759176994
- type: dot_precision
value: 53.232577665827044
- type: dot_recall
value: 66.91292875989447
- type: euclidean_accuracy
value: 82.51177206890385
- type: euclidean_ap
value: 61.880585258206324
- type: euclidean_f1
value: 59.29389759176994
- type: euclidean_precision
value: 53.232577665827044
- type: euclidean_recall
value: 66.91292875989447
- type: manhattan_accuracy
value: 82.41044286821243
- type: manhattan_ap
value: 61.69366003781778
- type: manhattan_f1
value: 59.267976933035186
- type: manhattan_precision
value: 53.494794986190776
- type: manhattan_recall
value: 66.43799472295514
- type: max_accuracy
value: 82.51177206890385
- type: max_ap
value: 61.880585258206324
- type: max_f1
value: 59.29389759176994
- task:
type: PairClassification
dataset:
type: None
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.58683587534443
- type: cos_sim_ap
value: 83.41906537158532
- type: cos_sim_f1
value: 75.80436150912658
- type: cos_sim_precision
value: 73.01191070537052
- type: cos_sim_recall
value: 78.81890976285803
- type: dot_accuracy
value: 87.58683587534443
- type: dot_ap
value: 83.41906537158532
- type: dot_f1
value: 75.80436150912658
- type: dot_precision
value: 73.01191070537052
- type: dot_recall
value: 78.81890976285803
- type: euclidean_accuracy
value: 87.58683587534443
- type: euclidean_ap
value: 83.41906537158532
- type: euclidean_f1
value: 75.80436150912658
- type: euclidean_precision
value: 73.01191070537052
- type: euclidean_recall
value: 78.81890976285803
- type: manhattan_accuracy
value: 87.55190747855785
- type: manhattan_ap
value: 83.37075875688966
- type: manhattan_f1
value: 75.71862755868028
- type: manhattan_precision
value: 72.19467914251798
- type: manhattan_recall
value: 79.60425007699415
- type: max_accuracy
value: 87.58683587534443
- type: max_ap
value: 83.41906537158532
- type: max_f1
value: 75.80436150912658