Model: FuturoEdu/embed
Author: FuturoEdu
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, onnx, safetensors, nomic_bert, feature-extraction, sentence-similarity, mteb, transformers, transformers.js, custom_code, en, arxiv:2402.01613, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags: feature-extraction, sentence-similarity, mteb, transformers, transformers.js
model-index: name: epoch_0_model
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 76.8507462686567
verified: no, type: ap
value: 40.592189159090495
verified: no, type: f1
value: 71.01634655512476
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 91.51892500000001
verified: no, type: ap
value: 88.50346762975335
verified: no, type: f1
value: 91.50342077459624
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 47.364
verified: no, type: f1
value: 46.72708080922794
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.178
verified: no, type: map_at_10
value: 40.244
verified: no, type: map_at_100
value: 41.321999999999996
verified: no, type: map_at_1000
value: 41.331
verified: no, type: map_at_3
value: 35.016999999999996
verified: no, type: map_at_5
value: 37.99
verified: no, type: mrr_at_1
value: 25.605
verified: no, type: mrr_at_10
value: 40.422000000000004
verified: no, type: mrr_at_100
value: 41.507
verified: no, type: mrr_at_1000
value: 41.516
verified: no, type: mrr_at_3
value: 35.23
verified: no, type: mrr_at_5
value: 38.15
verified: no, type: ndcg_at_1
value: 25.178
verified: no, type: ndcg_at_10
value: 49.258
verified: no, type: ndcg_at_100
value: 53.776
verified: no, type: ndcg_at_1000
value: 53.995000000000005
verified: no, type: ndcg_at_3
value: 38.429
verified: no, type: ndcg_at_5
value: 43.803
verified: no, type: precision_at_1
value: 25.178
verified: no, type: precision_at_10
value: 7.831
verified: no, type: precision_at_100
value: 0.979
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 16.121
verified: no, type: precision_at_5
value: 12.29
verified: no, type: recall_at_1
value: 25.178
verified: no, type: recall_at_10
value: 78.307
verified: no, type: recall_at_100
value: 97.866
verified: no, type: recall_at_1000
value: 99.57300000000001
verified: no, type: recall_at_3
value: 48.364000000000004
verified: no, type: recall_at_5
value: 61.451
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 45.93034494751465
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 36.64579480054327
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 60.601310529222054
verified: no, type: mrr
value: 75.04484896451656
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 88.57797718095814
verified: no, type: cos_sim_spearman
value: 86.47064499110101
verified: no, type: euclidean_pearson
value: 87.4559602783142
verified: no, type: euclidean_spearman
value: 86.47064499110101
verified: no, type: manhattan_pearson
value: 87.7232764230245
verified: no, type: manhattan_spearman
value: 86.91222131777742
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 84.5422077922078
verified: no, type: f1
value: 84.47657456950589
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 38.48953561974464
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics: type: v_measure
value: 32.75995857510105
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.008000000000003
verified: no, type: map_at_10
value: 39.51
verified: no, type: map_at_100
value: 40.841
verified: no, type: map_at_1000
value: 40.973
verified: no, type: map_at_3
value: 36.248999999999995
verified: no, type: map_at_5
value: 38.096999999999994
verified: no, type: mrr_at_1
value: 36.481
verified: no, type: mrr_at_10
value: 44.818000000000005
verified: no, type: mrr_at_100
value: 45.64
verified: no, type: mrr_at_1000
value: 45.687
verified: no, type: mrr_at_3
value: 42.036
verified: no, type: mrr_at_5
value: 43.782
verified: no, type: ndcg_at_1
value: 36.481
verified: no, type: ndcg_at_10
value: 45.152
verified: no, type: ndcg_at_100
value: 50.449
verified: no, type: ndcg_at_1000
value: 52.76499999999999
verified: no, type: ndcg_at_3
value: 40.161
verified: no, type: ndcg_at_5
value: 42.577999999999996
verified: no, type: precision_at_1
value: 36.481
verified: no, type: precision_at_10
value: 8.369
verified: no, type: precision_at_100
value: 1.373
verified: no, type: precision_at_1000
value: 0.186
verified: no, type: precision_at_3
value: 18.693
verified: no, type: precision_at_5
value: 13.533999999999999
verified: no, type: recall_at_1
value: 30.008000000000003
verified: no, type: recall_at_10
value: 56.108999999999995
verified: no, type: recall_at_100
value: 78.55499999999999
verified: no, type: recall_at_1000
value: 93.659
verified: no, type: recall_at_3
value: 41.754999999999995
verified: no, type: recall_at_5
value: 48.296
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.262
verified: no, type: map_at_10
value: 40.139
verified: no, type: map_at_100
value: 41.394
verified: no, type: map_at_1000
value: 41.526
verified: no, type: map_at_3
value: 37.155
verified: no, type: map_at_5
value: 38.785
verified: no, type: mrr_at_1
value: 38.153
verified: no, type: mrr_at_10
value: 46.369
verified: no, type: mrr_at_100
value: 47.072
verified: no, type: mrr_at_1000
value: 47.111999999999995
verified: no, type: mrr_at_3
value: 44.268
verified: no, type: mrr_at_5
value: 45.389
verified: no, type: ndcg_at_1
value: 38.153
verified: no, type: ndcg_at_10
value: 45.925
verified: no, type: ndcg_at_100
value: 50.394000000000005
verified: no, type: ndcg_at_1000
value: 52.37500000000001
verified: no, type: ndcg_at_3
value: 41.754000000000005
verified: no, type: ndcg_at_5
value: 43.574
verified: no, type: precision_at_1
value: 38.153
verified: no, type: precision_at_10
value: 8.796
verified: no, type: precision_at_100
value: 1.432
verified: no, type: precision_at_1000
value: 0.189
verified: no, type: precision_at_3
value: 20.318
verified: no, type: precision_at_5
value: 14.395
verified: no, type: recall_at_1
value: 30.262
verified: no, type: recall_at_10
value: 55.72200000000001
verified: no, type: recall_at_100
value: 74.97500000000001
verified: no, type: recall_at_1000
value: 87.342
verified: no, type: recall_at_3
value: 43.129
verified: no, type: recall_at_5
value: 48.336
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 39.951
verified: no, type: map_at_10
value: 51.248000000000005
verified: no, type: map_at_100
value: 52.188
verified: no, type: map_at_1000
value: 52.247
verified: no, type: map_at_3
value: 48.211
verified: no, type: map_at_5
value: 49.797000000000004
verified: no, type: mrr_at_1
value: 45.329
verified: no, type: mrr_at_10
value: 54.749
verified: no, type: mrr_at_100
value: 55.367999999999995
verified: no, type: mrr_at_1000
value: 55.400000000000006
verified: no, type: mrr_at_3
value: 52.382
verified: no, type: mrr_at_5
value: 53.649
verified: no, type: ndcg_at_1
value: 45.329
verified: no, type: ndcg_at_10
value: 56.847
verified: no, type: ndcg_at_100
value: 60.738
verified: no, type: ndcg_at_1000
value: 61.976
verified: no, type: ndcg_at_3
value: 51.59
verified: no, type: ndcg_at_5
value: 53.915
verified: no, type: precision_at_1
value: 45.329
verified: no, type: precision_at_10
value: 8.959
verified: no, type: precision_at_100
value: 1.187
verified: no, type: precision_at_1000
value: 0.134
verified: no, type: precision_at_3
value: 22.612
verified: no, type: precision_at_5
value: 15.273
verified: no, type: recall_at_1
value: 39.951
verified: no, type: recall_at_10
value: 70.053
verified: no, type: recall_at_100
value: 86.996
verified: no, type: recall_at_1000
value: 95.707
verified: no, type: recall_at_3
value: 56.032000000000004
verified: no, type: recall_at_5
value: 61.629999999999995
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.566
verified: no, type: map_at_10
value: 33.207
verified: no, type: map_at_100
value: 34.166000000000004
verified: no, type: map_at_1000
value: 34.245
verified: no, type: map_at_3
value: 30.94
verified: no, type: map_at_5
value: 32.01
verified: no, type: mrr_at_1
value: 27.345000000000002
verified: no, type: mrr_at_10
value: 35.193000000000005
verified: no, type: mrr_at_100
value: 35.965
verified: no, type: mrr_at_1000
value: 36.028999999999996
verified: no, type: mrr_at_3
value: 32.806000000000004
verified: no, type: mrr_at_5
value: 34.021
verified: no, type: ndcg_at_1
value: 27.345000000000002
verified: no, type: ndcg_at_10
value: 37.891999999999996
verified: no, type: ndcg_at_100
value: 42.664
verified: no, type: ndcg_at_1000
value: 44.757000000000005
verified: no, type: ndcg_at_3
value: 33.123000000000005
verified: no, type: ndcg_at_5
value: 35.035
verified: no, type: precision_at_1
value: 27.345000000000002
verified: no, type: precision_at_10
value: 5.763
verified: no, type: precision_at_100
value: 0.859
verified: no, type: precision_at_1000
value: 0.108
verified: no, type: precision_at_3
value: 13.71
verified: no, type: precision_at_5
value: 9.401
verified: no, type: recall_at_1
value: 25.566
verified: no, type: recall_at_10
value: 50.563
verified: no, type: recall_at_100
value: 72.86399999999999
verified: no, type: recall_at_1000
value: 88.68599999999999
verified: no, type: recall_at_3
value: 37.43
verified: no, type: recall_at_5
value: 41.894999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.663
verified: no, type: map_at_10
value: 23.552
verified: no, type: map_at_100
value: 24.538
verified: no, type: map_at_1000
value: 24.661
verified: no, type: map_at_3
value: 21.085
verified: no, type: map_at_5
value: 22.391
verified: no, type: mrr_at_1
value: 20.025000000000002
verified: no, type: mrr_at_10
value: 27.643
verified: no, type: mrr_at_100
value: 28.499999999999996
verified: no, type: mrr_at_1000
value: 28.582
verified: no, type: mrr_at_3
value: 25.083
verified: no, type: mrr_at_5
value: 26.544
verified: no, type: ndcg_at_1
value: 20.025000000000002
verified: no, type: ndcg_at_10
value: 28.272000000000002
verified: no, type: ndcg_at_100
value: 33.353
verified: no, type: ndcg_at_1000
value: 36.454
verified: no, type: ndcg_at_3
value: 23.579
verified: no, type: ndcg_at_5
value: 25.685000000000002
verified: no, type: precision_at_1
value: 20.025000000000002
verified: no, type: precision_at_10
value: 5.187
verified: no, type: precision_at_100
value: 0.897
verified: no, type: precision_at_1000
value: 0.13
verified: no, type: precision_at_3
value: 10.987
verified: no, type: precision_at_5
value: 8.06
verified: no, type: recall_at_1
value: 16.663
verified: no, type: recall_at_10
value: 38.808
verified: no, type: recall_at_100
value: 61.305
verified: no, type: recall_at_1000
value: 83.571
verified: no, type: recall_at_3
value: 25.907999999999998
verified: no, type: recall_at_5
value: 31.214
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.695999999999998
verified: no, type: map_at_10
value: 37.018
verified: no, type: map_at_100
value: 38.263000000000005
verified: no, type: map_at_1000
value: 38.371
verified: no, type: map_at_3
value: 34.226
verified: no, type: map_at_5
value: 35.809999999999995
verified: no, type: mrr_at_1
value: 32.916000000000004
verified: no, type: mrr_at_10
value: 42.067
verified: no, type: mrr_at_100
value: 42.925000000000004
verified: no, type: mrr_at_1000
value: 42.978
verified: no, type: mrr_at_3
value: 39.637
verified: no, type: mrr_at_5
value: 41.134
verified: no, type: ndcg_at_1
value: 32.916000000000004
verified: no, type: ndcg_at_10
value: 42.539
verified: no, type: ndcg_at_100
value: 47.873
verified: no, type: ndcg_at_1000
value: 50.08200000000001
verified: no, type: ndcg_at_3
value: 37.852999999999994
verified: no, type: ndcg_at_5
value: 40.201
verified: no, type: precision_at_1
value: 32.916000000000004
verified: no, type: precision_at_10
value: 7.5840000000000005
verified: no, type: precision_at_100
value: 1.199
verified: no, type: precision_at_1000
value: 0.155
verified: no, type: precision_at_3
value: 17.485
verified: no, type: precision_at_5
value: 12.512
verified: no, type: recall_at_1
value: 27.695999999999998
verified: no, type: recall_at_10
value: 53.638
verified: no, type: recall_at_100
value: 76.116
verified: no, type: recall_at_1000
value: 91.069
verified: no, type: recall_at_3
value: 41.13
verified: no, type: recall_at_5
value: 46.872
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.108
verified: no, type: map_at_10
value: 33.372
verified: no, type: map_at_100
value: 34.656
verified: no, type: map_at_1000
value: 34.768
verified: no, type: map_at_3
value: 30.830999999999996
verified: no, type: map_at_5
value: 32.204
verified: no, type: mrr_at_1
value: 29.110000000000003
verified: no, type: mrr_at_10
value: 37.979
verified: no, type: mrr_at_100
value: 38.933
verified: no, type: mrr_at_1000
value: 38.988
verified: no, type: mrr_at_3
value: 35.731
verified: no, type: mrr_at_5
value: 36.963
verified: no, type: ndcg_at_1
value: 29.110000000000003
verified: no, type: ndcg_at_10
value: 38.635000000000005
verified: no, type: ndcg_at_100
value: 44.324999999999996
verified: no, type: ndcg_at_1000
value: 46.747
verified: no, type: ndcg_at_3
value: 34.37
verified: no, type: ndcg_at_5
value: 36.228
verified: no, type: precision_at_1
value: 29.110000000000003
verified: no, type: precision_at_10
value: 6.963
verified: no, type: precision_at_100
value: 1.146
verified: no, type: precision_at_1000
value: 0.152
verified: no, type: precision_at_3
value: 16.400000000000002
verified: no, type: precision_at_5
value: 11.552999999999999
verified: no, type: recall_at_1
value: 24.108
verified: no, type: recall_at_10
value: 49.597
verified: no, type: recall_at_100
value: 73.88900000000001
verified: no, type: recall_at_1000
value: 90.62400000000001
verified: no, type: recall_at_3
value: 37.662
verified: no, type: recall_at_5
value: 42.565
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.00791666666667
verified: no, type: map_at_10
value: 33.287749999999996
verified: no, type: map_at_100
value: 34.41141666666667
verified: no, type: map_at_1000
value: 34.52583333333333
verified: no, type: map_at_3
value: 30.734416666666668
verified: no, type: map_at_5
value: 32.137166666666666
verified: no, type: mrr_at_1
value: 29.305666666666664
verified: no, type: mrr_at_10
value: 37.22966666666666
verified: no, type: mrr_at_100
value: 38.066583333333334
verified: no, type: mrr_at_1000
value: 38.12616666666667
verified: no, type: mrr_at_3
value: 34.92275
verified: no, type: mrr_at_5
value: 36.23333333333334
verified: no, type: ndcg_at_1
value: 29.305666666666664
verified: no, type: ndcg_at_10
value: 38.25533333333333
verified: no, type: ndcg_at_100
value: 43.25266666666666
verified: no, type: ndcg_at_1000
value: 45.63583333333334
verified: no, type: ndcg_at_3
value: 33.777166666666666
verified: no, type: ndcg_at_5
value: 35.85
verified: no, type: precision_at_1
value: 29.305666666666664
verified: no, type: precision_at_10
value: 6.596416666666667
verified: no, type: precision_at_100
value: 1.0784166666666668
verified: no, type: precision_at_1000
value: 0.14666666666666664
verified: no, type: precision_at_3
value: 15.31075
verified: no, type: precision_at_5
value: 10.830916666666667
verified: no, type: recall_at_1
value: 25.00791666666667
verified: no, type: recall_at_10
value: 49.10933333333333
verified: no, type: recall_at_100
value: 71.09216666666667
verified: no, type: recall_at_1000
value: 87.77725000000001
verified: no, type: recall_at_3
value: 36.660916666666665
verified: no, type: recall_at_5
value: 41.94149999999999
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.521
verified: no, type: map_at_10
value: 30.043
verified: no, type: map_at_100
value: 30.936000000000003
verified: no, type: map_at_1000
value: 31.022
verified: no, type: map_at_3
value: 27.926000000000002
verified: no, type: map_at_5
value: 29.076999999999998
verified: no, type: mrr_at_1
value: 26.227
verified: no, type: mrr_at_10
value: 32.822
verified: no, type: mrr_at_100
value: 33.61
verified: no, type: mrr_at_1000
value: 33.672000000000004
verified: no, type: mrr_at_3
value: 30.776999999999997
verified: no, type: mrr_at_5
value: 31.866
verified: no, type: ndcg_at_1
value: 26.227
verified: no, type: ndcg_at_10
value: 34.041
verified: no, type: ndcg_at_100
value: 38.394
verified: no, type: ndcg_at_1000
value: 40.732
verified: no, type: ndcg_at_3
value: 30.037999999999997
verified: no, type: ndcg_at_5
value: 31.845000000000002
verified: no, type: precision_at_1
value: 26.227
verified: no, type: precision_at_10
value: 5.244999999999999
verified: no, type: precision_at_100
value: 0.808
verified: no, type: precision_at_1000
value: 0.107
verified: no, type: precision_at_3
value: 12.679000000000002
verified: no, type: precision_at_5
value: 8.773
verified: no, type: recall_at_1
value: 23.521
verified: no, type: recall_at_10
value: 43.633
verified: no, type: recall_at_100
value: 63.126000000000005
verified: no, type: recall_at_1000
value: 80.765
verified: no, type: recall_at_3
value: 32.614
verified: no, type: recall_at_5
value: 37.15
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.236
verified: no, type: map_at_10
value: 22.898
verified: no, type: map_at_100
value: 23.878
verified: no, type: map_at_1000
value: 24.009
verified: no, type: map_at_3
value: 20.87
verified: no, type: map_at_5
value: 22.025
verified: no, type: mrr_at_1
value: 19.339000000000002
verified: no, type: mrr_at_10
value: 26.382
verified: no, type: mrr_at_100
value: 27.245
verified: no, type: mrr_at_1000
value: 27.33
verified: no, type: mrr_at_3
value: 24.386
verified: no, type: mrr_at_5
value: 25.496000000000002
verified: no, type: ndcg_at_1
value: 19.339000000000002
verified: no, type: ndcg_at_10
value: 27.139999999999997
verified: no, type: ndcg_at_100
value: 31.944
verified: no, type: ndcg_at_1000
value: 35.077999999999996
verified: no, type: ndcg_at_3
value: 23.424
verified: no, type: ndcg_at_5
value: 25.188
verified: no, type: precision_at_1
value: 19.339000000000002
verified: no, type: precision_at_10
value: 4.8309999999999995
verified: no, type: precision_at_100
value: 0.845
verified: no, type: precision_at_1000
value: 0.128
verified: no, type: precision_at_3
value: 10.874
verified: no, type: precision_at_5
value: 7.825
verified: no, type: recall_at_1
value: 16.236
verified: no, type: recall_at_10
value: 36.513
verified: no, type: recall_at_100
value: 57.999
verified: no, type: recall_at_1000
value: 80.512
verified: no, type: recall_at_3
value: 26.179999999999996
verified: no, type: recall_at_5
value: 30.712
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.11
verified: no, type: map_at_10
value: 31.566
verified: no, type: map_at_100
value: 32.647
verified: no, type: map_at_1000
value: 32.753
verified: no, type: map_at_3
value: 29.24
verified: no, type: map_at_5
value: 30.564999999999998
verified: no, type: mrr_at_1
value: 28.265
verified: no, type: mrr_at_10
value: 35.504000000000005
verified: no, type: mrr_at_100
value: 36.436
verified: no, type: mrr_at_1000
value: 36.503
verified: no, type: mrr_at_3
value: 33.349000000000004
verified: no, type: mrr_at_5
value: 34.622
verified: no, type: ndcg_at_1
value: 28.265
verified: no, type: ndcg_at_10
value: 36.192
verified: no, type: ndcg_at_100
value: 41.388000000000005
verified: no, type: ndcg_at_1000
value: 43.948
verified: no, type: ndcg_at_3
value: 31.959
verified: no, type: ndcg_at_5
value: 33.998
verified: no, type: precision_at_1
value: 28.265
verified: no, type: precision_at_10
value: 5.989
verified: no, type: precision_at_100
value: 0.9650000000000001
verified: no, type: precision_at_1000
value: 0.13
verified: no, type: precision_at_3
value: 14.335
verified: no, type: precision_at_5
value: 10.112
verified: no, type: recall_at_1
value: 24.11
verified: no, type: recall_at_10
value: 46.418
verified: no, type: recall_at_100
value: 69.314
verified: no, type: recall_at_1000
value: 87.397
verified: no, type: recall_at_3
value: 34.724
verified: no, type: recall_at_5
value: 39.925
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.091
verified: no, type: map_at_10
value: 29.948999999999998
verified: no, type: map_at_100
value: 31.502000000000002
verified: no, type: map_at_1000
value: 31.713
verified: no, type: map_at_3
value: 27.464
verified: no, type: map_at_5
value: 28.968
verified: no, type: mrr_at_1
value: 26.482
verified: no, type: mrr_at_10
value: 34.009
verified: no, type: mrr_at_100
value: 35.081
verified: no, type: mrr_at_1000
value: 35.138000000000005
verified: no, type: mrr_at_3
value: 31.785000000000004
verified: no, type: mrr_at_5
value: 33.178999999999995
verified: no, type: ndcg_at_1
value: 26.482
verified: no, type: ndcg_at_10
value: 35.008
verified: no, type: ndcg_at_100
value: 41.272999999999996
verified: no, type: ndcg_at_1000
value: 43.972
verified: no, type: ndcg_at_3
value: 30.804
verified: no, type: ndcg_at_5
value: 33.046
verified: no, type: precision_at_1
value: 26.482
verified: no, type: precision_at_10
value: 6.462
verified: no, type: precision_at_100
value: 1.431
verified: no, type: precision_at_1000
value: 0.22899999999999998
verified: no, type: precision_at_3
value: 14.360999999999999
verified: no, type: precision_at_5
value: 10.474
verified: no, type: recall_at_1
value: 22.091
verified: no, type: recall_at_10
value: 45.125
verified: no, type: recall_at_100
value: 72.313
verified: no, type: recall_at_1000
value: 89.503
verified: no, type: recall_at_3
value: 33.158
verified: no, type: recall_at_5
value: 39.086999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 19.883
verified: no, type: map_at_10
value: 26.951000000000004
verified: no, type: map_at_100
value: 27.927999999999997
verified: no, type: map_at_1000
value: 28.022000000000002
verified: no, type: map_at_3
value: 24.616
verified: no, type: map_at_5
value: 25.917
verified: no, type: mrr_at_1
value: 21.996
verified: no, type: mrr_at_10
value: 29.221000000000004
verified: no, type: mrr_at_100
value: 30.024
verified: no, type: mrr_at_1000
value: 30.095
verified: no, type: mrr_at_3
value: 26.833000000000002
verified: no, type: mrr_at_5
value: 28.155
verified: no, type: ndcg_at_1
value: 21.996
verified: no, type: ndcg_at_10
value: 31.421
verified: no, type: ndcg_at_100
value: 36.237
verified: no, type: ndcg_at_1000
value: 38.744
verified: no, type: ndcg_at_3
value: 26.671
verified: no, type: ndcg_at_5
value: 28.907
verified: no, type: precision_at_1
value: 21.996
verified: no, type: precision_at_10
value: 5.009
verified: no, type: precision_at_100
value: 0.799
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 11.275
verified: no, type: precision_at_5
value: 8.059
verified: no, type: recall_at_1
value: 19.883
verified: no, type: recall_at_10
value: 43.132999999999996
verified: no, type: recall_at_100
value: 65.654
verified: no, type: recall_at_1000
value: 84.492
verified: no, type: recall_at_3
value: 30.209000000000003
verified: no, type: recall_at_5
value: 35.616
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.756
verified: no, type: map_at_10
value: 30.378
verified: no, type: map_at_100
value: 32.537
verified: no, type: map_at_1000
value: 32.717
verified: no, type: map_at_3
value: 25.599
verified: no, type: map_at_5
value: 28.372999999999998
verified: no, type: mrr_at_1
value: 41.303
verified: no, type: mrr_at_10
value: 53.483999999999995
verified: no, type: mrr_at_100
value: 54.106
verified: no, type: mrr_at_1000
value: 54.127
verified: no, type: mrr_at_3
value: 50.315
verified: no, type: mrr_at_5
value: 52.396
verified: no, type: ndcg_at_1
value: 41.303
verified: no, type: ndcg_at_10
value: 40.503
verified: no, type: ndcg_at_100
value: 47.821000000000005
verified: no, type: ndcg_at_1000
value: 50.788
verified: no, type: ndcg_at_3
value: 34.364
verified: no, type: ndcg_at_5
value: 36.818
verified: no, type: precision_at_1
value: 41.303
verified: no, type: precision_at_10
value: 12.463000000000001
verified: no, type: precision_at_100
value: 2.037
verified: no, type: precision_at_1000
value: 0.26
verified: no, type: precision_at_3
value: 25.798
verified: no, type: precision_at_5
value: 19.896
verified: no, type: recall_at_1
value: 17.756
verified: no, type: recall_at_10
value: 46.102
verified: no, type: recall_at_100
value: 70.819
verified: no, type: recall_at_1000
value: 87.21799999999999
verified: no, type: recall_at_3
value: 30.646
verified: no, type: recall_at_5
value: 38.022
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 9.033
verified: no, type: map_at_10
value: 20.584
verified: no, type: map_at_100
value: 29.518
verified: no, type: map_at_1000
value: 31.186000000000003
verified: no, type: map_at_3
value: 14.468
verified: no, type: map_at_5
value: 17.177
verified: no, type: mrr_at_1
value: 69.75
verified: no, type: mrr_at_10
value: 77.025
verified: no, type: mrr_at_100
value: 77.36699999999999
verified: no, type: mrr_at_1000
value: 77.373
verified: no, type: mrr_at_3
value: 75.583
verified: no, type: mrr_at_5
value: 76.396
verified: no, type: ndcg_at_1
value: 58.5
verified: no, type: ndcg_at_10
value: 45.033
verified: no, type: ndcg_at_100
value: 49.071
verified: no, type: ndcg_at_1000
value: 56.056
verified: no, type: ndcg_at_3
value: 49.936
verified: no, type: ndcg_at_5
value: 47.471999999999994
verified: no, type: precision_at_1
value: 69.75
verified: no, type: precision_at_10
value: 35.775
verified: no, type: precision_at_100
value: 11.594999999999999
verified: no, type: precision_at_1000
value: 2.062
verified: no, type: precision_at_3
value: 52.5
verified: no, type: precision_at_5
value: 45.300000000000004
verified: no, type: recall_at_1
value: 9.033
verified: no, type: recall_at_10
value: 26.596999999999998
verified: no, type: recall_at_100
value: 54.607000000000006
verified: no, type: recall_at_1000
value: 76.961
verified: no, type: recall_at_3
value: 15.754999999999999
verified: no, type: recall_at_5
value: 20.033
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 48.345000000000006
verified: no, type: f1
value: 43.4514918068706
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 71.29100000000001
verified: no, type: map_at_10
value: 81.059
verified: no, type: map_at_100
value: 81.341
verified: no, type: map_at_1000
value: 81.355
verified: no, type: map_at_3
value: 79.74799999999999
verified: no, type: map_at_5
value: 80.612
verified: no, type: mrr_at_1
value: 76.40299999999999
verified: no, type: mrr_at_10
value: 84.615
verified: no, type: mrr_at_100
value: 84.745
verified: no, type: mrr_at_1000
value: 84.748
verified: no, type: mrr_at_3
value: 83.776
verified: no, type: mrr_at_5
value: 84.343
verified: no, type: ndcg_at_1
value: 76.40299999999999
verified: no, type: ndcg_at_10
value: 84.981
verified: no, type: ndcg_at_100
value: 86.00999999999999
verified: no, type: ndcg_at_1000
value: 86.252
verified: no, type: ndcg_at_3
value: 82.97
verified: no, type: ndcg_at_5
value: 84.152
verified: no, type: precision_at_1
value: 76.40299999999999
verified: no, type: precision_at_10
value: 10.446
verified: no, type: precision_at_100
value: 1.1199999999999999
verified: no, type: precision_at_1000
value: 0.116
verified: no, type: precision_at_3
value: 32.147999999999996
verified: no, type: precision_at_5
value: 20.135
verified: no, type: recall_at_1
value: 71.29100000000001
verified: no, type: recall_at_10
value: 93.232
verified: no, type: recall_at_100
value: 97.363
verified: no, type: recall_at_1000
value: 98.905
verified: no, type: recall_at_3
value: 87.893
verified: no, type: recall_at_5
value: 90.804
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.667
verified: no, type: map_at_10
value: 30.853
verified: no, type: map_at_100
value: 32.494
verified: no, type: map_at_1000
value: 32.677
verified: no, type: map_at_3
value: 26.91
verified: no, type: map_at_5
value: 29.099000000000004
verified: no, type: mrr_at_1
value: 37.191
verified: no, type: mrr_at_10
value: 46.171
verified: no, type: mrr_at_100
value: 47.056
verified: no, type: mrr_at_1000
value: 47.099000000000004
verified: no, type: mrr_at_3
value: 44.059
verified: no, type: mrr_at_5
value: 45.147
verified: no, type: ndcg_at_1
value: 37.191
verified: no, type: ndcg_at_10
value: 38.437
verified: no, type: ndcg_at_100
value: 44.62
verified: no, type: ndcg_at_1000
value: 47.795
verified: no, type: ndcg_at_3
value: 35.003
verified: no, type: ndcg_at_5
value: 36.006
verified: no, type: precision_at_1
value: 37.191
verified: no, type: precision_at_10
value: 10.586
verified: no, type: precision_at_100
value: 1.688
verified: no, type: precision_at_1000
value: 0.22699999999999998
verified: no, type: precision_at_3
value: 23.302
verified: no, type: precision_at_5
value: 17.006
verified: no, type: recall_at_1
value: 18.667
verified: no, type: recall_at_10
value: 45.367000000000004
verified: no, type: recall_at_100
value: 68.207
verified: no, type: recall_at_1000
value: 87.072
verified: no, type: recall_at_3
value: 32.129000000000005
verified: no, type: recall_at_5
value: 37.719
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 39.494
verified: no, type: map_at_10
value: 66.223
verified: no, type: map_at_100
value: 67.062
verified: no, type: map_at_1000
value: 67.11500000000001
verified: no, type: map_at_3
value: 62.867
verified: no, type: map_at_5
value: 64.994
verified: no, type: mrr_at_1
value: 78.987
verified: no, type: mrr_at_10
value: 84.585
verified: no, type: mrr_at_100
value: 84.773
verified: no, type: mrr_at_1000
value: 84.77900000000001
verified: no, type: mrr_at_3
value: 83.592
verified: no, type: mrr_at_5
value: 84.235
verified: no, type: ndcg_at_1
value: 78.987
verified: no, type: ndcg_at_10
value: 73.64
verified: no, type: ndcg_at_100
value: 76.519
verified: no, type: ndcg_at_1000
value: 77.51
verified: no, type: ndcg_at_3
value: 68.893
verified: no, type: ndcg_at_5
value: 71.585
verified: no, type: precision_at_1
value: 78.987
verified: no, type: precision_at_10
value: 15.529000000000002
verified: no, type: precision_at_100
value: 1.7770000000000001
verified: no, type: precision_at_1000
value: 0.191
verified: no, type: precision_at_3
value: 44.808
verified: no, type: precision_at_5
value: 29.006999999999998
verified: no, type: recall_at_1
value: 39.494
verified: no, type: recall_at_10
value: 77.643
verified: no, type: recall_at_100
value: 88.825
verified: no, type: recall_at_1000
value: 95.321
verified: no, type: recall_at_3
value: 67.211
verified: no, type: recall_at_5
value: 72.519
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 85.55959999999999
verified: no, type: ap
value: 80.7246500384617
verified: no, type: f1
value: 85.52336485065454
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 23.631
verified: no, type: map_at_10
value: 36.264
verified: no, type: map_at_100
value: 37.428
verified: no, type: map_at_1000
value: 37.472
verified: no, type: map_at_3
value: 32.537
verified: no, type: map_at_5
value: 34.746
verified: no, type: mrr_at_1
value: 24.312
verified: no, type: mrr_at_10
value: 36.858000000000004
verified: no, type: mrr_at_100
value: 37.966
verified: no, type: mrr_at_1000
value: 38.004
verified: no, type: mrr_at_3
value: 33.188
verified: no, type: mrr_at_5
value: 35.367
verified: no, type: ndcg_at_1
value: 24.312
verified: no, type: ndcg_at_10
value: 43.126999999999995
verified: no, type: ndcg_at_100
value: 48.642
verified: no, type: ndcg_at_1000
value: 49.741
verified: no, type: ndcg_at_3
value: 35.589
verified: no, type: ndcg_at_5
value: 39.515
verified: no, type: precision_at_1
value: 24.312
verified: no, type: precision_at_10
value: 6.699
verified: no, type: precision_at_100
value: 0.9450000000000001
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 15.153
verified: no, type: precision_at_5
value: 11.065999999999999
verified: no, type: recall_at_1
value: 23.631
verified: no, type: recall_at_10
value: 64.145
verified: no, type: recall_at_100
value: 89.41
verified: no, type: recall_at_1000
value: 97.83500000000001
verified: no, type: recall_at_3
value: 43.769000000000005
verified: no, type: recall_at_5
value: 53.169
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.4108527131783
verified: no, type: f1
value: 93.1415880261038
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 77.24806201550388
verified: no, type: f1
value: 60.531916308197175
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 73.71553463349024
verified: no, type: f1
value: 71.70753174900791
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.79757901815736
verified: no, type: f1
value: 77.83719850433258
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics: type: v_measure
value: 33.74193296622113
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 30.64257594108566
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 30.811018518883625
verified: no, type: mrr
value: 31.910376577445003
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.409
verified: no, type: map_at_10
value: 13.093
verified: no, type: map_at_100
value: 16.256999999999998
verified: no, type: map_at_1000
value: 17.617
verified: no, type: map_at_3
value: 9.555
verified: no, type: map_at_5
value: 11.428
verified: no, type: mrr_at_1
value: 45.201
verified: no, type: mrr_at_10
value: 54.179
verified: no, type: mrr_at_100
value: 54.812000000000005
verified: no, type: mrr_at_1000
value: 54.840999999999994
verified: no, type: mrr_at_3
value: 51.909000000000006
verified: no, type: mrr_at_5
value: 53.519000000000005
verified: no, type: ndcg_at_1
value: 43.189
verified: no, type: ndcg_at_10
value: 35.028
verified: no, type: ndcg_at_100
value: 31.226
verified: no, type: ndcg_at_1000
value: 39.678000000000004
verified: no, type: ndcg_at_3
value: 40.596
verified: no, type: ndcg_at_5
value: 38.75
verified: no, type: precision_at_1
value: 44.582
verified: no, type: precision_at_10
value: 25.974999999999998
verified: no, type: precision_at_100
value: 7.793
verified: no, type: precision_at_1000
value: 2.036
verified: no, type: precision_at_3
value: 38.493
verified: no, type: precision_at_5
value: 33.994
verified: no, type: recall_at_1
value: 5.409
verified: no, type: recall_at_10
value: 16.875999999999998
verified: no, type: recall_at_100
value: 30.316
verified: no, type: recall_at_1000
value: 60.891
verified: no, type: recall_at_3
value: 10.688
verified: no, type: recall_at_5
value: 13.832
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 36.375
verified: no, type: map_at_10
value: 51.991
verified: no, type: map_at_100
value: 52.91400000000001
verified: no, type: map_at_1000
value: 52.93600000000001
verified: no, type: map_at_3
value: 48.014
verified: no, type: map_at_5
value: 50.381
verified: no, type: mrr_at_1
value: 40.759
verified: no, type: mrr_at_10
value: 54.617000000000004
verified: no, type: mrr_at_100
value: 55.301
verified: no, type: mrr_at_1000
value: 55.315000000000005
verified: no, type: mrr_at_3
value: 51.516
verified: no, type: mrr_at_5
value: 53.435
verified: no, type: ndcg_at_1
value: 40.759
verified: no, type: ndcg_at_10
value: 59.384
verified: no, type: ndcg_at_100
value: 63.157
verified: no, type: ndcg_at_1000
value: 63.654999999999994
verified: no, type: ndcg_at_3
value: 52.114000000000004
verified: no, type: ndcg_at_5
value: 55.986000000000004
verified: no, type: precision_at_1
value: 40.759
verified: no, type: precision_at_10
value: 9.411999999999999
verified: no, type: precision_at_100
value: 1.153
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 23.329
verified: no, type: precision_at_5
value: 16.256999999999998
verified: no, type: recall_at_1
value: 36.375
verified: no, type: recall_at_10
value: 79.053
verified: no, type: recall_at_100
value: 95.167
verified: no, type: recall_at_1000
value: 98.82
verified: no, type: recall_at_3
value: 60.475
verified: no, type: recall_at_5
value: 69.327
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 70.256
verified: no, type: map_at_10
value: 83.8
verified: no, type: map_at_100
value: 84.425
verified: no, type: map_at_1000
value: 84.444
verified: no, type: map_at_3
value: 80.906
verified: no, type: map_at_5
value: 82.717
verified: no, type: mrr_at_1
value: 80.97999999999999
verified: no, type: mrr_at_10
value: 87.161
verified: no, type: mrr_at_100
value: 87.262
verified: no, type: mrr_at_1000
value: 87.263
verified: no, type: mrr_at_3
value: 86.175
verified: no, type: mrr_at_5
value: 86.848
verified: no, type: ndcg_at_1
value: 80.97999999999999
verified: no, type: ndcg_at_10
value: 87.697
verified: no, type: ndcg_at_100
value: 88.959
verified: no, type: ndcg_at_1000
value: 89.09899999999999
verified: no, type: ndcg_at_3
value: 84.83800000000001
verified: no, type: ndcg_at_5
value: 86.401
verified: no, type: precision_at_1
value: 80.97999999999999
verified: no, type: precision_at_10
value: 13.261000000000001
verified: no, type: precision_at_100
value: 1.5150000000000001
verified: no, type: precision_at_1000
value: 0.156
verified: no, type: precision_at_3
value: 37.01
verified: no, type: precision_at_5
value: 24.298000000000002
verified: no, type: recall_at_1
value: 70.256
verified: no, type: recall_at_10
value: 94.935
verified: no, type: recall_at_100
value: 99.274
verified: no, type: recall_at_1000
value: 99.928
verified: no, type: recall_at_3
value: 86.602
verified: no, type: recall_at_5
value: 91.133
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 56.322692497613104
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics: type: v_measure
value: 61.895813503775074
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.338
verified: no, type: map_at_10
value: 10.767
verified: no, type: map_at_100
value: 12.537999999999998
verified: no, type: map_at_1000
value: 12.803999999999998
verified: no, type: map_at_3
value: 7.788
verified: no, type: map_at_5
value: 9.302000000000001
verified: no, type: mrr_at_1
value: 21.4
verified: no, type: mrr_at_10
value: 31.637999999999998
verified: no, type: mrr_at_100
value: 32.688
verified: no, type: mrr_at_1000
value: 32.756
verified: no, type: mrr_at_3
value: 28.433000000000003
verified: no, type: mrr_at_5
value: 30.178
verified: no, type: ndcg_at_1
value: 21.4
verified: no, type: ndcg_at_10
value: 18.293
verified: no, type: ndcg_at_100
value: 25.274
verified: no, type: ndcg_at_1000
value: 30.284
verified: no, type: ndcg_at_3
value: 17.391000000000002
verified: no, type: ndcg_at_5
value: 15.146999999999998
verified: no, type: precision_at_1
value: 21.4
verified: no, type: precision_at_10
value: 9.48
verified: no, type: precision_at_100
value: 1.949
verified: no, type: precision_at_1000
value: 0.316
verified: no, type: precision_at_3
value: 16.167
verified: no, type: precision_at_5
value: 13.22
verified: no, type: recall_at_1
value: 4.338
verified: no, type: recall_at_10
value: 19.213
verified: no, type: recall_at_100
value: 39.562999999999995
verified: no, type: recall_at_1000
value: 64.08
verified: no, type: recall_at_3
value: 9.828000000000001
verified: no, type: recall_at_5
value: 13.383000000000001
verified: no, task: type: STS
dataset: type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics: type: cos_sim_pearson
value: 82.42568163642142
verified: no, type: cos_sim_spearman
value: 78.5797159641342
verified: no, type: euclidean_pearson
value: 80.22151260811604
verified: no, type: euclidean_spearman
value: 78.5797151953878
verified: no, type: manhattan_pearson
value: 80.21224215864788
verified: no, type: manhattan_spearman
value: 78.55641478381344
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_pearson
value: 85.44020710812569
verified: no, type: cos_sim_spearman
value: 78.91631735081286
verified: no, type: euclidean_pearson
value: 81.64188964182102
verified: no, type: euclidean_spearman
value: 78.91633286881678
verified: no, type: manhattan_pearson
value: 81.69294748512496
verified: no, type: manhattan_spearman
value: 78.93438558002656
verified: no, task: type: STS
dataset: type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_pearson
value: 84.27165426412311
verified: no, type: cos_sim_spearman
value: 85.40429140249618
verified: no, type: euclidean_pearson
value: 84.7509580724893
verified: no, type: euclidean_spearman
value: 85.40429140249618
verified: no, type: manhattan_pearson
value: 84.76488289321308
verified: no, type: manhattan_spearman
value: 85.4256793698708
verified: no, task: type: STS
dataset: type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_pearson
value: 83.138851760732
verified: no, type: cos_sim_spearman
value: 81.64101363896586
verified: no, type: euclidean_pearson
value: 82.55165038934942
verified: no, type: euclidean_spearman
value: 81.64105257080502
verified: no, type: manhattan_pearson
value: 82.52802949883335
verified: no, type: manhattan_spearman
value: 81.61255430718158
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 86.0654695484029
verified: no, type: cos_sim_spearman
value: 87.20408521902229
verified: no, type: euclidean_pearson
value: 86.8110651362115
verified: no, type: euclidean_spearman
value: 87.20408521902229
verified: no, type: manhattan_pearson
value: 86.77984656478691
verified: no, type: manhattan_spearman
value: 87.1719947099227
verified: no, task: type: STS
dataset: type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_pearson
value: 83.77823915496512
verified: no, type: cos_sim_spearman
value: 85.43566325729779
verified: no, type: euclidean_pearson
value: 84.5396956658821
verified: no, type: euclidean_spearman
value: 85.43566325729779
verified: no, type: manhattan_pearson
value: 84.5665398848169
verified: no, type: manhattan_spearman
value: 85.44375870303232
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 87.20030208471798
verified: no, type: cos_sim_spearman
value: 87.20485505076539
verified: no, type: euclidean_pearson
value: 88.10588324368722
verified: no, type: euclidean_spearman
value: 87.20485505076539
verified: no, type: manhattan_pearson
value: 87.92324770415183
verified: no, type: manhattan_spearman
value: 87.0571314561877
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 63.06093161604453
verified: no, type: cos_sim_spearman
value: 64.2163140357722
verified: no, type: euclidean_pearson
value: 65.27589680994006
verified: no, type: euclidean_spearman
value: 64.2163140357722
verified: no, type: manhattan_pearson
value: 65.45904383711101
verified: no, type: manhattan_spearman
value: 64.55404716679305
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 84.32976164578706
verified: no, type: cos_sim_spearman
value: 85.54302197678368
verified: no, type: euclidean_pearson
value: 85.26307149193056
verified: no, type: euclidean_spearman
value: 85.54302197678368
verified: no, type: manhattan_pearson
value: 85.26647282029371
verified: no, type: manhattan_spearman
value: 85.5316135265568
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 81.44675968318754
verified: no, type: mrr
value: 94.92741826075158
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 56.34400000000001
verified: no, type: map_at_10
value: 65.927
verified: no, type: map_at_100
value: 66.431
verified: no, type: map_at_1000
value: 66.461
verified: no, type: map_at_3
value: 63.529
verified: no, type: map_at_5
value: 64.818
verified: no, type: mrr_at_1
value: 59.333000000000006
verified: no, type: mrr_at_10
value: 67.54599999999999
verified: no, type: mrr_at_100
value: 67.892
verified: no, type: mrr_at_1000
value: 67.917
verified: no, type: mrr_at_3
value: 65.778
verified: no, type: mrr_at_5
value: 66.794
verified: no, type: ndcg_at_1
value: 59.333000000000006
verified: no, type: ndcg_at_10
value: 70.5
verified: no, type: ndcg_at_100
value: 72.688
verified: no, type: ndcg_at_1000
value: 73.483
verified: no, type: ndcg_at_3
value: 66.338
verified: no, type: ndcg_at_5
value: 68.265
verified: no, type: precision_at_1
value: 59.333000000000006
verified: no, type: precision_at_10
value: 9.3
verified: no, type: precision_at_100
value: 1.053
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 25.889
verified: no, type: precision_at_5
value: 16.866999999999997
verified: no, type: recall_at_1
value: 56.34400000000001
verified: no, type: recall_at_10
value: 82.789
verified: no, type: recall_at_100
value: 92.767
verified: no, type: recall_at_1000
value: 99
verified: no, type: recall_at_3
value: 71.64399999999999
verified: no, type: recall_at_5
value: 76.322
verified: no, task: type: PairClassification
dataset: type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics: type: cos_sim_accuracy
value: 99.75742574257426
verified: no, type: cos_sim_ap
value: 93.52081548447406
verified: no, type: cos_sim_f1
value: 87.33850129198966
verified: no, type: cos_sim_precision
value: 90.37433155080214
verified: no, type: cos_sim_recall
value: 84.5
verified: no, type: dot_accuracy
value: 99.75742574257426
verified: no, type: dot_ap
value: 93.52081548447406
verified: no, type: dot_f1
value: 87.33850129198966
verified: no, type: dot_precision
value: 90.37433155080214
verified: no, type: dot_recall
value: 84.5
verified: no, type: euclidean_accuracy
value: 99.75742574257426
verified: no, type: euclidean_ap
value: 93.52081548447406
verified: no, type: euclidean_f1
value: 87.33850129198966
verified: no, type: euclidean_precision
value: 90.37433155080214
verified: no, type: euclidean_recall
value: 84.5
verified: no, type: manhattan_accuracy
value: 99.75841584158415
verified: no, type: manhattan_ap
value: 93.4975678585854
verified: no, type: manhattan_f1
value: 87.26708074534162
verified: no, type: manhattan_precision
value: 90.45064377682404
verified: no, type: manhattan_recall
value: 84.3
verified: no, type: max_accuracy
value: 99.75841584158415
verified: no, type: max_ap
value: 93.52081548447406
verified: no, type: max_f1
value: 87.33850129198966
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 64.31437036686651
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 33.25569319007206
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 49.90474939720706
verified: no, type: mrr
value: 50.568115503777264
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 29.866828641244712
verified: no, type: cos_sim_spearman
value: 30.077555055873866
verified: no, type: dot_pearson
value: 29.866832988572266
verified: no, type: dot_spearman
value: 30.077555055873866
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.232
verified: no, type: map_at_10
value: 2.094
verified: no, type: map_at_100
value: 11.971
verified: no, type: map_at_1000
value: 28.158
verified: no, type: map_at_3
value: 0.688
verified: no, type: map_at_5
value: 1.114
verified: no, type: mrr_at_1
value: 88
verified: no, type: mrr_at_10
value: 93.4
verified: no, type: mrr_at_100
value: 93.4
verified: no, type: mrr_at_1000
value: 93.4
verified: no, type: mrr_at_3
value: 93
verified: no, type: mrr_at_5
value: 93.4
verified: no, type: ndcg_at_1
value: 84
verified: no, type: ndcg_at_10
value: 79.923
verified: no, type: ndcg_at_100
value: 61.17
verified: no, type: ndcg_at_1000
value: 53.03
verified: no, type: ndcg_at_3
value: 84.592
verified: no, type: ndcg_at_5
value: 82.821
verified: no, type: precision_at_1
value: 88
verified: no, type: precision_at_10
value: 85
verified: no, type: precision_at_100
value: 63.019999999999996
verified: no, type: precision_at_1000
value: 23.554
verified: no, type: precision_at_3
value: 89.333
verified: no, type: precision_at_5
value: 87.2
verified: no, type: recall_at_1
value: 0.232
verified: no, type: recall_at_10
value: 2.255
verified: no, type: recall_at_100
value: 14.823
verified: no, type: recall_at_1000
value: 49.456
verified: no, type: recall_at_3
value: 0.718
verified: no, type: recall_at_5
value: 1.175
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.547
verified: no, type: map_at_10
value: 11.375
verified: no, type: map_at_100
value: 18.194
verified: no, type: map_at_1000
value: 19.749
verified: no, type: map_at_3
value: 5.825
verified: no, type: map_at_5
value: 8.581
verified: no, type: mrr_at_1
value: 32.653
verified: no, type: mrr_at_10
value: 51.32
verified: no, type: mrr_at_100
value: 51.747
verified: no, type: mrr_at_1000
value: 51.747
verified: no, type: mrr_at_3
value: 47.278999999999996
verified: no, type: mrr_at_5
value: 48.605
verified: no, type: ndcg_at_1
value: 29.592000000000002
verified: no, type: ndcg_at_10
value: 28.151
verified: no, type: ndcg_at_100
value: 39.438
verified: no, type: ndcg_at_1000
value: 50.769
verified: no, type: ndcg_at_3
value: 30.758999999999997
verified: no, type: ndcg_at_5
value: 30.366
verified: no, type: precision_at_1
value: 32.653
verified: no, type: precision_at_10
value: 25.714
verified: no, type: precision_at_100
value: 8.041
verified: no, type: precision_at_1000
value: 1.555
verified: no, type: precision_at_3
value: 33.333
verified: no, type: precision_at_5
value: 31.837
verified: no, type: recall_at_1
value: 2.547
verified: no, type: recall_at_10
value: 18.19
verified: no, type: recall_at_100
value: 49.538
verified: no, type: recall_at_1000
value: 83.86
verified: no, type: recall_at_3
value: 7.329
verified: no, type: recall_at_5
value: 11.532
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 71.4952
verified: no, type: ap
value: 14.793362635531409
verified: no, type: f1
value: 55.204635551516915
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 61.5365025466893
verified: no, type: f1
value: 61.81742556334845
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 49.05531070301185
verified: no, task: type: PairClassification
dataset: type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics: type: cos_sim_accuracy
value: 86.51725576682364
verified: no, type: cos_sim_ap
value: 75.2292304265163
verified: no, type: cos_sim_f1
value: 69.54022988505749
verified: no, type: cos_sim_precision
value: 63.65629110039457
verified: no, type: cos_sim_recall
value: 76.62269129287598
verified: no, type: dot_accuracy
value: 86.51725576682364
verified: no, type: dot_ap
value: 75.22922386081054
verified: no, type: dot_f1
value: 69.54022988505749
verified: no, type: dot_precision
value: 63.65629110039457
verified: no, type: dot_recall
value: 76.62269129287598
verified: no, type: euclidean_accuracy
value: 86.51725576682364
verified: no, type: euclidean_ap
value: 75.22925730473472
verified: no, type: euclidean_f1
value: 69.54022988505749
verified: no, type: euclidean_precision
value: 63.65629110039457
verified: no, type: euclidean_recall
value: 76.62269129287598
verified: no, type: manhattan_accuracy
value: 86.52321630804077
verified: no, type: manhattan_ap
value: 75.20608115037336
verified: no, type: manhattan_f1
value: 69.60000000000001
verified: no, type: manhattan_precision
value: 64.37219730941705
verified: no, type: manhattan_recall
value: 75.75197889182058
verified: no, type: max_accuracy
value: 86.52321630804077
verified: no, type: max_ap
value: 75.22925730473472
verified: no, type: max_f1
value: 69.60000000000001
verified: no, task: type: PairClassification
dataset: type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 89.34877944657896
verified: no, type: cos_sim_ap
value: 86.71257569277373
verified: no, type: cos_sim_f1
value: 79.10386355986088
verified: no, type: cos_sim_precision
value: 76.91468470434214
verified: no, type: cos_sim_recall
value: 81.4213119802895
verified: no, type: dot_accuracy
value: 89.34877944657896
verified: no, type: dot_ap
value: 86.71257133133368
verified: no, type: dot_f1
value: 79.10386355986088
verified: no, type: dot_precision
value: 76.91468470434214
verified: no, type: dot_recall
value: 81.4213119802895
verified: no, type: euclidean_accuracy
value: 89.34877944657896
verified: no, type: euclidean_ap
value: 86.71257651501476
verified: no, type: euclidean_f1
value: 79.10386355986088
verified: no, type: euclidean_precision
value: 76.91468470434214
verified: no, type: euclidean_recall
value: 81.4213119802895
verified: no, type: manhattan_accuracy
value: 89.35848177901967
verified: no, type: manhattan_ap
value: 86.69330615469126
verified: no, type: manhattan_f1
value: 79.13867741453949
verified: no, type: manhattan_precision
value: 76.78881807647741
verified: no, type: manhattan_recall
value: 81.63689559593472
verified: no, type: max_accuracy
value: 89.35848177901967
verified: no, type: max_ap
value: 86.71257651501476
verified: no, type: max_f1
value: 79.13867741453949
verified: no
license: apache-2.0
language: en
new_version: nomic-ai/nomic-embed-text-v1.5
Likes: 0 | All-time downloads: 19
Created: 2025-12-08 16:32:39