Model: nvidia/NV-Embed-v2
Author: nvidia
Pipeline: feature-extraction
Library: transformers
Tags: transformers, safetensors, nvembed, feature-extraction, mteb, sentence-transformers, custom_code, en, arxiv:2405.17428, arxiv:2407.15831, license:cc-by-nc-4.0, model-index, region:us
Card metadata: tags: mteb, sentence-transformers
model-index: name: NV-Embed-v2
results: dataset: config: en
name: MTEB AmazonCounterfactualClassification (en)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics: type: accuracy
value: 94.28358208955224
verified: no, type: accuracy_stderr
value: 0.40076780842082305
verified: no, type: ap
value: 76.49097318319616
verified: no, type: ap_stderr
value: 1.2418692675183929
verified: no, type: f1
value: 91.41982003001168
verified: no, type: f1_stderr
value: 0.5043921413093579
verified: no, type: main_score
value: 94.28358208955224
verified: no
task: type: Classification, dataset: config: default
name: MTEB AmazonPolarityClassification
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
split: test
type: mteb/amazon_polarity
metrics: type: accuracy
value: 97.74185000000001
verified: no, type: accuracy_stderr
value: 0.07420471683120942
verified: no, type: ap
value: 96.4737144875525
verified: no, type: ap_stderr
value: 0.2977518241541558
verified: no, type: f1
value: 97.7417581594921
verified: no, type: f1_stderr
value: 0.07428763617010377
verified: no, type: main_score
value: 97.74185000000001
verified: no
task: type: Classification, dataset: config: en
name: MTEB AmazonReviewsClassification (en)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 63.96000000000001
verified: no, type: accuracy_stderr
value: 1.815555011559825
verified: no, type: f1
value: 62.49361841640459
verified: no, type: f1_stderr
value: 2.829339314126457
verified: no, type: main_score
value: 63.96000000000001
verified: no
task: type: Classification, dataset: config: default
name: MTEB ArguAna
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
split: test
type: mteb/arguana
metrics: type: map_at_1
value: 46.515
verified: no, type: map_at_10
value: 62.392
verified: no, type: map_at_100
value: 62.732
verified: no, type: map_at_1000
value: 62.733000000000004
verified: no, type: map_at_3
value: 58.701
verified: no, type: map_at_5
value: 61.027
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 46.515
verified: no, type: ndcg_at_10
value: 70.074
verified: no, type: ndcg_at_100
value: 71.395
verified: no, type: ndcg_at_1000
value: 71.405
verified: no, type: ndcg_at_3
value: 62.643
verified: no, type: ndcg_at_5
value: 66.803
verified: no, type: precision_at_1
value: 46.515
verified: no, type: precision_at_10
value: 9.41
verified: no, type: precision_at_100
value: 0.996
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 24.68
verified: no, type: precision_at_5
value: 16.814
verified: no, type: recall_at_1
value: 46.515
verified: no, type: recall_at_10
value: 94.097
verified: no, type: recall_at_100
value: 99.57300000000001
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 74.03999999999999
verified: no, type: recall_at_5
value: 84.068
verified: no, type: main_score
value: 70.074
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ArxivClusteringP2P
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
split: test
type: mteb/arxiv-clustering-p2p
metrics: type: main_score
value: 55.79933795955242
verified: no, type: v_measure
value: 55.79933795955242
verified: no, type: v_measure_std
value: 14.575108141916148
verified: no
task: type: Clustering, dataset: config: default
name: MTEB ArxivClusteringS2S
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
split: test
type: mteb/arxiv-clustering-s2s
metrics: type: main_score
value: 51.262845995850334
verified: no, type: v_measure
value: 51.262845995850334
verified: no, type: v_measure_std
value: 14.727824473104173
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AskUbuntuDupQuestions
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
split: test
type: mteb/askubuntudupquestions-reranking
metrics: type: map
value: 67.46477327480808
verified: no, type: mrr
value: 79.50160488941653
verified: no, type: main_score
value: 67.46477327480808
verified: no
task: type: Reranking, dataset: config: default
name: MTEB BIOSSES
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
split: test
type: mteb/biosses-sts
metrics: type: cosine_pearson
value: 89.74311007980987
verified: no, type: cosine_spearman
value: 87.41644967443246
verified: no, type: manhattan_pearson
value: 88.57457108347744
verified: no, type: manhattan_spearman
value: 87.59295972042997
verified: no, type: euclidean_pearson
value: 88.27108977118459
verified: no, type: euclidean_spearman
value: 87.41644967443246
verified: no, type: main_score
value: 87.41644967443246
verified: no
task: type: STS, dataset: config: default
name: MTEB Banking77Classification
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
split: test
type: mteb/banking77
metrics: type: accuracy
value: 92.41558441558443
verified: no, type: accuracy_stderr
value: 0.37701502251934443
verified: no, type: f1
value: 92.38130170447671
verified: no, type: f1_stderr
value: 0.39115151225617767
verified: no, type: main_score
value: 92.41558441558443
verified: no
task: type: Classification, dataset: config: default
name: MTEB BiorxivClusteringP2P
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
split: test
type: mteb/biorxiv-clustering-p2p
metrics: type: main_score
value: 54.08649516394218
verified: no, type: v_measure
value: 54.08649516394218
verified: no, type: v_measure_std
value: 0.5303233693045373
verified: no
task: type: Clustering, dataset: config: default
name: MTEB BiorxivClusteringS2S
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
split: test
type: mteb/biorxiv-clustering-s2s
metrics: type: main_score
value: 49.60352214167779
verified: no, type: v_measure
value: 49.60352214167779
verified: no, type: v_measure_std
value: 0.7176198612516721
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CQADupstackRetrieval
revision: 46989137a86843e03a6195de44b09deda022eec7
split: test
type: CQADupstackRetrieval_is_a_combined_dataset
metrics: type: map_at_1
value: 31.913249999999998
verified: no, type: map_at_10
value: 43.87733333333334
verified: no, type: map_at_100
value: 45.249916666666664
verified: no, type: map_at_1000
value: 45.350583333333326
verified: no, type: map_at_3
value: 40.316833333333335
verified: no, type: map_at_5
value: 42.317083333333336
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 38.30616666666667
verified: no, type: ndcg_at_10
value: 50.24175000000001
verified: no, type: ndcg_at_100
value: 55.345333333333336
verified: no, type: ndcg_at_1000
value: 56.91225000000001
verified: no, type: ndcg_at_3
value: 44.67558333333333
verified: no, type: ndcg_at_5
value: 47.32333333333334
verified: no, type: precision_at_1
value: 38.30616666666667
verified: no, type: precision_at_10
value: 9.007416666666666
verified: no, type: precision_at_100
value: 1.3633333333333333
verified: no, type: precision_at_1000
value: 0.16691666666666666
verified: no, type: precision_at_3
value: 20.895666666666667
verified: no, type: precision_at_5
value: 14.871666666666666
verified: no, type: recall_at_1
value: 31.913249999999998
verified: no, type: recall_at_10
value: 64.11891666666666
verified: no, type: recall_at_100
value: 85.91133333333333
verified: no, type: recall_at_1000
value: 96.28225
verified: no, type: recall_at_3
value: 48.54749999999999
verified: no, type: recall_at_5
value: 55.44283333333334
verified: no, type: main_score
value: 50.24175000000001
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ClimateFEVER
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
split: test
type: mteb/climate-fever
metrics: type: map_at_1
value: 19.556
verified: no, type: map_at_10
value: 34.623
verified: no, type: map_at_100
value: 36.97
verified: no, type: map_at_1000
value: 37.123
verified: no, type: map_at_3
value: 28.904999999999998
verified: no, type: map_at_5
value: 31.955
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 44.104
verified: no, type: ndcg_at_10
value: 45.388
verified: no, type: ndcg_at_100
value: 52.793
verified: no, type: ndcg_at_1000
value: 55.108999999999995
verified: no, type: ndcg_at_3
value: 38.604
verified: no, type: ndcg_at_5
value: 40.806
verified: no, type: precision_at_1
value: 44.104
verified: no, type: precision_at_10
value: 14.143
verified: no, type: precision_at_100
value: 2.2190000000000003
verified: no, type: precision_at_1000
value: 0.266
verified: no, type: precision_at_3
value: 29.316
verified: no, type: precision_at_5
value: 21.98
verified: no, type: recall_at_1
value: 19.556
verified: no, type: recall_at_10
value: 52.120999999999995
verified: no, type: recall_at_100
value: 76.509
verified: no, type: recall_at_1000
value: 89.029
verified: no, type: recall_at_3
value: 34.919
verified: no, type: recall_at_5
value: 42.18
verified: no, type: main_score
value: 45.388
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB DBPedia
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
split: test
type: mteb/dbpedia
metrics: type: map_at_1
value: 10.714
verified: no, type: map_at_10
value: 25.814999999999998
verified: no, type: map_at_100
value: 37.845
verified: no, type: map_at_1000
value: 39.974
verified: no, type: map_at_3
value: 17.201
verified: no, type: map_at_5
value: 21.062
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 66
verified: no, type: ndcg_at_10
value: 53.496
verified: no, type: ndcg_at_100
value: 58.053
verified: no, type: ndcg_at_1000
value: 64.886
verified: no, type: ndcg_at_3
value: 57.656
verified: no, type: ndcg_at_5
value: 55.900000000000006
verified: no, type: precision_at_1
value: 77.25
verified: no, type: precision_at_10
value: 43.65
verified: no, type: precision_at_100
value: 13.76
verified: no, type: precision_at_1000
value: 2.5940000000000003
verified: no, type: precision_at_3
value: 61
verified: no, type: precision_at_5
value: 54.65
verified: no, type: recall_at_1
value: 10.714
verified: no, type: recall_at_10
value: 31.173000000000002
verified: no, type: recall_at_100
value: 63.404
verified: no, type: recall_at_1000
value: 85.874
verified: no, type: recall_at_3
value: 18.249000000000002
verified: no, type: recall_at_5
value: 23.69
verified: no, type: main_score
value: 53.496
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB EmotionClassification
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
split: test
type: mteb/emotion
metrics: type: accuracy
value: 93.38499999999999
verified: no, type: accuracy_stderr
value: 0.13793114224133846
verified: no, type: f1
value: 90.12141028353496
verified: no, type: f1_stderr
value: 0.174640257706043
verified: no, type: main_score
value: 93.38499999999999
verified: no
task: type: Classification, dataset: config: default
name: MTEB FEVER
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
split: test
type: mteb/fever
metrics: type: map_at_1
value: 84.66900000000001
verified: no, type: map_at_10
value: 91.52799999999999
verified: no, type: map_at_100
value: 91.721
verified: no, type: map_at_1000
value: 91.73
verified: no, type: map_at_3
value: 90.752
verified: no, type: map_at_5
value: 91.262
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 91.20899999999999
verified: no, type: ndcg_at_10
value: 93.74900000000001
verified: no, type: ndcg_at_100
value: 94.279
verified: no, type: ndcg_at_1000
value: 94.408
verified: no, type: ndcg_at_3
value: 92.923
verified: no, type: ndcg_at_5
value: 93.376
verified: no, type: precision_at_1
value: 91.20899999999999
verified: no, type: precision_at_10
value: 11.059
verified: no, type: precision_at_100
value: 1.1560000000000001
verified: no, type: precision_at_1000
value: 0.11800000000000001
verified: no, type: precision_at_3
value: 35.129
verified: no, type: precision_at_5
value: 21.617
verified: no, type: recall_at_1
value: 84.66900000000001
verified: no, type: recall_at_10
value: 97.03399999999999
verified: no, type: recall_at_100
value: 98.931
verified: no, type: recall_at_1000
value: 99.65899999999999
verified: no, type: recall_at_3
value: 94.76299999999999
verified: no, type: recall_at_5
value: 95.968
verified: no, type: main_score
value: 93.74900000000001
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB FiQA2018
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
split: test
type: mteb/fiqa
metrics: type: map_at_1
value: 34.866
verified: no, type: map_at_10
value: 58.06099999999999
verified: no, type: map_at_100
value: 60.028999999999996
verified: no, type: map_at_1000
value: 60.119
verified: no, type: map_at_3
value: 51.304
verified: no, type: map_at_5
value: 55.054
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 64.815
verified: no, type: ndcg_at_10
value: 65.729
verified: no, type: ndcg_at_100
value: 71.14
verified: no, type: ndcg_at_1000
value: 72.336
verified: no, type: ndcg_at_3
value: 61.973
verified: no, type: ndcg_at_5
value: 62.858000000000004
verified: no, type: precision_at_1
value: 64.815
verified: no, type: precision_at_10
value: 17.87
verified: no, type: precision_at_100
value: 2.373
verified: no, type: precision_at_1000
value: 0.258
verified: no, type: precision_at_3
value: 41.152
verified: no, type: precision_at_5
value: 29.568
verified: no, type: recall_at_1
value: 34.866
verified: no, type: recall_at_10
value: 72.239
verified: no, type: recall_at_100
value: 91.19
verified: no, type: recall_at_1000
value: 98.154
verified: no, type: recall_at_3
value: 56.472
verified: no, type: recall_at_5
value: 63.157
verified: no, type: main_score
value: 65.729
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB HotpotQA
revision: ab518f4d6fcca38d87c25209f94beba119d02014
split: test
type: mteb/hotpotqa
metrics: type: map_at_1
value: 44.651999999999994
verified: no, type: map_at_10
value: 79.95100000000001
verified: no, type: map_at_100
value: 80.51700000000001
verified: no, type: map_at_1000
value: 80.542
verified: no, type: map_at_3
value: 77.008
verified: no, type: map_at_5
value: 78.935
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 89.305
verified: no, type: ndcg_at_10
value: 85.479
verified: no, type: ndcg_at_100
value: 87.235
verified: no, type: ndcg_at_1000
value: 87.669
verified: no, type: ndcg_at_3
value: 81.648
verified: no, type: ndcg_at_5
value: 83.88600000000001
verified: no, type: precision_at_1
value: 89.305
verified: no, type: precision_at_10
value: 17.807000000000002
verified: no, type: precision_at_100
value: 1.9140000000000001
verified: no, type: precision_at_1000
value: 0.197
verified: no, type: precision_at_3
value: 53.756
verified: no, type: precision_at_5
value: 34.018
verified: no, type: recall_at_1
value: 44.651999999999994
verified: no, type: recall_at_10
value: 89.034
verified: no, type: recall_at_100
value: 95.719
verified: no, type: recall_at_1000
value: 98.535
verified: no, type: recall_at_3
value: 80.635
verified: no, type: recall_at_5
value: 85.044
verified: no, type: main_score
value: 85.479
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ImdbClassification
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
split: test
type: mteb/imdb
metrics: type: accuracy
value: 97.1376
verified: no, type: accuracy_stderr
value: 0.04571914259913447
verified: no, type: ap
value: 95.92783808558808
verified: no, type: ap_stderr
value: 0.05063782483358255
verified: no, type: f1
value: 97.13755519177172
verified: no, type: f1_stderr
value: 0.04575943074086138
verified: no, type: main_score
value: 97.1376
verified: no
task: type: Classification, dataset: config: default
name: MTEB MSMARCO
revision: c5a29a104738b98a9e76336939199e264163d4a0
split: dev
type: mteb/msmarco
metrics: type: map_at_1
value: 0
verified: no, type: map_at_10
value: 38.342
verified: no, type: map_at_100
value: 0
verified: no, type: map_at_1000
value: 0
verified: no, type: map_at_3
value: 0
verified: no, type: map_at_5
value: 0
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 0
verified: no, type: ndcg_at_10
value: 45.629999999999995
verified: no, type: ndcg_at_100
value: 0
verified: no, type: ndcg_at_1000
value: 0
verified: no, type: ndcg_at_3
value: 0
verified: no, type: ndcg_at_5
value: 0
verified: no, type: precision_at_1
value: 0
verified: no, type: precision_at_10
value: 7.119000000000001
verified: no, type: precision_at_100
value: 0
verified: no, type: precision_at_1000
value: 0
verified: no, type: precision_at_3
value: 0
verified: no, type: precision_at_5
value: 0
verified: no, type: recall_at_1
value: 0
verified: no, type: recall_at_10
value: 67.972
verified: no, type: recall_at_100
value: 0
verified: no, type: recall_at_1000
value: 0
verified: no, type: recall_at_3
value: 0
verified: no, type: recall_at_5
value: 0
verified: no, type: main_score
value: 45.629999999999995
verified: no
task: type: Retrieval, dataset: config: en
name: MTEB MTOPDomainClassification (en)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
value: 99.24988600091199
verified: no, type: accuracy_stderr
value: 0.04496826931900734
verified: no, type: f1
value: 99.15933275095276
verified: no, type: f1_stderr
value: 0.05565039139747446
verified: no, type: main_score
value: 99.24988600091199
verified: no
task: type: Classification, dataset: config: en
name: MTEB MTOPIntentClassification (en)
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
split: test
type: mteb/mtop_intent
metrics: type: accuracy
value: 94.3684450524396
verified: no, type: accuracy_stderr
value: 0.8436548701322188
verified: no, type: f1
value: 77.33022623133307
verified: no, type: f1_stderr
value: 0.9228425861187275
verified: no, type: main_score
value: 94.3684450524396
verified: no
task: type: Classification, dataset: config: en
name: MTEB MassiveIntentClassification (en)
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 86.09616677874916
verified: no, type: accuracy_stderr
value: 0.9943208055590853
verified: no, type: f1
value: 83.4902056490062
verified: no, type: f1_stderr
value: 0.7626189310074184
verified: no, type: main_score
value: 86.09616677874916
verified: no
task: type: Classification, dataset: config: en
name: MTEB MassiveScenarioClassification (en)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 92.17215870880968
verified: no, type: accuracy_stderr
value: 0.25949941333658166
verified: no, type: f1
value: 91.36757392422702
verified: no, type: f1_stderr
value: 0.29139507298154815
verified: no, type: main_score
value: 92.17215870880968
verified: no
task: type: Classification, dataset: config: default
name: MTEB MedrxivClusteringP2P
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
split: test
type: mteb/medrxiv-clustering-p2p
metrics: type: main_score
value: 46.09497344077905
verified: no, type: v_measure
value: 46.09497344077905
verified: no, type: v_measure_std
value: 1.44871520869784
verified: no
task: type: Clustering, dataset: config: default
name: MTEB MedrxivClusteringS2S
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
split: test
type: mteb/medrxiv-clustering-s2s
metrics: type: main_score
value: 44.861049989560684
verified: no, type: v_measure
value: 44.861049989560684
verified: no, type: v_measure_std
value: 1.432199293162203
verified: no
task: type: Clustering, dataset: config: default
name: MTEB MindSmallReranking
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
split: test
type: mteb/mind_small
metrics: type: map
value: 31.75936162919999
verified: no, type: mrr
value: 32.966812736541236
verified: no, type: main_score
value: 31.75936162919999
verified: no
task: type: Reranking, dataset: config: default
name: MTEB NFCorpus
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
split: test
type: mteb/nfcorpus
metrics: type: map_at_1
value: 7.893999999999999
verified: no, type: map_at_10
value: 17.95
verified: no, type: map_at_100
value: 23.474
verified: no, type: map_at_1000
value: 25.412000000000003
verified: no, type: map_at_3
value: 12.884
verified: no, type: map_at_5
value: 15.171000000000001
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 55.728
verified: no, type: ndcg_at_10
value: 45.174
verified: no, type: ndcg_at_100
value: 42.18
verified: no, type: ndcg_at_1000
value: 50.793
verified: no, type: ndcg_at_3
value: 50.322
verified: no, type: ndcg_at_5
value: 48.244
verified: no, type: precision_at_1
value: 57.276
verified: no, type: precision_at_10
value: 33.437
verified: no, type: precision_at_100
value: 10.671999999999999
verified: no, type: precision_at_1000
value: 2.407
verified: no, type: precision_at_3
value: 46.646
verified: no, type: precision_at_5
value: 41.672
verified: no, type: recall_at_1
value: 7.893999999999999
verified: no, type: recall_at_10
value: 22.831000000000003
verified: no, type: recall_at_100
value: 43.818
verified: no, type: recall_at_1000
value: 75.009
verified: no, type: recall_at_3
value: 14.371
verified: no, type: recall_at_5
value: 17.752000000000002
verified: no, type: main_score
value: 45.174
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB NQ
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
split: test
type: mteb/nq
metrics: type: map_at_1
value: 49.351
verified: no, type: map_at_10
value: 66.682
verified: no, type: map_at_100
value: 67.179
verified: no, type: map_at_1000
value: 67.18499999999999
verified: no, type: map_at_3
value: 62.958999999999996
verified: no, type: map_at_5
value: 65.364
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 55.417
verified: no, type: ndcg_at_10
value: 73.568
verified: no, type: ndcg_at_100
value: 75.35
verified: no, type: ndcg_at_1000
value: 75.478
verified: no, type: ndcg_at_3
value: 67.201
verified: no, type: ndcg_at_5
value: 70.896
verified: no, type: precision_at_1
value: 55.417
verified: no, type: precision_at_10
value: 11.036999999999999
verified: no, type: precision_at_100
value: 1.204
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 29.654000000000003
verified: no, type: precision_at_5
value: 20.006
verified: no, type: recall_at_1
value: 49.351
verified: no, type: recall_at_10
value: 91.667
verified: no, type: recall_at_100
value: 98.89
verified: no, type: recall_at_1000
value: 99.812
verified: no, type: recall_at_3
value: 75.715
verified: no, type: recall_at_5
value: 84.072
verified: no, type: main_score
value: 73.568
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB QuoraRetrieval
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
split: test
type: mteb/quora
metrics: type: map_at_1
value: 71.358
verified: no, type: map_at_10
value: 85.474
verified: no, type: map_at_100
value: 86.101
verified: no, type: map_at_1000
value: 86.114
verified: no, type: map_at_3
value: 82.562
verified: no, type: map_at_5
value: 84.396
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 82.12
verified: no, type: ndcg_at_10
value: 89.035
verified: no, type: ndcg_at_100
value: 90.17399999999999
verified: no, type: ndcg_at_1000
value: 90.243
verified: no, type: ndcg_at_3
value: 86.32300000000001
verified: no, type: ndcg_at_5
value: 87.85
verified: no, type: precision_at_1
value: 82.12
verified: no, type: precision_at_10
value: 13.55
verified: no, type: precision_at_100
value: 1.54
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.89
verified: no, type: precision_at_5
value: 24.9
verified: no, type: recall_at_1
value: 71.358
verified: no, type: recall_at_10
value: 95.855
verified: no, type: recall_at_100
value: 99.711
verified: no, type: recall_at_1000
value: 99.994
verified: no, type: recall_at_3
value: 88.02
verified: no, type: recall_at_5
value: 92.378
verified: no, type: main_score
value: 89.035
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB RedditClustering
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
split: test
type: mteb/reddit-clustering
metrics: type: main_score
value: 71.0984522742521
verified: no, type: v_measure
value: 71.0984522742521
verified: no, type: v_measure_std
value: 3.5668139917058044
verified: no
task: type: Clustering, dataset: config: default
name: MTEB RedditClusteringP2P
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
split: test
type: mteb/reddit-clustering-p2p
metrics: type: main_score
value: 74.94499641904133
verified: no, type: v_measure
value: 74.94499641904133
verified: no, type: v_measure_std
value: 11.419672879389248
verified: no
task: type: Clustering, dataset: config: default
name: MTEB SCIDOCS
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
split: test
type: mteb/scidocs
metrics: type: map_at_1
value: 5.343
verified: no, type: map_at_10
value: 13.044
verified: no, type: map_at_100
value: 15.290999999999999
verified: no, type: map_at_1000
value: 15.609
verified: no, type: map_at_3
value: 9.227
verified: no, type: map_at_5
value: 11.158
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 26.3
verified: no, type: ndcg_at_10
value: 21.901
verified: no, type: ndcg_at_100
value: 30.316
verified: no, type: ndcg_at_1000
value: 35.547000000000004
verified: no, type: ndcg_at_3
value: 20.560000000000002
verified: no, type: ndcg_at_5
value: 18.187
verified: no, type: precision_at_1
value: 26.3
verified: no, type: precision_at_10
value: 11.34
verified: no, type: precision_at_100
value: 2.344
verified: no, type: precision_at_1000
value: 0.359
verified: no, type: precision_at_3
value: 18.967
verified: no, type: precision_at_5
value: 15.920000000000002
verified: no, type: recall_at_1
value: 5.343
verified: no, type: recall_at_10
value: 22.997
verified: no, type: recall_at_100
value: 47.562
verified: no, type: recall_at_1000
value: 72.94500000000001
verified: no, type: recall_at_3
value: 11.533
verified: no, type: recall_at_5
value: 16.148
verified: no, type: main_score
value: 21.901
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SICK-R
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
split: test
type: mteb/sickr-sts
metrics: type: cosine_pearson
value: 87.3054603493591
verified: no, type: cosine_spearman
value: 82.14763206055602
verified: no, type: manhattan_pearson
value: 84.78737790237557
verified: no, type: manhattan_spearman
value: 81.88455356002758
verified: no, type: euclidean_pearson
value: 85.00668629311117
verified: no, type: euclidean_spearman
value: 82.14763037860851
verified: no, type: main_score
value: 82.14763206055602
verified: no
task: type: STS, dataset: config: default
name: MTEB STS12
revision: a0d554a64d88156834ff5ae9920b964011b16384
split: test
type: mteb/sts12-sts
metrics: type: cosine_pearson
value: 86.6911864687294
verified: no, type: cosine_spearman
value: 77.89286260403269
verified: no, type: manhattan_pearson
value: 82.87240347680857
verified: no, type: manhattan_spearman
value: 78.10055393740326
verified: no, type: euclidean_pearson
value: 82.72282535777123
verified: no, type: euclidean_spearman
value: 77.89256648406325
verified: no, type: main_score
value: 77.89286260403269
verified: no
task: type: STS, dataset: config: default
name: MTEB STS13
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
split: test
type: mteb/sts13-sts
metrics: type: cosine_pearson
value: 87.7220832598633
verified: no, type: cosine_spearman
value: 88.30238972017452
verified: no, type: manhattan_pearson
value: 87.88214789140248
verified: no, type: manhattan_spearman
value: 88.24770220032391
verified: no, type: euclidean_pearson
value: 87.98610386257103
verified: no, type: euclidean_spearman
value: 88.30238972017452
verified: no, type: main_score
value: 88.30238972017452
verified: no
task: type: STS, dataset: config: default
name: MTEB STS14
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
split: test
type: mteb/sts14-sts
metrics: type: cosine_pearson
value: 85.70614623247714
verified: no, type: cosine_spearman
value: 84.29920990970672
verified: no, type: manhattan_pearson
value: 84.9836190531721
verified: no, type: manhattan_spearman
value: 84.40933470597638
verified: no, type: euclidean_pearson
value: 84.96652336693347
verified: no, type: euclidean_spearman
value: 84.29920989531965
verified: no, type: main_score
value: 84.29920990970672
verified: no
task: type: STS, dataset: config: default
name: MTEB STS15
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
split: test
type: mteb/sts15-sts
metrics: type: cosine_pearson
value: 88.4169972425264
verified: no, type: cosine_spearman
value: 89.03555007807218
verified: no, type: manhattan_pearson
value: 88.83068699455478
verified: no, type: manhattan_spearman
value: 89.21877175674125
verified: no, type: euclidean_pearson
value: 88.7251052947544
verified: no, type: euclidean_spearman
value: 89.03557389893083
verified: no, type: main_score
value: 89.03555007807218
verified: no
task: type: STS, dataset: config: default
name: MTEB STS16
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
split: test
type: mteb/sts16-sts
metrics: type: cosine_pearson
value: 85.63830579034632
verified: no, type: cosine_spearman
value: 86.77353371581373
verified: no, type: manhattan_pearson
value: 86.24830492396637
verified: no, type: manhattan_spearman
value: 86.96754348626189
verified: no, type: euclidean_pearson
value: 86.09837038778359
verified: no, type: euclidean_spearman
value: 86.77353371581373
verified: no, type: main_score
value: 86.77353371581373
verified: no
task: type: STS, dataset: config: en-en
name: MTEB STS17 (en-en)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cosine_pearson
value: 91.2204675588959
verified: no, type: cosine_spearman
value: 90.66976712249057
verified: no, type: manhattan_pearson
value: 91.11007808242346
verified: no, type: manhattan_spearman
value: 90.51739232964488
verified: no, type: euclidean_pearson
value: 91.19588941007903
verified: no, type: euclidean_spearman
value: 90.66976712249057
verified: no, type: main_score
value: 90.66976712249057
verified: no
task: type: STS, dataset: config: en
name: MTEB STS22 (en)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 69.34416749707114
verified: no, type: cosine_spearman
value: 68.11632448161046
verified: no, type: manhattan_pearson
value: 68.99243488935281
verified: no, type: manhattan_spearman
value: 67.8398546438258
verified: no, type: euclidean_pearson
value: 69.06376010216088
verified: no, type: euclidean_spearman
value: 68.11632448161046
verified: no, type: main_score
value: 68.11632448161046
verified: no
task: type: STS, dataset: config: default
name: MTEB STSBenchmark
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
split: test
type: mteb/stsbenchmark-sts
metrics: type: cosine_pearson
value: 88.10309739429758
verified: no, type: cosine_spearman
value: 88.40520383147418
verified: no, type: manhattan_pearson
value: 88.50753383813232
verified: no, type: manhattan_spearman
value: 88.66382629460927
verified: no, type: euclidean_pearson
value: 88.35050664609376
verified: no, type: euclidean_spearman
value: 88.40520383147418
verified: no, type: main_score
value: 88.40520383147418
verified: no
task: type: STS, dataset: config: default
name: MTEB SciDocsRR
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
split: test
type: mteb/scidocs-reranking
metrics: type: map
value: 87.58627126942797
verified: no, type: mrr
value: 97.01098103058887
verified: no, type: main_score
value: 87.58627126942797
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SciFact
revision: 0228b52cf27578f30900b9e5271d331663a030d7
split: test
type: mteb/scifact
metrics: type: map_at_1
value: 62.883
verified: no, type: map_at_10
value: 75.371
verified: no, type: map_at_100
value: 75.66000000000001
verified: no, type: map_at_1000
value: 75.667
verified: no, type: map_at_3
value: 72.741
verified: no, type: map_at_5
value: 74.74
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 66
verified: no, type: ndcg_at_10
value: 80.12700000000001
verified: no, type: ndcg_at_100
value: 81.291
verified: no, type: ndcg_at_1000
value: 81.464
verified: no, type: ndcg_at_3
value: 76.19
verified: no, type: ndcg_at_5
value: 78.827
verified: no, type: precision_at_1
value: 66
verified: no, type: precision_at_10
value: 10.567
verified: no, type: precision_at_100
value: 1.117
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 30.333
verified: no, type: precision_at_5
value: 20.133000000000003
verified: no, type: recall_at_1
value: 62.883
verified: no, type: recall_at_10
value: 93.556
verified: no, type: recall_at_100
value: 98.667
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 83.322
verified: no, type: recall_at_5
value: 89.756
verified: no, type: main_score
value: 80.12700000000001
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SprintDuplicateQuestions
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
split: test
type: mteb/sprintduplicatequestions-pairclassification
metrics: type: cos_sim_accuracy
value: 99.87524752475248
verified: no, type: cos_sim_accuracy_threshold
value: 74.86587762832642
verified: no, type: cos_sim_ap
value: 97.02222446606328
verified: no, type: cos_sim_f1
value: 93.66197183098592
verified: no, type: cos_sim_f1_threshold
value: 74.74223375320435
verified: no, type: cos_sim_precision
value: 94.23076923076923
verified: no, type: cos_sim_recall
value: 93.10000000000001
verified: no, type: dot_accuracy
value: 99.87524752475248
verified: no, type: dot_accuracy_threshold
value: 74.86587762832642
verified: no, type: dot_ap
value: 97.02222688043362
verified: no, type: dot_f1
value: 93.66197183098592
verified: no, type: dot_f1_threshold
value: 74.74223375320435
verified: no, type: dot_precision
value: 94.23076923076923
verified: no, type: dot_recall
value: 93.10000000000001
verified: no, type: euclidean_accuracy
value: 99.87524752475248
verified: no, type: euclidean_accuracy_threshold
value: 70.9000825881958
verified: no, type: euclidean_ap
value: 97.02222446606329
verified: no, type: euclidean_f1
value: 93.66197183098592
verified: no, type: euclidean_f1_threshold
value: 71.07426524162292
verified: no, type: euclidean_precision
value: 94.23076923076923
verified: no, type: euclidean_recall
value: 93.10000000000001
verified: no, type: manhattan_accuracy
value: 99.87623762376238
verified: no, type: manhattan_accuracy_threshold
value: 3588.5040283203125
verified: no, type: manhattan_ap
value: 97.09194643777883
verified: no, type: manhattan_f1
value: 93.7375745526839
verified: no, type: manhattan_f1_threshold
value: 3664.3760681152344
verified: no, type: manhattan_precision
value: 93.18181818181817
verified: no, type: manhattan_recall
value: 94.3
verified: no, type: max_accuracy
value: 99.87623762376238
verified: no, type: max_ap
value: 97.09194643777883
verified: no, type: max_f1
value: 93.7375745526839
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB StackExchangeClustering
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
split: test
type: mteb/stackexchange-clustering
metrics: type: main_score
value: 82.10134099988541
verified: no, type: v_measure
value: 82.10134099988541
verified: no, type: v_measure_std
value: 2.7926349897769533
verified: no
task: type: Clustering, dataset: config: default
name: MTEB StackExchangeClusteringP2P
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
split: test
type: mteb/stackexchange-clustering-p2p
metrics: type: main_score
value: 48.357450742397404
verified: no, type: v_measure
value: 48.357450742397404
verified: no, type: v_measure_std
value: 1.520118876440547
verified: no
task: type: Clustering, dataset: config: default
name: MTEB StackOverflowDupQuestions
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
split: test
type: mteb/stackoverflowdupquestions-reranking
metrics: type: map
value: 55.79277200802986
verified: no, type: mrr
value: 56.742517082590616
verified: no, type: main_score
value: 55.79277200802986
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SummEval
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
split: test
type: mteb/summeval
metrics: type: cosine_spearman
value: 30.701215774712693
verified: no, type: cosine_pearson
value: 31.26740037278488
verified: no, type: dot_spearman
value: 30.701215774712693
verified: no, type: dot_pearson
value: 31.267404144879997
verified: no, type: main_score
value: 30.701215774712693
verified: no
task: type: Summarization, dataset: config: default
name: MTEB TRECCOVID
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
split: test
type: mteb/trec-covid
metrics: type: map_at_1
value: 0.23800000000000002
verified: no, type: map_at_10
value: 2.31
verified: no, type: map_at_100
value: 15.495000000000001
verified: no, type: map_at_1000
value: 38.829
verified: no, type: map_at_3
value: 0.72
verified: no, type: map_at_5
value: 1.185
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 91
verified: no, type: ndcg_at_10
value: 88.442
verified: no, type: ndcg_at_100
value: 71.39
verified: no, type: ndcg_at_1000
value: 64.153
verified: no, type: ndcg_at_3
value: 89.877
verified: no, type: ndcg_at_5
value: 89.562
verified: no, type: precision_at_1
value: 92
verified: no, type: precision_at_10
value: 92.60000000000001
verified: no, type: precision_at_100
value: 73.74000000000001
verified: no, type: precision_at_1000
value: 28.222
verified: no, type: precision_at_3
value: 94
verified: no, type: precision_at_5
value: 93.60000000000001
verified: no, type: recall_at_1
value: 0.23800000000000002
verified: no, type: recall_at_10
value: 2.428
verified: no, type: recall_at_100
value: 18.099999999999998
verified: no, type: recall_at_1000
value: 60.79599999999999
verified: no, type: recall_at_3
value: 0.749
verified: no, type: recall_at_5
value: 1.238
verified: no, type: main_score
value: 88.442
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB Touche2020
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
split: test
type: mteb/touche2020
metrics: type: map_at_1
value: 3.4939999999999998
verified: no, type: map_at_10
value: 12.531999999999998
verified: no, type: map_at_100
value: 19.147
verified: no, type: map_at_1000
value: 20.861
verified: no, type: map_at_3
value: 7.558
verified: no, type: map_at_5
value: 9.49
verified: no, type: mrr_at_1
value: 0
verified: no, type: mrr_at_10
value: 0
verified: no, type: mrr_at_100
value: 0
verified: no, type: mrr_at_1000
value: 0
verified: no, type: mrr_at_3
value: 0
verified: no, type: mrr_at_5
value: 0
verified: no, type: ndcg_at_1
value: 47.959
verified: no, type: ndcg_at_10
value: 31.781
verified: no, type: ndcg_at_100
value: 42.131
verified: no, type: ndcg_at_1000
value: 53.493
verified: no, type: ndcg_at_3
value: 39.204
verified: no, type: ndcg_at_5
value: 34.635
verified: no, type: precision_at_1
value: 48.980000000000004
verified: no, type: precision_at_10
value: 27.143
verified: no, type: precision_at_100
value: 8.224
verified: no, type: precision_at_1000
value: 1.584
verified: no, type: precision_at_3
value: 38.775999999999996
verified: no, type: precision_at_5
value: 33.061
verified: no, type: recall_at_1
value: 3.4939999999999998
verified: no, type: recall_at_10
value: 18.895
verified: no, type: recall_at_100
value: 50.192
verified: no, type: recall_at_1000
value: 85.167
verified: no, type: recall_at_3
value: 8.703
verified: no, type: recall_at_5
value: 11.824
verified: no, type: main_score
value: 31.781
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ToxicConversationsClassification
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
split: test
type: mteb/toxic_conversations_50k
metrics: type: accuracy
value: 92.7402
verified: no, type: accuracy_stderr
value: 1.020764595781027
verified: no, type: ap
value: 44.38594756333084
verified: no, type: ap_stderr
value: 1.817150701258273
verified: no, type: f1
value: 79.95699280019547
verified: no, type: f1_stderr
value: 1.334582498702029
verified: no, type: main_score
value: 92.7402
verified: no
task: type: Classification, dataset: config: default
name: MTEB TweetSentimentExtractionClassification
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
split: test
type: mteb/tweet_sentiment_extraction
metrics: type: accuracy
value: 80.86870401810978
verified: no, type: accuracy_stderr
value: 0.22688467782004712
verified: no, type: f1
value: 81.1829040745744
verified: no, type: f1_stderr
value: 0.19774920574849694
verified: no, type: main_score
value: 80.86870401810978
verified: no
task: type: Classification, dataset: config: default
name: MTEB TwentyNewsgroupsClustering
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
split: test
type: mteb/twentynewsgroups-clustering
metrics: type: main_score
value: 64.82048869927482
verified: no, type: v_measure
value: 64.82048869927482
verified: no, type: v_measure_std
value: 0.9170394252450564
verified: no
task: type: Clustering, dataset: config: default
name: MTEB TwitterSemEval2015
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
split: test
type: mteb/twittersemeval2015-pairclassification
metrics: type: cos_sim_accuracy
value: 88.44251057996067
verified: no, type: cos_sim_accuracy_threshold
value: 70.2150285243988
verified: no, type: cos_sim_ap
value: 81.11422351199913
verified: no, type: cos_sim_f1
value: 73.71062868615887
verified: no, type: cos_sim_f1_threshold
value: 66.507488489151
verified: no, type: cos_sim_precision
value: 70.2799712849964
verified: no, type: cos_sim_recall
value: 77.4934036939314
verified: no, type: dot_accuracy
value: 88.44251057996067
verified: no, type: dot_accuracy_threshold
value: 70.2150285243988
verified: no, type: dot_ap
value: 81.11420529068658
verified: no, type: dot_f1
value: 73.71062868615887
verified: no, type: dot_f1_threshold
value: 66.50749444961548
verified: no, type: dot_precision
value: 70.2799712849964
verified: no, type: dot_recall
value: 77.4934036939314
verified: no, type: euclidean_accuracy
value: 88.44251057996067
verified: no, type: euclidean_accuracy_threshold
value: 77.18156576156616
verified: no, type: euclidean_ap
value: 81.11422421732487
verified: no, type: euclidean_f1
value: 73.71062868615887
verified: no, type: euclidean_f1_threshold
value: 81.84436559677124
verified: no, type: euclidean_precision
value: 70.2799712849964
verified: no, type: euclidean_recall
value: 77.4934036939314
verified: no, type: manhattan_accuracy
value: 88.26369434344639
verified: no, type: manhattan_accuracy_threshold
value: 3837.067413330078
verified: no, type: manhattan_ap
value: 80.81442360477725
verified: no, type: manhattan_f1
value: 73.39883099117024
verified: no, type: manhattan_f1_threshold
value: 4098.833847045898
verified: no, type: manhattan_precision
value: 69.41896024464832
verified: no, type: manhattan_recall
value: 77.86279683377309
verified: no, type: max_accuracy
value: 88.44251057996067
verified: no, type: max_ap
value: 81.11422421732487
verified: no, type: max_f1
value: 73.71062868615887
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB TwitterURLCorpus
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
split: test
type: mteb/twitterurlcorpus-pairclassification
metrics: type: cos_sim_accuracy
value: 90.03182365040556
verified: no, type: cos_sim_accuracy_threshold
value: 64.46443796157837
verified: no, type: cos_sim_ap
value: 87.86649113691112
verified: no, type: cos_sim_f1
value: 80.45644844577821
verified: no, type: cos_sim_f1_threshold
value: 61.40774488449097
verified: no, type: cos_sim_precision
value: 77.54052702992216
verified: no, type: cos_sim_recall
value: 83.60024638127503
verified: no, type: dot_accuracy
value: 90.03182365040556
verified: no, type: dot_accuracy_threshold
value: 64.46444988250732
verified: no, type: dot_ap
value: 87.86649011954319
verified: no, type: dot_f1
value: 80.45644844577821
verified: no, type: dot_f1_threshold
value: 61.407750844955444
verified: no, type: dot_precision
value: 77.54052702992216
verified: no, type: dot_recall
value: 83.60024638127503
verified: no, type: euclidean_accuracy
value: 90.03182365040556
verified: no, type: euclidean_accuracy_threshold
value: 84.30368900299072
verified: no, type: euclidean_ap
value: 87.86649114275045
verified: no, type: euclidean_f1
value: 80.45644844577821
verified: no, type: euclidean_f1_threshold
value: 87.8547191619873
verified: no, type: euclidean_precision
value: 77.54052702992216
verified: no, type: euclidean_recall
value: 83.60024638127503
verified: no, type: manhattan_accuracy
value: 89.99883572010712
verified: no, type: manhattan_accuracy_threshold
value: 4206.838607788086
verified: no, type: manhattan_ap
value: 87.8600826607838
verified: no, type: manhattan_f1
value: 80.44054508120217
verified: no, type: manhattan_f1_threshold
value: 4372.755432128906
verified: no, type: manhattan_precision
value: 78.08219178082192
verified: no, type: manhattan_recall
value: 82.94579611949491
verified: no, type: max_accuracy
value: 90.03182365040556
verified: no, type: max_ap
value: 87.86649114275045
verified: no, type: max_f1
value: 80.45644844577821
verified: no
task: type: PairClassification
language: en
license: cc-by-nc-4.0
library_name: transformers
Likes: 496 | All-time downloads: 1772111
Created: 2024-08-29 13:00:32