Model: vprelovac/universal-sentence-encoder-large-5
Author: vprelovac
Tags: mteb, model-index, region:us
Card metadata: tags: mteb
model-index: name: universal-sentence-encoder-large-5
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 76.19402985074628
verified: no, type: ap
value: 39.249966888759666
verified: no, type: f1
value: 70.17510532980124
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 69.6285
verified: no, type: ap
value: 63.97317997322299
verified: no, type: f1
value: 69.48624121982243
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: 35.534
verified: no, type: f1
value: 34.974303844745194
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: 34.718110225806626
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: 25.267234486849127
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: 69.65040443392367
verified: no, type: cos_sim_spearman
value: 69.35579718635816
verified: no, type: euclidean_pearson
value: 68.74078260783044
verified: no, type: euclidean_spearman
value: 69.35579718635816
verified: no, type: manhattan_pearson
value: 68.97023207188357
verified: no, type: manhattan_spearman
value: 69.2063961917937
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 78.12987012987013
verified: no, type: f1
value: 77.40193921057201
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: 28.39184796722482
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: 20.5151608432177
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 45.48
verified: no, type: f1
value: 41.2632839288363
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 64.0552
verified: no, type: ap
value: 59.25851636836455
verified: no, type: f1
value: 63.90501571634165
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 92.94117647058823
verified: no, type: f1
value: 92.7110107115347
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 74.43456452348381
verified: no, type: f1
value: 52.53178214778298
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: 71.68796234028245
verified: no, type: f1
value: 68.47828954699564
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: 77.20242098184264
verified: no, type: f1
value: 76.27977367157321
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: 30.266855488757034
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: 24.580327378539057
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 56.928616405043684
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: 58.94536303256525
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: 82.43899708996477
verified: no, type: cos_sim_spearman
value: 76.84011555220044
verified: no, type: euclidean_pearson
value: 79.6116260676631
verified: no, type: euclidean_spearman
value: 76.84012073472658
verified: no, type: manhattan_pearson
value: 78.49980966442152
verified: no, type: manhattan_spearman
value: 75.49233078465171
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: 79.8291506264289
verified: no, type: cos_sim_spearman
value: 72.49093632759003
verified: no, type: euclidean_pearson
value: 75.42130137819414
verified: no, type: euclidean_spearman
value: 72.49048089395136
verified: no, type: manhattan_pearson
value: 74.17957476459091
verified: no, type: manhattan_spearman
value: 71.6143674273714
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: 70.91903439531401
verified: no, type: cos_sim_spearman
value: 73.65106317244273
verified: no, type: euclidean_pearson
value: 73.22383725261588
verified: no, type: euclidean_spearman
value: 73.65106317244273
verified: no, type: manhattan_pearson
value: 72.98314057093636
verified: no, type: manhattan_spearman
value: 73.52101907069579
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: 75.19632733755482
verified: no, type: cos_sim_spearman
value: 71.88328402076041
verified: no, type: euclidean_pearson
value: 74.02395011081532
verified: no, type: euclidean_spearman
value: 71.88328903479953
verified: no, type: manhattan_pearson
value: 73.52941749980135
verified: no, type: manhattan_spearman
value: 71.32905921324534
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: 82.42736501667461
verified: no, type: cos_sim_spearman
value: 82.89997148218205
verified: no, type: euclidean_pearson
value: 82.3189209945513
verified: no, type: euclidean_spearman
value: 82.89997089267106
verified: no, type: manhattan_pearson
value: 81.78597437071429
verified: no, type: manhattan_spearman
value: 82.21582873302081
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: 78.44968010602165
verified: no, type: cos_sim_spearman
value: 79.82626284236876
verified: no, type: euclidean_pearson
value: 79.4157474030238
verified: no, type: euclidean_spearman
value: 79.82626269881543
verified: no, type: manhattan_pearson
value: 79.13275737559012
verified: no, type: manhattan_spearman
value: 79.4847570398719
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: 84.51882547098218
verified: no, type: cos_sim_spearman
value: 85.19309361840223
verified: no, type: euclidean_pearson
value: 84.78417242196153
verified: no, type: euclidean_spearman
value: 85.19307726106497
verified: no, type: manhattan_pearson
value: 84.09108278425708
verified: no, type: manhattan_spearman
value: 84.13590986630149
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: 44.814384769251085
verified: no, type: cos_sim_spearman
value: 48.43949857027059
verified: no, type: euclidean_pearson
value: 47.479132435178855
verified: no, type: euclidean_spearman
value: 48.43949857027059
verified: no, type: manhattan_pearson
value: 47.16203934707649
verified: no, type: manhattan_spearman
value: 48.289920897667095
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: 81.25646447054616
verified: no, type: cos_sim_spearman
value: 79.93231051166357
verified: no, type: euclidean_pearson
value: 80.65225742476945
verified: no, type: euclidean_spearman
value: 79.93231051166357
verified: no, type: manhattan_pearson
value: 79.84341819764376
verified: no, type: manhattan_spearman
value: 79.07650150491334
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: 99.5910891089109
verified: no, type: cos_sim_ap
value: 84.37184771930944
verified: no, type: cos_sim_f1
value: 78.78787878787878
verified: no, type: cos_sim_precision
value: 80.99260823653644
verified: no, type: cos_sim_recall
value: 76.7
verified: no, type: dot_accuracy
value: 99.5910891089109
verified: no, type: dot_ap
value: 84.37184771930944
verified: no, type: dot_f1
value: 78.78787878787878
verified: no, type: dot_precision
value: 80.99260823653644
verified: no, type: dot_recall
value: 76.7
verified: no, type: euclidean_accuracy
value: 99.5910891089109
verified: no, type: euclidean_ap
value: 84.37185436709098
verified: no, type: euclidean_f1
value: 78.78787878787878
verified: no, type: euclidean_precision
value: 80.99260823653644
verified: no, type: euclidean_recall
value: 76.7
verified: no, type: manhattan_accuracy
value: 99.6108910891089
verified: no, type: manhattan_ap
value: 85.13355467581354
verified: no, type: manhattan_f1
value: 80.2788844621514
verified: no, type: manhattan_precision
value: 79.96031746031747
verified: no, type: manhattan_recall
value: 80.60000000000001
verified: no, type: max_accuracy
value: 99.6108910891089
verified: no, type: max_ap
value: 85.13355467581354
verified: no, type: max_f1
value: 80.2788844621514
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 60.8469558550317
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: 33.14392913702168
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 29.566148619704457
verified: no, type: cos_sim_spearman
value: 29.01201818902588
verified: no, type: dot_pearson
value: 29.566149876183374
verified: no, type: dot_spearman
value: 29.014046950422795
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 70.17420000000001
verified: no, type: ap
value: 13.49623412034604
verified: no, type: f1
value: 53.7079366494688
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 59.309564233163556
verified: no, type: f1
value: 59.33623172630094
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 42.42960819361032
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: 85.04500208618943
verified: no, type: cos_sim_ap
value: 70.12785509302904
verified: no, type: cos_sim_f1
value: 65.36573392243496
verified: no, type: cos_sim_precision
value: 61.10601193207894
verified: no, type: cos_sim_recall
value: 70.26385224274406
verified: no, type: dot_accuracy
value: 85.04500208618943
verified: no, type: dot_ap
value: 70.12785837450095
verified: no, type: dot_f1
value: 65.36573392243496
verified: no, type: dot_precision
value: 61.10601193207894
verified: no, type: dot_recall
value: 70.26385224274406
verified: no, type: euclidean_accuracy
value: 85.04500208618943
verified: no, type: euclidean_ap
value: 70.1278575285826
verified: no, type: euclidean_f1
value: 65.36573392243496
verified: no, type: euclidean_precision
value: 61.10601193207894
verified: no, type: euclidean_recall
value: 70.26385224274406
verified: no, type: manhattan_accuracy
value: 85.03308100375514
verified: no, type: manhattan_ap
value: 69.67192372362932
verified: no, type: manhattan_f1
value: 64.95726495726495
verified: no, type: manhattan_precision
value: 61.218771888862946
verified: no, type: manhattan_recall
value: 69.1820580474934
verified: no, type: max_accuracy
value: 85.04500208618943
verified: no, type: max_ap
value: 70.12785837450095
verified: no, type: max_f1
value: 65.36573392243496
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: 88.18644002018085
verified: no, type: cos_sim_ap
value: 84.09120337117118
verified: no, type: cos_sim_f1
value: 76.33478718604302
verified: no, type: cos_sim_precision
value: 74.59582598471486
verified: no, type: cos_sim_recall
value: 78.15676008623345
verified: no, type: dot_accuracy
value: 88.18644002018085
verified: no, type: dot_ap
value: 84.09120289232122
verified: no, type: dot_f1
value: 76.33478718604302
verified: no, type: dot_precision
value: 74.59582598471486
verified: no, type: dot_recall
value: 78.15676008623345
verified: no, type: euclidean_accuracy
value: 88.18644002018085
verified: no, type: euclidean_ap
value: 84.091202102378
verified: no, type: euclidean_f1
value: 76.33478718604302
verified: no, type: euclidean_precision
value: 74.59582598471486
verified: no, type: euclidean_recall
value: 78.15676008623345
verified: no, type: manhattan_accuracy
value: 88.19032095315714
verified: no, type: manhattan_ap
value: 84.0865561436236
verified: no, type: manhattan_f1
value: 76.16665422235496
verified: no, type: manhattan_precision
value: 73.93100449340484
verified: no, type: manhattan_recall
value: 78.54173082845703
verified: no, type: max_accuracy
value: 88.19032095315714
verified: no, type: max_ap
value: 84.09120337117118
verified: no, type: max_f1
value: 76.33478718604302
verified: no
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Created: 2023-04-24 03:23:54