Model: vprelovac/universal-sentence-encoder-4
Author: vprelovac
Tags: mteb, model-index, region:us
Card metadata: tags: mteb
model-index: name: universal-sentence-encoder-4
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 70.67164179104478
verified: no, type: ap
value: 32.834763426716584
verified: no, type: f1
value: 64.42714654873818
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 67.73207500000001
verified: no, type: ap
value: 62.47524029220297
verified: no, type: f1
value: 67.48570902687877
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: 32.62
verified: no, type: f1
value: 32.13548057908922
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: 35.12555128655114
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: 23.456590839508902
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: 64.7357059982867
verified: no, type: cos_sim_spearman
value: 63.37975740377988
verified: no, type: euclidean_pearson
value: 63.49896800825232
verified: no, type: euclidean_spearman
value: 63.37975740377988
verified: no, type: manhattan_pearson
value: 64.00838198208166
verified: no, type: manhattan_spearman
value: 63.31710537380123
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 74.12012987012989
verified: no, type: f1
value: 73.23976030012078
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: 31.169576856541603
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: 18.81055418061209
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 38.64000000000001
verified: no, type: f1
value: 35.09699868913662
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 68.43239999999999
verified: no, type: ap
value: 62.76719976357937
verified: no, type: f1
value: 68.3208799558774
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 90.11627906976744
verified: no, type: f1
value: 89.69218132313695
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 64.9954400364797
verified: no, type: f1
value: 46.61477433032086
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: 67.23268325487558
verified: no, type: f1
value: 64.41484453213448
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: 72.78749159381303
verified: no, type: f1
value: 71.69036260308698
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: 28.88138682114816
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: 23.311493283906064
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 49.71559043766936
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: 57.91704617095672
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: 77.38041457279672
verified: no, type: cos_sim_spearman
value: 69.79282361714223
verified: no, type: euclidean_pearson
value: 74.02315074475364
verified: no, type: euclidean_spearman
value: 69.79282304260158
verified: no, type: manhattan_pearson
value: 73.01688608657159
verified: no, type: manhattan_spearman
value: 68.22940563625058
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: 72.58420052741107
verified: no, type: cos_sim_spearman
value: 67.05792005966953
verified: no, type: euclidean_pearson
value: 68.35629372749483
verified: no, type: euclidean_spearman
value: 67.05773819854602
verified: no, type: manhattan_pearson
value: 67.12625747442266
verified: no, type: manhattan_spearman
value: 65.7252617197503
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: 69.55548148750847
verified: no, type: cos_sim_spearman
value: 71.54484814980987
verified: no, type: euclidean_pearson
value: 71.22072782671158
verified: no, type: euclidean_spearman
value: 71.54484814980987
verified: no, type: manhattan_pearson
value: 70.3490839338159
verified: no, type: manhattan_spearman
value: 70.76414952692804
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: 73.74818660795891
verified: no, type: cos_sim_spearman
value: 70.59138342620027
verified: no, type: euclidean_pearson
value: 72.60887534657319
verified: no, type: euclidean_spearman
value: 70.5913727471932
verified: no, type: manhattan_pearson
value: 71.95704368086712
verified: no, type: manhattan_spearman
value: 69.58620240967204
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: 79.6360473168554
verified: no, type: cos_sim_spearman
value: 80.26596000690931
verified: no, type: euclidean_pearson
value: 79.82176999472074
verified: no, type: euclidean_spearman
value: 80.26596000690931
verified: no, type: manhattan_pearson
value: 78.94486463380255
verified: no, type: manhattan_spearman
value: 79.20674341072848
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: 74.84322872565855
verified: no, type: cos_sim_spearman
value: 75.75894131062728
verified: no, type: euclidean_pearson
value: 75.5333191548161
verified: no, type: euclidean_spearman
value: 75.75894090191032
verified: no, type: manhattan_pearson
value: 74.96648591478875
verified: no, type: manhattan_spearman
value: 75.07346800275856
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: 83.79136005773537
verified: no, type: cos_sim_spearman
value: 84.94411992446793
verified: no, type: euclidean_pearson
value: 83.60843297866558
verified: no, type: euclidean_spearman
value: 84.94411992446793
verified: no, type: manhattan_pearson
value: 82.81698401022742
verified: no, type: manhattan_spearman
value: 84.02022263657062
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: 60.02909344132073
verified: no, type: cos_sim_spearman
value: 60.000369508382704
verified: no, type: euclidean_pearson
value: 61.54466129341342
verified: no, type: euclidean_spearman
value: 60.000369508382704
verified: no, type: manhattan_pearson
value: 58.76127065249476
verified: no, type: manhattan_spearman
value: 58.08063159428285
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: 78.72737325889034
verified: no, type: cos_sim_spearman
value: 77.08420739421672
verified: no, type: euclidean_pearson
value: 77.85606384422326
verified: no, type: euclidean_spearman
value: 77.08420739421672
verified: no, type: manhattan_pearson
value: 76.63643674764234
verified: no, type: manhattan_spearman
value: 75.68141928725497
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: 99.61980198019802
verified: no, type: cos_sim_ap
value: 86.36827719686161
verified: no, type: cos_sim_f1
value: 80.35625927758537
verified: no, type: cos_sim_precision
value: 79.52987267384917
verified: no, type: cos_sim_recall
value: 81.2
verified: no, type: dot_accuracy
value: 99.61980198019802
verified: no, type: dot_ap
value: 86.36827719686161
verified: no, type: dot_f1
value: 80.35625927758537
verified: no, type: dot_precision
value: 79.52987267384917
verified: no, type: dot_recall
value: 81.2
verified: no, type: euclidean_accuracy
value: 99.61980198019802
verified: no, type: euclidean_ap
value: 86.3682771543572
verified: no, type: euclidean_f1
value: 80.35625927758537
verified: no, type: euclidean_precision
value: 79.52987267384917
verified: no, type: euclidean_recall
value: 81.2
verified: no, type: manhattan_accuracy
value: 99.63564356435643
verified: no, type: manhattan_ap
value: 87.12233265654545
verified: no, type: manhattan_f1
value: 80.78920041536864
verified: no, type: manhattan_precision
value: 84.01727861771057
verified: no, type: manhattan_recall
value: 77.8
verified: no, type: max_accuracy
value: 99.63564356435643
verified: no, type: max_ap
value: 87.12233265654545
verified: no, type: max_f1
value: 80.78920041536864
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 54.64344160961463
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: 31.57666192425415
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 29.77545231337259
verified: no, type: cos_sim_spearman
value: 29.420072483158698
verified: no, type: dot_pearson
value: 29.775453888622426
verified: no, type: dot_spearman
value: 29.420072483158698
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 68.98920000000001
verified: no, type: ap
value: 12.803310864930856
verified: no, type: f1
value: 52.67881359079218
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 57.00622524052065
verified: no, type: f1
value: 57.2232294145327
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 38.23134611732841
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: 82.25546879656673
verified: no, type: cos_sim_ap
value: 60.64429023120581
verified: no, type: cos_sim_f1
value: 57.75789091788608
verified: no, type: cos_sim_precision
value: 53.31547220361688
verified: no, type: cos_sim_recall
value: 63.007915567282325
verified: no, type: dot_accuracy
value: 82.25546879656673
verified: no, type: dot_ap
value: 60.64428864700383
verified: no, type: dot_f1
value: 57.75789091788608
verified: no, type: dot_precision
value: 53.31547220361688
verified: no, type: dot_recall
value: 63.007915567282325
verified: no, type: euclidean_accuracy
value: 82.25546879656673
verified: no, type: euclidean_ap
value: 60.64429357965402
verified: no, type: euclidean_f1
value: 57.75789091788608
verified: no, type: euclidean_precision
value: 53.31547220361688
verified: no, type: euclidean_recall
value: 63.007915567282325
verified: no, type: manhattan_accuracy
value: 82.14221851344102
verified: no, type: manhattan_ap
value: 59.542389876094134
verified: no, type: manhattan_f1
value: 56.935892792466504
verified: no, type: manhattan_precision
value: 52.48163810371689
verified: no, type: manhattan_recall
value: 62.21635883905014
verified: no, type: max_accuracy
value: 82.25546879656673
verified: no, type: max_ap
value: 60.64429357965402
verified: no, type: max_f1
value: 57.75789091788608
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: 86.99305312997244
verified: no, type: cos_sim_ap
value: 81.6822772881566
verified: no, type: cos_sim_f1
value: 73.70381406436233
verified: no, type: cos_sim_precision
value: 71.38528138528139
verified: no, type: cos_sim_recall
value: 76.17801047120419
verified: no, type: dot_accuracy
value: 86.99305312997244
verified: no, type: dot_ap
value: 81.6822783032573
verified: no, type: dot_f1
value: 73.70381406436233
verified: no, type: dot_precision
value: 71.38528138528139
verified: no, type: dot_recall
value: 76.17801047120419
verified: no, type: euclidean_accuracy
value: 86.99305312997244
verified: no, type: euclidean_ap
value: 81.68228020882522
verified: no, type: euclidean_f1
value: 73.70381406436233
verified: no, type: euclidean_precision
value: 71.38528138528139
verified: no, type: euclidean_recall
value: 76.17801047120419
verified: no, type: manhattan_accuracy
value: 86.84557767687352
verified: no, type: manhattan_ap
value: 81.3912803407899
verified: no, type: manhattan_f1
value: 73.48302793631723
verified: no, type: manhattan_precision
value: 71.71650542362944
verified: no, type: manhattan_recall
value: 75.33877425315676
verified: no, type: max_accuracy
value: 86.99305312997244
verified: no, type: max_ap
value: 81.68228020882522
verified: no, type: max_f1
value: 73.70381406436233
verified: no
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Created: 2023-04-24 03:23:43