Model: vprelovac/universal-sentence-encoder-multilingual-large-3
Author: vprelovac
Tags: mteb, model-index, region:us
Card metadata: tags: mteb
model-index: name: universal-sentence-encoder-multilingual-large-3
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 70.80597014925372
verified: no, type: ap
value: 32.82048192776259
verified: no, type: f1
value: 64.5323001151201
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 67.04549999999999
verified: no, type: ap
value: 61.7344066191823
verified: no, type: f1
value: 66.66233213924507
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: 35.85
verified: no, type: f1
value: 35.332188148679464
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: 34.745135349238126
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: 22.620886813816306
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: 80.30945408208555
verified: no, type: cos_sim_spearman
value: 79.13734536677386
verified: no, type: euclidean_pearson
value: 78.92356402711572
verified: no, type: euclidean_spearman
value: 79.13734536677386
verified: no, type: manhattan_pearson
value: 79.0536298599996
verified: no, type: manhattan_spearman
value: 79.15240595090333
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 74.66883116883116
verified: no, type: f1
value: 73.79377347715479
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: 28.750702236182818
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: 20.142702408387194
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 42.30500000000001
verified: no, type: f1
value: 38.547388314307206
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 63.690000000000005
verified: no, type: ap
value: 59.157513278784734
verified: no, type: f1
value: 63.35865572988864
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 92.48062015503875
verified: no, type: f1
value: 92.14919344822017
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 70.26675786593708
verified: no, type: f1
value: 47.72003620900994
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: 69.04505716207129
verified: no, type: f1
value: 65.75319040584333
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: 75.80363147276395
verified: no, type: f1
value: 74.16118757920125
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: 31.197732425855694
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: 25.802309075396522
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 46.17008358584782
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: 56.53148530944687
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: 81.9794493404352
verified: no, type: cos_sim_spearman
value: 76.42957100142304
verified: no, type: euclidean_pearson
value: 78.82942656726047
verified: no, type: euclidean_spearman
value: 76.4295710840889
verified: no, type: manhattan_pearson
value: 78.13314706410813
verified: no, type: manhattan_spearman
value: 74.9822593004123
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: 80.7673081071098
verified: no, type: cos_sim_spearman
value: 74.24891322087522
verified: no, type: euclidean_pearson
value: 76.52411182468802
verified: no, type: euclidean_spearman
value: 74.24929140605082
verified: no, type: manhattan_pearson
value: 76.8324387036746
verified: no, type: manhattan_spearman
value: 74.53614579807713
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: 69.28614557615222
verified: no, type: cos_sim_spearman
value: 71.81704450585194
verified: no, type: euclidean_pearson
value: 71.1658590877318
verified: no, type: euclidean_spearman
value: 71.81704444201455
verified: no, type: manhattan_pearson
value: 71.36497478266207
verified: no, type: manhattan_spearman
value: 72.06541804714345
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: 74.87060297964618
verified: no, type: cos_sim_spearman
value: 71.3835314374386
verified: no, type: euclidean_pearson
value: 73.38159929423239
verified: no, type: euclidean_spearman
value: 71.38353144149953
verified: no, type: manhattan_pearson
value: 73.52351725668174
verified: no, type: manhattan_spearman
value: 71.51640478420119
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: 82.0540026051573
verified: no, type: cos_sim_spearman
value: 82.4705078026881
verified: no, type: euclidean_pearson
value: 81.93203207566977
verified: no, type: euclidean_spearman
value: 82.47050765607385
verified: no, type: manhattan_pearson
value: 81.95496687772686
verified: no, type: manhattan_spearman
value: 82.32489988477197
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: 76.11630455802185
verified: no, type: cos_sim_spearman
value: 77.53749233675596
verified: no, type: euclidean_pearson
value: 77.21678350170754
verified: no, type: euclidean_spearman
value: 77.53749219731857
verified: no, type: manhattan_pearson
value: 77.0111066160541
verified: no, type: manhattan_spearman
value: 77.19561900456223
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: 86.04867872683484
verified: no, type: cos_sim_spearman
value: 86.38343806077555
verified: no, type: euclidean_pearson
value: 86.62923572982524
verified: no, type: euclidean_spearman
value: 86.38343806077555
verified: no, type: manhattan_pearson
value: 85.88819314699656
verified: no, type: manhattan_spearman
value: 85.40841620897656
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: 50.81940075037091
verified: no, type: cos_sim_spearman
value: 52.853775517979265
verified: no, type: euclidean_pearson
value: 53.19987444831206
verified: no, type: euclidean_spearman
value: 52.853775517979265
verified: no, type: manhattan_pearson
value: 53.10152120352485
verified: no, type: manhattan_spearman
value: 52.882886362489124
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: 82.15848984078094
verified: no, type: cos_sim_spearman
value: 81.24223670044107
verified: no, type: euclidean_pearson
value: 81.80955840510725
verified: no, type: euclidean_spearman
value: 81.24224792494685
verified: no, type: manhattan_pearson
value: 81.20700319509191
verified: no, type: manhattan_spearman
value: 80.56078137874846
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: 99.71089108910891
verified: no, type: cos_sim_ap
value: 90.8870929231928
verified: no, type: cos_sim_f1
value: 85.3719420868697
verified: no, type: cos_sim_precision
value: 85.24426719840478
verified: no, type: cos_sim_recall
value: 85.5
verified: no, type: dot_accuracy
value: 99.71089108910891
verified: no, type: dot_ap
value: 90.88709292319278
verified: no, type: dot_f1
value: 85.3719420868697
verified: no, type: dot_precision
value: 85.24426719840478
verified: no, type: dot_recall
value: 85.5
verified: no, type: euclidean_accuracy
value: 99.71089108910891
verified: no, type: euclidean_ap
value: 90.8870929231928
verified: no, type: euclidean_f1
value: 85.3719420868697
verified: no, type: euclidean_precision
value: 85.24426719840478
verified: no, type: euclidean_recall
value: 85.5
verified: no, type: manhattan_accuracy
value: 99.72871287128713
verified: no, type: manhattan_ap
value: 91.50016707647607
verified: no, type: manhattan_f1
value: 86.21700879765396
verified: no, type: manhattan_precision
value: 84.32122370936902
verified: no, type: manhattan_recall
value: 88.2
verified: no, type: max_accuracy
value: 99.72871287128713
verified: no, type: max_ap
value: 91.50016707647607
verified: no, type: max_f1
value: 86.21700879765396
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 49.339384566987555
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: 33.39729645390336
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 30.459235703560942
verified: no, type: cos_sim_spearman
value: 29.710719599360587
verified: no, type: dot_pearson
value: 30.459236115198866
verified: no, type: dot_spearman
value: 29.714606257782066
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 68.223
verified: no, type: ap
value: 13.10327282975004
verified: no, type: f1
value: 52.52588280152648
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 59.18788907753254
verified: no, type: f1
value: 59.47679105840768
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 36.93253191095803
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: 83.37009000417238
verified: no, type: cos_sim_ap
value: 63.75973129735431
verified: no, type: cos_sim_f1
value: 59.62504595025121
verified: no, type: cos_sim_precision
value: 55.66231983527798
verified: no, type: cos_sim_recall
value: 64.1952506596306
verified: no, type: dot_accuracy
value: 83.37009000417238
verified: no, type: dot_ap
value: 63.759728820348414
verified: no, type: dot_f1
value: 59.62504595025121
verified: no, type: dot_precision
value: 55.66231983527798
verified: no, type: dot_recall
value: 64.1952506596306
verified: no, type: euclidean_accuracy
value: 83.37009000417238
verified: no, type: euclidean_ap
value: 63.75972622477462
verified: no, type: euclidean_f1
value: 59.62504595025121
verified: no, type: euclidean_precision
value: 55.66231983527798
verified: no, type: euclidean_recall
value: 64.1952506596306
verified: no, type: manhattan_accuracy
value: 83.28068188591524
verified: no, type: manhattan_ap
value: 63.109413220673375
verified: no, type: manhattan_f1
value: 59.085923217550274
verified: no, type: manhattan_precision
value: 54.903737259343146
verified: no, type: manhattan_recall
value: 63.95778364116095
verified: no, type: max_accuracy
value: 83.37009000417238
verified: no, type: max_ap
value: 63.75973129735431
verified: no, type: max_f1
value: 59.62504595025121
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: 88.34167733923235
verified: no, type: cos_sim_ap
value: 84.20066403502292
verified: no, type: cos_sim_f1
value: 76.64693381906498
verified: no, type: cos_sim_precision
value: 75.56869200838072
verified: no, type: cos_sim_recall
value: 77.75639051432091
verified: no, type: dot_accuracy
value: 88.34167733923235
verified: no, type: dot_ap
value: 84.20066476075668
verified: no, type: dot_f1
value: 76.64693381906498
verified: no, type: dot_precision
value: 75.56869200838072
verified: no, type: dot_recall
value: 77.75639051432091
verified: no, type: euclidean_accuracy
value: 88.34167733923235
verified: no, type: euclidean_ap
value: 84.20066533105057
verified: no, type: euclidean_f1
value: 76.64693381906498
verified: no, type: euclidean_precision
value: 75.56869200838072
verified: no, type: euclidean_recall
value: 77.75639051432091
verified: no, type: manhattan_accuracy
value: 88.32809407381535
verified: no, type: manhattan_ap
value: 84.17666758732113
verified: no, type: manhattan_f1
value: 76.6911654417279
verified: no, type: manhattan_precision
value: 74.75146198830409
verified: no, type: manhattan_recall
value: 78.73421619956883
verified: no, type: max_accuracy
value: 88.34167733923235
verified: no, type: max_ap
value: 84.20066533105057
verified: no, type: max_f1
value: 76.6911654417279
verified: no
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Created: 2023-04-23 16:49:28