Model: dmlls/all-mpnet-base-v2-negation
Author: dmlls
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, safetensors, mpnet, feature-extraction, sentence-similarity, en, dataset:s2orc, dataset:flax-sentence-embeddings/stackexchange_xml, dataset:ms_marco, dataset:gooaq, dataset:yahoo_answers_topics, dataset:code_search_net, dataset:search_qa, dataset:eli5, dataset:snli, dataset:multi_nli, dataset:wikihow, dataset:natural_questions, dataset:trivia_qa, dataset:embedding-data/sentence-compression, dataset:embedding-data/flickr30k-captions, dataset:embedding-data/altlex, dataset:embedding-data/simple-wiki, dataset:embedding-data/QQP, dataset:embedding-data/SPECTER, dataset:embedding-data/PAQ_pairs, dataset:embedding-data/WikiAnswers, dataset:tum-nlp/cannot-dataset, arxiv:2307.13989, license:apache-2.0, model-index, endpoints_compatible, deploy:azure, region:us
Card metadata: pipeline_tag: sentence-similarity
inference: yes
widget: source_sentence: That is a happy person.
sentences: That is a cheerful person., That is not a happy person., That is a sad person.
example_title: Example 1, source_sentence: I like rainy days because they make me feel relaxed.
sentences: I like rainy days because they make me feel chill., I don't like rainy days because they don't make me feel relaxed., I don't like rainy days because they make me feel stressed out.
example_title: Example 2, source_sentence: This model should work well with negations.
sentences: This model should work well with negated sentences., This model shouldn't work well with negations., This model should work terribly with negations.
example_title: Example 3
tags: sentence-transformers, feature-extraction, sentence-similarity
language: en
license: apache-2.0
datasets: s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq, yahoo_answers_topics, code_search_net, search_qa, eli5, snli, multi_nli, wikihow, natural_questions, trivia_qa, embedding-data/sentence-compression, embedding-data/flickr30k-captions, embedding-data/altlex, embedding-data/simple-wiki, embedding-data/QQP, embedding-data/SPECTER, embedding-data/PAQ_pairs, embedding-data/WikiAnswers, tum-nlp/cannot-dataset
model-index: name: all-mpnet-base-v2-negation
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 72.6268656716418
verified: no, type: ap
value: 36.40585820220466
verified: no, type: f1
value: 67.06383995428979
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 85.11834999999999
verified: no, type: ap
value: 79.72843246428603
verified: no, type: f1
value: 85.08938287851875
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: 37.788000000000004
verified: no, type: f1
value: 37.40475118737949
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 45.73138953773995
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: 39.13609863309245
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 65.56639026991134
verified: no, type: mrr
value: 77.8122938926263
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: 72.27098152643569
verified: no, type: cos_sim_spearman
value: 71.13475338373253
verified: no, type: euclidean_pearson
value: 70.48545151074218
verified: no, type: euclidean_spearman
value: 69.49917394727082
verified: no, type: manhattan_pearson
value: 69.2653740752147
verified: no, type: manhattan_spearman
value: 68.59192435931085
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 84.7012987012987
verified: no, type: f1
value: 84.61766470772943
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: 37.61314886948818
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: 34.496442588205205
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 45.63
verified: no, type: f1
value: 40.24119129248194
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 74.73479999999999
verified: no, type: ap
value: 68.80435332319863
verified: no, type: f1
value: 74.66014345440416
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.06429548563612
verified: no, type: f1
value: 92.91686969560733
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 78.19197446420428
verified: no, type: f1
value: 61.50020940946492
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 73.86684599865502
verified: no, type: f1
value: 72.11245795864379
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: 77.53866845998655
verified: no, type: f1
value: 77.51746806908895
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics: type: v_measure
value: 33.66744884855605
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: 31.951900966550262
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 29.34485636178124
verified: no, type: mrr
value: 30.118035109577022
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 47.14306531904168
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: 51.59878183893005
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: 78.5530506834234
verified: no, type: cos_sim_spearman
value: 77.45787185404667
verified: no, type: euclidean_pearson
value: 76.37727601604011
verified: no, type: euclidean_spearman
value: 77.14250754925013
verified: no, type: manhattan_pearson
value: 75.85855462882735
verified: no, type: manhattan_spearman
value: 76.6223895689777
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: 83.1019526956277
verified: no, type: cos_sim_spearman
value: 72.98362332123834
verified: no, type: euclidean_pearson
value: 78.42992808997602
verified: no, type: euclidean_spearman
value: 70.79569301491145
verified: no, type: manhattan_pearson
value: 77.96413528436207
verified: no, type: manhattan_spearman
value: 70.34707852104586
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: 85.09200805966644
verified: no, type: cos_sim_spearman
value: 85.52497834636847
verified: no, type: euclidean_pearson
value: 84.20407512505086
verified: no, type: euclidean_spearman
value: 85.35640946044332
verified: no, type: manhattan_pearson
value: 83.79425758102826
verified: no, type: manhattan_spearman
value: 84.9531731481683
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: 82.43419245577238
verified: no, type: cos_sim_spearman
value: 79.87215923164575
verified: no, type: euclidean_pearson
value: 80.99628882719712
verified: no, type: euclidean_spearman
value: 79.2671186335978
verified: no, type: manhattan_pearson
value: 80.47076166661054
verified: no, type: manhattan_spearman
value: 78.82329686631051
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: 84.67294508915346
verified: no, type: cos_sim_spearman
value: 85.34528695616378
verified: no, type: euclidean_pearson
value: 83.65270617275111
verified: no, type: euclidean_spearman
value: 84.64456096952591
verified: no, type: manhattan_pearson
value: 83.26416114783083
verified: no, type: manhattan_spearman
value: 84.26944094512996
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: 80.70172607906416
verified: no, type: cos_sim_spearman
value: 81.96031310316046
verified: no, type: euclidean_pearson
value: 82.34820192315314
verified: no, type: euclidean_spearman
value: 82.72576940549405
verified: no, type: manhattan_pearson
value: 81.93093910116202
verified: no, type: manhattan_spearman
value: 82.25431799152639
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: 90.43640731744911
verified: no, type: cos_sim_spearman
value: 90.16343998541602
verified: no, type: euclidean_pearson
value: 89.49834342254633
verified: no, type: euclidean_spearman
value: 90.17304989919288
verified: no, type: manhattan_pearson
value: 89.32424382015218
verified: no, type: manhattan_spearman
value: 89.91884845996768
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: 62.06205206393254
verified: no, type: cos_sim_spearman
value: 60.920792876665885
verified: no, type: euclidean_pearson
value: 60.49188637403393
verified: no, type: euclidean_spearman
value: 60.73500415357452
verified: no, type: manhattan_pearson
value: 59.94692152491976
verified: no, type: manhattan_spearman
value: 60.215426858338994
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 84.78948820087687
verified: no, type: cos_sim_spearman
value: 84.64531509697663
verified: no, type: euclidean_pearson
value: 84.77264321816324
verified: no, type: euclidean_spearman
value: 84.67485410196043
verified: no, type: manhattan_pearson
value: 84.43100272264775
verified: no, type: manhattan_spearman
value: 84.29254033404217
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 88.39411601972704
verified: no, type: mrr
value: 96.49192583016112
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: 99.55445544554455
verified: no, type: cos_sim_ap
value: 84.82462858434408
verified: no, type: cos_sim_f1
value: 76.11464968152866
verified: no, type: cos_sim_precision
value: 81.10859728506787
verified: no, type: cos_sim_recall
value: 71.7
verified: no, type: dot_accuracy
value: 99.48613861386139
verified: no, type: dot_ap
value: 80.97278220281665
verified: no, type: dot_f1
value: 72.2914669223394
verified: no, type: dot_precision
value: 69.42909760589319
verified: no, type: dot_recall
value: 75.4
verified: no, type: euclidean_accuracy
value: 99.56138613861386
verified: no, type: euclidean_ap
value: 85.21566333946467
verified: no, type: euclidean_f1
value: 76.60239708181345
verified: no, type: euclidean_precision
value: 79.97823721436343
verified: no, type: euclidean_recall
value: 73.5
verified: no, type: manhattan_accuracy
value: 99.55148514851486
verified: no, type: manhattan_ap
value: 84.49960192851891
verified: no, type: manhattan_f1
value: 75.9681697612732
verified: no, type: manhattan_precision
value: 80.90395480225989
verified: no, type: manhattan_recall
value: 71.6
verified: no, type: max_accuracy
value: 99.56138613861386
verified: no, type: max_ap
value: 85.21566333946467
verified: no, type: max_f1
value: 76.60239708181345
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 49.33929838947165
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: 31.523973661953686
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 52.22408767861519
verified: no, type: mrr
value: 53.16279921059333
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 28.128173244098726
verified: no, type: cos_sim_spearman
value: 30.149225143523662
verified: no, type: dot_pearson
value: 24.322914168643386
verified: no, type: dot_spearman
value: 26.38194545372431
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 67.6684
verified: no, type: ap
value: 12.681984793717413
verified: no, type: f1
value: 51.97637585601529
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 58.44086021505377
verified: no, type: f1
value: 58.68058329615692
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 44.226944341054015
verified: no, task: type: PairClassification
dataset: type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics: type: cos_sim_accuracy
value: 86.87488823985218
verified: no, type: cos_sim_ap
value: 76.85283892335002
verified: no, type: cos_sim_f1
value: 70.42042042042041
verified: no, type: cos_sim_precision
value: 66.96811042360781
verified: no, type: cos_sim_recall
value: 74.24802110817942
verified: no, type: dot_accuracy
value: 84.85426476724086
verified: no, type: dot_ap
value: 70.77036812650887
verified: no, type: dot_f1
value: 66.4901577069184
verified: no, type: dot_precision
value: 58.97488258117215
verified: no, type: dot_recall
value: 76.2005277044855
verified: no, type: euclidean_accuracy
value: 86.95833581689217
verified: no, type: euclidean_ap
value: 77.05903224969623
verified: no, type: euclidean_f1
value: 70.75323419175432
verified: no, type: euclidean_precision
value: 65.2979245704084
verified: no, type: euclidean_recall
value: 77.20316622691293
verified: no, type: manhattan_accuracy
value: 86.88084878106932
verified: no, type: manhattan_ap
value: 76.95056209047733
verified: no, type: manhattan_f1
value: 70.61542203843348
verified: no, type: manhattan_precision
value: 65.50090252707581
verified: no, type: manhattan_recall
value: 76.59630606860158
verified: no, type: max_accuracy
value: 86.95833581689217
verified: no, type: max_ap
value: 77.05903224969623
verified: no, type: max_f1
value: 70.75323419175432
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: 88.43870066363954
verified: no, type: cos_sim_ap
value: 84.77197321507954
verified: no, type: cos_sim_f1
value: 76.91440595175472
verified: no, type: cos_sim_precision
value: 75.11375311903713
verified: no, type: cos_sim_recall
value: 78.80351093316908
verified: no, type: dot_accuracy
value: 87.60624054022587
verified: no, type: dot_ap
value: 83.16574114504616
verified: no, type: dot_f1
value: 75.5050226294293
verified: no, type: dot_precision
value: 72.30953555571217
verified: no, type: dot_recall
value: 78.99599630428088
verified: no, type: euclidean_accuracy
value: 88.2951061435169
verified: no, type: euclidean_ap
value: 84.28559058741602
verified: no, type: euclidean_f1
value: 76.7921146953405
verified: no, type: euclidean_precision
value: 74.54334589736156
verified: no, type: euclidean_recall
value: 79.1807822605482
verified: no, type: manhattan_accuracy
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Likes: 1 | All-time downloads: 34625
Created: 2023-04-07 11:11:59