Model: bobox/DeBERTa2-0.9B-ST-v2
Author: bobox
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, deberta-v2, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:99470, loss:CachedGISTEmbedLoss, en, dataset:tals/vitaminc, dataset:allenai/scitail, dataset:allenai/sciq, dataset:allenai/qasc, dataset:sentence-transformers/msmarco-msmarco-distilbert-base-v3, dataset:sentence-transformers/natural-questions, dataset:sentence-transformers/trivia-qa, dataset:sentence-transformers/gooaq, dataset:google-research-datasets/paws, arxiv:1908.10084, base_model:microsoft/deberta-v2-xlarge, base_model:finetune:microsoft/deberta-v2-xlarge, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/deberta-v2-xlarge
Card metadata: base_model: microsoft/deberta-v2-xlarge
datasets: tals/vitaminc, allenai/scitail, allenai/sciq, allenai/qasc, sentence-transformers/msmarco-msmarco-distilbert-base-v3, sentence-transformers/natural-questions, sentence-transformers/trivia-qa, sentence-transformers/gooaq, google-research-datasets/paws
language: en
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot, pearson_max, spearman_max, cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, dot_accuracy, dot_accuracy_threshold, dot_f1, dot_f1_threshold, dot_precision, dot_recall, dot_ap, manhattan_accuracy, manhattan_accuracy_threshold, manhattan_f1, manhattan_f1_threshold, manhattan_precision, manhattan_recall, manhattan_ap, euclidean_accuracy, euclidean_accuracy_threshold, euclidean_f1, euclidean_f1_threshold, euclidean_precision, euclidean_recall, euclidean_ap, max_accuracy, max_accuracy_threshold, max_f1, max_f1_threshold, max_precision, max_recall, max_ap
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:99470, loss:CachedGISTEmbedLoss
widget: source_sentence: what is the wisconsin idea
sentences: The Netherlands Time is in the Central European Time Zone . Central European Standard Time ( CET ) is 1 hours ahead of Greenwich Mean Time ( GMT+1 ). Like most states in Europe, Summer (Daylight-Saving) Time is observed in The Netherlands Time, where the time is shifted forward by 1 hour; 2 hours ahead of Greenwich Mean Time ( GMT+2 ). After the Summer months the time in The Netherlands Time is shifted back by 1 hour to Central European Time (CET) or ( GMT+1 ), Unless stated otherwise, these amounts are the total that is recommended for your dog over a 24 hour period. Most adult dogs should eat two meals a day (puppies often require three or more feedings), so youâll need to divide the amount in the table by the number of meals you are offering., McCarthy's book, The Wisconsin Idea, published in 1912, describes the major problems facing the country, some of the Progressive reforms already passed, and his guiding vision for the future. Library-Archives., source_sentence: More than 273 people have died from the 2019-20 coronavirus outside mainland China .
sentences: More than 3,700 people have died : around 3,100 in mainland China and around 550 in all other countries combined ., More than 3,200 people have died : almost 3,000 in mainland China and around 275 in other countries ., more than 4,900 deaths have been attributed to COVID-19 ., source_sentence: The planets orbit around the sun.
sentences: The planets orbit around what celestial body?, What are the high points in a transverse wave called?, After fertilization, how many cells does a zygote form into?, source_sentence: Cells are small biological structures that make up all living things, including the human body.
sentences: Of the three basic types of radioactive emissions, what particle is the most penetrating?, What small biological structures make up all living things, including the human body?, What cellular structure is used during endocytosis to allow molecules to enter the cell?, source_sentence: """Music of the Night"" and ""All I Ask of You"" are songs from which stage musical?"
sentences: Electric resistance unit conversion - SI derived quantity Electric resistance unit conversion - Discussion Forum ›› SI derived quantity: electric resistance This category of measurement units is defined by the "electric resistance" type, which is an SI derived quantity. ›› SI unit: ohm The SI derived unit for electric resistance is the ohm. ›› Convert ohm to another unit Convert ohm to I'm feeling lucky, show me some random units ›› Convert between two electric resistance units Convert   ›› Definition: Ohm The ohm (symbol: Ω) is the SI unit of electrical impedance or, in the direct current case, electrical resistance, named after Georg Ohm. It is defined as the resistance between two points of a conductor when a constant potential difference of 1 volt, applied to these points, produces in the conductor a current of 1 ampere, the conductor not being the seat of any electromotive force., All I Ask of You - YouTube All I Ask of You Want to watch this again later? Sign in to add this video to a playlist. Need to report the video? Sign in to report inappropriate content. Rating is available when the video has been rented. This feature is not available right now. Please try again later. Published on Jan 6, 2012 Twenty-second in a series of clips from the 2004 film version of The Phantom of the Opera. Performed by Patrick Wilson as Raoul and Emmy Rossum as Christine. For more Phantom, find us on Facebook: http://www.facebook.com/ThePhantomOfT... Or follow us on Twitter: http://www.twitter.com/TheOperaGhosts Or add us to your Google+ Circles: https://plus.google.com/1019282273838... Category, Beatles US Labels - Variations   THE CAPITOL ï¿½ APPLE    LABEL DISCOGRAPHY  In early 1964, Capitol Records became    the primary U.S. manufacturer of The Beatles major releases.  When    Apple Records was formed by the Beatles in 1968, Capitol still maintained    production and distribution control over the Beatles records.  When    Apple was dissolved in 1975, the entire Beatles catalog, including solo    releases, reverted back to Capitol. In the early 1990ï¿½s, all The    Beatles/solo Capitol product was reissued on the Apple label.  The Beatles, collectively and    individually, have also appeared on several other labels over the    years.  However, most of these releases failed to stay in production    long enough to experience significant label design changes.  The    relatively few that did, are thoroughly identified in their respective    sections.
model-index: name: SentenceTransformer based on microsoft/deberta-v2-xlarge
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.9197610669751131
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.9283888594894274
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.9339362561833366
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.9292519323166217
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.9345390898962939
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.9297849645910548
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.9045457355592232
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.9029364900705459
name: Spearman Dot
verified: no, type: pearson_max
value: 0.9345390898962939
name: Pearson Max
verified: no, type: spearman_max
value: 0.9297849645910548
name: Spearman Max
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: allNLI dev
type: allNLI-dev
metrics: type: cosine_accuracy
value: 0.728515625
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7859227061271667
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.6415094339622641
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.617089033126831
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.5418326693227091
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.7861271676300579
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.6217331823695006
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.732421875
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 706.68359375
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.64
name: Dot F1
verified: no, type: dot_f1_threshold
value: 562.21875
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.51985559566787
name: Dot Precision
verified: no, type: dot_recall
value: 0.8323699421965318
name: Dot Recall
verified: no, type: dot_ap
value: 0.6280684228983158
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.73046875
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 643.9918212890625
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.6385809312638581
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 860.728515625
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.5179856115107914
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.8323699421965318
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.6164349914982901
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.73046875
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 20.697372436523438
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.6445497630331753
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 26.88058853149414
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.5461847389558233
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.7861271676300579
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.6174127578384853
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.732421875
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 706.68359375
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.6445497630331753
name: Max F1
verified: no, type: max_f1_threshold
value: 860.728515625
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.5461847389558233
name: Max Precision
verified: no, type: max_recall
value: 0.8323699421965318
name: Max Recall
verified: no, type: max_ap
value: 0.6280684228983158
name: Max Ap
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: Qnli dev
type: Qnli-dev
metrics: type: cosine_accuracy
value: 0.716796875
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.6310172080993652
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.7122302158273383
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.5600648522377014
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.61875
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.8389830508474576
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.7570462713424839
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.697265625
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 540.0211181640625
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.6991596638655463
name: Dot F1
verified: no, type: dot_f1_threshold
value: 466.7581787109375
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.5793871866295265
name: Dot Precision
verified: no, type: dot_recall
value: 0.8813559322033898
name: Dot Recall
verified: no, type: dot_ap
value: 0.725844374113976
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.7265625
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 778.567626953125
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.7195571955719556
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 868.3278198242188
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.6372549019607843
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.826271186440678
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.7646001426631109
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.7265625
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 25.061500549316406
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.7172675521821632
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 27.673938751220703
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.6494845360824743
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.8008474576271186
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.7629251882134518
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.7265625
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 778.567626953125
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.7195571955719556
name: Max F1
verified: no, type: max_f1_threshold
value: 868.3278198242188
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.6494845360824743
name: Max Precision
verified: no, type: max_recall
value: 0.8813559322033898
name: Max Recall
verified: no, type: max_ap
value: 0.7646001426631109
name: Max Ap
verified: no
Likes: 1 | All-time downloads: 136
Created: 2024-09-03 21:38:00