You can deploy this model and start earning money today!

quantisan/
paraphrase-MiniLM-L3-v2-93dataset-v3labels

Name: paraphrase-MiniLM-L3-v2-93dataset-v3labels
Availability: InStock

setfit

safetensors

bert

sentence-transformers

text-classification

generated_from_setfit_trainer

2209.11055

sentence-transformers/paraphrase-MiniLM-L3-v2

finetune

model-index

Views

No views yet

SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2

This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-MiniLM-L3-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.

The model has been trained using an efficient few-shot learning technique that involves:

Fine-tuning a Sentence Transformer with contrastive learning.
Training a classification head with features from the fine-tuned Sentence Transformer.

Model Details

Model Description

Model Type: SetFit
Sentence Transformer body: sentence-transformers/paraphrase-MiniLM-L3-v2
Classification head: a LogisticRegression instance
Maximum Sequence Length: 128 tokens
Number of Classes: 58 classes

Model Sources

Repository: SetFit on GitHub
Paper: Efficient Few-Shot Learning Without Prompts
Blogpost: SetFit: Efficient Few-Shot Learning Without Prompts

Model Labels

Label	Examples
Date	'end_date: 11/3/20, 11/2/20, 11/1/20, 10/31/20, 10/30/20, 10/29/20, 10/28/20, 10/27/20, 10/26/20, 10/25/20, 10/24/20, 10/23/20, 10/22/20, 10/21/20, 10/20/20, 10/19/20, 10/18/20, 10/17/20, 10/16/20, 10/15/20' 'end_date: 12/20/22, 12/19/22, 12/15/22, 12/14/22, 12/13/22, 12/12/22, 12/11/22, 12/7/22, 12/6/22, 12/5/22, 12/4/22, 12/2/22, 11/29/22, 11/22/22, 11/21/22, 11/20/22, 11/19/22, 11/17/22, 11/15/22, 11/14/22' 'STOP_FRISK_DATE: 1/16/2017, 2/8/2017, 2/20/2017, 2/21/2017, 2/17/2017, 2/25/2017, 3/3/2017, 3/16/2017, 3/31/2017, 4/2/2017, 4/4/2017, 3/24/2017, 4/6/2017, 4/18/2017, 5/6/2017, 5/10/2017, 5/17/2017, 5/7/2017, 5/24/2017, 6/8/2017'
ID	'cur_id: 0.0' 'pt_id: 15, 14, 17, 18'
Likert scale	'Procedure.Pneumonia.Quality: Average, Worse, Unknown, Better' 'Rating.Safety: Above, Below, Same, None' 'Rating.Readmission: Below, Above, None, Same'
Structured field	'metadata.formats.types: text/plain,text/plain; charset=us-ascii,application/pdf,application/x-mobipocket-ebook,application/zip,application/rdf+xml,application/epub+zip,text/html; charset=us-ascii, application/x-mobipocket-ebook,text/plain; charset=us-ascii,text/html; charset=us-ascii,application/zip,application/rdf+xml,application/epub+zip,text/plain, application/x-mobipocket-ebook,text/plain; charset=us-ascii,text/plain,text/html; charset=us-ascii,application/zip,application/rdf+xml,application/epub+zip,application/pdf, text/html; charset=iso-8859-1,text/plain,application/zip,application/rdf+xml,application/epub+zip,text/plain; charset=us-ascii,application/x-mobipocket-ebook, text/plain; charset=us-ascii,text/rtf,application/x-mobipocket-ebook,application/zip,application/rdf+xml,application/epub+zip,text/html; charset=iso-8859-1,text/plain, image/jpeg,text/html; charset=iso-8859-1,application/x-mobipocket-ebook,application/zip,text/plain; charset=iso-8859-1,application/epub+zip,application/rdf+xml,text/plain, text/html,text/plain; charset=us-ascii,application/x-mobipocket-ebook,application/zip,application/rdf+xml,application/epub+zip,text/plain, image/jpeg,text/html; charset=iso-8859-1,text/plain,application/zip,text/plain; charset=iso-8859-1,application/epub+zip,application/rdf+xml,application/x-mobipocket-ebook, text/plain,text/plain; charset=us-ascii,text/html; charset=us-ascii,application/zip,application/rdf+xml,application/epub+zip,application/x-mobipocket-ebook, application/x-mobipocket-ebook,text/plain; charset=us-ascii,text/plain,application/zip,application/rdf+xml,application/epub+zip,text/html; charset=us-ascii, text/html; charset=us-ascii,text/plain; charset=us-ascii,application/x-mobipocket-ebook,application/zip,application/rdf+xml,application/epub+zip,text/plain, application/rdf+xml,text/html; charset=iso-8859-1,application/x-mobipocket-ebook,application/zip,text/plain; charset=iso-8859-1,application/epub+zip,text/plain; charset=us-ascii,text/plain, text/plain; charset=us-ascii,application/x-mobipocket-ebook,text/html; charset=iso-8859-1,application/zip,text/plain; charset=iso-8859-1,application/epub+zip,application/rdf+xml,text/plain, text/html; charset=iso-8859-1,text/plain; charset=us-ascii,text/plain,application/rdf+xml,application/epub+zip,text/plain; charset=iso-8859-1,application/x-mobipocket-ebook, application/rdf+xml,text/html; charset=iso-8859-1,text/plain,application/zip,text/plain; charset=iso-8859-1,application/epub+zip,text/plain; charset=us-ascii,application/x-mobipocket-ebook, text/plain,text/plain; charset=us-ascii,application/x-mobipocket-ebook,application/rdf+xml,application/epub+zip,text/html; charset=us-ascii, image/jpeg,text/html; charset=utf-8,text/plain; charset=us-ascii,application/x-mobipocket-ebook,application/zip,application/rdf+xml,application/epub+zip,text/plain; charset=iso-8859-1,text/plain, text/html; charset=iso-8859-1,application/x-mobipocket-ebook,application/zip,application/rdf+xml,application/epub+zip,text/plain; charset=us-ascii,text/plain, text/plain,text/plain; charset=us-ascii,application/x-mobipocket-ebook,text/plain; charset=iso-8859-1,application/epub+zip,application/rdf+xml,text/html; charset=us-ascii, application/x-mobipocket-ebook,text/plain; charset=us-ascii,application/pdf,text/html; charset=us-ascii,application/zip,application/rdf+xml,application/epub+zip,text/plain' 'Orange Bowl: Georgia 34, Michigan 11, Texas A&M 41, North Carolina 27, Florida 36, Virginia 28, Alabama 45, Oklahoma 34, Wisconsin 34, Miami 24, Florida State 33, Michigan 32, Clemson 37, Oklahoma 17, Georgia Tech 49, Mississippi State 34, Clemson 40, Ohio State 35, Florida State 31, Northern Illinois 10, West Virginia 70, Clemson 33, Stanford 40, Virginia Tech 12, Iowa 24, Georgia Tech 14, Virginia Tech 20, Cincinnati 7, Kansas 24, Virginia Tech 21, Louisville 24, Wake Forest 13, Penn State 26, Florida State 23, USC 55, Oklahoma 19, Miami (FL) 16, Florida State 14, USC 38, Iowa 17' 'combination_of_primary_and_highlight_color: +, Gray+Cinnamon, Cinnamon+, Gray+, Cinnamon+White, Gray+White, Cinnamon+Gray, Gray+Cinnamon, White, Cinnamon+Gray, White, Gray+Black, Cinnamon, White, Black+, Gray+Black, Black+White, Black+Cinnamon, Gray+Black, White, Cinnamon+Black, Black+Gray, Gray+Black, Cinnamon, Black+Cinnamon, White, Cinnamon+Black, White'
Alphanumeric identifier	'ID Geography: 16000US1714000' 'ID Geography: 04000US06' 'ID Geography: 01000US, 04000US51'
Longitude	'long: 40.65531753386127, 35.52146509142811, 41.04610174058556, 37.25718863973695, 37.73038191275334, 38.78755702518432, 36.31538469187874, 38.3542649521305, 40.33741738725765, 36.831052736369664, 37.39711396680899, 38.28297641253209, 40.25037415629944, 39.12501528359793, 40.179108531876246, 38.165405118101205, 40.28234452941448, 37.1590112746327, 40.08056518798263, 38.45329795732872' 'Longitude: 6.85, 2.97, 2.53, -4.02, 10.87, 11.93, 12.7, 14.139, 14.426, 13.897, 14.83, 15.213, 15.064, 14.933, 14.962, 14.999, 12.02, 14.399, 23.336, 24.439' 'Longitude: 2,77228900, 2,77461100, 2,77370600, 2,77423900, 2,77654400, 2,79937600, 2,78064700, 2,77697400, 2,78928200, 2,78032200, 2,77731200, 2,77121300, 2,77167600, 2,78236500, 2,76694300, 2,77139500, 2,76872200, 2,76741500, 2,77156700, 2,82065100'
Gender	'SUSPECT_SEX: MALE, FEMALE, (null), 19, 39, 23, 24' 'sex: Female, Male' 'Person.Gender: Male, Female, Unknown'
Very short text	'status: N, Y, REMOVE, None, 1, ?, H, R, M, T' 'above_ground_sighter_measurement: None, FALSE, 4, 3, 30, 10, 6, 24, 8, 25, 5, 50, 70, 12, 2, 20, 7, 13, 15, 28' 'review_reason_code: 2, 1, 4, None, 5, 3, 7, 3?, 8, D, ?, 3, 1, 1 or 2, D or 1, 7B, 1, 2, 1 OR 2, D OR 2, B, 4?'
Color	'highlight_fur_color: None, Cinnamon, White, Gray, Cinnamon, White, Gray, White, Black, Cinnamon, White, Black, Black, White, Black, Cinnamon, Gray, Black' 'primary_fur_color: None, Gray, Cinnamon, Black' 'color: Yellow, Black, White'
Time	'STOP_FRISK_TIME: 14:26:00, 11:10:00, 11:35:00, 13:20:00, 21:25:00, 20:00:00, 19:58:00, 13:15:00, 8:16:00, 18:44:00, 22:30:00, 4:45:00, 18:30:00, 0:00:00, 9:58:00, 11:15:00, 13:00:00, 8:00:00, 14:57:00, 4:15:00'
Region	'Subregion: Western Europe, Italy, Greece, Turkey, Western Asia, Africa (northeastern) and Red Sea, Africa (eastern), Africa (central), Africa (western), Africa (northern), Middle East (western), Middle East (southern), Middle East (eastern), Indian Ocean (western), Indian Ocean (southern), New Zealand, Kermadec Islands, Tonga Islands, Samoan and Wallis Islands, Fiji Islands' 'Region: Mediterranean and Western Asia, Africa and Red Sea, Middle East and Indian Ocean, New Zealand to Fiji, Melanesia and Australia, Indonesia, Philippines and SE Asia, Japan, Taiwan, Marianas, Kuril Islands, Kamchatka and Mainland Asia, Alaska, Canada and Western USA, Hawaii and Pacific Ocean, México and Central America, South America, West Indies, Iceland and Arctic Ocean, Atlantic Ocean, Antarctica' 'origin: usa, japan, europe'
Slug	'Slug Geography: united-states' 'Slug University: doctoral-universities, associates-colleges-high-transfer-high-traditional, doctoral-universities-highest-research-activity, doctoral-universities-higher-research-activity, doctoral-universities-moderate-research-activity, masters-colleges-universities-larger-programs, not-applicable-not-in-carnegie-universe-not-accredited-or-nondegree-granting' 'Slug Detailed Occupation: physicians, physicians-surgeons, lawyers-judges-magistrates-other-judicial-workers, medical-health-services-managers, chief-executives-legislators, veterinarians, social-community-service-managers, securities-commodities-financial-services-sales-agents, petroleum-mining-geological-engineers-including-mining-safety-engineers, economists, miscellaneous-social-scientists-including-survey-researchers-sociologists, natural-sciences-managers, geoscientists-and-hydrologists-except-geographers, detectives-criminal-investigators, judicial-law-clerks, other-psychologists, architectural-engineering-managers, education-administrators, astronomers-physicists, public-relations-and-fundraising-managers'
Numeric	'cat_indent: 0' 'et_idx: 0, 6, 5, 2, 3, 4, 1, 8, 7' 'metadata.downloads: 36576, 26363, 18882, 17128, 15683, 15347, 13638, 13237, 12794, 11625, 11270, 11125, 11068, 10568, 10312, 10014, 9852, 9690, 9681, 9580'
Timestamp	'created_at: 12/30/20 12:29, 11/2/20 21:26, 11/2/20 22:16, 11/2/20 21:32, 11/2/20 22:01, 11/2/20 22:18, 11/2/20 22:26, 11/2/20 23:31, 11/2/20 21:49, 10/31/20 17:22, 11/1/20 14:39, 11/2/20 08:22, 10/29/20 14:16, 10/31/20 08:36, 10/29/20 11:08, 10/29/20 09:00, 10/29/20 16:13, 10/29/20 16:14, 10/30/20 15:45, 10/28/20 09:24' 'created_at: 12/21/22 09:28, 12/21/22 12:52, 12/16/22 18:27, 12/16/22 21:10, 12/14/22 10:39, 12/14/22 08:22, 12/15/22 18:31, 12/14/22 14:13, 12/13/22 09:36, 12/14/22 08:23, 12/14/22 15:40, 12/15/22 09:40, 12/7/22 10:47, 12/7/22 08:17, 12/7/22 17:56, 12/15/22 09:50, 11/30/22 09:25, 11/23/22 08:46, 12/1/22 09:39, 12/5/22 08:29' 'created_at: 12/21/22 09:28, 12/21/22 12:52, 12/16/22 18:27, 12/16/22 21:10, 12/14/22 10:39, 12/14/22 08:22, 12/15/22 18:31, 12/14/22 14:13, 12/13/22 09:36, 12/14/22 08:23, 12/14/22 15:40, 12/15/22 09:40, 12/7/22 10:47, 12/7/22 08:17, 12/7/22 17:56, 12/15/22 09:50, 11/30/22 09:25, 11/23/22 08:46, 12/1/22 09:39, 12/5/22 08:29'
Country ISO Code	"Runner-up Nationality (Men's): None, USA, BRA, AUS, RSA, FRA, CND, RUS, GBR, BEL, GER, ESP, NED, POL, ARG, CZE, YUG, TCH, URS" 'Runner-up Nationality: AUS, GBR, NZL, FRA, USA, RSA, CZE, ARG, GER, SUI, ESP, CRO, ROM, DEN, TCH, URS, CZ, SRB, CND, SWE' 'Champion Nationality: AUS, FRA, GBR, NZL, USA, SRB, SUI, SWE, CZE, ESP, GER, NED, CRO, BRA, RUS'
Latitude	'Latitude: 50.17, 45.775, 42.17, 38.87, 43.25, 42.6, 41.73, 40.827, 40.821, 40.73, 39.48, 38.789, 38.638, 38.49, 38.404, 37.748, 37.1, 36.77, 39.284, 37.615' 'lat: 83.92115933668057, 89.53277415300325, 85.37696959908148, 85.44622332365381, 84.28538158324413, 87.96664079539569, 86.11414393337242, 85.43864590316868, 87.65474214915454, 81.67725407101064, 90.47817498708324, 89.87993043195812, 81.56791356025577, 88.48808747114165, 89.3843538611984, 87.5218603199103, 83.99238693700401, 82.50195719071465, 85.84865551792468, 87.92121711225418' 'lat: 40.7940823884086, 40.7948509408039, 40.7667178072558, 40.7697032606755, 40.797533370163, 40.7902561000937, 40.7693045133578, 40.7942883045566, 40.7729752391435, 40.7903128889029, 40.7762126854894, 40.7725908847499, 40.7931811701082, 40.7917367820255, 40.7829723919744, 40.7742879599026, 40.7823507678183, 40.7919669739962, 40.7702795904962, 40.7698124821507'
Letter grade	'fte_grade: B+, B, B/C, A, A-, None, C, A/B, B-, A+, C/D' 'fte_grade: A/B, None, A-, B+, B, B-, C, B/C, A+, A, C-, C+, C/D, F' 'fte_grade: B/C, B-, A-, A, B+, B, C/D, A/B, A+, C+, None, F'
U.S. State Abbreviation	'state2: AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD' 'recipient_st: AK, AL, AR, AZ, CA, CO, CT, DC, FL, GA, HI, IA, ID, IL, IN, KA, KS, KY, LA, MA' 'State: AK, AL, AR, AZ, CA, CO, CT, DC, DE, FL, GA, HI, IA, ID, IL, IN, KS, KY, LA, MA'
URI	'data.thumbnail: http://www.tate.org.uk/art/images/work/T/T12/T12981_8.jpg, http://www.tate.org.uk/art/images/work/N/N03/N03992_8.jpg, None, http://www.tate.org.uk/art/images/work/T/T01/T01067_8.jpg, http://www.tate.org.uk/art/images/work/T/T03/T03369_8.jpg, http://www.tate.org.uk/art/images/work/T/T13/T13592_8.jpg, http://www.tate.org.uk/art/images/work/T/T03/T03562_8.jpg, http://www.tate.org.uk/art/images/work/P/P77/P77815_8.jpg, http://www.tate.org.uk/art/images/work/T/T09/T09843_8.jpg, http://www.tate.org.uk/art/images/work/T/T05/T05820_8.jpg, http://www.tate.org.uk/art/images/work/T/T07/T07034_8.jpg, http://www.tate.org.uk/art/images/work/T/T00/T00372_8.jpg, http://www.tate.org.uk/art/images/work/T/T07/T07229_8.jpg, http://www.tate.org.uk/art/images/work/T/T06/T06749_8.jpg, http://www.tate.org.uk/art/images/work/T/T02/T02351_8.jpg, http://www.tate.org.uk/art/images/work/T/T13/T13408_8.jpg, http://www.tate.org.uk/art/images/work/T/T06/T06680_8.jpg, http://www.tate.org.uk/art/images/work/T/T12/T12215_8.jpg, http://www.tate.org.uk/art/images/work/T/T07/T07626_8.jpg, http://www.tate.org.uk/art/images/work/P/P77/P77242_8.jpg'
Floating Point Number	'age: 228.0, 248.0, 236.0, 213.0, 263.0, 253.0, 225.0, 233.0, 239.0, 244.0, 224.0, 221.0, 257.0, 210.0, 237.0, 247.0, 256.0, 269.0, 259.0, 227.0' 'sulphates: 0.56, 0.68, 0.65, 0.58, 0.46, 0.47, 0.57, 0.8, 0.54, 0.52, 1.56, 0.88, 0.93, 0.75, 1.28, 0.5, 1.08, 0.53, 0.91, 0.63' 'total sulfur dioxide: 34.0, 67.0, 54.0, 60.0, 40.0, 59.0, 21.0, 18.0, 102.0, 65.0, 29.0, 145.0, 148.0, 103.0, 56.0, 71.0, 37.0, 23.0, 11.0, 35.0'
Race/Ethnicity	'SUSPECT_RACE_DESCRIPTION: (null), WHITE, BLACK HISPANIC, BLACK, WHITE HISPANIC, ASIAN/PAC.ISL, AMER IND, MALE' 'race: black, white, other' 'Person.Race: Asian, White, Hispanic, African American, Other, Unknown, Native American'
Occupation	'Detailed Occupation: Physicians, Physicians & surgeons, Lawyers, & judges, magistrates, & other judicial workers, Medical & health services managers, Chief executives & legislators, Veterinarians, Social & community service managers, Securities, commodities, & financial services sales agents, Petroleum, mining & geological engineers, including mining safety engineers, Economists, Miscellaneous social scientists, including survey researchers & sociologists, Natural sciences managers, Geoscientists and hydrologists, except geographers, Detectives & criminal investigators, Judicial law clerks, Other psychologists, Architectural & engineering managers, Education administrators, Astronomers & physicists, Public relations and fundraising managers' 'Detailed Occupation: Other managers, Cashiers, Retail salespersons, Driver/sales workers & truck drivers, Registered nurses' 'occupation: Operatives, Craftsmen, Sales, Other, Managers/admin, Professional/technical, Clerical/unskilled, Laborers, Transport, Service, nan, Household workers, Farm laborers, Farmers'
Country Name	'County: Baldwin County, AL, Calhoun County, AL, Coffee County, AL, Colbert County, AL, Covington County, AL, Cullman County, AL, Dale County, AL, Dallas County, AL, Etowah County, AL, Jackson County, AL, Jefferson County, AL, Lee County, AL, Limestone County, AL, Madison County, AL, Marshall County, AL, Mobile County, AL, Montgomery County, AL, Perry County, AL, Pike County, AL, Randolph County, AL' 'Geography: United States, Arizona, California, Nevada, Oregon, Los Angeles-Long Beach-Anaheim, CA, Riverside-San Bernardino-Ontario, CA, San Diego-Carlsbad, CA, San Francisco-Oakland-Hayward, CA' 'Nation: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, The Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan'
U.S. State	'Geography: Arizona, California, Nevada, Oregon' 'state: None, Florida, Iowa, Pennsylvania, Nevada, Georgia, South Carolina, Nebraska CD-2, Montana, Maine, Maine CD-2, Maine CD-1, Arizona, North Carolina, Texas, Wyoming, West Virginia, Wisconsin, Washington, Vermont' 'Geography: United States, Iowa, Michigan, Minnesota, North Dakota, South Dakota, Wisconsin, Minneapolis-St. Paul-Bloomington, MN-WI'
Short text	'seat_name: District 7, District 2, District 24, District 5, District 3, District 6, District 17, District 1, District 9, District 13, District 50, District 15, District 16, District 11, District 4, District 10, District 53, District 12, District 8, District 39' 'DEMEANOR_OF_PERSON_STOPPED: TERRORISM, OTHER, GRAND LARCENY AUTO, BURGLARY, CPW, NORMAL, PLEASANT, NERVOUS, CALM, ROBBERY, CRIMINAL MISCHIEF, WORRIED, MURDER, GRAND LARCENY, PETIT LARCENY, VERY CALM, QUESTIONED THE REASONING OF STOP, EXPLAINED AND SH, UPSET, IRRATE, ASSAULT' 'notes: None, half sample, exit poll, question wording: positive/negative/neutral, question wording positive/negative, no polling 5/8; question wording positive/negative/neutral, full data provided by Craig Burnett, one third sample, question wording: positive/negative feeling, question wording: positive/negative , among those familiar'
Street Address	'STOP_LOCATION_FULL_ADDRESS: 180 GREENWICH STREET, WALL STREET && BROADWAY, 75 GREENE STREET, 429 WEST BROADWAY, WEST STREET && CHAMBERS STREET, CHAMBERS STREET && WEST BROADWAY, CORTLANDT STREET && CHURCH STREET, 111 FULTON STREET, 25 CLIFF STREET, SPRING STREET && AVENUE OF THE AMERICAS, 130 CEDAR STREET, 225 LIBERTY STREET, BARCLAY STREET && WEST STREET, 153 GREENWICH STREET, BATTERY PLACE && STATE STREET, MERCER STREET && BROOME STREET, WEST STREET && CANAL STREET, BROADWAY && PRINCE STREET, WEST BROADWAY && AVENUE OF THE AMERICAS, 3 SOUTH STREET'
City Name	'Facility.City: Dothan, Boaz, Florence, Opp, Luverne, Birmingham, Fort Payne, Alabaster, Sheffield, Ozark, Centre, Montgomery, Opelika, Wedowee, Tallassee, Cullman, Andalusia, Anniston, Huntsville, Gadsden' 'recipient_city: ANCHORAGE, BIRMINGHAM, GUNTERSVILLE, HUNTSVILLE, BENTONVILLE, LITTLE ROCK, CONWAY, BENTON, MAUMELLE, ROGERS, JONESBORO, PHOENIX, TEMPE, SCOTTSDALE, CAVE CREEK, PHEONIX, CHANDLER, FLAGSTAFF, PARADISE VALLEY, SAFFORD' "Capital: Kabul, Tirane, Algiers, Andorra la Vella, Luanda, Saint John's, Buenos Aires, Yerevan, Canberra, Vienna, Baku, Nassau, Manama, Dhaka, Bridgetown, Minsk, Brussels, Belmopan, Porto-Novo, Thimphu"
Day of Month	'bibliography.publication.day: 1, 17, 16, 20, 29, 10, 14, 11, 9, 18, 19, 22, 25, 15, 6, 28, 27, 2, 12, 21' 'Incident.Date.Day: 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23' 'Date.Day: 26, 24, 31, 7, 14, 21, 28, 5, 12, 19, 2, 9, 16, 23, 30, 4, 11, 18, 25, 1'
Year	'Year: 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013' 'cycle: 2020, 2019, 2018' 'Date.Year: 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009'
Month Number	'Date.Month: 8, 3, 4, 5, 6, 7, 9, 10, 11, 12, 1, 2' 'bibliography.publication.month: 6, 11, 3, 8, 1, 10, 7, 2, 4, 5, 9, 12' 'Incident.Date.Month: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12'
Continents	'Continent: Africa, South America, Asia, North America, Australia'
Integer	'AVG.1: 72710, 70347, 69816, 71154, 65991, 69107, 70785, 71743, 69971, 69370, 68103, 65411, 67280, 73706, 68765, 68398, 68483, 69956, 71385, 66222' 'death: 35305, 1604, 21226, 22676, 186428, 18925, 26005, 5123, 104190, 44230, 4849, 6753, 102230, 47300, 26348, 21910, 33765, 35518, 10768, 34025' 'turn: 40, 35, 43, 34, 42, 44, 45, 31, 41, 46, 33, 51, 48, 39, 37, 36, 38, 32'
Numeric identifier	'candidate_id: 15574, 15575, 13509, 13510, 15190, 14476, 14477, 15784, 14654, 14655, 15311, 14661, 14662, 15039, 14808, 14810, 14752, 14753, 15019, 15020' 'Birthplace: 154746, 345512, 177841, 290849, 190024, 155725, 82043, 31450, 41079, 84188, 49076, 6147, 21065, 47884, 139859, 75546, 52967, 26345, 11015, 16390' 'metadata.id: 1342, 1952, 11, 84, 5200, 76, 844, 74, 23, 2542, 2701, 1661, 1400, 4300, 98, 1080, 345, 1232, 174, 2600'
Price	'Income Range: $0 - $30,000, $30,001 - $48,000, $48,001 - $75,000, $75,001 - $110,000, $110,000+'
Zip Code	'zip_codes: nan, 12081.0, 10090.0, 12423.0, 12420.0' 'STOP_LOCATION_ZIP_CODE: (null), 20292, AVENUE, 5 AVEN, 10019, 22768, 10035, 10026, 10128, 24231, 10030, 10039, 23874, 11213, 11233, 100652, 10451, 23543, 100745, PROSPE' 'recipient_zip: 995084442, 99503, 995163436, 352124572, 35216, 35976, 358021277, 352174710, 35203, 35233, 35805, 72716, 72201, 72035, 72015, 72223, 72019, 72113, 72758, 72227'
Categorical	'location: None, Ground Plane, Above Ground' 'population: lv, rv, v, a' 'JURISDICTION_DESCRIPTION: PSB, Transit, Housing, Other, (null)'
Boolean	'Factors.Mental-Illness: True' 'chasing: False, True' 'SEARCHED_FLAG: N, Y, ('
Day of Week	'day: Sun, Sat, Thur, Fri' 'DAY2: Monday, Wednesday, Tuesday, Friday, Saturday, Thursday, Sunday'
Percentage	'PCT.2: 95.5, 96.5, 94.0, 99.4, 97.6, 100.9, 101.0, 101.1, 96.9, 98.0, 97.9, 98.1, 94.8, 100.7, 99.3, 97.1, 98.9, 98.7, 96.1, 99.7' 'PCT.1: 99.3, 99.1, 96.2, 98.6, 98.8, 101.0, 99.6, 97.8, 96.7, 96.8, 98.1, 96.9, 98.0, 98.4, 98.5, 94.6, 101.4, 95.3, 99.8, 97.1' 'Audience score %: 71.0, 81.0, 89.0, 64.0, 84.0, 80.0, 66.0, 51.0, 52.0, 47.0, 56.0, 61.0, 60.0, 76.0, 57.0, 63.0, 77.0, 58.0, 45.0, 83.0'
Postal Code	'Code postal: 77700.0, nan'
Street Name	"Adresse: Adventureland, 10 Place d'Ariane, Fantasyland, None, Disneyland Paris, Unnamed Road, Discoveryland, 3 Rue de la Galmy, Boulevard du Grand Fossé, Liaison Douce, 24 Town Square, Les Pléiades, Frontierland, 5 Cours du Danube, Rue du Bœuf Agile, Avenue René Goscinny, 1998 Rue Georges Méliès, Boulevard du Parc, Town Square, Avenue Paul Séramy" 'STOP_LOCATION_STREET_NAME: GREENWICH STREET, WALL STREET, GREENE STREET, WEST BROADWAY, WEST STREET, CHAMBERS STREET, CORTLANDT STREET, FULTON STREET, CLIFF STREET, SPRING STREET, CEDAR STREET, LIBERTY STREET, BARCLAY STREET, BATTERY PLACE, MERCER STREET, BROADWAY, SOUTH STREET, THOMPSON STREET, JAY STREET, CHURCH STREET'
Month Name	'month: Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec' 'bibliography.publication.month name: June, November, March, August, January, October, July, February, April, May, September, December' 'MONTH2: January, February, March, April, May, June, July, August, September, October, November, December'
Currency Code	'cur_name: AFN, DZD, AOA, ARS, AMD, AZN, BDT, INR, BYR, XOF, BTN, BOB, BIF, KHR, XAF, CVE, CNY, COP, USD, CDF'
Full Name	'artist.name: Abakanowicz, Magdalena, Abbey, Edwin Austin, Abbott, Berenice, Abbott, Lemuel Francis, Abrahams, Ivor, Absalon, Abts, Tomma, Acconci, Vito, Ackling, Roger, Ackroyd, Norman, Adam, Robert, Adams, Harry William, Adams, Norman, Adams, Robert, Adeney, Bernard, Adler, Jankel, Adshead, Mary, Adzak, Roy, Afro, Agar, Eileen' 'bibliography.author.name: Austen, Jane, Gilman, Charlotte Perkins, Carroll, Lewis, Shelley, Mary Wollstonecraft, Kafka, Franz, Twain, Mark, Wilde, Oscar, Douglass, Frederick, Ibsen, Henrik, Melville, Herman, Doyle, Arthur Conan, Dickens, Charles, Joyce, James, Swift, Jonathan, Stoker, Bram, Machiavelli, Niccolo, Tolstoy, Leo, graf, Grimm, Wilhelm, Vatsyayana, Unknown' "cand_nm: Rubio, Marco, Santorum, Richard J., Perry, James R. (Rick), Carson, Benjamin S., Cruz, Rafael Edward 'Ted', Paul, Rand, Clinton, Hillary Rodham, Sanders, Bernard, Fiorina, Carly, Huckabee, Mike, Pataki, George E., O'Malley, Martin Joseph, Graham, Lindsey O., Bush, Jeb, Trump, Donald J., Jindal, Bobby, Christie, Christopher J., Walker, Scott, Stein, Jill, Webb, James Henry Jr."
URL	'url: https://nwlc.org/press-releases/2020-election-poll/, http://thelistenergroup.com/wp-content/uploads/2020/11/Trump-Leads-by-Four-with-Likely-Florida-Voters-on-Eve-of-Election-Day-.pdf, https://www.publicpolicypolling.com/wp-content/uploads/2020/11/IowaResultsNovember2020.pdf, https://www.realclearpolitics.com/docs/2020/SusquehannaPolling-PAStatewidePoll-Oct2020.pdf, https://www.realclearpolitics.com/docs/2020/Fox_35_Insider_Advantage.pdf, https://researchco.ca/2020/11/02/trump-vs-biden-6/, https://docs.cdn.yougov.com/jsojry0vph/econTabReport.pdf, https://www.ipsos.com/sites/default/files/ct/news/documents/2020-11/2020_reuters_tracking_-_core_political_general_election_tracker_11_02_2020.pdf, https://drive.google.com/file/d/1R_koDDUl2fh-cPYXKn7ZPch_MtP5c3a7/view, https://www.tableau.com/data-insights/us-election-2020/candidate-preference, https://drive.google.com/file/d/17CBTDAU6xkJ6jrrYOaAyTW62fAUxT0VB/view, https://drive.google.com/file/d/1lvHuG_JX55hwFHsKD5PSRTnGvH-ClmcF/view, https://github.com/optimus-forecasting-and-polling/0ptimus-SC-VA7-November-2020/blob/main/south_carolina_poll_toplines_tl_31_october_2020.pdf, https://blog.harrisx.com/blog/final-2020-presidential-election-polling, https://projects.fivethirtyeight.com/polls/20201102_NE_UNLV.pdf, https://docs.google.com/spreadsheets/d/1RQaEpV6kT3qV2b5P2B_AQgnS2CAJdgJaioH_10hO4qU/edit#gid=1652054673, https://docs.google.com/spreadsheets/d/1MPKy3AfXEIpcB_0jKhq8y7_cxPyH_71cUY4zO2lTGfU/edit#gid=0, https://docs.google.com/spreadsheets/d/1eBWQtr-cx1ECGu-dsFcF_VdhnFfyRPd3qz3zcTmhdFY/edit#gid=1166077921, https://twitter.com/ChangePolls/status/1323482851837317121, https://www.investors.com/news/trump-vs-biden-poll-race-stays-close-election-day-ibd-tipp-presidential-poll/' 'url: https://docs.cdn.yougov.com/c5o6xiw8t9/econtoplines.pdf, https://docs.cdn.yougov.com/by8wjw1hur/econTabReport.pdf, https://subscriber.politicopro.com/newsletter/2022/12/who-supports-the-payment-pause-00072673, https://news.yahoo.com/new-poll-shows-stark-partisan-divide-when-it-comes-to-americans-view-of-schools-132510314.html, https://harvardharrispoll.com/wp-content/uploads/2022/12/HHP_Dec2022_KeyResults.pdf, https://echeloninsights.com/in-the-news/december-2022-omnibus-2/, https://docs.cdn.yougov.com/b94ttrxy3v/econtoplines.pdf, https://docs.cdn.yougov.com/urts2xadfd/econTabReport.pdf, https://www.foxnews.com/politics/fox-news-poll-americans-show-little-enthusiasm-biden-trump-rematch-2024, https://poll.qu.edu/poll-release?releaseid=3863, https://www.usatoday.com/story/news/politics/2022/12/13/trump-support-gop-2024-presidential-race-poll/10882346002/, https://www.wsj.com/articles/ron-desantis-holds-early-lead-over-donald-trump-among-gop-primary-voters-wsj-poll-shows-11670989311?mod=hp_lead_pos5, https://www.cnn.com/2022/12/14/politics/biden-trump-2024-poll/index.html, https://docs.cdn.yougov.com/dshfq4wqyr/econtoplines.pdf, https://docs.cdn.yougov.com/qsanp37uhh/econTabReport.pdf, https://www.yahoo.com/news/poll-trump-loses-ground-with-republicans-after-kanye-west-nick-fuentes-dinner-100204385.html, https://docs.cdn.yougov.com/regijt79ge/November_Georgia_Ads_joined_earlier.pdf, https://docs.cdn.yougov.com/xcvx6iu6em/November_Georgia_Ads_joined.pdf, https://news.gallup.com/poll/406892/party-images-stable-midterm-elections.aspx, https://docs.cdn.yougov.com/2zebcvjoec/econtoplines.pdf' 'data.url: http://www.tate.org.uk/art/artworks/abakanowicz-backs-t12981, http://www.tate.org.uk/art/artworks/abbey-illustration-to-judith-shakespeare-n03992, http://www.tate.org.uk/art/artworks/abbott-tri-boro-barber-shop-p13100, http://www.tate.org.uk/art/artworks/abbott-portrait-of-the-engraver-francesco-bartolozzi-t01067, http://www.tate.org.uk/art/artworks/abrahams-lady-in-niche-t03369, http://www.tate.org.uk/art/artworks/absalon-assassinations-t07227, http://www.tate.org.uk/art/artworks/abts-zebe-t13592, http://www.tate.org.uk/art/artworks/acconci-transference-zone-t13178, http://www.tate.org.uk/art/artworks/ackling-five-sunsets-in-one-hour-t03562, http://www.tate.org.uk/art/artworks/ackroyd-cartmel-fell-p77815, http://www.tate.org.uk/art/artworks/adam-composition-river-in-a-gorge-t09843, http://www.tate.org.uk/art/artworks/adams-winters-sleep-n01838, http://www.tate.org.uk/art/artworks/adams-christs-cross-and-adams-tree-t05820, http://www.tate.org.uk/art/artworks/adams-space-construction-with-a-spiral-t07034, http://www.tate.org.uk/art/artworks/adeney-toy-sailing-boats-the-round-pond-n04568, http://www.tate.org.uk/art/artworks/adler-the-mutilated-t00372, http://www.tate.org.uk/art/artworks/adshead-the-cruise-t07229, http://www.tate.org.uk/art/artworks/adzak-cut-bottle-relief-t00875, http://www.tate.org.uk/art/artworks/afro-the-struggle-t00017, http://www.tate.org.uk/art/artworks/agar-figures-in-a-garden-t06749'
Place	'Show.Theatre: Booth, Broadway, Ethel Barrymore, Palace, Belasco, Gershwin, Minskoff, Circle In The Square, Virginia, Criterion, Vivian Beaumont, Winter Garden, Plymouth, Richard Rodgers, Golden, Broadhurst, Imperial, Walter Kerr, St. James, Ambassador'
Coordinate	'lat_long: POINT (-73.9561344937861 40.7940823884086), POINT (-73.9570437717691 40.794850940803904), POINT (-73.9768311751004 40.76671780725581), POINT (-73.9757249834141 40.7697032606755), POINT (-73.9593126695714 40.797533370163), POINT (-73.9565700386162 40.7902561000937), POINT (-73.9719735582476 40.7693045133578), POINT (-73.9602609920814 40.79428830455661), POINT (-73.9770718586754 40.7729752391435), POINT (-73.9596413903948 40.7903128889029), POINT (-73.9702676472613 40.7762126854894), POINT (-73.9683613516225 40.7725908847499), POINT (-73.9541201789795 40.7931811701082), POINT (-73.9582694312289 40.7917367820255), POINT (-73.9674285955293 40.7829723919744), POINT (-73.9722500196844 40.7742879599026), POINT (-73.9695063535333 40.7823507678183), POINT (-73.9532170504865 40.7919669739962), POINT (-73.9768603630674 40.7702795904962), POINT (-73.9706105896967 40.7698124821507)'
Company Name	"company.name: Microsoft, Berkshire Hathaway, Telmex, F. Hoffmann-La Roche, Zara, Henderson Land Development, Oracle, Lin Yuan Group, Aldi, Sun Hung Kai Properties, Kingdom Holding Company, Koch industries, Cheung king, Walmart, Seibu Corporation, Las Vegas Sands, Aldi Nord, Tetra Pak, BMW, L'Oreal"
Partial timestamp	'Last Known Eruption: 8300 BCE, 4040 BCE, Unknown, 3600 BCE, 1282 CE, 104 BCE, 1538 CE, 1944 CE, 1302 CE, 8040 BCE, 2019 CE, 1230 CE, 1890 CE, 1867 CE, 1891 CE, 1050 BCE, 258 BCE, 140 CE, 1950 CE, 1888 CE' 'bibliography.publication.full: June, 1998, November, 1999, March, 1994, June 17, 2008, August 16, 2005, August 20, 2006, August 29, 2006, January 10, 2006, March, 2001, June, 2001, October 14, 1892, July, 1998, July, 2003, January, 1994, October 1997, August 16, 2013, February 11, 2006, June 9, 2008, January 1, 1870, April, 2001' 'created_at: 12/17/20 21:39, 6/14/21 15:36, 11/2/20 09:02, 11/2/20 12:49, 11/2/20 19:02, 11/2/20 14:04, 11/2/20 17:37, 11/2/20 18:39, 11/2/20 18:40, 11/4/20 09:17, 11/4/20 10:29, 11/4/20 10:32, 11/4/20 10:38, 11/4/20 10:39, 11/28/20 21:14, 11/2/20 21:25, 11/2/20 21:32, 11/2/20 22:12, 11/2/20 23:30, 11/2/20 23:33'
Age	'demographics.age: 40, 45, 58, 65, 70, 74, 0, 48, 77, 68, 56, 83, 71, 69, 44, 78, 73, 67, 53, 61' 'Person.Age: 53, 47, 23, 32, 39, 18, 22, 35, 34, 25, 31, 41, 30, 37, 28, 42, 36, 49, 71, 33' 'Age: Under 5 Years, 5 to 17 Years, 18 to 24 Years, 25 to 34 Years, 35 to 44 Years, 45 to 54 Years, 55 to 59 Years, 60 & 61 Years, 62 to 64 Years, 65 to 74 Years, 75 Years & Over'
Secondary Address	'STOP_LOCATION_APARTMENT: (null), 2, 7, 4TH, 2FL, ROOF, ROOF T, BASEME, LOBBY, 17TH, 2 FLOO, 12, 1701, HALLWA, 1E, 5D, SIDEWA, FRONT, 12C, None'
Marital status	'never_married: 0, 1' 'married: single, married'
AM/PM	'shift: PM, AM'
Last Name	'candidat: Bush, Perot, Clinton'
Location	"artist.birth.location: Polska, Philadelphia, United States, Springfield, United States, Leicestershire, United Kingdom, Wigan, United Kingdom, Tel Aviv-Yafo, Yisra'el, Kiel, Deutschland, New York, United States, Isleworth, United Kingdom, Leeds, United Kingdom, Kirkcaldy, United Kingdom, Worcester, United Kingdom, London, United Kingdom, Northampton, United Kingdom, Tuszyn, Polska, Reading, United Kingdom, Udine, Italia, Ayacucho, Argentina, Genve, Schweiz, Hmeenlinna, Suomi" 'artist.death.location: None, London, United Kingdom, Monson, United States, Paris, France, Worcester, United Kingdom, Aldbourne, United Kingdom, Hampstead, United Kingdom, Zrich, Schweiz, New Haven, United States, Woodstock, United States, Musselburgh, United Kingdom, Maidstone, United Kingdom, Edinburgh, United Kingdom, Wallingford, United Kingdom, Barnes, United Kingdom, Wiesbaden, Deutschland, Los Angeles, Madrid, Espaa, Schweiz, Rennes, France' 'Geography: United States, Virginia'
Abbreviation	'bibliography.congress classifications: PR, PS, PZ,PR, PT, PZ,PS, E300, JC, PG, HQ, PQ, PR,PZ, PA,JC, PA, B, TJ, BS, HT, JK, PE, E011'
First Name	'Top Name: Mary, Linda, Debra, Lisa, Michelle, Jennifer, Jessica, Samantha, Ashley, Hannah, Emily, Madison, Emma, Isabella, Sophia, Olivia, John, Robert, James, David'
License Plate	'plate: AZIZ714, BATBOX1, BBOMBS, BEACHY1, BLK PWR5, BOT TAK, CHERIPI, CIO FTW, DAVES88, DMOBGFY, DOITFKR, EGGPUTT, F DIABDZ, FJ 666, FKK OFF, FKN BLAK, FLT ATCK, F LUPUS, HVNNHEL, H8DES'

Evaluation

Metrics

Label	Accuracy
all	0.7698

Uses

Direct Use for Inference

First install the SetFit library:

pip install setfit

Then you can load this model and run inference.

python

from setfit import SetFitModel

# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("quantisan/paraphrase-MiniLM-L3-v2-93dataset-v3labels")
# Run inference
preds = model("variety: Western, Eastern")

Training Details

Training Set Metrics

Training set	Min	Median	Max
Word count	2	22.2181	378

Label	Training Sample Count
Categorical	8
Numeric	8
Timestamp	5
Date	8
Integer	8
Partial timestamp	3
Short text	8
Very short text	3
AM/PM	1
Boolean	8
City Name	4
Color	3
Company Name	1
Coordinate	1
Country ISO Code	3
Country Name	8
Currency Code	1
Day of Month	3
Day of Week	2
First Name	1
Floating Point Number	8
Full Name	8
Last Name	1
Latitude	4
License Plate	1
Longitude	4
Month Name	4
Month Number	4
Occupation	3
Postal Code	1
Price	1
Secondary Address	1
Slug	8
Street Address	1
Street Name	2
Time	1
U.S. State	8
U.S. State Abbreviation	6
URI	1
URL	8
Year	8
Zip Code	3
Likert scale	8
Gender	8
Letter grade	4
Race/Ethnicity	3
Marital status	2
Continents	1
Region	5
Age	3
Place	1
Abbreviation	1
Location	3
Structured field	6
Alphanumeric identifier	8
Percentage	7
ID	2
Numeric identifier	8

Training Hyperparameters

batch_size: (8, 8)
num_epochs: (4, 4)
max_steps: -1
sampling_strategy: oversampling
body_learning_rate: (2e-05, 1e-05)
head_learning_rate: 0.01
loss: CosineSimilarityLoss
distance_metric: cosine_distance
margin: 0.25
end_to_end: False
use_amp: False
warmup_proportion: 0.1
l2_weight: 0.01
seed: 42
eval_max_steps: -1
load_best_model_at_end: True

Training Results

Epoch	Step	Training Loss	Validation Loss
0.0001	1	0.4559	-
0.0069	50	0.1699	-
0.0139	100	0.155	-
0.0208	150	0.1671	-
0.0278	200	0.1705	-
0.0347	250	0.1417	-
0.0417	300	0.1193	-
0.0486	350	0.1377	-
0.0556	400	0.143	-
0.0625	450	0.1344	-
0.0695	500	0.1367	-
0.0764	550	0.1317	-
0.0834	600	0.0951	-
0.0903	650	0.1051	-
0.0973	700	0.099	-
0.1042	750	0.1038	-
0.1112	800	0.0948	-
0.1181	850	0.0924	-
0.1251	900	0.0748	-
0.1320	950	0.0792	-
0.1389	1000	0.0805	-
0.1459	1050	0.0779	-
0.1528	1100	0.0689	-
0.1598	1150	0.0595	-
0.1667	1200	0.0639	-
0.1737	1250	0.0589	-
0.1806	1300	0.0649	-
0.1876	1350	0.0589	-
0.1945	1400	0.0548	-
0.2015	1450	0.0634	-
0.2084	1500	0.053	-
0.2154	1550	0.0528	-
0.2223	1600	0.0553	-
0.2293	1650	0.0548	-
0.2362	1700	0.0433	-
0.2432	1750	0.0431	-
0.2501	1800	0.0423	-
0.2571	1850	0.0405	-
0.2640	1900	0.0448	-
0.2709	1950	0.0446	-
0.2779	2000	0.0332	-
0.2848	2050	0.0398	-
0.2918	2100	0.0384	-
0.2987	2150	0.0279	-
0.3057	2200	0.0296	-
0.3126	2250	0.0368	-
0.3196	2300	0.0295	-
0.3265	2350	0.0274	-
0.3335	2400	0.0373	-
0.3404	2450	0.0257	-
0.3474	2500	0.0285	-
0.3543	2550	0.0309	-
0.3613	2600	0.0245	-
0.3682	2650	0.0241	-
0.3752	2700	0.0233	-
0.3821	2750	0.0208	-
0.3891	2800	0.02	-
0.3960	2850	0.0219	-
0.4029	2900	0.0203	-
0.4099	2950	0.0213	-
0.4168	3000	0.0292	-
0.4238	3050	0.0204	-
0.4307	3100	0.0182	-
0.4377	3150	0.0239	-
0.4446	3200	0.0161	-
0.4516	3250	0.0243	-
0.4585	3300	0.0168	-
0.4655	3350	0.0195	-
0.4724	3400	0.0152	-
0.4794	3450	0.0178	-
0.4863	3500	0.0171	-
0.4933	3550	0.0126	-
0.5002	3600	0.0192	-
0.5072	3650	0.0132	-
0.5141	3700	0.0145	-
0.5211	3750	0.0139	-
0.5280	3800	0.0132	-
0.5349	3850	0.0147	-
0.5419	3900	0.0159	-
0.5488	3950	0.0132	-
0.5558	4000	0.0136	-
0.5627	4050	0.018	-
0.5697	4100	0.0189	-
0.5766	4150	0.0131	-
0.5836	4200	0.0162	-
0.5905	4250	0.0178	-
0.5975	4300	0.0107	-
0.6044	4350	0.0133	-
0.6114	4400	0.0184	-
0.6183	4450	0.0134	-
0.6253	4500	0.0159	-
0.6322	4550	0.0147	-
0.6392	4600	0.0082	-
0.6461	4650	0.0132	-
0.6530	4700	0.0124	-
0.6600	4750	0.012	-
0.6669	4800	0.0159	-
0.6739	4850	0.0146	-
0.6808	4900	0.0118	-
0.6878	4950	0.0146	-
0.6947	5000	0.0121	-
0.7017	5050	0.0121	-
0.7086	5100	0.009	-
0.7156	5150	0.0093	-
0.7225	5200	0.0132	-
0.7295	5250	0.0115	-
0.7364	5300	0.0122	-
0.7434	5350	0.0125	-
0.7503	5400	0.011	-
0.7573	5450	0.0116	-
0.7642	5500	0.0139	-
0.7712	5550	0.0134	-
0.7781	5600	0.0088	-
0.7850	5650	0.0116	-
0.7920	5700	0.0095	-
0.7989	5750	0.0093	-
0.8059	5800	0.0076	-
0.8128	5850	0.0088	-
0.8198	5900	0.0094	-
0.8267	5950	0.0077	-
0.8337	6000	0.0102	-
0.8406	6050	0.0113	-
0.8476	6100	0.0086	-
0.8545	6150	0.0147	-
0.8615	6200	0.0074	-
0.8684	6250	0.0066	-
0.8754	6300	0.0055	-
0.8823	6350	0.0082	-
0.8893	6400	0.0077	-
0.8962	6450	0.0055	-
0.9032	6500	0.0072	-
0.9101	6550	0.0098	-
0.9170	6600	0.0095	-
0.9240	6650	0.0085	-
0.9309	6700	0.0111	-
0.9379	6750	0.0069	-
0.9448	6800	0.0109	-
0.9518	6850	0.0077	-
0.9587	6900	0.0081	-
0.9657	6950	0.0046	-
0.9726	7000	0.0068	-
0.9796	7050	0.0072	-
0.9865	7100	0.0044	-
0.9935	7150	0.0037	-
1.0	7197	-	0.1627
1.0004	7200	0.0067	-
1.0074	7250	0.0054	-
1.0143	7300	0.0093	-
1.0213	7350	0.0052	-
1.0282	7400	0.0066	-
1.0352	7450	0.007	-
1.0421	7500	0.0037	-
1.0490	7550	0.0116	-
1.0560	7600	0.0085	-
1.0629	7650	0.0075	-
1.0699	7700	0.0042	-
1.0768	7750	0.0048	-
1.0838	7800	0.0039	-
1.0907	7850	0.0056	-
1.0977	7900	0.0075	-
1.1046	7950	0.0052	-
1.1116	8000	0.0038	-
1.1185	8050	0.008	-
1.1255	8100	0.0041	-
1.1324	8150	0.0032	-
1.1394	8200	0.0084	-
1.1463	8250	0.0107	-
1.1533	8300	0.0044	-
1.1602	8350	0.0036	-
1.1672	8400	0.0049	-
1.1741	8450	0.0036	-
1.1810	8500	0.0066	-
1.1880	8550	0.0046	-
1.1949	8600	0.0044	-
1.2019	8650	0.0039	-
1.2088	8700	0.0069	-
1.2158	8750	0.0029	-
1.2227	8800	0.0076	-
1.2297	8850	0.0034	-
1.2366	8900	0.0066	-
1.2436	8950	0.0029	-
1.2505	9000	0.0033	-
1.2575	9050	0.0051	-
1.2644	9100	0.0042	-
1.2714	9150	0.0034	-
1.2783	9200	0.0038	-
1.2853	9250	0.0045	-
1.2922	9300	0.0031	-
1.2992	9350	0.0031	-
1.3061	9400	0.0026	-
1.3130	9450	0.0025	-
1.3200	9500	0.0025	-
1.3269	9550	0.0029	-
1.3339	9600	0.0059	-
1.3408	9650	0.0044	-
1.3478	9700	0.0023	-
1.3547	9750	0.0047	-
1.3617	9800	0.0025	-
1.3686	9850	0.0021	-
1.3756	9900	0.0048	-
1.3825	9950	0.0028	-
1.3895	10000	0.0022	-
1.3964	10050	0.004	-
1.4034	10100	0.0049	-
1.4103	10150	0.004	-
1.4173	10200	0.0039	-
1.4242	10250	0.0023	-
1.4312	10300	0.0021	-
1.4381	10350	0.0035	-
1.4450	10400	0.0019	-
1.4520	10450	0.0026	-
1.4589	10500	0.002	-
1.4659	10550	0.0022	-
1.4728	10600	0.0066	-
1.4798	10650	0.0058	-
1.4867	10700	0.0026	-
1.4937	10750	0.0018	-
1.5006	10800	0.0021	-
1.5076	10850	0.0039	-
1.5145	10900	0.0025	-
1.5215	10950	0.0018	-
1.5284	11000	0.0051	-
1.5354	11050	0.0028	-
1.5423	11100	0.0018	-
1.5493	11150	0.0019	-
1.5562	11200	0.0046	-
1.5632	11250	0.0024	-
1.5701	11300	0.0031	-
1.5770	11350	0.0028	-
1.5840	11400	0.0027	-
1.5909	11450	0.0023	-
1.5979	11500	0.002	-
1.6048	11550	0.0021	-
1.6118	11600	0.0016	-
1.6187	11650	0.003	-
1.6257	11700	0.0028	-
1.6326	11750	0.0019	-
1.6396	11800	0.002	-
1.6465	11850	0.002	-
1.6535	11900	0.0016	-
1.6604	11950	0.0016	-
1.6674	12000	0.0017	-
1.6743	12050	0.0015	-
1.6813	12100	0.0017	-
1.6882	12150	0.0028	-
1.6952	12200	0.002	-
1.7021	12250	0.0018	-
1.7090	12300	0.0019	-
1.7160	12350	0.0046	-
1.7229	12400	0.0014	-
1.7299	12450	0.0028	-
1.7368	12500	0.0017	-
1.7438	12550	0.0017	-
1.7507	12600	0.0015	-
1.7577	12650	0.0029	-
1.7646	12700	0.0046	-
1.7716	12750	0.0035	-
1.7785	12800	0.0035	-
1.7855	12850	0.0017	-
1.7924	12900	0.0016	-
1.7994	12950	0.0017	-
1.8063	13000	0.0012	-
1.8133	13050	0.0035	-
1.8202	13100	0.0019	-
1.8272	13150	0.0037	-
1.8341	13200	0.0016	-
1.8410	13250	0.0032	-
1.8480	13300	0.0018	-
1.8549	13350	0.0013	-
1.8619	13400	0.0034	-
1.8688	13450	0.0016	-
1.8758	13500	0.002	-
1.8827	13550	0.0013	-
1.8897	13600	0.0016	-
1.8966	13650	0.0013	-
1.9036	13700	0.0016	-
1.9105	13750	0.0012	-
1.9175	13800	0.0029	-
1.9244	13850	0.0013	-
1.9314	13900	0.0028	-
1.9383	13950	0.0012	-
1.9453	14000	0.0012	-
1.9522	14050	0.002	-
1.9591	14100	0.0013	-
1.9661	14150	0.0032	-
1.9730	14200	0.0016	-
1.9800	14250	0.0013	-
1.9869	14300	0.0014	-
1.9939	14350	0.0028	-
2.0	14394	-	0.1425
2.0008	14400	0.0012	-
2.0078	14450	0.0013	-
2.0147	14500	0.0029	-
2.0217	14550	0.0012	-
2.0286	14600	0.0012	-
2.0356	14650	0.0011	-
2.0425	14700	0.0011	-
2.0495	14750	0.0036	-
2.0564	14800	0.0013	-
2.0634	14850	0.0013	-
2.0703	14900	0.0029	-
2.0773	14950	0.0018	-
2.0842	15000	0.0012	-
2.0911	15050	0.0012	-
2.0981	15100	0.0029	-
2.1050	15150	0.0027	-
2.1120	15200	0.0015	-
2.1189	15250	0.0015	-
2.1259	15300	0.0015	-
2.1328	15350	0.001	-
2.1398	15400	0.0028	-
2.1467	15450	0.0028	-
2.1537	15500	0.0013	-
2.1606	15550	0.0012	-
2.1676	15600	0.001	-
2.1745	15650	0.0026	-
2.1815	15700	0.0014	-
2.1884	15750	0.0011	-
2.1954	15800	0.0008	-
2.2023	15850	0.0012	-
2.2093	15900	0.0014	-
2.2162	15950	0.0012	-
2.2231	16000	0.0026	-
2.2301	16050	0.0011	-
2.2370	16100	0.001	-
2.2440	16150	0.001	-
2.2509	16200	0.001	-
2.2579	16250	0.001	-
2.2648	16300	0.0028	-
2.2718	16350	0.0014	-
2.2787	16400	0.0046	-
2.2857	16450	0.001	-
2.2926	16500	0.0012	-
2.2996	16550	0.001	-
2.3065	16600	0.0011	-
2.3135	16650	0.0009	-
2.3204	16700	0.001	-
2.3274	16750	0.0009	-
2.3343	16800	0.001	-
2.3413	16850	0.001	-
2.3482	16900	0.0009	-
2.3551	16950	0.0026	-
2.3621	17000	0.0022	-
2.3690	17050	0.0009	-
2.3760	17100	0.001	-
2.3829	17150	0.0008	-
2.3899	17200	0.0029	-
2.3968	17250	0.001	-
2.4038	17300	0.001	-
2.4107	17350	0.001	-
2.4177	17400	0.0013	-
2.4246	17450	0.0011	-
2.4316	17500	0.0008	-
2.4385	17550	0.0009	-
2.4455	17600	0.0007	-
2.4524	17650	0.0033	-
2.4594	17700	0.0009	-
2.4663	17750	0.0009	-
2.4733	17800	0.0014	-
2.4802	17850	0.0027	-
2.4871	17900	0.001	-
2.4941	17950	0.0017	-
2.5010	18000	0.001	-
2.5080	18050	0.0023	-
2.5149	18100	0.0031	-
2.5219	18150	0.001	-
2.5288	18200	0.0008	-
2.5358	18250	0.0008	-
2.5427	18300	0.0009	-
2.5497	18350	0.0011	-
2.5566	18400	0.0009	-
2.5636	18450	0.0012	-
2.5705	18500	0.0011	-
2.5775	18550	0.0008	-
2.5844	18600	0.0025	-
2.5914	18650	0.0009	-
2.5983	18700	0.0009	-
2.6053	18750	0.0008	-
2.6122	18800	0.0008	-
2.6191	18850	0.0008	-
2.6261	18900	0.0008	-
2.6330	18950	0.0008	-
2.6400	19000	0.0009	-
2.6469	19050	0.0007	-
2.6539	19100	0.0008	-
2.6608	19150	0.0007	-
2.6678	19200	0.0008	-
2.6747	19250	0.0008	-
2.6817	19300	0.0009	-
2.6886	19350	0.0007	-
2.6956	19400	0.0009	-
2.7025	19450	0.0009	-
2.7095	19500	0.0012	-
2.7164	19550	0.0007	-
2.7234	19600	0.0008	-
2.7303	19650	0.0009	-
2.7373	19700	0.0023	-
2.7442	19750	0.001	-
2.7511	19800	0.0041	-
2.7581	19850	0.0011	-
2.7650	19900	0.0009	-
2.7720	19950	0.0008	-
2.7789	20000	0.0009	-
2.7859	20050	0.0009	-
2.7928	20100	0.0009	-
2.7998	20150	0.0012	-
2.8067	20200	0.0007	-
2.8137	20250	0.0008	-
2.8206	20300	0.0007	-
2.8276	20350	0.001	-
2.8345	20400	0.0006	-
2.8415	20450	0.0021	-
2.8484	20500	0.0007	-
2.8554	20550	0.0013	-
2.8623	20600	0.0007	-
2.8693	20650	0.0008	-
2.8762	20700	0.0009	-
2.8831	20750	0.0007	-
2.8901	20800	0.0007	-
2.8970	20850	0.0006	-
2.9040	20900	0.0022	-
2.9109	20950	0.0006	-
2.9179	21000	0.0007	-
2.9248	21050	0.0008	-
2.9318	21100	0.0007	-
2.9387	21150	0.0006	-
2.9457	21200	0.0023	-
2.9526	21250	0.0009	-
2.9596	21300	0.0038	-
2.9665	21350	0.0008	-
2.9735	21400	0.0008	-
2.9804	21450	0.0007	-
2.9874	21500	0.0008	-
2.9943	21550	0.0006	-
3.0	21591	-	0.1358
3.0013	21600	0.0012	-
3.0082	21650	0.0007	-
3.0151	21700	0.0018	-
3.0221	21750	0.0005	-
3.0290	21800	0.0008	-
3.0360	21850	0.0006	-
3.0429	21900	0.0006	-
3.0499	21950	0.0019	-
3.0568	22000	0.0007	-
3.0638	22050	0.0007	-
3.0707	22100	0.0006	-
3.0777	22150	0.0005	-
3.0846	22200	0.0006	-
3.0916	22250	0.0021	-
3.0985	22300	0.0022	-
3.1055	22350	0.0007	-
3.1124	22400	0.0007	-
3.1194	22450	0.0007	-
3.1263	22500	0.0006	-
3.1332	22550	0.0006	-
3.1402	22600	0.0016	-
3.1471	22650	0.003	-
3.1541	22700	0.0007	-
3.1610	22750	0.0008	-
3.1680	22800	0.0006	-
3.1749	22850	0.0006	-
3.1819	22900	0.0005	-
3.1888	22950	0.0018	-
3.1958	23000	0.0007	-
3.2027	23050	0.0009	-
3.2097	23100	0.0006	-
3.2166	23150	0.0006	-
3.2236	23200	0.0008	-
3.2305	23250	0.0005	-
3.2375	23300	0.0006	-
3.2444	23350	0.0007	-
3.2514	23400	0.0006	-
3.2583	23450	0.0006	-
3.2652	23500	0.0007	-
3.2722	23550	0.0005	-
3.2791	23600	0.0015	-
3.2861	23650	0.0006	-
3.2930	23700	0.0007	-
3.3000	23750	0.0018	-
3.3069	23800	0.0008	-
3.3139	23850	0.0005	-
3.3208	23900	0.0021	-
3.3278	23950	0.0006	-
3.3347	24000	0.0011	-
3.3417	24050	0.0007	-
3.3486	24100	0.0007	-
3.3556	24150	0.0009	-
3.3625	24200	0.0006	-
3.3695	24250	0.0007	-
3.3764	24300	0.0015	-
3.3834	24350	0.0008	-
3.3903	24400	0.0006	-
3.3972	24450	0.0007	-
3.4042	24500	0.0005	-
3.4111	24550	0.0005	-
3.4181	24600	0.0006	-
3.4250	24650	0.0005	-
3.4320	24700	0.0007	-
3.4389	24750	0.0006	-
3.4459	24800	0.0006	-
3.4528	24850	0.0007	-
3.4598	24900	0.0018	-
3.4667	24950	0.0006	-
3.4737	25000	0.0006	-
3.4806	25050	0.0005	-
3.4876	25100	0.0006	-
3.4945	25150	0.0007	-
3.5015	25200	0.0006	-
3.5084	25250	0.0005	-
3.5154	25300	0.0006	-
3.5223	25350	0.0022	-
3.5292	25400	0.0034	-
3.5362	25450	0.0005	-
3.5431	25500	0.0006	-
3.5501	25550	0.0005	-
3.5570	25600	0.0006	-
3.5640	25650	0.0007	-
3.5709	25700	0.0006	-
3.5779	25750	0.0005	-
3.5848	25800	0.0006	-
3.5918	25850	0.0005	-
3.5987	25900	0.0013	-
3.6057	25950	0.0006	-
3.6126	26000	0.0006	-
3.6196	26050	0.0006	-
3.6265	26100	0.0006	-
3.6335	26150	0.0005	-
3.6404	26200	0.0006	-
3.6474	26250	0.0016	-
3.6543	26300	0.0009	-
3.6612	26350	0.0005	-
3.6682	26400	0.0006	-
3.6751	26450	0.0005	-
3.6821	26500	0.0005	-
3.6890	26550	0.0007	-
3.6960	26600	0.0005	-
3.7029	26650	0.0037	-
3.7099	26700	0.0006	-
3.7168	26750	0.0007	-
3.7238	26800	0.0007	-
3.7307	26850	0.0017	-
3.7377	26900	0.0005	-
3.7446	26950	0.0006	-
3.7516	27000	0.0005	-
3.7585	27050	0.0006	-
3.7655	27100	0.0006	-
3.7724	27150	0.0017	-
3.7794	27200	0.0007	-
3.7863	27250	0.0014	-
3.7932	27300	0.0021	-
3.8002	27350	0.0005	-
3.8071	27400	0.0007	-
3.8141	27450	0.0006	-
3.8210	27500	0.0017	-
3.8280	27550	0.0006	-
3.8349	27600	0.0006	-
3.8419	27650	0.0005	-
3.8488	27700	0.0007	-
3.8558	27750	0.0018	-
3.8627	27800	0.001	-
3.8697	27850	0.0005	-
3.8766	27900	0.0004	-
3.8836	27950	0.0005	-
3.8905	28000	0.0006	-
3.8975	28050	0.0006	-
3.9044	28100	0.0005	-
3.9114	28150	0.0005	-
3.9183	28200	0.0005	-
3.9252	28250	0.0006	-
3.9322	28300	0.0005	-
3.9391	28350	0.0011	-
3.9461	28400	0.0006	-
3.9530	28450	0.0004	-
3.9600	28500	0.0006	-
3.9669	28550	0.0005	-
3.9739	28600	0.0005	-
3.9808	28650	0.0015	-
3.9878	28700	0.0005	-
3.9947	28750	0.0005	-
4.0	28788	-	0.1340

Framework Versions

Python: 3.11.10
SetFit: 1.1.0
Sentence Transformers: 3.2.0
Transformers: 4.45.2
PyTorch: 2.4.1+cu124
Datasets: 3.0.1
Tokenizers: 0.20.1

Citation

BibTeX

bibtex

@article{https://doi.org/10.48550/arxiv.2209.11055,
    doi = {10.48550/ARXIV.2209.11055},
    url = {https://arxiv.org/abs/2209.11055},
    author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
    keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
    title = {Efficient Few-Shot Learning Without Prompts},
    publisher = {arXiv},
    year = {2022},
    copyright = {Creative Commons Attribution 4.0 International}
}