Hugging Face's logo

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

Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results
Model card Files Community
Edit model card

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:

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

Model Details

Model Description

Model Sources

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
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 BÅ“uf 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
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.

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 

@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}
}
Downloads last month
2
Safetensors
Model size
17.4M params
Tensor type
F32
·
Inference Examples
Text Classification
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for quantisan/paraphrase-MiniLM-L3-v2-93dataset-v3labels

Base model

sentence-transformers/paraphrase-MiniLM-L3-v2
Finetuned
(19)
this model

Evaluation results

View on Papers With Code