SetFit with intfloat/e5-base-v2

This is a SetFit model that can be used for Text Classification. This SetFit model uses intfloat/e5-base-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: intfloat/e5-base-v2
Classification head: a LogisticRegression instance
Maximum Sequence Length: 512 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	0.7398

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/e5-base-v2-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: (16, 16)
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
0.0003	1	0.1692	-
0.0139	50	0.3234	-
0.0278	100	0.2804	-
0.0417	150	0.2274	-
0.0556	200	0.1621	-
0.0695	250	0.1139	-
0.0834	300	0.0825	-
0.0972	350	0.0681	-
0.1111	400	0.0658	-
0.1250	450	0.0474	-
0.1389	500	0.0387	-
0.1528	550	0.0368	-
0.1667	600	0.0231	-
0.1806	650	0.029	-
0.1945	700	0.0242	-
0.2084	750	0.0248	-
0.2223	800	0.0238	-
0.2362	850	0.0171	-
0.2501	900	0.0158	-
0.2640	950	0.0182	-
0.2779	1000	0.0127	-
0.2917	1050	0.0141	-
0.3056	1100	0.009	-
0.3195	1150	0.0136	-
0.3334	1200	0.0095	-
0.3473	1250	0.0072	-
0.3612	1300	0.01	-
0.3751	1350	0.0074	-
0.3890	1400	0.0048	-
0.4029	1450	0.0042	-
0.4168	1500	0.0129	-
0.4307	1550	0.0058	-
0.4446	1600	0.0074	-
0.4585	1650	0.007	-
0.4724	1700	0.0028	-
0.4862	1750	0.0027	-
0.5001	1800	0.0041	-
0.5140	1850	0.0039	-
0.5279	1900	0.0015	-
0.5418	1950	0.0038	-
0.5557	2000	0.0013	-
0.5696	2050	0.0028	-
0.5835	2100	0.003	-
0.5974	2150	0.0033	-
0.6113	2200	0.0024	-
0.6252	2250	0.0032	-
0.6391	2300	0.0008	-
0.6530	2350	0.0008	-
0.6669	2400	0.0019	-
0.6807	2450	0.0009	-
0.6946	2500	0.0029	-
0.7085	2550	0.0018	-
0.7224	2600	0.0035	-
0.7363	2650	0.0011	-
0.7502	2700	0.0019	-
0.7641	2750	0.0022	-
0.7780	2800	0.0006	-
0.7919	2850	0.0008	-
0.8058	2900	0.0007	-
0.8197	2950	0.0017	-
0.8336	3000	0.0018	-
0.8475	3050	0.0013	-
0.8614	3100	0.0026	-
0.8752	3150	0.0024	-
0.8891	3200	0.0017	-
0.9030	3250	0.0009	-
0.9169	3300	0.0019	-
0.9308	3350	0.0038	-
0.9447	3400	0.004	-
0.9586	3450	0.0013	-
0.9725	3500	0.0009	-
0.9864	3550	0.0006	-
1.0	3599	-	0.1209
1.0003	3600	0.0017	-
1.0142	3650	0.0005	-
1.0281	3700	0.0005	-
1.0420	3750	0.0004	-
1.0558	3800	0.0023	-
1.0697	3850	0.0005	-
1.0836	3900	0.0004	-
1.0975	3950	0.0016	-
1.1114	4000	0.0004	-
1.1253	4050	0.0015	-
1.1392	4100	0.0005	-
1.1531	4150	0.0017	-
1.1670	4200	0.0004	-
1.1809	4250	0.001	-
1.1948	4300	0.0004	-
1.2087	4350	0.0015	-
1.2226	4400	0.0004	-
1.2365	4450	0.0012	-
1.2503	4500	0.0004	-
1.2642	4550	0.0016	-
1.2781	4600	0.0005	-
1.2920	4650	0.0017	-
1.3059	4700	0.0003	-
1.3198	4750	0.0007	-
1.3337	4800	0.0003	-
1.3476	4850	0.0016	-
1.3615	4900	0.0014	-
1.3754	4950	0.0004	-
1.3893	5000	0.0004	-
1.4032	5050	0.0004	-
1.4171	5100	0.0004	-
1.4310	5150	0.0004	-
1.4448	5200	0.0003	-
1.4587	5250	0.0005	-
1.4726	5300	0.0003	-
1.4865	5350	0.0016	-
1.5004	5400	0.0003	-
1.5143	5450	0.0003	-
1.5282	5500	0.0003	-
1.5421	5550	0.0003	-
1.5560	5600	0.0003	-
1.5699	5650	0.0003	-
1.5838	5700	0.0003	-
1.5977	5750	0.0003	-
1.6116	5800	0.0003	-
1.6255	5850	0.0003	-
1.6393	5900	0.0002	-
1.6532	5950	0.0002	-
1.6671	6000	0.0002	-
1.6810	6050	0.0002	-
1.6949	6100	0.0003	-
1.7088	6150	0.0011	-
1.7227	6200	0.0022	-
1.7366	6250	0.0027	-
1.7505	6300	0.006	-
1.7644	6350	0.0042	-
1.7783	6400	0.0038	-
1.7922	6450	0.0039	-
1.8061	6500	0.0007	-
1.8199	6550	0.0037	-
1.8338	6600	0.003	-
1.8477	6650	0.0037	-
1.8616	6700	0.0006	-
1.8755	6750	0.0005	-
1.8894	6800	0.0003	-
1.9033	6850	0.0014	-
1.9172	6900	0.0011	-
1.9311	6950	0.0004	-
1.9450	7000	0.0003	-
1.9589	7050	0.0004	-
1.9728	7100	0.0016	-
1.9867	7150	0.0002	-
2.0	7198	-	0.1146
2.0006	7200	0.0013	-
2.0144	7250	0.0002	-
2.0283	7300	0.0002	-
2.0422	7350	0.0003	-
2.0561	7400	0.0018	-
2.0700	7450	0.001	-
2.0839	7500	0.0003	-
2.0978	7550	0.0011	-
2.1117	7600	0.002	-
2.1256	7650	0.0004	-
2.1395	7700	0.0002	-
2.1534	7750	0.0013	-
2.1673	7800	0.0002	-
2.1812	7850	0.0011	-
2.1951	7900	0.0001	-
2.2089	7950	0.0002	-
2.2228	8000	0.0012	-
2.2367	8050	0.0002	-
2.2506	8100	0.0002	-
2.2645	8150	0.0008	-
2.2784	8200	0.0007	-
2.2923	8250	0.0014	-
2.3062	8300	0.0002	-
2.3201	8350	0.0002	-
2.3340	8400	0.0002	-
2.3479	8450	0.0007	-
2.3618	8500	0.001	-
2.3757	8550	0.0002	-
2.3896	8600	0.0014	-
2.4034	8650	0.0001	-
2.4173	8700	0.0003	-
2.4312	8750	0.0002	-
2.4451	8800	0.0001	-
2.4590	8850	0.0014	-
2.4729	8900	0.0002	-
2.4868	8950	0.0001	-
2.5007	9000	0.0001	-
2.5146	9050	0.0016	-
2.5285	9100	0.0002	-
2.5424	9150	0.0001	-
2.5563	9200	0.0002	-
2.5702	9250	0.0002	-
2.5841	9300	0.0001	-
2.5979	9350	0.0002	-
2.6118	9400	0.0001	-
2.6257	9450	0.0001	-
2.6396	9500	0.0002	-
2.6535	9550	0.0001	-
2.6674	9600	0.0001	-
2.6813	9650	0.0001	-
2.6952	9700	0.0001	-
2.7091	9750	0.0002	-
2.7230	9800	0.0001	-
2.7369	9850	0.001	-
2.7508	9900	0.0002	-
2.7647	9950	0.0001	-
2.7785	10000	0.0001	-
2.7924	10050	0.0001	-
2.8063	10100	0.0002	-
2.8202	10150	0.0001	-
2.8341	10200	0.0001	-
2.8480	10250	0.0008	-
2.8619	10300	0.0001	-
2.8758	10350	0.0001	-
2.8897	10400	0.0001	-
2.9036	10450	0.0002	-
2.9175	10500	0.0001	-
2.9314	10550	0.0001	-
2.9453	10600	0.0001	-
2.9592	10650	0.0006	-
2.9730	10700	0.0009	-
2.9869	10750	0.0003	-
3.0	10797	-	0.1168
3.0008	10800	0.0001	-
3.0147	10850	0.0001	-
3.0286	10900	0.0001	-
3.0425	10950	0.0001	-
3.0564	11000	0.0001	-
3.0703	11050	0.0001	-
3.0842	11100	0.0001	-
3.0981	11150	0.0008	-
3.1120	11200	0.0001	-
3.1259	11250	0.0001	-
3.1398	11300	0.0001	-
3.1537	11350	0.0006	-
3.1675	11400	0.0001	-
3.1814	11450	0.0001	-
3.1953	11500	0.0002	-
3.2092	11550	0.0001	-
3.2231	11600	0.0001	-
3.2370	11650	0.0001	-
3.2509	11700	0.0001	-
3.2648	11750	0.0001	-
3.2787	11800	0.0001	-
3.2926	11850	0.0001	-
3.3065	11900	0.0001	-
3.3204	11950	0.0001	-
3.3343	12000	0.0001	-
3.3482	12050	0.0001	-
3.3620	12100	0.0001	-
3.3759	12150	0.0001	-
3.3898	12200	0.0001	-
3.4037	12250	0.0001	-
3.4176	12300	0.0001	-
3.4315	12350	0.0001	-
3.4454	12400	0.0001	-
3.4593	12450	0.0001	-
3.4732	12500	0.0001	-
3.4871	12550	0.0001	-
3.5010	12600	0.0001	-
3.5149	12650	0.0001	-
3.5288	12700	0.0001	-
3.5427	12750	0.0001	-
3.5565	12800	0.0001	-
3.5704	12850	0.0001	-
3.5843	12900	0.0001	-
3.5982	12950	0.0001	-
3.6121	13000	0.0001	-
3.6260	13050	0.0001	-
3.6399	13100	0.0001	-
3.6538	13150	0.0001	-
3.6677	13200	0.0001	-
3.6816	13250	0.0001	-
3.6955	13300	0.0001	-
3.7094	13350	0.0001	-
3.7233	13400	0.0001	-
3.7371	13450	0.0001	-
3.7510	13500	0.0001	-
3.7649	13550	0.0001	-
3.7788	13600	0.0001	-
3.7927	13650	0.0001	-
3.8066	13700	0.0001	-
3.8205	13750	0.0001	-
3.8344	13800	0.0001	-
3.8483	13850	0.0001	-
3.8622	13900	0.0001	-
3.8761	13950	0.0001	-
3.8900	14000	0.0001	-
3.9039	14050	0.0001	-
3.9178	14100	0.0001	-
3.9316	14150	0.0001	-
3.9455	14200	0.0001	-
3.9594	14250	0.0001	-
3.9733	14300	0.0001	-
3.9872	14350	0.0001	-
4.0	14396	-	0.1199

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}
}

quantisan
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e5-base-v2-v3labels