---
base_model: intfloat/e5-base-v2
library_name: setfit
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: 'metrics.statistics.syllables: 170648.1, 7686.9, 33810.3, 106802.1, 28752.3,
132642.9, 29187.0, 92593.8, 55913.4, 33722.1, 294744.6, 137215.8, 240762.6, 363292.2,
183016.8, 4864.5, 202932.9, 71705.7, 105003.9, 787942.8'
- text: 'company.sector: Software, Finance, Communications, pharmaceuticals, technology,
Fashion, real estate, software, banking and insurance, groceries, construction/real
estate/banking, Oil refining, Oil refining, retail, retail, casinos, food
packaging, cars, cosmetics, None'
- text: 'variety: Western, Eastern'
- text: 'Data.Fiber: 0.0, 0.2, 0.3, 0.4, 0.7, 0.1, 1.0, 0.6, 0.5, 1.9, 1.1, 2.3, 0.8,
1.6, 0.9, 1.2, 37.0, 4.5, 9.1, 1.5'
- text: 'Date.Month: 8, 3, 4, 5, 6, 7, 9, 10, 11, 12, 1, 2'
inference: true
model-index:
- name: SetFit with intfloat/e5-base-v2
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: Unknown
type: unknown
split: test
metrics:
- type: accuracy
value: 0.7398286937901499
name: Accuracy
---
# SetFit with intfloat/e5-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [intfloat/e5-base-v2](https://huggingface.co/intfloat/e5-base-v2) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) 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](https://www.sbert.net) with contrastive learning.
2. 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](https://huggingface.co/intfloat/e5-base-v2)
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **Maximum Sequence Length:** 512 tokens
- **Number of Classes:** 58 classes
### Model Sources
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
### 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 | |
| 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:
```bash
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/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
```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}
}
```