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svorwerk/
setfit-fine-tuned-demo-class_hpo

Name: setfit-fine-tuned-demo-class_hpo
Availability: InStock

setfit

safetensors

mpnet

sentence-transformers

text-classification

generated_from_setfit_trainer

2209.11055

sentence-transformers/all-mpnet-base-v2

finetune

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SetFit with sentence-transformers/all-mpnet-base-v2

This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/all-mpnet-base-v2 as the Sentence Transformer embedding model. A SetFitHead instance is used for classification.

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

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

Model Details

Model Description

Model Type: SetFit
Sentence Transformer body: sentence-transformers/all-mpnet-base-v2
Classification head: a SetFitHead instance
Maximum Sequence Length: 384 tokens
Number of Classes: 15 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
2	'FLSA STATUS DESCR: Exempt; Non-Exempt; nan' 'Pay Rate Type: Hourly; Hourly Salary; Hourly/Salary; Salaried; Salary; nan' 'Employee Level: Executive; Exempt professional; Non-exempt professional; Supervisor/Manager; nan'
3	'Is Manager: N; Y; nan' 'Job Level Name: Architect and Lead/Principal Individual Contributor; Architect and¬†Lead/Principal¬†Individual Contributor; Associate/Intern; Chief Architect/Technical Fellow; Chief Operating Officer; Director; EVP; Fellow and Chief Architect; Group President/Sr EVP; Individual Contributor; People Manager/Sr Mgr; President and CEO; SVP; Senior Individual Contributor; Senior Lead/Principal Architect; Sr EVP Chief Financial Officer; Supervisor; Vice President/Counsel/Controller; nan' 'Is Manager: 0; 1; N; No; Y; Yes; nan'
5	'Function/MAG: nan' 'Functional Pipeline: Communications; Corporate & Government Affairs; Corporate Services; Data Analytics; Design; Digital; Finance; General Management; Human Resources; Legal; Logistics & Services; Manufacturing & Sourcing; Marketing; Merchandising; Product Creation; Product Management; Program/Process Excellence; Retail; Sales; Sports Marketing; Strategic Planning; Technology; Unassigned; Unknown; nan' 'JobClassDescription: ACCOUNTANTS - DEGREED; ADMINISTRATIVE SUPPORT; AIDES/ORDERLIES; CLERICAL OFFICE SUPPORT; CLINICAL SUPPORT; DRIVERS; EMPLOYED PHYSICIANS; HOME HEALTH CARE - AIDES; HOME HEALTH CARE - LVN; HOME HEALTH CARE - RN; LICENSED REGISTERED NURSES; LICENSED VOCATIONAL/PRACTICAL NURSES; MANAGERS; NON-PHYSICIAN MEDICAL PRACTITIONERS; OTHER PHYSICIANS; PHYSICIAN PRACTICE - LVN; PHYSICIAN PRACTICE - RN; Physicians (With Benefits); SUPERVISORS; SUPPORT SERVICES PATIENT CARE; TECHNICAL SUPPORT; TECHNICIANS; TECHNOLOGISTS/THERAPISTS; nan'
10	'Corp State: Alabama; Arizona; California; Colorado; Connecticut; Delaware; District of Columbia; Florida; Georgia; Idaho; Illinois; Indiana; Iowa; Is ; Kansas; Kentucky; Louisiana; Maine; Maryland; Massachusetts; Michigan; Milan; Minnesota; Mississippi; Missouri; Montana; Nebraska; Nevada; New Hampshire; New Jersey; New Mexico; New York; North Carolina; Ohio; Oklahoma; Oregon; Pennsylvania; Rhode Island; South Carolina; South Dakota; Tennessee; Texas; Turin; Utah; Virginia; Washington; West Virginia; Wisconsin; nan' "location__stateprovince: ??mm?n; Aargau; Agrigento; Aguascalientes; Aichi; Alabama; Alaska; Alberta; Alessandria; Alexandria; Aosta; Arizona; Arkansas; Auckland; Baden-Wurttemberg; Bangkok; Bari; Bavaria; Beijing; Bergamo; Bologna; Brescia; British Columbia; Buenos Aires; Busan; Cagliari; California; Canterbury; Caserta; Catania; Cebu; Central Singapore; Changhua County; Chiayi City; Ciudad de Mexico; Coahuila; Colorado; Como; Connecticut; Cortes; Delaware; District of Columbia; Distrito Federal; Dubai; Estado de M√©xico; Ferrara; Firenze; Florida; Fujian; Fukuoka; Genova; Georgia; Gifu; Graubunden; Guanajuato; Guangdong; Guatemala; Haryana; Hawaii; Hawke's Bay; Hiroshima; Ho Chi Minh; Hokkaido; Hong Kong Island; Hsinchu City; Hubei; Ibaraki; Idaho; Ilan County; Illinois; Indiana; Iowa; Ishikawa; Jakarta Raya; Jalisco; Jiangsu; Johor; Kanagawa; Kansas; Kaohsiung City; Karnataka; Kentucky; Kowloon; Lecce; Liaoning; Livorno; Louisiana; Maharashtra; Maine; Managua; Manitoba; Maryland; Massachusetts; Melaka; Messina; Miaoli County; Michigan; Milano; Minnesota; Mississippi; Missouri; Montana; Monza e Brianza; Morelos; Nagano; Napoli; Nebraska; Nevada; New Hampshire; New Jersey; New Mexico; New South Wales; New Taipei City; New Territories; New York; Newfoundland and Labrador; North Carolina; North Dakota; North Rhine-Westphalia; Nova Scotia; Novara; Nuevo Le√≥n; Ohio; Oklahoma; Ontario; Oregon; Osaka; Otago; PG_Asia_CHN_01; PG_Asia_HKG_01; PI CHE - VF International; Padova; Pahang; Panam√°; Parma; Pennsylvania; Phnom Penh; Piacenza; Pingtung County; Puebla; Puerto Rico; Pulau Pinang (Penang); Quebec; Quer√©taro; Quintana Roo; Rhode Island; Roma; Saitama; Salary; San Jose; San Salvador; Santiago; Saskatchewan; Selangor; Seoul; Shandong; Shanghai; Shanxi; Shizuoka; Sichuan; South Carolina; S√£o Paulo; Tabasco; Taichung City; Tainan City; Taipei City; Tamil Nadu; Taoyuan City; Tennessee; Texas; Tianjin; Ticino; Tochigi; Tokyo; Torino; Toyama; Treviso; Trieste; Utah; Varese; Venezia; Veracruz; Vermont; Verona; Vicenza; Victoria; Virginia; Washington; Wellington; West Virginia; Wilayah Persekutuan Kuala Lumpur; Wilayah Persekutuan Putrajaya; Wisconsin; Wyoming; Yucat√°n; Zhejiang; nan" 'Home State
12	'Tenure Category: 0 - 3 Months; 10 - 12 Months; 10 - 15 Years; 13 - 28 Months; 15 - 20 Years; 19 - 24 Months; 2 - 3 Years; 20+ Years; 3 - 5 Years; 4 - 6 Months; 5 - 10 Years; 7 - 9 Months; nan' 'Tenure with the Company: 0-3 months; 1-2 years; 11-15 years; 16-20 years; 21-25 years; 26-30 years; 3-5 years; 31 years or more; 4-6 months; 6-10 years; 7-12 months; nan' 'TENURE - Hire: 1 - 2 years; 11 - 15 years; 16 - 20 years; 3 - 5 years; 6 - 10 years; Less than 1 year; More than 20 years; nan'
6	'Location (Geographic): Argentina; Australia; Brazil; Canada; Canada - Living Sounds; China; China - Beijing; China - Suzhou; China, Beijing; China, Suzhou; Colombia; Dubai; France; Germany; Hungary; India; Israel; Italy; Japan; Kenya; Korea; Malaysia; Mexico, Matamoros; Mexico, Mexico City; New Zealand; Norway; Peru; Phillipines; Poland; Prefer not to answer; Romania; Singapore; United Kingdom; United States; nan' 'Country Name: Australia; Belgium; Brazil; Canada; Colombia; Costa Rica; France; India; Ireland; Italy; Luxembourg; Mexico; Netherlands; New Zealand; Philippines; Poland; Puerto Rico; Singapore; Spain; United Kingdom; United States of America; nan' 'Operating Company: MHPS-EDE; nan'
9	"HR Site Group: 84 SOUTH HEALTH CENTER; ACL LABS; ADVOCATE MEDICAL GROUP; AMC Bay Area; AMC GRAFTON; AMC KENOSHA; AMC MANITOWOC COUNTY; AMC OSHKOSH; AMC SUMMIT; AMC WASHINGTON COUNTY; AMG CONTACT CENTER; APP; AURORA BAYCARE MEDICAL CENTER; AURORA CLINICAL CONTACT CENTER; AURORA LAKELAND MEDICAL CENTER; AURORA MEMORIAL HOSPITAL OF BURLINGTON; AURORA PSYCH/BEHAVIORAL HEALTH; Aurora Health Care Medical Group : GBMM; Aurora Health Care Medical Group : GMNSC; Aurora Health Care Medical Group : GMS; Aurora Health Care Medical Group : OFDL; Aurora Health Care Medical Group : OTHER; Aurora Health Care Medical Group : RKL; Aurora Health Care Medical Group : SCWNWC; Aurora Health Care Medical Group : WJ; BROMENN MEDICAL CENTER/EUREKA; CHRIST MEDICAL CENTER; CONDELL MEDICAL CENTER; CORPORATE; Children's Hospital; GOOD SAMARITAN HOSPITAL; GOOD SHEPHERD HOSPITAL; ILLINOIS MASONIC MEDICAL CENTER; LUTHERAN GENERAL HOSPITAL; POST ACUTE NETWORK; SHEBOYGAN MEMORIAL; SHERMAN HOSPITAL; SINAI MEDICAL CENTER; SOUTH SUBURBAN HOSPITAL; ST. LUKE'S SOUTH SHORE; SYSTEM ANCILLARY SERVICES; SYSTEM SUPPORT SERVICES; St. Luke's Medical Center; TRINITY HOSPITAL; WEST ALLIS MEDICAL CENTER; nan" 'Affiliation(Affiliate): 9010 Admin; BCHC; BVRMC; Cherokee Regional Medical Center; Dubuque VNA; FORT DODGE REGION; GREENE COUNTY MEDICAL CENTER; Grundy Cnty Hospital; HCF Inc; Hancock County Senior Services; IA Health Acc Care; MERITER; Memorial Hospital; Pocahontas Community Hospital; Stewart Memorial Community Hospital; Sumner Comm Hospital; UP Clinic Affiliate; UP at Home Affiliate; UPC Peoria; UPH Allen; UPH CR St Lukes; UPH Contract Svc LC; UPH Des Moines; UPH FD Trinity Hlth; UPH FD Trinity Regnl; UPH Finley; UPH Grinnell; UPH Jones Regional; UPH Marshalltown; UPH Methodist; UPH Methodist Colleg; UPH Musc Trinity; UPH Pekin; UPH Proctor; UPH QC Trinity; UPH SC St Lukes; UPH at Work; UPH at Work QC; UnityPlace; UnityPoint Health - Keokuk; Virginia Gay Hospital; nan' 'region: ACP; CALIFORNIA; CAROLINAS; CENTRAL ZONE RM; EAST PENN/DE; EAST ZONE RM; FLORIDA; GREAT PLAINS; HANGER CLINIC SHARED SVCS; HANGER RESOURCE CENTER; HEARTLAND; HOUSTON; KEYSTONE; MICHIGAN; MID ATLANTIC; MIDWEST; NATL LABS; NEW ENGLAND; NORTH ATLANTIC; NORTHWEST; NY METRO; NY/NJ; OHIO VALLEY; ROCKY MOUNTAIN; SOUTH CENTRAL; SOUTHEAST; SOUTHWEST; SPS; TEXAS; WEST ZONE RM; nan'
4	'Union Status : I am a member of a union; I am not a member of union; nan' "Union Code: 122; 17; 399; 420; 781; AFSCME; AFSCME Local 3279; AFSCME Local 9; ALT; ARSA; Appointed; BDN; BKV; BLE; BMWE; BOL; BRCA; BRD; BRS; BRW; CAF; CAP; CAT; CAW; CBI; CBT; CE1; CE2; CE3; CE4; CEC; CED; CEL; CEN; CEQ; CET; CFC; CFF; CFO; CLB; CMA; CMN; CNA; CNR; COL; CPA; CPE; CPL; CPO; CPT; CSC; CSE; CSU; CTM; CTS; CVT; CX1; CX2; CX3; CX4; DBS; DVR; FNK; FRE; FRS; G01; G02; G04; G05; G06; G07; G08; G09; G10; G11; G12; G13; G14; G15; G16; G17; GCH; GGI; GGO; GGR; GVL; HTC; IAM; IBBB; IBEW; IBFO; IBT Lab Asst; IBT Lab Couriers; IBT PMCA Childrens; IBW; IDA; IUOE; IW; JOA AFSCME/SEIU HCMI; KU1; KU2; Laundry Workers Loca; Local 320; Local 321; Local 363; Local 49ers; MDL; MDX; MNA; MOD; MOO; MUR; Muldraugh Compressor Station; N01; N02; N03; NON; NUHW; NUR; None ; OIL; Operating Engineers; PNT; Police; R01; R02; R04; R05; R06; R10; R11; R12; R13; R15; R16; R17; R18; R19; R20; R22; R23; R24; R25; R26; R27; R31; R32; R33; R35; R36; R37; R38; R39; R40; R41; R42; R45; R46; R47; R48; R49; R50; R52; R55; R56; R57; R58; R59; RFT; RPT; RSP; SCP; SEC; SEIU; SEIU - PCA's at RIM; SMW; SPNNUNAC; STF; Service Emp Intn'l U; TCU; TCUASR; TCU_ICTF; TEAM; TSV; Trades; U; U01; U02; U04; U05; U06; U07; U10; U14; U19; U21; U22; U23; U24; U25; U26; U32; U37; U43; U44; U52; U53; U56; U76; U78; U83; U84; U85; U91; UA3; UAW Local 889; UB7; UB9; UC3; UD7; UD8; UE3; UE5; UE9; UF1; UF2; UF3; UF4; UFCW; UG1; UG5; UN5; UN6; UN7; UN8; UN9; UNAC; UNKNOWN; UPUYC-SP; UPUYC-UP; UTUC; UTUE; UTUT; UTUY-A&S; W02; W03; W04; W05; WC5; YRK; nan"
16	'Shift Question: Yes; nan' 'Work Schedule: 0-30 Hrs Wk; 0-38.5 Hrs Wk; 1 - 10%; 10 FR-MO; 10 M-TH; 10 M-TU TH-FR; 10 M-WE FR; 10 SU-WED; 10 TU-FR; 10 WE - SA; 11 - 20%; 1ST SHIFT; 21 - 30%; 2ND SHIFT; 31 - 40%; 37 Hrs Wk; 37.5 Hrs Wk; 38 Hrs Wk; 38.5 Hrs Wk; 39 Hrs Wk; 3RD SHIFT; 40 Hrs Wk; 41 - 50%; 41 Hrs Wk; 42.5 Hrs Wk; 44 Hrs Wk; 45 Hrs Wk; 48 Hrs Wk; 5/8 FR-SA Off; 5/8 MO-TU Off; 5/8 SU-MO Off; 5/8 TH-FR Off; 5/8 TU-WE Off; 5/8 WE-TH Off; 51 - 60%; 61 - 70%; 71 - 80%; 8 HRS 8am-5pm; 81 - 90%; 91 - 100%; KRONOS SHIFT 1; KRONOS SHIFT 2; KRONOS SHIFT 3; Mon-Fri 40 Hrs/Wk; OPS FLOOR Mo-Th-Fr; PART-TIME VERT. 60,5%; Part-time Oriz. 50%; Part-time Oriz. 60%; Part-time Oriz. 62%; Part-time Oriz. 62,5%; Part-time Oriz. 75%; Part-time Oriz. 87,5%; STANDARD 8-5; STANDARD 8:30am-5pm; STANDARD 8am - 5pm; STANDARD 9-5.30; STANDARD 9am - 6pm; STANDARD 9am-6pm; Service Tech. Field; TURNISTA; Turno PT Orizz. 75%; Turno PT Orizz. 87,5%; nan' 'Shift: 7; B; D; E; L; O; R; W; Z; nan'
14	'What has been your COVID 19 work arrangement?: Furloughed/Closed Location; Office; Other; Reduced Work Schedule; Remote/Work from Home; nan' 'Ability to Work Remotely: My primary job role can be done remotely with little or no disruption.; My primary job role is a mix - some can be done from anywhere and some can only be done from the physical work location.; My primary job role requires me to be physically present in my workplace.; nan'
1	'Race_Ethnicity: American Indian or Alaska Native (Not Hispanic or Latino) (United States of America); American Indian or Alaskan Native (United States of America); American¬†Indian¬†or¬†Alaskan¬†Native (United States of America); Asian (Not Hispanic or Latino) (United States of America); Asian (United States of America); Asian - Indian (United Kingdom); Asian - Other (United Kingdom); Asian - Pakistani (United Kingdom); Bai (China); Black - African (United Kingdom); Black - British (United Kingdom); Black - Caribbean (United Kingdom); Black or African American (Not Hispanic or Latino) (United States of America); Black or African American (United States of America); Black¬†or¬†African¬†American (United States of America); Buyei (China); Chinese (Singapore); Dai (China); Dong (China); Han (China); Hani (China); Hispanic or Latino (United States of America); Hispanic/Latino (United States of America); I do not wish to answer. (United States of America); Indian (Singapore); Li (China); Malay (Singapore); Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) (United States of America); Native Hawaiian or Other Pacific Islander (United States of America); Native¬†Hawaiian¬†or¬†Other¬†Pacific¬†Islander (United States of America); Not Declaring (United Kingdom); Not Reported; Other (Singapore); Other (United Kingdom); Tujia (China); Two or More Races (Not Hispanic or Latino) (United States of America); Two or More Races (United States of America); Two¬†or¬†More¬†Races (United States of America); White (Not Hispanic or Latino) (United States of America); White (United States of America); White - British (United Kingdom); White - Irish (United Kingdom); White - Other (United Kingdom); White - Other European (United Kingdom); Yi (China); Zhuang (China); nan' 'Which ethnicity/ethnicities do you most identify with?: Asian; Black; Hispanic or Latino; Other; Prefer not to respond; Two or More Races; White; nan' 'Ethnicity On File: 2 or more races, not Hispanc; American Indian/Alaska Nativ; Asian; Black/African American; Hispanic/Latino; Native Hawaiian/Oth Pacif Is; White; nan'
7	'FM_Merger_Cd: N; Y; nan' 'Acquisition Hire: Acquisition Hire; Non-Acquisition Hire; nan'
8	'Primary Termination Reason: Retained; Terminate Associate > Involuntary > Attendance; Terminate Associate > Involuntary > Death; Terminate Associate > Involuntary > Elimination of Position; Terminate Associate > Involuntary > Exhaustion of Leave; Terminate Associate > Involuntary > Falsification of Records; Terminate Associate > Involuntary > Gross Misconduct; Terminate Associate > Involuntary > Mutual Consent; Terminate Associate > Involuntary > Not re-new contract; Terminate Associate > Involuntary > Poor Job Performance; Terminate Associate > Involuntary > Severance; Terminate Associate > Involuntary > Tardiness; Terminate Associate > Involuntary > Violation of Rules; Terminate Associate > Involuntary > Workforce Reduction; Terminate Associate > Voluntary > Commute Time; Terminate Associate > Voluntary > Company Instability; Terminate Associate > Voluntary > Dissatisfied with Hours; Terminate Associate > Voluntary > Dissatisfied with Job; Terminate Associate > Voluntary > Dissatisfied with Management; Terminate Associate > Voluntary > Dissatisfied with Pay; Terminate Associate > Voluntary > Dissatisfied with Promotional Opportunities; Terminate Associate > Voluntary > Dissatisfied with Working Conditions; Terminate Associate > Voluntary > Failure to Return from Leave; Terminate Associate > Voluntary > Job Abandonment; Terminate Associate > Voluntary > Military Service; Terminate Associate > Voluntary > Moved; Terminate Associate > Voluntary > Other Employment; Terminate Associate > Voluntary > Personal; Terminate Associate > Voluntary > Retirement; Terminate Associate > Voluntary > Return to School; Terminate Associate > Voluntary > Severance; Terminate Associate > Voluntary > Unknown; Terminate Employee > Voluntary > Benefits; Terminate Employee > Voluntary > Career Change; Terminate Employee > Voluntary > Career Development or Advancement; Terminate Employee > Voluntary > Compensation; Terminate Employee > Voluntary > Continue Education; Terminate Employee > Voluntary > Contract End; Terminate Employee > Voluntary > Conversion; Terminate Employee > Voluntary > Dislike Company; Terminate Employee > Voluntary > Dislike Hours/Schedule; Terminate Employee > Voluntary > Dislike Supervisor; Terminate Employee > Voluntary > Dislike Work; Terminate Employee > Voluntary > Dissatisfied Career Advancement Opportunities; Terminate Employee > Voluntary > Dissatisfied with Benefits; Terminate Employee > Voluntary > Dissatisfied with Benefits Package (Health, Dental, Vision, Life, Retirement, Paid Leave, etc.); Terminate Employee > Voluntary > Dissatisfied with Career Opportunities; Terminate Employee > Voluntary > Dissatisfied with Company Policies; Terminate Employee > Voluntary > Dissatisfied with Compensation Package (Base Salary, Bonus, Commissions, etc.); Terminate Employee > Voluntary > Dissatisfied with Coworkers; Terminate Employee > Voluntary > Dissatisfied with Flexible Work Arrangements (remote work, flexible hours, etc.); Terminate Employee > Voluntary > Dissatisfied with Hours / Schedule; Terminate Employee > Voluntary > Dissatisfied with Industry; Terminate Employee > Voluntary > Dissatisfied with Job; Terminate Employee > Voluntary > Dissatisfied with Location; Terminate Employee > Voluntary > Dissatisfied with Location/Commute; Terminate Employee > Voluntary > Dissatisfied with Management; Terminate Employee > Voluntary > Dissatisfied with Manager Effectiveness; Terminate Employee > Voluntary > Dissatisfied with Organization Culture (Corporate Values, Behaviors, Norms that Guide How People Work); Terminate Employee > Voluntary > Dissatisfied with Pay; Terminate Employee > Voluntary > Dissatisfied with Travel; Terminate Employee > Voluntary > Dissatisfied with Type of Work; Terminate Employee > Voluntary > Dissatisfied with Work Conditions; Terminate Employee > Voluntary > Dissatisfied with Working Conditions; Terminate Employee > Voluntary > Dissatisfied with Worklife Balance; Terminate Employee > Voluntary > Exit Workforce; Terminate Employee > Voluntary > Failed to Return from Leave; Terminate Employee > Voluntary > Failure to Return from Leave; Terminate Employee > Voluntary > Family Obligations; Terminate Employee > Voluntary > Family Reasons; Terminate Employee > Voluntary > Health Concerns; Terminate Employee > Voluntary > Health Reasons; Terminate Employee > Voluntary > Job Abandonment; Terminate Employee > Voluntary > Job Security; Terminate Employee > Voluntary > Join Military; Terminate Employee > Voluntary > Location; Terminate Employee > Voluntary > Military Service; Terminate Employee > Voluntary > Moved; Terminate Employee > Voluntary > Mutual Agreement (inactive); Terminate Employee > Voluntary > Mutual Consent; Terminate Employee > Voluntary > Never Reported for Orientation; Terminate Employee > Voluntary > Other Employment; Terminate Employee > Voluntary > Personal - Furthering Education (inactive); Terminate Employee > Voluntary > Personal Reasons; Terminate Employee > Voluntary > Relocation; Terminate Employee > Voluntary > Resignation; Terminate Employee > Voluntary > Retirement; Terminate Employee > Voluntary > Return to School; Terminate Employee > Voluntary > Returned to School; Terminate Employee > Voluntary > Self Employment; Terminate Employee > Voluntary > Training; Terminate Employee > Voluntary > Transportation Problems; Terminate Employee > Voluntary > Unknown; Terminate Employee > Voluntary > Work Authorization Not Renewed; Terminate Employee > Voluntary > Workload; nan' 'Termed Reason: I; V; nan' 'Voluntary or Retirement: Retirement; Voluntary; nan'
11	'Generation: 18-24 years of age; 25-34 years; 25-34 years of age; 26-35 Yrs; 26-35 years; 35-44 years; 35-44 years of age; 36-45 Yrs; 36-45 years; 45-54 years of age; 45-55 years; 46-55 Yrs; 46-55 years; 55-64 years of age; 65+ years of age; < 25 years; < 26 Yrs; < 26 years; <25 years; > 55 Yrs; > 55 years; >55 years; Baby Boomer; Baby Boomer (born 1946 ¬ñ 1964); Baby Boomers; Baby Boomers ¬ñ 1946 ¬ñ 1965; Gen X; Generation X; Generation X (born 1965 to 1980); Generation X ¬ñ 1965 ¬ñ 1980; Generation Y / Millennials ¬ñ 1981 ¬ñ 1996; Generation Z; Generation Z (born 2001 to 2015); Generation Z ¬ñ 1997 and onwards; Mature (born in 1945 or earlier); Millennial; Millennials; Millennials (born 1981 to 2000); Silent Generation; Silent Generation - 1928 ¬ñ 1945; Traditionalist; nan' 'Age Bracket: 119.4; 18-24; 18.5; 18.7; 19.1; 19.2; 19.3; 19.4; 19.5; 19.6; 19.7; 19.8; 19.83333333; 19.9; 20 - 29; 20-24; 20-30 Years; 20.3; 20.6; 20.66666667; 20.7; 20.83333333; 20.9; 21; 21.08333333; 21.1; 21.16666667; 21.2; 21.3; 21.4; 21.5; 21.6; 21.66666667; 21.7; 21.8; 21.83333333; 21.9; 22; 22.1; 22.2; 22.3; 22.33333333; 22.4; 22.41666667; 22.5; 22.58333333; 22.6; 22.66666667; 22.7; 22.75; 22.8; 22.9; 23; 23.08333333; 23.1; 23.16666667; 23.2; 23.25; 23.3; 23.33333333; 23.4; 23.41666667; 23.5; 23.58333333; 23.6; 23.7; 23.8; 23.83333333; 23.9; 23.91666667; 24; 24.1; 24.2; 24.3; 24.33333333; 24.4; 24.41666667; 24.5; 24.58333333; 24.6; 24.66666667; 24.7; 24.75; 24.8; 24.83333333; 24.9; 25; 25-30; 25-35; 25-35 ; 25.08333333; 25.1; 25.16666667; 25.2; 25.25; 25.3; 25.33333333; 25.4; 25.41666667; 25.5; 25.58333333; 25.6; 25.66666667; 25.7; 25.75; 25.8; 25.83333333; 25.9; 25.91666667; 26; 26-3; 26-35; 26.08333333; 26.1; 26.16666667; 26.2; 26.25; 26.3; 26.33333333; 26.4; 26.41666667; 26.5; 26.58333333; 26.6; 26.66666667; 26.7; 26.75; 26.8; 26.83333333; 26.9; 26.91666667; 27; 27.08333333; 27.1; 27.16666667; 27.2; 27.25; 27.3; 27.33333333; 27.4; 27.41666667; 27.5; 27.58333333; 27.6; 27.66666667; 27.7; 27.75; 27.8; 27.83333333; 27.9; 27.91666667; 28; 28.08333333; 28.1; 28.16666667; 28.2; 28.25; 28.3; 28.33333333; 28.4; 28.41666667; 28.5; 28.58333333; 28.6; 28.66666667; 28.7; 28.75; 28.8; 28.83333333; 28.9; 28.91666667; 29; 29.08333333; 29.1; 29.16666667; 29.2; 29.25; 29.3; 29.33333333; 29.4; 29.41666667; 29.5; 29.58333333; 29.6; 29.66666667; 29.7; 29.75; 29.8; 29.83333333; 29.9; 29.91666667; 30; 30 - 39; 30-40 Years; 30.08333333; 30.1; 30.16666667; 30.2; 30.25; 30.3; 30.33333333; 30.4; 30.41666667; 30.5; 30.58333333; 30.6; 30.66666667; 30.7; 30.75; 30.8; 30.83333333; 30.9; 30.91666667; 31; 31-40; 31.08333333; 31.1; 31.16666667; 31.2; 31.25; 31.3; 31.33333333; 31.4; 31.41666667; 31.5; 31.58333333; 31.6; 31.66666667; 31.7; 31.75; 31.8; 31.83333333; 31.9; 31.91666667; 32; 32.08333333; 32.1; 32.16666667; 32.2; 32.25; 32.3; 32.33333333; 32.4; 32.41666667; 32.5; 32.58333333; 32.6; 32.66666667; 32.7; 32.75; 32.8; 32.83333333; 32.9; 32.91666667; 33; 33.08333333; 33.1; 33.16666667; 33.2; 33.25; 33.3; 33.33333333; 33.4; 33.41666667; 33.5; 33.58333333; 33.6; 33.66666667; 33.7; 33.75; 33.8; 33.83333333; 33.9; 33.91666667; 34; 34.08333333; 34.1; 34.16666667; 34.2; 34.25; 34.3; 34.33333333; 34.4; 34.41666667; 34.5; 34.58333333; 34.6; 34.66666667; 34.7; 34.75; 34.8; 34.83333333; 34.9; 34.91666667; 35; 35.08333333; 35.1; 35.16666667; 35.2; 35.25; 35.3; 35.33333333; 35.4; 35.41666667; 35.5; 35.58333333; 35.6; 35.66666667; 35.7; 35.75; 35.8; 35.83333333; 35.9; 35.91666667; 36; 36-40; 36-41; 36-45; 36.08333333; 36.1; 36.16666667; 36.2; 36.25; 36.3; 36.33333333; 36.4; 36.41666667; 36.5; 36.58333333; 36.6; 36.66666667; 36.7; 36.75; 36.8; 36.83333333; 36.9; 36.91666667; 37; 37.08333333; 37.1; 37.16666667; 37.2; 37.25; 37.3; 37.33333333; 37.4; 37.41666667; 37.5; 37.58333333; 37.6; 37.66666667; 37.7; 37.75; 37.8; 37.83333333; 37.9; 37.91666667; 38; 38.08333333; 38.1; 38.16666667; 38.2; 38.25; 38.3; 38.33333333; 38.4; 38.41666667; 38.5; 38.58333333; 38.6; 38.66666667; 38.7; 38.75; 38.8; 38.83333333; 38.9; 38.91666667; 39; 39.08333333; 39.1; 39.16666667; 39.2; 39.25; 39.3; 39.33333333; 39.4; 39.41666667; 39.5; 39.58333333; 39.6; 39.66666667; 39.7; 39.75; 39.8; 39.83333333; 39.9; 39.91666667; 40; 40 - 49; 40-50 Years; 40.08333333; 40.1; 40.16666667; 40.2; 40.25; 40.3; 40.33333333; 40.4; 40.41666667; 40.5; 40.58333333; 40.6; 40.66666667; 40.7; 40.75; 40.8; 40.83333333; 40.9; 40.91666667; 41; 41-49; 41-50; 41.08333333; 41.1; 41.16666667; 41.2; 41.25; 41.3; 41.33333333; 41.4; 41.41666667; 41.5; 41.58333333; 41.6; 41.66666667; 41.7; 41.75; 41.8; 41.83333333; 41.9; 41.91666667; 42; 42.08333333; 42.1; 42.16666667; 42.2; 42.25; 42.3; 42.33333333; 42.4; 42.41666667; 42.5; 42.58333333; 42.6; 42.66666667; 42.7; 42.75; 42.8; 42.83333333; 42.9; 42.91666667; 43; 43.08333333; 43.1; 43.16666667; 43.2; 43.25; 43.3; 43.33333333; 43.4; 43.41666667; 43.5; 43.58333333; 43.6; 43.66666667; 43.7; 43.75; 43.8; 43.83333333; 43.9; 43.91666667; 44; 44.08333333; 44.1; 44.16666667; 44.2; 44.25; 44.3; 44.33333333; 44.4; 44.41666667; 44.5; 44.58333333; 44.6; 44.66666667; 44.7; 44.75; 44.8; 44.83333333; 44.9; 44.91666667; 45; 45.08333333; 45.1; 45.16666667; 45.2; 45.25; 45.3; 45.33333333; 45.4; 45.41666667; 45.5; 45.58333333; 45.6; 45.66666667; 45.7; 45.75; 45.8; 45.83333333; 45.9; 45.91666667; 46; 46-54; 46.08333333; 46.1; 46.16666667; 46.2; 46.25; 46.3; 46.33333333; 46.4; 46.41666667; 46.5; 46.58333333; 46.6; 46.66666667; 46.7; 46.75; 46.8; 46.83333333; 46.9; 46.91666667; 47; 47.08333333; 47.1; 47.16666667; 47.2; 47.25; 47.3; 47.33333333; 47.4; 47.41666667; 47.5; 47.58333333; 47.6; 47.66666667; 47.7; 47.75; 47.8; 47.83333333; 47.9; 47.91666667; 48; 48.08333333; 48.1; 48.16666667; 48.2; 48.25; 48.3; 48.33333333; 48.4; 48.41666667; 48.5; 48.58333333; 48.6; 48.66666667; 48.7; 48.75; 48.8; 48.83333333; 48.9; 48.91666667; 49; 49.08333333; 49.1; 49.16666667; 49.2; 49.25; 49.3; 49.33333333; 49.4; 49.41666667; 49.5; 49.58333333; 49.6; 49.66666667; 49.7; 49.75; 49.8; 49.83333333; 49.9; 49.91666667; 50; 50 - 59; 50-60 Years; 50-64; 50.1; 50.16666667; 50.2; 50.25; 50.3; 50.33333333; 50.4; 50.41666667; 50.5; 50.58333333; 50.6; 50.66666667; 50.7; 50.75; 50.8; 50.83333333; 50.9; 50.91666667; 51; 51+; 51.08333333; 51.1; 51.16666667; 51.2; 51.25; 51.3; 51.33333333; 51.4; 51.41666667; 51.5; 51.58333333; 51.6; 51.66666667; 51.7; 51.75; 51.8; 51.83333333; 51.9; 51.91666667; 52; 52.08333333; 52.1; 52.16666667; 52.2; 52.25; 52.3; 52.33333333; 52.4; 52.41666667; 52.5; 52.58333333; 52.6; 52.66666667; 52.7; 52.75; 52.8; 52.83333333; 52.9; 52.91666667; 53; 53.08333333; 53.1; 53.16666667; 53.2; 53.25; 53.3; 53.33333333; 53.4; 53.41666667; 53.5; 53.58333333; 53.6; 53.66666667; 53.7; 53.75; 53.8; 53.83333333; 53.9; 53.91666667; 54; 54.08333333; 54.1; 54.16666667; 54.2; 54.25; 54.3; 54.33333333; 54.4; 54.41666667; 54.5; 54.58333333; 54.6; 54.66666667; 54.7; 54.75; 54.8; 54.83333333; 54.9; 54.91666667; 55; 55+; 55.08333333; 55.1; 55.16666667; 55.2; 55.25; 55.3; 55.33333333; 55.4; 55.5; 55.58333333; 55.6; 55.66666667; 55.7; 55.75; 55.8; 55.83333333; 55.9; 55.91666667; 56; 56.08333333; 56.1; 56.16666667; 56.2; 56.25; 56.3; 56.33333333; 56.4; 56.41666667; 56.5; 56.58333333; 56.6; 56.66666667; 56.7; 56.75; 56.8; 56.83333333; 56.9; 56.91666667; 57; 57.08333333; 57.1; 57.16666667; 57.2; 57.25; 57.3; 57.4; 57.41666667; 57.5; 57.6; 57.66666667; 57.7; 57.75; 57.8; 57.83333333; 57.9; 57.91666667; 58; 58.08333333; 58.1; 58.16666667; 58.2; 58.25; 58.3; 58.33333333; 58.4; 58.5; 58.58333333; 58.6; 58.7; 58.75; 58.8; 58.83333333; 58.9; 58.91666667; 59; 59.08333333; 59.1; 59.16666667; 59.2; 59.25; 59.3; 59.33333333; 59.4; 59.41666667; 59.5; 59.58333333; 59.6; 59.7; 59.75; 59.8; 59.83333333; 59.9; 59.91666667; 6; 60; 60 and over; 60.08333333; 60.1; 60.16666667; 60.2; 60.3; 60.33333333; 60.4; 60.41666667; 60.5; 60.6; 60.7; 60.75; 60.8; 60.83333333; 60.9; 60.91666667; 61; 61.1; 61.16666667; 61.2; 61.25; 61.3; 61.4; 61.5; 61.58333333; 61.6; 61.66666667; 61.7; 61.75; 61.8; 61.83333333; 61.9; 61.91666667; 62; 62.1; 62.16666667; 62.2; 62.25; 62.3; 62.33333333; 62.4; 62.41666667; 62.5; 62.58333333; 62.6; 62.66666667; 62.7; 62.8; 62.9; 62.91666667; 63; 63.08333333; 63.1; 63.2; 63.25; 63.3; 63.4; 63.5; 63.58333333; 63.6; 63.66666667; 63.7; 63.75; 63.8; 63.9; 63.91666667; 64; 64.08333333; 64.1; 64.2; 64.33333333; 64.4; 64.5; 64.58333333; 64.6; 64.7; 64.75; 64.8; 64.9; 64.91666667; 65; 65+; 65.1; 65.16666667; 65.2; 65.3; 65.4; 65.41666667; 65.5; 65.6; 65.66666667; 65.7; 65.75; 65.8; 65.83333333; 65.9; 65.91666667; 66; 66.1; 66.2; 66.3; 66.33333333; 66.4; 66.6; 66.7; 66.75; 66.8; 67; 67.08333333; 67.1; 67.2; 67.3; 67.4; 67.5; 67.58333333; 67.6; 67.66666667; 67.7; 67.9; 68; 68.2; 68.3; 68.33333333; 68.4; 68.5; 68.66666667; 68.7; 68.91666667; 69; 69.08333333; 69.3; 69.4; 69.7; 69.8; 69.9; 70; 70.08333333; 70.1; 70.2; 70.25; 70.4; 70.6; 70.7; 71.1; 71.3; 71.4; 71.5; 71.6; 71.9; 72.16666667; 72.5; 72.6; 72.75; 72.8; 73; 73.3; 73.6; 74.16666667; 74.2; 74.4; 75.7; 77.6; 79.25; 935.7; <20; <20 Years; <=25; >=60 Years; AAB00366417; AAB10011157; Baby Boomer; F; Gen X; Gen Y / Millennial; Less than 18; M; Traditionalist; Under 20; nan' 'age_band: 18-25; 20 - 29; 26-35; 30 - 39; 36-45; 40 - 49; 46-55; 50 - 59; 56 and above; 60 and over; Under 20; nan'
0	'Employee_Gender: F; M; nan' 'O_Gender: F; Female; M; Male; U; Unknown; nan' 'Gender: -; 0; 1 Individual Contributor; 10 Individual Contributor; 119; 17; 18; 19; 20; 20-29; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 30-39; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40; 40-49; 41; 42; 43; 44; 45; 46; 47; 48; 49; 50; 50-59; 51; 52; 53; 54; 55; 56; 57; 58; 59; 60; 61; 62; 63; 64; 65; 66; 67; 68; 69; 70; 71; 72; 73; 74; 75; 76; 77; 78; 79; 8 Sr. Manager; 80; 81; 83; 88; 89; 9 Manager; 9 manager; 90; 91; 935; ?; Agender; Asian; Bay; Bayan; Choose not to respond; Contractor; D; DJO Export; Decline; Decline to State; Decline to answer; Decline to state; Director; Do Not Wish to Disclose; F; F ; FEMALE; FEMALE ; Female; Female ; Female ; Femenino; F√©minin; Gender; Gender Nonconforming; Gender non-conforming; Gender variant / non-conforming; I Choose Not to Self Disclose; I Choose not to Disclose; I DO NOT WISH TO SELF-IDENTIFY; I Prefer Not to Answer; I choose not to disclose; I choose not to reply; I decline to self-identify; I do not wish to Self-Identify; I prefer not to answer; I prefer not to say; I prefer to self-describe in another way:; Identity Not Listed; In Another Way; JOANNE STURGESS; JODIE FIDDES; M; M ; MALE; MASCOLINO; Make; Male; Male ; Male ; Masculin; Masculino; N; Non-Binary; Non-Binary/Third Gender; Non-binary; Non-binary / third gender; Non-binary/ third gender; Non-specific; Nonconform; None; Not Available; Not Declared; Not Declaring; Not Disclosed; Not SpeciFemaleied; Not Specifed; Not Specified; Not assigned; Not available; Not declared; Not known; Not_Declared; Not_declared; O; Other; Prefer Not To Answer; Prefer Not To Say; Prefer Not To Self-Identify; Prefer Not to Respond; Prefer Not to Say; Prefer not to answer; Prefer not to disclose; Prefer not to say; Prefer to self-describe; Reassigned; Sex; Transgender; Two or more races; U; UNKNOWN; Undeclared; Undisc; Undisclosed; Unknown; Unspecified; Unused: F; Unused: M; White; Withhold; [NONE]; f; female; m; nan; unknown; unknown '

Uses

Direct Use for Inference

First install the SetFit library:

pip install setfit

Then you can load this model and run inference.

python

from setfit import SetFitModel

# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("svorwerk/setfit-fine-tuned-demo-class_hpo")
# Run inference
preds = model("Emp_FLSA: E; N; P; V; X; nan")

Training Details

Training Set Metrics

Training set	Min	Median	Max
Word count	2	135.7721	6076

Label	Training Sample Count
0	5
1	8
2	24
3	23
4	2
5	22
6	12
7	2
8	6
9	4
10	8
11	6
12	8
14	2
16	4

Training Hyperparameters

batch_size: (32, 32)
num_epochs: (1, 1)
max_steps: -1
sampling_strategy: oversampling
body_learning_rate: (2e-05, 5e-06)
head_learning_rate: 0.002
loss: CosineSimilarityLoss
distance_metric: cosine_distance
margin: 0.25
end_to_end: True
use_amp: False
warmup_proportion: 0.1
l2_weight: 0.01
max_length: 500
seed: 42
eval_max_steps: -1
load_best_model_at_end: True

Training Results

Epoch	Step	Training Loss	Validation Loss
0.0019	1	0.0936	-
0.0973	50	0.0073	-
0.1946	100	0.0009	-
0.2918	150	0.0006	-
0.3891	200	0.0002	-
0.4864	250	0.0002	-
0.5837	300	0.0003	-
0.6809	350	0.0002	-
0.7782	400	0.0004	-
0.8755	450	0.0002	-
0.9728	500	0.0006	0.0751

The bold row denotes the saved checkpoint.

Framework Versions

Python: 3.10.12
SetFit: 1.0.3
Sentence Transformers: 2.2.2
Transformers: 4.37.1
PyTorch: 2.1.0+cu121
Datasets: 2.16.1
Tokenizers: 0.15.1

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}
}