File size: 107,898 Bytes

d603527

---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:155651
- loss:MultipleNegativesSymmetricRankingLoss
base_model: jinaai/jina-embeddings-v2-small-en
widget:
- source_sentence: Experienced in debt mediation and client intake
  sentences:
  - "=== PERSON ===\nTomasz Bialas\nN/A\nWarsaw, Mazowieckie, Poland\n2530\n\n===\
    \ ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Retail Team Lead \n\
    \  2023-01 - N/A\n  N/A\n  Google\n  google\n  Software Development\n  N/A\n \
    \ 33910493\n\n>>> SCHOOL ROLES <<<\n\nSchool Role #1:\n  N/A\n  N/A - 2018\n \
    \ N/A\n  Warsaw University of Technology\n  warsaw-university-of-technology\n\
    \  N/A\n  N/A\n  122888\n\nSchool Role #2:\n  N/A\n  N/A - 2011\n  N/A\n  Warsaw\
    \ University of Technology\n  warsaw-university-of-technology\n  N/A\n  N/A\n\
    \  122888\n\nSchool Role #3:\n  N/A\n  N/A - 2015\n  N/A\n  SGH Warsaw School\
    \ of Economics\n  sgh-warsaw-school-of-economics\n  N/A\n  The oldest school of\
    \ economics in Poland.\n  136781"
  - "=== PERSON ===\nLori Sokoll\nAn energetic, healthcare professional committed\
    \ to our patients and their healthcare journey. I am driven to assist all patients\
    \ and their families in the coordination of physician meetings, diagnostic testing\
    \ and treatment planning. \nWhite Lake, Michigan, United States\n85\n\n=== ROLES\
    \ ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Oncology Care Coordinator\n\
    \  2012-07 - N/A\n  N/A\n  DETROIT MEDICAL CENTER COOPERATIVE\n  detroit-medical-center-cooperative\n\
    \  N/A\n  N/A\n  1\n\n>>> SCHOOL ROLES <<<\nNo school roles listed."
  - "=== PERSON ===\nJuliano Romaneli\ncomecei em 2015 como auxiliar por 2anos. Fui\
    \ promovido a op.de equipamentos móveis. Comecei a estudar logística tem três\
    \ meses e espero me aprofundar mais e mais.\nVitoria, Brazil Metropolitan Area\n\
    61\n\n=== ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  operador de\
    \ equipamentos moveis\n  N/A - N/A\n  N/A\n  Multitex Logística Ltda\n  multitex-log-stica-ltda\n\
    \  Truck Transportation\n  Soluções logísticas com tecnologias inovadoras\n  2163\n\
    \n>>> SCHOOL ROLES <<<\nNo school roles listed."
- source_sentence: Invoice processing and accounts payable professional
  sentences:
  - "=== PERSON ===\nGrace Michael\nN/A\nMelbourne, Victoria, Australia\n571\n\n===\
    \ ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Adviser - Strategy\n\
    \  2021-11 - 2023-06\n  N/A\n  Te Manatū Waka - Ministry of Transport (New Zealand)\n\
    \  ministry-of-transport-new-zealand\n  Government Administration\n  We are the\
    \ government's principal transport advisor. \n  4964\n\nCompany Role #2:\n  Internal\
    \ Communications Coordinator\n  2020-07 - 2021-01\n  N/A\n  The Salvation Army\
    \ Australia\n  the-salvation-army-australia\n  Non-profit Organizations\n  N/A\n\
    \  29756\n\nCompany Role #3:\n  Communications Business Adviser\n  2023-07 - N/A\n\
    \  N/A\n  City of Melbourne\n  city-of-melbourne\n  Government Administration\n\
    \  Business, admin, cultural & recreational hub of Victoria, Australia. \n  145026\n\
    \nCompany Role #4:\n  Implementation Adviser - Business Operations\n  2021-01\
    \ - 2021-11\n  N/A\n  Oranga Tamariki—Ministry for Children\n  orangatamariki\n\
    \  Government Administration\n  Our vision is that New Zealand values the wellbeing\
    \ of tamariki above all else.\n  20155\n\nCompany Role #5:\n  SRS Consultant\n\
    \  2019-03 - 2020-05\n  Working with qualified optometrists across Victoria, Western\
    \ Australia and Tasmania, recruiting for both locum and permanent mobile optometry\
    \ roles.<br>\n  Specsavers\n  specsavers\n  Retail\n  Join Specsavers\n  126070\n\
    \n>>> SCHOOL ROLES <<<\n\nSchool Role #1:\n  N/A\n  2014 - 2017\n  N/A\n  Victoria\
    \ University of Wellington\n  victoria-university-of-wellington\n  N/A\n  Te Herenga\
    \ Waka—Victoria University of Wellington is New Zealand’s globally ranked capital\
    \ city university.\n  119051\n\nSchool Role #2:\n  N/A\n  2021-03 - 2021-08\n\
    \  N/A\n  Massey University\n  massey-university\n  N/A\n  Show the world you\
    \ have what it takes. Your journey begins with Massey in Auckland, Manawatū, Wellington\
    \ or online.\n  150842"
  - "=== PERSON ===\nMohamad Danou\nMohamad Danou is a graphic designer based in Blackburn,\
    \ UK. I studied Graphic Design at The University of Salford. I love working on\
    \ visual identity, branding projects, publication design, and bilingual projects.\n\
    Blackburn, England, United Kingdom\n370\n\n=== ROLES ===\n>>> COMPANY ROLES <<<\n\
    \nCompany Role #1:\n  Founder\n  2021-06 - N/A\n  N/A\n  Tashkeel Design\n  tashkeel-design\n\
    \  Graphic Design\n  Helping you to level up your brand.\n  2\n\n>>> SCHOOL ROLES\
    \ <<<\n\nSchool Role #1:\n  N/A\n  2017 - 2021\n  N/A\n  The University of Salford\n\
    \  university-of-salford\n  N/A\n  N/A\n  165606"
  - "=== PERSON ===\nJaap van der Jagt\nN/A\nTholen, Zeeland, Netherlands\n572\n\n\
    === ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Projectleider\n  1997-06\
    \ - N/A\n  N/A\n  SelektHuis \n  selekthuis\n  Construction\n  Wij zijn je ideale\
    \ huizenbouwer. Met 6 vestigingen altijd in de buurt.\n#vrijstaandewoningbouw\
    \ #nieuwbouw\n  2218\n\n>>> SCHOOL ROLES <<<\nNo school roles listed."
- source_sentence: Leader in environmental management and policy development
  sentences:
  - "=== PERSON ===\nDmitry Kolomiets\nResult oriented team member with proven ability\
    \ to partner with leaders. Professional in Product Management, Wireless Technologies,\
    \ Voice over IP (VOIP) and Account Management.\nUkraine\n797\n\n=== ROLES ===\n\
    >>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Key Account Manager\n  2020-01 -\
    \ 2022-07\n  N/A\n  MMDSmart\n  mmdsmart\n  Telecommunications\n  Smart communications\
    \ solutions for enterprises of all sizes\n  7965\n\nCompany Role #2:\n  Key Account\
    \ Manager\n  2022-08 - N/A\n  * Managing a portfolio of accounts to achieve long-term\
    \ business relationship.<br>* Generating new sales using existing and potential\
    \ client networks.<br>* Building and developing positive relationships and handling\
    \ client’s needs by providing quality services.\n  OXNP Group\n  oxnptelecom\n\
    \  IT Services and IT Consulting\n  We turn customer dreams into superb IT products.\n\
    \  881\n\nCompany Role #3:\n  Back Office Specialist\n  2019-12 - 2020-01\n  N/A\n\
    \  MMDSmart\n  mmdsmart\n  Telecommunications\n  Smart communications solutions\
    \ for enterprises of all sizes\n  7965\n\n>>> SCHOOL ROLES <<<\n\nSchool Role\
    \ #1:\n  N/A\n  2016 - 2020\n  N/A\n  Kyiv National Economics University\n  kyiv-national-economics-university\n\
    \  N/A\n  N/A\n  N/A"
  - "=== PERSON ===\nQuba Fatima\nHi, I am Quba (ku·ba)<br><br>A self-taught UX Designer\
    \ with detailed eye for Visuals and UI as well, passionate about improving businesses\
    \ by improving their User Experience to help them better facilitate their users.<br><br>How\
    \ do i do that?<br>Simple steps:<br>1: Know your users and be their voice.<br>2:\
    \ Apply design laws/rules or best practices in order to solve the user problems.<br>3:\
    \ Be hungry for feedback and act accordingly.\nPakistan\n2410\n\n=== ROLES ===\n\
    >>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Lead Product Designer\n  2020-04\
    \ - N/A\n  N/A\n  Pixelied\n  pixelied\n  Software Development\n  All-in-One Design\
    \ Suite for Entrepreneurs & Businesses\n  363\n\nCompany Role #2:\n  UI/UX Designer\n\
    \  2021-03 - 2022-03\n  N/A\n  Unlayer (YC W22)\n  unlayer\n  Software Development\n\
    \  The simplest way to design mobile responsive emails and landing pages.\n  8313\n\
    \nCompany Role #3:\n  Web UI/UX Design Intern\n  2019-06 - 2019-09\n  N/A\n  Loops\
    \ Digital\n  loops-digital\n  IT Services and IT Consulting\n  Lets build and\
    \ grow your product together! \n  App development - Web Design - Digital Marketing.\
    \ \n  1040\n\nCompany Role #4:\n  Senior Product Designer\n  2022-03 - 2023-10\n\
    \  Designing a no-code chatbot builder\n  Turn.io\n  turn-io\n  IT Services and\
    \ IT Consulting\n  We help social impact organisations have personal, guided conversations\
    \ that improve lives at scale. Join our Community!\n  3037\n\nCompany Role #5:\n\
    \  Creative Head\n  2019-06 - 2021-03\n  N/A\n  Monty Media\n  montymediadigital\n\
    \  Advertising Services\n  Turning information into actionable insights.\n  478\n\
    \n>>> SCHOOL ROLES <<<\nNo school roles listed."
  - "=== PERSON ===\nRonan Fonseca Fideles\n    Profissional  com  sólida  experiência\
    \  na  área  de  Controladoria,  adquirida  em  grandes  empresas  multinacionais\
    \  e nacionais dos segmentos de mineração, distribuição e construção. <br>   \
    \ Ampla  vivência  na  condução  das  áreas  de  Planejamento,  Controle  Financeiro\
    \  e  Estratégico,  Custos  Industriais  e Contabilidade Gerencial.<br>    Facilidade\
    \ para estabelecer bons relacionamentos e atuar como suporte de outras áreas do\
    \ negócio, preparando e analisando informações de custos e oportunidades.   \
    \ Experiente no planejamento, controle e gestão de Budget, Forecast e todos os\
    \ KPIs envolvidos.<br>    Participação  efetiva  em  projetos  globais  de  implantação\
    \  de  sistemas  ERP  (SAP),  ferramentas  de  gestão  (BI),  melhorias de processos\
    \ e desenvolvimento de relatórios padronizados.<br>    Vivência com estruturas\
    \ matriciais, com reporte local, regional e internacional para a matriz.<br> \
    \   As  graduações  em  Administração  de  Empresas  e  Ciências  Contábeis  com\
    \  CRC  ativo,  aliado  a  pós-graduação  em Gestão de Negócios e fluência no\
    \ inglês completam meu perfil. \nBelo Horizonte, Minas Gerais, Brazil\n1238\n\n\
    === ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Controller\n  2022-10\
    \ - 2023-02\n  N/A\n  TRENG Consultoria e Tecnologia em Projetos\n  trengengenharia\n\
    \  Civil Engineering\n  Engenharia e Tecnologia em projetos\n  1521\n\nCompany\
    \ Role #2:\n  Controller\n  2014-01 - 2021-03\n  Reporte para Gerente Geral Financeiro.\
    \ Gestão de uma equipe formada por seis profissionais.\nSuporte para todas as\
    \ áreas (Diretores, Gerentes e Fábricas), com informações e análises para tomada\
    \ de decisões.\nImplementação e gestão de todo o processo de Budget e Forecast\
    \ da empresa e suas filiais.\n Gerenciava a apuração do resultado mensal da Companhia\
    \ incluindo custos de produção, DRE e análises de variação, preparando os relatórios\
    \ mensais sobre o desempenho econômico-financeiro.\n Criei e implementei planilha\
    \ de Excel automatizada que aumentou a produtividade no processo de budget, uma\
    \ vez que a mesma calculava o volume vendido, o balanço de produção, cálculo de\
    \ custos e despesas, KPI e gerava o DRE (Demonstração de Resultado do Exercício).\n\
    \ Geri os investimentos incluindo as solicitações e aplicação da política corporativa\
    \ de CAPEX, processo de aprovação da diretoria, abertura de projetos no sistema\
    \ ERP e acompanhamento dos gastos realizados versus orçados.\n Implementei processos\
    \ de planejamento financeiro, KPIs e relatórios padronizados para operações na\
    \ América Latina, facilitando a tomada de decisão das áreas de negócio com relatórios\
    \ de indicadores financeiros e apresentações padronizadas.\n Elaborei e analisei\
    \ estudos de viabilidade econômico-financeira dos projetos relacionados a abertura\
    \ de novos negócios, expansão de negócios existentes ou oportunidades de ganhos.\n\
    \ Identifiquei oportunidades de redução de despesas e custos por meio de desenvolvimento\
    \ de ferramentas analíticas.\n Suportei a área comercial nos reajustes de preços\
    \ de venda, análise de contratos com os clientes, analises de preços e margem\
    \ de contribuição.\n Atuando em conjunto com unidades da empresa no mundo liderei\
    \ o processo de padronização de informações no Brasil.\n Através da revisão de\
    \ processos, reorganização de tarefas e desenvolvimento da equipe reduzi o prazo\
    \ de apuração do resultado mensal em quatro dias úteis.\n  Lhoist\n  lhoist\n\
    \  Mining\n  Our lime and mineral-based products contribute to air and water quality,\
    \ transport, agriculture, construction, and more.\n  72408\n\nCompany Role #3:\n\
    \  Gerente de operações\n  2023-02 - N/A\n  N/A\n  BioclinTech\n  bioclintech\n\
    \  N/A\n  A Bioclintech é a responsável pela Assessoria Técnica e \nCientifica\
    \ aos equipamentos comercializados pela Bioclin.\n  186\n\nCompany Role #4:\n\
    \  Consultor de gestão de negócios\n  2021-06 - 2022-10\n  N/A\n  Defumados Moretto\n\
    \  defumadosmoretto\n  N/A\n  Desde 1988 produzindo o melhor defumado\n  23\n\n\
    Company Role #5:\n  Coordenador de controladoria\n  2011-06 - 2014-01\n  Acompanhava\
    \ o fechamento mensal de custos industriais, avaliando a exatidão dos cálculos\
    \ apurados, a adequação dos critérios de rateio e observância dos procedimentos\
    \ corporativos.\n Preparava análises sobre variações de custos e despesas reais\
    \ versus orçados, que serviam de base para solicitar explicações das grandes variações\
    \ junto às áreas responsáveis.\n Avaliava os controles de faturamentos de serviços\
    \ e verificava a validação dos serviços realizados;\n Desenvolvi e implementei\
    \ um comparativo de custos entre as unidades brasileiras, buscando as melhores\
    \ práticas.\n Criei e conduzi reuniões entre as lideranças das unidades e diretores,\
    \ buscando analisar os custos e propor melhorias e oportunidades para melhores\
    \ resultados.\n Compartilhei o conhecimento e incentivei a utilização de ferramentas\
    \ gerenciais de BI, para otimizar a preparação de relatórios e análises, que propiciava\
    \ redução no tempo de preparação e melhoria de qualidade de informações.\n  Lhoist\n\
    \  lhoist\n  Mining\n  Our lime and mineral-based products contribute to air and\
    \ water quality, transport, agriculture, construction, and more.\n  72408\n\n\
    Company Role #6:\n  Coordenador de controladoria\n  2011-03 - 2011-06\n  Responsável\
    \ pela criação e implantação da área de controladoria.\nCriei  oportunidades \
    \ para  melhor  interação  entre  as  áreas  da  empresa,  provocando  discussões\
    \  produtivas  sobre variações de custos e oportunidades de melhoria.\n  Precon\
    \ Engenharia\n  precon-engenharia\n  Construction\n  Mais que morar, viver.\n\
    \  67344\n\nCompany Role #7:\n  Analista de controladoria\n  2006-09 - 2010-02\n\
    \  Suporte de ao Diretor Industrial e ao Controller, gerando informações, análises\
    \ e preparando informações.\n    Confecção de Budget, Forecast, fechamento mensal\
    \ da unidade analisando as informações de custos da fábrica.\n  Lhoist\n  lhoist\n\
    \  Mining\n  Our lime and mineral-based products contribute to air and water quality,\
    \ transport, agriculture, construction, and more.\n  72408\n\nCompany Role #8:\n\
    \  Coordenador de planejamento financeiro e controle\n  2010-02 - 2011-03\n  Responsável\
    \  pelo  planejamento  e  controle  de  custos  e  orçamento  das  empresas, \
    \ coordenando  a  implantação, elaboração, desenvolvimento e controle de ferramentas\
    \ orçamentárias e de custos gerenciais.\n    Confecção de Budget, Forecast, custos\
    \ diretos e indiretos, apuração de custos para formação de preços de venda.\n\
    \    Realizava  o  fechamento  mensal    analisando  as  informações  de  custo,\
    \  despesas  e  receita,  criando  e  gerando  os relatórios  gerenciais  (DRE,\
    \  Balancete,  Fluxo  de  caixa,  e  outras  informações  gerenciais)  para  apresentação\
    \  dos resultados à diretoria e conselho gestor.\n    Criei  e  implantei  administração\
    \  de  métodos  de  controle  de  custos  para  analisar,  conferir  e  efetuar\
    \  cálculos financeiros, que garantiam a acuracidade nas informações do balanço\
    \ financeiro e elaboração de relatórios e análises para suporte à tomada de decisões\
    \ estratégicas de gerentes e diretores.\n    Analisava e controlava métodos, processos\
    \ e sistemas localizando falhas, ineficiência e desperdícios.\n    Controlava\
    \ os estoques e auditava inventários físicos garantindo  que os mesmos estivessem\
    \ adequados.\n  Globalbev Bebidas e Alimentos S/A\n  globalbevsa\n  Food and Beverage\
    \ Services\n  Energia Positiva, Parceria, Disciplina, Velocidade \U0001F499 \n\
    \  26945\n\n>>> SCHOOL ROLES <<<\nNo school roles listed."
- source_sentence: Managing Director at Citi Global Wealth
  sentences:
  - "=== PERSON ===\nFelipe de Jesús Degollado Robles\nFelipe de Jesús Degollado<br>Director\
    \ General en DEA<br>República mexicana, México y extranjero o Ramo Asegurador<br><br>Actual\t\
    \tDegollado Ajustadores, S.A. (DEA), Director General<br><br>Anterior\t      \
    \  Ajustes Calderón, Gerente Regional de Operaciones<br><br>Educación\t      \
    \  Escuela Bancaria Comercial, plantel Reforma, Ciudad de México,            \
    \    Instituto Mexicano de Seguros y Fianzas, A.C., plantel Coyoacán, Ciudad de\
    \ México. <br><br>Extracto\t        25 años en el ramo Asegurador como, Administrador\
    \ de Riesgos y Ajustador Profesional, con experiencia en Transportes, Agrícola\
    \ y Semovientes, Diversos y Barcos, los últimos años como Ajustador Independiente\
    \ y hoy, Director General de Degollado Ajustadores, S.A.\nBenito Juárez, Mexico\
    \ City, Mexico\n166\n\n=== ROLES ===\n>>> COMPANY ROLES <<<\nNo company roles\
    \ listed.\n\n>>> SCHOOL ROLES <<<\n\nSchool Role #1:\n  N/A\n  2010 - 2013\n \
    \ N/A\n  Escuela Bancaria y Comercial\n  escuela-bancaria-y-comercial\n  N/A\n\
    \  Más de 90 años, 13 campus, 8 Licenciaturas, 4 Licenciaturas Ejecutivas, 3 Posgrados,\
    \ Diplomados y Cursos.\n  67704"
  - "=== PERSON ===\nDave Molenda, TDC, TDFC, TEQC\npo·lar·i·ty (noun): The presence\
    \ or manifestation of two opposite or contrasting principles or tendencies. In\
    \ business, there are times we need a contrasting principle to help us see clearly,\
    \ or get through some not so fun times. At Positive Polarity LLC, it's my job\
    \ to help you navigate whatever waters you find yourself in...whether you need\
    \ to strengthen your team, or improve your customers experience, I can use my\
    \ 30 plus years of business knowledge to help as a business expert, problem solver,\
    \ or a sales coach! Call me at 414 322 2358 or email me at [email protected]\
    \ to see if there is something that I can help you with. The first consultation\
    \ is always complimentary!\nGreater Milwaukee\n9005\n\n=== ROLES ===\n>>> COMPANY\
    \ ROLES <<<\n\nCompany Role #1:\n  President\n  2017-12 - 2018-12\n  Leading the\
    \ best Builders Association in the State of Wisconsin to new heights and accomplishing\
    \ great things. Amazing members, solid board of directors and a great Executive\
    \ Officer makes my job as President easier. We have a list of things to accomplish\
    \ in 2018 and I am excited to continue the momentum!\n  Lakeland Builders Association\n\
    \  lakeland-builders-association\n  Non-profit Organizations\n  We're more than\
    \ homes. We build communities.\n  158\n\nCompany Role #2:\n  President/Owner\n\
    \  1986-05 - 2013-11\n  Responsible for providing management and leadership to\
    \ ensure individual inside and outside sales associates achieve set sales goals\
    \ and budgets while adhering to company's overall objectives\nDesign, plan and\
    \ execute sales and marketing programs to set and meet short- and long-term sales\
    \ strategies and increase the company's sales volume\nEvaluate and recommend product\
    \ or service enhancements to improve customer satisfaction and sales potential\n\
    Ensure projects are completed on time and within budget\nAct as advisor, mentor\
    \ and coach to sales team regarding projects, tasks, and operations\nDrive market\
    \ share through developing and maintaining marketing programs, event support/sponsorships,\
    \ advertising, special promotions, networking and contact management\nIdentify,\
    \ develop and grow strategic alliances and customer relationships with builders,\
    \ general contractors, remodelers, architects and engineers\nRecruit, train, develop,\
    \ and motivate a team of sales associates through individual performance evaluations,\
    \ regular sales reviews, weekly progress meetings and new selling techniques\n\
    Provide and facilitate quarterly and annual strategic vision planning in order\
    \ to develop sales and marketing objectives, manage budgets and position company\
    \ for profitability\n  Weather-Tek Windows & Doors\n  weather-tek-design-center-inc-\n\
    \  Construction\n  Selection. Knowledge. Service.\n  168\n\nCompany Role #3:\n\
    \  Founder, Business Coach, Leader, Trainer, DISC Certified Trainer\n  2012-08\
    \ - N/A\n  N/A\n  Positive Polarity, LLC (Business Coaching, Training, Leadership\
    \ Consulting, DISC certified, Speaker)\n  positive-polarity-llc\n  Professional\
    \ Training and Coaching\n  Creating Business Growth & Success - Contact me today\
    \ to hear how I can help your business GROW! \n  733\n\nCompany Role #4:\n  Author\
    \ of #1 Amazon Best Selling Book - GROWING ON PURPOSE\n  2016-01 - N/A\n  N/A\n\
    \  Positive Polarity, LLC (Business Coaching, Training, Leadership Consulting,\
    \ DISC certified, Speaker)\n  positive-polarity-llc\n  Professional Training and\
    \ Coaching\n  Creating Business Growth & Success - Contact me today to hear how\
    \ I can help your business GROW! \n  733\n\nCompany Role #5:\n  Keynote and Breakout\
    \ Speaker\n  2012-08 - N/A\n  N/A\n  Positive Polarity, LLC (Business Coaching,\
    \ Training, Leadership Consulting, DISC certified, Speaker)\n  positive-polarity-llc\n\
    \  Professional Training and Coaching\n  Creating Business Growth & Success -\
    \ Contact me today to hear how I can help your business GROW! \n  733\n\nCompany\
    \ Role #6:\n  Value Added Associate\n  2015-09 - N/A\n  We are pleased to announce\
    \ we have become Value Added Associates with the global leader in human behavior\
    \ assessments, TTI Success Insights. Leveraging this valuable partnership for\
    \ you, our clients and our contacts, Positive Polarity, LLC is now better able\
    \ to provide tools to help you:\n\n1. Hire Better\n2. Develop Stronger\n3. Retain\
    \ Longer\n\nFor more information, please email [email protected]\n  Target\
    \ Training International, Ltd.\n  target-training-international\n  Research Services\n\
    \  N/A\n  N/A\n\n>>> SCHOOL ROLES <<<\n\nSchool Role #1:\n  N/A\n  1982 - 1984\n\
    \  N/A\n  University of Wisconsin-Milwaukee\n  uwmilwaukee\n  N/A\n  N/A\n  180722\n\
    \nSchool Role #2:\n  Drafting\n  1990 - 1991\n  MATC) Drafting, Blueprint Reading\n\
    \  Milwaukee Area Technical College\n  milwaukee-area-technical-college\n  N/A\n\
    \  Transforming Lives, Industry & Community\n  58339"
  - "=== PERSON ===\nNeville Topping\nN/A\nWest Midlands, England, United Kingdom\n\
    867\n\n=== ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Partner\n \
    \ 1991 - N/A\n  N/A\n  Elias Topping\n  elias-topping\n  N/A\n  N/A\n  22\n\n\
    >>> SCHOOL ROLES <<<\nNo school roles listed."
- source_sentence: Experienced in SAP consultancy
  sentences:
  - "=== PERSON ===\nMärt Ehrenpreis\nN/A\nTallinn Metropolitan Area\n470\n\n=== ROLES\
    \ ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Board Member CTO\n  2023-04\
    \ - N/A\n  N/A\n  Elron / Eesti Liinirongid AS \n  eestiliinirongid\n  Truck Transportation\n\
    \  Loome Sulle aega – viime Sind kohale kiiresti, turvaliselt ja mugavalt\n  414\n\
    \nCompany Role #2:\n  Managing Director, Proxion Plan Estonia OÜ\n  2021-01 -\
    \ 2023-04\n  N/A\n  Proxion\n  proxion-plan-oy\n  Civil Engineering\n  Proxion\
    \ on osa WSP-yhtiöitä.\nOtathan seurantaan WSP in Finland -tilin!\n  2563\n\n\
    >>> SCHOOL ROLES <<<\nNo school roles listed."
  - "=== PERSON ===\nHarvindar Singh Garcha\nHarvindar's passion for technology can\
    \ be traced back right from his childhood, Getting into the field of computer\
    \ science bought him to have more focus on his goal. He is a fast learner and\
    \ easily adapts to new skills. He always has the hunger and curiosity to learn\
    \ new skills. <br><br>He has expertise in the design &  development of RESTful\
    \ APIs and back-end services utilizing Python ecosystem, Django, Flask, Docker,\
    \ and SQL with an emphasis on scalability and security.<br><br>He is currently\
    \ working as a full stack developer at AI Automotive company where he has worked\
    \ on technologies Django, Flask, Python, RESTful APIs, React, Redux, Celery, and\
    \ JavaScript, while keeping in mind all the secure code practices of OWASP top\
    \ 10.<br><br>His specialties include quickly learning new skills, Programming\
    \ languages, and Critical thinking in problem-solving.<br><br>In his free time,\
    \ you will find him reading articles about the latest trending technologies on\
    \ Internet,  Spending some time on Quora & hiking on the mountains.\nPune, Maharashtra,\
    \ India\n1294\n\n=== ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Software\
    \ Development Analyst\n  2020-04 - 2020-08\n  N/A\n  Metta Social\n  metta-social\n\
    \  IT Services and IT Consulting\n  Building world’s largest common good platform\
    \ to enable sustainable impact at scale!\n  4002\n\nCompany Role #2:\n  Junior\
    \ Backend Engineer\n  2020-09 - 2021-03\n  N/A\n  SRV Media\n  srv-media\n  Advertising\
    \ Services\n  Insights | Ideas | Impact\n  49579\n\nCompany Role #3:\n  Full Stack\
    \ Developer\n  2021-03 - 2022-01\n  N/A\n  SRV Media\n  srv-media\n  Advertising\
    \ Services\n  Insights | Ideas | Impact\n  49579\n\nCompany Role #4:\n  Software\
    \ Development Intern\n  2019-10 - 2020-03\n  Currently building a B2B social ecosystem\
    \ platform where my daily work includes to develop and unit test REST API's using\
    \ Flask and ORM using SQLAlchemy.<br><br>- Contributed 90% of the API's for mobile\
    \ application which was build in just a month keeping in mind all the secure code\
    \ practices of OWASP Top 10.<br><br>- Building REST API using Flask framework,\
    \ for web app & checking the load balancing of concurrent users.<br>        <br>-\
    \ Building database model using SQL-Alchemy, and connecting it to Heroku.<br><br>-\
    \ Security Testing of the API's !\n  Metta Social\n  metta-social\n  IT Services\
    \ and IT Consulting\n  Building world’s largest common good platform to enable\
    \ sustainable impact at scale!\n  4002\n\nCompany Role #5:\n  Research And Development\
    \ Engineer\n  2022-01 - N/A\n  N/A\n  Cerence Inc.\n  cerence\n  Software Development\n\
    \  Cerence is the global industry leader in creating unique, moving experiences\
    \ for the mobility world.\n  44039\n\n>>> SCHOOL ROLES <<<\nNo school roles listed."
  - "=== PERSON ===\nNagwa Mahmoud\nSeeking to continue my work in a challenging work\
    \ environment and a growing International organization, enhancing my business,\
    \ IT and communication knowledge and skills, by adding value to myself and to\
    \ the organization.\nEgypt\n260\n\n=== ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany\
    \ Role #1:\n  Senior Tour Consultant, Abercrombie & Kent, Egypt\n  2004-04 - 2004-09\n\
    \  N/A\n  A.P. Moller - Maersk\n  maersk-group\n  Truck Transportation\n  N/A\n\
    \  1910055\n\nCompany Role #2:\n  Assistant Division Manager, TOC\n  2014-10 -\
    \ N/A\n  *Primary role is to fully service the A&K branded business from A&K International\
    \ Inc.<br>*Conducting annual planning sessions with the Tour Operating Companies\
    \ (TOC’s) in order to agree on the following year’s brochure programs, pricing\
    \ policy and detailed itineraries.<br>*Assist the Division manger in setting an\
    \ annual revenue target in co-ordination with the TOC’s in preparation for submitting\
    \ A&K Egypt’s annual revenue budget.  <br>*Assist in applying a sales strategy\
    \ which focuses on filling the Sanctuary Sun Boats space, as well as achieving\
    \ highest possible margins, while remaining competitive enough to assist the TOC’s\
    \ to maximize their sales potential and achieving annual margin targets.<br>*Assist\
    \ in setting an annual pricing policy for the TOC’s in co-ordination with the\
    \ Director, Tourism, and in accordance with the company’s pricing strategy, that\
    \ would allow achievement of this margin.<br>*Preparing materialization and benchmarking\
    \ reports for the department on a quarterly basis.<br>*Establishing and maintaining\
    \ excellent professional and personal contacts with hotel key personnel and suppliers<br>*In\
    \ addition to all duties and tasks mentioned below as a Tour Consultant.\n  Abercrombie\
    \ & Kent USA\n  abercrombie-&-kent\n  Travel Arrangements\n  Abercrombie & Kent\
    \ is the world’s premier luxury travel company with over 55 offices in more than\
    \ 30 countries.\n  30147\n\nCompany Role #3:\n  Tour Consultant\n  2003-07 - 2004-03\n\
    \  N/A\n  Abercrombie & Kent USA\n  abercrombie-&-kent\n  Travel Arrangements\n\
    \  Abercrombie & Kent is the world’s premier luxury travel company with over 55\
    \ offices in more than 30 countries.\n  30147\n\n>>> SCHOOL ROLES <<<\n\nSchool\
    \ Role #1:\n  N/A\n  2018 - 2019\n  N/A\n  The American University in Cairo\n\
    \  aucegypt\n  N/A\n  Welcome to AUC, Egypt’s top University! Sharing our academic\
    \ excellence, impactful research and various achievements.\n  355473\n\nSchool\
    \ Role #2:\n  N/A\n  1997 - 2001\n  N/A\n  Modern Academy Maadi\n  modern-academy-maadi\n\
    \  N/A\n  N/A\n  N/A\n\nSchool Role #3:\n  N/A\n  2015 - 2016\n  N/A\n  AUC -\
    \ School of Continuing Education\n  school-of-continuing-education\n  N/A\n  Strive\
    \ to offer high-quality education, that is affordable, flexible, accessible, and\
    \ designed to enhance employability\n  N/A"
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- cosine_accuracy
- cosine_accuracy_threshold
- cosine_f1
- cosine_f1_threshold
- cosine_precision
- cosine_recall
- cosine_ap
- dot_accuracy
- dot_accuracy_threshold
- dot_f1
- dot_f1_threshold
- dot_precision
- dot_recall
- dot_ap
- manhattan_accuracy
- manhattan_accuracy_threshold
- manhattan_f1
- manhattan_f1_threshold
- manhattan_precision
- manhattan_recall
- manhattan_ap
- euclidean_accuracy
- euclidean_accuracy_threshold
- euclidean_f1
- euclidean_f1_threshold
- euclidean_precision
- euclidean_recall
- euclidean_ap
- max_accuracy
- max_accuracy_threshold
- max_f1
- max_f1_threshold
- max_precision
- max_recall
- max_ap
model-index:
- name: SentenceTransformer based on jinaai/jina-embeddings-v2-small-en
  results:
  - task:
      type: binary-classification
      name: Binary Classification
    dataset:
      name: Unknown
      type: unknown
    metrics:
    - type: cosine_accuracy
      value: 0.9527261266939805
      name: Cosine Accuracy
    - type: cosine_accuracy_threshold
      value: 0.27776145935058594
      name: Cosine Accuracy Threshold
    - type: cosine_f1
      value: 0.8559485931748705
      name: Cosine F1
    - type: cosine_f1_threshold
      value: 0.25389939546585083
      name: Cosine F1 Threshold
    - type: cosine_precision
      value: 0.8474366893143916
      name: Cosine Precision
    - type: cosine_recall
      value: 0.8646332240988153
      name: Cosine Recall
    - type: cosine_ap
      value: 0.9213821667446777
      name: Cosine Ap
    - type: dot_accuracy
      value: 0.9287109990545225
      name: Dot Accuracy
    - type: dot_accuracy_threshold
      value: 7.192317008972168
      name: Dot Accuracy Threshold
    - type: dot_f1
      value: 0.7794543326969267
      name: Dot F1
    - type: dot_f1_threshold
      value: 6.09993839263916
      name: Dot F1 Threshold
    - type: dot_precision
      value: 0.7621341683728773
      name: Dot Precision
    - type: dot_recall
      value: 0.797580035291152
      name: Dot Recall
    - type: dot_ap
      value: 0.8651352639760566
      name: Dot Ap
    - type: manhattan_accuracy
      value: 0.8422313268200441
      name: Manhattan Accuracy
    - type: manhattan_accuracy_threshold
      value: 69.50222778320312
      name: Manhattan Accuracy Threshold
    - type: manhattan_f1
      value: 0.39874017881332974
      name: Manhattan F1
    - type: manhattan_f1_threshold
      value: 133.93528747558594
      name: Manhattan F1 Threshold
    - type: manhattan_precision
      value: 0.2726220246364731
      name: Manhattan Precision
    - type: manhattan_recall
      value: 0.7419964708847996
      name: Manhattan Recall
    - type: manhattan_ap
      value: 0.3696667018256091
      name: Manhattan Ap
    - type: euclidean_accuracy
      value: 0.8424624435339847
      name: Euclidean Accuracy
    - type: euclidean_accuracy_threshold
      value: 3.8574271202087402
      name: Euclidean Accuracy Threshold
    - type: euclidean_f1
      value: 0.3998802952716633
      name: Euclidean F1
    - type: euclidean_f1_threshold
      value: 7.491550445556641
      name: Euclidean F1 Threshold
    - type: euclidean_precision
      value: 0.2715898825654923
      name: Euclidean Precision
    - type: euclidean_recall
      value: 0.7578774892866146
      name: Euclidean Recall
    - type: euclidean_ap
      value: 0.3700396529324034
      name: Euclidean Ap
    - type: max_accuracy
      value: 0.9527261266939805
      name: Max Accuracy
    - type: max_accuracy_threshold
      value: 69.50222778320312
      name: Max Accuracy Threshold
    - type: max_f1
      value: 0.8559485931748705
      name: Max F1
    - type: max_f1_threshold
      value: 133.93528747558594
      name: Max F1 Threshold
    - type: max_precision
      value: 0.8474366893143916
      name: Max Precision
    - type: max_recall
      value: 0.8646332240988153
      name: Max Recall
    - type: max_ap
      value: 0.9213821667446777
      name: Max Ap
  - task:
      type: binary-classification
      name: Binary Classification
    dataset:
      name: rec test evaluator
      type: rec_test_evaluator
    metrics:
    - type: cosine_accuracy
      value: 0.936855847189776
      name: Cosine Accuracy
    - type: cosine_accuracy_threshold
      value: 0.3141043186187744
      name: Cosine Accuracy Threshold
    - type: cosine_f1
      value: 0.7994950557542605
      name: Cosine F1
    - type: cosine_f1_threshold
      value: 0.2845936119556427
      name: Cosine F1 Threshold
    - type: cosine_precision
      value: 0.8165019338203696
      name: Cosine Precision
    - type: cosine_recall
      value: 0.7831821929101401
      name: Cosine Recall
    - type: cosine_ap
      value: 0.8700199442144447
      name: Cosine Ap
    - type: dot_accuracy
      value: 0.9174110210251477
      name: Dot Accuracy
    - type: dot_accuracy_threshold
      value: 4.781828880310059
      name: Dot Accuracy Threshold
    - type: dot_f1
      value: 0.7457066004552038
      name: Dot F1
    - type: dot_f1_threshold
      value: 4.365626335144043
      name: Dot F1 Threshold
    - type: dot_precision
      value: 0.7486497714997923
      name: Dot Precision
    - type: dot_recall
      value: 0.7427864798021434
      name: Dot Recall
    - type: dot_ap
      value: 0.7954402853909471
      name: Dot Ap
    - type: manhattan_accuracy
      value: 0.8618936374879758
      name: Manhattan Accuracy
    - type: manhattan_accuracy_threshold
      value: 69.56864929199219
      name: Manhattan Accuracy Threshold
    - type: manhattan_f1
      value: 0.5070320952037504
      name: Manhattan F1
    - type: manhattan_f1_threshold
      value: 82.6656494140625
      name: Manhattan F1 Threshold
    - type: manhattan_precision
      value: 0.45064102564102565
      name: Manhattan Precision
    - type: manhattan_recall
      value: 0.5795548227535037
      name: Manhattan Recall
    - type: manhattan_ap
      value: 0.5479296779559962
      name: Manhattan Ap
    - type: euclidean_accuracy
      value: 0.8626494434519719
      name: Euclidean Accuracy
    - type: euclidean_accuracy_threshold
      value: 3.860058546066284
      name: Euclidean Accuracy Threshold
    - type: euclidean_f1
      value: 0.5061946902654868
      name: Euclidean F1
    - type: euclidean_f1_threshold
      value: 4.6146087646484375
      name: Euclidean F1 Threshold
    - type: euclidean_precision
      value: 0.4435483870967742
      name: Euclidean Precision
    - type: euclidean_recall
      value: 0.5894476504534213
      name: Euclidean Recall
    - type: euclidean_ap
      value: 0.5486506261661199
      name: Euclidean Ap
    - type: max_accuracy
      value: 0.936855847189776
      name: Max Accuracy
    - type: max_accuracy_threshold
      value: 69.56864929199219
      name: Max Accuracy Threshold
    - type: max_f1
      value: 0.7994950557542605
      name: Max F1
    - type: max_f1_threshold
      value: 82.6656494140625
      name: Max F1 Threshold
    - type: max_precision
      value: 0.8165019338203696
      name: Max Precision
    - type: max_recall
      value: 0.7831821929101401
      name: Max Recall
    - type: max_ap
      value: 0.8700199442144447
      name: Max Ap
  - task:
      type: binary-classification
      name: Binary Classification
    dataset:
      name: query test evaluator
      type: query_test_evaluator
    metrics:
    - type: cosine_accuracy
      value: 0.9621682152477226
      name: Cosine Accuracy
    - type: cosine_accuracy_threshold
      value: 0.2630356252193451
      name: Cosine Accuracy Threshold
    - type: cosine_f1
      value: 0.8849557522123893
      name: Cosine F1
    - type: cosine_f1_threshold
      value: 0.25413358211517334
      name: Cosine F1 Threshold
    - type: cosine_precision
      value: 0.8894186686227764
      name: Cosine Precision
    - type: cosine_recall
      value: 0.8805374001452433
      name: Cosine Recall
    - type: cosine_ap
      value: 0.947454791570092
      name: Cosine Ap
    - type: dot_accuracy
      value: 0.948306649314488
      name: Dot Accuracy
    - type: dot_accuracy_threshold
      value: 8.425336837768555
      name: Dot Accuracy Threshold
    - type: dot_f1
      value: 0.843290979544021
      name: Dot F1
    - type: dot_f1_threshold
      value: 7.547880172729492
      name: Dot F1 Threshold
    - type: dot_precision
      value: 0.8371801753444266
      name: Dot Precision
    - type: dot_recall
      value: 0.8494916485112564
      name: Dot Recall
    - type: dot_ap
      value: 0.9205407446487603
      name: Dot Ap
    - type: manhattan_accuracy
      value: 0.8801186404769832
      name: Manhattan Accuracy
    - type: manhattan_accuracy_threshold
      value: 116.77102661132812
      name: Manhattan Accuracy Threshold
    - type: manhattan_f1
      value: 0.5600226500566251
      name: Manhattan F1
    - type: manhattan_f1_threshold
      value: 128.61376953125
      name: Manhattan F1 Threshold
    - type: manhattan_precision
      value: 0.5831367924528302
      name: Manhattan Precision
    - type: manhattan_recall
      value: 0.5386710239651417
      name: Manhattan Recall
    - type: manhattan_ap
      value: 0.6344397340133496
      name: Manhattan Ap
    - type: euclidean_accuracy
      value: 0.8803607638993978
      name: Euclidean Accuracy
    - type: euclidean_accuracy_threshold
      value: 6.473782539367676
      name: Euclidean Accuracy Threshold
    - type: euclidean_f1
      value: 0.5613611007809595
      name: Euclidean F1
    - type: euclidean_f1_threshold
      value: 7.165651798248291
      name: Euclidean F1 Threshold
    - type: euclidean_precision
      value: 0.575266768292683
      name: Euclidean Precision
    - type: euclidean_recall
      value: 0.5481118373275236
      name: Euclidean Recall
    - type: euclidean_ap
      value: 0.6368678358832146
      name: Euclidean Ap
    - type: max_accuracy
      value: 0.9621682152477226
      name: Max Accuracy
    - type: max_accuracy_threshold
      value: 116.77102661132812
      name: Max Accuracy Threshold
    - type: max_f1
      value: 0.8849557522123893
      name: Max F1
    - type: max_f1_threshold
      value: 128.61376953125
      name: Max F1 Threshold
    - type: max_precision
      value: 0.8894186686227764
      name: Max Precision
    - type: max_recall
      value: 0.8805374001452433
      name: Max Recall
    - type: max_ap
      value: 0.947454791570092
      name: Max Ap
---

# SentenceTransformer based on jinaai/jina-embeddings-v2-small-en

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [jinaai/jina-embeddings-v2-small-en](https://huggingface.co/jinaai/jina-embeddings-v2-small-en). It maps sentences & paragraphs to a 512-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

## Model Details
https://wandb.ai/deklanw/sentence-transformers/runs/frjg0h13?nw=nwuserdeklanw

### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [jinaai/jina-embeddings-v2-small-en](https://huggingface.co/jinaai/jina-embeddings-v2-small-en) <!-- at revision 44e7d1d6caec8c883c2d4b207588504d519788d0 -->
- **Maximum Sequence Length:** 2048 tokens
- **Output Dimensionality:** 512 dimensions
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->

### Model Sources

- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)

### Full Model Architecture

```
SentenceTransformer(
  (0): Transformer({'max_seq_length': 2048, 'do_lower_case': False}) with Transformer model: JinaBertModel 
  (1): Pooling({'word_embedding_dimension': 512, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
```

## Usage

### Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

```bash
pip install -U sentence-transformers
```

Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("borgcollectivegmbh/jina-embeddings-v2-small-en_linkedin_profile_model_run1")
# Run inference
sentences = [
    'Experienced in SAP consultancy',
    '=== PERSON ===\nMärt Ehrenpreis\nN/A\nTallinn Metropolitan Area\n470\n\n=== ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Board Member CTO\n  2023-04 - N/A\n  N/A\n  Elron / Eesti Liinirongid AS \n  eestiliinirongid\n  Truck Transportation\n  Loome Sulle aega – viime Sind kohale kiiresti, turvaliselt ja mugavalt\n  414\n\nCompany Role #2:\n  Managing Director, Proxion Plan Estonia OÜ\n  2021-01 - 2023-04\n  N/A\n  Proxion\n  proxion-plan-oy\n  Civil Engineering\n  Proxion on osa WSP-yhtiöitä.\nOtathan seurantaan WSP in Finland -tilin!\n  2563\n\n>>> SCHOOL ROLES <<<\nNo school roles listed.',
    "=== PERSON ===\nHarvindar Singh Garcha\nHarvindar's passion for technology can be traced back right from his childhood, Getting into the field of computer science bought him to have more focus on his goal. He is a fast learner and easily adapts to new skills. He always has the hunger and curiosity to learn new skills. <br><br>He has expertise in the design &  development of RESTful APIs and back-end services utilizing Python ecosystem, Django, Flask, Docker, and SQL with an emphasis on scalability and security.<br><br>He is currently working as a full stack developer at AI Automotive company where he has worked on technologies Django, Flask, Python, RESTful APIs, React, Redux, Celery, and JavaScript, while keeping in mind all the secure code practices of OWASP top 10.<br><br>His specialties include quickly learning new skills, Programming languages, and Critical thinking in problem-solving.<br><br>In his free time, you will find him reading articles about the latest trending technologies on Internet,  Spending some time on Quora & hiking on the mountains.\nPune, Maharashtra, India\n1294\n\n=== ROLES ===\n>>> COMPANY ROLES <<<\n\nCompany Role #1:\n  Software Development Analyst\n  2020-04 - 2020-08\n  N/A\n  Metta Social\n  metta-social\n  IT Services and IT Consulting\n  Building world’s largest common good platform to enable sustainable impact at scale!\n  4002\n\nCompany Role #2:\n  Junior Backend Engineer\n  2020-09 - 2021-03\n  N/A\n  SRV Media\n  srv-media\n  Advertising Services\n  Insights | Ideas | Impact\n  49579\n\nCompany Role #3:\n  Full Stack Developer\n  2021-03 - 2022-01\n  N/A\n  SRV Media\n  srv-media\n  Advertising Services\n  Insights | Ideas | Impact\n  49579\n\nCompany Role #4:\n  Software Development Intern\n  2019-10 - 2020-03\n  Currently building a B2B social ecosystem platform where my daily work includes to develop and unit test REST API's using Flask and ORM using SQLAlchemy.<br><br>- Contributed 90% of the API's for mobile application which was build in just a month keeping in mind all the secure code practices of OWASP Top 10.<br><br>- Building REST API using Flask framework, for web app & checking the load balancing of concurrent users.<br>        <br>- Building database model using SQL-Alchemy, and connecting it to Heroku.<br><br>- Security Testing of the API's !\n  Metta Social\n  metta-social\n  IT Services and IT Consulting\n  Building world’s largest common good platform to enable sustainable impact at scale!\n  4002\n\nCompany Role #5:\n  Research And Development Engineer\n  2022-01 - N/A\n  N/A\n  Cerence Inc.\n  cerence\n  Software Development\n  Cerence is the global industry leader in creating unique, moving experiences for the mobility world.\n  44039\n\n>>> SCHOOL ROLES <<<\nNo school roles listed.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 512]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```

<!--
### Direct Usage (Transformers)

<details><summary>Click to see the direct usage in Transformers</summary>

</details>
-->

<!--
### Downstream Usage (Sentence Transformers)

You can finetune this model on your own dataset.

<details><summary>Click to expand</summary>

</details>
-->

<!--
### Out-of-Scope Use

*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->

## Evaluation

### Metrics

#### Binary Classification

* Datasets: ``, `rec_test_evaluator` and `query_test_evaluator`
* Evaluated with <code>custom_evaluator.BinaryClassificationEvaluator</code>

| Metric                       |            | rec_test_evaluator | query_test_evaluator |
|:-----------------------------|:-----------|:-------------------|:---------------------|
| cosine_accuracy              | 0.9527     | 0.9369             | 0.9622               |
| cosine_accuracy_threshold    | 0.2778     | 0.3141             | 0.263                |
| cosine_f1                    | 0.8559     | 0.7995             | 0.885                |
| cosine_f1_threshold          | 0.2539     | 0.2846             | 0.2541               |
| cosine_precision             | 0.8474     | 0.8165             | 0.8894               |
| cosine_recall                | 0.8646     | 0.7832             | 0.8805               |
| cosine_ap                    | 0.9214     | 0.87               | 0.9475               |
| dot_accuracy                 | 0.9287     | 0.9174             | 0.9483               |
| dot_accuracy_threshold       | 7.1923     | 4.7818             | 8.4253               |
| dot_f1                       | 0.7795     | 0.7457             | 0.8433               |
| dot_f1_threshold             | 6.0999     | 4.3656             | 7.5479               |
| dot_precision                | 0.7621     | 0.7486             | 0.8372               |
| dot_recall                   | 0.7976     | 0.7428             | 0.8495               |
| dot_ap                       | 0.8651     | 0.7954             | 0.9205               |
| manhattan_accuracy           | 0.8422     | 0.8619             | 0.8801               |
| manhattan_accuracy_threshold | 69.5022    | 69.5686            | 116.771              |
| manhattan_f1                 | 0.3987     | 0.507              | 0.56                 |
| manhattan_f1_threshold       | 133.9353   | 82.6656            | 128.6138             |
| manhattan_precision          | 0.2726     | 0.4506             | 0.5831               |
| manhattan_recall             | 0.742      | 0.5796             | 0.5387               |
| manhattan_ap                 | 0.3697     | 0.5479             | 0.6344               |
| euclidean_accuracy           | 0.8425     | 0.8626             | 0.8804               |
| euclidean_accuracy_threshold | 3.8574     | 3.8601             | 6.4738               |
| euclidean_f1                 | 0.3999     | 0.5062             | 0.5614               |
| euclidean_f1_threshold       | 7.4916     | 4.6146             | 7.1657               |
| euclidean_precision          | 0.2716     | 0.4435             | 0.5753               |
| euclidean_recall             | 0.7579     | 0.5894             | 0.5481               |
| euclidean_ap                 | 0.37       | 0.5487             | 0.6369               |
| max_accuracy                 | 0.9527     | 0.9369             | 0.9622               |
| max_accuracy_threshold       | 69.5022    | 69.5686            | 116.771              |
| max_f1                       | 0.8559     | 0.7995             | 0.885                |
| max_f1_threshold             | 133.9353   | 82.6656            | 128.6138             |
| max_precision                | 0.8474     | 0.8165             | 0.8894               |
| max_recall                   | 0.8646     | 0.7832             | 0.8805               |
| **max_ap**                   | **0.9214** | **0.87**           | **0.9475**           |

<!--
## Bias, Risks and Limitations

*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->

<!--
### Recommendations

*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->

## Training Details

### Training Dataset

#### Unnamed Dataset

* Size: 155,651 training samples
* Columns: <code>text1</code> and <code>text2</code>
* Approximate statistics based on the first 1000 samples:
  |         | text1                                                                                | text2                                                                                 |
  |:--------|:-------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------|
  | type    | string                                                                               | string                                                                                |
  | details | <ul><li>min: 5 tokens</li><li>mean: 231.14 tokens</li><li>max: 2048 tokens</li></ul> | <ul><li>min: 51 tokens</li><li>mean: 618.32 tokens</li><li>max: 2048 tokens</li></ul> |
* Samples:
  | text1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      | text2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
  |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  | <code>=== PERSON ===<br>Dr. Amol Charegaonkar<br>Alumnus of IIM Indore (FDP-Executive Education)<br>Specialties: Data Analysis, Finance<br>Pune, Maharashtra, India<br>4511<br><br>=== ROLES ===<br>>>> COMPANY ROLES <<<<br><br>Company Role #1:<br>  Principal Consultant<br>  2015-04 - 2021-06<br>  N/A<br>  Maruma Consultancy<br>  maruma-consultancy<br>  Human Resources Services<br>  People Development Simplified<br>  218<br><br>Company Role #2:<br>  Assistant Manager – Credit (Policy - Unsecured loans)<br>  2008-06 - 2009-01<br>  Job Responsibilities: As a Team Member of the Credit Policy &amp; Risk function<br>1.Analysis of Delinquent cases in Personal loans and Business Loans<br>2.Online analysis of cases booked under Personal and Business Loans <br>3.Auditing Pan India cases for credit underwriting w. r. t. Policy <br>4.Analyzing and publishing a Monthly Portfolio Review  for Personal Loans from the Risk Perspective like Delinquency &amp; Bounce Trend and Credit Appraisal Process <br>5.Incorporate the necessary changes required in the Lending Policy consid...</code> | <code>=== PERSON ===<br>Rajesh Baj<br>N/A<br>Hyderabad, Telangana, India<br>491<br><br>=== ROLES ===<br>>>> COMPANY ROLES <<<<br><br>Company Role #1:<br>  Sr.Officer Finance and Accounts<br>  2010-10 - N/A<br>  N/A<br>  JK Agri Genetics Limited<br>  jk-agri-genetics-limited<br>  Biotechnology Research<br>  Harvesting Happiness Through Innovations <br>  107873<br><br>Company Role #2:<br>  Assistant Manager<br>  2013-10 - N/A<br>  N/A<br>  JK Agri Genetics Limited<br>  jk-agri-genetics-limited<br>  Biotechnology Research<br>  Harvesting Happiness Through Innovations <br>  107873<br><br>Company Role #3:<br>  Officer- Finance and Accounts<br>  2007-05 - 2007-07<br>  Market Research in following Areas:-<br>1. Bandra-Kurla complex<br>2. Solitaire corporate Park Andheri<br>3. Udyog Bhavan, Garegaon<br>  HSBC<br>  hsbc<br>  Financial Services<br>  N/A<br>  N/A<br><br>>>> SCHOOL ROLES <<<<br>No school roles listed.</code>                                                                                                                                                                                  |
  | <code>=== PERSON ===<br>Gabriela Menezes<br>• Experiência em localização Brasil - TAXBRA, Nota Fiscal Eletrônica.<br>• Conhecimento em SAP Activate e ASAP.<br>• Experiência em suporte ao Cliente - AMS<br>São Paulo, São Paulo, Brazil<br>454<br><br>=== ROLES ===<br>>>> COMPANY ROLES <<<<br><br>Company Role #1:<br>  Consultora SAP SD S/4HANA<br>  2023 - N/A<br>  Atuação em -  AMS <br>Analise e resolução de chamados dentro do SLA estabelecido.<br>Atuação nas diversas solicitações de melhoria.<br>Resolução de problemas relacionados a NF-e<br>Testes unitários e integrados<br>Configuração de impostos e leis fiscais.<br>Configuração de conta contábil.<br>Resolução de erros relacionados a Pricing.<br>Conhecimento e vivência no processo de Retorno Simbólico.<br>Apoio as frentes MM e FI<br>Apoio a equipe de projetos em configurações, testes unitários e integrados.<br>  ITGCON Integração e Consultoria em Sistemas <br>  itgcon<br>  IT Services and IT Consulting<br>  Mais que uma implementadora, somos a ITGCON consultoria.<br>  4116<br><br>Company Role #2:<br>  Co...</code>       | <code>=== PERSON ===<br>Rafael Menezes<br>Consultor funcional SD com experiência em AMS, formado em Tecnologia da Informação.<br>- Principais qualificações:<br>- Conhecimento em Localização Brasil, Pricing, Nota Fiscal Eletrônica e GRC.<br>- Conhecimento das principais tabelas do módulo SD.<br>- Conhecimento na configuração de impostos na J1BTAX<br>- Conhecimento no cadastro de dados mestres de clientes e<br>materiais.<br>São Paulo, Brazil<br>117<br><br>=== ROLES ===<br>>>> COMPANY ROLES <<<<br><br>Company Role #1:<br>  Consultor SAP SD Pleno<br>  2023-05 - N/A<br>  N/A<br>  Capgemini<br>  capgemini<br>  IT Services and IT Consulting<br>  Get the future you want<br>  6721701<br><br>Company Role #2:<br>  Consultor Funcional SD JR/PL<br>  2021-12 - 2023-01<br>  - Suporte ao cliente – AMS;<br>- Análise e resolução de chamados respeitando SLA;<br>- Testes em cenários de vendas;<br>- Configuração de impostos  – J1BTAX;<br>- Resolução de erros referentes a rejeição de NF-e<br>- Resolução de erros referentes a CFOP<br>- Resolução de erros referentes a contas contábeis<br>- Criação de...</code> |
  | <code>=== PERSON ===<br>Anastasia Hanan, M.S., M.B.A (she/her)<br>~10 years of user research in both startups and enterprise. I am a senior researcher passionate about leading research that grounds product vision in data and emotion, highlights the user voice along with immediate/long term project risks, and optimizes for radically collaborative tactical execution through ambiguous problem spaces. <br><br>Specialties: Complex systems research, moving between qualitative research to quantitative insights at scale, crypto, Qualtrics, innovation and strategy, process optimization, rapid insight, cross functional collaboration, making AI make sense, visual storytelling, presentations that win contests, get millions in funding, and/or create actionable product roadmaps.<br>United States<br>1101<br><br>=== ROLES ===<br>>>> COMPANY ROLES <<<<br><br>Company Role #1:<br>  UX Researcher<br>  2022-11 - N/A<br>  N/A<br>  United States Digital Service<br>  united-states-digital-service<br>  Government Administration<br>  We're mission-driven professio...</code>                   | <code>=== PERSON ===<br>Stephanie Kokotakis<br>N/A<br>Los Angeles, California, United States<br>325<br><br>=== ROLES ===<br>>>> COMPANY ROLES <<<<br>No company roles listed.<br><br>>>> SCHOOL ROLES <<<<br>No school roles listed.</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
* Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
  ```json
  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  ```

### Evaluation Dataset

#### Unnamed Dataset

* Size: 47,595 evaluation samples
* Columns: <code>text1</code>, <code>text2</code>, and <code>label</code>
* Approximate statistics based on the first 1000 samples:
  |         | text1                                                                               | text2                                                                                 | label                                           |
  |:--------|:------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------|:------------------------------------------------|
  | type    | string                                                                              | string                                                                                | int                                             |
  | details | <ul><li>min: 5 tokens</li><li>mean: 221.5 tokens</li><li>max: 2048 tokens</li></ul> | <ul><li>min: 50 tokens</li><li>mean: 605.95 tokens</li><li>max: 2048 tokens</li></ul> | <ul><li>0: ~82.40%</li><li>1: ~17.60%</li></ul> |
* Samples:
  | text1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                | text2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | label          |
  |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|
  | <code>Nonprofit and association management expert</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             | <code>=== PERSON ===<br>Marius Strydom<br>Marius Strydom has spent 20 years producing innovative research on the SA financial services industry, with a specific focus on insurance. He was rated the top SA life assurance analyst twice and the top short-term insurance analyst 5 times while working at Investec and BJM. At Bank of America Merrill Lynch, Marius led the EEMEA Financial Sector Research team to a second place in the 2013 Institutional Investor survey. During 2013 and 2014, he worked on academic research, culminating in being published in the South African Actuarial Journal. Since 2015, as part of his work with MLAX Consulting, Marius analysed and produced bespoke research on numerous SA and UK financial companies. In 2020, Marius founded Austin Lawrence Gidon and together with global partner, Edison Investment Research, they are driving the sponsored research revolution in South Africa.<br>City of Cape Town, Western Cape, South Africa<br>1351<br><br>=== ROLES ===<br>>>> COMPANY ROLES <<<<br><br>Company Role #...</code>                                                    | <code>0</code> |
  | <code>Expert in Alienware product support</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | <code>=== PERSON ===<br>Ryan Talbot<br>With over 25 years of experience in physical security, Identity management, and video surveillance, Ryan is recognized as a leader in the design and implementation of major technology solutions.<br><br>Ryan has managed major security and IT system implementations for government, commercial, transport, data centres, gaming & casinos, retail, law enforcement and critical infrastructure environments. Ryan has worked closely with major technology brands in the design and development of hardware and software products throughout; Australia, Europe, North America and Asia.<br><br>A leader in advanced video solutions and a former committee member of the AS/NZS 62676:5 standards, an experienced project manager and is PRINCE2 certified. He has a certificate IV in security risk management and qualifications in security electronics and sports performance.<br><br>Ryan has also been involved in the development and design of many new technologies for IP cameras, customised ...</code>                                                                         | <code>0</code> |
  | <code>=== PERSON ===<br>Kevin Watson<br>Specialties: Parametric cost estimation,<br>WLC / LCC analysis,    <br>Logistics and supportability modelling.     <br>Economic LORA, <br>Spares modelling,<br><br>Tools / Applications: PRICE® TruePlanning®, EDCAS®, VMetric®<br>United Kingdom<br>389<br><br>=== ROLES ===<br>>>> COMPANY ROLES <<<<br><br>Company Role #1:<br>  Senior Consultant<br>  2013-09 - N/A<br>  N/A<br>  QinetiQ<br>  qinetiq_2<br>  Defense and Space Manufacturing<br>  Create It. Test It. Use It.<br>  122597<br><br>Company Role #2:<br>  Support Modelling Team Lead<br>  2004-06 - 2011-02<br>  N/A<br>  General Dynamics UK Limited<br>  general-dynamics-uk-limited<br>  Defense and Space Manufacturing<br>  General Dynamics UK is one of the UK’s leading defence companies and an important supplier to the UK Ministry of Defence<br>  29195<br><br>Company Role #3:<br>  Estimation Specialist Senior Engineer<br>  2011-02 - 2013-09<br>  N/A<br>  General Dynamics UK Limited<br>  general-dynamics-uk-limited<br>  Defense and Space Manufacturing<br>  General Dynamics UK is one of the UK’s leading defence com...</code> | <code>=== PERSON ===<br>Kyle Biron, M.S.<br>N/A<br>Raleigh-Durham-Chapel Hill Area<br>308<br><br>=== ROLES ===<br>>>> COMPANY ROLES <<<<br><br>Company Role #1:<br>  Clinical Informatics Analyst Associate<br>  2017-05 - 2018-05<br>  • Data analyst at the Grow Baby Grow biostatistics lab at Kennesaw State University <br>• Statistical programming and statistical modeling using the Pediatrix Medical Group, Inc. database of over 1.2 million infant records to solve medical problems<br>• Received acknowledgement in a Neonatology publication comparing BMI with other proportionality measurements<br>• En route to another publication comparing popular intrauterine preterm growth curves<br>• Supervisory experience by managing and collaborating with other biostatisticians<br>  Kennesaw State University<br>  kennesaw-state-university<br>  N/A<br>  We are KSU Owls. And together, we're ascending.<br>  167722<br><br>Company Role #2:<br>  Health Data Analyst II<br>  2022-06 - N/A<br>  N/A<br>  Nuna Inc.<br>  nuna-inc<br>  IT Services and IT Consulting<br>  Driven by Data, Guided by Com...</code> | <code>0</code> |
* Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
  ```json
  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  ```

### Training Hyperparameters
#### Non-Default Hyperparameters

- `eval_strategy`: steps
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 32
- `learning_rate`: 2e-05
- `num_train_epochs`: 1
- `warmup_ratio`: 0.1
- `bf16`: True
- `load_best_model_at_end`: True
- `batch_sampler`: no_duplicates

#### All Hyperparameters
<details><summary>Click to expand</summary>

- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 32
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 2e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 1
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: True
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: None
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`: 
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: proportional

</details>

### Training Logs
<details><summary>Click to expand</summary>

| Epoch      | Step     | Training Loss | Validation Loss | max_ap | rec_test_evaluator_max_ap | query_test_evaluator_max_ap |
|:----------:|:--------:|:-------------:|:---------------:|:------:|:-------------------------:|:---------------------------:|
| 0          | 0        | -             | -               | 0.4584 | 0.5698                    | 0.7804                      |
| 0.0051     | 50       | 1.9282        | -               | -      | -                         | -                           |
| 0.0103     | 100      | 1.754         | -               | -      | -                         | -                           |
| 0.0154     | 150      | 1.4681        | -               | -      | -                         | -                           |
| 0.0206     | 200      | 1.1736        | -               | -      | -                         | -                           |
| 0.0257     | 250      | 1.0527        | -               | -      | -                         | -                           |
| 0.0308     | 300      | 0.9073        | -               | -      | -                         | -                           |
| 0.0360     | 350      | 0.9088        | -               | -      | -                         | -                           |
| 0.0411     | 400      | 0.8556        | -               | -      | -                         | -                           |
| 0.0463     | 450      | 0.77          | -               | -      | -                         | -                           |
| 0.0514     | 500      | 0.7768        | -               | -      | -                         | -                           |
| 0.0565     | 550      | 0.5559        | -               | -      | -                         | -                           |
| 0.0617     | 600      | 0.7102        | -               | -      | -                         | -                           |
| 0.0668     | 650      | 0.6498        | -               | -      | -                         | -                           |
| 0.0719     | 700      | 0.699         | -               | -      | -                         | -                           |
| 0.0771     | 750      | 0.6628        | -               | -      | -                         | -                           |
| 0.0822     | 800      | 0.7298        | -               | -      | -                         | -                           |
| 0.0874     | 850      | 0.6278        | -               | -      | -                         | -                           |
| 0.0925     | 900      | 0.6033        | -               | -      | -                         | -                           |
| 0.0976     | 950      | 0.5783        | -               | -      | -                         | -                           |
| 0.1028     | 1000     | 0.6187        | -               | -      | -                         | -                           |
| 0.1079     | 1050     | 0.5712        | -               | -      | -                         | -                           |
| 0.1131     | 1100     | 0.6375        | -               | -      | -                         | -                           |
| 0.1182     | 1150     | 0.6028        | -               | -      | -                         | -                           |
| 0.1233     | 1200     | 0.6227        | -               | -      | -                         | -                           |
| 0.1285     | 1250     | 0.5955        | -               | -      | -                         | -                           |
| 0.1336     | 1300     | 0.6402        | -               | -      | -                         | -                           |
| 0.1388     | 1350     | 0.5982        | -               | -      | -                         | -                           |
| 0.1439     | 1400     | 0.6085        | -               | -      | -                         | -                           |
| 0.1490     | 1450     | 0.6163        | -               | -      | -                         | -                           |
| 0.1542     | 1500     | 0.6304        | -               | -      | -                         | -                           |
| 0.1593     | 1550     | 0.5499        | -               | -      | -                         | -                           |
| 0.1645     | 1600     | 0.5648        | -               | -      | -                         | -                           |
| 0.1696     | 1650     | 0.6121        | -               | -      | -                         | -                           |
| 0.1747     | 1700     | 0.5499        | -               | -      | -                         | -                           |
| 0.1799     | 1750     | 0.518         | -               | -      | -                         | -                           |
| 0.1850     | 1800     | 0.565         | -               | -      | -                         | -                           |
| 0.1902     | 1850     | 0.5966        | -               | -      | -                         | -                           |
| 0.1953     | 1900     | 0.559         | -               | -      | -                         | -                           |
| 0          | 0        | -             | -               | 0.9020 | -                         | -                           |
| 0.2000     | 1946     | -             | 4.7301          | -      | -                         | -                           |
| 0.2004     | 1950     | 0.6196        | -               | -      | -                         | -                           |
| 0.2056     | 2000     | 0.5304        | -               | -      | -                         | -                           |
| 0.2107     | 2050     | 0.5613        | -               | -      | -                         | -                           |
| 0.2158     | 2100     | 0.5716        | -               | -      | -                         | -                           |
| 0.2210     | 2150     | 0.5914        | -               | -      | -                         | -                           |
| 0.2261     | 2200     | 0.5692        | -               | -      | -                         | -                           |
| 0.2313     | 2250     | 0.5049        | -               | -      | -                         | -                           |
| 0.2364     | 2300     | 0.5064        | -               | -      | -                         | -                           |
| 0.2415     | 2350     | 0.5624        | -               | -      | -                         | -                           |
| 0.2467     | 2400     | 0.482         | -               | -      | -                         | -                           |
| 0.2518     | 2450     | 0.5529        | -               | -      | -                         | -                           |
| 0.2570     | 2500     | 0.5037        | -               | -      | -                         | -                           |
| 0.2621     | 2550     | 0.5702        | -               | -      | -                         | -                           |
| 0.2672     | 2600     | 0.5219        | -               | -      | -                         | -                           |
| 0.2724     | 2650     | 0.4623        | -               | -      | -                         | -                           |
| 0.2775     | 2700     | 0.5232        | -               | -      | -                         | -                           |
| 0.2827     | 2750     | 0.5867        | -               | -      | -                         | -                           |
| 0.2878     | 2800     | 0.5514        | -               | -      | -                         | -                           |
| 0.2929     | 2850     | 0.5288        | -               | -      | -                         | -                           |
| 0.2981     | 2900     | 0.5069        | -               | -      | -                         | -                           |
| 0.3032     | 2950     | 0.5761        | -               | -      | -                         | -                           |
| 0.3084     | 3000     | 0.525         | -               | -      | -                         | -                           |
| 0.3135     | 3050     | 0.5664        | -               | -      | -                         | -                           |
| 0.3186     | 3100     | 0.6317        | -               | -      | -                         | -                           |
| 0.3238     | 3150     | 0.5479        | -               | -      | -                         | -                           |
| 0.3289     | 3200     | 0.553         | -               | -      | -                         | -                           |
| 0.3341     | 3250     | 0.4752        | -               | -      | -                         | -                           |
| 0.3392     | 3300     | 0.5127        | -               | -      | -                         | -                           |
| 0.3443     | 3350     | 0.5699        | -               | -      | -                         | -                           |
| 0.3495     | 3400     | 0.5394        | -               | -      | -                         | -                           |
| 0.3546     | 3450     | 0.507         | -               | -      | -                         | -                           |
| 0.3597     | 3500     | 0.5938        | -               | -      | -                         | -                           |
| 0.3649     | 3550     | 0.539         | -               | -      | -                         | -                           |
| 0.3700     | 3600     | 0.525         | -               | -      | -                         | -                           |
| 0.3752     | 3650     | 0.4864        | -               | -      | -                         | -                           |
| 0.3803     | 3700     | 0.5308        | -               | -      | -                         | -                           |
| 0.3854     | 3750     | 0.4859        | -               | -      | -                         | -                           |
| 0.3906     | 3800     | 0.513         | -               | -      | -                         | -                           |
| 0.3957     | 3850     | 0.5332        | -               | -      | -                         | -                           |
| 0          | 0        | -             | -               | 0.9121 | -                         | -                           |
| 0.4000     | 3892     | -             | 4.7785          | -      | -                         | -                           |
| 0.4009     | 3900     | 0.474         | -               | -      | -                         | -                           |
| 0.4060     | 3950     | 0.458         | -               | -      | -                         | -                           |
| 0.4111     | 4000     | 0.5066        | -               | -      | -                         | -                           |
| 0.4163     | 4050     | 0.5217        | -               | -      | -                         | -                           |
| 0.4214     | 4100     | 0.5381        | -               | -      | -                         | -                           |
| 0.4266     | 4150     | 0.4994        | -               | -      | -                         | -                           |
| 0.4317     | 4200     | 0.508         | -               | -      | -                         | -                           |
| 0.4368     | 4250     | 0.4696        | -               | -      | -                         | -                           |
| 0.4420     | 4300     | 0.5563        | -               | -      | -                         | -                           |
| 0.4471     | 4350     | 0.4831        | -               | -      | -                         | -                           |
| 0.4523     | 4400     | 0.4532        | -               | -      | -                         | -                           |
| 0.4574     | 4450     | 0.5056        | -               | -      | -                         | -                           |
| 0.4625     | 4500     | 0.5409        | -               | -      | -                         | -                           |
| 0.4677     | 4550     | 0.5122        | -               | -      | -                         | -                           |
| 0.4728     | 4600     | 0.4593        | -               | -      | -                         | -                           |
| 0.4780     | 4650     | 0.5206        | -               | -      | -                         | -                           |
| 0.4831     | 4700     | 0.4803        | -               | -      | -                         | -                           |
| 0.4882     | 4750     | 0.478         | -               | -      | -                         | -                           |
| 0.4934     | 4800     | 0.5563        | -               | -      | -                         | -                           |
| 0.4985     | 4850     | 0.5191        | -               | -      | -                         | -                           |
| 0.5036     | 4900     | 0.4981        | -               | -      | -                         | -                           |
| 0.5088     | 4950     | 0.5075        | -               | -      | -                         | -                           |
| 0.5139     | 5000     | 0.5035        | -               | -      | -                         | -                           |
| 0.5191     | 5050     | 0.4375        | -               | -      | -                         | -                           |
| 0.5242     | 5100     | 0.515         | -               | -      | -                         | -                           |
| 0.5293     | 5150     | 0.4386        | -               | -      | -                         | -                           |
| 0.5345     | 5200     | 0.4757        | -               | -      | -                         | -                           |
| 0.5396     | 5250     | 0.4715        | -               | -      | -                         | -                           |
| 0.5448     | 5300     | 0.452         | -               | -      | -                         | -                           |
| 0.5499     | 5350     | 0.4789        | -               | -      | -                         | -                           |
| 0.5550     | 5400     | 0.4839        | -               | -      | -                         | -                           |
| 0.5602     | 5450     | 0.472         | -               | -      | -                         | -                           |
| 0.5653     | 5500     | 0.4779        | -               | -      | -                         | -                           |
| 0.5705     | 5550     | 0.4804        | -               | -      | -                         | -                           |
| 0.5756     | 5600     | 0.4778        | -               | -      | -                         | -                           |
| 0.5807     | 5650     | 0.4542        | -               | -      | -                         | -                           |
| 0.5859     | 5700     | 0.5099        | -               | -      | -                         | -                           |
| 0.5910     | 5750     | 0.5326        | -               | -      | -                         | -                           |
| 0.5962     | 5800     | 0.4859        | -               | -      | -                         | -                           |
| 0          | 0        | -             | -               | 0.9162 | -                         | -                           |
| 0.6001     | 5838     | -             | 4.7525          | -      | -                         | -                           |
| 0.6013     | 5850     | 0.4558        | -               | -      | -                         | -                           |
| 0.6064     | 5900     | 0.4429        | -               | -      | -                         | -                           |
| 0.6116     | 5950     | 0.4862        | -               | -      | -                         | -                           |
| 0.6167     | 6000     | 0.453         | -               | -      | -                         | -                           |
| 0.6219     | 6050     | 0.4795        | -               | -      | -                         | -                           |
| 0.6270     | 6100     | 0.4835        | -               | -      | -                         | -                           |
| 0.6321     | 6150     | 0.4517        | -               | -      | -                         | -                           |
| 0.6373     | 6200     | 0.4654        | -               | -      | -                         | -                           |
| 0.6424     | 6250     | 0.4076        | -               | -      | -                         | -                           |
| 0.6475     | 6300     | 0.4213        | -               | -      | -                         | -                           |
| 0.6527     | 6350     | 0.5258        | -               | -      | -                         | -                           |
| 0.6578     | 6400     | 0.4392        | -               | -      | -                         | -                           |
| 0.6630     | 6450     | 0.467         | -               | -      | -                         | -                           |
| 0.6681     | 6500     | 0.4382        | -               | -      | -                         | -                           |
| 0.6732     | 6550     | 0.4254        | -               | -      | -                         | -                           |
| 0.6784     | 6600     | 0.4647        | -               | -      | -                         | -                           |
| 0.6835     | 6650     | 0.4333        | -               | -      | -                         | -                           |
| 0.6887     | 6700     | 0.5067        | -               | -      | -                         | -                           |
| 0.6938     | 6750     | 0.4584        | -               | -      | -                         | -                           |
| 0.6989     | 6800     | 0.4843        | -               | -      | -                         | -                           |
| 0.7041     | 6850     | 0.441         | -               | -      | -                         | -                           |
| 0.7092     | 6900     | 0.4461        | -               | -      | -                         | -                           |
| 0.7144     | 6950     | 0.5262        | -               | -      | -                         | -                           |
| 0.7195     | 7000     | 0.463         | -               | -      | -                         | -                           |
| 0.7246     | 7050     | 0.4917        | -               | -      | -                         | -                           |
| 0.7298     | 7100     | 0.4288        | -               | -      | -                         | -                           |
| 0.7349     | 7150     | 0.4572        | -               | -      | -                         | -                           |
| 0.7401     | 7200     | 0.523         | -               | -      | -                         | -                           |
| 0.7452     | 7250     | 0.4868        | -               | -      | -                         | -                           |
| 0.7503     | 7300     | 0.4292        | -               | -      | -                         | -                           |
| 0.7555     | 7350     | 0.3998        | -               | -      | -                         | -                           |
| 0.7606     | 7400     | 0.4515        | -               | -      | -                         | -                           |
| 0.7658     | 7450     | 0.5028        | -               | -      | -                         | -                           |
| 0.7709     | 7500     | 0.4417        | -               | -      | -                         | -                           |
| 0.7760     | 7550     | 0.4908        | -               | -      | -                         | -                           |
| 0.7812     | 7600     | 0.4344        | -               | -      | -                         | -                           |
| 0.7863     | 7650     | 0.4956        | -               | -      | -                         | -                           |
| 0.7914     | 7700     | 0.3898        | -               | -      | -                         | -                           |
| 0.7966     | 7750     | 0.4512        | -               | -      | -                         | -                           |
| 0          | 0        | -             | -               | 0.9214 | -                         | -                           |
| **0.8001** | **7784** | **-**         | **4.7145**      | **-**  | **-**                     | **-**                       |
| 0.8017     | 7800     | 0.5104        | -               | -      | -                         | -                           |
| 0.8069     | 7850     | 0.4543        | -               | -      | -                         | -                           |
| 0.8120     | 7900     | 0.4041        | -               | -      | -                         | -                           |
| 0.8171     | 7950     | 0.472         | -               | -      | -                         | -                           |
| 0.8223     | 8000     | 0.4535        | -               | -      | -                         | -                           |
| 0.8274     | 8050     | 0.4412        | -               | -      | -                         | -                           |
| 0.8326     | 8100     | 0.4776        | -               | -      | -                         | -                           |
| 0.8377     | 8150     | 0.3992        | -               | -      | -                         | -                           |
| 0.8428     | 8200     | 0.4332        | -               | -      | -                         | -                           |
| 0.8480     | 8250     | 0.4767        | -               | -      | -                         | -                           |
| 0.8531     | 8300     | 0.453         | -               | -      | -                         | -                           |
| 0.8583     | 8350     | 0.4321        | -               | -      | -                         | -                           |
| 0.8634     | 8400     | 0.4654        | -               | -      | -                         | -                           |
| 0.8685     | 8450     | 0.3688        | -               | -      | -                         | -                           |
| 0.8737     | 8500     | 0.4515        | -               | -      | -                         | -                           |
| 0.8788     | 8550     | 0.4693        | -               | -      | -                         | -                           |
| 0.8840     | 8600     | 0.404         | -               | -      | -                         | -                           |
| 0.8891     | 8650     | 0.5471        | -               | -      | -                         | -                           |
| 0.8942     | 8700     | 0.5301        | -               | -      | -                         | -                           |
| 0.8994     | 8750     | 0.4714        | -               | -      | -                         | -                           |
| 0.9045     | 8800     | 0.4863        | -               | -      | -                         | -                           |
| 0.9097     | 8850     | 0.4712        | -               | -      | -                         | -                           |
| 0.9148     | 8900     | 0.4446        | -               | -      | -                         | -                           |
| 0.9199     | 8950     | 0.41          | -               | -      | -                         | -                           |
| 0.9251     | 9000     | 0.4175        | -               | -      | -                         | -                           |
| 0.9302     | 9050     | 0.4678        | -               | -      | -                         | -                           |
| 0.9353     | 9100     | 0.4308        | -               | -      | -                         | -                           |
| 0.9405     | 9150     | 0.4532        | -               | -      | -                         | -                           |
| 0.9456     | 9200     | 0.4643        | -               | -      | -                         | -                           |
| 0.9508     | 9250     | 0.4197        | -               | -      | -                         | -                           |
| 0.9559     | 9300     | 0.4488        | -               | -      | -                         | -                           |
| 0.9610     | 9350     | 0.5365        | -               | -      | -                         | -                           |
| 0.9662     | 9400     | 0.475         | -               | -      | -                         | -                           |
| 0.9713     | 9450     | 0.438         | -               | -      | -                         | -                           |
| 0.9765     | 9500     | 0.3648        | -               | -      | -                         | -                           |
| 0.9816     | 9550     | 0.4277        | -               | -      | -                         | -                           |
| 0.9867     | 9600     | 0.4721        | -               | -      | -                         | -                           |
| 0.9919     | 9650     | 0.4603        | -               | -      | -                         | -                           |
| 0.9970     | 9700     | 0.3954        | -               | -      | -                         | -                           |
| 0          | 0        | -             | -               | 0.9214 | 0.8700                    | 0.9475                      |

* The bold row denotes the saved checkpoint.
</details>

### Framework Versions
- Python: 3.12.8
- Sentence Transformers: 3.4.1
- Transformers: 4.48.1
- PyTorch: 2.6.0+cu124
- Accelerate: 1.3.0
- Datasets: 3.2.0
- Tokenizers: 0.21.0

## Citation

### BibTeX

#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}
```

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