ennygaebs/cv-job-matcher-mini

SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2

This is a sentence-transformers model finetuned from sentence-transformers/all-MiniLM-L6-v2. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

• Model Type: Sentence Transformer
• Base model: sentence-transformers/all-MiniLM-L6-v2
• Maximum Sequence Length: 256 tokens
• Output Dimensionality: 384 dimensions
• Similarity Function: Cosine Similarity

Model Sources

• Documentation: Sentence Transformers Documentation
• Repository: Sentence Transformers on GitHub
• Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: BertModel 
  (1): Pooling({'word_embedding_dimension': 384, '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})
  (2): Normalize()
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    "SummaryData Entry experienced and adept at inputing and maintaining databases. Certified in 10-key and skilled at creating effective organizational and filing systems. Types 60 WPM. Experience working in office setting with confidentiality as one of my top priorities.\nHighlightsMicrosoft Office proficiencyMeticulous attention to detailSelf-directedExcellent communication skillsStrong problem solverResourcefulPleasant demeanorCustomer service-orientedMulti-line phone proficiencyFiling and data archivingHIPAA complianceTime management\nEducationGED \nSprague High SchoolSalem,ORExpected in––High School Diploma:-GPA:Chemeketa Community CollegeSalem,ORExpected in––Associate of Arts:2 year Oregon transfer degree-GPA:Sept 2011 to present/96 credit hours with associates degree anticipated.\nExperienceWestern Paper Distributors-Receptionist/Data EntryAlbuquerque,NM,08/2011-11/2015Arranged appropriate travel, agendas, necessary contacts and flight information.Scheduled meetings and assisted with meeting materials and agendas.Handled and distributed all incoming and outgoing mail.Managed incoming and outgoing calls for office.Scheduled and confirmed appointments.Communicated with employees via phone, email and in person to obtain and give information.Successfully established effective systems for record retention by creating database for daily correspondence tracking. Data entry main part of daily job duties.Arlington County, Va-Human Services SpecialistArlington,VA,11/2008-08/2011Interviews applicants to determine need and eligibility and then makes a preliminary assessment of client's needs and explores alternative resources to link clients to.Questions applicant to verify information.Explains rules, regulations, procedures and responsibilities to applicants.Makes changes to client's information based on reported changes (eg, changes in household, income, or resources).Makes decisions for continued eligibility and issues benefits for state food stamp, medical, daycare, Domestic Violence program and other programs for clients of the Department of Human Services.Daily contact with applicants, outside community partners, community resources and providers.Telephone, in person, and email contact daily.Sometimes deal with hostile individuals.Fhi 360-Program AssistantDurham,NC,07/2008-11/2008Work closely with JOBS program participants.Regularly update attendance on Tracs, make new steps for activities, set-up daycare for JOBS clients and answer daycare questions.Conduct home visits, make follow-up phone calls, narrate information using Tracs system.Navigate all DHS screens to find information regarding client's case information, answer phone calls, emails, and file case information in client files.Work with clients on employment goals, Work experience sites, JOBS Plus sites, and others.Assist TANF case managers with case load.Montgomery County, Oh-Transition CounselorDayton,OH,02/2008-07/2008Work from a client centered practice framework- providing high quality personal support to assist them to address a range of barriers which may be preventing them from moving forward.Establish a positive working relationship with clients, which are founded on dignity and respect.Provide assessment of clients and develop clear and transparent solution focused action plans for transitional purposes.Provide relevant and timely information and advice to clients to enable them to make informed decisions and develop problem solving capacity for when they release from custody.Advocate with and for clients where appropriate in a way that build their capacity and confidence to advocate on their own behalf.Source appropriate services and provide supported referral to specialized services including drug.and alcohol, housing, food, counseling, clothing resources, parole and probation etc.Teach life skill classes around transitional services.Case manage individuals.Follow the expectations of the Department of Corrections.Arlington County, Va-Corrections Transition CoordinatorArlington,VA,03/2007-08/2007Transition Services include: Conducting classes for individuals 120 days from release, processing social security and birth certificate applications, finding suitable housing, clothing, food boxes, etc.Extensive communication with the public, outside resources, and other state and county agencies.Meeting with inmates to provide one on one service, interviewing and taking notes on their individual needs.Helping to find resources for them in the county they are paroling to.Answering kytes (in-facility communication), emails, and phones.Attending meetings, trainings, and workshops.Researching community resources, finding mentors, and services.Handing out food stamp packets, disability packets, DMV info, and many other items that individuals incarcerated may need.Handling phone conferences between outside resources and the inmates, and parole offices and the inmates.Setting up call-outs for appointments such as, Parole officers, community partners, transition fairs, housing, and mentors.Teaching classes and getting individuals into the institution for speaking engagements.Collaboration of agencies to remove barriers that prevent offenders from accessing services.Establish structured community referral system including having ongoing communication and collaboration among community corrections and other various organizations.Use faith-based services and Home For Good Program.Have over 250 community contacts for the transition program at Santiam and Mill Creek.Over 65% of time is spent communicating with outside community and partner organizations to help incarcerated individuals transition successfully into the community.Work closely with institution counselors, security staff, and management team.Security, assist with transition services for paroling inmates.Department Of Corrections-Corrections OfficerCity,STATE,07/2005-03/2007Provide positive reinforcement to inmates, patrol housing, and conduct bunk searches.Interact continuously with inmates; provide positive reinforcement when appropriate, and role model appropriate behavior using the Oregon Accountability Model.Prepare and write a variety of reports regarding inmate conduct and other institutional issues using a wide range of programs including DOC 400.Restrain violent inmates, may sight and fire weapons, patrol housing units keeping constant control of housing unit and inmate population.Conduct bunk searches and may come in contact with unsafe items.Enter and retrieve information using a computer, and answer housing unit telephones.Conduct inmate pat downs that include: inspecting inmates for contraband hidden in various areas.Distinguishing distant emergency whistles, listen for whispers and conversations at a distance, and react instantly and appropriately to emergencies.Supervise inmates in a variety of housing and work environments.Operates an institution vehicle to transport inmates.Always works as a team player keeping DOC procedures and policies in mind.DPSST trained.Department Of Human Services-Human Services SpecialistCity,STATE,11/2004-03/2005Manage caseload, determine ongoing client eligibility, and make referrals.My duties in this position where as follows: Assessing the needs of applicants, determining eligibility, issuing benefits for the Food Stamp and state medical programs, managing a caseload that varied from 150-200 clients at a time, kept up on all eligibility requirements including rules and regulations, made referrals for clients to outside local agencies that could possibly assist them, answered a mulit-line phone, responded to numerous emails per day from inside my agency and outside partners in the community, case managed and determined ongoing eligibility at review time, responded to a high volume of mail that came in every day, prepared and maintained proper narration on each client's case using computer program, typed up letters and memos that went out to clients, conducted face to face interviews to gather information that would help me determine eligibility, team work, and client/customer confidentiality.Explained food stamp and state medical program guidelines, policy and procedures to clients and potential clients.Monitored client's cases for updates, case status, and case reviews/re-determinations.I also received experience working the front reception desk and seeing a high number of people on a daily basis some who became irate or hostile, answered many questions regarding different programs available, handed out applications, helped clients and potential clients fill out applications and other material, referred clients to other outside resources in their community, answered a multi-line telephone and either transferred the calls to the appropriate person or helped the caller with questions surrounding their benefits or the program they were on, working the mailroom which including retrieving all incoming mail and distributing to workers and managers in office, being extremely organized and timely, processed applications and reapplications for the food stamp, medical, and TANF.",
    'ROR Partners is a rapidly growing, client-driven digital marketing and data company. We offer proven marketing solutions to a variety of vertical industries on a nationwide basis.\nROR is seeking a Principal Data Engineer to serve as a key data architect and team leader on our data engineering team. The successful candidate will have demonstrated deep understanding and passion for designing and implementing robust ETL and ELT data pipelines. Position is remote and reports to the VP, Engineering. Salary is $170K to $195K and is determined by factors such as location, experience, and expertise. \nWhat you will doBuild, maintain, and administer our Snowflake data warehouse using Data Build Tool (dbt)Implement and maintain data pipelines between various operational systems and our data warehouse using Python, Airflow and integration platformsCreate and maintain documentation of data architectureCollaborate with internal and external stakeholders to ensure that data requirements are addressedMentor and lead other data engineering team members and participate in peer design and code reviewsShip production-quality features independentlyWork efficiently and productively in a remote-first work environmentCommunicate and collaborate effectively, both verbally and in writingLearn independently - keep up to date with developments in the field\nQualificationsWhat we are looking forHistory of professional experience shipping production quality code independentlyAbility and desire to lead and mentor a team of data engineersExpertise with SQL and cloud-based analytical data warehouses (Snowflake preferred)Expertise building end-to-end data pipelines using Airflow and dbt (data build tool) or comparable technologiesDeep understanding of ETL and ELT patterns and best practicesStrong data modeling skills and familiarity with the Kimball data warehousing methodologyExperience writing Python code for data processingDesire to continually keep up with advancements in data engineering practicesExperience conducting design and code reviewsStrong analytical skills and independent learning styleExperience with git and use of the command line requiredExperience with AWS and CloudFormation, or comparable cloud services and IaC tools preferredExperience with Docker and Docker Compose preferredSubject matter familiarity with digital marketing and digital activation is preferred\nEducationTrainingRequired: BS Degree in computer science or related STEM field\nExperience8+ years of experience in data science, software engineering or related technical fields.\nROR Partners is an Equal Opportunity Employer. ROR Partners policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. ROR Partners also prohibits harassment of applicants and employees based on any of these protected categories.\nROR Partners will provide accommodations to applicants as needed.',
    "Driven, empowering, transformative. Academic Partnerships creates collaborative, student centered partnerships with the universities we serve. At AP, we drive change through innovation in online education using the strengths, experience, and culture of our people. As a leader in online program management, we are focused on supporting scalable online program success for our university partners and the students they serve, their local communities, school systems, business, and the local labor market. Our OneAP, culture is built on the foundation of our mission - to increase access to high-quality, affordable, and workforce-relevant education.\nWe're seeking a driven, highly motivated Sr. Marketing Analyst to join our Business Transformation and Operations team (Btop). As Sr. Marketing Analyst, you will gain exposure to all aspects of marketing, both strategic and tactical, across all marketing channels. Through mentorship from senior members of the leadership team, you will help conduct analysis to shape APs key strategic initiatives. Working on a cross-functional project basis, you will be responsible for helping to structure problems, develop hypotheses, and deliver value-add strategic recommendations to drive overall business growth\nResponsibilities Include\nAssist in the development and execution of marketing strategies and campaignsAnalyze the performance of marketing campaigns to improve targeting and ROIDevelop reports highlighting opportunities for marketing campaignsPartner with external vendors (Google, Facebook, etc.) to implement marketing best practicesWork closely with cross-functional teams to gather and analyze data, identify key performance indicators (KPIs), and provide insights on performance trends, risks, and opportunitiesUtilize data-driven insights, ranging from customer performance to internal operations, to identify areas of improvement and develop actionable recommendationsForm a deep understanding of APs processes, systemstools, personnel, strategic direction, and broader market ecosystem (university partners, marketing channels, contact center operational dynamics)Work closely with Directors on the Business Transformation & Operations team (Transformation Strategy & Ops, Partner Strategy & Analytics, Revenue Strategy & Analytics, Operations & Analytics) in shaping the future of the organization through data-driven insights and strategic decision-makingHigh intensity, high impact projects with rewarding career development and growthA dynamic and fast-paced work environment that requires agility and adaptability to meet evolving business needsCollaboration with cross-functional teams and exposure to various stakeholders, including executive leadership\nRequirements Include\nBachelor's degree requiredAt least 5 years of experience in analytics areaProficient in SQL.Fluent in MS ExcelPython R preferredPrior experience in marketing analytics preferredDemonstrated knowledge of Web Analytics tools (Google Analytics, Adobe Analytics, etc.)Demonstrated knowledge of StatisticsAB Testing experienceGood communication and presentation skillsStrong analytical and problem-solving skillsCollaborative problem-solving mindset and the ability to work effectively in cross-functional teams, driving change through influenceDemonstrated ability to work through complex business problems and partner with internal clients using consultative approach\nAcademic Partnerships Offers The Following Comprehensive Benefits\nPTO  accumulated from day one11 designated holidaysMedical  four options (including PPO and HDP)DentalVisionLife & Disability (company paid)Flexible Spending Account & Health Savings Account (company contribution to HSA)Retirement plan with company matchMaternity  Paternity  Parental Leave (company paid)Volunteer Time Off\nSupplemental Benefits\nWellness programAlternative medicine optionsPet discountsAccident, Critical Illness and Hospital Indemnity\nPersonal And Professional Development\nContinuous Professional and Leadership Development ProgramsTuition Reimbursement for employees and their dependents\nAcademic Partnerships is an equal opportunity employer and supports a diverse and inclusive workforce.\n",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

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

Training Details

Training Dataset

Unnamed Dataset

• Size: 6,241 training samples
• Columns: sentence_0, sentence_1, and label
• Approximate statistics based on the first 1000 samples:

  	sentence_0	sentence_1	label
  type	string	string	float
  details	min: 256 tokens mean: 256.0 tokens max: 256 tokens	min: 16 tokens mean: 231.34 tokens max: 256 tokens	min: 0.0 mean: 0.39 max: 1.0

• Samples:

  sentence_0	sentence_1	label
  Professional BackgroundAnalyst versed in data analysis and reporting, user acceptance testing, as well as solving complex problems in high-pressure environments.  Excels at cultivating, managing, and leveraging relationships Skill HighlightsMicrosoft Access, Microsoft Excel, SAS, SQL Server Manager, Cognos, Crystal ReportsBusiness Objects, SQL, Tableau Server and Desktop, Project Management, Data Analysis Professional ExperienceSenior Analyst Data Quality & Governance,04/2018toCurrentMilliman–Pasadena,CA,Create policies and procedures for actuarial and analytics groupMonitor adherence to policies with scheduled reviewsConduct training on quality and governance policiesLead analyst for HIPAA complianceCreate and analyze validation reports for health plan dataLead discussions regarding data issues identifiedHealthcare Data Analyst,04/2012toCurrentGeneral Motors–Detroit,MI,Experience with process analysis and other analytic functionsAbility to interact effectively with different business ...	Job Description Experience with CC++ programming and HLSL, Cg or other vendor specific shader programming language.Experience with 3D graphics APIs (Direct3D 11+, OpenGL, Vulkan andor vendor specific).Experience optimizing both performance factors and memory footprints using hardware and software profilers (PIX, GCM Replay, Tuner, Vtune, etc.).Experience debugging graphics pipelines using relevant platform tooling (Renderdoc, Pix, Razer, etc.).Experience with multithreaded programming and with large code bases.	0.0
  SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market. HighlightsJavaScript, CSS, Sass, HTML, AJAX, PHP, MySQL, XML, JSON, bashFrameworks/Libraries: AngularJS, Node.js, Gulp.js, jQuery, WordPress, Google MapsSoftware: Adobe Creative Suite, Terminal, Microsoft Office, Adobe AcrobatOperating Systems: Linux, Mac OS X and iOS, Microsoft WindowsOther: Git, responsive web design ExperienceSoftware Engineer,06/2014toCurrentCaterpillar–,,Working as a Web and User Interface developer and got the knowledge of various technologies that are most current in the industry.Hands on experience in ui development process .Such as Analysis, Development and Testing, and associated methodologies • Strong experience with jQuery, AJAX, Dynamic HTML and JSON.Experience with Responsive Web Design, JSON, AJAX, AngularJS, Bac...	NDI Engineering Company is seeking a Junior Electrical Engineer with 1 to 3 years of designing experience on Ship Hull, Mechanical and Electrical (HM&E), Power Plant Systems and controls engineering. Relevant experience related to electrical equipment, power, controls, PLC, electrical design or similar will be strongly considered. Requires experience using AutoCAD, or other drafting programs and SKM Power Tools. Candidate must have a BS Degree in Electrical Engineering from an accredited school. Candidate must be a U.S. Citizen and be able to obtain and maintain a U.S. Department of Defense Security Clearance. Location: Thorofare, NJ. NDI Engineering Company is a privately-held small business consulting firm. NDI provides engineering and technical services to Government clients chartered with responsibility for the defense of our country. NDI offerings include naval architecture, marine, civil, structural, mechanical, and electrical engineering and design services. NDI has a ISO 9001:2...	0.0
  SummaryCapable fund Accountant successful at managing multiple projects and consistently meeting deadlines under pressure. Extensive knowledge of accounting software and processes. Ability to work well with others in a difficult and constantly changing landscape. A true team player. HighlightsAnalytical reasoningAccount reconciliation expertAdobe software proficiencyComplex problem solvingFlexible team playerExtensive Knowledge of IAX funds accounting programEffective time managementStrong organizational skillsGeneral ledger accountingExpert in customer relationsSuperior research skillsAdvanced computer proficiency (PC and Mac) ExperienceSenior Accountant,03/2010-01/2013Aegion Corp–Columbus,OH,Investigated and resolved discrepancies in monthly bank accounts while under tight deadlines. Collaborated extensively with auditors during quarterly as well as year-end audit processes.Was in charge of doing some of the most complex funds not only within my group but across the company as a w...	Position: Junior AccountantDepartment: Finance & AdministrationReports to: ControllerFLSA Status: Exempt JOB SUMMARYThe Junior Accountant will perform accounting duties related to the efficient maintenance and processing of accounts payable transactions. She will review and analyze expense reports, work with vendors to resolve invoices, and reconcile monthly vendor statements. The Junior Accountant will administer the corporate card account activities and reconcile monthly statements. MEASURE(S) OF SUCCESS Accuracy while managing a high volume of invoice and journal entry transactions. Time required to complete assigned tasks for month-end close. Meeting all deadlines for escheatment filings. Resolve outstanding checks by collaborating with the billing team. COMPETENCIESAdaptability - Employee is open to new ideas and ways of doing business and adopts change willingly.Communication - Employee expresses thoughts and ideas in a clear and effective manner. Employee communicates directly a...	1.0

• Loss: CosineSimilarityLoss with these parameters:

  {
      "loss_fct": "torch.nn.modules.loss.MSELoss"
  }
  

Training Hyperparameters

Non-Default Hyperparameters

• per_device_train_batch_size: 16
• per_device_eval_batch_size: 16
• num_train_epochs: 7
• multi_dataset_batch_sampler: round_robin

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: no
• prediction_loss_only: True
• per_device_train_batch_size: 16
• per_device_eval_batch_size: 16
• 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: 5e-05
• weight_decay: 0.0
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1
• num_train_epochs: 7
• max_steps: -1
• lr_scheduler_type: linear
• lr_scheduler_kwargs: {}
• warmup_ratio: 0.0
• 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: False
• 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: False
• 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}
• tp_size: 0
• 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
• 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: batch_sampler
• multi_dataset_batch_sampler: round_robin

Training Logs

Epoch	Step	Training Loss
1.2788	500	0.1263
2.5575	1000	0.0864
3.8363	1500	0.0674
5.1151	2000	0.0566
6.3939	2500	0.0492

Framework Versions

• Python: 3.11.12
• Sentence Transformers: 3.4.1
• Transformers: 4.51.3
• PyTorch: 2.6.0+cu124
• Accelerate: 1.5.2
• Datasets: 3.5.0
• Tokenizers: 0.21.1

Citation

BibTeX

Sentence Transformers

@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",
}