Job-resume-ner-match-model

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 <!-- at revision c9745ed1d9f207416be6d2e6f8de32d1f16199bf -->
• Maximum Sequence Length: 256 tokens
• Output Dimensionality: 384 dimensions
• Similarity Function: Cosine Similarity

<!-- - **Training Dataset:** Unknown --> <!-- - **Language:** Unknown --> <!-- - **License:** Unknown -->

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, 'architecture': '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("hetbhagatji09/Job-resume-ner-match-model")
# Run inference
sentences = [
    'Job Title: Business Development Associate Job Description: At Northspyre, you’ll join the incredible journey of transforming the way modern real estate teams manage complex projects. Leveraging data, automation and artificial intelligence, Northspyre helps facilitate faster, more predictable outcomes on complex real estate projects. In 5 years, our platform has already facilitated more than $125 billion of complex projects across the United States. We are a passionate, collaborative, and diverse team who are eager to roll-up our sleeves and make an impact at a startup that has the confidence and backing of some of the same investors who backed other revolutionary, industry transforming companies like SpaceX, Tesla, and Airbnb. Help us build software that builds the world! About The Opportunity We are rapidly expanding and looking for highly motivated, recent graduates/early career professionals to help us with our business development initiatives. Participants in our BDA internship program will undergo intensive sales training, learn the foundations of the real estate industry, and develop their business skills over the course of this 12-week program. Highly successful interns may be offered a full-time role at the end of the program. As a technology-forward company, we welcome anyone interested in breaking into the real estate technology space and is able to work remotely with our dynamic team. Participants will be compensated for the duration of the program. What’s in it for you? Hands-on experience working in a high-paced software sales environment. Learn the ins and outs of business development for venture backed SaaS companies. Learn new trends in the real estate tech space. Room to grow, the best performers in our program will have an opportunity to continue working with us. Build your foundation for future roles in business development, sales, account management, or business operations! In this role, you’ll get to: Learn about real estate projects and how they are delivered. Help real estate project teams across the country leverage sophisticated technologies like automation and proactive intelligence to solve friction points and problems in their current workflows Research and assist with prospecting potential customers Support our team throughout the entire sales cycle via calls, web-demos and occasionally in-person meetings Accurately manage activities, pipeline and your portfolio of clients within the CRM system Receive mentorship and guidance through the program We are looking for people who have / are: Recent college graduate or early career professional interested in the real estate technology industry (Bachelor’s degree required, GPA 3.2+) Excellent communication skills (written and verbal). High emotional intelligence and are able to read the emotions of others effectively. Results and detail-oriented. Ability to build rapport with clients. Not afraid to make cold calls and speak to unfamiliar people on a daily basis. Strong interpersonal and negotiation skills. Desire and passion to be the best at what you do. Please only apply if you are a high-performer and you are willing to work hard to get the most out of this program. We will be investing time with you to give you the foundational knowledge and training to help you jump start your career. We look for team members that are excited to build the future. You’re the type of person that wants to join us on this challenging journey of transforming the real estate development industry. Benefits And Perks (Full-Time Employees) In addition to a competitive salary, we are offering a meaningful stock option packageComprehensive Medical, Dental, and Vision. Multiple plan options, including a plan option for 100% employer-paid premium for individual coverage for full-time employees.401k Match to help you save for your future (Fully vested after 6 mo eligibility period)Unlimited Vacation, Paid Sick Leave, and major US Holidays$45 monthly stipend towards ClassPass (fitness/spa)Awesome company swag!Free access to Health AdvocateRemote-first work environment -we have an office in NYC, but our teammates are all over the United States and around the worldYou will be part of a small, professional fast-moving team with minimal supervisionAnnual team gatherings Top Three Reasons to Join #1: It’s the Right Time – We’ve already facilitated more than $125 billion of complex projects across the United States #2. Northspyre has the right product – Our technology empowers modern real estate teams to build leveraging data, automation and artificial intelligence to get to faster, more predictable outcomes on complex projects. #3. Northspyre celebrates a culture of creativity – We strive to have a sense of community within Northspyre that encourages diverse viewpoints, openness, and fostering an environment in which employees feel comfortable bringing their whole authentic selves to work. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.',
    'As a Business Development Associate at a startup specializing in commercial real estate, I gained hands-on experience in software sales and developed a strong foundation in business development for venture-backed SaaS companies. I worked closely with senior sales leaders to identify and pursue new business opportunities, and consistently met or exceeded quarterly sales targets. My time in this role also allowed me to build a comprehensive understanding of the commercial real estate industry, including market trends and best practices. I possess excellent communication and interpersonal skills, with the ability to build rapport with clients and effectively negotiate sales agreements. Proficiency in CRM software, data analysis, and project management tools, such as Salesforce, Google Analytics, and Asana, enables me to accurately manage activities, pipeline, and client portfolios. Additionally, I have a strong understanding of sales methodologies, including the Challenger model and the AIDA framework. One notable project I spearheaded was the implementation of a sales strategy for a residential real estate developer, resulting in a 25% increase in sales conversions within a six-month period. I also assisted in the development of a sales enablement program for a commercial real estate broker, which led to a 30% increase in deal closings within the same timeframe. I hold a Certified Real Estate Associate (CREA) designation from the National Association of Realtors, demonstrating my commitment to staying up-to-date on industry trends and best practices. I am also a Certified Sales Professional (CSP) through the National Association of Sales Professionals, showcasing my expertise in sales and customer engagement. I hold a Bachelor of Science degree in Business Administration with a concentration in Marketing from the University of Southern California (USC), graduating in the top 10% of my class with a cumulative GPA of 3.6.',
    "As a seasoned Cardiac Catheterization Technician, I bring a strong background in providing high-quality patient care and expertise in operating radiological equipment. With over 3 years of experience in the Cardiac Catheterization Laboratory, I have honed my skills in assisting with diagnostic procedures, monitoring patient conditions, and maintaining equipment. My current role as a senior technician has allowed me to develop leadership skills and mentor junior team members. My technical skills include: CRT, Fluoroscopy, RCIS certification, and proficiency in various software programs used for patient data management and radiological equipment operation. Additionally, I possess excellent communication skills, ensuring seamless collaboration with healthcare professionals and patients. My expertise in patient safety, quality improvement initiatives, and emergency response protocols has been a valuable asset to the Cardiac Catheterization team. Notable projects include: Leading a team to implement a new fluoroscopy protocol, resulting in a 20% reduction in radiation exposure for patients, and collaborating with the Assistant Director to develop a comprehensive equipment maintenance program, ensuring 99% uptime for critical radiological equipment. These projects have significantly enhanced the Cardiac Catheterization Laboratory's efficiency and safety standards. Certifications include: RCIS (Registered Cardiovascular Invasive Specialist) from the Cardiovascular Credentialing International (CCI) organization, demonstrating my expertise in cardiovascular invasive procedures. I am also certified in Basic Life Support (BLS) for healthcare professionals. I hold a degree in Cardiovascular Technology (CVT) from the Commission on Accreditation of Allied Health Education Programs (CAAHEP) accredited program at the University of Texas Health Science Center, where I completed a 2-year training program in radiologic technology and cardiovascular invasive procedures.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[ 1.0000,  0.7013, -0.0963],
#         [ 0.7013,  1.0000, -0.0725],
#         [-0.0963, -0.0725,  1.0000]])

<!-- ### 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.* --> <!-- ## 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: 411 training samples
• Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>sentence_2</code>
• Approximate statistics based on the first 411 samples:

  	sentence_0	sentence_1	sentence_2
  type	string	string	string
  details	<ul><li>min: 16 tokens</li><li>mean: 237.57 tokens</li><li>max: 256 tokens</li></ul>	<ul><li>min: 184 tokens</li><li>mean: 253.85 tokens</li><li>max: 256 tokens</li></ul>	<ul><li>min: 176 tokens</li><li>mean: 252.53 tokens</li><li>max: 256 tokens</li></ul>

• Samples:

  sentence_0	sentence_1	sentence_2
  <code>Job Title: Azure DevOps Engineer Job Description: Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management and High-Tech Engineering. Sogeti offers cutting-edge solutions around Testing, Business Intelligence, Mobility, Cloud and Security, combining world class methodologies and the global delivery model, Rightshore®. Sogeti brings together more than 20,000 professionals in 15 countries and is present in over 100 locations in Europe, the US and India. Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange.At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations. We offer an environment that celebrates innovation and helps you to achieve a good balance b...</code>	<code>I've generated a synthetic candidate profile based on the job posting. As a seasoned Azure DevOps Engineer with 5 years of experience in delivering cloud-based solutions, I have a proven track record of successfully deploying Infrastructure and Application builds using YAML Pipeline as Code, PowerShell scripting, and Infrastructure automation. My expertise in Infrastructure as Code (IaC) using Azure ARM Template, Terraform, and other tools has enabled me to rapidly provision and manage cloud resources. Additionally, I have hands-on experience with Azure PaaS services, GitHub, and cloud monitoring tools such as Azure Monitor and DataDog. Skills My technical skills include expertise in Azure DevOps, YAML Pipeline as Code, PowerShell scripting, Infrastructure automation, Azure ARM Template, Terraform, Azure PaaS services, GitHub, Azure Monitor, and DataDog. I possess strong problem-solving skills, excellent communication skills, and the ability to work effectively in a team environment. M...</code>	<code>Senior Paralegal for 5 years, I served as a key member of the litigation support team for a large law firm in Phoenix, Arizona, providing expert administrative support to multiple trial attorneys on complex real estate cases. My duties included managing calendars, preparing trial materials, and conducting extensive research on state and federal procedural rules. I effectively coordinated with court personnel, opposing counsel, and clients to ensure timely and efficient case resolution. I possess strong organizational skills, excellent attention to detail, and proficiency in MS Office Software, including Adobe, and experience with e-filing systems. I am also skilled in MS Outlook, calendar management, and court reporting software. My technical skills include knowledge of state and federal procedural rules, as well as experience with document management systems and online research tools. As a key contributor to the development of our firm's first electronic discovery protocol, I played a...</code>
  <code>Job Title: Visual Designer Job Description: Job Description:We are seeking a talented Visual Designer to join our remote team. The ideal candidate will have a passion for creating "really pretty" and beautiful visuals. You should have experience with design systems, although it's not the primary focus for this role as you'll be creating new concepts that may not fit into a design system initially. However, familiarity with design systems will be valuable for long-term projects. Key Responsibilities:Create visually stunning designs for mobile and web platforms.Incorporate typography effectively into designs.Work on concept development and ideation for projects.Collaborate with cross-functional teams to ensure design coherence.Stay updated with industry trends and best practices in visual design. Key Requirements:Proven experience in visual design, preferably in an agency setting.Familiarity with big tech or telecom brands is a plus.Strong portfolio showcasing beautiful visuals and conce...</code>	<code>Senior Visual Designer Experience I led a team of visual designers at a digital agency, creating visually stunning campaigns for top tech brands, including a major telecom company. My work involved concept development, typography, and collaboration with cross-functional teams to ensure design coherence. I successfully managed design systems and implemented design principles to maintain brand consistency across multiple projects. Skills I possess expertise in design tools such as Adobe Creative Suite, Figma, and Sketch, with a strong proficiency in Photoshop, Illustrator, and InDesign. My excellent communication and collaboration skills enable seamless teamwork with designers, developers, and clients. I stay updated with industry trends and best practices in visual design through regular attendance at design conferences and workshops. Projects One notable project was the redesign of a leading e-commerce website, where I led the visual design effort and developed a responsive design syst...</code>	<code>As a produce sales associate for local grocery stores, I have honed my skills in product knowledge, customer service, and inventory management. In my previous role at Green Earth Farms Market, I assisted customers with selecting fresh produce, performed daily stocking and culling procedures, and adhered to strict quality control standards. I also contributed to employee training and development initiatives, helping to ensure seamless operations throughout the produce department. Effective communication, customer service, and selling skills; Time management and organization; Inventory management and control; Adaptability and flexibility; Basic math skills and accuracy; Ability to lift up to 50 pounds frequently, reaching and bending as needed; Proficiency in Microsoft Office Suite, specifically Excel and Word; Basic knowledge of produce handling and storage; Strong team collaboration and interpersonal skills. In my previous role at Green Earth Farms Market, I managed the local produce d...</code>
  <code>Job Title: Field Service Engineer Job Description: Position Overview: The Field Service Engineer will be responsible for providing efficient and effective technical assistance to customers in the field. This includes diagnosing and repairing electro-mechanical systems, troubleshooting PLC and Allen Bradley systems, and providing remote and on-site support as needed. Key Responsibilities Troubleshoot and diagnose electro-mechanical systems.Repair, maintain, and upgrade mechanical and electrical systems.Troubleshoot PLC and Allen Bradley systems.Provide remote and on-site support.Travel to customer locations as needed. Qualifications Experience Troubleshooting PLCs and Allen Bradley systems.Willingness to travel for customer visits.Strong interpersonal, communication, and problem-solving skills.Experience with Mechanical, Electrical, Pneumatic and Hydraulic Systems Benefits Health, Dental, Vision 401K + Match PTO Email Your Resume In Word To Looking forward to receiving your resume throu...</code>	<code>Field Service Engineer seeking to leverage technical expertise and strong interpersonal skills to provide efficient and effective technical assistance to customers in the field. In my previous role as a Maintenance Technician at Atlas Automation, I successfully diagnosed and repaired electro-mechanical systems, including PLC and Allen Bradley systems. I also provided remote and on-site support to customers, resulting in improved system uptime and customer satisfaction. With over 5 years of experience in the field, I am well-equipped to provide top-notch technical support and service to clients. Troubleshooting PLCs and Allen Bradley systems, Strong interpersonal, communication, and problem-solving skills, Experience with Mechanical, Electrical, Pneumatic and Hydraulic Systems, Familiarity with remote support tools such as TeamViewer and LogMeIn, Proficient in MS Office and Google Workspace, Strong technical documentation skills, Knowledge of safety protocols and procedures. In my previ...</code>	<code>As a seasoned tax professional, I have a strong background in managing complex tax engagements and providing strategic guidance to corporate clients. With over 7 years of public tax experience, I have honed my skills in tax planning, compliance, and audit management. My experience has also equipped me with exceptional leadership skills, having led high-performing teams and managed client relationships. I possess strong technical skills in tax planning, compliance, and financial analysis, as well as proficiency in tax software such as Atlassian's Confluence, Excel, and QuickBooks. Additionally, I have excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present complex tax concepts to non-technical stakeholders. During my tenure as a Senior Tax Manager at KPMG, I led a cross-functional team in implementing a comprehensive tax strategy for a multinational corporation, resulting in a 30% reduction in tax liability. I...</code>

• Loss: <code>MultipleNegativesRankingLoss</code> with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "gather_across_devices": false
  }
  

Training Hyperparameters

Non-Default Hyperparameters

• per_device_train_batch_size: 16
• per_device_eval_batch_size: 16
• num_train_epochs: 4
• multi_dataset_batch_sampler: round_robin

All Hyperparameters

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

• 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: 4
• 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
• 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}
• 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}
• parallelism_config: None
• deepspeed: None
• label_smoothing_factor: 0.0
• optim: adamw_torch_fused
• optim_args: None
• adafactor: False
• group_by_length: False
• length_column_name: length
• project: huggingface
• trackio_space_id: trackio
• 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
• hub_revision: None
• 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: no
• neftune_noise_alpha: None
• optim_target_modules: None
• batch_eval_metrics: False
• eval_on_start: False
• use_liger_kernel: False
• liger_kernel_config: None
• eval_use_gather_object: False
• average_tokens_across_devices: True
• prompts: None
• batch_sampler: batch_sampler
• multi_dataset_batch_sampler: round_robin
• router_mapping: {}
• learning_rate_mapping: {}

</details>

Framework Versions

• Python: 3.12.12
• Sentence Transformers: 5.1.2
• Transformers: 4.57.1
• PyTorch: 2.8.0+cu126
• Accelerate: 1.11.0
• Datasets: 4.0.0
• Tokenizers: 0.22.1

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",
}

MultipleNegativesRankingLoss

@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

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