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already satisfied: sentence-transformers in /usr/local/lib/python3.11/dist-packages (4.1.0)\n","Requirement already satisfied: transformers<5.0.0,>=4.41.0 in /usr/local/lib/python3.11/dist-packages (from sentence-transformers) (4.53.1)\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.11/dist-packages (from sentence-transformers) (4.67.1)\n","Requirement already satisfied: torch>=1.11.0 in /usr/local/lib/python3.11/dist-packages (from sentence-transformers) (2.6.0+cu124)\n","Requirement already satisfied: scikit-learn in /usr/local/lib/python3.11/dist-packages (from sentence-transformers) (1.6.1)\n","Requirement already satisfied: scipy in /usr/local/lib/python3.11/dist-packages (from sentence-transformers) (1.15.3)\n","Requirement already satisfied: huggingface-hub>=0.20.0 in /usr/local/lib/python3.11/dist-packages (from sentence-transformers) (0.33.2)\n","Requirement already satisfied: Pillow in /usr/local/lib/python3.11/dist-packages (from sentence-transformers) (11.2.1)\n","Requirement already satisfied: typing_extensions>=4.5.0 in /usr/local/lib/python3.11/dist-packages (from sentence-transformers) (4.14.1)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) (3.18.0)\n","Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) (2025.3.2)\n","Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) (24.2)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) (6.0.2)\n","Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) (2.32.3)\n","Requirement already satisfied: hf-xet<2.0.0,>=1.1.2 in 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['Data Entry Operator', 'Sales Analyst', 'SEO Manager']}},\n","    {'set': {'query': 'Machine Learning Engineer', 'pos': ['Deep Learning Engineer', 'AI Engineer'], 'neg': ['Network Engineer', 'Data Entry Specialist', 'Support Engineer']}},\n","    {'set': {'query': 'Product Manager', 'pos': ['Technical Product Manager', 'Digital Product Owner'], 'neg': ['Project Manager', 'Marketing Manager', 'Operations Manager']}},\n","    {'set': {'query': 'Database Administrator', 'pos': ['DBA', 'Database Engineer'], 'neg': ['Business Analyst', 'Financial Analyst', 'Server Administrator']}},\n","    {'set': {'query': 'Frontend Developer', 'pos': ['React Developer', 'Angular Developer', 'Web Developer'], 'neg': ['UI/UX Designer', 'Graphic Designer', 'Frontend Sales Executive']}},\n","    {'set': {'query': 'Backend Developer', 'pos': ['Node.js Developer', 'Java Developer', 'Python Developer'], 'neg': ['Back Office Executive', 'HR Associate', 'Data Entry Clerk']}},\n","    {'set': {'query': 'DevOps Engineer', 'pos': ['Site Reliability Engineer', 'Cloud Infrastructure Engineer'], 'neg': ['Software QA Tester', 'Product Owner', 'UX Designer']}},\n","    {'set': {'query': 'Software Developer','pos': ['Backend Developer', 'Full Stack Engineer'],'neg': ['Software Sales Executive', 'Software Trainer', 'Content Developer']}},\n","    {'set': {'query': 'Cloud Engineer', 'pos': ['AWS Engineer', 'Azure Cloud Developer', 'Cloud Architect'], 'neg': ['Mechanical Engineer', 'Office Administrator', 'Electrical Technician']}},\n","    {'set': {'query': 'Software Tester', 'pos': ['QA Engineer', 'Test Automation Engineer'], 'neg': ['Software Developer', 'Customer Support Specialist', 'Business Analyst']}},\n","    {'set': {'query': 'Project Manager', 'pos': ['Scrum Master', 'Technical Project Manager'], 'neg': ['Product Manager', 'Sales Manager', 'Account Manager']}},\n","    {'set': {'query': 'UX Designer', 'pos': ['User Experience Designer', 'Interaction Designer'], 'neg': ['Graphic Designer', 'UI Developer', 'Web Analyst']}},\n","    {'set': {'query': 'UI Developer', 'pos': ['Frontend Developer', 'React Developer'], 'neg': ['UI/UX Designer', 'Creative Director', 'Product Analyst']}},\n","\n","\n","\n","\n","    {'set': {'query': 'Security Analyst', 'pos': ['Cybersecurity Analyst', 'Information Security Analyst'], 'neg': ['Financial Analyst', 'Legal Analyst', 'Insurance Claims Analyst']}},\n","    {'set': {'query': 'Android Developer', 'pos': ['Mobile App Developer', 'Kotlin Developer'], 'neg': ['iOS Developer', 'App Store Optimizer', 'IT Recruiter']}},\n","    {'set': {'query': 'iOS Developer', 'pos': ['Swift Developer', 'iPhone App Developer'], 'neg': ['Android Developer', 'System Admin', 'Sales Analyst']}},\n","\n","    {'set': {'query': 'Software Architect', 'pos': ['Solution Architect', 'Cloud Architect'], 'neg': ['Enterprise Architect (non-IT)', 'Interior Architect', 'Civil Engineer']}},\n","    {'set': {'query': 'Python Developer', 'pos': ['Django Developer', 'Flask Developer'], 'neg': ['Python Trainer', 'HR Executive', 'QA Analyst']}},\n","    {'set': {'query': 'Java Developer', 'pos': ['Spring Boot Developer', 'Backend Java Engineer'], 'neg': ['Javascript Developer', 'Product Analyst', 'Call Center Agent']}},\n","    {'set': {'query': 'Full Stack Developer', 'pos': ['MERN Stack Developer', 'MEAN Stack Developer'], 'neg': ['Frontend Developer', 'QA Tester', 'Data Entry Clerk']}},\n","    {'set': {'query': 'System Administrator', 'pos': ['IT Administrator', 'Network Administrator'], 'neg': ['Office Admin', 'Finance Manager', 'Receptionist']}},\n","\n","    {'set': {'query': 'Business Analyst', 'pos': ['IT Business Analyst', 'Requirements Analyst'], 'neg': ['Financial Analyst', 'Market Research Analyst', 'Business Development Executive']}},\n","    {'set': {'query': 'IT Support Specialist', 'pos': ['Technical Support Engineer', 'Help Desk Technician'], 'neg': ['Customer Care Executive', 'Field Sales Agent', 'Back Office Clerk']}},\n","    {'set': {'query': 'QA Automation Engineer', 'pos': ['Test Automation Engineer', 'SDET'], 'neg': ['Manual Tester', 'DevOps Engineer', 'Business Consultant']}},\n","    {'set': {'query': 'Scrum Master', 'pos': ['Agile Coach', 'Project Facilitator'], 'neg': ['Product Owner', 'Scrum Rugby Coach', 'Account Manager']}},\n","    {'set': {'query': 'React Developer', 'pos': ['Frontend React Developer', 'JavaScript Developer'], 'neg': ['React Native Developer', 'Graphic Designer', 'SEO Executive']}},\n","\n","    {'set': {'query': 'Network Engineer', 'pos': ['Network Security Engineer', 'LAN/WAN Engineer'], 'neg': ['Software Developer', 'Social Media Manager', 'Marketing Strategist']}},\n","    {'set': {'query': 'Power BI Developer', 'pos': ['BI Developer', 'Data Visualization Engineer'], 'neg': ['Business Analyst', 'Excel Specialist', 'HR Assistant']}},\n","    {'set': {'query': 'Solution Architect', 'pos': ['Technical Architect', 'Enterprise Architect (IT)'], 'neg': ['Architect (Buildings)', 'UI Architect', 'Civil Engineer']}},\n","    {'set': {'query': 'Cybersecurity Engineer', 'pos': ['Security Operations Analyst', 'Penetration Tester'], 'neg': ['IT Support Executive', 'Risk Analyst', 'Call Center Supervisor']}},\n","    {'set': {'query': 'Data Analyst', 'pos': ['Business Intelligence Analyst', 'Reporting Analyst'], 'neg': ['Marketing Analyst', 'Sales Executive', 'Telecaller']}},\n","\n","    {'set': {'query': 'ETL Developer', 'pos': ['Data Pipeline Engineer', 'Informatica Developer'], 'neg': ['Frontend Developer', 'Software Tester', 'HR Recruiter']}},\n","    {'set': {'query': 'BI Analyst', 'pos': ['Business Intelligence Developer', 'Power BI Analyst'], 'neg': ['Business Analyst', 'Content Writer', 'Financial Auditor']}},\n","    {'set': {'query': 'Technical Writer', 'pos': ['Documentation Specialist', 'API Writer'], 'neg': ['Content Writer', 'Copywriter', 'Marketing Executive']}},\n","    {'set': {'query': 'Technical Support Engineer', 'pos': ['L2 Support Engineer', 'IT Helpdesk'], 'neg': ['Customer Service Rep', 'Product Manager', 'Sales Engineer']}},\n","    {'set': {'query': 'NLP Engineer', 'pos': ['Language Model Engineer', 'Speech Recognition Developer'], 'neg': ['Linguist', 'Copywriter', 'Voice Over Artist']}},\n","\n","    {'set': {'query': 'Big Data Engineer', 'pos': ['Hadoop Developer', 'Spark Engineer'], 'neg': ['Database Developer', 'Web Developer', 'Excel Expert']}},\n","    {'set': {'query': 'RPA Developer', 'pos': ['Automation Anywhere Developer', 'UiPath Developer'], 'neg': ['Python Developer', 'Manual Tester', 'Recruiter']}},\n","    {'set': {'query': 'AI Research Scientist', 'pos': ['Deep Learning Researcher', 'ML Researcher'], 'neg': ['AI Sales Consultant', 'Academic Researcher', 'Technical Writer']}},\n","    {'set': {'query': 'Game Developer', 'pos': ['Unity Developer', 'Unreal Engine Developer'], 'neg': ['Game Tester', 'Graphics Designer', 'Mobile Marketer']}},\n","    {'set': {'query': 'Blockchain Developer', 'pos': ['Smart Contract Developer', 'Ethereum Engineer'], 'neg': ['Finance Analyst', 'Backend Developer', 'Crypto Trader']}},\n","\n","    {'set': {'query': 'Embedded Systems Engineer', 'pos': ['Firmware Developer', 'IoT Engineer'], 'neg': ['System Admin', 'PLC Technician', 'Data Scientist']}},\n","    {'set': {'query': 'Cloud Solutions Architect', 'pos': ['AWS Architect', 'Azure Architect'], 'neg': ['Infrastructure Manager', 'Software Developer', 'Facility Architect']}},\n","    {'set': {'query': 'Penetration Tester', 'pos': ['Ethical Hacker', 'Security Auditor'], 'neg': ['Cybersecurity Trainer', 'Risk Manager', 'HR Executive']}},\n","    {'set': {'query': 'IT Auditor', 'pos': ['Information Systems Auditor', 'Technology Risk Analyst'], 'neg': ['Finance Auditor', 'Project Auditor', 'Legal Compliance Officer']}},\n","    {'set': {'query': 'Automation Test Engineer', 'pos': ['SDET', 'Selenium Tester'], 'neg': ['DevOps Engineer', 'BA', 'UX Designer']}},\n","    {'set': {'query': 'Sales Manager','pos': ['Regional Sales Manager', 'Retail Sales Head'],'neg': ['HR Manager', 'Product Manager', 'Account Manager']}},\n","    {'set': {'query': 'Network Engineer','pos': ['LAN Engineer', 'Infrastructure Engineer'],'neg': ['Software Engineer', 'System Engineer', 'Support Engineer']}},\n","    {'set': {'query': 'Data Engineer','pos': ['ETL Developer', 'Big Data Engineer'],'neg': ['Data Analyst', 'Data Entry Operator', 'Financial Data Clerk']}},\n","    {'set': {'query': 'Product Manager','pos': ['Technical Product Manager', 'Digital Product Owner'],'neg': ['Project Manager', 'Program Manager', 'Sales Manager']}},\n","    {'set': {'query': 'QA Engineer','pos': ['Software Tester', 'SDET'],'neg': ['Quality Assurance Analyst (Manufacturing)', 'QA Supervisor', 'Technical Writer']}},\n","\n","    {'set': {'query': 'Database Developer','pos': ['SQL Developer', 'Data Warehouse Developer'],'neg': ['Database Administrator', 'Excel Specialist', 'System Engineer']}},\n","    {'set': {'query': 'Backend Developer', 'pos': ['Java Backend Engineer', 'Node.js Developer'], 'neg': ['Frontend Developer', 'Network Developer', 'DevOps Engineer']}},\n","    {'set': {'query': 'Systems Engineer', 'pos': ['Infrastructure Engineer', 'IT Systems Engineer'], 'neg': ['Software Engineer', 'Mechanical Systems Engineer', 'Field Engineer']}},\n","    {'set': {'query': 'Automation Tester', 'pos': ['Selenium Tester', 'QA Automation Engineer'], 'neg': ['Automation Engineer (PLC)', 'Hardware Tester', 'Python Developer']}},\n","    {'set': {'query': 'Cloud Engineer', 'pos': ['AWS Engineer', 'Azure DevOps Engineer'], 'neg': ['Cloud Sales Engineer', 'Cloud Content Writer', 'Web Engineer']}},\n","    {'set': {'query': 'IT Support Specialist', 'pos': ['Help Desk Analyst', 'Technical Support Engineer'], 'neg': ['IT Business Analyst', 'IT Manager', 'Security Specialist']}},\n","    {'set': {'query': 'Business Intelligence Analyst', 'pos': ['Power BI Developer', 'Data Analyst'], 'neg': ['Business Analyst', 'Financial Analyst', 'Intelligence Officer']}},\n","    {'set': {'query': 'Data Architect', 'pos': ['Cloud Data Architect', 'Big Data Architect'], 'neg': ['Software Architect', 'Cloud Architect', 'Business Architect']}},\n","    {'set': {'query': 'UI Designer', 'pos': ['User Interface Designer', 'Visual Designer'], 'neg': ['Frontend Developer', 'UX Designer', 'Graphic Designer']}},\n","    {'set': {'query': 'Penetration Tester', 'pos': ['Ethical Hacker', 'Security Tester'], 'neg': ['Software Tester', 'Load Tester', 'Network Technician']}},\n","    {'set': {'query': 'Release Manager', 'pos': ['Deployment Manager', 'DevOps Release Coordinator'], 'neg': ['Product Manager', 'Project Manager', 'Marketing Manager']}},\n","    {'set': {'query': 'Information Security Officer', 'pos': ['Cybersecurity Lead', 'Security Governance Officer'], 'neg': ['Chief Information Officer', 'Data Privacy Officer', 'Compliance Officer']}},\n","    {'set': {'query': 'Software Architect', 'pos': ['Technical Architect', 'Solution Architect'], 'neg': ['Cloud Architect', 'Enterprise Architect', 'Interior Architect']}},\n","    {'set': {'query': 'Embedded Systems Engineer', 'pos': ['Firmware Developer', 'IoT Engineer'], 'neg': ['System Administrator', 'Software Engineer', 'QA Engineer']}},\n","    {'set': {'query': 'AI Research Scientist', 'pos': ['NLP Scientist', 'ML Researcher'], 'neg': ['Data Scientist', 'AI Product Manager', 'AI Consultant']}},\n","    {'set': {'query': 'Product Analyst', 'pos': ['Market Analyst', 'Product Data Analyst'], 'neg': ['Product Manager', 'Product Engineer', 'Business Analyst']}},\n","    {'set': {'query': 'Cybersecurity Engineer', 'pos': ['SOC Engineer', 'Security Analyst'], 'neg': ['Software Engineer', 'DevOps Engineer', 'AI Engineer']}},\n","    {'set': {'query': 'QA Analyst', 'pos': ['Manual Tester', 'Test Case Designer'], 'neg': ['Quality Analyst (Manufacturing)', 'QA Trainer', 'Support Analyst']}},\n","    {'set': {'query': 'DevOps Architect', 'pos': ['CI/CD Architect', 'Cloud DevOps Lead'], 'neg': ['Software Architect', 'Cloud Architect', 'Enterprise Architect']}},\n","    {'set': {'query': 'CRM Developer', 'pos': ['Salesforce Developer', 'MS Dynamics Developer'], 'neg': ['CRM Manager', 'Customer Support Engineer', 'Product Developer']}},\n","    {'set': {'query': 'ETL Developer', 'pos': ['Data Pipeline Engineer', 'Informatica Developer'], 'neg': ['Data Analyst', 'Backend Developer', 'BI Consultant']}},\n","    {'set': {'query': 'Game Developer', 'pos': ['Unity Developer', 'Unreal Engine Programmer'], 'neg': ['Frontend Developer', 'UI/UX Designer', 'QA Tester']}},\n","    {'set': {'query': 'iOS Developer', 'pos': ['Swift Developer', 'Mobile App Developer'], 'neg': ['Android Developer', 'UI Designer', 'Web Developer']}},\n","    {'set': {'query': 'Power BI Developer', 'pos': ['BI Analyst', 'Tableau Developer'], 'neg': ['Power Systems Engineer', 'Business Manager', 'Data Scientist']}},\n","    {'set': {'query': 'Security Engineer', 'pos': ['Application Security Engineer', 'Network Security Engineer'], 'neg': ['Network Engineer', 'Cloud Engineer', 'Support Engineer']}},\n","    {'set': {'query': 'Infrastructure Manager', 'pos': ['IT Infrastructure Lead', 'Cloud Infrastructure Head'], 'neg': ['Operations Manager', 'Project Manager', 'Facilities Manager']}},\n","    {'set': {'query': 'Network Security Analyst', 'pos': ['Firewall Analyst', 'Security Operations Analyst'], 'neg': ['Network Analyst', 'Systems Analyst', 'Business Analyst']}},\n","    {'set': {'query': 'AI Consultant', 'pos': ['ML Consultant', 'Data Science Consultant'], 'neg': ['Business Consultant', 'HR Consultant', 'Strategy Consultant']}},\n","    {'set': {'query': 'Desktop Support Engineer', 'pos': ['IT Help Desk', 'End User Support'], 'neg': ['Cloud Support Engineer', 'Application Support', 'DevOps Support']}},\n","    {'set': {'query': 'Scrum Master', 'pos': ['Agile Coach', 'Scrum Lead'], 'neg': ['Project Manager', 'Product Manager', 'Business Analyst']}},\n","    {'set': {'query': 'Analytics Engineer', 'pos': ['Data Modeler', 'Data Engineer'], 'neg': ['Data Analyst', 'Machine Learning Engineer', 'QA Engineer']}},\n","    {'set': {'query': 'Technical Program Manager', 'pos': ['TPM', 'Agile Program Manager'], 'neg': ['Technical Project Manager', 'Program Analyst', 'Product Manager']}},\n","    {'set': {'query': 'API Developer', 'pos': ['REST API Engineer', 'GraphQL Developer'], 'neg': ['UI Developer', 'QA Tester', 'Integration Tester']}},\n","    {'set': {'query': 'UX Researcher', 'pos': ['User Researcher', 'Human-Centered Design Researcher'], 'neg': ['UX Designer', 'UI Developer', 'Market Researcher']}},\n","    {'set': {'query': 'Mobile QA Tester', 'pos': ['App QA Engineer', 'Android/iOS Tester'], 'neg': ['Web Tester', 'Game QA Tester', 'Customer QA Manager']}},\n","    {'set': {'query': 'Digital Analyst', 'pos': ['Web Analytics Specialist', 'Marketing Data Analyst'], 'neg': ['Business Analyst', 'Financial Analyst', 'IT Analyst']}},\n","    {'set': {'query': 'Blockchain Developer', 'pos': ['Solidity Developer', 'Web3 Engineer'], 'neg': ['Backend Developer', 'Cybersecurity Analyst', 'Network Engineer']}},\n","    {'set': {'query': 'Tech Support Engineer', 'pos': ['IT Support Engineer', 'Technical Support Analyst'], 'neg': ['Software Developer', 'Business Support Analyst', 'Admin Assistant']}},\n","    {'set': {'query': 'BI Developer', 'pos': ['Power BI Developer', 'SSRS Developer'], 'neg': ['Data Analyst', 'ETL Developer', 'Database Admin']}},\n","    {'set': {'query': 'Linux Administrator', 'pos': ['Unix Admin', 'Linux System Admin'], 'neg': ['Windows Administrator', 'Database Administrator', 'DevOps Engineer']}},\n","    {'set': {'query': 'Cloud Consultant', 'pos': ['AWS Consultant', 'Azure Cloud Strategist'], 'neg': ['IT Consultant', 'Business Consultant', 'Security Consultant']}},\n","    {'set': {'query': 'Digital Product Manager', 'pos': ['E-Commerce Product Manager', 'Mobile Product Manager'], 'neg': ['Project Manager', 'Digital Marketer', 'Product Owner']}},\n","    {'set': {'query': 'Site Reliability Engineer', 'pos': ['SRE', 'DevOps SRE'], 'neg': ['Software Engineer', 'QA Engineer', 'Support Engineer']}},\n","    {'set': {'query': 'Application Analyst', 'pos': ['App Support Analyst', 'Software Analyst'], 'neg': ['Business Analyst', 'Systems Analyst', 'Security Analyst']}},\n","    {'set': {'query': 'Configuration Manager', 'pos': ['Release & Configuration Manager', 'Change Manager'], 'neg': ['Project Manager', 'Build Engineer', 'DevOps Engineer']}},\n","    {'set': {'query': 'Technical Account Manager', 'pos': ['TAM', 'Customer Success Engineer'], 'neg': ['Sales Manager', 'Accountant', 'Channel Manager']}},\n","    {'set': {'query': 'Data Scientist', 'pos': ['ML Engineer', 'NLP Scientist'], 'neg': ['Business Analyst', 'Data Entry Clerk', 'BI Developer']}},\n","    {'set': {'query': 'Web Designer', 'pos': ['UI Designer', 'Graphic Designer'], 'neg': ['Web Developer', 'Frontend Developer', 'Full Stack Developer']}},\n","    {'set': {'query': 'IT Project Manager', 'pos': ['Agile Project Manager', 'Technical PM'], 'neg': ['Product Manager', 'Scrum Master', 'Business Analyst']}},\n","    {'set': {'query': 'Java Developer', 'pos': ['Spring Boot Developer', 'J2EE Engineer'], 'neg': ['JavaScript Developer', 'Node.js Developer', 'SQL Developer']}},\n","    {'set': {'query': 'Cloud Support Engineer', 'pos': ['AWS Support Engineer', 'Azure L2 Support'], 'neg': ['Desktop Support', 'Customer Support Executive', 'Application Tester']}},\n","    {'set': {'query': 'Business Analyst', 'pos': ['IT Business Analyst', 'Requirements Analyst'], 'neg': ['Financial Analyst', 'Strategy Analyst', 'Market Analyst']}},\n","    {'set': {'query': 'System Analyst', 'pos': ['IT Systems Analyst', 'Business Systems Analyst'], 'neg': ['Data Analyst', 'IT Support Analyst', 'CRM Analyst']}},\n","    {'set': {'query': 'Application Support Engineer', 'pos': ['L2 Support Engineer', 'Technical Support Engineer'], 'neg': ['Software Engineer', 'Customer Support Executive', 'Product Owner']}},\n","    {'set': {'query': 'Web Developer', 'pos': ['Frontend Developer', 'Full Stack Developer'], 'neg': ['Web Designer', 'Graphic Designer', 'Digital Marketer']}},\n","    {'set': {'query': 'DevOps Engineer', 'pos': ['CI/CD Engineer', 'Site Reliability Engineer'], 'neg': ['Software Engineer', 'Product Engineer', 'Technical Writer']}},\n","    {'set': {'query': 'Cloud Architect', 'pos': ['AWS Architect', 'Azure Solutions Architect'], 'neg': ['Software Architect', 'Building Architect', 'Infrastructure Lead']}},\n","    {'set': {'query': 'Security Analyst', 'pos': ['Cybersecurity Analyst', 'SOC Analyst'], 'neg': ['Legal Analyst', 'Financial Analyst', 'HR Analyst']}},\n","    {'set': {'query': 'Android Developer', 'pos': ['Mobile App Developer', 'Kotlin Developer'], 'neg': ['iOS Developer', 'UI Designer', 'Web Developer']}},\n","    {'set': {'query': 'Technical Writer', 'pos': ['API Documentation Specialist', 'Product Documentation Writer'], 'neg': ['Content Writer', 'Copywriter', 'Marketing Executive']}},\n","    {'set': {'query': 'Network Administrator', 'pos': ['System Administrator', 'Infrastructure Admin'], 'neg': ['Database Administrator', 'Office Administrator', 'Account Administrator']}},\n","    {'set': {'query': 'UX Designer', 'pos': ['User Experience Researcher', 'Interaction Designer'], 'neg': ['UI Developer', 'Graphic Designer', 'Product Designer']}},\n","    {'set': {'query': 'Software Engineer', 'pos': ['Java Developer', 'Backend Engineer'], 'neg': ['Systems Engineer (Electrical)', 'Field Engineer', 'Solutions Consultant']}},\n","    {'set': {'query': 'Machine Learning Engineer', 'pos': ['Deep Learning Engineer', 'AI Engineer'], 'neg': ['Mechanical Engineer', 'Support Engineer', 'Control Systems Engineer']}},\n","    {'set': {'query': 'Application Developer', 'pos': ['Web App Developer', 'Mobile App Developer'], 'neg': ['Application Support Analyst', 'Product Application Engineer', 'Field Application Engineer']}},\n","    {'set': {'query': 'Digital Marketing Manager', 'pos': ['SEO Manager', 'Content Marketing Head'], 'neg': ['Marketing Product Manager', 'Marketing Strategy Consultant', 'Sales Manager']}},\n","    {'set': {'query': 'Python Developer', 'pos': ['Django Developer', 'Flask Backend Developer'], 'neg': ['Python Trainer', 'Python Content Creator', 'Automation Tester']}},\n","    {'set': {'query': 'Technical Recruiter', 'pos': ['IT Recruiter', 'Talent Acquisition - Tech Roles'], 'neg': ['HR Generalist', 'Onboarding Manager', 'Training Specialist']}},\n","    {'set': {'query': 'SEO Specialist', 'pos': ['Search Engine Optimizer', 'Digital Marketing Executive'], 'neg': ['Software Engineer', 'QA Analyst', 'Frontend Developer']}}\n","\n","\n","  ]\n"],"metadata":{"id":"2MIgaxBaYNY9","executionInfo":{"status":"ok","timestamp":1752309634199,"user_tz":-330,"elapsed":105,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}}},"execution_count":11,"outputs":[]},{"cell_type":"code","source":["from sentence_transformers import SentenceTransformer, InputExample, losses, util\n","from torch.utils.data import DataLoader\n","import torch\n","model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')\n","total = 0\n","correct = 0\n","\n","for item in raw_data:\n","    query = item['set']['query']\n","    pos_list = item['set']['pos']\n","    neg_list = item['set']['neg']\n","\n","    for pos_text, neg_text in zip(pos_list, neg_list):\n","        total += 1\n","        query_emb = model.encode(query, convert_to_tensor=True)\n","        pos_emb = model.encode(pos_text, convert_to_tensor=True)\n","        neg_emb = model.encode(neg_text, convert_to_tensor=True)\n","\n","        score_pos = util.cos_sim(query_emb, pos_emb).item()\n","        score_neg = util.cos_sim(query_emb, neg_emb).item()\n","\n","        if score_pos > score_neg:\n","            correct += 1\n","\n","print(f\"Accuracy: {correct}/{total} = {correct/total:.2%}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Hle5uB5kREwi","executionInfo":{"status":"ok","timestamp":1752301162117,"user_tz":-330,"elapsed":18085,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"9df2936d-9318-47b4-9a3e-a1e8b8c6f17c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n","The secret `HF_TOKEN` does not exist in your Colab secrets.\n","To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n","You will be able to reuse this secret in all of your notebooks.\n","Please note that authentication is recommended but still optional to access public models or datasets.\n","  warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["Accuracy: 156/244 = 63.93%\n"]}]},{"cell_type":"code","source":["\n","\n","# Step 1: Prepare the triplet dataset\n","# raw_data = [...]  # your triplet data: each item has 'query', 'pos', and 'neg'\n","\n","train_examples = []\n","for item in raw_data:\n","    s = item['set']\n","    query = s['query']\n","    for pos in s['pos']:\n","        for neg in s['neg']:\n","            train_examples.append(InputExample(texts=[query, pos, neg]))\n","\n","print(f\"Prepared {len(train_examples)} triplets\")\n","\n","# Step 2: Load model and prepare dataloader\n","model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')\n","train_loss = losses.TripletLoss(model)\n","train_dataloader = DataLoader(train_examples, shuffle=True, batch_size=32)\n","\n","# Step 3: Train\n","model.fit(\n","    train_objectives=[(train_dataloader, train_loss)],\n","    epochs=60,\n","    warmup_steps=10,\n","    show_progress_bar=True,\n",")\n","\n","# ✅ Step 4: Export base model in Transformers format (JS-compatible)\n","model._first_module().auto_model.save_pretrained(\"./fine_tuned_all-MiniLM-L6-v2_model\")   # ⬅️ base encoder\n","model.tokenizer.save_pretrained(\"./fine_tuned_all-MiniLM-L6-v2_model\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":384,"referenced_widgets":["f1d651cc539e44ad92ddea0deb2e9d08","7921b36f29a5411197d5721cc8c25eea","0e4ad22455ad400fb30b6779abade40f","0b76a14611fc494abc9e58a01a1e4d3b","1d2d5de373af464cba0fd44cf49345b8","692594976a454f4faa3f6a8b146da8a5","a5c6dc3dfbe94157acb8f26fa5b33a71","108067e613dc4fd8b9e1934a719a8f8e","054f0b2c6ef342e3ba461ddc39121eb2","5c6c96a2828944bd94aaf26cd73c104c","89e9e7f895584abf805d2a02e82f23cd"]},"id":"b1b9de5bPv7M","executionInfo":{"status":"ok","timestamp":1752301269801,"user_tz":-330,"elapsed":88823,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"c8414c87-024d-4ff4-c52a-20d6c477ae35"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Prepared 732 triplets\n"]},{"output_type":"display_data","data":{"text/plain":["Computing widget examples:   0%|          | 0/1 [00:00<?, ?example/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f1d651cc539e44ad92ddea0deb2e9d08"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.\n","\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mshaukatdatascience\u001b[0m (\u001b[33mshaukatdatascience-smt-chm-college\u001b[0m) to \u001b[32mhttps://api.wandb.ai\u001b[0m. Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["Tracking run with wandb version 0.21.0"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["Run data is saved locally in <code>/content/wandb/run-20250712_061931-9t5rswnp</code>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["Syncing run <strong><a href='https://wandb.ai/shaukatdatascience-smt-chm-college/sentence-transformers/runs/9t5rswnp' target=\"_blank\">checkpoints/model_4</a></strong> to <a href='https://wandb.ai/shaukatdatascience-smt-chm-college/sentence-transformers' target=\"_blank\">Weights & Biases</a> (<a href='https://wandb.me/developer-guide' target=\"_blank\">docs</a>)<br>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":[" View project at <a href='https://wandb.ai/shaukatdatascience-smt-chm-college/sentence-transformers' target=\"_blank\">https://wandb.ai/shaukatdatascience-smt-chm-college/sentence-transformers</a>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":[" View run at <a href='https://wandb.ai/shaukatdatascience-smt-chm-college/sentence-transformers/runs/9t5rswnp' target=\"_blank\">https://wandb.ai/shaukatdatascience-smt-chm-college/sentence-transformers/runs/9t5rswnp</a>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","    <div>\n","      \n","      <progress value='1380' max='1380' style='width:300px; height:20px; vertical-align: middle;'></progress>\n","      [1380/1380 01:22, Epoch 60/60]\n","    </div>\n","    <table border=\"1\" class=\"dataframe\">\n","  <thead>\n"," <tr style=\"text-align: left;\">\n","      <th>Step</th>\n","      <th>Training Loss</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>500</td>\n","      <td>4.050600</td>\n","    </tr>\n","    <tr>\n","      <td>1000</td>\n","      <td>3.721500</td>\n","    </tr>\n","  </tbody>\n","</table><p>"]},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["('./fine_tuned_all-MiniLM-L6-v2_model/tokenizer_config.json',\n"," './fine_tuned_all-MiniLM-L6-v2_model/special_tokens_map.json',\n"," './fine_tuned_all-MiniLM-L6-v2_model/vocab.txt',\n"," './fine_tuned_all-MiniLM-L6-v2_model/added_tokens.json',\n"," './fine_tuned_all-MiniLM-L6-v2_model/tokenizer.json')"]},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["# # Install required libraries\n","# # pip install sentence-transformers\n","\n","# from sentence_transformers import SentenceTransformer, InputExample, losses, util\n","# from torch.utils.data import DataLoader\n","\n","# # Step 1: Prepare the triplet dataset\n","\n","# # Step 2: Expand into InputExamples (triplets)\n","# train_examples = []\n","# for item in raw_data:\n","#     s = item['set']\n","#     query = s['query']\n","#     for pos in s['pos']:\n","#         for neg in s['neg']:\n","#             train_examples.append(InputExample(texts=[query, pos, neg]))\n","\n","# print(f\"Prepared {len(train_examples)} triplets\")\n","\n","# # Step 3: Load model and prepare dataloader\n","# model = SentenceTransformer( 'sentence-transformers/all-MiniLM-L6-v2')  # or 'intfloat/e5-small'\n","# model.fit(\n","#     train_objectives=[(train_dataloader, train_loss)],\n","#     epochs=60,\n","#     warmup_steps=10,\n","#     show_progress_bar=True,\n","#     output_path=\"./fine_tuned_all-MiniLM-L6-v2\"\n","# )\n","\n","\n","total = 0\n","correct = 0\n","\n","for item in raw_data:\n","    query = item['set']['query']\n","    pos_list = item['set']['pos']\n","    neg_list = item['set']['neg']\n","\n","    for pos_text, neg_text in zip(pos_list, neg_list):\n","        total += 1\n","        query_emb = model.encode(query, convert_to_tensor=True)\n","        pos_emb = model.encode(pos_text, convert_to_tensor=True)\n","        neg_emb = model.encode(neg_text, convert_to_tensor=True)\n","\n","        score_pos = util.cos_sim(query_emb, pos_emb).item()\n","        score_neg = util.cos_sim(query_emb, neg_emb).item()\n","\n","        if score_pos > score_neg:\n","            correct += 1\n","\n","print(f\"Accuracy: {correct}/{total} = {correct/total:.2%}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"U1PXKd5lg8B8","executionInfo":{"status":"ok","timestamp":1752301325386,"user_tz":-330,"elapsed":5358,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"8804c0a4-77ca-475b-8e84-a9a406de96ad"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy: 241/244 = 98.77%\n"]}]},{"cell_type":"code","source":["# # Install required libraries\n","# # pip install sentence-transformers\n","\n","# from sentence_transformers import SentenceTransformer, InputExample, losses, util\n","# from torch.utils.data import DataLoader\n","\n","# # Step 1: Prepare the triplet dataset\n","\n","# # Step 2: Expand into InputExamples (triplets)\n","# train_examples = []\n","# for item in raw_data:\n","#     s = item['set']\n","#     query = s['query']\n","#     for pos in s['pos']:\n","#         for neg in s['neg']:\n","#             train_examples.append(InputExample(texts=[query, pos, neg]))\n","\n","# print(f\"Prepared {len(train_examples)} triplets\")\n","\n","# # Step 3: Load model and prepare dataloader\n","# model = SentenceTransformer(\"intfloat/e5-small\")  # or 'sentence-transformers/all-MiniLM-L6-v2'\n","\n","# train_dataloader = DataLoader(train_examples, shuffle=True, batch_size=4)\n","# train_loss = losses.TripletLoss(model=model)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":354,"referenced_widgets":["0e07136aee4e46198f3822b5059df184","64ac040af45e43558324c26bec809270","f6e0d47928f64558b5ffce4e9fcb6efa","26fda9f8a60c45cdaefa5cc117697ab5","a0813bb90d114721a6868a44e507824e","f03c32e3a0f949e78f34980bd603c9aa","0090f0a11bb94d269b6d3e0444ad4bc7","8ebb0eebcab34a4ea4252490928c3ef2","3b683962ff844dc2936770b4fd686b33","1864e9df6d074f3199eab1193c645cb5","15d250769bfa4651a476b1f09f23aad1","88db4cc2fb0447209f5c2216f22936fd","635af2b4848b4e5c99a2af62d20e085c","842ef0afcee54a978a83acb5869fb3b6","1c1e7d4001f942618c7c72e8268d80e2","7d8fd9450cac4dd3846b69afa2f78ece","620ee4c047e040faa74c4a4da62e12c6","ff49ac8f563344608fcd9e489e660b36","d6722d6abf3644da98f3e82cae269ea0","86c2c9f7f8c64b3ab19798405b4486e5","4eabecf9f0f443328ac34b577c1fc656","a09ffdb8137246b58b42802856bf3742","d3c245753460441f9f36a34b92231e8d","561fcefdb31b4b0897d9dac60f1bab52","ded22920839a48b4af93ea0a4c1bbf11","6f243d4a07ac495bafdbe6a96650767d","e7577477aed747ba98e98c1f76c6e0ba","872467762485474a8e40c8b5365dc10b","81793f1013b246988c9ba804e84e48fc","50153742ce774f7e9e7521d5a8bce526","aaa6fb07fb934c5792e57c04b01dc8fa","da0a3ad71e434a389a2fc41fc63fe021","6290aa80e5084db5891f818267e61194","ee01a94f351644c58dc7a0a20a0bf8ad","9e79b514c3f7476a8da6b1b385652f63","412fbf6498d54c279b46836090d00d4b","84100fdac01e445d9b9df5c0f3c9a84b","b3678cbfd397418aa02cca6d8f3fe473","96b48068692c498891bae530d6b47e7e","edb25c33bead4f8aba6c2ffc983d8321","a97a06271b834502b1fcca4b68381041","b4b76c8814394c46bf50e1bfe7fc9834","d88d1f13fa1c40c8b61994cbe6de73c0","fd4aa217c54941648e15c7a16b814e68","6b5a0dd862524539a7150a8ce29102e8","c346763871974003925415bdfbcd1a47","a73050d115454d5d9690f1512725f91d","fe86288981bb46fa8d8760e1323d1dac","149fd89a8b204727b6b74cc4e5c86f5b","c1d1686774744ecd8fecd04ac131beb8","1babcc599c97481d8ba515b5b20204bc","2af6e148ea3f4b51ae76643d5100883f","5056b629f31b4d089cefec89108557ba","b2463b36b96c4305bf0f59f6dda5c8fb","6bde27dc9c6648bc91ffe3ffc8347833","fc627bed39cf4bdd9e38f099d165a4a1","ffb5a514664745c4bfcf7649fdbb7da6","2641e5d438ae475b9ca320da7f8977ab","40542fe4f0b0436789a3508242b74534","9ed8a2947176440fa7d723b7eb9e6ffd","93ce3a7d9a5647d3a19246c676373687","7d6203dad92d4810b46a32263f86b377","318c4e7fd80743729f93236f1783c952","11342b71966740a6b9ca9735147f38c0","9a8739a55db84d319a71019b42ef62a7","2fa68967295f43a5b417b497bc0b2a4e","9313f870516b4fbe9b648f1b49504830","f80f9a07e89b40278c5dc19d7988a318","b862736f467843158ce4d1235de16d56","5bba549f7ccb41518cccc7a22028428b","837cc0d5031c4e70b788931b8355f890","782da0b84e58462192eac8cacd0c0557","c969a7e01c824f269b5e6903cde3615c","58605094be4549b390ef38c53dac49de","ced628e27a744a7886cd395c8a99e156","988ccf143a224e6988e3435b072020cc","5ef7eab74049422fb7de65f6bffdb31e","20bd404b2cea4e3aa6a5fb66c79d81e4","5ddf17e1b0454770b969a5f8b13a66da","498a13678e0b4d25877f5433fc211cb3","23851adb86b54838bc3dc4d7b68bfd17","4b2de9f110cd4301b2954aa8ca20e292","d5d70ea2fbab418b82fa2ac44da9ffaf","bc63b902a3b94fa3a666736fb9ce97d0","e76d17331c414abda4c7332c59c6b1ea","4d2dfb630b4b4ab1900d205d6339f6f8","15d0b5ec70d3405fbfd958417eabf57d","f3f50ec1b4b84febb77e070d7c70490c","ea5142fbb3db4a24a7b79010e64e152a","a0030d3424054a6382e7185a8b2eff61","713bd4c678f1435f9ed2732c0ff5c72a","9107ff66d1214418ada470fdfc315037","a2647af5c3614da5996191380b198f14","5bdb3b9b26544bae847c650c7bb3dc35","03515fa2beb6469ea36c4d32d4840ccb","6c8554a98a7c4ce08c44504d39f774b4","0dbba039408c4ab5b689902ecd3a021c","49eba32d68264ebc8d12caf13faa9802","7673aa4da7ed4d56aab19c921060fd46","b7fa29e2f74e44c18a941236aece1312","a99b9b2d28b34603940ec06ce9e20ef8","e92b484bdfb14905bc72659e82d0406a","d1ac4adb766b4927840ff3756da7dd1b","3885a6d150764bc2b49eabb7f2ceb825","333e0878d3124e3db887c960c683bb8f","363e0205b3ef44a58f048065b117b01b","1f82a593173e4481a1905a2635d91f71","033bc304513840bc840214bccc6d3f44","7270a6f1bea846689d5caf98e3eee151","6eab82e9e185482f94f869708b026037"]},"id":"fSmZJM5QfbmM","executionInfo":{"status":"ok","timestamp":1752299348994,"user_tz":-330,"elapsed":3482,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"6212875a-a32e-4ce7-ef6e-c263bacd71d4"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Prepared 732 triplets\n"]},{"output_type":"display_data","data":{"text/plain":["modules.json:   0%|          | 0.00/387 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"0e07136aee4e46198f3822b5059df184"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["README.md: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"88db4cc2fb0447209f5c2216f22936fd"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["sentence_bert_config.json:   0%|          | 0.00/57.0 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"d3c245753460441f9f36a34b92231e8d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["config.json:   0%|          | 0.00/641 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"ee01a94f351644c58dc7a0a20a0bf8ad"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["model.safetensors:   0%|          | 0.00/133M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6b5a0dd862524539a7150a8ce29102e8"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["tokenizer_config.json:   0%|          | 0.00/362 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"fc627bed39cf4bdd9e38f099d165a4a1"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["vocab.txt: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"9313f870516b4fbe9b648f1b49504830"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["tokenizer.json: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"20bd404b2cea4e3aa6a5fb66c79d81e4"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["special_tokens_map.json:   0%|          | 0.00/112 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"ea5142fbb3db4a24a7b79010e64e152a"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["config.json:   0%|          | 0.00/200 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"b7fa29e2f74e44c18a941236aece1312"}},"metadata":{}}]},{"cell_type":"code","source":["\n","\n","# Step 4: Train the model\n","\n","# # Step 5: Load and test the model\n","# model = SentenceTransformer('./fine_tuned_triplet_model')\n","\n","# query = \"Python Developer\"\n","# candidates = [\"Django Developer\", \"Python Trainer\", \"Content Creator\"]\n","\n","# query_emb = model.encode(query, convert_to_tensor=True)\n","# cands_emb = model.encode(candidates, convert_to_tensor=True)\n","\n","# scores = util.cos_sim(query_emb, cands_emb)\n","\n","# for i, cand in enumerate(candidates):\n","#     print(f\"{cand}: similarity = {scores[0][i].item():.4f}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":734,"referenced_widgets":["a2e3b3f2afb24d94ab6bd1f82a589235","89b0208be29f4518823dcfa84fba9154","9e0b4e37e5514523990ac23055aec318","bcbe21c6c7794cdba890a63bcd827c3a","24e7237412a345bbb4d62f8db9d2d649","712879fca51a40c0bae66553c0166562","58f905667e9342babe61ce4a4acf31ff","650b23af9210457797dc321537c6f276","50895eb03ea64df58eac3d154765615c","766a238c4e294cb2a6cb7df93dcac649","38c9143d2a6b4a0a8ee1bbf205e1f3e3"]},"id":"o2GHW7VPVOkF","executionInfo":{"status":"ok","timestamp":1752300231857,"user_tz":-330,"elapsed":617021,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"1e24eeb3-7325-4070-bd9f-b98b7fa18697"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["Computing widget examples:   0%|          | 0/1 [00:00<?, ?example/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"a2e3b3f2afb24d94ab6bd1f82a589235"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","    <div>\n","      \n","      <progress value='10980' max='10980' style='width:300px; height:20px; vertical-align: middle;'></progress>\n","      [10980/10980 10:16, Epoch 60/60]\n","    </div>\n","    <table border=\"1\" class=\"dataframe\">\n","  <thead>\n"," <tr style=\"text-align: left;\">\n","      <th>Step</th>\n","      <th>Training Loss</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>500</td>\n","      <td>4.351800</td>\n","    </tr>\n","    <tr>\n","      <td>1000</td>\n","      <td>3.916800</td>\n","    </tr>\n","    <tr>\n","      <td>1500</td>\n","      <td>3.794600</td>\n","    </tr>\n","    <tr>\n","      <td>2000</td>\n","      <td>3.707800</td>\n","    </tr>\n","    <tr>\n","      <td>2500</td>\n","      <td>3.642900</td>\n","    </tr>\n","    <tr>\n","      <td>3000</td>\n","      <td>3.602400</td>\n","    </tr>\n","    <tr>\n","      <td>3500</td>\n","      <td>3.582400</td>\n","    </tr>\n","    <tr>\n","      <td>4000</td>\n","      <td>3.561400</td>\n","    </tr>\n","    <tr>\n","      <td>4500</td>\n","      <td>3.542300</td>\n","    </tr>\n","    <tr>\n","      <td>5000</td>\n","      <td>3.519200</td>\n","    </tr>\n","    <tr>\n","      <td>5500</td>\n","      <td>3.512800</td>\n","    </tr>\n","    <tr>\n","      <td>6000</td>\n","      <td>3.490000</td>\n","    </tr>\n","    <tr>\n","      <td>6500</td>\n","      <td>3.489200</td>\n","    </tr>\n","    <tr>\n","      <td>7000</td>\n","      <td>3.469900</td>\n","    </tr>\n","    <tr>\n","      <td>7500</td>\n","      <td>3.467900</td>\n","    </tr>\n","    <tr>\n","      <td>8000</td>\n","      <td>3.453400</td>\n","    </tr>\n","    <tr>\n","      <td>8500</td>\n","      <td>3.453100</td>\n","    </tr>\n","    <tr>\n","      <td>9000</td>\n","      <td>3.448000</td>\n","    </tr>\n","    <tr>\n","      <td>9500</td>\n","      <td>3.441300</td>\n","    </tr>\n","    <tr>\n","      <td>10000</td>\n","      <td>3.437600</td>\n","    </tr>\n","    <tr>\n","      <td>10500</td>\n","      <td>3.431700</td>\n","    </tr>\n","  </tbody>\n","</table><p>"]},"metadata":{}}]},{"cell_type":"code","source":["# total = 0\n","# correct = 0\n","\n","# for item in raw_data:\n","#     query = item['set']['query']\n","#     pos_list = item['set']['pos']\n","#     neg_list = item['set']['neg']\n","\n","#     for pos_text, neg_text in zip(pos_list, neg_list):\n","#         total += 1\n","#         query_emb = model.encode(query, convert_to_tensor=True)\n","#         pos_emb = model.encode(pos_text, convert_to_tensor=True)\n","#         neg_emb = model.encode(neg_text, convert_to_tensor=True)\n","\n","#         score_pos = util.cos_sim(query_emb, pos_emb).item()\n","#         score_neg = util.cos_sim(query_emb, neg_emb).item()\n","\n","#         if score_pos > score_neg:\n","#             correct += 1\n","\n","# print(f\"Accuracy: {correct}/{total} = {correct/total:.2%}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"dc1dBAbRcQVE","executionInfo":{"status":"ok","timestamp":1751710159199,"user_tz":-330,"elapsed":7769,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"7f8d6954-a2bd-4c3d-ce4a-9412a8392713"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy: 221/244 = 90.57%\n"]}]},{"cell_type":"code","source":["# !zip -r fine_tuned_triplet_model.zip fine_tuned_triplet_model\n","# from google.colab import files\n","# files.download(\"fine_tuned_triplet_model.zip\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":273},"id":"nGNXy3oWcjX5","executionInfo":{"status":"ok","timestamp":1751710360040,"user_tz":-330,"elapsed":13732,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"1dc97874-6585-40ad-ff65-09b2d424c9e8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["  adding: fine_tuned_triplet_model/ (stored 0%)\n","  adding: fine_tuned_triplet_model/2_Normalize/ (stored 0%)\n","  adding: fine_tuned_triplet_model/README.md (deflated 64%)\n","  adding: fine_tuned_triplet_model/config_sentence_transformers.json (deflated 34%)\n","  adding: fine_tuned_triplet_model/special_tokens_map.json (deflated 80%)\n","  adding: fine_tuned_triplet_model/vocab.txt (deflated 53%)\n","  adding: fine_tuned_triplet_model/1_Pooling/ (stored 0%)\n","  adding: fine_tuned_triplet_model/1_Pooling/config.json (deflated 57%)\n","  adding: fine_tuned_triplet_model/tokenizer.json (deflated 71%)\n","  adding: fine_tuned_triplet_model/model.safetensors (deflated 18%)\n","  adding: fine_tuned_triplet_model/tokenizer_config.json (deflated 75%)\n","  adding: fine_tuned_triplet_model/config.json (deflated 48%)\n","  adding: fine_tuned_triplet_model/modules.json (deflated 62%)\n","  adding: fine_tuned_triplet_model/sentence_bert_config.json (deflated 4%)\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.Javascript object>"],"application/javascript":["\n","    async function download(id, filename, size) {\n","      if (!google.colab.kernel.accessAllowed) {\n","        return;\n","      }\n","      const div = document.createElement('div');\n","      const label = document.createElement('label');\n","      label.textContent = `Downloading \"${filename}\": `;\n","      div.appendChild(label);\n","      const progress = document.createElement('progress');\n","      progress.max = size;\n","      div.appendChild(progress);\n","      document.body.appendChild(div);\n","\n","      const buffers = [];\n","      let downloaded = 0;\n","\n","      const channel = await google.colab.kernel.comms.open(id);\n","      // Send a message to notify the kernel that we're ready.\n","      channel.send({})\n","\n","      for await (const message of channel.messages) {\n","        // Send a message to notify the kernel that we're ready.\n","        channel.send({})\n","        if (message.buffers) {\n","          for (const buffer of message.buffers) {\n","            buffers.push(buffer);\n","            downloaded += buffer.byteLength;\n","            progress.value = downloaded;\n","          }\n","        }\n","      }\n","      const blob = new Blob(buffers, {type: 'application/binary'});\n","      const a = document.createElement('a');\n","      a.href = window.URL.createObjectURL(blob);\n","      a.download = filename;\n","      div.appendChild(a);\n","      a.click();\n","      div.remove();\n","    }\n","  "]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.Javascript object>"],"application/javascript":["download(\"download_7ca7c403-1f92-4310-a26d-4573fe0555cf\", \"fine_tuned_triplet_model.zip\", 109830505)"]},"metadata":{}}]},{"cell_type":"code","source":["!pip install huggingface_hub"],"metadata":{"id":"SaOWhxzsul09","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1752301577487,"user_tz":-330,"elapsed":3815,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"c5ed52f3-00bc-4c11-ed26-770860e6097b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.11/dist-packages (0.33.2)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (3.18.0)\n","Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (2025.3.2)\n","Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (24.2)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (6.0.2)\n","Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (2.32.3)\n","Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (4.67.1)\n","Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (4.14.1)\n","Requirement already satisfied: hf-xet<2.0.0,>=1.1.2 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (1.1.5)\n","Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (3.4.2)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (3.10)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (2.4.0)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (2025.7.9)\n"]}]},{"cell_type":"code","source":["import shutil\n","from google.colab import files\n","\n","# Zip the folder\n","shutil.make_archive(\"fine_tuned_all-MiniLM-L6-v2_model\", 'zip', \"fine_tuned_all-MiniLM-L6-v2_model\")\n","\n","# Download\n","files.download(\"fine_tuned_all-MiniLM-L6-v2_model.zip\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":34},"id":"2AgerzAVTqLZ","executionInfo":{"status":"ok","timestamp":1752303212329,"user_tz":-330,"elapsed":5211,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"fc4281f0-0084-4baf-fd33-fa3102991d92"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.Javascript object>"],"application/javascript":["\n","    async function download(id, filename, size) {\n","      if (!google.colab.kernel.accessAllowed) {\n","        return;\n","      }\n","      const div = document.createElement('div');\n","      const label = document.createElement('label');\n","      label.textContent = `Downloading \"${filename}\": `;\n","      div.appendChild(label);\n","      const progress = document.createElement('progress');\n","      progress.max = size;\n","      div.appendChild(progress);\n","      document.body.appendChild(div);\n","\n","      const buffers = [];\n","      let downloaded = 0;\n","\n","      const channel = await google.colab.kernel.comms.open(id);\n","      // Send a message to notify the kernel that we're ready.\n","      channel.send({})\n","\n","      for await (const message of channel.messages) {\n","        // Send a message to notify the kernel that we're ready.\n","        channel.send({})\n","        if (message.buffers) {\n","          for (const buffer of message.buffers) {\n","            buffers.push(buffer);\n","            downloaded += buffer.byteLength;\n","            progress.value = downloaded;\n","          }\n","        }\n","      }\n","      const blob = new Blob(buffers, {type: 'application/binary'});\n","      const a = document.createElement('a');\n","      a.href = window.URL.createObjectURL(blob);\n","      a.download = filename;\n","      div.appendChild(a);\n","      a.click();\n","      div.remove();\n","    }\n","  "]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.Javascript object>"],"application/javascript":["download(\"download_3d16037e-015c-4c2a-9914-2a180acd29e3\", \"fine_tuned_all-MiniLM-L6-v2_model.zip\", 83601228)"]},"metadata":{}}]},{"cell_type":"code","source":["from sentence_transformers import SentenceTransformer, InputExample, losses, util\n","from transformers import AutoTokenizer, AutoModel\n","from torch.utils.data import DataLoader\n","import torch.nn.functional as F\n","import torch\n","model_name = \"shaukat71/fine_tuned_all-MiniLM-L6-v2_model\"  # change to your model repo\n","\n","tokenizer = AutoTokenizer.from_pretrained(model_name)\n","model = AutoModel.from_pretrained(model_name)"],"metadata":{"id":"2hp0cU61aQFW","executionInfo":{"status":"ok","timestamp":1752306012219,"user_tz":-330,"elapsed":531,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["\n","# def encode(text):\n","#     # Tokenize\n","#     inputs = tokenizer(text, return_tensors='pt', padding=True, truncation=True)\n","#     with torch.no_grad():\n","#         outputs = model(**inputs)\n","\n","#     # Mean pooling\n","#     embeddings = outputs.last_hidden_state\n","#     attention_mask = inputs['attention_mask']\n","#     mask = attention_mask.unsqueeze(-1).expand(embeddings.size())\n","#     sum_embeddings = torch.sum(embeddings * mask, dim=1)\n","#     sum_mask = torch.clamp(mask.sum(dim=1), min=1e-9)\n","#     mean_pooled = sum_embeddings / sum_mask\n","\n","#     # Normalize\n","#     return F.normalize(mean_pooled, p=2, dim=1)"],"metadata":{"id":"6zmEp3Mmjtef","executionInfo":{"status":"ok","timestamp":1752305995765,"user_tz":-330,"elapsed":31,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}}},"execution_count":8,"outputs":[]},{"cell_type":"code","source":["from sentence_transformers import SentenceTransformer, util\n","\n","model = SentenceTransformer(\"shaukat71/fine_tuned_all-MiniLM-L6-v2_model\")\n","\n","emb1 = model.encode(\"Data science mananger\", convert_to_tensor=True)\n","emb2 = model.encode(\"Ml mananger\", convert_to_tensor=True)\n","emb3 = model.encode(\"Hr mananger\", convert_to_tensor=True)\n","\n","similarity1 = util.cos_sim(emb1, emb2)\n","similarity2 = util.cos_sim(emb1, emb3)\n","print(f\"for positive words: {similarity1.item()*100}%\")\n","print(f\"for negative word: {similarity2.item()*100}%\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"A9zbKK-lksOf","executionInfo":{"status":"ok","timestamp":1752309518639,"user_tz":-330,"elapsed":674,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"627a1272-8e5f-41c3-b754-3e2ebc346715"},"execution_count":10,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:sentence_transformers.SentenceTransformer:No sentence-transformers model found with name shaukat71/fine_tuned_all-MiniLM-L6-v2_model. Creating a new one with mean pooling.\n"]},{"output_type":"stream","name":"stdout","text":["for positive words: 99.56200122833252%\n","for negative word: -25.685012340545654%\n"]}]},{"cell_type":"code","source":["from sentence_transformers import SentenceTransformer, InputExample, losses, util\n","from torch.utils.data import DataLoader\n","import torch\n","\n","total = 0\n","correct = 0\n","\n","for item in raw_data:\n","    query = item['set']['query']\n","    pos_list = item['set']['pos']\n","    neg_list = item['set']['neg']\n","\n","    for pos_text, neg_text in zip(pos_list, neg_list):\n","        total += 1\n","        query_emb = model.encode(query, convert_to_tensor=True)\n","        pos_emb = model.encode(pos_text, convert_to_tensor=True)\n","        neg_emb = model.encode(neg_text, convert_to_tensor=True)\n","\n","        score_pos = util.cos_sim(query_emb, pos_emb).item()\n","        score_neg = util.cos_sim(query_emb, neg_emb).item()\n","\n","        if score_pos > score_neg:\n","            correct += 1\n","\n","print(f\"Accuracy: {correct}/{total} = {correct/total:.2%}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WdPkaFDuv2hu","executionInfo":{"status":"ok","timestamp":1752309662005,"user_tz":-330,"elapsed":4317,"user":{"displayName":"197shaukat","userId":"01281951670485102709"}},"outputId":"2d66bc32-7c07-4e1b-98dc-30d90c709158"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy: 241/244 = 98.77%\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"5_N-BR8Sy27g"},"execution_count":null,"outputs":[]}]}