bgglee/NL2SQL_finetuned

NL2SQL Fine-Tuned Model Overview

This model, bgglee/NL2SQL_finetuned, is a specialized large language model built upon the meta-llama/Llama-3.2-3B-Instruct architecture. It has been extensively fine-tuned to excel in Natural Language to SQL (NL2SQL) conversion tasks, enabling users to interact with databases using plain language.

Key Capabilities

• Accurate SQL Generation: Converts natural language queries into precise SQL commands.
• Self-Correction Mechanism: Incorporates a unique "self-correction with WRONG_IDS-before-Repair" method to enhance accuracy and robustness of generated SQL.
• Optimized for Database Interaction: Specifically trained on datasets like bird_dev_1434ea.json to handle complex database schemas and queries.
• Efficient Fine-tuning: Utilizes LoRA (Low-Rank Adaptation) for efficient fine-tuning, which is then merged into a full model for seamless deployment.

Good For

• Building NL2SQL Applications: Ideal for developers creating tools that allow users to query databases without writing SQL.
• Automating Data Retrieval: Can be integrated into systems requiring automated SQL generation from user input.
• Enhancing User Experience: Provides a more intuitive way for non-technical users to access and analyze data.