maximuslee07/code-llama-7b-text-to-sql
The maximuslee07/code-llama-7b-text-to-sql model is a 7 billion parameter Code Llama-based language model, fine-tuned from codellama/CodeLlama-7b-hf. This model is specifically optimized for text-to-SQL generation tasks, leveraging its 4096-token context length to accurately convert natural language queries into SQL commands. It is designed for applications requiring robust and precise SQL code generation from user input.
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Model Overview
This model, maximuslee07/code-llama-7b-text-to-sql, is a specialized language model fine-tuned for the task of converting natural language into SQL queries. It is built upon the CodeLlama-7b-hf architecture, a 7 billion parameter model developed by Code Llama, and has been adapted for enhanced performance in text-to-SQL generation.
Key Capabilities
- Text-to-SQL Generation: The primary function of this model is to translate natural language descriptions or questions into executable SQL code.
- CodeLlama Foundation: Benefits from the robust code understanding and generation capabilities inherent in the Code Llama base model.
- Fine-tuned Performance: Optimized through specific training on a generator dataset to improve accuracy and relevance for SQL generation tasks.
Training Details
The model was trained with the following key hyperparameters:
- Learning Rate: 0.0002
- Batch Size: 3 (train), 8 (eval)
- Epochs: 3
- Optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
Intended Use Cases
This model is particularly well-suited for applications where users need to interact with databases using natural language, such as:
- Building natural language interfaces for databases.
- Automating SQL query generation from user requests.
- Assisting developers in writing complex SQL queries more efficiently.