final-fine-tuned-sas-model

Fine-Tuned SAS Model

This model is fine-tuned to generate SAS code based on healthcare data specifications, specifically using the 2015 MEPS dataset. It was trained with specifications and corresponding SAS code pairs.

Model Details

• Base Model: Llama-3.2-1B-bnb-4bit
• Fine-Tuning Dataset: MEPS dataset specifications and SAS code pairs.
• Objective: Generate executable SAS code based on input specifications.
• Training Framework: Hugging Face transformers with LoRA (PEFT).
• Hardware: Google Colab Pro (A100 GPU).

Example Usage

Input:

As a healthcare data analyst, generate SAS code to identify individuals with mental disorders (CCS Code = 650-670) using the 2015 MEPS data.

Output:

PROC MEPSDATA; /* Example SAS code */
RUN;

Intended Use

This model is intended for healthcare analysts working with SAS and MEPS data. It is designed to streamline SAS code generation based on structured specifications.

Limitations

• May not generalize well to non-healthcare datasets or specifications.
• Requires familiarity with SAS to validate generated code.

License

Apache-2.0