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
transformerswith 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