MedGemma 4B Anti-Hallucination
MedGemma 4B fine-tuned with RLFR (Reinforcement Learning from Feature Rewards) to reduce hallucination in pharmacovigilance document generation.
- Base model:
google/medgemma-4b-it - Method: RLFR with 6 reward features (factual accuracy, completeness, format compliance, etc.)
- Task: Generate MedWatch 3500A pharmacovigilance narratives from CRF data
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("AlphaRaven/medgemma-4b-antihallu")
tokenizer = AutoTokenizer.from_pretrained("AlphaRaven/medgemma-4b-antihallu")
Part of the Clinical Trial Simulation Engine pipeline.
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