zjudai/flowertune-medical-lora-llama-3.1-8b-instruct

FlowerTune Medical LoRA Model

This is a LoRA adapter for meta-llama/Llama-3.1-8B-Instruct fine-tuned with Flower federated learning framework on medical NLP datasets.

Model Performance

• PubMedQA: 0.5994
• MedMCQA: 0.6940
• MedQA: 0.5994
• CareQA: 0.5774
• Average: 0.6175

Training Details

• Domain: Medical
• Training method: Federated LoRA fine-tuning with FlowerTune
• Framework: Flower

This model is a LoRA adapter fine-tuned on meta-llama/Llama-3.1-8B-Instruct using the Flower federated learning framework. It was trained on medical NLP datasets through distributed learning. The model achieved scores of PubMedQA: 0.5994, MedMCQA: 0.6940, MedQA: 0.5994, CareQA: 0.5774, with an average score of 0.6175.

Links

• FlowerTune Homepage: https://huggingface.co/zjudai/FlowerTune
• FlowerTune Collection: https://huggingface.co/collections/zjudai/flowertune-lora-collection-67ecd5d0dae6145cbf798439