FlowerTune Medical LoRA Model
This is a LoRA adapter for Qwen/Qwen2.5-7B-Instruct fine-tuned with Flower federated learning framework on medical NLP datasets.
Model Performance
- PubMedQA: 0.6515
- MedMCQA: 0.5680
- MedQA: 0.6515
- CareQA: 0.5546
- Average: 0.6064
Training Details
- Domain: Medical
- Training method: Federated LoRA fine-tuning with FlowerTune
- Framework: Flower
This model is a LoRA adapter fine-tuned on Qwen/Qwen2.5-7B-Instruct using the Flower federated learning framework. It was trained on medical NLP datasets through distributed learning. The model achieved scores of PubMedQA: 0.6515, MedMCQA: 0.5680, MedQA: 0.6515, CareQA: 0.5546, with an average score of 0.6064.
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