FlowerTune Lora Collection
Collection
12 items • Updated
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
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Model tree for zjudai/flowertune-medical-lora-llama-3.1-8b-instruct
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct