LoRA Adapter Layers!
Uploaded model
- Developed by: student-abdullah
- Finetuned from model: meta-llama/Llama-3.2-1B
- Created on: 29th September, 2024
- Full model: student-abdullah/Llama3.2_Medicine-Hinglish-Dataset_Fine-Tuned_29-09
Acknowledgement
Model Description
This LoRA adapter layer model is fine-tuned from the meta-llama/Llama-3.2-1B base model to specialisation related to generic medications under the PMBJP scheme. The fine-tuning process included the following hyperparameters:
- Fine Tuning Template: Llama Q&A
- Max Tokens: 512
- LoRA Alpha: 32
- LoRA Rank (r): 128
- Learning rate: 1.5e-4
- Gradient Accumulation Steps: 4
- Batch Size: 8
Model Quantitative Performace
- Training Quantitative Loss: 0.1207 (at final 800th epoch)
Limitations
- This is not a fully compiled model, rather just LoRA layers
Model tree for student-abdullah/Llama3.2_Medicine-Hinglish-Dataset_LoRA-Adapters_29-09
Base model
meta-llama/Llama-3.2-1B