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