metadata

base_model: meta-llama/Meta-Llama-3.1-8B
language:
  - en
  - hi
datasets:
  - student-abdullah/BigPharma_Generic_Q-A_Format_Augemented_Hinglish_Dataset

LoRA Adapter Layers!

Uploaded model

Developed by: student-abdullah
Finetuned from model: meta-llama/Meta-Llama-3.1-8B
Created on: 27th September, 2024
Full model: student-abdullah/llama3.1_medicine_hinglish_fine-tuned_26-09_8bits_gguf

Acknowledgement

Model Description

This LoRA adapter layer model is fine-tuned from the meta-llama/Meta-Llama-3.1-8B base model to specialisation related to generic medications under the PMBJP scheme. The fine-tuning process included the following hyperparameters:

Fine Tuning Template: Llama 3.1 Q&A
Max Tokens: 512
LoRA Alpha: 32
LoRA Rank (r): 128
Learning rate: 2e-4
Gradient Accumulation Steps: 2
Batch Size: 12

Model Quantitative Performace

Training Quantitative Loss: 0.1368 (at final 300th epoch)

Limitations

This is not a fully compiled model, rather just LoRA layers