metadata

base_model: meta-llama/Llama-3.2-1B
datasets:
  - student-abdullah/BigPharma_Generic_Q-A_Format_Augemented_Hinglish_Dataset
language:
  - en
  - hi
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - torch
  - trl
  - unsloth
  - llama
  - gguf

Uploaded model

Developed by: student-abdullah
License: apache-2.0
Finetuned from model: meta-llama/Llama-3.2-1B
Created on: 29th September, 2024

Acknowledgement

Model Description

This model is fine-tuned from the meta-llama/Llama-3.2-1B base model to enhance its capabilities in generating relevant and accurate responses 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

Token Limitations: With a max token limit of 512, the model might not handle very long queries or contexts effectively.
Training Data Limitations: The model’s performance is contingent on the quality and coverage of the fine-tuning dataset, which may affect its generalizability to different contexts or medications not covered in the dataset.
Potential Biases: As with any model fine-tuned on specific data, there may be biases based on the dataset used for training.