student-abdullah/Llama3.2_Medicine-Hinglish-Dataset_Fine-Tuned_29-09

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

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>

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.