student-abdullah/Llama3.2_Trial-10_32-bit_gguf

Uploaded model

• Developed by: student-abdullah
• License: apache-2.0
• Finetuned from model: meta-llama/Llama-3.2-1B
• Created on: 9th October, 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: 1024
• LoRA Alpha: 2
• LoRA Rank (r): 1024
• Learning rate: 5e-5
• Gradient Accumulation Steps: 1
• Batch Size: 8
• Quantization: None

---

Model Quantitative Performace

• Training Quantitative Loss: 0.1376 (at final 10th epoch 5150th Step)

---

Limitations

• Token Limitations: With a max token limit of 1024, 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.

---

Model Performace Evaluation:

• Evaluation on 1000 Questions based on dataset (to evaluate the finetuned knowledge base)
• At temperature 0.3
• Correct Responses: %
• Incorrect Responses: %