|
--- |
|
base_model: meta-llama/Meta-Llama-3.1-8B |
|
language: |
|
- en |
|
license: apache-2.0 |
|
tags: |
|
- text-generation-inference |
|
- transformers |
|
- torch |
|
- trl |
|
- unsloth |
|
- llama |
|
- gguf |
|
datasets: |
|
- student-abdullah/BigPharma_Generic_Q-A_Format_Augemented_Dataset |
|
--- |
|
|
|
|
|
# Uploaded model |
|
|
|
- **Developed by:** student-abdullah |
|
- **License:** apache-2.0 |
|
- **Finetuned from model:** meta-llama/Meta-Llama-3.1-8B |
|
- **Created on:** 25th September, 2024 |
|
|
|
--- |
|
# Acknowledgement |
|
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
|
|
|
--- |
|
# Model Description |
|
This model is fine-tuned from the meta-llama/Meta-Llama-3.1-8B 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 3.1 Q&A |
|
- Max Tokens: 512 |
|
- LoRA Alpha: 10 |
|
- LoRA Rank (r): 128 |
|
- Learning rate: 2e-4 |
|
- Gradient Accumulation Steps: 32 |
|
- Batch Size: 4 |
|
- Qunatization: 16 bits |
|
|
|
--- |
|
# Model Quantitative Performace |
|
- Training Quantitative Loss: 0.1676 (at final 160th 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. |
|
|
