Uploaded model
- Developed by: student-abdullah
- License: apache-2.0
- Finetuned from model: Meta/Meta-Llama-3.1-8B
Acknowledgement
Model Description
This model is fine-tuned from the Meta/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:
- Max Tokens: 512
- LoRA Alpha: 12
- LoRA Rank (r): 128
- Gradient Accumulation Steps: 32
- Batch Size: 2
- Qunatization: 8 bits
Model Quantitative Performace
- Training Quantitative Loss: 0.262 (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.
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