| --- |
| license: apache-2.0 |
| version: 0.0.2 |
| base_model: Mistral-7B-Instruct-v0.1 |
| tags: |
| - fine-tuned |
| - healthcare |
| model-index: |
| - name: WellnessWhiz |
| results: [] |
| language: |
| - en |
| library_name: transformers |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Model Card Description |
|
|
| ## Model Description |
|
|
| The model is designed to generate a line of treatment and diagnosis in response to a given prompt of symptoms. It essentially serves as a tool to assist in medical scenario simulations or provide initial guidance based on presented symptoms. |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - training_steps: 8000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Framework versions |
|
|
| - Transformers 4.35.0.dev0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
|
|
|
|
| ### Prompt Template |
|
|
| ```markdown |
| ### Human: If you are a doctor, please answer the medical questions based on the patient's description. |
| |
| ### Patient's Description: {symptoms} |
| ### Assistant: "" |
| |
