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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

### Human: If you are a doctor, please answer the medical questions based on the patient's description.

### Patient's Description: {symptoms}
### Assistant: ""
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Collection including mlninad/WellnessWhiz