transformers fine-tuned healthcare en base_model:Mistral-7B-Instruct-v0.1 license:apache-2.0 endpoints_compatible region:us
---
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
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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

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

### Patient's Description: {symptoms}
### Assistant: ""
