---
library_name: transformers
tags:
- text-classification
- healthcare
- intent-detection
- transformers
license: apache-2.0
datasets:
- BinKhoaLe1812/MedDialog-EN-100k
language:
- en
metrics:
- accuracy
- recall
- f1
base_model:
- FacebookAI/roberta-base
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
**Dala Intent Model** 🧠💬
Model Overview

The Dala Intent Model is a Transformer-based classifier that maps patient symptom queries to predefined intents.
It is designed as part of the Dala AI Symptom Checker to help structure healthcare conversations for further reasoning.

### Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** @jaywestty
- **Model type:** BERT-like transformer (fine-tuned for text classification)
- **Language(s) (NLP):** English
- **License:** Apache-2.0
## Uses
✅ **Intended Uses**:
* Classifying patient symptom descriptions into healthcare intents
* Assisting conversational AI in guiding users toward possible next steps

⚠️ **Limitations**:
* Not a diagnostic tool
* Should not replace professional medical advice
* Performance may vary on domains outside the training dataset

## How to Get Started with the Model
<pre> ```from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

model_name = "Jayywestty/dala-intent-model"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)

text = "I have chest pain and shortness of breath"
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)
predicted_class = torch.argmax(outputs.logits, dim=-1).item()

print("Predicted intent:", predicted_class)```</pre>

### Training Data
* **Dataset**: Proprietary healthcare dataset (10k examples)
* **Split**: 80% train / 10% validation / 10% test
* **Optimizer**: (lr = 3e-5)
* **Batch size**: 16
* **Epochs**: 3
* **Evaluation metrics**: Accuracy, F1


## Evaluation

| Metric   | Score |
| -------- | ----- |
| Accuracy | 0.85  |
| F1 Score | 0.86  |



## Citation
@misc{dala-intent-model,

  author = {Fadairo, Oluwajuwon},
  
  title = {Dala Intent Model: Transformer for Healthcare Intent Classification},
  
  year = {2025},
  
  publisher = {Hugging Face},
  
  howpublished = {\url{https://huggingface.co/Jayywestty/dala-intent-model}}
}


## Model Card Authors
Author: Fadairo Oluwajuwon

## Model Card Contact
Email: juwonfadairo13@gmail.com
GitHub: [jaywestty](https://github.com/jaywestty)