---
language: en
license: mit
tags:
- nutrition
- behavior-change
- tpb
- ttm
- distilbert
- text-classification
datasets:
- custom
metrics:
- accuracy
model-index:
- name: franzzzzzzzzz/ttm-stage-nutrition
  results:
  - task:
      type: text-classification
    metrics:
    - type: accuracy
      value: 84.0
---

# franzzzzzzzzz/ttm-stage-nutrition

## Model Description

Fine-tuned DistilBERT model for classifying stage of change (pre-contemplation, contemplation, preparation, action, maintenance) based on the Transtheoretical Model (TTM) for nutrition behavior change.

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) 
for behavior change inference in nutrition coaching contexts.

## Training Data

- **Training samples**: 175
- **Validation samples**: 25
- **Test samples**: 50
- **Total**: 250 samples

## Performance

- **Test Accuracy**: 84.0%

## Intended Use

This model is designed for:
- Nutrition coaching chatbots
- Behavior change interventions
- Health psychology research
- Personalized dietary guidance

## How to Use

```python
from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
import torch

# Load model
tokenizer = DistilBertTokenizer.from_pretrained("franzzzzzzzzz/ttm-stage-nutrition")
model = DistilBertForSequenceClassification.from_pretrained("franzzzzzzzzz/ttm-stage-nutrition")

# Predict
text = "I love healthy food, it's amazing!"
inputs = tokenizer(text, return_tensors='pt', padding=True, truncation=True)
outputs = model(**inputs)
prediction = torch.argmax(outputs.logits, dim=1).item()

# Convert 0-4 to 1-5 scale
score = prediction + 1
print(f"Score: {score}/5")
```

## Limitations

- Trained on English text only
- Limited to nutrition/dietary contexts
- May not generalize to other health behaviors
- Requires context-appropriate input

## Citation

If you use this model, please cite:

```
@misc{tpb-ttm-nutrition-models,
  author = {Your Name},
  title = {franzzzzzzzzz/ttm-stage-nutrition},
  year = {2026},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/franzzzzzzzzz/ttm-stage-nutrition}}
}
```

## License

MIT License