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title: Submission Portal Text | |
emoji: 📜 | |
colorFrom: pink | |
colorTo: red | |
sdk: gradio | |
sdk_version: 5.8.0 | |
app_file: app.py | |
pinned: false | |
# Random Baseline Model for Climate Disinformation Classification | |
## Model Description | |
This is a random baseline model for the Frugal AI Challenge 2024, specifically for the text classification task of identifying climate disinformation. The model serves as a performance floor, randomly assigning labels to text inputs without any learning. | |
### Intended Use | |
- **Primary intended uses**: Baseline comparison for climate disinformation classification models | |
- **Primary intended users**: Researchers and developers participating in the Frugal AI Challenge | |
- **Out-of-scope use cases**: Not intended for production use or real-world classification tasks | |
## Training Data | |
The model uses the QuotaClimat/frugalaichallenge-text-train dataset: | |
- Size: ~6000 examples | |
- Split: 80% train, 20% test | |
- 8 categories of climate disinformation claims | |
### Labels | |
0. No relevant claim detected | |
1. Global warming is not happening | |
2. Not caused by humans | |
3. Not bad or beneficial | |
4. Solutions harmful/unnecessary | |
5. Science is unreliable | |
6. Proponents are biased | |
7. Fossil fuels are needed | |
## Performance | |
### Metrics | |
- **Accuracy**: ~12.5% (random chance with 8 classes) | |
- **Environmental Impact**: | |
- Emissions tracked in gCO2eq | |
- Energy consumption tracked in Wh | |
### Model Architecture | |
The model implements a random choice between the 8 possible labels, serving as the simplest possible baseline. | |
## Environmental Impact | |
Environmental impact is tracked using CodeCarbon, measuring: | |
- Carbon emissions during inference | |
- Energy consumption during inference | |
This tracking helps establish a baseline for the environmental impact of model deployment and inference. | |
## Limitations | |
- Makes completely random predictions | |
- No learning or pattern recognition | |
- No consideration of input text | |
- Serves only as a baseline reference | |
- Not suitable for any real-world applications | |
## Ethical Considerations | |
- Dataset contains sensitive topics related to climate disinformation | |
- Model makes random predictions and should not be used for actual classification | |
- Environmental impact is tracked to promote awareness of AI's carbon footprint | |
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