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README.md
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## Performance
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### Metrics
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- **Accuracy**: ~
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- **Environmental Impact**:
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- Emissions tracked in gCO2eq
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- Energy consumption tracked in Wh
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This tracking helps establish a baseline for the environmental impact of model deployment and inference.
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## Limitations
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- No consideration of input text
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- Serves only as a baseline reference
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- Not suitable for any real-world applications
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## Ethical Considerations
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- Dataset contains sensitive topics related to climate disinformation
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- Model makes random predictions and should not be used for actual classification
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- Environmental impact is tracked to promote awareness of AI's carbon footprint
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```
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## Performance
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### Metrics
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- **Accuracy**: ~83%
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- **Environmental Impact**:
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- Emissions tracked in gCO2eq
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- Energy consumption tracked in Wh
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This tracking helps establish a baseline for the environmental impact of model deployment and inference.
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## Limitations
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- It may fail to generalize to night scenes or foggy settings
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- It is subject to false detections, especially at low confidence thresholds
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```
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