DistilBERT Disaster Tweet Classifier
This educational model fine-tunes distilbert/distilbert-base-uncased to
classify English tweets as DISASTER or NOT_DISASTER.
Validation results
| Metric | Value |
|---|---|
| Accuracy | 0.8516 |
| Precision (DISASTER) | 0.8754 |
| Recall (DISASTER) | 0.7630 |
| F1 (DISASTER) | 0.8154 |
The validation split contains 1,523 examples. The best checkpoint was selected by validation F1 after the first training epoch.
Intended use and limitations
This model is a course project and demonstration. It must not be used as a real emergency detection or public-safety system. The source dataset contains ambiguous labels, exact duplicate texts, and informal language. The model can also mistake simulations, false alarms, metaphors, or staged events for real disasters.
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Model tree for chris-2004/distilbert-disaster-tweets
Base model
distilbert/distilbert-base-uncased