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fishstop-bert
eugenioderodev/fishstop-bert
fishstop-bert is a text classification model from eugenioderodev. Use it when you need a label for a piece of text. It is set up for transformers.
Binary content classifier for legitimate vs malicious (phishing or spam) email, used as one signal in FishSTOP. It does not inspect SPF, DKIM, DMARC, sender reputation, links or attachments and must not be used as a s…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- May 23, 2026
- Updated
- Aug 23, 2026
- SHA
- 2b0b9c40
Model card
From the Hugging Face model README
FishSTOP DistilBERT
Binary content classifier for legitimate vs malicious (phishing or spam) email, used as one signal in FishSTOP. It does not inspect SPF, DKIM, DMARC, sender reputation, links or attachments and must not be used as a standalone verdict.
- Base model:
distilbert/distilbert-base-multilingual-cased - Labels:
0=LEGITIMATE,1=MALICIOUS(phishing, scam or spam) - Input: normalized email subject plus body
- Long emails: up to 8 evenly spaced overlapping 512-token windows, stride 128, maximum malicious-margin aggregation
- Calibration: temperature scaling on the validation split
- Test F1: 0.9811
- Test precision: 0.9852
- Test recall: 0.9770
- Test selective coverage: 1.0000
The reported probability is meaningful only for data sufficiently similar to the validation distribution. Performance must be rechecked on recent, external and multilingual email sets.
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- multilingual
- Created
- May 23, 2026
- Updated
- Aug 23, 2026