docs: tiny transformer implementation plan for scam/spam classifier#21
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- Targets existing classifier: scam, clean, topic_crypto (multi-label, ~4k samples) - Teacher: cardiffnlp/twitter-roberta-large-2022-154m (primary), vinai/bertweet-large (alt) - Ensemble strategy: 3 seeds at 4k, single teacher at 100k-1M scale - Dual-head: softmax (scam/clean) + sigmoid (topics) - Distillation: logit-based, T=2-4, intermediate-layer matching, DAPT - Student: 4-layer BERT, hidden 192, 4 heads, int8 ONNX ≤5MB - Daily log entry for 2026-02-13
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Summary
Adds a comprehensive implementation plan for an optional tiny-transformer path for
ai_generated_replydetection in the browser extension.Plan highlights
Files
docs/plans/tiny-transformer-plan.md— full implementation plandocs/logs/2026-02-13.md— daily log entry