Stonkfun Graduation Predictor

Tabular Transformer trained on 82,068 Stonkfun launches (status='graduated' label, 3.4% positive, time-ordered split).

Leak-free features only: create-time metadata (name/symbol length, fees, creator, hour/dow, website) + 5m early-window candle features — same window as stonkfun_score_live.py.

Use

from modeling_stonkfun import StonkfunTabularModel
m = StonkfunTabularModel.from_pretrained('jrhode666/stonkfun-graduation-predictor')

Training

  • 57,447 train / 12,310 val / 12,311 test (time-ordered)
  • Val: AUC 0.890, AP 0.197, F1 0.225 · Test: AUC 0.878, AP 0.162, F1 0.209
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Model size
77.1k params
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F32
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Dataset used to train jrhode666/stonkfun-graduation-predictor

Evaluation results