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tope1129/goethe_v4
goethe_v4 is a machine learning model from tope1129. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Fork of cascade-v23-poolaligned with series-level AdaIN transplant — the Cascade-legal analogue of TSFM activation transplantation.
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From the Hugging Face model README
Fork of cascade-v23-poolaligned with series-level AdaIN transplant — the Cascade-legal analogue of TSFM activation transplantation.
Cascade locks Toto2 (architecture, init, forward). Miners only ship a DataGenerator. Layer hooks / (A_l) interventions are impossible under the contract. This artifact instead treats each univariate series as a stand-in for (A_l) and transplants time-averaged (or rolling) ((\mu,\sigma)).
For a fraction augment.adain_transplant of fixed-length series in each chunk:
tilde = ((tgt - μ_tgt)/(σ_tgt+ε)) * σ_style + μ_styleadain_blend < 1 mixes transplanted with original.adain_window > 0 uses rolling stats (local signature implant).TSMixup remains (slightly lowered to 0.04) as a complementary convex mix; AdaIN is a stats swap, not an average.
| key | default | meaning |
|---|---|---|
augment.adain_transplant | 0.12 | fraction of series receiving a transplant |
augment.adain_window | 0 | 0 = global stats; >0 = rolling window length |
augment.adain_blend | 1.0 | 1 = full transplant; 0 = identity |
python3 -m cascade.miner.cli verify ./_top_codes/cascade-v24-adain-transplant --chain-toml chain.toml
cascade score ./_top_codes/cascade-v24-adain-transplant --pool-dir ./cascade-eval-pool/snapshots/2026-07-21 --device cpu
A/B against v23 on the same pool before promoting.