generated from mathias/template-go-web
v0.8.0
SupervisedHead: Linear(D→D/2)→GELU→Linear(D/2→1), trained on standardised targets with proper epoch iteration (not random 200 batches) + weight_decay=1e-4. Root cause of earlier -803 R²: unstandardised targets + ~1.2 effective passes. Results on 2008-2023 hourly OOS (n=11,641): val_vol_r2 (linear probe): 0.3585 phase1_r2 (MLP head): 0.3737 (+0.015 over probe) New knobs: PHASE1_EPOCHS=200, PHASE1_LR=1e-3. 16/16 tests pass. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Generated from
mathias/template-go-web.
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After creating from template, run:
go mod tidy # regenerate go.sum with real module path
task generate # generate templ files
task build # build the binary
Description
JEPA-based latent representation learning for FX trading risk management — research project
370 KiB
Languages
Python
76.4%
Go
18.4%
Shell
4.3%
templ
0.6%
Dockerfile
0.3%