generated from mathias/template-go-web
ed85dc4a8c80f3aaba65ca8baaa5434d79ff42ac
3 iterations ran unattended on koala (agent=berget/gemma4-31b, GPU=RTX5070): iter1: val_vol_r2 0.2821→0.3749 (+9.3%) KEEP [EMBED_DIM 16→64] iter2: 0.2234→0.3011 (+7.8%) KEEP [MASK_FRAC tuning] iter3: 0.3011→0.3032 (+0.2%) KEEP [minor capacity tweak] Final EMBED_DIM=64, MASK_FRAC=0.4. STATUS.md tracks full trajectory. Both monitoring axes live: research=STATUS.md metric table, technical=GPU snapshot per iter (0% util between runs, shared cleanly w/ llama-swap). Phase-A acceptance: loop runs 3+ iters unattended, metric moves, both axes visible. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
hostexecutor
Generated from
mathias/template-go-web.
Bootstrap
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%