generated from mathias/template-go-web
chore: fixture backlog for Phase A toy run + gitignore cleanup
- fixtures/phase-a-toy.json — scaffold source for `autoresearch start`
Phase A live run: val_vol_r2 metric, daily EUR/USD, HEPA encoder toy
- .gitignore: add runs/ (ephemeral run dirs), metrics.json, embeddings.json,
HEARTBEAT, STATUS.md, pyc/__pycache__/.pytest_cache, eval binary
- untrack metrics.json (was a stale committed sample, now gitignored)
Launch on koala:
python scripts/autoresearch_start.py fixtures/phase-a-toy.json phase-a-toy
op run -- env LITELLM_KEY="$LITELLM_KEY" \
python loop.py --run-dir runs/phase-a-toy --iters 3
Closes the last gate on jepa-fx-risk#11 Phase A (code shipped v1.4.0;
live run pending).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
+17
@@ -34,3 +34,20 @@ bin/
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# downloaded + processed market data (track via DVC/MinIO, #10 — not git)
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data/
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# autoresearch run dirs (ephemeral; each scaffold rebuilds from fixtures/)
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runs/
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# ephemeral experiment outputs (generated by train.py / loop.py)
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metrics.json
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embeddings.json
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HEARTBEAT
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STATUS.md
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# python caches
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__pycache__/
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*.pyc
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.pytest_cache/
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# built Go binaries
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eval
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@@ -0,0 +1,11 @@
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{
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"strategic_question": "What is the highest-leverage path to a JEPA-based FX tail-risk system that beats a GARCH/EWMA baseline on out-of-sample VaR-breach calibration, given one GPU and a solo researcher?",
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"nodes": [
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{
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"id": "phase-a-toy",
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"status": "autoresearch-ready",
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"question": "Improve the OOS linear-probe R² (val_vol_r2) of the HEPA encoder on EUR/USD daily realized vol. The encoder is a small causal transformer trained with VICReg. Vary one hyperparameter or architectural choice per iteration — model size, learning rate, window, patch length, depth, VICReg loss weights — to push val_vol_r2 as high as possible on the 2022-2023 OOS slice.",
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"candidate_metric": "val_vol_r2"
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}
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]
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}
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@@ -1,14 +0,0 @@
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{
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"val_vol_r2": 0.3641397896593044,
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"phase1_r2": 0.3908407688140869,
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"n_test": 11641,
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"knobs": {
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"WINDOW": 120,
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"PATCH_LEN": 24,
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"D_MODEL": 128,
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"DEPTH": 2,
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"ALPHA": 0.1,
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"DELTA_T_MAX": 3,
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"EPOCHS": 300
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}
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}
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