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updating engine training for training

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This commit is contained in:
Daniel Rosel
2026-03-15 21:14:11 +01:00
parent 19b47aa699
commit 52b4dcdce3
13 changed files with 544 additions and 160 deletions
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12
engine/telemetry/metrics.py
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@@ -36,7 +36,12 @@ def canonicalize_metrics(raw: Mapping[str, Any], spec: TrainSpec) -> dict[str, A
eval_reward = (
_as_float(
metrics.get("eval/robust_reward_worst", metrics.get("eval/reward_mean")),
metrics.get(
"eval/stress_reward_worst",
metrics.get(
"eval/robust_reward_worst", metrics.get("eval/reward_mean")
),
),
0.0,
)
or 0.0
@@ -51,9 +56,12 @@ def canonicalize_metrics(raw: Mapping[str, Any], spec: TrainSpec) -> dict[str, A
metrics["objective/coi_preserved"] = 0.0 if coi_level is None else coi_level
metrics["study/alpha"] = spec.study.alpha
metrics["study/mode"] = "baseline" if bool(spec.study.no_robust) else "defended"
metrics["study/baseline_mode"] = float(bool(spec.study.no_robust))
metrics["study/lambda_coi"] = spec.study.lambda_coi
metrics["study/robust_radius"] = spec.study.robust_radius
metrics["study/ambiguity_radius"] = spec.study.robust_radius
metrics["study/info_value"] = spec.study.info_value
metrics["tiers"] = spec.algorithm.name
metrics["runtime/backend"] = spec.runtime.backend
metrics["runtime/device"] = spec.runtime.device