Freeze aerial warmup across training loop

backend/tests/test_belgium_training_loop.py

@@ -63,6 +63,11 @@ def test_training_command_supports_conservative_aerial_finetuning(tmp_path: Path
     assert "degrees=0.0" in command
     assert "flipud=0.0" in command
     assert "fliplr=0.5" in command
+    assert "warmup_epochs=1.0" in command
+    assert "warmup_bias_lr=0.01" in command
+    assert "hsv_h=0.01" in command
+    assert "hsv_s=0.2" in command
+    assert "hsv_v=0.15" in command
     assert f"data={tmp_path / 'dataset.yaml'}" in command
 
 

docs/CODEX_EXECUTION_LOG.md

@@ -11817,6 +11817,16 @@ Deployment evidence:
   2 process exposing the old hardcoded value `35` was terminated before any
   result row existed; iteration 2 restarted from the identical checkpoint and
   sampling with the frozen `patience=18` contract on CUDA.
+- The first iteration-2 result row then exposed further generic-default drift:
+  bias LR reached `0.066775` because the direct v37 run's warmup bias `0.01`
+  and aerial HSV settings were not represented in the orchestrator. Both exact
+  processes were stopped after one row, and the invalid run was retained as
+  `iteration-002-invalid-warmup` with a reason marker.
+- Added explicit warmup epochs, warmup bias LR and HSV hue/saturation/value to
+  the orchestrator and versioned completion command. Iteration 2 restarted
+  cleanly from the same candidate and checksummed sampling with
+  `warmup_epochs=1`, `warmup_bias_lr=0.01`, HSV `0.01/0.2/0.15`, patience 18
+  and the existing aerial rotation/flip contract.
 - Added those aerial augmentation parameters to the orchestrator CLI and
   training command, preventing later failure-driven checkpoints from silently
   reverting to generic orientation assumptions.

docs/TODO.md

@@ -978,6 +978,7 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Bind v37 completion to a one-shot JSON command that enters calibration-first evaluation and up to 20 automatic failure-driven CUDA iterations with the frozen aerial augmentation contract.
 - [x] Complete v37 by early stopping at epoch 23, reject its best epoch-5 checkpoint calibration-first, and start closed-loop iteration 2 from checksummed failure-driven sampling.
 - [x] Make orchestrator patience explicit and retain the frozen value `18` in every subsequent CUDA iteration.
+- [x] Preserve v37 warmup and aerial HSV augmentation in every loop iteration; archive and invalidate the pre-epoch-2 run that exposed generic Ultralytics warmup drift.
 - [x] Evaluate the completed v36 YOLO11x checkpoint calibration-first on the rotated v30 holdouts; reject it before opening test/background because the regional calibration gate failed.
 - [ ] Finish and assess the leak-free v37 YOLO11x failure-driven CUDA iteration; open test/background evidence only if every calibration gate passes.
 

scripts/run_belgium_building_training_loop.py

@@ -105,6 +105,11 @@ def training_command(
     degrees: float = 0.0,
     flipud: float = 0.0,
     fliplr: float = 0.5,
+    warmup_epochs: float = 1.0,
+    warmup_bias_lr: float = 0.01,
+    hsv_h: float = 0.01,
+    hsv_s: float = 0.2,
+    hsv_v: float = 0.15,
 ) -> list[str]:
     command = [
         yolo,
@@ -127,6 +132,11 @@ def training_command(
         f"degrees={degrees}",
         f"flipud={flipud}",
         f"fliplr={fliplr}",
+        f"warmup_epochs={warmup_epochs}",
+        f"warmup_bias_lr={warmup_bias_lr}",
+        f"hsv_h={hsv_h}",
+        f"hsv_s={hsv_s}",
+        f"hsv_v={hsv_v}",
         f"seed={seed}",
         "deterministic=True",
         f"project={project}",
@@ -194,6 +204,11 @@ def main() -> int:
     parser.add_argument("--degrees", type=float, default=0.0)
     parser.add_argument("--flipud", type=float, default=0.0)
     parser.add_argument("--fliplr", type=float, default=0.5)
+    parser.add_argument("--warmup-epochs", type=float, default=1.0)
+    parser.add_argument("--warmup-bias-lr", type=float, default=0.01)
+    parser.add_argument("--hsv-h", type=float, default=0.01)
+    parser.add_argument("--hsv-s", type=float, default=0.2)
+    parser.add_argument("--hsv-v", type=float, default=0.15)
     parser.add_argument("--seed", type=int, default=20260731)
     parser.add_argument("--yolo", default="yolo")
     parser.add_argument("--min-aggregate-f1", type=float, default=0.55)
@@ -262,6 +277,11 @@ def main() -> int:
             degrees=args.degrees,
             flipud=args.flipud,
             fliplr=args.fliplr,
+            warmup_epochs=args.warmup_epochs,
+            warmup_bias_lr=args.warmup_bias_lr,
+            hsv_h=args.hsv_h,
+            hsv_s=args.hsv_s,
+            hsv_v=args.hsv_v,
         )
         if args.dry_run:
             print(json.dumps({"training_command": command, "evaluate_existing": evaluate_existing}, indent=2))

scripts/tower-v37-completion-command.json

@@ -53,6 +53,16 @@
   "0.5",
   "--fliplr",
   "0.5",
+  "--warmup-epochs",
+  "1",
+  "--warmup-bias-lr",
+  "0.01",
+  "--hsv-h",
+  "0.01",
+  "--hsv-s",
+  "0.2",
+  "--hsv-v",
+  "0.15",
   "--seed",
   "20260807",
   "--yolo",