run 2026-10-23_v5-n-1024px: gate_failed
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@@ -0,0 +1,117 @@
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@@ -0,0 +1,71 @@
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{
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"model_id": "yolo26n-seg-v5-n-1024px-2026-10-25",
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"family": "yolo26n",
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"task": "segmentation",
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"training_date": "2026-10-25",
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"run": "2026-10-23_v5-n-1024px",
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{"weights": "runs/2026-10-23_v5-n-1024px/ultralytics/train/weights/best.pt", "frames": 150, "imgsz": 1024, "infer_scale": 0.5, "half": true, "ms_median": 6.54, "ms_p90": 7.16, "ms_max": 10.01, "fps_median": 153.0, "device": "0", "backend": "pytorch", "gpu": "NVIDIA GB10", "ultralytics": "8.4.160", "torch": "2.14.0+cu130"}
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@@ -0,0 +1,57 @@
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{
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"gate": {
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}
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},
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"pass": false
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"training": {
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"precision(B)": 0.76679,
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},
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"version": "yolo26n-seg-v5-n-1024px-2026-10-25",
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"measured_at": "2026-10-25T02:13:24"
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}
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@@ -2,21 +2,63 @@
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"id": "2026-10-23_v5-n-1024px",
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"dataset": "dataset/2026-10-22_v5",
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"base_weights": "models/base/yolo26n-seg.pt",
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"status": "exported",
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"status": "gate_failed",
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"created": "2026-10-23T18:54:46",
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"created_by": "jungfrau@mx-spark-01",
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"hyperparams": {},
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"version": null,
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"metrics": {},
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"hyperparams": {
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"epochs": 400,
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"imgsz": 1024,
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"batch": 8,
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"device": "0",
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"overlap_mask": false,
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"scale": 0.7,
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"translate": 0.15,
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"mosaic": 0.5,
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"close_mosaic": 10,
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"fliplr": 0,
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"flipud": 0.3,
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"shear": 5.0,
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"perspective": 0.0,
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"mask_ratio": 1
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},
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"version": "yolo26n-seg-v5-n-1024px-2026-10-25",
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"metrics": {
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"f1": 0.8499525166191833,
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"gate_pass": false,
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"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v4-noflip-mask1-2026-10-02/gold_report.json",
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"measured_at": "2026-10-25T02:13:24"
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},
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"history": [
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{
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"status": "exported",
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"at": "2026-10-23T18:54:46",
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"by": "jungfrau@mx-spark-01",
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"note": "promoted recipe (fliplr 0, mask_ratio 1) at 1024 px on dataset v5: the resolution test, gate only, Spark"
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},
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{
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"status": "training",
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"at": "2026-10-23T18:54:46",
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"by": "jungfrau@mx-spark-01",
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"note": "train_run.py"
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},
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{
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"status": "measured",
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"at": "2026-10-25T02:13:24",
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"by": "jungfrau@mx-spark-01",
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"note": ""
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},
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{
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"status": "gate_failed",
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"at": "2026-10-25T02:13:24",
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"by": "jungfrau@mx-spark-01",
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"note": "{\"baseline\": \"/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v4-noflip-mask1-2026-10-02/gold_report.json\", \"f1_delta\": 0.0022, \"mask_iou_delta\": -0.0099, \"mask_score\": 0.7867, \"mask_score_baseline\": 0.7967, \"matched_only_iou_delta\": -0.0073, \"class_f1_delta\": {\"loop_all\": -0.0115, \"pin\": 0.0066}, \"pass_point_rule\": false, \"rule\": \"paired bootstrap\", \"bootstrap\": {\"frames\": 335, \"mounts\": 300, \"draws\": 2000, \"f1\": {\"delta\": 0.0022, \"lo\": -0.0127, \"hi\": 0.0176, \"win\": 0.604}, \"mask_score\": {\"delta\": -0.0099, \"lo\": -0.0222, \"hi\": 0.0033, \"win\": 0.063}}, \"pass\": false}"
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}
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],
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"train_args": {
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"imgsz": 1024
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}
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},
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"host": "mx-spark-01",
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"started": "2026-10-23T18:54:46"
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}
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@@ -22,6 +22,7 @@ Generated by `python tools/ledger.py render`; do not edit by hand.
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| 2026-10-01_v4-recipeA | gate_failed | dataset/2026-10-01_v4 | models/base/yolo26n-seg.pt | yolo26n-seg-v4-recipeA-2026-10-02 | 0.832 | 0.884 | no | 2026-10-02T04:12 |
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| 2026-10-22_v5-noflip-mask1 | gate_failed | dataset/2026-10-22_v5 | models/base/yolo26n-seg.pt | yolo26n-seg-v5-noflip-mask1-2026-10-23 | 0.853 | 0.906 | no | 2026-10-23T03:53 |
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| 2026-10-23_v5-m-noflip-mask1 | aborted | dataset/2026-10-22_v5 | models/base/yolo26m-seg.pt | - | - | - | - | 2026-10-23T18:53 |
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| 2026-10-23_v5-n-1024px | gate_failed | dataset/2026-10-22_v5 | models/base/yolo26n-seg.pt | yolo26n-seg-v5-n-1024px-2026-10-25 | 0.850 | 0.905 | no | 2026-10-25T02:13 |
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| 2026-10-23_v5-s-noflip-mask1 | gate_failed | dataset/2026-10-22_v5 | models/base/yolo26s-seg.pt | yolo26s-seg-v5-s-noflip-mask1-2026-10-23 | 0.853 | 0.905 | no | 2026-10-23T18:53 |
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States: exported → queued → training → measured → gate_passed → gate_failed → promoted → deployed (or aborted).
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@@ -160,6 +161,13 @@ States: exported → queued → training → measured → gate_passed → gate_f
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- 2026-10-23T18:53:13 · training · jungfrau@mx-spark-01 — train_run.py
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- 2026-10-23T18:53:32 · aborted · jungfrau@mx-spark-01 — not trained: on 2026-10-23 the user chose to test higher resolution before bigger models
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## 2026-10-23_v5-n-1024px
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- 2026-10-23T18:54:46 · exported · jungfrau@mx-spark-01 — promoted recipe (fliplr 0, mask_ratio 1) at 1024 px on dataset v5: the resolution test, gate only, Spark
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- 2026-10-23T18:54:46 · training · jungfrau@mx-spark-01 — train_run.py
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- 2026-10-25T02:13:24 · measured · jungfrau@mx-spark-01
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- 2026-10-25T02:13:24 · gate_failed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v4-noflip-mask1-2026-10-02/gold_report.json", "f1_delta": 0.0022, "mask_iou_delta": -0.0099, "mask_score": 0.7867, "mask_score_baseline": 0.7967, "matched_only_iou_delta": -0.0073, "class_f1_delta": {"loop_all": -0.0115, "pin": 0.0066}, "pass_point_rule": false, "rule": "paired bootstrap", "bootstrap": {"frames": 335, "mounts": 300, "draws": 2000, "f1": {"delta": 0.0022, "lo": -0.0127, "hi": 0.0176, "win": 0.604}, "mask_score": {"delta": -0.0099, "lo": -0.0222, "hi": 0.0033, "win": 0.063}}, "pass": false}
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## 2026-10-23_v5-s-noflip-mask1
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- 2026-10-23T03:53:49 · exported · jungfrau@mx-spark-01 — promoted recipe (fliplr 0, mask_ratio 1) with yolo26s on dataset v5: gate only until its beamline speed is known, Spark
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