run 2026-11-05_v7-noflip-mask1: promoted
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@@ -1,37 +1,37 @@
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{
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"version": "yolo26s-seg-v5-s-noflip-mask1-2026-10-25",
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"version": "yolo26n-seg-v7-noflip-mask1-2026-11-06",
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"export": "weights.pt",
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"promoted_on": "2026-10-25",
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"promoted_on": "2026-11-06",
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"promoted_by": "gate",
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"run": "2026-10-23_v5-s-noflip-mask1",
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"run": "2026-11-05_v7-noflip-mask1",
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"pass": true
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@@ -0,0 +1,108 @@
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{
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"ignored_objects": 242
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},
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"environment": {
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"host": "mx-spark-01",
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"ultralytics": "8.4.160",
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"torch": "2.14.0+cu130"
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},
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"gate": {
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"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26s-seg-v5-s-noflip-mask1-2026-10-25/gold_report.json",
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"f1_delta": -0.0052,
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"mask_iou_delta": 0.0096,
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"mask_score": 0.6901,
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"mask_score_baseline": 0.6805,
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},
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}
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},
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"pass": true
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}
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}
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@@ -0,0 +1,71 @@
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{
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"model_id": "yolo26n-seg-v7-noflip-mask1-2026-11-06",
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"family": "yolo26n",
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"task": "segmentation",
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"training_date": "2026-11-06",
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"run": "2026-11-05_v7-noflip-mask1",
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"dataset": "dataset/2026-11-04_v7",
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"base_weights": "models/base/yolo26n-seg.pt",
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"hyperparams": {
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"epochs": 400,
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"patience": 50,
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"imgsz": 640,
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"batch": 16,
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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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"export_formats": [
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"pt"
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],
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"n_matched": 719
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"gate": {
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"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26s-seg-v5-s-noflip-mask1-2026-10-25/gold_report.json",
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},
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"pass": true
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}
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}
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@@ -0,0 +1 @@
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{"weights": "runs/2026-11-05_v7-noflip-mask1/ultralytics/train/weights/best.pt", "frames": 150, "imgsz": 640, "infer_scale": 0.5, "half": true, "ms_median": 3.98, "ms_p90": 4.08, "ms_max": 6.7, "fps_median": 251.2, "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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"overall": {
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"mean_mask_iou": 0.879154366768529,
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"n_matched": 719
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},
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"gate": {
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"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26s-seg-v5-s-noflip-mask1-2026-10-25/gold_report.json",
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"hi": 0.0225,
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"win": 0.926
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}
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},
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"pass": true
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},
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"training": {
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"epochs_run": 233,
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"precision(B)": 0.67594,
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"recall(B)": 0.75992,
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"mAP50(B)": 0.76383,
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"mAP50-95(B)": 0.57244,
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"precision(M)": 0.67677,
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"recall(M)": 0.75905,
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"mAP50(M)": 0.76589,
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"mAP50-95(M)": 0.55224
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},
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"version": "yolo26n-seg-v7-noflip-mask1-2026-11-06",
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"measured_at": "2026-11-06T03:13:57"
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}
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@@ -2,18 +2,66 @@
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"id": "2026-11-05_v7-noflip-mask1",
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"dataset": "dataset/2026-11-04_v7",
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"base_weights": "models/base/yolo26n-seg.pt",
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"status": "exported",
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"status": "promoted",
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"created": "2026-11-05T14:01:49",
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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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"patience": 50,
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"batch": 16,
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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-v7-noflip-mask1-2026-11-06",
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"metrics": {
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"f1": 0.7914144193725923,
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"mean_mask_iou": 0.879154366768529,
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"gate_pass": true,
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"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26s-seg-v5-s-noflip-mask1-2026-10-25/gold_report.json",
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"measured_at": "2026-11-06T03:13:57"
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},
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"history": [
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{
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"status": "exported",
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"at": "2026-11-05T14:01:49",
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"by": "jungfrau@mx-spark-01",
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"note": "promoted recipe (fliplr 0, mask_ratio 1) on dataset v7: candidate for the beamlines, Spark"
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},
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{
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"status": "training",
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"at": "2026-11-05T14:01:49",
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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": "2026-11-06T03:13:57",
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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_passed",
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"at": "2026-11-06T03:13:57",
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"by": "jungfrau@mx-spark-01",
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"note": "{\"baseline\": \"/home/jungfrau/AareLC_train/models/registry/yolo26s-seg-v5-s-noflip-mask1-2026-10-25/gold_report.json\", \"f1_delta\": -0.0052, \"mask_iou_delta\": 0.0096, \"mask_score\": 0.6901, \"mask_score_baseline\": 0.6805, \"matched_only_iou_delta\": -0.005, \"class_f1_delta\": {\"loop_all\": -0.0038, \"pin\": -0.0143}, \"pass_point_rule\": false, \"rule\": \"paired bootstrap\", \"bootstrap\": {\"frames\": 337, \"mounts\": 311, \"draws\": 2000, \"f1\": {\"delta\": -0.0052, \"lo\": -0.0215, \"hi\": 0.0112, \"win\": 0.27}, \"mask_score\": {\"delta\": 0.0096, \"lo\": -0.0032, \"hi\": 0.0225, \"win\": 0.926}}, \"pass\": true}"
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},
|
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{
|
||||
"status": "promoted",
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"at": "2026-11-06T03:13:57",
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"by": "jungfrau@mx-spark-01",
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"note": "by the gate"
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}
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]
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],
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"host": "mx-spark-01",
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"started": "2026-11-05T14:01:49"
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}
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@@ -32,6 +32,7 @@ Generated by `python tools/ledger.py render`; do not edit by hand.
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| 2026-11-03_crop1-s | registered | dataset/2026-11-03_crop1 | yolo26s-seg.pt | yolo26s-seg-crop1-s-2026-11-04 | - | - | - | 2026-11-04T02:39 |
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| 2026-11-04_v7-s-noflip-mask1 | gate_failed | dataset/2026-11-04_v7 | models/base/yolo26s-seg.pt | yolo26s-seg-v7-s-noflip-mask1-2026-11-05 | 0.791 | 0.874 | no | 2026-11-05T05:26 |
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| 2026-11-05_v7-crop-s | registered | dataset/2026-11-04_v7crop | models/base/yolo26s-seg.pt | yolo26s-seg-v7-crop-s-2026-11-05 | - | - | - | 2026-11-05T14:01 |
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| 2026-11-05_v7-noflip-mask1 | promoted | dataset/2026-11-04_v7 | models/base/yolo26n-seg.pt | yolo26n-seg-v7-noflip-mask1-2026-11-06 | 0.791 | 0.879 | yes | 2026-11-06T03:13 |
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States: exported → queued → training → measured → registered → gate_passed → gate_failed → promoted → deployed (or aborted).
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@@ -259,3 +260,11 @@ States: exported → queued → training → measured → registered → gate_pa
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- 2026-11-05T05:26:46 · exported · jungfrau@mx-spark-01 — loop-head crop model (yolo26s) for the studio second pass on the v7 pool: crops 1.6x the face, min 512 px, head classes only; promoted recipe; no gold gate, measured as a two-pass behind the first-pass models, Spark
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- 2026-11-05T05:26:46 · training · jungfrau@mx-spark-01 — train_run.py
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- 2026-11-05T14:01:38 · registered · jungfrau@mx-spark-01 — --no-gate: no gold measure
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## 2026-11-05_v7-noflip-mask1
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- 2026-11-05T14:01:49 · exported · jungfrau@mx-spark-01 — promoted recipe (fliplr 0, mask_ratio 1) on dataset v7: candidate for the beamlines, Spark
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- 2026-11-05T14:01:49 · training · jungfrau@mx-spark-01 — train_run.py
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- 2026-11-06T03:13:57 · measured · jungfrau@mx-spark-01
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- 2026-11-06T03:13:57 · gate_passed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26s-seg-v5-s-noflip-mask1-2026-10-25/gold_report.json", "f1_delta": -0.0052, "mask_iou_delta": 0.0096, "mask_score": 0.6901, "mask_score_baseline": 0.6805, "matched_only_iou_delta": -0.005, "class_f1_delta": {"loop_all": -0.0038, "pin": -0.0143}, "pass_point_rule": false, "rule": "paired bootstrap", "bootstrap": {"frames": 337, "mounts": 311, "draws": 2000, "f1": {"delta": -0.0052, "lo": -0.0215, "hi": 0.0112, "win": 0.27}, "mask_score": {"delta": 0.0096, "lo": -0.0032, "hi": 0.0225, "win": 0.926}}, "pass": true}
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- 2026-11-06T03:13:57 · promoted · jungfrau@mx-spark-01 — by the gate
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