run 2026-10-01_v4-noflip-mask1: promoted; comparison updated
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jungfrau committed 2026-10-02 13:25:46 +02:00
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{
"version": "yolo26n-seg-v3-noflip-mask1-2026-09-30",
"version": "yolo26n-seg-v4-noflip-mask1-2026-10-02",
"export": "weights.pt",
"promoted_on": "2026-09-30",
"promoted_on": "2026-10-02",
"promoted_by": "gate",
"run": "2026-09-29_v3-noflip-mask1",
"run": "2026-10-01_v4-noflip-mask1",
"gate": {
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"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json",
"f1_delta": 0.015,
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"mask_score": 0.767,
"mask_score_baseline": 0.7547,
"matched_only_iou_delta": 0.0042,
"class_f1_delta": {
"loop_all": 0.0228,
"pin": 0.0301
"loop_all": 0.024,
"pin": 0.0068
},
"pass": true
}
@@ -0,0 +1,93 @@
{
"per_class": {
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"fp": 8,
"fn": 6,
"precision": 0.9587628865979382,
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},
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},
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"n_matched": 42
},
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},
"ice": {
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"recall": 0.125,
"f1": 0.15873015873015875,
"mean_mask_iou": 0.821677572899137,
"n_matched": 5
},
"needle": {
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"fp": 0,
"fn": 1,
"precision": 0.0,
"recall": 0.0,
"f1": 0.0,
"mean_mask_iou": 0.0,
"n_matched": 0
}
},
"overall": {
"tp": 531,
"fp": 98,
"fn": 86,
"precision": 0.8441971383147854,
"recall": 0.8606158833063209,
"f1": 0.8523274478330657,
"mean_mask_iou": 0.8911693207367651,
"n_matched": 531
},
"dataset": {
"gold_images": 203,
"pred_images": 203,
"missing_predictions": 0,
"iou_threshold": 0.5
},
"gate": {
"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json",
"f1_delta": 0.015,
"mask_iou_delta": 0.0122,
"mask_score": 0.767,
"mask_score_baseline": 0.7547,
"matched_only_iou_delta": 0.0042,
"class_f1_delta": {
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},
"pass": true
}
}
@@ -0,0 +1,52 @@
{
"model_id": "yolo26n-seg-v4-noflip-mask1-2026-10-02",
"family": "yolo26n",
"task": "segmentation",
"training_date": "2026-10-02",
"run": "2026-10-01_v4-noflip-mask1",
"dataset": "dataset/2026-10-01_v4",
"base_weights": "models/base/yolo26n-seg.pt",
"hyperparams": {
"epochs": 400,
"patience": 50,
"imgsz": 640,
"batch": 16,
"device": "0",
"overlap_mask": false,
"scale": 0.7,
"translate": 0.15,
"mosaic": 0.5,
"close_mosaic": 10,
"fliplr": 0,
"flipud": 0.3,
"shear": 5.0,
"perspective": 0.0,
"mask_ratio": 1
},
"export_formats": [
"pt"
],
"metrics": {
"tp": 531,
"fp": 98,
"fn": 86,
"precision": 0.8441971383147854,
"recall": 0.8606158833063209,
"f1": 0.8523274478330657,
"mean_mask_iou": 0.8911693207367651,
"n_matched": 531
},
"gate": {
"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json",
"f1_delta": 0.015,
"mask_iou_delta": 0.0122,
"mask_score": 0.767,
"mask_score_baseline": 0.7547,
"matched_only_iou_delta": 0.0042,
"class_f1_delta": {
"loop_all": 0.024,
"pin": 0.0068
},
"pass": true
}
}
@@ -0,0 +1,38 @@
{
"overall": {
"tp": 531,
"fp": 98,
"fn": 86,
"precision": 0.8441971383147854,
"recall": 0.8606158833063209,
"f1": 0.8523274478330657,
"mean_mask_iou": 0.8911693207367651,
"n_matched": 531
},
"gate": {
"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json",
"f1_delta": 0.015,
"mask_iou_delta": 0.0122,
"mask_score": 0.767,
"mask_score_baseline": 0.7547,
"matched_only_iou_delta": 0.0042,
"class_f1_delta": {
"loop_all": 0.024,
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},
"pass": true
},
"training": {
"epochs_run": 246,
"precision(B)": 0.68152,
"recall(B)": 0.64612,
"mAP50(B)": 0.65056,
"mAP50-95(B)": 0.51323,
"precision(M)": 0.67619,
"recall(M)": 0.64182,
"mAP50(M)": 0.6394,
"mAP50-95(M)": 0.48121
},
"version": "yolo26n-seg-v4-noflip-mask1-2026-10-02",
"measured_at": "2026-10-02T13:25:34"
}
+53 -5
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@@ -2,18 +2,66 @@
"id": "2026-10-01_v4-noflip-mask1",
"dataset": "dataset/2026-10-01_v4",
"base_weights": "models/base/yolo26n-seg.pt",
"status": "exported",
"status": "promoted",
"created": "2026-10-01T23:52:09",
"created_by": "jungfrau@mx-spark-01",
"hyperparams": {},
"version": null,
"metrics": {},
"hyperparams": {
"epochs": 400,
"patience": 50,
"imgsz": 640,
"batch": 16,
"device": "0",
"overlap_mask": false,
"scale": 0.7,
"translate": 0.15,
"mosaic": 0.5,
"close_mosaic": 10,
"fliplr": 0,
"flipud": 0.3,
"shear": 5.0,
"perspective": 0.0,
"mask_ratio": 1
},
"version": "yolo26n-seg-v4-noflip-mask1-2026-10-02",
"metrics": {
"f1": 0.8523274478330657,
"mean_mask_iou": 0.8911693207367651,
"gate_pass": true,
"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json",
"measured_at": "2026-10-02T13:25:34"
},
"history": [
{
"status": "exported",
"at": "2026-10-01T23:52:09",
"by": "jungfrau@mx-spark-01",
"note": "promoted recipe (fliplr 0, mask_ratio 1) on dataset v4: candidate for the beamlines, Spark"
},
{
"status": "training",
"at": "2026-10-02T04:13:26",
"by": "jungfrau@mx-spark-01",
"note": "train_run.py"
},
{
"status": "measured",
"at": "2026-10-02T13:25:34",
"by": "jungfrau@mx-spark-01",
"note": ""
},
{
"status": "gate_passed",
"at": "2026-10-02T13:25:34",
"by": "jungfrau@mx-spark-01",
"note": "{\"baseline\": \"/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json\", \"f1_delta\": 0.015, \"mask_iou_delta\": 0.0122, \"mask_score\": 0.767, \"mask_score_baseline\": 0.7547, \"matched_only_iou_delta\": 0.0042, \"class_f1_delta\": {\"loop_all\": 0.024, \"pin\": 0.0068}, \"pass\": true}"
},
{
"status": "promoted",
"at": "2026-10-02T13:25:34",
"by": "jungfrau@mx-spark-01",
"note": "by the gate"
}
]
],
"host": "mx-spark-01",
"started": "2026-10-02T04:13:26"
}
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@@ -13,12 +13,12 @@ Generated by `python tools/ledger.py render`; do not edit by hand.
| 2026-09-29_alc-v1-noflip-mask1 | deployed | dataset/2026-09-28_alc-v1 | /home/jungfrau/AareLC/models/yolo26n-seg.pt | yolo26n-seg-alc-v1-noflip-mask1-2026-09-29 | 0.827 | 0.894 | yes | 2026-09-29T20:47 |
| 2026-09-29_v2-noflip-mask1 | aborted | dataset/2026-09-29_v2 | models/base/yolo26n-seg.pt | - | - | - | - | 2026-09-30T07:16 |
| 2026-09-29_v2-recipeA | gate_failed | dataset/2026-09-29_v2 | models/base/yolo26n-seg.pt | yolo26n-seg-v2-recipeA-2026-09-29 | 0.797 | 0.874 | no | 2026-09-29T17:56 |
| 2026-09-29_v3-noflip-mask1 | promoted | dataset/2026-09-29_v3 | models/base/yolo26n-seg.pt | yolo26n-seg-v3-noflip-mask1-2026-09-30 | 0.837 | 0.887 | yes | 2026-09-30T13:55 |
| 2026-09-29_v3-noflip-mask1 | deployed | dataset/2026-09-29_v3 | models/base/yolo26n-seg.pt | yolo26n-seg-v3-noflip-mask1-2026-09-30 | 0.837 | 0.887 | yes | 2026-10-02T11:30 |
| 2026-09-29_v3-recipeA | gate_passed | dataset/2026-09-29_v3 | models/base/yolo26n-seg.pt | yolo26n-seg-v3-recipeA-2026-09-29 | 0.831 | 0.881 | yes | 2026-09-29T23:42 |
| 2026-09-30_v3-n-1024px | exported | dataset/2026-09-29_v3 | models/base/yolo26n-seg.pt | - | - | - | - | 2026-09-30T07:17 |
| 2026-09-30_v3-s-1024px | exported | dataset/2026-09-29_v3 | models/base/yolo26s-seg.pt | - | - | - | - | 2026-09-30T07:17 |
| 2026-09-30_v3-s-640px | exported | dataset/2026-09-29_v3 | models/base/yolo26s-seg.pt | - | - | - | - | 2026-09-30T07:17 |
| 2026-10-01_v4-noflip-mask1 | exported | dataset/2026-10-01_v4 | models/base/yolo26n-seg.pt | - | - | - | - | 2026-10-01T23:52 |
| 2026-10-01_v4-noflip-mask1 | promoted | dataset/2026-10-01_v4 | models/base/yolo26n-seg.pt | yolo26n-seg-v4-noflip-mask1-2026-10-02 | 0.852 | 0.891 | yes | 2026-10-02T13:25 |
| 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 |
States: exported → queued → training → measured → gate_passed → gate_failed → promoted → deployed (or aborted).
@@ -98,6 +98,7 @@ States: exported → queued → training → measured → gate_passed → gate_f
- 2026-09-30T13:55:59 · measured · jungfrau@mx-spark-01
- 2026-09-30T13:55:59 · gate_passed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-alc-v1-noflip-mask1-2026-09-29/gold_report.json", "f1_delta": 0.0284, "mask_iou_delta": 0.0211, "mask_score": 0.7547, "mask_score_baseline": 0.7337, "matched_only_iou_delta": -0.0041, "class_f1_delta": {"loop_all": 0.0228, "pin": 0.0301}, "pass": true}
- 2026-09-30T13:55:59 · promoted · jungfrau@mx-spark-01 — by the gate
- 2026-10-02T11:30:41 · deployed · jungfrau@mx-spark-01 — deployed at the beamlines by the user (weights only), reported 2026-10-02; replaces yolo26n-seg-alc-v1-noflip-mask1-2026-09-29
## 2026-09-29_v3-recipeA
@@ -123,6 +124,10 @@ States: exported → queued → training → measured → gate_passed → gate_f
## 2026-10-01_v4-noflip-mask1
- 2026-10-01T23:52:09 · exported · jungfrau@mx-spark-01 — promoted recipe (fliplr 0, mask_ratio 1) on dataset v4: candidate for the beamlines, Spark
- 2026-10-02T04:13:26 · training · jungfrau@mx-spark-01 — train_run.py
- 2026-10-02T13:25:34 · measured · jungfrau@mx-spark-01
- 2026-10-02T13:25:34 · gate_passed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json", "f1_delta": 0.015, "mask_iou_delta": 0.0122, "mask_score": 0.767, "mask_score_baseline": 0.7547, "matched_only_iou_delta": 0.0042, "class_f1_delta": {"loop_all": 0.024, "pin": 0.0068}, "pass": true}
- 2026-10-02T13:25:34 · promoted · jungfrau@mx-spark-01 — by the gate
## 2026-10-01_v4-recipeA
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