run 2026-09-29_v3-noflip-mask1: promoted; comparison updated
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jungfrau committed 2026-09-30 13:56:07 +02:00
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{
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{
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50,9536.9,0.88977,1.12706,0.82153,0.00601,0.48067,0.60843,0.68829,0.65326,0.50726,0.62555,0.66037,0.64646,0.4912,0.8234,1.015,0.81422,0.00732,0,0.000878725,0.000878725,0.000878725
51,9809.19,0.88688,1.12287,0.83386,0.00562,0.49723,0.65013,0.61382,0.65531,0.50163,0.67169,0.63506,0.6595,0.48766,0.85189,1.05515,0.79615,0.00753,0,0.00087625,0.00087625,0.00087625
52,10115.2,0.8779,1.11989,0.83185,0.00594,0.49977,0.58336,0.66375,0.6611,0.50703,0.62327,0.63594,0.66345,0.49223,0.83335,0.98739,0.79668,0.00715,0,0.000873775,0.000873775,0.000873775
53,10460.1,0.89461,1.13505,0.84579,0.00591,0.49307,0.64717,0.62917,0.6338,0.49064,0.63993,0.63405,0.64341,0.47495,0.82404,1.00476,0.83551,0.00706,0,0.0008713,0.0008713,0.0008713
54,10792.6,0.89428,1.1218,0.8077,0.00592,0.46953,0.76,0.63133,0.65137,0.48935,0.74549,0.6258,0.64802,0.49384,0.86961,1.02337,0.81715,0.00745,0,0.000868825,0.000868825,0.000868825
55,11077.6,0.8924,1.09698,0.79021,0.00597,0.46948,0.64554,0.64413,0.65435,0.50124,0.65223,0.64505,0.65931,0.48538,0.82262,0.99641,0.84018,0.00715,0,0.00086635,0.00086635,0.00086635
56,11350.8,0.88101,1.14273,0.84443,0.00589,0.50783,0.67129,0.62575,0.64428,0.48952,0.68863,0.62892,0.64385,0.47801,0.82236,0.99363,0.86309,0.00698,0,0.000863875,0.000863875,0.000863875
57,11637.9,0.87785,1.09971,0.80187,0.00553,0.46305,0.61969,0.63697,0.64113,0.49557,0.62707,0.63885,0.64363,0.47825,0.8252,1.01768,0.81598,0.00744,0,0.0008614,0.0008614,0.0008614
58,11943.3,0.9076,1.12052,0.80664,0.00586,0.47489,0.6357,0.64531,0.64897,0.49468,0.64618,0.6539,0.6501,0.48501,0.83839,0.97063,0.77436,0.00751,0,0.000858925,0.000858925,0.000858925
59,12314,0.86165,1.13653,0.80542,0.00573,0.46399,0.69266,0.61363,0.64568,0.49367,0.59708,0.67468,0.64216,0.47455,0.82163,1.00513,0.83396,0.00741,0,0.00085645,0.00085645,0.00085645
60,12761.6,0.87191,1.1299,0.78862,0.00576,0.47282,0.68536,0.63339,0.66115,0.50426,0.69723,0.63473,0.65405,0.48839,0.79105,1.00814,0.79553,0.00686,0,0.000853975,0.000853975,0.000853975
61,13383.1,0.88401,1.07238,0.79277,0.00578,0.46277,0.62699,0.64036,0.63438,0.48506,0.64393,0.65477,0.6426,0.48065,0.8105,1.01883,0.76286,0.00719,0,0.0008515,0.0008515,0.0008515
62,14001.5,0.85471,1.09397,0.77239,0.00572,0.47185,0.67863,0.62395,0.64147,0.50452,0.67991,0.62532,0.6341,0.49478,0.79466,0.98734,0.81768,0.00675,0,0.000849025,0.000849025,0.000849025
63,14565.3,0.86606,1.07875,0.79459,0.00573,0.46731,0.58021,0.61849,0.64223,0.49312,0.58253,0.61919,0.63447,0.4812,0.80865,0.97333,0.81399,0.0071,0,0.00084655,0.00084655,0.00084655
64,15192.6,0.86273,1.1089,0.76685,0.00557,0.48979,0.56389,0.70833,0.6524,0.50019,0.56657,0.70663,0.64515,0.48721,0.82004,0.97696,0.79678,0.00724,0,0.000844075,0.000844075,0.000844075
65,15840.2,0.87964,1.12745,0.77861,0.0057,0.4857,0.70074,0.60631,0.64393,0.49396,0.71052,0.61134,0.65246,0.48618,0.83441,0.99824,0.81843,0.00725,0,0.0008416,0.0008416,0.0008416
66,16468.8,0.84998,1.09526,0.76702,0.00549,0.48002,0.80572,0.61727,0.65086,0.50287,0.81388,0.62442,0.64462,0.48932,0.78546,0.99352,0.78193,0.00661,0,0.000839125,0.000839125,0.000839125
67,17099.9,0.82972,1.09314,0.77794,0.00551,0.45993,0.66105,0.59078,0.64525,0.49278,0.56987,0.64473,0.64427,0.48107,0.84771,1.02471,0.78429,0.00758,0,0.00083665,0.00083665,0.00083665
68,17915,0.85449,1.09915,0.76894,0.00551,0.47945,0.57207,0.61162,0.63476,0.49342,0.58014,0.63305,0.63156,0.48179,0.80866,0.97505,0.79615,0.00694,0,0.000834175,0.000834175,0.000834175
69,18414.3,0.84041,1.05347,0.73793,0.00551,0.47896,0.67645,0.60951,0.66094,0.50259,0.64586,0.65111,0.66135,0.49405,0.82142,0.97646,0.76598,0.00702,0,0.0008317,0.0008317,0.0008317
70,18875.9,0.84218,1.04902,0.77291,0.00534,0.45058,0.60254,0.67579,0.65422,0.50388,0.6039,0.64482,0.64228,0.48836,0.79378,1.03094,0.78402,0.00692,0,0.000829225,0.000829225,0.000829225
71,19344.1,0.8664,1.07246,0.77947,0.00558,0.46676,0.75083,0.6257,0.65581,0.50163,0.79473,0.62253,0.65509,0.49079,0.82134,0.98255,0.79908,0.00706,0,0.00082675,0.00082675,0.00082675
72,19810.5,0.84555,1.0953,0.75882,0.00574,0.48145,0.63202,0.67853,0.66235,0.50738,0.63437,0.64909,0.65862,0.49433,0.80873,1.03194,0.80299,0.00696,0,0.000824275,0.000824275,0.000824275
73,20329.5,0.84587,1.0797,0.73858,0.00521,0.45821,0.65457,0.67609,0.65657,0.5079,0.65861,0.68102,0.65575,0.49525,0.7828,1.0047,0.75742,0.00687,0,0.0008218,0.0008218,0.0008218
74,20788.3,0.86698,1.0885,0.76369,0.00572,0.49147,0.60078,0.68458,0.66247,0.50864,0.59665,0.68189,0.65688,0.4872,0.8232,1.01599,0.75905,0.00726,0,0.000819325,0.000819325,0.000819325
75,21308.8,0.86277,1.08775,0.78501,0.00545,0.47187,0.68127,0.64754,0.67187,0.51563,0.67999,0.64617,0.66487,0.49926,0.78725,1.00044,0.7209,0.00677,0,0.00081685,0.00081685,0.00081685
76,21741.2,0.8617,1.07876,0.75653,0.00536,0.4614,0.59985,0.68518,0.64373,0.5015,0.59673,0.67056,0.63601,0.47687,0.82119,1.00334,0.75027,0.0074,0,0.000814375,0.000814375,0.000814375
77,22229.8,0.84924,1.07078,0.73062,0.0056,0.4511,0.66149,0.65408,0.66441,0.51192,0.68024,0.66735,0.67377,0.50103,0.82441,1.02018,0.73001,0.00722,0,0.0008119,0.0008119,0.0008119
78,22693.6,0.85639,1.08209,0.76362,0.00545,0.47773,0.59603,0.64573,0.64838,0.50521,0.59856,0.66228,0.64445,0.48509,0.77397,1.00194,0.75436,0.00664,0,0.000809425,0.000809425,0.000809425
79,23179.4,0.84192,1.05908,0.75625,0.00543,0.44914,0.584,0.66889,0.6306,0.49952,0.57982,0.65611,0.62046,0.47263,0.79408,1.01475,0.76909,0.00667,0,0.00080695,0.00080695,0.00080695
80,23677.2,0.88775,1.14797,0.79739,0.00601,0.47261,0.60708,0.63102,0.65323,0.5051,0.59874,0.63758,0.64867,0.48547,0.79811,1.03357,0.77877,0.00673,0,0.000804475,0.000804475,0.000804475
81,24502.9,0.84191,1.04304,0.72235,0.00546,0.45004,0.63937,0.66961,0.66007,0.50608,0.63814,0.6685,0.6493,0.48591,0.80205,0.99463,0.76115,0.00697,0,0.000802,0.000802,0.000802
82,25374.5,0.83811,1.07004,0.74234,0.00525,0.43785,0.61315,0.6579,0.64484,0.50145,0.60873,0.65199,0.63777,0.48477,0.78556,1.00336,0.78072,0.00675,0,0.000799525,0.000799525,0.000799525
1 epoch time train/box_loss train/seg_loss train/cls_loss train/l1_loss train/sem_loss metrics/precision(B) metrics/recall(B) metrics/mAP50(B) metrics/mAP50-95(B) metrics/precision(M) metrics/recall(M) metrics/mAP50(M) metrics/mAP50-95(M) val/box_loss val/seg_loss val/cls_loss val/l1_loss val/sem_loss lr/pg0 lr/pg1 lr/pg2
2 1 193.485 1.05828 2.03817 6.07844 0.00723 12.0727 0.96511 0.21592 0.3566 0.27046 0.96603 0.21861 0.36994 0.27336 0.86857 1.47075 7.16184 0.00758 0 0.000328829 0.000328829 0.000328829
3 2 311.778 1.0882 1.55365 4.34301 0.00748 5.3785 0.76371 0.53057 0.54437 0.37726 0.74628 0.52001 0.5324 0.36704 0.90669 1.41439 5.16805 0.00814 0 0.000660523 0.000660523 0.000660523
4 3 431.954 1.18832 1.62443 3.51301 0.00877 3.23436 0.7125 0.55489 0.56147 0.37392 0.70838 0.54705 0.55022 0.3703 1.11081 1.50519 3.86518 0.01145 0 0.000990568 0.000990568 0.000990568
5 4 554.975 1.13262 1.52667 2.69082 0.00837 2.22998 0.8043 0.55894 0.59089 0.42177 0.85691 0.53771 0.59906 0.41769 1.03216 1.4128 2.76946 0.0097 0 0.000992575 0.000992575 0.000992575
6 5 678.806 1.11354 1.46431 2.21172 0.00872 1.53612 0.7027 0.56605 0.58619 0.39942 0.82266 0.52474 0.58659 0.40514 1.15863 1.26482 2.2546 0.01239 0 0.0009901 0.0009901 0.0009901
7 6 809.59 1.13804 1.43681 1.90976 0.00845 1.14277 0.89167 0.53082 0.58978 0.41608 0.89818 0.52655 0.584 0.43151 1.01457 1.13095 1.84529 0.00976 0 0.000987625 0.000987625 0.000987625
8 7 961.56 1.06975 1.43622 1.64011 0.00762 0.81933 0.78542 0.56577 0.59792 0.43496 0.79737 0.57139 0.60488 0.43759 1.06065 1.25399 1.60578 0.00994 0 0.00098515 0.00098515 0.00098515
9 8 1113.72 1.09447 1.40241 1.50153 0.00798 0.67933 0.89496 0.57184 0.62264 0.44363 0.89524 0.57206 0.61514 0.44993 0.97267 1.16012 1.48452 0.00887 0 0.000982675 0.000982675 0.000982675
10 9 1265.6 1.07841 1.38031 1.42465 0.00734 0.64912 0.81474 0.58166 0.62128 0.44278 0.82229 0.5849 0.62012 0.45685 1.02007 1.17441 1.38424 0.01002 0 0.0009802 0.0009802 0.0009802
11 10 1441.74 1.02346 1.37587 1.29397 0.00739 0.60317 0.79137 0.56912 0.61194 0.45046 0.80265 0.57223 0.61239 0.43696 0.93812 1.23345 1.27028 0.0085 0 0.000977725 0.000977725 0.000977725
12 11 1628.43 1.02519 1.32151 1.25144 0.00678 0.57248 0.59263 0.61237 0.62244 0.46225 0.60656 0.59602 0.62392 0.4594 0.96365 1.14685 1.25553 0.00916 0 0.00097525 0.00097525 0.00097525
13 12 1808.2 1.05574 1.33038 1.22127 0.00759 0.59216 0.78902 0.60637 0.62271 0.45817 0.76479 0.61911 0.62067 0.45578 0.99126 1.12356 1.18029 0.00929 0 0.000972775 0.000972775 0.000972775
14 13 2003.59 1.00518 1.30051 1.19654 0.00693 0.57607 0.79847 0.60181 0.62082 0.46064 0.79762 0.6127 0.61786 0.46429 0.90169 1.09194 1.15069 0.00812 0 0.0009703 0.0009703 0.0009703
15 14 2182.16 1.00718 1.30911 1.1651 0.00707 0.56859 0.62335 0.63598 0.63401 0.45532 0.57255 0.6163 0.61896 0.45535 0.95245 1.10783 1.19298 0.00873 0 0.000967825 0.000967825 0.000967825
16 15 2352.55 1.01113 1.3219 1.15463 0.00688 0.56555 0.71356 0.5689 0.64129 0.4717 0.64902 0.62461 0.64882 0.48016 0.92419 1.08098 1.07121 0.0084 0 0.00096535 0.00096535 0.00096535
17 16 2523.3 0.99514 1.27627 1.10171 0.00677 0.5215 0.63731 0.59928 0.63232 0.46849 0.63459 0.59637 0.62797 0.46716 0.90767 1.05728 1.04599 0.00791 0 0.000962875 0.000962875 0.000962875
18 17 2703.24 1.00192 1.31551 1.12825 0.00662 0.56248 0.7213 0.63613 0.62482 0.4642 0.70261 0.653 0.62712 0.46302 0.94185 1.05408 1.0493 0.00885 0 0.0009604 0.0009604 0.0009604
19 18 2866.21 0.98164 1.27752 1.1118 0.00683 0.58522 0.83304 0.60064 0.64703 0.47712 0.83078 0.60364 0.65493 0.47081 0.91501 1.0508 0.96326 0.00859 0 0.000957925 0.000957925 0.000957925
20 19 3041.69 0.94444 1.23722 1.02981 0.00667 0.54414 0.57382 0.61623 0.64017 0.47335 0.58585 0.62133 0.63477 0.46316 0.84634 1.05012 0.95673 0.00729 0 0.00095545 0.00095545 0.00095545
21 20 3216.66 0.98399 1.25996 1.04267 0.00673 0.55208 0.58831 0.62812 0.63558 0.46693 0.57743 0.62268 0.63534 0.46119 0.86192 1.10479 0.93812 0.00751 0 0.000952975 0.000952975 0.000952975
22 21 3381.72 0.97718 1.24546 1.02428 0.00686 0.53858 0.67569 0.61111 0.64093 0.47947 0.72009 0.6151 0.63945 0.47091 0.89054 1.07672 0.97267 0.00779 0 0.0009505 0.0009505 0.0009505
23 22 3552.94 0.95919 1.22977 0.99771 0.00665 0.53249 0.82227 0.61464 0.63793 0.47782 0.81966 0.61218 0.63058 0.46061 0.86731 1.10944 0.95465 0.00791 0 0.000948025 0.000948025 0.000948025
24 23 3720.15 0.96515 1.25796 1.02743 0.00681 0.53702 0.77884 0.62257 0.62888 0.47256 0.78229 0.62468 0.63188 0.4748 0.89911 1.01642 0.93299 0.00798 0 0.00094555 0.00094555 0.00094555
25 24 3876.74 0.95919 1.23855 0.99734 0.00672 0.54585 0.87598 0.58535 0.64864 0.48885 0.87535 0.58081 0.65041 0.47732 0.86387 1.06928 0.90182 0.00764 0 0.000943075 0.000943075 0.000943075
26 25 4033.48 0.93991 1.21032 0.9719 0.00677 0.54318 0.5858 0.61778 0.63612 0.47488 0.64468 0.62753 0.63807 0.45272 0.86589 1.09784 0.92436 0.00737 0 0.0009406 0.0009406 0.0009406
27 26 4194.48 0.9594 1.21133 0.96847 0.00681 0.54174 0.83516 0.59389 0.64076 0.48382 0.56909 0.64431 0.64787 0.4703 0.88626 1.05495 0.85667 0.00783 0 0.000938125 0.000938125 0.000938125
28 27 4352.61 0.94959 1.25422 0.95978 0.00632 0.53151 0.58905 0.61811 0.63939 0.48025 0.59456 0.62024 0.64 0.46712 0.88484 1.05639 0.91348 0.00795 0 0.00093565 0.00093565 0.00093565
29 28 4508.15 0.97804 1.2491 0.97124 0.00678 0.54236 0.6685 0.61179 0.65279 0.4931 0.7332 0.62126 0.6531 0.49259 0.8519 1.03366 0.89065 0.00763 0 0.000933175 0.000933175 0.000933175
30 29 4670.41 0.9379 1.2405 0.93359 0.00602 0.53373 0.6194 0.6116 0.63293 0.48363 0.67862 0.62802 0.6343 0.48393 0.87047 1.0302 0.90327 0.00738 0 0.0009307 0.0009307 0.0009307
31 30 4823.71 0.96598 1.25734 0.97781 0.00655 0.52695 0.60617 0.62657 0.65023 0.49393 0.86063 0.60328 0.64839 0.48125 0.84866 1.00675 0.87532 0.0076 0 0.000928225 0.000928225 0.000928225
32 31 4975.31 0.93676 1.21534 0.9249 0.00652 0.54 0.81764 0.61534 0.64401 0.47095 0.81123 0.61527 0.63636 0.4748 0.89852 1.03718 0.88249 0.00849 0 0.00092575 0.00092575 0.00092575
33 32 5124.95 0.96278 1.22592 0.9422 0.00637 0.53638 0.61742 0.59195 0.63365 0.47225 0.62562 0.61666 0.62653 0.47719 0.89078 1.06646 0.88533 0.00805 0 0.000923275 0.000923275 0.000923275
34 33 5267.19 0.94466 1.20631 0.93701 0.00663 0.5047 0.61806 0.62847 0.63497 0.48145 0.61651 0.66032 0.64113 0.47364 0.83049 1.01307 0.89016 0.00736 0 0.0009208 0.0009208 0.0009208
35 34 5421.86 0.92153 1.20967 0.92129 0.00635 0.52673 0.62662 0.62342 0.63358 0.48402 0.62773 0.62527 0.63559 0.48611 0.89669 0.9978 0.9017 0.00907 0 0.000918325 0.000918325 0.000918325
36 35 5570.37 0.95191 1.20566 0.91098 0.00643 0.49964 0.62926 0.64195 0.64564 0.5008 0.60441 0.6663 0.65228 0.47128 0.84335 1.07066 0.83492 0.00748 0 0.00091585 0.00091585 0.00091585
37 36 5704.78 0.93854 1.22099 0.91869 0.0064 0.49921 0.70274 0.62755 0.65801 0.49204 0.69772 0.63479 0.6522 0.48216 0.86788 1.01886 0.85022 0.00757 0 0.000913375 0.000913375 0.000913375
38 37 5849.64 0.89067 1.18113 0.89575 0.00634 0.50866 0.61974 0.60516 0.63958 0.47994 0.62845 0.62284 0.64186 0.47595 0.89085 1.00576 0.87014 0.00822 0 0.0009109 0.0009109 0.0009109
39 38 5995.56 0.90572 1.20213 0.91314 0.00607 0.52357 0.68153 0.62905 0.65543 0.50482 0.68782 0.62699 0.65358 0.47398 0.85415 1.0614 0.8345 0.00757 0 0.000908425 0.000908425 0.000908425
40 39 6268.79 0.91641 1.20456 0.86397 0.00627 0.51417 0.7423 0.60427 0.65659 0.49789 0.74221 0.60323 0.65022 0.47934 0.82727 1.07094 0.86307 0.00725 0 0.00090595 0.00090595 0.00090595
41 40 6528.06 0.91513 1.19756 0.86263 0.0061 0.49686 0.67591 0.57245 0.63637 0.49365 0.69637 0.56771 0.63594 0.48393 0.83292 1.068 0.85399 0.00719 0 0.000903475 0.000903475 0.000903475
42 41 6846.02 0.89639 1.14588 0.86173 0.00625 0.50882 0.64886 0.61686 0.64747 0.49892 0.65328 0.61735 0.63955 0.47814 0.80816 1.06358 0.82955 0.0072 0 0.000901 0.000901 0.000901
43 42 7143.26 0.8892 1.16111 0.8571 0.00587 0.50672 0.78356 0.61135 0.64602 0.50265 0.77987 0.62291 0.64701 0.48693 0.80202 1.15349 0.84487 0.00688 0 0.000898525 0.000898525 0.000898525
44 43 7465.7 0.87995 1.1601 0.84547 0.00598 0.48057 0.65721 0.60047 0.64497 0.49399 0.65713 0.60096 0.64261 0.48441 0.85 1.0294 0.84198 0.00754 0 0.00089605 0.00089605 0.00089605
45 44 7778.88 0.91937 1.15125 0.86212 0.00633 0.50656 0.63297 0.62801 0.64055 0.49097 0.68441 0.64193 0.64222 0.48305 0.89141 1.00213 0.8358 0.00833 0 0.000893575 0.000893575 0.000893575
46 45 8076.59 0.88984 1.14911 0.82777 0.00598 0.47767 0.66458 0.61171 0.65312 0.50214 0.6485 0.62977 0.64728 0.4747 0.82789 1.0377 0.83152 0.00747 0 0.0008911 0.0008911 0.0008911
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52 51 9809.19 0.88688 1.12287 0.83386 0.00562 0.49723 0.65013 0.61382 0.65531 0.50163 0.67169 0.63506 0.6595 0.48766 0.85189 1.05515 0.79615 0.00753 0 0.00087625 0.00087625 0.00087625
53 52 10115.2 0.8779 1.11989 0.83185 0.00594 0.49977 0.58336 0.66375 0.6611 0.50703 0.62327 0.63594 0.66345 0.49223 0.83335 0.98739 0.79668 0.00715 0 0.000873775 0.000873775 0.000873775
54 53 10460.1 0.89461 1.13505 0.84579 0.00591 0.49307 0.64717 0.62917 0.6338 0.49064 0.63993 0.63405 0.64341 0.47495 0.82404 1.00476 0.83551 0.00706 0 0.0008713 0.0008713 0.0008713
55 54 10792.6 0.89428 1.1218 0.8077 0.00592 0.46953 0.76 0.63133 0.65137 0.48935 0.74549 0.6258 0.64802 0.49384 0.86961 1.02337 0.81715 0.00745 0 0.000868825 0.000868825 0.000868825
56 55 11077.6 0.8924 1.09698 0.79021 0.00597 0.46948 0.64554 0.64413 0.65435 0.50124 0.65223 0.64505 0.65931 0.48538 0.82262 0.99641 0.84018 0.00715 0 0.00086635 0.00086635 0.00086635
57 56 11350.8 0.88101 1.14273 0.84443 0.00589 0.50783 0.67129 0.62575 0.64428 0.48952 0.68863 0.62892 0.64385 0.47801 0.82236 0.99363 0.86309 0.00698 0 0.000863875 0.000863875 0.000863875
58 57 11637.9 0.87785 1.09971 0.80187 0.00553 0.46305 0.61969 0.63697 0.64113 0.49557 0.62707 0.63885 0.64363 0.47825 0.8252 1.01768 0.81598 0.00744 0 0.0008614 0.0008614 0.0008614
59 58 11943.3 0.9076 1.12052 0.80664 0.00586 0.47489 0.6357 0.64531 0.64897 0.49468 0.64618 0.6539 0.6501 0.48501 0.83839 0.97063 0.77436 0.00751 0 0.000858925 0.000858925 0.000858925
60 59 12314 0.86165 1.13653 0.80542 0.00573 0.46399 0.69266 0.61363 0.64568 0.49367 0.59708 0.67468 0.64216 0.47455 0.82163 1.00513 0.83396 0.00741 0 0.00085645 0.00085645 0.00085645
61 60 12761.6 0.87191 1.1299 0.78862 0.00576 0.47282 0.68536 0.63339 0.66115 0.50426 0.69723 0.63473 0.65405 0.48839 0.79105 1.00814 0.79553 0.00686 0 0.000853975 0.000853975 0.000853975
62 61 13383.1 0.88401 1.07238 0.79277 0.00578 0.46277 0.62699 0.64036 0.63438 0.48506 0.64393 0.65477 0.6426 0.48065 0.8105 1.01883 0.76286 0.00719 0 0.0008515 0.0008515 0.0008515
63 62 14001.5 0.85471 1.09397 0.77239 0.00572 0.47185 0.67863 0.62395 0.64147 0.50452 0.67991 0.62532 0.6341 0.49478 0.79466 0.98734 0.81768 0.00675 0 0.000849025 0.000849025 0.000849025
64 63 14565.3 0.86606 1.07875 0.79459 0.00573 0.46731 0.58021 0.61849 0.64223 0.49312 0.58253 0.61919 0.63447 0.4812 0.80865 0.97333 0.81399 0.0071 0 0.00084655 0.00084655 0.00084655
65 64 15192.6 0.86273 1.1089 0.76685 0.00557 0.48979 0.56389 0.70833 0.6524 0.50019 0.56657 0.70663 0.64515 0.48721 0.82004 0.97696 0.79678 0.00724 0 0.000844075 0.000844075 0.000844075
66 65 15840.2 0.87964 1.12745 0.77861 0.0057 0.4857 0.70074 0.60631 0.64393 0.49396 0.71052 0.61134 0.65246 0.48618 0.83441 0.99824 0.81843 0.00725 0 0.0008416 0.0008416 0.0008416
67 66 16468.8 0.84998 1.09526 0.76702 0.00549 0.48002 0.80572 0.61727 0.65086 0.50287 0.81388 0.62442 0.64462 0.48932 0.78546 0.99352 0.78193 0.00661 0 0.000839125 0.000839125 0.000839125
68 67 17099.9 0.82972 1.09314 0.77794 0.00551 0.45993 0.66105 0.59078 0.64525 0.49278 0.56987 0.64473 0.64427 0.48107 0.84771 1.02471 0.78429 0.00758 0 0.00083665 0.00083665 0.00083665
69 68 17915 0.85449 1.09915 0.76894 0.00551 0.47945 0.57207 0.61162 0.63476 0.49342 0.58014 0.63305 0.63156 0.48179 0.80866 0.97505 0.79615 0.00694 0 0.000834175 0.000834175 0.000834175
70 69 18414.3 0.84041 1.05347 0.73793 0.00551 0.47896 0.67645 0.60951 0.66094 0.50259 0.64586 0.65111 0.66135 0.49405 0.82142 0.97646 0.76598 0.00702 0 0.0008317 0.0008317 0.0008317
71 70 18875.9 0.84218 1.04902 0.77291 0.00534 0.45058 0.60254 0.67579 0.65422 0.50388 0.6039 0.64482 0.64228 0.48836 0.79378 1.03094 0.78402 0.00692 0 0.000829225 0.000829225 0.000829225
72 71 19344.1 0.8664 1.07246 0.77947 0.00558 0.46676 0.75083 0.6257 0.65581 0.50163 0.79473 0.62253 0.65509 0.49079 0.82134 0.98255 0.79908 0.00706 0 0.00082675 0.00082675 0.00082675
73 72 19810.5 0.84555 1.0953 0.75882 0.00574 0.48145 0.63202 0.67853 0.66235 0.50738 0.63437 0.64909 0.65862 0.49433 0.80873 1.03194 0.80299 0.00696 0 0.000824275 0.000824275 0.000824275
74 73 20329.5 0.84587 1.0797 0.73858 0.00521 0.45821 0.65457 0.67609 0.65657 0.5079 0.65861 0.68102 0.65575 0.49525 0.7828 1.0047 0.75742 0.00687 0 0.0008218 0.0008218 0.0008218
75 74 20788.3 0.86698 1.0885 0.76369 0.00572 0.49147 0.60078 0.68458 0.66247 0.50864 0.59665 0.68189 0.65688 0.4872 0.8232 1.01599 0.75905 0.00726 0 0.000819325 0.000819325 0.000819325
76 75 21308.8 0.86277 1.08775 0.78501 0.00545 0.47187 0.68127 0.64754 0.67187 0.51563 0.67999 0.64617 0.66487 0.49926 0.78725 1.00044 0.7209 0.00677 0 0.00081685 0.00081685 0.00081685
77 76 21741.2 0.8617 1.07876 0.75653 0.00536 0.4614 0.59985 0.68518 0.64373 0.5015 0.59673 0.67056 0.63601 0.47687 0.82119 1.00334 0.75027 0.0074 0 0.000814375 0.000814375 0.000814375
78 77 22229.8 0.84924 1.07078 0.73062 0.0056 0.4511 0.66149 0.65408 0.66441 0.51192 0.68024 0.66735 0.67377 0.50103 0.82441 1.02018 0.73001 0.00722 0 0.0008119 0.0008119 0.0008119
79 78 22693.6 0.85639 1.08209 0.76362 0.00545 0.47773 0.59603 0.64573 0.64838 0.50521 0.59856 0.66228 0.64445 0.48509 0.77397 1.00194 0.75436 0.00664 0 0.000809425 0.000809425 0.000809425
80 79 23179.4 0.84192 1.05908 0.75625 0.00543 0.44914 0.584 0.66889 0.6306 0.49952 0.57982 0.65611 0.62046 0.47263 0.79408 1.01475 0.76909 0.00667 0 0.00080695 0.00080695 0.00080695
81 80 23677.2 0.88775 1.14797 0.79739 0.00601 0.47261 0.60708 0.63102 0.65323 0.5051 0.59874 0.63758 0.64867 0.48547 0.79811 1.03357 0.77877 0.00673 0 0.000804475 0.000804475 0.000804475
82 81 24502.9 0.84191 1.04304 0.72235 0.00546 0.45004 0.63937 0.66961 0.66007 0.50608 0.63814 0.6685 0.6493 0.48591 0.80205 0.99463 0.76115 0.00697 0 0.000802 0.000802 0.000802
83 82 25374.5 0.83811 1.07004 0.74234 0.00525 0.43785 0.61315 0.6579 0.64484 0.50145 0.60873 0.65199 0.63777 0.48477 0.78556 1.00336 0.78072 0.00675 0 0.000799525 0.000799525 0.000799525
@@ -0,0 +1,38 @@
{
"overall": {
"tp": 525,
"fp": 112,
"fn": 92,
"precision": 0.8241758241758241,
"recall": 0.8508914100486223,
"f1": 0.8373205741626794,
"mean_mask_iou": 0.8870040925806948,
"n_matched": 525
},
"gate": {
"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
},
"training": {
"epochs_run": 244,
"precision(B)": 0.68658,
"recall(B)": 0.63224,
"mAP50(B)": 0.66899,
"mAP50-95(B)": 0.52395,
"precision(M)": 0.67622,
"recall(M)": 0.62469,
"mAP50(M)": 0.65715,
"mAP50-95(M)": 0.49993
},
"version": "yolo26n-seg-v3-noflip-mask1-2026-09-30",
"measured_at": "2026-09-30T13:55:59"
}
+27 -3
View File
@@ -2,7 +2,7 @@
"id": "2026-09-29_v3-noflip-mask1",
"dataset": "dataset/2026-09-29_v3",
"base_weights": "models/base/yolo26n-seg.pt",
"status": "training",
"status": "promoted",
"created": "2026-09-29T22:41:13",
"created_by": "jungfrau@mx-spark-01",
"hyperparams": {
@@ -22,8 +22,14 @@
"perspective": 0.0,
"mask_ratio": 1
},
"version": null,
"metrics": {},
"version": "yolo26n-seg-v3-noflip-mask1-2026-09-30",
"metrics": {
"f1": 0.8373205741626794,
"mean_mask_iou": 0.8870040925806948,
"gate_pass": true,
"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-alc-v1-noflip-mask1-2026-09-29/gold_report.json",
"measured_at": "2026-09-30T13:55:59"
},
"history": [
{
"status": "exported",
@@ -42,6 +48,24 @@
"at": "2026-09-30T07:12:16",
"by": "jungfrau@mx-spark-01",
"note": "train_run.py"
},
{
"status": "measured",
"at": "2026-09-30T13:55:59",
"by": "jungfrau@mx-spark-01",
"note": ""
},
{
"status": "gate_passed",
"at": "2026-09-30T13:55:59",
"by": "jungfrau@mx-spark-01",
"note": "{\"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}"
},
{
"status": "promoted",
"at": "2026-09-30T13:55:59",
"by": "jungfrau@mx-spark-01",
"note": "by the gate"
}
],
"host": "mx-spark-01",
+23 -2
View File
@@ -11,10 +11,13 @@ Generated by `python tools/ledger.py render`; do not edit by hand.
| 2026-09-28_alc-v1-noflip | gate_passed | dataset/2026-09-28_alc-v1 | /home/jungfrau/AareLC/models/yolo26n-seg.pt | yolo26n-seg-alc-v1-noflip-2026-09-28 | 0.835 | 0.881 | yes | 2026-09-28T21:30 |
| 2026-09-28_alc-v1-overlap | aborted | dataset/2026-09-28_alc-v1 | /home/jungfrau/AareLC/models/yolo26n-seg.pt | - | - | - | - | 2026-09-28T23:55 |
| 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 | exported | dataset/2026-09-29_v2 | models/base/yolo26n-seg.pt | - | - | - | - | 2026-09-29T17:06 |
| 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 | exported | dataset/2026-09-29_v3 | models/base/yolo26n-seg.pt | - | - | - | - | 2026-09-29T22:41 |
| 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-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 |
States: exported → queued → training → measured → gate_passed → gate_failed → promoted → deployed (or aborted).
@@ -76,6 +79,7 @@ States: exported → queued → training → measured → gate_passed → gate_f
## 2026-09-29_v2-noflip-mask1
- 2026-09-29T17:06:19 · exported · jungfrau@mx-spark-01 — default recipe (no flip, full-resolution masks) on dataset v2: to be trained on the cluster with sbatch slurm/train.sbatch
- 2026-09-30T07:16:27 · aborted · jungfrau@mx-spark-01 — superseded: dataset v3 exists, cluster runs registered on it instead
## 2026-09-29_v2-recipeA
@@ -87,6 +91,11 @@ States: exported → queued → training → measured → gate_passed → gate_f
## 2026-09-29_v3-noflip-mask1
- 2026-09-29T22:41:13 · exported · jungfrau@mx-spark-01 — promoted recipe (fliplr 0, mask_ratio 1) on dataset v3: candidate for the beamlines, Spark
- 2026-09-29T23:42:41 · training · jungfrau@mx-spark-01 — train_run.py
- 2026-09-30T07:12:16 · training · jungfrau@mx-spark-01 — train_run.py
- 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
## 2026-09-29_v3-recipeA
@@ -96,3 +105,15 @@ States: exported → queued → training → measured → gate_passed → gate_f
- 2026-09-29T22:48:37 · training · jungfrau@mx-spark-01 — train_run.py
- 2026-09-29T23:42:37 · measured · jungfrau@mx-spark-01
- 2026-09-29T23:42:37 · 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": 0.0221, "mask_iou_delta": 0.0074, "mask_score": 0.741, "mask_score_baseline": 0.7337, "matched_only_iou_delta": -0.0101, "class_f1_delta": {"loop_all": 0.0446, "pin": 0.0057}, "pass": true}
## 2026-09-30_v3-n-1024px
- 2026-09-30T07:17:45 · exported · jungfrau@mx-spark-01 — cluster: resolution lever, nano at 1024 px, default recipe (no flip, full-resolution masks)
## 2026-09-30_v3-s-1024px
- 2026-09-30T07:17:45 · exported · jungfrau@mx-spark-01 — cluster: both levers, small model at 1024 px, default recipe
## 2026-09-30_v3-s-640px
- 2026-09-30T07:17:45 · exported · jungfrau@mx-spark-01 — cluster: capacity lever, small model at 640 px, default recipe