Experiment overview
| Setting | Value |
|---|
| Model for non-random steps | BOTORCH_MODULAR |
| Max. nr. evaluations | 500 |
| Number random steps | 20 |
| Nr. of workers (parameter) | 20 |
| Main process memory (GB) | 20 |
| Worker memory (GB) | 40 |
Best VAL_ACC, max (total: 108, failed: 1)
| OO_Info_SLURM_JOB_ID | NORMALIZED_RUNTIME | epochs | lr | batch_size | hidden_size | num_dense_layers | num_conv_layers | filter | VAL_ACC |
|---|
| 1107133.0 | 18.862 | 129 | 0.000419171395348385 | 767 | 1546 | 3 | 3 | 43 | 52.48 |
Job Summary per Generation Node
| Generation Node | Total | ABANDONED | COMPLETED | FAILED |
|---|
| SOBOL | 40 | 0 | 39 | 1 |
| BOTORCH_MODULAR | 75 | 6 | 69 | 0 |
Experiment parameters
| Name | Type | Lower bound | Upper bound | Type | Log Scale? |
|---|
| epochs | range | 10 | 300 | int | No |
| lr | range | 1e-05 | 0.001 | float | No |
| batch_size | range | 8 | 1024 | int | No |
| hidden_size | range | 8 | 2048 | int | No |
| num_dense_layers | range | 1 | 3 | int | No |
| num_conv_layers | range | 1 | 3 | int | No |
| filter | range | 1 | 48 | int | No |
Number of evaluations
| Failed |
Succeeded |
Running |
Total |
| 1 |
108 |
0 |
115 |
Result names and types
| name | min/max |
|---|
| VAL_ACC |
max |
| NORMALIZED_RUNTIME |
min |
Last progressbar status
2025-10-22 20:46:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, 50 empty jobs (>= 50)
Git-Version
Commit: a930bb4de62394fc41915ce2d0204da115ac6422 (8731-9-ga930bb4de)
trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,VAL_ACC,NORMALIZED_RUNTIME,epochs,lr,batch_size,hidden_size,num_dense_layers,num_conv_layers,filter
0,1761135025,91,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135116,1761137285,2169,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 209 --learning_rate 0.00001779449738562107 --batch_size 907 --hidden_size 1443 --num_dense_layers 2 --num_conv_layers 2 --filter 34,0,,c127,1107131,0_0,COMPLETED,SOBOL,28.35999999999999943156581139192,30.022999999999999687361196265556,209,0.000017794497385621072286458061,907,1443,2,2,34
1,1761135025,96,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135121,1761135674,553,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 41 --learning_rate 0.00062319160394370553 --batch_size 76 --hidden_size 710 --num_dense_layers 3 --num_conv_layers 3 --filter 8,0,,c43,1107135,1_0,COMPLETED,SOBOL,40.42000000000000170530256582424,7.48000000000000042632564145606,41,0.000623191603943705528870222743,76,710,3,3,8
2,1761135025,94,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135119,1761136492,1373,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 129 --learning_rate 0.00041917139534838503 --batch_size 767 --hidden_size 1546 --num_dense_layers 3 --num_conv_layers 3 --filter 43,0,,c98,1107133,2_0,COMPLETED,SOBOL,52.479999999999996873611962655559,18.861999999999998323119143606164,129,0.000419171395348385026572574086,767,1546,3,3,43
3,1761135025,30,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135055,1761138066,3011,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 261 --learning_rate 0.00095887529154308144 --batch_size 312 --hidden_size 365 --num_dense_layers 1 --num_conv_layers 1 --filter 23,0,,c122,1107124,3_0,COMPLETED,SOBOL,30.03999999999999914734871708788,41.622999999999997555732988985255,261,0.00095887529154308143511387108,312,365,1,1,23
4,1761135025,96,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135121,1761138184,3063,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 270 --learning_rate 0.00032650241808965805 --batch_size 140 --hidden_size 207 --num_dense_layers 1 --num_conv_layers 2 --filter 37,0,,c139,1107129,4_0,COMPLETED,SOBOL,35.82000000000000028421709430404,42.341000000000001080024958355352,270,0.000326502418089658053533541615,140,207,1,2,37
5,1761135025,81,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135106,1761136177,1071,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00080380274476483471 --batch_size 846 --hidden_size 1960 --num_dense_layers 2 --num_conv_layers 2 --filter 16,0,,c131,1107130,5_0,COMPLETED,SOBOL,45.450000000000002842170943040401,14.714000000000000412114786740858,102,0.000803802744764834709891021536,846,1960,2,2,16
6,1761135025,67,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135092,1761135642,550,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 49 --learning_rate 0.00023469678456895053 --batch_size 504 --hidden_size 869 --num_dense_layers 3 --num_conv_layers 3 --filter 28,0,,c18,1107128,6_0,COMPLETED,SOBOL,46.450000000000002842170943040401,7.381999999999999673150341550354,49,0.000234696784568950528272399114,504,869,3,3,28
7,1761135025,91,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135116,1761136909,1793,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 181 --learning_rate 0.00065403072278015322 --batch_size 577 --hidden_size 1029 --num_dense_layers 1 --num_conv_layers 1 --filter 2,0,,c127,1107132,7_0,COMPLETED,SOBOL,26.57999999999999829469743417576,24.696999999999999175770426518284,181,0.000654030722780153217325860293,577,1029,1,1,2
8,1761135025,66,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135091,1761136892,1801,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 158 --learning_rate 0.00049255262023769318 --batch_size 444 --hidden_size 1909 --num_dense_layers 3 --num_conv_layers 1 --filter 42,0,,c121,1107126,8_0,COMPLETED,SOBOL,40.700000000000002842170943040401,24.803000000000000824229573481716,158,0.000492552620237693178535665073,444,1909,3,1,42
9,1761135025,39,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135064,1761135814,750,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.00087763903013430536 --batch_size 636 --hidden_size 28 --num_dense_layers 2 --num_conv_layers 3 --filter 15,0,,c92,1107125,9_0,COMPLETED,SOBOL,1,10.189000000000000056843418860808,71,0.000877639030134305360777990934,636,28,2,3,15
10,1761135025,71,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135096,1761136091,995,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00009903081780299544 --batch_size 200 --hidden_size 1239 --num_dense_layers 1 --num_conv_layers 2 --filter 27,0,,c26,1107127,10_0,COMPLETED,SOBOL,44.28000000000000113686837721616,13.53500000000000014210854715202,87,0.000099030817802995440473148858,200,1239,1,2,27
11,1761135025,23,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135048,1761137836,2788,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 283 --learning_rate 0.00054981020202860237 --batch_size 786 --hidden_size 951 --num_dense_layers 2 --num_conv_layers 2 --filter 5,0,,c131,1107123,11_0,COMPLETED,SOBOL,36.659999999999996589394868351519,38.575000000000002842170943040401,283,0.00054981020202860236660569182,786,951,2,2,5
12,1761135025,82,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135107,1761137502,2395,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 239 --learning_rate 0.00019218331151641906 --batch_size 700 --hidden_size 538 --num_dense_layers 2 --num_conv_layers 1 --filter 33,0,,c48,1107134,12_0,COMPLETED,SOBOL,32.67000000000000170530256582424,33.118999999999999772626324556768,239,0.000192183311516419064526872695,700,538,2,1,33
13,1761135025,83,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135108,1761136717,1609,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 153 --learning_rate 0.00070439970442093909 --batch_size 379 --hidden_size 1397 --num_dense_layers 1 --num_conv_layers 3 --filter 11,0,,c35,1107136,13_0,COMPLETED,SOBOL,45.979999999999996873611962655559,22.21999999999999886313162278384,153,0.00070439970442093908977593264,379,1397,1,3,11
14,1761135025,84,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135109,1761135433,324,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.00027613361347466708 --batch_size 975 --hidden_size 442 --num_dense_layers 1 --num_conv_layers 2 --filter 48,0,,c27,1107138,14_0,COMPLETED,SOBOL,37.42000000000000170530256582424,4.338000000000000078159700933611,28,0.000276133613474667082964691955,975,442,1,2,48
15,,,,,,,,,,,,15_0,FAILED,SOBOL,,,223,0.000846316158808767845904419413,8,1751,3,1,21
16,1761135025,110,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135135,1761137242,2107,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 210 --learning_rate 0.00031690971757285301 --batch_size 606 --hidden_size 833 --num_dense_layers 1 --num_conv_layers 3 --filter 8,0,,c104,1107140,16_0,COMPLETED,SOBOL,36.96000000000000085265128291212,29.11499999999999843680598132778,210,0.000316909717572853009449895811,606,833,1,3,8
17,1761135025,111,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135136,1761135323,187,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 14 --learning_rate 0.00082910713921301074 --batch_size 409 --hidden_size 1121 --num_dense_layers 3 --num_conv_layers 1 --filter 36,0,,c118,1107139,17_0,COMPLETED,SOBOL,24.53000000000000113686837721616,2.524000000000000021316282072803,14,0.000829107139213010736582265547,409,1121,3,1,36
18,1761135026,116,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135142,1761136582,1440,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 144 --learning_rate 0.00015141520308330656 --batch_size 814 --hidden_size 163 --num_dense_layers 3 --num_conv_layers 1 --filter 23,0,,c77,1107141,18_0,COMPLETED,SOBOL,10.46000000000000085265128291212,19.803999999999998493649400188588,144,0.000151415203083306559297613325,814,163,3,1,23
19,1761135026,111,71e90e84-0653-49fa-93c3-29ef26cacb94,1761135137,1761137772,2635,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 231 --learning_rate 0.00072160167248919605 --batch_size 233 --hidden_size 2043 --num_dense_layers 2 --num_conv_layers 2 --filter 45,0,,c18,1107142,19_0,COMPLETED,SOBOL,48.82999999999999829469743417576,36.503999999999997783106664428487,231,0.000721601672489196048661252991,233,2043,2,2,45
20,1761140634,17,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140651,1761143747,3096,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 296 --learning_rate 0.00012034922753460705 --batch_size 347 --hidden_size 1630 --num_dense_layers 1 --num_conv_layers 3 --filter 17,0,,c36,1108601,20_0,COMPLETED,SOBOL,44.299999999999997157829056959599,42.828000000000002955857780762017,296,0.000120349227534607050495857328,347,1630,1,3,17
21,1761140634,7,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140641,1761141676,1035,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00050540905405767268 --batch_size 671 --hidden_size 321 --num_dense_layers 3 --num_conv_layers 1 --filter 39,0,,c47,1108600,21_0,COMPLETED,SOBOL,12.40000000000000035527136788005,14.243999999999999772626324556768,100,0.000505409054057672684281965481,671,321,3,1,39
22,1761140634,66,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140700,1761141870,1170,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 80 --learning_rate 0.00047124226517975334 --batch_size 42 --hidden_size 1535 --num_dense_layers 2 --num_conv_layers 2 --filter 3,0,,c130,1108607,22_0,COMPLETED,SOBOL,36.740000000000001989519660128281,16.152999999999998692601366201416,80,0.000471242265179753344606083942,42,1535,2,2,3
23,1761140634,50,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140684,1761142394,1710,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 166 --learning_rate 0.00092203306756913665 --batch_size 1006 --hidden_size 674 --num_dense_layers 1 --num_conv_layers 3 --filter 30,0,,c85,1108604,23_0,COMPLETED,SOBOL,48.32999999999999829469743417576,23.560999999999999943156581139192,166,0.000922033067569136646247918154,1006,674,1,3,30
24,1761140634,5,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140639,1761142829,2190,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 188 --learning_rate 0.00020177637714892627 --batch_size 110 --hidden_size 494 --num_dense_layers 2 --num_conv_layers 2 --filter 14,0,,c135,1108597,24_0,COMPLETED,SOBOL,40.689999999999997726263245567679,30.298999999999999488409230252728,188,0.000201776377148926266535261531,110,494,2,2,14
25,1761140634,5,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140639,1761141260,621,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 57 --learning_rate 0.00067909543905407196 --batch_size 939 --hidden_size 1675 --num_dense_layers 1 --num_conv_layers 2 --filter 40,0,,c98,1108598,25_0,COMPLETED,SOBOL,44.3500000000000014210854715202,8.541000000000000369482222595252,57,0.00067909543905407196429102612,939,1675,1,2,40
26,1761140634,8,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140642,1761141806,1164,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00035941577398218219 --batch_size 279 --hidden_size 597 --num_dense_layers 2 --num_conv_layers 1 --filter 5,0,,c53,1108599,26_0,COMPLETED,SOBOL,28.51999999999999957367435854394,16.041000000000000369482222595252,113,0.000359415773982182191938899996,279,597,2,1,5
27,1761140634,98,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140732,1761143637,2905,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 281 --learning_rate 0.00077874602415598936 --batch_size 738 --hidden_size 1329 --num_dense_layers 3 --num_conv_layers 3 --filter 25,0,,c112,1108608,27_0,COMPLETED,SOBOL,50.5,40.268999999999998351540853036568,281,0.000778746024155989357076745883,738,1329,3,3,25
28,1761140634,51,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140685,1761143282,2597,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 254 --learning_rate 0.000389998233076185 --batch_size 874 --hidden_size 1171 --num_dense_layers 3 --num_conv_layers 3 --filter 10,0,,c136,1108603,28_0,COMPLETED,SOBOL,39.92000000000000170530256582424,35.832000000000000738964445190504,254,0.000389998233076184995515856002,874,1171,3,3,10
29,1761140634,100,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140734,1761142104,1370,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 122 --learning_rate 0.00099542168697342283 --batch_size 173 --hidden_size 1011 --num_dense_layers 2 --num_conv_layers 2 --filter 31,0,,c112,1108609,29_0,COMPLETED,SOBOL,46.119999999999997442046151263639,18.931000000000000937916411203332,122,0.000995421686973422831928859367,173,1011,2,2,31
30,1761140634,100,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140734,1761141078,344,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00004696054912172258 --batch_size 547 --hidden_size 1834 --num_dense_layers 1 --num_conv_layers 1 --filter 20,0,,c23,1108610,30_0,COMPLETED,SOBOL,32.619999999999997442046151263639,4.661999999999999921840299066389,29,0.000046960549121722577740369042,547,1834,1,1,20
31,1761140634,131,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140765,1761142853,2088,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 197 --learning_rate 0.00058665326318703599 --batch_size 468 --hidden_size 80 --num_dense_layers 2 --num_conv_layers 3 --filter 46,0,,c139,1108612,31_0,COMPLETED,SOBOL,14.72000000000000063948846218409,28.908000000000001250555214937776,197,0.000586653263187035989463524732,468,80,2,3,46
32,1761140634,128,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140762,1761142884,2122,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 195 --learning_rate 0.00043113639088347558 --batch_size 223 --hidden_size 707 --num_dense_layers 1 --num_conv_layers 3 --filter 24,0,,c141,1108611,32_0,COMPLETED,SOBOL,49.53000000000000113686837721616,29.294000000000000483169060316868,195,0.000431136390883475584777373424,223,707,1,3,24
33,1761140634,136,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140770,1761141201,431,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 36 --learning_rate 0.00093990101682022212 --batch_size 792 --hidden_size 1503 --num_dense_layers 3 --num_conv_layers 1 --filter 44,0,,c125,1108614,33_0,COMPLETED,SOBOL,28.55999999999999872102307563182,5.753000000000000113686837721616,36,0.000939901016820222120866368254,792,1503,3,1,44
34,1761140634,128,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140762,1761142048,1286,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 125 --learning_rate 0.00003773191045038402 --batch_size 436 --hidden_size 289 --num_dense_layers 2 --num_conv_layers 2 --filter 9,0,,c118,1108615,34_0,COMPLETED,SOBOL,19,17.71999999999999886313162278384,125,0.000037731910450384024361542012,436,289,2,2,9
35,1761140634,133,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140767,1761143324,2557,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 247 --learning_rate 0.00061219706381671134 --batch_size 611 --hidden_size 1661 --num_dense_layers 1 --num_conv_layers 2 --filter 35,0,,c118,1108616,35_0,COMPLETED,SOBOL,45.28000000000000113686837721616,35.435999999999999943156581139192,247,0.00061219706381671133536837015,611,1661,1,2,35
36,1761140634,36,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140670,1761143403,2733,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 274 --learning_rate 0.00025439237855374818 --batch_size 984 --hidden_size 2011 --num_dense_layers 1 --num_conv_layers 3 --filter 3,0,,c141,1108602,36_0,COMPLETED,SOBOL,24.0500000000000007105427357601,37.811999999999997612576407846063,274,0.000254392378553748175953191923,984,2011,1,3,3
37,1761140635,48,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140683,1761142473,1790,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00064279459960758692 --batch_size 33 --hidden_size 194 --num_dense_layers 3 --num_conv_layers 1 --filter 30,0,,c16,1108605,37_0,COMPLETED,SOBOL,38.28000000000000113686837721616,24.641999999999999459987520822324,115,0.000642794599607586915161749896,33,194,3,1,30
38,1761140635,130,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140765,1761141441,676,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00033870923270471398 --batch_size 677 --hidden_size 1153 --num_dense_layers 3 --num_conv_layers 2 --filter 18,0,,c131,1108613,38_0,COMPLETED,SOBOL,44.21999999999999886313162278384,9.266999999999999459987520822324,63,0.000338709232704713977119004298,677,1153,3,2,18
39,1761140635,81,71e90e84-0653-49fa-93c3-29ef26cacb94,1761140716,1761142694,1978,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 185 --learning_rate 0.0007850700530875474 --batch_size 372 --hidden_size 802 --num_dense_layers 2 --num_conv_layers 3 --filter 38,0,,c154,1108606,39_0,COMPLETED,SOBOL,51.42999999999999971578290569596,27.286000000000001364242052659392,185,0.000785070053087547395885559265,372,802,2,3,38
40,1761143833,120,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143953,1761144108,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052497044292680139 --batch_size 693 --hidden_size 1231 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c137,1109259,40_0,COMPLETED,BOTORCH_MODULAR,41.450000000000002842170943040401,1.943000000000000060396132539609,10,0.000524970442926801393254687689,693,1231,1,3,45
41,1761143833,88,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143921,1761144070,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052416144234853387 --batch_size 688 --hidden_size 1215 --num_dense_layers 1 --num_conv_layers 3 --filter 48,0,,c128,1109253,41_0,COMPLETED,BOTORCH_MODULAR,41.39000000000000056843418860808,1.923000000000000042632564145606,10,0.000524161442348533871890547964,688,1215,1,3,48
42,1761143833,88,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143921,1761144070,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00053176130019860291 --batch_size 699 --hidden_size 1233 --num_dense_layers 1 --num_conv_layers 3 --filter 44,0,,c128,1109252,42_0,COMPLETED,BOTORCH_MODULAR,40.229999999999996873611962655559,1.931000000000000049737991503207,10,0.00053176130019860290767952371,699,1233,1,3,44
43,1761143833,44,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143877,1761144020,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052731607802474054 --batch_size 697 --hidden_size 1231 --num_dense_layers 1 --num_conv_layers 3 --filter 44,0,,c131,1109245,43_0,COMPLETED,BOTORCH_MODULAR,40.729999999999996873611962655559,1.859999999999999875655021241982,10,0.000527316078024740535722114654,697,1231,1,3,44
44,1761143833,75,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143908,1761144058,150,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052480650089203711 --batch_size 696 --hidden_size 1227 --num_dense_layers 1 --num_conv_layers 3 --filter 44,0,,c43,1109254,44_0,COMPLETED,BOTORCH_MODULAR,40.17999999999999971578290569596,1.909000000000000030198066269804,10,0.00052480650089203710606522435,696,1227,1,3,44
45,1761143833,88,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143921,1761144076,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052289574859426188 --batch_size 693 --hidden_size 1228 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c138,1109250,45_0,COMPLETED,BOTORCH_MODULAR,40.92000000000000170530256582424,1.929000000000000047961634663807,10,0.000522895748594261883246403499,693,1228,1,3,45
46,1761143833,43,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143876,1761144019,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052597401259936254 --batch_size 695 --hidden_size 1232 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c23,1109246,46_0,COMPLETED,BOTORCH_MODULAR,40.67999999999999971578290569596,1.886000000000000120792265079217,10,0.000525974012599362541683922778,695,1232,1,3,45
47,1761143833,75,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143908,1761144051,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052473606330382652 --batch_size 695 --hidden_size 1229 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c23,1109258,47_0,COMPLETED,BOTORCH_MODULAR,41.35999999999999943156581139192,1.862000000000000099475983006414,10,0.00052473606330382652120775111,695,1229,1,3,45
48,1761143833,75,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143908,1761144064,156,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052331076867321517 --batch_size 700 --hidden_size 1215 --num_dense_layers 1 --num_conv_layers 3 --filter 46,0,,c38,1109257,48_0,COMPLETED,BOTORCH_MODULAR,40.990000000000001989519660128281,1.911000000000000031974423109205,10,0.000523310768673215169315138251,700,1215,1,3,46
49,1761143833,25,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143858,1761144007,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00051377285827907662 --batch_size 697 --hidden_size 1199 --num_dense_layers 1 --num_conv_layers 3 --filter 48,0,,c49,1109244,49_0,COMPLETED,BOTORCH_MODULAR,41.119999999999997442046151263639,1.874000000000000110134124042816,10,0.000513772858279076620989511692,697,1199,1,3,48
50,1761143833,85,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143918,1761144067,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052786082095952942 --batch_size 696 --hidden_size 1228 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c40,1109255,50_0,COMPLETED,BOTORCH_MODULAR,41.28999999999999914734871708788,1.907000000000000028421709430404,10,0.000527860820959529420011435707,696,1228,1,3,45
51,1761143833,80,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143913,1761144056,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052486967116175233 --batch_size 694 --hidden_size 1230 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c139,1109248,51_0,COMPLETED,BOTORCH_MODULAR,39.479999999999996873611962655559,1.875999999999999889865875957184,10,0.00052486967116175233319386173,694,1230,1,3,45
52,1761143833,88,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143921,1761144076,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052393416753743118 --batch_size 694 --hidden_size 1229 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c138,1109251,52_0,COMPLETED,BOTORCH_MODULAR,39.32999999999999829469743417576,1.891000000000000014210854715202,10,0.000523934167537431182137819263,694,1229,1,3,45
53,1761143833,75,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143908,1761144051,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052400808859787639 --batch_size 693 --hidden_size 1228 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c139,1109247,53_0,COMPLETED,BOTORCH_MODULAR,39.520000000000003126388037344441,1.878000000000000113686837721616,10,0.000524008088597876391968866105,693,1228,1,3,45
54,1761143833,119,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143952,1761144101,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00051968283199071768 --batch_size 696 --hidden_size 1213 --num_dense_layers 1 --num_conv_layers 3 --filter 46,0,,c94,1109261,54_0,COMPLETED,BOTORCH_MODULAR,40.21999999999999886313162278384,1.894000000000000127897692436818,10,0.000519682831990717682829616919,696,1213,1,3,46
55,1761143833,118,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143951,1761144101,150,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052456485580644496 --batch_size 694 --hidden_size 1227 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c42,1109265,55_0,COMPLETED,BOTORCH_MODULAR,38.939999999999997726263245567679,1.901000000000000023092638912203,10,0.000524564855806444957711520694,694,1227,1,3,45
56,1761143834,105,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143939,1761144094,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052349134442836469 --batch_size 693 --hidden_size 1227 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c21,1109266,56_0,COMPLETED,BOTORCH_MODULAR,40.659999999999996589394868351519,1.885000000000000008881784197001,10,0.000523491344428364687411947553,693,1227,1,3,45
57,1761143834,117,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143951,1761144106,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00053691585341659955 --batch_size 664 --hidden_size 1393 --num_dense_layers 2 --num_conv_layers 3 --filter 42,0,,c82,1109264,57_0,COMPLETED,BOTORCH_MODULAR,41.03000000000000113686837721616,1.954000000000000181188397618826,10,0.000536915853416599546735210602,664,1393,2,3,42
58,1761143834,105,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143939,1761144088,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052277996176343616 --batch_size 693 --hidden_size 1226 --num_dense_layers 1 --num_conv_layers 3 --filter 45,0,,c116,1109260,58_0,COMPLETED,BOTORCH_MODULAR,39.909999999999996589394868351519,1.921000000000000040856207306206,10,0.00052277996176343616112347501,693,1226,1,3,45
59,1761143834,104,71e90e84-0653-49fa-93c3-29ef26cacb94,1761143938,1761144082,144,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00052153471677733902 --batch_size 699 --hidden_size 1215 --num_dense_layers 1 --num_conv_layers 3 --filter 46,0,,c85,1109263,59_0,COMPLETED,BOTORCH_MODULAR,41.060000000000002273736754432321,1.866999999999999992894572642399,10,0.000521534716777339018428660822,699,1215,1,3,46
60,1761144301,72,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144373,1761144548,175,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 13 --learning_rate 0.00002475793849966019 --batch_size 704 --hidden_size 1068 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c143,1109507,60_0,COMPLETED,BOTORCH_MODULAR,21.71000000000000085265128291212,2.318000000000000060396132539609,13,0.000024757938499660191617205915,704,1068,3,3,48
61,1761144301,57,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144358,1761144538,180,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 12 --learning_rate 0.0000280061689906111 --batch_size 712 --hidden_size 1069 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c111,1109504,61_0,COMPLETED,BOTORCH_MODULAR,23.39000000000000056843418860808,2.256000000000000227373675443232,12,0.000028006168990611098696882908,712,1069,3,3,48
62,1761144301,42,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144343,1761144498,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 11 --learning_rate 0.00003557549469644374 --batch_size 716 --hidden_size 1062 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c128,1109502,62_0,COMPLETED,BOTORCH_MODULAR,24.28999999999999914734871708788,2.007000000000000117239551400417,11,0.000035575494696443738928005179,716,1062,3,3,48
63,1761144301,82,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144383,1761145171,788,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.0002031835714758134 --batch_size 495 --hidden_size 1186 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c140,1109508,63_0,COMPLETED,BOTORCH_MODULAR,48.310000000000002273736754432321,10.75,71,0.000203183571475813403751919939,495,1186,3,3,48
64,1761144301,71,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144372,1761144540,168,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 12 --learning_rate 0.00001 --batch_size 686 --hidden_size 1081 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c139,1109509,64_0,COMPLETED,BOTORCH_MODULAR,16.89000000000000056843418860808,2.210999999999999854338739169179,12,0.000010000000000000000818030539,686,1081,3,3,48
65,1761144301,59,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144360,1761144540,180,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.0001238913248953698 --batch_size 821 --hidden_size 1059 --num_dense_layers 3 --num_conv_layers 3 --filter 47,0,,c73,1109505,65_0,COMPLETED,BOTORCH_MODULAR,30.67000000000000170530256582424,2.309000000000000163424829224823,10,0.000123891324895369800375075076,821,1059,3,3,47
66,1761144301,42,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144343,1761144486,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00001 --batch_size 735 --hidden_size 1073 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c131,1109500,66_0,COMPLETED,BOTORCH_MODULAR,13.6999999999999992894572642399,1.883999999999999896971303314785,10,0.000010000000000000000818030539,735,1073,3,3,48
67,1761144301,41,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144342,1761144535,193,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 15 --learning_rate 0.00001 --batch_size 683 --hidden_size 1069 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c130,1109501,67_0,COMPLETED,BOTORCH_MODULAR,19.01999999999999957367435854394,2.607000000000000206057393370429,15,0.000010000000000000000818030539,683,1069,3,3,48
68,1761144301,41,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144342,1761144590,248,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00001814013585336588 --batch_size 668 --hidden_size 1075 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c53,1109506,68_0,COMPLETED,BOTORCH_MODULAR,25.33999999999999985789145284798,3.309000000000000163424829224823,20,0.000018140135853365878959185184,668,1075,3,3,48
69,1761144301,23,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144324,1761144637,313,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 25 --learning_rate 0.00005762611643132937 --batch_size 639 --hidden_size 1097 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c9,1109499,69_0,COMPLETED,BOTORCH_MODULAR,36.270000000000003126388037344441,4.091999999999999637623204762349,25,0.000057626116431329367474026976,639,1097,3,3,48
70,1761144301,13,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144314,1761144545,231,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 18 --learning_rate 0.0000349526875816141 --batch_size 675 --hidden_size 1107 --num_dense_layers 3 --num_conv_layers 3 --filter 47,0,,c116,1109498,70_0,COMPLETED,BOTORCH_MODULAR,28.78000000000000113686837721616,3.100000000000000088817841970013,18,0.000034952687581614095180433666,675,1107,3,3,47
71,1761144301,63,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144364,1761144513,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00001 --batch_size 723 --hidden_size 1079 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c113,1109503,71_0,COMPLETED,BOTORCH_MODULAR,14.99000000000000021316282072803,1.882000000000000117239551400417,10,0.000010000000000000000818030539,723,1079,3,3,48
72,1761144302,69,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144371,1761144545,174,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 12 --learning_rate 0.00001167041507903884 --batch_size 679 --hidden_size 1080 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c44,1109511,72_0,COMPLETED,BOTORCH_MODULAR,17.23000000000000042632564145606,2.233999999999999985789145284798,12,0.000011670415079038836737336526,679,1080,3,3,48
73,1761144302,86,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144388,1761144543,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00001 --batch_size 739 --hidden_size 1084 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c13,1109515,73_0,COMPLETED,BOTORCH_MODULAR,15.85999999999999943156581139192,1.935999999999999943156581139192,10,0.000010000000000000000818030539,739,1084,3,3,48
74,1761144302,72,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144374,1761144517,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00001 --batch_size 717 --hidden_size 1090 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c18,1109514,74_0,COMPLETED,BOTORCH_MODULAR,15.56000000000000049737991503207,1.903999999999999914734871708788,10,0.000010000000000000000818030539,717,1090,3,3,48
75,1761144302,102,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144404,1761144553,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00004128255094425817 --batch_size 727 --hidden_size 1066 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c134,1109516,75_0,COMPLETED,BOTORCH_MODULAR,24.78999999999999914734871708788,1.949000000000000065725203057809,10,0.000041282550944258173980950383,727,1066,3,3,48
76,1761144302,84,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144386,1761144541,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00016287860340021459 --batch_size 841 --hidden_size 1045 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c115,1109510,76_0,COMPLETED,BOTORCH_MODULAR,32,1.925000000000000044408920985006,10,0.000162878603400214594810330171,841,1045,3,3,48
77,1761144302,102,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144404,1761144710,306,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 25 --learning_rate 0.00006655207554245286 --batch_size 662 --hidden_size 1082 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c128,1109517,77_0,COMPLETED,BOTORCH_MODULAR,38.5,4.149000000000000021316282072803,25,0.000066552075542452863369906335,662,1082,3,3,48
78,1761144303,71,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144374,1761144612,238,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 18 --learning_rate 0.00001553968173083416 --batch_size 632 --hidden_size 1091 --num_dense_layers 3 --num_conv_layers 3 --filter 47,0,,c34,1109512,78_0,COMPLETED,BOTORCH_MODULAR,23.48000000000000042632564145606,3.07600000000000006750155989721,18,0.000015539681730834156416160355,632,1091,3,3,47
79,1761144303,71,71e90e84-0653-49fa-93c3-29ef26cacb94,1761144374,1761144523,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00001 --batch_size 707 --hidden_size 1083 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c23,1109513,79_0,COMPLETED,BOTORCH_MODULAR,15.46000000000000085265128291212,1.915999999999999925393012745189,10,0.000010000000000000000818030539,707,1083,3,3,48
80,1761145352,77,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145429,1761145578,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00060999474423943808 --batch_size 525 --hidden_size 1158 --num_dense_layers 3 --num_conv_layers 1 --filter 48,0,,c68,1109656,80_0,COMPLETED,BOTORCH_MODULAR,18.83999999999999985789145284798,1.919000000000000039079850466806,10,0.000609994744239438077201831412,525,1158,3,1,48
81,1761145351,77,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145428,1761145571,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00062793023076062389 --batch_size 630 --hidden_size 1052 --num_dense_layers 3 --num_conv_layers 2 --filter 48,0,,c68,1109655,81_0,COMPLETED,BOTORCH_MODULAR,32.189999999999997726263245567679,1.855999999999999872102307563182,10,0.000627930230760623893544736251,630,1052,3,2,48
82,1761145351,16,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145367,1761145510,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00028824216622744687 --batch_size 433 --hidden_size 1251 --num_dense_layers 3 --num_conv_layers 3 --filter 1,0,,c23,1109646,82_0,COMPLETED,BOTORCH_MODULAR,10.47000000000000063948846218409,1.796000000000000040856207306206,10,0.00028824216622744686924426083,433,1251,3,3,1
83,1761145351,73,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145424,1761145567,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.0006320637546802974 --batch_size 814 --hidden_size 1832 --num_dense_layers 3 --num_conv_layers 2 --filter 48,0,,c18,1109658,83_0,COMPLETED,BOTORCH_MODULAR,32.42999999999999971578290569596,1.848999999999999976907361087797,10,0.000632063754680297403693023384,814,1832,3,2,48
84,1761145351,73,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145424,1761145566,142,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00062488849078249883 --batch_size 1024 --hidden_size 704 --num_dense_layers 3 --num_conv_layers 3 --filter 48,0,,c85,1109654,84_0,COMPLETED,BOTORCH_MODULAR,35.39000000000000056843418860808,1.848999999999999976907361087797,10,0.000624888490782498826590918295,1024,704,3,3,48
85,1761145351,76,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145427,1761145777,350,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00027240078025386798 --batch_size 832 --hidden_size 1857 --num_dense_layers 3 --num_conv_layers 3 --filter 19,0,,c85,1109653,85_0,COMPLETED,BOTORCH_MODULAR,44.549999999999997157829056959599,4.741999999999999992894572642399,30,0.000272400780253867979500276286,832,1857,3,3,19
86,1761145351,105,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145456,1761145711,255,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 19 --learning_rate 0.00063364069331075916 --batch_size 657 --hidden_size 714 --num_dense_layers 2 --num_conv_layers 2 --filter 48,0,,c110,1109652,86_0,COMPLETED,BOTORCH_MODULAR,34.71999999999999886313162278384,3.186999999999999833022457096376,19,0.000633640693310759156760270105,657,714,2,2,48
87,1761145351,74,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145425,1761145569,144,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00038428384457700189 --batch_size 753 --hidden_size 1577 --num_dense_layers 3 --num_conv_layers 2 --filter 48,0,,c143,1109650,87_0,COMPLETED,BOTORCH_MODULAR,33.259999999999998010480339871719,1.875999999999999889865875957184,10,0.000384283844577001888406786456,753,1577,3,2,48
88,1761145351,44,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145395,1761145551,156,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00038972944729789323 --batch_size 929 --hidden_size 1889 --num_dense_layers 3 --num_conv_layers 3 --filter 47,0,,c66,1109648,88_0,COMPLETED,BOTORCH_MODULAR,40.060000000000002273736754432321,1.949000000000000065725203057809,10,0.00038972944729789323189614314,929,1889,3,3,47
89,1761145351,76,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145427,1761145676,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00063756614443247466 --batch_size 996 --hidden_size 2026 --num_dense_layers 3 --num_conv_layers 3 --filter 37,0,,c131,1109651,89_0,COMPLETED,BOTORCH_MODULAR,47.25,3.327999999999999847233311811578,20,0.00063756614443247466156305947,996,2026,3,3,37
90,1761145351,78,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145429,1761145584,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.0002909126033006552 --batch_size 853 --hidden_size 1996 --num_dense_layers 3 --num_conv_layers 3 --filter 34,0,,c18,1109657,90_0,COMPLETED,BOTORCH_MODULAR,36.82000000000000028421709430404,1.976999999999999868549593884381,10,0.000290912603300655196996576946,853,1996,3,3,34
91,1761145351,45,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145396,1761145545,149,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.0002898032224441944 --batch_size 851 --hidden_size 1675 --num_dense_layers 3 --num_conv_layers 3 --filter 25,0,,c92,1109647,91_0,COMPLETED,BOTORCH_MODULAR,35.46000000000000085265128291212,1.915000000000000035527136788005,10,0.000289803222444194401828665431,851,1675,3,3,25
92,1761145351,44,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145395,1761145538,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00064142438673393473 --batch_size 885 --hidden_size 1561 --num_dense_layers 2 --num_conv_layers 3 --filter 48,0,,c13,1109649,92_0,COMPLETED,BOTORCH_MODULAR,40.659999999999996589394868351519,1.870000000000000106581410364015,10,0.000641424386733934728983819173,885,1561,2,3,48
93,1761145352,73,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145425,1761145644,219,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 17 --learning_rate 0.00028734807862071892 --batch_size 927 --hidden_size 1868 --num_dense_layers 3 --num_conv_layers 3 --filter 12,0,,c13,1109659,93_0,COMPLETED,BOTORCH_MODULAR,35.979999999999996873611962655559,2.842000000000000081712414612412,17,0.000287348078620718917503690237,927,1868,3,3,12
94,1761145352,103,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145455,1761145598,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00063581787509163403 --batch_size 795 --hidden_size 1316 --num_dense_layers 3 --num_conv_layers 2 --filter 48,0,,c85,1109661,94_0,COMPLETED,BOTORCH_MODULAR,34.53000000000000113686837721616,1.854999999999999982236431605997,10,0.000635817875091634031325948939,795,1316,3,2,48
95,1761145352,106,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145458,1761145600,142,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00063260468253609366 --batch_size 673 --hidden_size 1192 --num_dense_layers 3 --num_conv_layers 2 --filter 48,0,,c94,1109660,95_0,COMPLETED,BOTORCH_MODULAR,32.009999999999998010480339871719,1.83999999999999985789145284798,10,0.000632604682536093659676879053,673,1192,3,2,48
96,1761145353,105,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145458,1761145601,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00062052202087334784 --batch_size 688 --hidden_size 732 --num_dense_layers 3 --num_conv_layers 2 --filter 48,0,,c36,1109665,96_0,COMPLETED,BOTORCH_MODULAR,28.67999999999999971578290569596,1.879999999999999893418589635985,10,0.000620522020873347842501166483,688,732,3,2,48
97,1761145353,107,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145460,1761145603,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00063909913190947007 --batch_size 669 --hidden_size 1379 --num_dense_layers 3 --num_conv_layers 2 --filter 48,0,,c73,1109664,97_0,COMPLETED,BOTORCH_MODULAR,32.479999999999996873611962655559,1.848999999999999976907361087797,10,0.000639099131909470069556888916,669,1379,3,2,48
98,1761145353,107,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145460,1761145603,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00063728370674388281 --batch_size 737 --hidden_size 1739 --num_dense_layers 3 --num_conv_layers 2 --filter 48,0,,c77,1109662,98_0,COMPLETED,BOTORCH_MODULAR,34.490000000000001989519660128281,1.868999999999999994670929481799,10,0.00063728370674388280792133088,737,1739,3,2,48
99,1761145353,107,71e90e84-0653-49fa-93c3-29ef26cacb94,1761145460,1761145603,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.0006296754777818731 --batch_size 851 --hidden_size 1970 --num_dense_layers 3 --num_conv_layers 2 --filter 48,0,,c73,1109663,99_0,COMPLETED,BOTORCH_MODULAR,33.840000000000003410605131648481,1.878000000000000113686837721616,10,0.000629675477781873097447851162,851,1970,3,2,48
100,1761146354,16,71e90e84-0653-49fa-93c3-29ef26cacb94,1761146370,1761146875,505,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 46 --learning_rate 0.00026931679363567944 --batch_size 1024 --hidden_size 2006 --num_dense_layers 3 --num_conv_layers 3 --filter 26,0,,c44,1110072,100_0,COMPLETED,BOTORCH_MODULAR,47.3500000000000014210854715202,6.924000000000000376587649952853,10,0.000667213464440872096664070234,266,20,3,3,1
101,1761146354,49,71e90e84-0653-49fa-93c3-29ef26cacb94,1761146403,1761146558,155,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00100000000000000002 --batch_size 250 --hidden_size 8 --num_dense_layers 3 --num_conv_layers 3 --filter 1,0,,c125,1110073,101_0,COMPLETED,BOTORCH_MODULAR,2.24000000000000021316282072803,1.977999999999999980460074766597,10,0.001000000000000000020816681712,250,8,3,3,1
102,1761146354,29,71e90e84-0653-49fa-93c3-29ef26cacb94,1761146383,1761146720,337,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.00067696505619976193 --batch_size 574 --hidden_size 580 --num_dense_layers 3 --num_conv_layers 3 --filter 24,0,,c64,1110071,101_0,COMPLETED,BOTORCH_MODULAR,41.8500000000000014210854715202,4.448000000000000397903932025656,10,0.001000000000000000020816681712,250,8,3,3,1
103,,,,,,,,,,,,101_0,ABANDONED,BOTORCH_MODULAR,-1000000000,1000000000,10,0.001000000000000000020816681712,250,8,3,3,1
104,1761146354,80,71e90e84-0653-49fa-93c3-29ef26cacb94,1761146434,1761146577,143,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.0006632060540155125 --batch_size 201 --hidden_size 1202 --num_dense_layers 3 --num_conv_layers 3 --filter 1,0,,c128,1110076,101_0,COMPLETED,BOTORCH_MODULAR,14.86999999999999921840299066389,1.875999999999999889865875957184,10,0.001000000000000000020816681712,250,8,3,3,1
105,,,,,,,,,,,,101_0,ABANDONED,BOTORCH_MODULAR,-1000000000,1000000000,10,0.001000000000000000020816681712,250,8,3,3,1
106,,,,,,,,,,,,101_0,ABANDONED,BOTORCH_MODULAR,-1000000000,1000000000,10,0.001000000000000000020816681712,250,8,3,3,1
107,1761146354,80,71e90e84-0653-49fa-93c3-29ef26cacb94,1761146434,1761146571,137,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00066211017571118122 --batch_size 257 --hidden_size 412 --num_dense_layers 3 --num_conv_layers 3 --filter 1,0,,c131,1110075,107_0,COMPLETED,BOTORCH_MODULAR,13.22000000000000063948846218409,1.810999999999999943156581139192,10,0.000662110175711181215933709421,257,412,3,3,1
108,1761146354,80,71e90e84-0653-49fa-93c3-29ef26cacb94,1761146434,1761146571,137,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 10 --learning_rate 0.00064530051291009289 --batch_size 256 --hidden_size 1183 --num_dense_layers 3 --num_conv_layers 3 --filter 1,0,,c139,1110074,108_0,COMPLETED,BOTORCH_MODULAR,14.06000000000000049737991503207,1.813000000000000166977542903624,10,0.001000000000000000020816681712,251,8,3,3,1
109,1761147318,137,71e90e84-0653-49fa-93c3-29ef26cacb94,1761147455,1761147886,431,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00039619980838009574 --batch_size 867 --hidden_size 1238 --num_dense_layers 1 --num_conv_layers 3 --filter 48,0,,c68,1110785,109_0,COMPLETED,BOTORCH_MODULAR,50.67999999999999971578290569596,5.841999999999999637623204762349,39,0.000394317220078469865118114823,848,1235,2,3,48
110,,,,,,,,,,,,110_0,ABANDONED,BOTORCH_MODULAR,-1000000000,1000000000,39,0.000393872487252718396846806748,851,1249,1,3,48
111,1761147318,137,71e90e84-0653-49fa-93c3-29ef26cacb94,1761147455,1761147899,444,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 39 --learning_rate 0.00039046095736421712 --batch_size 876 --hidden_size 1255 --num_dense_layers 1 --num_conv_layers 3 --filter 48,0,,c13,1110786,111_0,COMPLETED,BOTORCH_MODULAR,50.28000000000000113686837721616,6.016000000000000014210854715202,39,0.000389559587488141347792064417,866,1198,1,3,48
112,,,,,,,,,,,,112_0,ABANDONED,BOTORCH_MODULAR,-1000000000,1000000000,39,0.000392135124355623887384275639,854,1238,2,3,48
113,,,,,,,,,,,,113_0,ABANDONED,BOTORCH_MODULAR,-1000000000,1000000000,39,0.000381940708680553035227200898,892,1416,2,3,48
114,1761147318,135,71e90e84-0653-49fa-93c3-29ef26cacb94,1761147453,1761147903,450,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 39 --learning_rate 0.00039593871243066468 --batch_size 860 --hidden_size 1291 --num_dense_layers 2 --num_conv_layers 3 --filter 48,0,,c118,1110784,114_0,COMPLETED,BOTORCH_MODULAR,52.25,6.139999999999999680255768907955,39,0.000396545692018907556045115292,851,1239,2,3,48
⚠ Job 1107137 (task: 0) with path /data/cat/ws/pwinkler-mnist_new/omniopt/runs/mnist_new/0/single_runs/1107137/1107137_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/cat/ws/pwinkler-mnist_new/omniopt/runs/mnist_new/0/single_runs/1107137/1107137_0_log.out
----------------------------------------
submitit INFO (2025-10-22 14:11:44,226) - Starting with JobEnvironment(job_id=1107137, hostname=c35, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-10-22 14:11:44,227) - Loading pickle: /data/cat/ws/pwinkler-mnist_new/omniopt/runs/mnist_new/0/single_runs/1107137/1107137_submitted.pkl
Trial-Index: 15
slurmstepd: error: *** JOB 1107137 ON c35 CANCELLED AT 2025-10-22T15:41:52 DUE TO TIME LIMIT ***
get_ax_client_trial: trial_index 112 failed
get_ax_client_trial: trial_index 113 failed
get_ax_client_trial: trial_index 116 failed
get_ax_client_trial: trial_index 110 failed
get_ax_client_trial: trial_index 115 failed
execute_evaluation: _trial was not in execute_evaluation for params [113, {'epochs': 10, 'lr': 0.0006714556830378571, 'batch_size': 256, 'hidden_size': 17, 'num_dense_layers': 3, 'num_conv_layers': 3, 'filter': 1}, 7, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [112, {'epochs': 10, 'lr': 0.001, 'batch_size': 251, 'hidden_size': 8, 'num_dense_layers': 3, 'num_conv_layers': 3, 'filter': 1}, 6, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [115, {'epochs': 10, 'lr': 0.0006608561496372423, 'batch_size': 296, 'hidden_size': 772, 'num_dense_layers': 3, 'num_conv_layers': 3, 'filter': 2}, 8, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [110, {'epochs': 10, 'lr': 0.0006346456029430184, 'batch_size': 250, 'hidden_size': 1363, 'num_dense_layers': 3, 'num_conv_layers': 3, 'filter': 1}, 5, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [116, {'epochs': 10, 'lr': 0.0006660710277412491, 'batch_size': 266, 'hidden_size': 199, 'num_dense_layers': 3, 'num_conv_layers': 3, 'filter': 1}, 9, 'systematic']
get_ax_client_trial: trial_index 117 failed
execute_evaluation: _trial was not in execute_evaluation for params [117, {'epochs': 10, 'lr': 0.001, 'batch_size': 247, 'hidden_size': 1085, 'num_dense_layers': 3, 'num_conv_layers': 3, 'filter': 1}, 10, 'systematic']
get_ax_client_trial: trial_index 120 failed
get_ax_client_trial: trial_index 118 failed
get_ax_client_trial: trial_index 119 failed
get_ax_client_trial: trial_index 121 failed
execute_evaluation: _trial was not in execute_evaluation for params [120, {'epochs': 39, 'lr': 0.00039053434738864535, 'batch_size': 842, 'hidden_size': 1242, 'num_dense_layers': 1, 'num_conv_layers': 3, 'filter': 48}, 6, 'systematic']
get_ax_client_trial: trial_index 123 failed
execute_evaluation: _trial was not in execute_evaluation for params [119, {'epochs': 39, 'lr': 0.00039372831988968054, 'batch_size': 908, 'hidden_size': 1378, 'num_dense_layers': 1, 'num_conv_layers': 3, 'filter': 47}, 5, 'systematic']
get_ax_client_trial: trial_index 124 failed
execute_evaluation: _trial was not in execute_evaluation for params [121, {'epochs': 39, 'lr': 0.0003944870921190468, 'batch_size': 854, 'hidden_size': 1250, 'num_dense_layers': 2, 'num_conv_layers': 3, 'filter': 48}, 7, 'systematic']
get_ax_client_trial: trial_index 122 failed
execute_evaluation: _trial was not in execute_evaluation for params [118, {'epochs': 38, 'lr': 0.0003971727007492403, 'batch_size': 878, 'hidden_size': 1251, 'num_dense_layers': 2, 'num_conv_layers': 3, 'filter': 48}, 4, 'systematic']
get_ax_client_trial: trial_index 125 failed
execute_evaluation: _trial was not in execute_evaluation for params [122, {'epochs': 39, 'lr': 0.00039752470498440854, 'batch_size': 858, 'hidden_size': 1241, 'num_dense_layers': 1, 'num_conv_layers': 3, 'filter': 48}, 8, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [123, {'epochs': 39, 'lr': 0.00039153962455976897, 'batch_size': 849, 'hidden_size': 1263, 'num_dense_layers': 2, 'num_conv_layers': 3, 'filter': 48}, 9, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [124, {'epochs': 38, 'lr': 0.0003954699790744419, 'batch_size': 877, 'hidden_size': 1252, 'num_dense_layers': 1, 'num_conv_layers': 3, 'filter': 48}, 10, 'systematic']
get_ax_client_trial: trial_index 126 failed
execute_evaluation: _trial was not in execute_evaluation for params [125, {'epochs': 45, 'lr': 0.00040134214084149115, 'batch_size': 825, 'hidden_size': 1578, 'num_dense_layers': 2, 'num_conv_layers': 3, 'filter': 36}, 11, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [126, {'epochs': 39, 'lr': 0.0003973812831579376, 'batch_size': 863, 'hidden_size': 1270, 'num_dense_layers': 2, 'num_conv_layers': 3, 'filter': 48}, 12, 'systematic']
get_ax_client_trial: trial_index 127 failed
get_ax_client_trial: trial_index 128 failed
execute_evaluation: _trial was not in execute_evaluation for params [127, {'epochs': 38, 'lr': 0.00039433198713818504, 'batch_size': 871, 'hidden_size': 1240, 'num_dense_layers': 2, 'num_conv_layers': 3, 'filter': 48}, 13, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [128, {'epochs': 39, 'lr': 0.0003936339940635411, 'batch_size': 857, 'hidden_size': 1259, 'num_dense_layers': 1, 'num_conv_layers': 3, 'filter': 48}, 14, 'systematic']
get_ax_client_trial: trial_index 130 failed
get_ax_client_trial: trial_index 129 failed
get_ax_client_trial: trial_index 131 failed
get_ax_client_trial: trial_index 132 failed
get_ax_client_trial: trial_index 133 failed
get_ax_client_trial: trial_index 134 failed
execute_evaluation: _trial was not in execute_evaluation for params [130, {'epochs': 10, 'lr': 0.001, 'batch_size': 302, 'hidden_size': 785, 'num_dense_layers': 1, 'num_conv_layers': 1, 'filter': 1}, 2, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [131, {'epochs': 10, 'lr': 0.001, 'batch_size': 309, 'hidden_size': 784, 'num_dense_layers': 1, 'num_conv_layers': 1, 'filter': 1}, 3, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [129, {'epochs': 10, 'lr': 0.001, 'batch_size': 320, 'hidden_size': 772, 'num_dense_layers': 1, 'num_conv_layers': 1, 'filter': 1}, 1, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [132, {'epochs': 10, 'lr': 0.001, 'batch_size': 310, 'hidden_size': 777, 'num_dense_layers': 1, 'num_conv_layers': 1, 'filter': 1}, 4, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [133, {'epochs': 10, 'lr': 0.001, 'batch_size': 329, 'hidden_size': 770, 'num_dense_layers': 1, 'num_conv_layers': 1, 'filter': 1}, 5, 'systematic']
execute_evaluation: _trial was not in execute_evaluation for params [134, {'epochs': 10, 'lr': 0.001, 'batch_size': 301, 'hidden_size': 774, 'num_dense_layers': 1, 'num_conv_layers': 1, 'filter': 1}, 6, 'systematic']
It seems like the search space was exhausted. You were able to get 21% of the jobs you requested (got: 108, submitted: 109, failed: 1, requested: 500) after main ran
To cancel, press CTRL c, then run 'scancel 1107117'
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[WARNING 10-22 14:10:14] ax.service.utils.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
⠼ Importing ax...
⠋ Importing ax.core.generator_run...
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Run-UUID: 414301d3-a84d-4472-9ed5-c9eded9aaed1
________________________________________
| OmniOpt2 - Cooking up some optimization! |
========================================
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⠋ Writing worker creation log...
omniopt --partition=alpha --experiment_name=mnist_new --mem_gb=40 --time=1440 --worker_timeout=90 --max_eval=500 --num_parallel_jobs=20 --gpus=1 --num_random_steps=20 --follow --live_share --send_anonymized_usage_stats --result_names VAL_ACC=max NORMALIZED_RUNTIME=min --run_program=cHl0aG9uMyAvZGF0YS9jYXQvd3MvcHdpbmtsZXItbW5pc3RfbmV3L29tbmlvcHQvLnRlc3RzL21uaXN0L3RyYWluIC0tZXBvY2hzICVlcG9jaHMgLS1sZWFybmluZ19yYXRlICVsciAtLWJhdGNoX3NpemUgJWJhdGNoX3NpemUgLS1oaWRkZW5fc2l6ZSAlaGlkZGVuX3NpemUgLS1udW1fZGVuc2VfbGF5ZXJzICVudW1fZGVuc2VfbGF5ZXJzIC0tbnVtX2NvbnZfbGF5ZXJzICVudW1fY29udl9sYXllcnMgLS1maWx0ZXIgJWZpbHRlcgo= --cpus_per_task=1 --nodes_per_job=1 --revert_to_random_when_seemingly_exhausted --model=BOTORCH_MODULAR --n_estimators_randomforest=100 --run_mode=local --occ_type=euclid --main_process_gb=20 --max_nr_of_zero_results=50 --slurm_signal_delay_s=0 --max_failed_jobs=0 --max_attempts_for_generation=20 --num_restarts=20 --raw_samples=1024 --max_abandoned_retrial=20 --max_num_of_parallel_sruns=16 --number_of_generators=1 --generate_all_jobs_at_once --parameter epochs range 10 300 int false --parameter lr range 0.00001 0.001 float false --parameter batch_size range 8 1024 int false --parameter hidden_size range 8 2048 int false --parameter num_dense_layers range 1 3 int false --parameter num_conv_layers range 1 3 int false --parameter filter range 1 48 int false
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /data/cat/ws/pwinkler-mnist_new/omniopt/runs/mnist_new/0...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
⠋ Saving state files...
Run-folder: /data/cat/ws/pwinkler-mnist_new/omniopt/runs/mnist_new/0
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠴ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Setting global generation strategy
⠋ Initializing ax_client...
key: VAL_ACC, _min: False
key: NORMALIZED_RUNTIME, _min: True
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=pwinkler&experiment_name=mnist_new&run_nr=2 for live-results.
You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100.
Generation strategy: SOBOL for 20 steps and then BOTORCH_MODULAR for 480 steps.
Run-Program: python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs %epochs --learning_rate %lr --batch_size %batch_size --hidden_size %hidden_size --num_dense_layers %num_dense_layers --num_conv_layers %num_conv_layers --filter %filter
Experiment parameters
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ epochs │ range │ 10 │ 300 │ int │ No │
│ lr │ range │ 1e-05 │ 0.001 │ float │ No │
│ batch_size │ range │ 8 │ 1024 │ int │ No │
│ hidden_size │ range │ 8 │ 2048 │ int │ No │
│ num_dense_layers │ range │ 1 │ 3 │ int │ No │
│ num_conv_layers │ range │ 1 │ 3 │ int │ No │
│ filter │ range │ 1 │ 48 │ int │ No │
└──────────────────┴───────┴─────────────┴─────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ VAL_ACC │ max │
│ NORMALIZED_RUNTIME │ min │
└────────────────────┴─────────────┘
⠙ Write files and show overview
SOBOL, 19 done, running 1 = ∑1/20, waiting for 1 job : 4%|░░░░░░░░░░| 19/500 [52:51<21:23:59, 160.17s/it]
⚠ Job 1107137 (task: 0) with path /data/cat/ws/pwinkler-mnist_new/omniopt/runs/mnist_new/0/single_runs/1107137/1107137_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/cat/ws/pwinkler-mnist_new/omniopt/runs/mnist_new/0/single_runs/1107137/1107137_0_log.out
----------------------------------------
submitit INFO (2025-10-22 14:11:44,226) - Starting with JobEnvironment(job_id=1107137, hostname=c35, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-10-22 14:11:44,227) - Loading pickle: /data/cat/ws/pwinkler-mnist_new/omniopt/runs/mnist_new/0/single_runs/1107137/1107137_submitted.pkl
Trial-Index: 15
slurmstepd: error: *** JOB 1107137 ON c35 CANCELLED AT 2025-10-22T15:41:52 DUE TO TIME LIMIT ***
SOBOL, failed: 1, 19 done, running/pending 9/11 = ∑20/20, waiting for 20 jobs : 4%|░░░░░░░░░░| 19/500 [1:34:20<21:23:59, 160.17s/it]
WARN: grep failed or no exit-code line found.
WARN: sed failed or no data after sed.
WARN: tail failed or no data after tail.
WARN: No valid exit code found, setting it to 3
SOBOL, failed: 1, 108 done, found 50 zero-jobs (max: 50) : 22%|██░░░░░░░░| 108/500 [6:36:00<23:57:21, 220.00s/it]
It seems like the search space was exhausted. You were able to get 21% of the jobs you requested (got: 108, submitted: 109, failed: 1, requested: 500) after main ran
Pareto-Front for VAL_ACC/NORMALIZED_RUNTIME:
┏━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ epochs ┃ lr ┃ batch_size ┃ hidden_size ┃ num_dense_layers ┃ num_conv_layers ┃ filter ┃ VAL_ACC ┃ NORMALIZED_RUNTIME ┃
┡━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩
│ 9 │ 71 │ 0.0008776390301343054 │ 636 │ 28 │ 2 │ 3 │ 15 │ 1 │ 10.189 │
├─────────────┼────────┼────────────────────────┼────────────┼─────────────┼──────────────────┼─────────────────┼────────┼─────────┼────────────────────┤
│ 82 │ 10 │ 0.00028824216622744687 │ 433 │ 1251 │ 3 │ 3 │ 1 │ 10.47 │ 1.796 │
├─────────────┼────────┼────────────────────────┼────────────┼─────────────┼──────────────────┼─────────────────┼────────┼─────────┼────────────────────┤
│ 101 │ 10 │ 0.001 │ 250 │ 8 │ 3 │ 3 │ 1 │ 2.24 │ 1.978 │
└─────────────┴────────┴────────────────────────┴────────────┴─────────────┴──────────────────┴─────────────────┴────────┴─────────┴────────────────────┘
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time ┃ Max time ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩
│ 108 │ 137.00 sec (2m17s) │ 3096.00 sec (51m36s) │ 722.12 sec (12m2s) │ 190.00 sec (3m10s) │
└───────────────────────┴────────────────────┴──────────────────────┴────────────────────┴────────────────────┘
2025-10-22 14:10:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, Started OmniOpt2 run...
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #1/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #2/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #3/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #4/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #5/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #6/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #7/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #8/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #9/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #10/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #11/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #12/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #13/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #14/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #15/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #16/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #17/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #18/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #19/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, getting new HP set #20/20
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, requested 20 jobs, got 20, 0.04 s/job
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #1/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #2/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #3/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #4/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #5/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #6/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #7/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #8/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #9/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #10/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #11/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #12/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #13/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #14/20 start
2025-10-22 14:10:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #15/20 start
2025-10-22 14:10:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #16/20 start
2025-10-22 14:10:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #17/20 start
2025-10-22 14:10:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #18/20 start
2025-10-22 14:10:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #19/20 start
2025-10-22 14:10:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, eval #20/20 start
2025-10-22 14:10:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, starting new job
2025-10-22 14:10:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, unknown 2 = ∑2/20, started new job
2025-10-22 14:10:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, unknown 2 = ∑2/20, starting new job
2025-10-22 14:10:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 2/1 = ∑3/20, started new job
2025-10-22 14:10:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 2/1 = ∑3/20, starting new job
2025-10-22 14:10:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 2/2 = ∑4/20, started new job
2025-10-22 14:10:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 2/2 = ∑4/20, starting new job
2025-10-22 14:10:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 2/3 = ∑5/20, started new job
2025-10-22 14:10:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 2/5 = ∑7/20, started new job
2025-10-22 14:10:27 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/6 = ∑9/20, started new job
2025-10-22 14:10:27 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/7 = ∑10/20, started new job
2025-10-22 14:10:27 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/8 = ∑11/20, started new job
2025-10-22 14:10:27 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/9 = ∑12/20, started new job
2025-10-22 14:10:27 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/10 = ∑13/20, started new job
2025-10-22 14:10:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/11 = ∑14/20, started new job
2025-10-22 14:10:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/12 = ∑15/20, started new job
2025-10-22 14:10:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/13 = ∑16/20, started new job
2025-10-22 14:10:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/14 = ∑17/20, started new job
2025-10-22 14:10:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/15 = ∑18/20, started new job
2025-10-22 14:10:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/16 = ∑19/20, started new job
2025-10-22 14:10:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/17 = ∑20/20, started new job
2025-10-22 14:10:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending/unknown 3/17 = ∑20/20, waiting for 20 jobs
2025-10-22 14:10:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, pending 20 = ∑20/20, waiting for 20 jobs
2025-10-22 14:10:41 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, running/pending 3/17 = ∑20/20, waiting for 20 jobs
2025-10-22 14:11:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, running/pending 6/14 = ∑20/20, waiting for 20 jobs
2025-10-22 14:12:07 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, running/pending 16/4 = ∑20/20, waiting for 20 jobs
2025-10-22 14:13:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, running 20 = ∑20/20, waiting for 20 jobs
2025-10-22 14:15:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, running 20 = ∑20/20, new result: VAL_ACC: 24.530000, NORMALIZED_RUNTIME: 2.524000
2025-10-22 14:15:27 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 1 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-22 14:15:27 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 1 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-22 14:17:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 1 done, running 19 = ∑19/20, new result: VAL_ACC: 37.420000, NORMALIZED_RUNTIME: 4.338000
2025-10-22 14:17:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 2 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-22 14:17:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 2 done, running 18 = ∑18/20, waiting for 18 jobs
2025-10-22 14:20:42 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 2 done, running 18 = ∑18/20, new result: VAL_ACC: 46.450000, NORMALIZED_RUNTIME: 7.382000
2025-10-22 14:20:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 3 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-22 14:20:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 3 done, running 17 = ∑17/20, waiting for 17 jobs
2025-10-22 14:21:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 3 done, running 17 = ∑17/20, new result: VAL_ACC: 40.420000, NORMALIZED_RUNTIME: 7.480000
2025-10-22 14:21:20 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 4 done, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-22 14:21:20 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 4 done, running 16 = ∑16/20, waiting for 16 jobs
2025-10-22 14:23:34 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 4 done, running 16 = ∑16/20, new result: VAL_ACC: 1.000000, NORMALIZED_RUNTIME: 10.189000
2025-10-22 14:23:40 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 5 done, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-22 14:23:40 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 5 done, running 15 = ∑15/20, waiting for 15 jobs
2025-10-22 14:28:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 5 done, running 15 = ∑15/20, new result: VAL_ACC: 44.280000, NORMALIZED_RUNTIME: 13.535000
2025-10-22 14:28:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 6 done, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-22 14:28:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 6 done, running 14 = ∑14/20, waiting for 14 jobs
2025-10-22 14:29:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 6 done, running 14 = ∑14/20, new result: VAL_ACC: 45.450000, NORMALIZED_RUNTIME: 14.714000
2025-10-22 14:29:43 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 7 done, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-22 14:29:43 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 7 done, running 13 = ∑13/20, waiting for 13 jobs
2025-10-22 14:34:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 7 done, running 13 = ∑13/20, new result: VAL_ACC: 52.480000, NORMALIZED_RUNTIME: 18.862000
2025-10-22 14:34:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 8 done, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-10-22 14:34:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 8 done, running 12 = ∑12/20, waiting for 12 jobs
2025-10-22 14:36:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 8 done, running 12 = ∑12/20, new result: VAL_ACC: 10.460000, NORMALIZED_RUNTIME: 19.804000
2025-10-22 14:36:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 9 done, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-10-22 14:36:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 9 done, running 11 = ∑11/20, waiting for 11 jobs
2025-10-22 14:38:37 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 9 done, running 11 = ∑11/20, new result: VAL_ACC: 45.980000, NORMALIZED_RUNTIME: 22.220000
2025-10-22 14:38:43 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 10 done, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-10-22 14:38:43 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 10 done, running 10 = ∑10/20, waiting for 10 jobs
2025-10-22 14:41:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 10 done, running 10 = ∑10/20, new result: VAL_ACC: 40.700000, NORMALIZED_RUNTIME: 24.803000
2025-10-22 14:41:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 11 done, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-10-22 14:41:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 11 done, running 9 = ∑9/20, waiting for 9 jobs
2025-10-22 14:41:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 11 done, running 9 = ∑9/20, new result: VAL_ACC: 26.580000, NORMALIZED_RUNTIME: 24.697000
2025-10-22 14:41:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 12 done, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-10-22 14:41:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 12 done, running 8 = ∑8/20, waiting for 8 jobs
2025-10-22 14:47:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 12 done, running 8 = ∑8/20, new result: VAL_ACC: 36.960000, NORMALIZED_RUNTIME: 29.115000
2025-10-22 14:47:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 13 done, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-22 14:47:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 13 done, running 7 = ∑7/20, waiting for 7 jobs
2025-10-22 14:48:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 13 done, running 7 = ∑7/20, new result: VAL_ACC: 28.360000, NORMALIZED_RUNTIME: 30.023000
2025-10-22 14:48:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 14 done, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-10-22 14:48:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 14 done, running 6 = ∑6/20, waiting for 6 jobs
2025-10-22 14:51:42 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 14 done, running 6 = ∑6/20, new result: VAL_ACC: 32.670000, NORMALIZED_RUNTIME: 33.119000
2025-10-22 14:51:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 15 done, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-22 14:51:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 15 done, running 5 = ∑5/20, waiting for 5 jobs
2025-10-22 14:56:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 15 done, running 5 = ∑5/20, new result: VAL_ACC: 48.830000, NORMALIZED_RUNTIME: 36.504000
2025-10-22 14:56:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 16 done, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-22 14:56:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 16 done, running 4 = ∑4/20, waiting for 4 jobs
2025-10-22 14:57:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 16 done, running 4 = ∑4/20, new result: VAL_ACC: 36.660000, NORMALIZED_RUNTIME: 38.575000
2025-10-22 14:57:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 17 done, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-22 14:57:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 17 done, running 3 = ∑3/20, waiting for 3 jobs
2025-10-22 15:01:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 17 done, running 3 = ∑3/20, new result: VAL_ACC: 30.040000, NORMALIZED_RUNTIME: 41.623000
2025-10-22 15:01:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 18 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-22 15:01:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 18 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-22 15:03:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 18 done, running 2 = ∑2/20, new result: VAL_ACC: 35.820000, NORMALIZED_RUNTIME: 42.341000
2025-10-22 15:03:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 19 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-22 15:03:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 19 done, running 1 = ∑1/20, waiting for 1 job
2025-10-22 15:43:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, 19 done, timeout 1 = ∑1/20, job_failed
2025-10-22 15:43:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, waiting for 1 job, finished 1 job
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #1/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #2/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #3/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #4/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #5/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #6/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #7/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #8/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #9/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #10/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #11/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #12/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #13/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #14/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #15/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #16/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #17/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #18/20
2025-10-22 15:43:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #19/20
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, getting new HP set #20/20
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, requested 20 jobs, got 20, 0.05 s/job
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #1/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #2/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #3/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #4/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #5/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #6/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #7/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #8/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #9/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #10/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #11/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #12/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #13/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #14/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #15/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #16/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #17/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #18/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #19/20 start
2025-10-22 15:43:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, eval #20/20 start
2025-10-22 15:43:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, starting new job
2025-10-22 15:43:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, unknown 2 = ∑2/20, started new job
2025-10-22 15:43:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, unknown 3 = ∑3/20, started new job
2025-10-22 15:43:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, unknown 3 = ∑3/20, starting new job
2025-10-22 15:43:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, unknown 4 = ∑4/20, started new job
2025-10-22 15:43:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, unknown 4 = ∑4/20, starting new job
2025-10-22 15:43:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, unknown 5 = ∑5/20, started new job
2025-10-22 15:43:56 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/unknown 5/7 = ∑12/20, started new job
2025-10-22 15:43:57 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/unknown 5/8 = ∑13/20, started new job
2025-10-22 15:43:57 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/unknown 5/9 = ∑14/20, started new job
2025-10-22 15:43:57 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/unknown 5/10 = ∑15/20, started new job
2025-10-22 15:43:57 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/unknown 5/12 = ∑17/20, started new job
2025-10-22 15:43:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/unknown 5/13 = ∑18/20, started new job
2025-10-22 15:43:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/unknown 5/14 = ∑19/20, started new job
2025-10-22 15:43:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/unknown 5/15 = ∑20/20, started new job
2025-10-22 15:43:59 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/unknown 5/15 = ∑20/20, waiting for 20 jobs
2025-10-22 15:44:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/pending 5/15 = ∑20/20, waiting for 20 jobs
2025-10-22 15:44:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/pending 9/11 = ∑20/20, waiting for 20 jobs
2025-10-22 15:45:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running/pending 14/6 = ∑20/20, waiting for 20 jobs
2025-10-22 15:47:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-22 15:51:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 19 done, running 20 = ∑20/20, new result: VAL_ACC: 32.620000, NORMALIZED_RUNTIME: 4.662000
2025-10-22 15:51:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 20 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-22 15:51:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 20 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-22 15:53:21 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 20 done, running 19 = ∑19/20, new result: VAL_ACC: 28.560000, NORMALIZED_RUNTIME: 5.753000
2025-10-22 15:53:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 21 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-22 15:53:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 21 done, running 18 = ∑18/20, waiting for 18 jobs
2025-10-22 15:54:20 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 21 done, running 18 = ∑18/20, new result: VAL_ACC: 44.350000, NORMALIZED_RUNTIME: 8.541000
2025-10-22 15:54:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 22 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-22 15:54:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 22 done, running 17 = ∑17/20, waiting for 17 jobs
2025-10-22 15:57:21 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 22 done, running 17 = ∑17/20, new result: VAL_ACC: 44.220000, NORMALIZED_RUNTIME: 9.267000
2025-10-22 15:57:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 23 done, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-22 15:57:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 23 done, running 16 = ∑16/20, waiting for 16 jobs
2025-10-22 16:01:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 23 done, running 16 = ∑16/20, new result: VAL_ACC: 12.400000, NORMALIZED_RUNTIME: 14.244000
2025-10-22 16:01:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 24 done, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-22 16:01:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 24 done, running 15 = ∑15/20, waiting for 15 jobs
2025-10-22 16:03:27 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 24 done, running 15 = ∑15/20, new result: VAL_ACC: 28.520000, NORMALIZED_RUNTIME: 16.041000
2025-10-22 16:03:35 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 25 done, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-22 16:03:35 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 25 done, running 14 = ∑14/20, waiting for 14 jobs
2025-10-22 16:04:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 25 done, running 14 = ∑14/20, new result: VAL_ACC: 36.740000, NORMALIZED_RUNTIME: 16.153000
2025-10-22 16:04:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 26 done, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-22 16:04:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 26 done, running 13 = ∑13/20, waiting for 13 jobs
2025-10-22 16:07:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 26 done, running 13 = ∑13/20, new result: VAL_ACC: 19.000000, NORMALIZED_RUNTIME: 17.720000
2025-10-22 16:07:37 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 27 done, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-10-22 16:07:37 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 27 done, running 12 = ∑12/20, waiting for 12 jobs
2025-10-22 16:08:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 27 done, running 12 = ∑12/20, new result: VAL_ACC: 46.120000, NORMALIZED_RUNTIME: 18.931000
2025-10-22 16:08:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 28 done, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-10-22 16:08:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 28 done, running 11 = ∑11/20, waiting for 11 jobs
2025-10-22 16:13:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 28 done, running 11 = ∑11/20, new result: VAL_ACC: 48.330000, NORMALIZED_RUNTIME: 23.561000
2025-10-22 16:13:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 29 done, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-10-22 16:13:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 29 done, running 10 = ∑10/20, waiting for 10 jobs
2025-10-22 16:14:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 29 done, running 10 = ∑10/20, new result: VAL_ACC: 38.280000, NORMALIZED_RUNTIME: 24.642000
2025-10-22 16:14:42 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 30 done, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-10-22 16:14:42 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 30 done, running 9 = ∑9/20, waiting for 9 jobs
2025-10-22 16:18:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 30 done, running 9 = ∑9/20, new result: VAL_ACC: 51.430000, NORMALIZED_RUNTIME: 27.286000
2025-10-22 16:18:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 31 done, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-10-22 16:18:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 31 done, running 8 = ∑8/20, waiting for 8 jobs
2025-10-22 16:20:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 31 done, running 8 = ∑8/20, new result: VAL_ACC: 40.690000, NORMALIZED_RUNTIME: 30.299000
2025-10-22 16:20:37 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 32 done, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-22 16:20:37 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 32 done, running 7 = ∑7/20, waiting for 7 jobs
2025-10-22 16:20:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 32 done, running 7 = ∑7/20, new result: VAL_ACC: 14.720000, NORMALIZED_RUNTIME: 28.908000
2025-10-22 16:21:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 33 done, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-10-22 16:21:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 33 done, running 6 = ∑6/20, waiting for 6 jobs
2025-10-22 16:21:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 33 done, running 6 = ∑6/20, new result: VAL_ACC: 49.530000, NORMALIZED_RUNTIME: 29.294000
2025-10-22 16:21:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 34 done, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-22 16:21:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 34 done, running 5 = ∑5/20, waiting for 5 jobs
2025-10-22 16:28:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 34 done, running 5 = ∑5/20, new result: VAL_ACC: 39.920000, NORMALIZED_RUNTIME: 35.832000
2025-10-22 16:28:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 35 done, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-22 16:28:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 35 done, running 4 = ∑4/20, waiting for 4 jobs
2025-10-22 16:28:45 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 35 done, running 4 = ∑4/20, new result: VAL_ACC: 45.280000, NORMALIZED_RUNTIME: 35.436000
2025-10-22 16:28:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 36 done, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-22 16:28:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 36 done, running 3 = ∑3/20, waiting for 3 jobs
2025-10-22 16:30:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 36 done, running 3 = ∑3/20, new result: VAL_ACC: 24.050000, NORMALIZED_RUNTIME: 37.812000
2025-10-22 16:30:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 37 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-22 16:30:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 37 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-22 16:33:57 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 37 done, running 2 = ∑2/20, new result: VAL_ACC: 50.500000, NORMALIZED_RUNTIME: 40.269000
2025-10-22 16:34:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 38 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-22 16:34:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 38 done, running 1 = ∑1/20, waiting for 1 job
2025-10-22 16:35:47 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 38 done, running 1 = ∑1/20, new result: VAL_ACC: 44.300000, NORMALIZED_RUNTIME: 42.828000
2025-10-22 16:35:57 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, waiting for 1 job, finished 1 job
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #1/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #2/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #3/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #4/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #5/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #6/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #7/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #8/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #9/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #10/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #11/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #12/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #13/20
2025-10-22 16:37:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #14/20
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #15/20
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #16/20
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #17/20
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #18/20
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #19/20
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, getting new HP set #20/20
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, requested 20 jobs, got 20, 3.74 s/job
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #1/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #2/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #3/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #4/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #5/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #6/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #7/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #8/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #9/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #10/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #11/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #12/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #13/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #14/20 start
2025-10-22 16:37:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #15/20 start
2025-10-22 16:37:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #16/20 start
2025-10-22 16:37:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #17/20 start
2025-10-22 16:37:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #18/20 start
2025-10-22 16:37:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #19/20 start
2025-10-22 16:37:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, eval #20/20 start
2025-10-22 16:37:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, starting new job
2025-10-22 16:37:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, unknown 1 = ∑1/20, started new job
2025-10-22 16:37:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, unknown 1 = ∑1/20, starting new job
2025-10-22 16:37:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, unknown 2 = ∑2/20, started new job
2025-10-22 16:37:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, unknown 2 = ∑2/20, starting new job
2025-10-22 16:37:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/3 = ∑5/20, started new job
2025-10-22 16:37:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/3 = ∑5/20, starting new job
2025-10-22 16:37:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/5 = ∑7/20, started new job
2025-10-22 16:37:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/6 = ∑8/20, started new job
2025-10-22 16:37:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/8 = ∑10/20, started new job
2025-10-22 16:37:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/9 = ∑11/20, started new job
2025-10-22 16:37:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/10 = ∑12/20, started new job
2025-10-22 16:37:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/11 = ∑13/20, started new job
2025-10-22 16:37:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/14 = ∑16/20, started new job
2025-10-22 16:37:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/15 = ∑17/20, started new job
2025-10-22 16:37:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/16 = ∑18/20, started new job
2025-10-22 16:37:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/18 = ∑20/20, started new job
2025-10-22 16:37:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, pending/unknown 2/18 = ∑20/20, waiting for 20 jobs
2025-10-22 16:37:20 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, running/pending/unknown 1/1/18 = ∑20/20, waiting for 20 jobs
2025-10-22 16:37:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, running/pending 1/19 = ∑20/20, waiting for 20 jobs
2025-10-22 16:38:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, running/pending 3/17 = ∑20/20, waiting for 20 jobs
2025-10-22 16:38:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, running/pending 13/7 = ∑20/20, waiting for 20 jobs
2025-10-22 16:40:07 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 39 done, running/pending 13/7 = ∑20/20, new result: VAL_ACC: 41.120000, NORMALIZED_RUNTIME: 1.874000
2025-10-22 16:40:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 40 done, running/pending 12/7 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-22 16:40:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 40 done, running/pending 12/7 = ∑19/20, waiting for 19 jobs
2025-10-22 16:40:20 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 40 done, running/pending 12/7 = ∑19/20, new result: VAL_ACC: 40.680000, NORMALIZED_RUNTIME: 1.886000
2025-10-22 16:40:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 41 done, completed/running 1/17 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-22 16:40:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 41 done, completed/running 1/17 = ∑18/20, waiting for 18 jobs
2025-10-22 16:40:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 41 done, completed/running 1/17 = ∑18/20, new result: VAL_ACC: 40.730000, NORMALIZED_RUNTIME: 1.860000
2025-10-22 16:40:40 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 42 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-22 16:40:40 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 42 done, running 17 = ∑17/20, waiting for 17 jobs
2025-10-22 16:40:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 42 done, running 17 = ∑17/20, new result: VAL_ACC: 39.520000, NORMALIZED_RUNTIME: 1.878000
2025-10-22 16:40:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 42 done, running 17 = ∑17/20, new result: VAL_ACC: 41.360000, NORMALIZED_RUNTIME: 1.862000
2025-10-22 16:41:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 44 done, running 15 = ∑15/20, waiting for 17 jobs, finished 2 jobs
2025-10-22 16:41:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 44 done, running 15 = ∑15/20, waiting for 15 jobs
2025-10-22 16:41:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 44 done, running 15 = ∑15/20, new result: VAL_ACC: 39.480000, NORMALIZED_RUNTIME: 1.876000
2025-10-22 16:41:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 44 done, running 15 = ∑15/20, new result: VAL_ACC: 40.180000, NORMALIZED_RUNTIME: 1.909000
2025-10-22 16:41:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 44 done, running 15 = ∑15/20, new result: VAL_ACC: 40.990000, NORMALIZED_RUNTIME: 1.911000
2025-10-22 16:41:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 47 done, running 12 = ∑12/20, waiting for 15 jobs, finished 3 jobs
2025-10-22 16:41:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 47 done, running 12 = ∑12/20, waiting for 12 jobs
2025-10-22 16:41:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 47 done, running 12 = ∑12/20, new result: VAL_ACC: 41.290000, NORMALIZED_RUNTIME: 1.907000
2025-10-22 16:41:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 47 done, running 12 = ∑12/20, new result: VAL_ACC: 40.230000, NORMALIZED_RUNTIME: 1.931000
2025-10-22 16:41:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 47 done, running 12 = ∑12/20, new result: VAL_ACC: 39.330000, NORMALIZED_RUNTIME: 1.891000
2025-10-22 16:41:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 47 done, running 12 = ∑12/20, new result: VAL_ACC: 41.390000, NORMALIZED_RUNTIME: 1.923000
2025-10-22 16:41:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 47 done, running 12 = ∑12/20, new result: VAL_ACC: 40.920000, NORMALIZED_RUNTIME: 1.929000
2025-10-22 16:41:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 47 done, running 12 = ∑12/20, new result: VAL_ACC: 41.060000, NORMALIZED_RUNTIME: 1.867000
2025-10-22 16:41:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 53 done, running 6 = ∑6/20, waiting for 12 jobs, finished 6 jobs
2025-10-22 16:41:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 53 done, running 6 = ∑6/20, waiting for 6 jobs
2025-10-22 16:42:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 53 done, running 6 = ∑6/20, new result: VAL_ACC: 39.910000, NORMALIZED_RUNTIME: 1.921000
2025-10-22 16:42:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 53 done, running 6 = ∑6/20, new result: VAL_ACC: 41.450000, NORMALIZED_RUNTIME: 1.943000
2025-10-22 16:42:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 53 done, running 6 = ∑6/20, new result: VAL_ACC: 38.940000, NORMALIZED_RUNTIME: 1.901000
2025-10-22 16:42:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 53 done, running 6 = ∑6/20, new result: VAL_ACC: 40.220000, NORMALIZED_RUNTIME: 1.894000
2025-10-22 16:42:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 53 done, running 6 = ∑6/20, new result: VAL_ACC: 41.030000, NORMALIZED_RUNTIME: 1.954000
2025-10-22 16:42:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 53 done, running 6 = ∑6/20, new result: VAL_ACC: 40.660000, NORMALIZED_RUNTIME: 1.885000
2025-10-22 16:42:35 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, waiting for 6 jobs, finished 6 jobs
2025-10-22 16:44:59 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #1/20
2025-10-22 16:44:59 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #2/20
2025-10-22 16:44:59 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #3/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #4/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #5/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #6/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #7/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #8/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #9/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #10/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #11/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #12/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #13/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #14/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #15/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #16/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #17/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #18/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #19/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, getting new HP set #20/20
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, requested 20 jobs, got 20, 7.27 s/job
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #1/20 start
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #2/20 start
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #3/20 start
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #4/20 start
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #5/20 start
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #6/20 start
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #7/20 start
2025-10-22 16:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #8/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #9/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #10/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #11/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #12/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #13/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #14/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #15/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #16/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #17/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #18/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #19/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, eval #20/20 start
2025-10-22 16:45:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, starting new job
2025-10-22 16:45:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 1 = ∑1/20, started new job
2025-10-22 16:45:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 2 = ∑2/20, started new job
2025-10-22 16:45:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 2 = ∑2/20, starting new job
2025-10-22 16:45:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 1 = ∑1/20, starting new job
2025-10-22 16:45:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 4 = ∑4/20, started new job
2025-10-22 16:45:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 4 = ∑4/20, starting new job
2025-10-22 16:45:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 5 = ∑5/20, started new job
2025-10-22 16:45:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 6 = ∑6/20, started new job
2025-10-22 16:45:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 7 = ∑7/20, started new job
2025-10-22 16:45:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 9 = ∑9/20, started new job
2025-10-22 16:45:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 10 = ∑10/20, started new job
2025-10-22 16:45:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 11 = ∑11/20, started new job
2025-10-22 16:45:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 12 = ∑12/20, started new job
2025-10-22 16:45:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 13 = ∑13/20, started new job
2025-10-22 16:45:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 14 = ∑14/20, started new job
2025-10-22 16:45:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 15 = ∑15/20, started new job
2025-10-22 16:45:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 16 = ∑16/20, started new job
2025-10-22 16:45:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, unknown 17 = ∑17/20, started new job
2025-10-22 16:45:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, running/pending/unknown 2/15/3 = ∑20/20, started new job
2025-10-22 16:45:07 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, running/pending/unknown 2/15/3 = ∑20/20, waiting for 20 jobs
2025-10-22 16:45:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, running/pending 2/18 = ∑20/20, waiting for 20 jobs
2025-10-22 16:46:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, running/pending 9/11 = ∑20/20, waiting for 20 jobs
2025-10-22 16:47:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-22 16:48:07 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 59 done, running 20 = ∑20/20, new result: VAL_ACC: 13.700000, NORMALIZED_RUNTIME: 1.884000
2025-10-22 16:48:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 60 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-22 16:48:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 60 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-22 16:48:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 60 done, running 19 = ∑19/20, new result: VAL_ACC: 24.290000, NORMALIZED_RUNTIME: 2.007000
2025-10-22 16:48:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 61 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-22 16:48:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 61 done, running 18 = ∑18/20, waiting for 18 jobs
2025-10-22 16:48:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 61 done, running 18 = ∑18/20, new result: VAL_ACC: 14.990000, NORMALIZED_RUNTIME: 1.882000
2025-10-22 16:48:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 62 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-22 16:48:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 62 done, running 17 = ∑17/20, waiting for 17 jobs
2025-10-22 16:48:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 62 done, running 17 = ∑17/20, new result: VAL_ACC: 15.460000, NORMALIZED_RUNTIME: 1.916000
2025-10-22 16:48:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 62 done, running 17 = ∑17/20, new result: VAL_ACC: 15.560000, NORMALIZED_RUNTIME: 1.904000
2025-10-22 16:49:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 64 done, running 15 = ∑15/20, waiting for 17 jobs, finished 2 jobs
2025-10-22 16:49:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 64 done, running 15 = ∑15/20, waiting for 15 jobs
2025-10-22 16:49:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 64 done, running 15 = ∑15/20, new result: VAL_ACC: 16.890000, NORMALIZED_RUNTIME: 2.211000
2025-10-22 16:49:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 64 done, running 15 = ∑15/20, new result: VAL_ACC: 19.020000, NORMALIZED_RUNTIME: 2.607000
2025-10-22 16:49:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 64 done, running 15 = ∑15/20, new result: VAL_ACC: 23.390000, NORMALIZED_RUNTIME: 2.256000
2025-10-22 16:49:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 64 done, running 15 = ∑15/20, new result: VAL_ACC: 30.670000, NORMALIZED_RUNTIME: 2.309000
2025-10-22 16:49:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 68 done, completed/running 6/5 = ∑11/20, waiting for 15 jobs, finished 4 jobs
2025-10-22 16:49:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 68 done, completed/running 6/5 = ∑11/20, waiting for 11 jobs
2025-10-22 16:49:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 68 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 28.780000, NORMALIZED_RUNTIME: 3.100000
2025-10-22 16:49:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 68 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 32.000000, NORMALIZED_RUNTIME: 1.925000
2025-10-22 16:49:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 68 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 21.710000, NORMALIZED_RUNTIME: 2.318000
2025-10-22 16:49:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 68 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 15.860000, NORMALIZED_RUNTIME: 1.936000
2025-10-22 16:49:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 68 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 17.230000, NORMALIZED_RUNTIME: 2.234000
2025-10-22 16:49:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 68 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 24.790000, NORMALIZED_RUNTIME: 1.949000
2025-10-22 16:50:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 74 done, running 5 = ∑5/20, waiting for 11 jobs, finished 6 jobs
2025-10-22 16:50:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 74 done, running 5 = ∑5/20, waiting for 5 jobs
2025-10-22 16:50:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 74 done, running 5 = ∑5/20, new result: VAL_ACC: 25.340000, NORMALIZED_RUNTIME: 3.309000
2025-10-22 16:50:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 74 done, running 5 = ∑5/20, new result: VAL_ACC: 23.480000, NORMALIZED_RUNTIME: 3.076000
2025-10-22 16:50:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 76 done, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-10-22 16:50:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 76 done, running 3 = ∑3/20, waiting for 3 jobs
2025-10-22 16:50:37 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 76 done, running 3 = ∑3/20, new result: VAL_ACC: 36.270000, NORMALIZED_RUNTIME: 4.092000
2025-10-22 16:50:48 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 77 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-22 16:50:48 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 77 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-22 16:51:50 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 77 done, running 2 = ∑2/20, new result: VAL_ACC: 38.500000, NORMALIZED_RUNTIME: 4.149000
2025-10-22 16:52:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 78 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-22 16:52:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 78 done, running 1 = ∑1/20, waiting for 1 job
2025-10-22 16:59:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 78 done, running 1 = ∑1/20, new result: VAL_ACC: 48.310000, NORMALIZED_RUNTIME: 10.750000
2025-10-22 16:59:41 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, waiting for 1 job, finished 1 job
2025-10-22 17:02:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #1/20
2025-10-22 17:02:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #2/20
2025-10-22 17:02:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #3/20
2025-10-22 17:02:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #4/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #5/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #6/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #7/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #8/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #9/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #10/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #11/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #12/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #13/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #14/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #15/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #16/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #17/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #18/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #19/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, getting new HP set #20/20
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, requested 20 jobs, got 20, 8.44 s/job
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #1/20 start
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #2/20 start
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #3/20 start
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #4/20 start
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #5/20 start
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #6/20 start
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #7/20 start
2025-10-22 17:02:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #8/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #9/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #10/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #11/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #12/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #13/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #14/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #15/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #16/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #17/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #18/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #19/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, eval #20/20 start
2025-10-22 17:02:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, starting new job
2025-10-22 17:02:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, unknown 1 = ∑1/20, started new job
2025-10-22 17:02:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running 1 = ∑1/20, starting new job
2025-10-22 17:02:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/5 = ∑6/20, started new job
2025-10-22 17:02:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/5 = ∑6/20, starting new job
2025-10-22 17:02:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/8 = ∑9/20, started new job
2025-10-22 17:02:34 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/9 = ∑10/20, started new job
2025-10-22 17:02:34 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/10 = ∑11/20, started new job
2025-10-22 17:02:34 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/11 = ∑12/20, started new job
2025-10-22 17:02:34 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/12 = ∑13/20, started new job
2025-10-22 17:02:35 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/13 = ∑14/20, started new job
2025-10-22 17:02:35 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/14 = ∑15/20, started new job
2025-10-22 17:02:35 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/16 = ∑17/20, started new job
2025-10-22 17:02:36 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/17 = ∑18/20, started new job
2025-10-22 17:02:36 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/18 = ∑19/20, started new job
2025-10-22 17:02:36 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/19 = ∑20/20, started new job
2025-10-22 17:02:37 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/unknown 1/19 = ∑20/20, waiting for 20 jobs
2025-10-22 17:02:39 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/pending 1/19 = ∑20/20, waiting for 20 jobs
2025-10-22 17:03:09 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/pending 4/16 = ∑20/20, waiting for 20 jobs
2025-10-22 17:03:43 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running/pending 14/6 = ∑20/20, waiting for 20 jobs
2025-10-22 17:04:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-22 17:05:10 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 79 done, running 20 = ∑20/20, new result: VAL_ACC: 10.470000, NORMALIZED_RUNTIME: 1.796000
2025-10-22 17:05:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 80 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-22 17:05:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 80 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-22 17:05:39 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 80 done, running 19 = ∑19/20, new result: VAL_ACC: 40.660000, NORMALIZED_RUNTIME: 1.870000
2025-10-22 17:05:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 81 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-22 17:05:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 81 done, running 18 = ∑18/20, waiting for 18 jobs
2025-10-22 17:05:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 81 done, running 18 = ∑18/20, new result: VAL_ACC: 35.460000, NORMALIZED_RUNTIME: 1.915000
2025-10-22 17:05:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 81 done, running 18 = ∑18/20, new result: VAL_ACC: 40.060000, NORMALIZED_RUNTIME: 1.949000
2025-10-22 17:06:10 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 83 done, running 16 = ∑16/20, waiting for 18 jobs, finished 2 jobs
2025-10-22 17:06:10 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 83 done, running 16 = ∑16/20, waiting for 16 jobs
2025-10-22 17:06:10 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 83 done, running 16 = ∑16/20, new result: VAL_ACC: 35.390000, NORMALIZED_RUNTIME: 1.849000
2025-10-22 17:06:10 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 83 done, running 16 = ∑16/20, new result: VAL_ACC: 33.260000, NORMALIZED_RUNTIME: 1.876000
2025-10-22 17:06:10 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 83 done, running 16 = ∑16/20, new result: VAL_ACC: 32.430000, NORMALIZED_RUNTIME: 1.849000
2025-10-22 17:06:34 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 86 done, running 13 = ∑13/20, waiting for 16 jobs, finished 3 jobs
2025-10-22 17:06:34 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 86 done, running 13 = ∑13/20, waiting for 13 jobs
2025-10-22 17:06:35 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 86 done, running 13 = ∑13/20, new result: VAL_ACC: 32.190000, NORMALIZED_RUNTIME: 1.856000
2025-10-22 17:06:35 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 86 done, running 13 = ∑13/20, new result: VAL_ACC: 36.820000, NORMALIZED_RUNTIME: 1.977000
2025-10-22 17:06:35 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 86 done, running 13 = ∑13/20, new result: VAL_ACC: 18.840000, NORMALIZED_RUNTIME: 1.919000
2025-10-22 17:07:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 89 done, running 10 = ∑10/20, waiting for 13 jobs, finished 3 jobs
2025-10-22 17:07:01 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 89 done, running 10 = ∑10/20, waiting for 10 jobs
2025-10-22 17:07:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 89 done, running 10 = ∑10/20, new result: VAL_ACC: 32.010000, NORMALIZED_RUNTIME: 1.840000
2025-10-22 17:07:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 89 done, running 10 = ∑10/20, new result: VAL_ACC: 34.530000, NORMALIZED_RUNTIME: 1.855000
2025-10-22 17:07:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 89 done, running 10 = ∑10/20, new result: VAL_ACC: 34.490000, NORMALIZED_RUNTIME: 1.869000
2025-10-22 17:07:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 89 done, running 10 = ∑10/20, new result: VAL_ACC: 33.840000, NORMALIZED_RUNTIME: 1.878000
2025-10-22 17:07:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 89 done, running 10 = ∑10/20, new result: VAL_ACC: 32.480000, NORMALIZED_RUNTIME: 1.849000
2025-10-22 17:07:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 89 done, running 10 = ∑10/20, new result: VAL_ACC: 28.680000, NORMALIZED_RUNTIME: 1.880000
2025-10-22 17:07:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 95 done, running/completed 3/1 = ∑4/20, waiting for 10 jobs, finished 6 jobs
2025-10-22 17:07:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 95 done, running/completed 3/1 = ∑4/20, waiting for 4 jobs
2025-10-22 17:07:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 95 done, running/completed 3/1 = ∑4/20, new result: VAL_ACC: 35.980000, NORMALIZED_RUNTIME: 2.842000
2025-10-22 17:08:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 96 done, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-22 17:08:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 96 done, running 3 = ∑3/20, waiting for 3 jobs
2025-10-22 17:08:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 96 done, running 3 = ∑3/20, new result: VAL_ACC: 47.250000, NORMALIZED_RUNTIME: 3.328000
2025-10-22 17:08:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 97 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-22 17:08:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 97 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-22 17:08:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 97 done, running 2 = ∑2/20, new result: VAL_ACC: 34.720000, NORMALIZED_RUNTIME: 3.187000
2025-10-22 17:08:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 98 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-22 17:08:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 98 done, running 1 = ∑1/20, waiting for 1 job
2025-10-22 17:09:37 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 98 done, running 1 = ∑1/20, new result: VAL_ACC: 44.550000, NORMALIZED_RUNTIME: 4.742000
2025-10-22 17:09:50 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, waiting for 1 job, finished 1 job
2025-10-22 17:15:48 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #1/20
2025-10-22 17:15:48 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #2/20
2025-10-22 17:15:48 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #3/20
2025-10-22 17:15:48 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #4/20
2025-10-22 17:15:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #5/20
2025-10-22 17:15:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #6/20
2025-10-22 17:15:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #7/20
2025-10-22 17:15:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #8/20
2025-10-22 17:15:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #9/20
2025-10-22 17:15:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #10/20
2025-10-22 17:15:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #11/20
2025-10-22 17:17:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #12/20
2025-10-22 17:19:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, getting new HP set #13/20
2025-10-22 17:19:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, requested 20 jobs, got 12, 32.78 s/job
2025-10-22 17:19:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #1/12 start
2025-10-22 17:19:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #2/12 start
2025-10-22 17:19:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #3/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #4/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #5/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #6/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #7/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #8/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #9/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #10/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #11/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, eval #12/12 start
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, starting new job
2025-10-22 17:19:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, unknown 1 = ∑1/20, started new job
2025-10-22 17:19:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, unknown 2 = ∑2/20, started new job
2025-10-22 17:19:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, unknown 3 = ∑3/20, started new job
2025-10-22 17:19:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, unknown 4 = ∑4/20, started new job
2025-10-22 17:19:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, unknown 6 = ∑6/20, started new job
2025-10-22 17:19:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, unknown 6 = ∑6/20, waiting for 6 jobs
2025-10-22 17:19:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, pending 6 = ∑6/20, waiting for 6 jobs
2025-10-22 17:19:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, running/pending 2/4 = ∑6/20, waiting for 6 jobs
2025-10-22 17:20:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, running/pending 3/3 = ∑6/20, waiting for 6 jobs
2025-10-22 17:21:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, running 6 = ∑6/20, waiting for 6 jobs
2025-10-22 17:22:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 99 done, running 6 = ∑6/20, new result: VAL_ACC: 2.240000, NORMALIZED_RUNTIME: 1.978000
2025-10-22 17:22:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 100 done, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-22 17:22:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 100 done, running 5 = ∑5/20, waiting for 5 jobs
2025-10-22 17:22:56 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 100 done, running 5 = ∑5/20, new result: VAL_ACC: 14.060000, NORMALIZED_RUNTIME: 1.813000
2025-10-22 17:22:56 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 100 done, running 5 = ∑5/20, new result: VAL_ACC: 13.220000, NORMALIZED_RUNTIME: 1.811000
2025-10-22 17:23:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 102 done, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-10-22 17:23:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 102 done, running 3 = ∑3/20, waiting for 3 jobs
2025-10-22 17:23:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 102 done, running 3 = ∑3/20, new result: VAL_ACC: 14.870000, NORMALIZED_RUNTIME: 1.876000
2025-10-22 17:23:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 103 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-22 17:23:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 103 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-22 17:25:20 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 103 done, running 2 = ∑2/20, new result: VAL_ACC: 41.850000, NORMALIZED_RUNTIME: 4.448000
2025-10-22 17:25:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 104 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-22 17:25:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 104 done, running 1 = ∑1/20, waiting for 1 job
2025-10-22 17:27:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 104 done, running 1 = ∑1/20, new result: VAL_ACC: 47.350000, NORMALIZED_RUNTIME: 6.924000
2025-10-22 17:28:08 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, waiting for 1 job, finished 1 job
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #1/20
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #2/20
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #3/20
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #4/20
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #5/20
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #6/20
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #7/20
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #8/20
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #9/20
2025-10-22 17:31:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #10/20
2025-10-22 17:31:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #11/20
2025-10-22 17:31:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #12/20
2025-10-22 17:31:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #13/20
2025-10-22 17:31:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #14/20
2025-10-22 17:33:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, getting new HP set #15/20
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, requested 20 jobs, got 14, 30.62 s/job
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #1/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #2/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #3/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #4/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #5/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #6/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #7/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #8/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #9/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #10/14 start
2025-10-22 17:35:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #11/14 start
2025-10-22 17:35:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #12/14 start
2025-10-22 17:35:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #13/14 start
2025-10-22 17:35:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, eval #14/14 start
2025-10-22 17:35:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, starting new job
2025-10-22 17:35:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, unknown 1 = ∑1/20, started new job
2025-10-22 17:35:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, unknown 3 = ∑3/20, started new job
2025-10-22 17:35:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, unknown 3 = ∑3/20, waiting for 3 jobs
2025-10-22 17:35:21 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, pending 3 = ∑3/20, waiting for 3 jobs
2025-10-22 17:38:14 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, running 3 = ∑3/20, waiting for 3 jobs
2025-10-22 17:44:47 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 105 done, running 3 = ∑3/20, new result: VAL_ACC: 50.680000, NORMALIZED_RUNTIME: 5.842000
2025-10-22 17:44:59 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 106 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-22 17:44:59 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 106 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-22 17:45:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 106 done, running 2 = ∑2/20, new result: VAL_ACC: 50.280000, NORMALIZED_RUNTIME: 6.016000
2025-10-22 17:45:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 107 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-22 17:45:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 107 done, running 1 = ∑1/20, waiting for 1 job
2025-10-22 17:45:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 107 done, running 1 = ∑1/20, new result: VAL_ACC: 52.250000, NORMALIZED_RUNTIME: 6.140000
2025-10-22 17:45:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, waiting for 1 job, finished 1 job
2025-10-22 17:48:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 17:48:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #2/20
2025-10-22 17:48:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #3/20
2025-10-22 17:48:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #4/20
2025-10-22 17:48:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #5/20
2025-10-22 17:48:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #6/20
2025-10-22 17:51:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #7/20
2025-10-22 17:51:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 6, 60.52 s/job
2025-10-22 17:51:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, eval #1/6 start
2025-10-22 17:51:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, eval #2/6 start
2025-10-22 17:51:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, eval #3/6 start
2025-10-22 17:51:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, eval #4/6 start
2025-10-22 17:51:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, eval #5/6 start
2025-10-22 17:51:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, eval #6/6 start
2025-10-22 17:54:59 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 17:55:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 17:55:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 1 zero-jobs (max: 50)
2025-10-22 17:58:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 17:58:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 17:58:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 2 zero-jobs (max: 50)
2025-10-22 18:01:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:01:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:01:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 3 zero-jobs (max: 50)
2025-10-22 18:05:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:05:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:05:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 4 zero-jobs (max: 50)
2025-10-22 18:08:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:08:50 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:08:51 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 5 zero-jobs (max: 50)
2025-10-22 18:12:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:12:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:12:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 6 zero-jobs (max: 50)
2025-10-22 18:15:42 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:15:43 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:15:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 7 zero-jobs (max: 50)
2025-10-22 18:18:57 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:18:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:18:59 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 8 zero-jobs (max: 50)
2025-10-22 18:22:29 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:22:30 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:22:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 9 zero-jobs (max: 50)
2025-10-22 18:25:56 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:25:57 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:25:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 10 zero-jobs (max: 50)
2025-10-22 18:29:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:29:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:29:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 11 zero-jobs (max: 50)
2025-10-22 18:32:48 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:32:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:32:50 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 12 zero-jobs (max: 50)
2025-10-22 18:36:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:36:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:36:20 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 13 zero-jobs (max: 50)
2025-10-22 18:39:58 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:39:59 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:40:00 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 14 zero-jobs (max: 50)
2025-10-22 18:43:45 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:43:46 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:43:47 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 15 zero-jobs (max: 50)
2025-10-22 18:47:08 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:47:09 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:47:10 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 16 zero-jobs (max: 50)
2025-10-22 18:50:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:50:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:50:34 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 17 zero-jobs (max: 50)
2025-10-22 18:53:48 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:53:49 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:53:50 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 18 zero-jobs (max: 50)
2025-10-22 18:57:02 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 18:57:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 18:57:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 19 zero-jobs (max: 50)
2025-10-22 19:00:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:00:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:00:40 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 20 zero-jobs (max: 50)
2025-10-22 19:04:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:04:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:04:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 21 zero-jobs (max: 50)
2025-10-22 19:07:45 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:07:46 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:07:47 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 22 zero-jobs (max: 50)
2025-10-22 19:11:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:11:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:11:07 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 23 zero-jobs (max: 50)
2025-10-22 19:14:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:14:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:14:28 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 24 zero-jobs (max: 50)
2025-10-22 19:17:40 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:17:41 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:17:42 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 25 zero-jobs (max: 50)
2025-10-22 19:20:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:20:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:20:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 26 zero-jobs (max: 50)
2025-10-22 19:24:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:24:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:24:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 27 zero-jobs (max: 50)
2025-10-22 19:27:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:27:25 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:27:26 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 28 zero-jobs (max: 50)
2025-10-22 19:33:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:33:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:33:12 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 29 zero-jobs (max: 50)
2025-10-22 19:36:36 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:36:37 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:36:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 30 zero-jobs (max: 50)
2025-10-22 19:39:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:39:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:39:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 31 zero-jobs (max: 50)
2025-10-22 19:43:40 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:43:41 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:43:42 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 32 zero-jobs (max: 50)
2025-10-22 19:47:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:47:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:47:13 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 33 zero-jobs (max: 50)
2025-10-22 19:50:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:50:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:50:34 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 34 zero-jobs (max: 50)
2025-10-22 19:54:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:54:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:54:06 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 35 zero-jobs (max: 50)
2025-10-22 19:57:39 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 19:57:40 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 19:57:41 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 36 zero-jobs (max: 50)
2025-10-22 20:01:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:01:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:01:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 37 zero-jobs (max: 50)
2025-10-22 20:04:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:04:45 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:04:46 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 38 zero-jobs (max: 50)
2025-10-22 20:08:09 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:08:09 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:08:11 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 39 zero-jobs (max: 50)
2025-10-22 20:11:31 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:11:32 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:11:33 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 40 zero-jobs (max: 50)
2025-10-22 20:14:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:14:45 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:14:46 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 41 zero-jobs (max: 50)
2025-10-22 20:18:03 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:18:04 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:18:05 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 42 zero-jobs (max: 50)
2025-10-22 20:21:36 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:21:36 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:21:38 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 43 zero-jobs (max: 50)
2025-10-22 20:25:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:25:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:25:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 44 zero-jobs (max: 50)
2025-10-22 20:28:43 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:28:44 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:28:45 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 45 zero-jobs (max: 50)
2025-10-22 20:32:18 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:32:19 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:32:20 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 46 zero-jobs (max: 50)
2025-10-22 20:35:52 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:35:53 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:35:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 47 zero-jobs (max: 50)
2025-10-22 20:39:15 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:39:16 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:39:17 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 48 zero-jobs (max: 50)
2025-10-22 20:42:54 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:42:55 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:42:56 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 49 zero-jobs (max: 50)
2025-10-22 20:46:22 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, getting new HP set #1/20
2025-10-22 20:46:23 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, requested 20 jobs, got 0, n/a
2025-10-22 20:46:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, found 50 zero-jobs (max: 50)
2025-10-22 20:46:24 (71e90e84-0653-49fa-93c3-29ef26cacb94): SOBOL, failed: 1, 108 done, 50 empty jobs (>= 50)
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 5.110 │ 20 │ 0.256 │
│ 2 │ 4.831 │ 20 │ 0.242 │
│ 3 │ 4.665 │ 20 │ 0.233 │
│ 4 │ 5.320 │ 20 │ 0.266 │
│ 5 │ 4.658 │ 20 │ 0.233 │
│ 6 │ 1.470 │ 12 │ 0.123 │
│ 7 │ 0.771 │ 14 │ 0.055 │
│ 8 │ 0.021 │ 6 │ 0.004 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 3.356 │ │ │
│ Median │ 4.661 │ │ │
│ Total │ 26.846 │ │ │
│ Max │ 5.320 │ │ │
│ Min │ 0.021 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.759 │ 20 │ 0.038 │
│ 2 │ 0.955 │ 20 │ 0.048 │
│ 3 │ 74.744 │ 20 │ 3.737 │
│ 4 │ 145.322 │ 20 │ 7.266 │
│ 5 │ 168.731 │ 20 │ 8.437 │
│ 6 │ 393.401 │ 12 │ 32.783 │
│ 7 │ 428.639 │ 14 │ 30.617 │
│ 8 │ 363.139 │ 6 │ 60.523 │
│ 9 │ 209.380 │ 0 │ 0.000 │
│ 10 │ 209.646 │ 0 │ 0.000 │
│ 11 │ 201.262 │ 0 │ 0.000 │
│ 12 │ 213.289 │ 0 │ 0.000 │
│ 13 │ 199.254 │ 0 │ 0.000 │
│ 14 │ 204.226 │ 0 │ 0.000 │
│ 15 │ 205.845 │ 0 │ 0.000 │
│ 16 │ 193.945 │ 0 │ 0.000 │
│ 17 │ 210.471 │ 0 │ 0.000 │
│ 18 │ 205.576 │ 0 │ 0.000 │
│ 19 │ 206.565 │ 0 │ 0.000 │
│ 20 │ 202.760 │ 0 │ 0.000 │
│ 21 │ 208.369 │ 0 │ 0.000 │
│ 22 │ 218.947 │ 0 │ 0.000 │
│ 23 │ 225.035 │ 0 │ 0.000 │
│ 24 │ 202.644 │ 0 │ 0.000 │
│ 25 │ 202.423 │ 0 │ 0.000 │
│ 26 │ 194.736 │ 0 │ 0.000 │
│ 27 │ 192.890 │ 0 │ 0.000 │
│ 28 │ 214.038 │ 0 │ 0.000 │
│ 29 │ 216.838 │ 0 │ 0.000 │
│ 30 │ 207.838 │ 0 │ 0.000 │
│ 31 │ 198.727 │ 0 │ 0.000 │
│ 32 │ 199.638 │ 0 │ 0.000 │
│ 33 │ 193.240 │ 0 │ 0.000 │
│ 34 │ 190.642 │ 0 │ 0.000 │
│ 35 │ 190.333 │ 0 │ 0.000 │
│ 36 │ 198.856 │ 0 │ 0.000 │
│ 37 │ 339.959 │ 0 │ 0.000 │
│ 38 │ 204.878 │ 0 │ 0.000 │
│ 39 │ 196.065 │ 0 │ 0.000 │
│ 40 │ 225.634 │ 0 │ 0.000 │
│ 41 │ 209.129 │ 0 │ 0.000 │
│ 42 │ 200.305 │ 0 │ 0.000 │
│ 43 │ 210.232 │ 0 │ 0.000 │
│ 44 │ 213.869 │ 0 │ 0.000 │
│ 45 │ 214.522 │ 0 │ 0.000 │
│ 46 │ 207.697 │ 0 │ 0.000 │
│ 47 │ 203.133 │ 0 │ 0.000 │
│ 48 │ 201.403 │ 0 │ 0.000 │
│ 49 │ 191.092 │ 0 │ 0.000 │
│ 50 │ 198.580 │ 0 │ 0.000 │
│ 51 │ 210.946 │ 0 │ 0.000 │
│ 52 │ 219.954 │ 0 │ 0.000 │
│ 53 │ 205.230 │ 0 │ 0.000 │
│ 54 │ 213.201 │ 0 │ 0.000 │
│ 55 │ 212.804 │ 0 │ 0.000 │
│ 56 │ 202.517 │ 0 │ 0.000 │
│ 57 │ 217.914 │ 0 │ 0.000 │
│ 58 │ 206.272 │ 0 │ 0.000 │
├───────────┼───────────┼──────┼──────────────┤
│ Average │ 206.870 │ │ │
│ Median │ 205.403 │ │ │
│ Total │ 11998.437 │ │ │
│ Max │ 428.639 │ │ │
│ Min │ 0.759 │ │ │
└───────────┴───────────┴──────┴──────────────┘
Arguments Overview
| Key | Value |
|---|
| config_yaml | None |
| config_toml | None |
| config_json | None |
| num_random_steps | 20 |
| max_eval | 500 |
| run_program | [['cHl0aG9uMyAvZGF0YS9jYXQvd3MvcHdpbmtsZXItbW5pc3RfbmV3L29tbmlvcHQvLnRlc3RzL21uaXN0L3RyYWluIC0tZXBvY2hzICVlcG9jaHMgLS1sZWFybmluZ19yYXRlICVsciAtLWJhdGNo… |
| experiment_name | mnist_new |
| mem_gb | 40 |
| parameter | [['epochs', 'range', '10', '300', 'int', 'false'], ['lr', 'range', '0.00001', '0.001', 'float', 'false'], ['batch_size', 'range', '8', '1024', 'int', |
| 'false'], ['hidden_size', 'range', '8', '2048', 'int', 'false'], ['num_dense_layers', 'range', '1', '3', 'int', 'false'], ['num_conv_layers', 'range', |
| '1', '3', 'int', 'false'], ['filter', 'range', '1', '48', 'int', 'false']] |
| continue_previous_job | None |
| experiment_constraints | None |
| run_dir | runs |
| seed | None |
| verbose_tqdm | False |
| model | BOTORCH_MODULAR |
| gridsearch | False |
| occ | False |
| show_sixel_scatter | False |
| show_sixel_general | False |
| show_sixel_trial_index_result | False |
| follow | True |
| send_anonymized_usage_stats | True |
| ui_url | None |
| root_venv_dir | /home/pwinkler |
| exclude | None |
| main_process_gb | 20 |
| max_nr_of_zero_results | 50 |
| abbreviate_job_names | False |
| orchestrator_file | None |
| checkout_to_latest_tested_version | False |
| live_share | True |
| disable_tqdm | False |
| disable_previous_job_constraint | False |
| workdir | |
| occ_type | euclid |
| result_names | ['VAL_ACC=max', 'NORMALIZED_RUNTIME=min'] |
| minkowski_p | 2 |
| signed_weighted_euclidean_weights | |
| generation_strategy | None |
| generate_all_jobs_at_once | True |
| revert_to_random_when_seemingly_exhausted | True |
| load_data_from_existing_jobs | [] |
| n_estimators_randomforest | 100 |
| max_attempts_for_generation | 20 |
| external_generator | None |
| username | None |
| max_failed_jobs | 0 |
| num_cpus_main_job | None |
| calculate_pareto_front_of_job | [] |
| show_generate_time_table | False |
| force_choice_for_ranges | False |
| max_abandoned_retrial | 20 |
| share_password | None |
| dryrun | False |
| db_url | None |
| run_program_once | None |
| worker_generator_path | None |
| save_to_database | False |
| range_max_difference | 1000000 |
| skip_search | False |
| dont_warm_start_refitting | False |
| refit_on_cv | False |
| fit_out_of_design | False |
| fit_abandoned | False |
| dont_jit_compile | False |
| num_restarts | 20 |
| raw_samples | 1024 |
| max_num_of_parallel_sruns | 16 |
| no_transform_inputs | False |
| no_normalize_y | False |
| transforms | [] |
| number_of_generators | 1 |
| num_parallel_jobs | 20 |
| worker_timeout | 90 |
| slurm_use_srun | False |
| time | 1440 |
| partition | alpha |
| reservation | None |
| force_local_execution | False |
| slurm_signal_delay_s | 0 |
| nodes_per_job | 1 |
| cpus_per_task | 1 |
| account | None |
| gpus | 1 |
| dependency | None |
| run_mode | local |
| verbose | False |
| verbose_break_run_search_table | False |
| debug | False |
| flame_graph | False |
| memray | False |
| no_sleep | False |
| tests | False |
| show_worker_percentage_table_at_end | False |
| auto_exclude_defective_hosts | False |
| run_tests_that_fail_on_taurus | False |
| raise_in_eval | False |
| show_ram_every_n_seconds | 0 |
| show_generation_and_submission_sixel | False |
| just_return_defaults | False |
| prettyprint | False |
| runtime_debug | False |
| debug_stack_regex | |
| debug_stack_trace_regex | None |
| show_func_name | False |
| beartype | False |
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1761135021,795.37109375,6.4
VAL_ACC (goal: maximize)
Best value: 52.48
Achieved at:
- run_time = 1373
- NORMALIZED_RUNTIME = 18.862
- epochs = 129
- lr = 0.00041917139534839
- batch_size = 767
- hidden_size = 1546
- num_dense_layers = 3
- num_conv_layers = 3
- filter = 43
NORMALIZED_RUNTIME (goal: minimize)
Best value: 1.796
Achieved at:
- run_time = 143
- VAL_ACC = 10.47
- epochs = 10
- lr = 0.00028824216622745
- batch_size = 433
- hidden_size = 1251
- num_dense_layers = 3
- num_conv_layers = 3
- filter = 1
Parameter statistics
| Parameter | Min | Max | Mean | Std Dev | Count |
|---|
| run_time | 137 | 3096 | 722.1204 | 874.54 | 108 |
| VAL_ACC | -1000000000 | 52.48 | -52631546.822 | 223296885.8415 | 114 |
| NORMALIZED_RUNTIME | 1.796 | 1000000000 | 52631588.2993 | 223296876.0652 | 114 |
| epochs | 10 | 296 | 63.5478 | 83.3713 | 115 |
| lr | 0 | 0.001 | 0.0005 | 0.0003 | 115 |
| batch_size | 8 | 1024 | 621.1217 | 242.1674 | 115 |
| hidden_size | 8 | 2043 | 1087.5478 | 523.4896 | 115 |
| num_dense_layers | 1 | 3 | 2.2174 | 0.8825 | 115 |
| num_conv_layers | 1 | 3 | 2.5652 | 0.6869 | 115 |
| filter | 1 | 48 | 34.2783 | 16.9355 | 115 |
Show SLURM-Job-ID (if it exists)
submitit INFO (2025-10-22 14:10:43,383) - Starting with JobEnvironment(job_id=1107123, hostname=c131, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-10-22 14:10:43,383) - Loading pickle: /data/cat/ws/pwinkler-mnist_new/omniopt/runs/mnist_new/0/single_runs/1107123/1107123_submitted.pkl
Trial-Index: 11
/data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/.torch_venv_1bdd5e1e8b/lib64/python3.9/site-packages/torch/utils/data/dataloader.py:627: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 1, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Parameters: {"epochs": 283, "lr": 0.0005498102020286024, "batch_size": 786, "hidden_size": 951, "num_dense_layers": 2, "num_conv_layers": 2, "filter": 5}
Debug-Infos:
========
DEBUG INFOS START:
Program-Code: python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 283 --learning_rate 0.00054981020202860237 --batch_size 786 --hidden_size 951 --num_dense_layers 2 --num_conv_layers 2 --filter 5
pwd: /data/cat/ws/pwinkler-mnist_new/omniopt
File: /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train
UID: 2054851
GID: 200270
SLURM_JOB_ID: 1107123
Status-Change-Time: 1761047475.5419962
Size: 19255 Bytes
Permissions: -rwxr-xr-x
Owner: pwinkler
Last access: 1761048850.189698
Last modification: 1761047475.5419962
Hostname: c131
========
DEBUG INFOS END
python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 283 --learning_rate 0.00054981020202860237 --batch_size 786 --hidden_size 951 --num_dense_layers 2 --num_conv_layers 2 --filter 5
stdout:
Hyperparameters
╭──────────────────┬───────────────────────╮
│ Parameter │ Value │
├──────────────────┼───────────────────────┤
│ Epochs │ 283 │
│ Num Dense Layers │ 2 │
│ Batch size │ 786 │
│ Learning rate │ 0.0005498102020286024 │
│ Hidden size │ 951 │
│ Dropout │ 0.2 │
│ Optimizer │ adam │
│ Momentum │ 0.9 │
│ Weight Decay │ 0.0001 │
│ Activation │ relu │
│ Init Method │ kaiming │
│ Seed │ None │
│ Conv Filters │ 5 │
│ Num Conv Layers │ 2 │
│ Conv Kernel │ 3 │
│ Conv Stride │ 1 │
│ Conv Padding │ 1 │
╰──────────────────┴───────────────────────╯
Model Summary
╭─────────────────┬────────────────┬─────────╮
│ Layer │ Output Shape │ Param # │
├─────────────────┼────────────────┼─────────┤
│ conv::conv0 │ [1, 5, 32, 32] │ 140 │
│ conv::bn0 │ [1, 5, 32, 32] │ 10 │
│ conv::act_conv0 │ [1, 5, 32, 32] │ 0 │
│ conv::conv1 │ [1, 5, 32, 32] │ 230 │
│ conv::bn1 │ [1, 5, 32, 32] │ 10 │
│ conv::act_conv1 │ [1, 5, 32, 32] │ 0 │
│ conv::pool1 │ [1, 5, 16, 16] │ 0 │
│ dense::fc0 │ [1, 951] │ 1218231 │
│ dense::act0 │ [1, 951] │ 0 │
│ dense::dropout0 │ [1, 951] │ 0 │
│ dense::fc1 │ [1, 951] │ 905352 │
│ dense::act1 │ [1, 951] │ 0 │
│ dense::dropout1 │ [1, 951] │ 0 │
│ dense::output │ [1, 100] │ 95200 │
│ Total │ - │ 2219173 │
╰─────────────────┴────────────────┴─────────╯
──────────────────────────── Epoch 1/283 - Training ────────────────────────────
Epoch-Loss: 283.3024
─────────────────────────── Epoch 1/283 - Validation ───────────────────────────
╔══ Epoch 1/283 Summary ══╗
║ Validation Loss: 3.9896 ║
║ Accuracy: 9.57% ║
╚═════════════════════════╝
──────────────────────────── Epoch 2/283 - Training ────────────────────────────
Epoch-Loss: 255.6372
─────────────────────────── Epoch 2/283 - Validation ───────────────────────────
╔══ Epoch 2/283 Summary ══╗
║ Validation Loss: 3.7190 ║
║ Accuracy: 14.13% ║
╚═════════════════════════╝
──────────────────────────── Epoch 3/283 - Training ────────────────────────────
Epoch-Loss: 242.7920
─────────────────────────── Epoch 3/283 - Validation ───────────────────────────
╔══ Epoch 3/283 Summary ══╗
║ Validation Loss: 3.5864 ║
║ Accuracy: 16.29% ║
╚═════════════════════════╝
──────────────────────────── Epoch 4/283 - Training ────────────────────────────
Epoch-Loss: 234.5773
─────────────────────────── Epoch 4/283 - Validation ───────────────────────────
╔══ Epoch 4/283 Summary ══╗
║ Validation Loss: 3.4638 ║
║ Accuracy: 18.73% ║
╚═════════════════════════╝
──────────────────────────── Epoch 5/283 - Training ────────────────────────────
Epoch-Loss: 228.3707
─────────────────────────── Epoch 5/283 - Validation ───────────────────────────
╔══ Epoch 5/283 Summary ══╗
║ Validation Loss: 3.3831 ║
║ Accuracy: 19.91% ║
╚═════════════════════════╝
──────────────────────────── Epoch 6/283 - Training ────────────────────────────
Epoch-Loss: 223.1402
─────────────────────────── Epoch 6/283 - Validation ───────────────────────────
╔══ Epoch 6/283 Summary ══╗
║ Validation Loss: 3.3053 ║
║ Accuracy: 21.51% ║
╚═════════════════════════╝
──────────────────────────── Epoch 7/283 - Training ────────────────────────────
Epoch-Loss: 219.2629
─────────────────────────── Epoch 7/283 - Validation ───────────────────────────
╔══ Epoch 7/283 Summary ══╗
║ Validation Loss: 3.2444 ║
║ Accuracy: 22.07% ║
╚═════════════════════════╝
──────────────────────────── Epoch 8/283 - Training ────────────────────────────
Epoch-Loss: 215.0279
─────────────────────────── Epoch 8/283 - Validation ───────────────────────────
╔══ Epoch 8/283 Summary ══╗
║ Validation Loss: 3.1903 ║
║ Accuracy: 23.16% ║
╚═════════════════════════╝
──────────────────────────── Epoch 9/283 - Training ────────────────────────────
Epoch-Loss: 210.9665
─────────────────────────── Epoch 9/283 - Validation ───────────────────────────
╔══ Epoch 9/283 Summary ══╗
║ Validation Loss: 3.1277 ║
║ Accuracy: 24.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 10/283 - Training ────────────────────────────
Epoch-Loss: 207.7647
────────────────────────── Epoch 10/283 - Validation ───────────────────────────
╔═ Epoch 10/283 Summary ══╗
║ Validation Loss: 3.0700 ║
║ Accuracy: 25.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 11/283 - Training ────────────────────────────
Epoch-Loss: 204.6441
────────────────────────── Epoch 11/283 - Validation ───────────────────────────
╔═ Epoch 11/283 Summary ══╗
║ Validation Loss: 3.0420 ║
║ Accuracy: 25.96% ║
╚═════════════════════════╝
─────────────────────────── Epoch 12/283 - Training ────────────────────────────
Epoch-Loss: 202.1933
────────────────────────── Epoch 12/283 - Validation ───────────────────────────
╔═ Epoch 12/283 Summary ══╗
║ Validation Loss: 3.0000 ║
║ Accuracy: 27.10% ║
╚═════════════════════════╝
─────────────────────────── Epoch 13/283 - Training ────────────────────────────
Epoch-Loss: 200.1077
────────────────────────── Epoch 13/283 - Validation ───────────────────────────
╔═ Epoch 13/283 Summary ══╗
║ Validation Loss: 2.9662 ║
║ Accuracy: 27.76% ║
╚═════════════════════════╝
─────────────────────────── Epoch 14/283 - Training ────────────────────────────
Epoch-Loss: 197.4389
────────────────────────── Epoch 14/283 - Validation ───────────────────────────
╔═ Epoch 14/283 Summary ══╗
║ Validation Loss: 2.9285 ║
║ Accuracy: 28.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 15/283 - Training ────────────────────────────
Epoch-Loss: 195.1266
────────────────────────── Epoch 15/283 - Validation ───────────────────────────
╔═ Epoch 15/283 Summary ══╗
║ Validation Loss: 2.9065 ║
║ Accuracy: 28.79% ║
╚═════════════════════════╝
─────────────────────────── Epoch 16/283 - Training ────────────────────────────
Epoch-Loss: 192.6234
────────────────────────── Epoch 16/283 - Validation ───────────────────────────
╔═ Epoch 16/283 Summary ══╗
║ Validation Loss: 2.8999 ║
║ Accuracy: 28.84% ║
╚═════════════════════════╝
─────────────────────────── Epoch 17/283 - Training ────────────────────────────
Epoch-Loss: 191.5885
────────────────────────── Epoch 17/283 - Validation ───────────────────────────
╔═ Epoch 17/283 Summary ══╗
║ Validation Loss: 2.8527 ║
║ Accuracy: 29.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 18/283 - Training ────────────────────────────
Epoch-Loss: 189.1741
────────────────────────── Epoch 18/283 - Validation ───────────────────────────
╔═ Epoch 18/283 Summary ══╗
║ Validation Loss: 2.8305 ║
║ Accuracy: 30.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 19/283 - Training ────────────────────────────
Epoch-Loss: 187.0930
────────────────────────── Epoch 19/283 - Validation ───────────────────────────
╔═ Epoch 19/283 Summary ══╗
║ Validation Loss: 2.8236 ║
║ Accuracy: 30.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 20/283 - Training ────────────────────────────
Epoch-Loss: 185.4983
────────────────────────── Epoch 20/283 - Validation ───────────────────────────
╔═ Epoch 20/283 Summary ══╗
║ Validation Loss: 2.7871 ║
║ Accuracy: 31.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 21/283 - Training ────────────────────────────
Epoch-Loss: 183.8912
────────────────────────── Epoch 21/283 - Validation ───────────────────────────
╔═ Epoch 21/283 Summary ══╗
║ Validation Loss: 2.7793 ║
║ Accuracy: 31.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 22/283 - Training ────────────────────────────
Epoch-Loss: 182.6766
────────────────────────── Epoch 22/283 - Validation ───────────────────────────
╔═ Epoch 22/283 Summary ══╗
║ Validation Loss: 2.7614 ║
║ Accuracy: 31.77% ║
╚═════════════════════════╝
─────────────────────────── Epoch 23/283 - Training ────────────────────────────
Epoch-Loss: 180.6491
────────────────────────── Epoch 23/283 - Validation ───────────────────────────
╔═ Epoch 23/283 Summary ══╗
║ Validation Loss: 2.7547 ║
║ Accuracy: 32.20% ║
╚═════════════════════════╝
─────────────────────────── Epoch 24/283 - Training ────────────────────────────
Epoch-Loss: 179.5094
────────────────────────── Epoch 24/283 - Validation ───────────────────────────
╔═ Epoch 24/283 Summary ══╗
║ Validation Loss: 2.7329 ║
║ Accuracy: 32.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 25/283 - Training ────────────────────────────
Epoch-Loss: 178.1028
────────────────────────── Epoch 25/283 - Validation ───────────────────────────
╔═ Epoch 25/283 Summary ══╗
║ Validation Loss: 2.7223 ║
║ Accuracy: 32.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 26/283 - Training ────────────────────────────
Epoch-Loss: 176.8520
────────────────────────── Epoch 26/283 - Validation ───────────────────────────
╔═ Epoch 26/283 Summary ══╗
║ Validation Loss: 2.6969 ║
║ Accuracy: 33.16% ║
╚═════════════════════════╝
─────────────────────────── Epoch 27/283 - Training ────────────────────────────
Epoch-Loss: 175.2901
────────────────────────── Epoch 27/283 - Validation ───────────────────────────
╔═ Epoch 27/283 Summary ══╗
║ Validation Loss: 2.6845 ║
║ Accuracy: 33.76% ║
╚═════════════════════════╝
─────────────────────────── Epoch 28/283 - Training ────────────────────────────
Epoch-Loss: 174.2425
────────────────────────── Epoch 28/283 - Validation ───────────────────────────
╔═ Epoch 28/283 Summary ══╗
║ Validation Loss: 2.6581 ║
║ Accuracy: 34.02% ║
╚═════════════════════════╝
─────────────────────────── Epoch 29/283 - Training ────────────────────────────
Epoch-Loss: 172.9235
────────────────────────── Epoch 29/283 - Validation ───────────────────────────
╔═ Epoch 29/283 Summary ══╗
║ Validation Loss: 2.6556 ║
║ Accuracy: 34.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 30/283 - Training ────────────────────────────
Epoch-Loss: 171.9547
────────────────────────── Epoch 30/283 - Validation ───────────────────────────
╔═ Epoch 30/283 Summary ══╗
║ Validation Loss: 2.6538 ║
║ Accuracy: 34.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 31/283 - Training ────────────────────────────
Epoch-Loss: 167.4474
────────────────────────── Epoch 31/283 - Validation ───────────────────────────
╔═ Epoch 31/283 Summary ══╗
║ Validation Loss: 2.6133 ║
║ Accuracy: 35.13% ║
╚═════════════════════════╝
─────────────────────────── Epoch 32/283 - Training ────────────────────────────
Epoch-Loss: 165.7280
────────────────────────── Epoch 32/283 - Validation ───────────────────────────
╔═ Epoch 32/283 Summary ══╗
║ Validation Loss: 2.6082 ║
║ Accuracy: 35.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 33/283 - Training ────────────────────────────
Epoch-Loss: 165.6265
────────────────────────── Epoch 33/283 - Validation ───────────────────────────
╔═ Epoch 33/283 Summary ══╗
║ Validation Loss: 2.6025 ║
║ Accuracy: 35.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 34/283 - Training ────────────────────────────
Epoch-Loss: 165.7047
────────────────────────── Epoch 34/283 - Validation ───────────────────────────
╔═ Epoch 34/283 Summary ══╗
║ Validation Loss: 2.6021 ║
║ Accuracy: 35.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 35/283 - Training ────────────────────────────
Epoch-Loss: 165.0911
────────────────────────── Epoch 35/283 - Validation ───────────────────────────
╔═ Epoch 35/283 Summary ══╗
║ Validation Loss: 2.5974 ║
║ Accuracy: 35.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 36/283 - Training ────────────────────────────
Epoch-Loss: 165.0849
────────────────────────── Epoch 36/283 - Validation ───────────────────────────
╔═ Epoch 36/283 Summary ══╗
║ Validation Loss: 2.5924 ║
║ Accuracy: 35.84% ║
╚═════════════════════════╝
─────────────────────────── Epoch 37/283 - Training ────────────────────────────
Epoch-Loss: 164.4766
────────────────────────── Epoch 37/283 - Validation ───────────────────────────
╔═ Epoch 37/283 Summary ══╗
║ Validation Loss: 2.5920 ║
║ Accuracy: 35.75% ║
╚═════════════════════════╝
─────────────────────────── Epoch 38/283 - Training ────────────────────────────
Epoch-Loss: 163.9339
────────────────────────── Epoch 38/283 - Validation ───────────────────────────
╔═ Epoch 38/283 Summary ══╗
║ Validation Loss: 2.5904 ║
║ Accuracy: 35.74% ║
╚═════════════════════════╝
─────────────────────────── Epoch 39/283 - Training ────────────────────────────
Epoch-Loss: 163.4860
────────────────────────── Epoch 39/283 - Validation ───────────────────────────
╔═ Epoch 39/283 Summary ══╗
║ Validation Loss: 2.5881 ║
║ Accuracy: 35.94% ║
╚═════════════════════════╝
─────────────────────────── Epoch 40/283 - Training ────────────────────────────
Epoch-Loss: 163.7825
────────────────────────── Epoch 40/283 - Validation ───────────────────────────
╔═ Epoch 40/283 Summary ══╗
║ Validation Loss: 2.5882 ║
║ Accuracy: 35.88% ║
╚═════════════════════════╝
─────────────────────────── Epoch 41/283 - Training ────────────────────────────
Epoch-Loss: 163.5721
────────────────────────── Epoch 41/283 - Validation ───────────────────────────
╔═ Epoch 41/283 Summary ══╗
║ Validation Loss: 2.5830 ║
║ Accuracy: 35.76% ║
╚═════════════════════════╝
─────────────────────────── Epoch 42/283 - Training ────────────────────────────
Epoch-Loss: 163.5799
────────────────────────── Epoch 42/283 - Validation ───────────────────────────
╔═ Epoch 42/283 Summary ══╗
║ Validation Loss: 2.5797 ║
║ Accuracy: 35.95% ║
╚═════════════════════════╝
─────────────────────────── Epoch 43/283 - Training ────────────────────────────
Epoch-Loss: 162.6711
────────────────────────── Epoch 43/283 - Validation ───────────────────────────
╔═ Epoch 43/283 Summary ══╗
║ Validation Loss: 2.5788 ║
║ Accuracy: 35.99% ║
╚═════════════════════════╝
─────────────────────────── Epoch 44/283 - Training ────────────────────────────
Epoch-Loss: 163.0121
────────────────────────── Epoch 44/283 - Validation ───────────────────────────
╔═ Epoch 44/283 Summary ══╗
║ Validation Loss: 2.5768 ║
║ Accuracy: 35.88% ║
╚═════════════════════════╝
─────────────────────────── Epoch 45/283 - Training ────────────────────────────
Epoch-Loss: 162.5344
────────────────────────── Epoch 45/283 - Validation ───────────────────────────
╔═ Epoch 45/283 Summary ══╗
║ Validation Loss: 2.5731 ║
║ Accuracy: 36.05% ║
╚═════════════════════════╝
─────────────────────────── Epoch 46/283 - Training ────────────────────────────
Epoch-Loss: 162.5536
────────────────────────── Epoch 46/283 - Validation ───────────────────────────
╔═ Epoch 46/283 Summary ══╗
║ Validation Loss: 2.5747 ║
║ Accuracy: 35.74% ║
╚═════════════════════════╝
─────────────────────────── Epoch 47/283 - Training ────────────────────────────
Epoch-Loss: 162.3893
────────────────────────── Epoch 47/283 - Validation ───────────────────────────
╔═ Epoch 47/283 Summary ══╗
║ Validation Loss: 2.5700 ║
║ Accuracy: 36.20% ║
╚═════════════════════════╝
─────────────────────────── Epoch 48/283 - Training ────────────────────────────
Epoch-Loss: 162.5431
────────────────────────── Epoch 48/283 - Validation ───────────────────────────
╔═ Epoch 48/283 Summary ══╗
║ Validation Loss: 2.5693 ║
║ Accuracy: 36.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 49/283 - Training ────────────────────────────
Epoch-Loss: 162.3566
────────────────────────── Epoch 49/283 - Validation ───────────────────────────
╔═ Epoch 49/283 Summary ══╗
║ Validation Loss: 2.5714 ║
║ Accuracy: 36.24% ║
╚═════════════════════════╝
─────────────────────────── Epoch 50/283 - Training ────────────────────────────
Epoch-Loss: 162.1136
────────────────────────── Epoch 50/283 - Validation ───────────────────────────
╔═ Epoch 50/283 Summary ══╗
║ Validation Loss: 2.5679 ║
║ Accuracy: 36.08% ║
╚═════════════════════════╝
─────────────────────────── Epoch 51/283 - Training ────────────────────────────
Epoch-Loss: 161.8724
────────────────────────── Epoch 51/283 - Validation ───────────────────────────
╔═ Epoch 51/283 Summary ══╗
║ Validation Loss: 2.5667 ║
║ Accuracy: 36.21% ║
╚═════════════════════════╝
─────────────────────────── Epoch 52/283 - Training ────────────────────────────
Epoch-Loss: 161.4888
────────────────────────── Epoch 52/283 - Validation ───────────────────────────
╔═ Epoch 52/283 Summary ══╗
║ Validation Loss: 2.5655 ║
║ Accuracy: 36.03% ║
╚═════════════════════════╝
─────────────────────────── Epoch 53/283 - Training ────────────────────────────
Epoch-Loss: 161.2546
────────────────────────── Epoch 53/283 - Validation ───────────────────────────
╔═ Epoch 53/283 Summary ══╗
║ Validation Loss: 2.5623 ║
║ Accuracy: 36.16% ║
╚═════════════════════════╝
─────────────────────────── Epoch 54/283 - Training ────────────────────────────
Epoch-Loss: 161.5021
────────────────────────── Epoch 54/283 - Validation ───────────────────────────
╔═ Epoch 54/283 Summary ══╗
║ Validation Loss: 2.5632 ║
║ Accuracy: 36.16% ║
╚═════════════════════════╝
─────────────────────────── Epoch 55/283 - Training ────────────────────────────
Epoch-Loss: 161.3391
────────────────────────── Epoch 55/283 - Validation ───────────────────────────
╔═ Epoch 55/283 Summary ══╗
║ Validation Loss: 2.5602 ║
║ Accuracy: 36.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 56/283 - Training ────────────────────────────
Epoch-Loss: 160.9059
────────────────────────── Epoch 56/283 - Validation ───────────────────────────
╔═ Epoch 56/283 Summary ══╗
║ Validation Loss: 2.5605 ║
║ Accuracy: 36.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 57/283 - Training ────────────────────────────
Epoch-Loss: 160.9670
────────────────────────── Epoch 57/283 - Validation ───────────────────────────
╔═ Epoch 57/283 Summary ══╗
║ Validation Loss: 2.5571 ║
║ Accuracy: 36.18% ║
╚═════════════════════════╝
─────────────────────────── Epoch 58/283 - Training ────────────────────────────
Epoch-Loss: 160.5212
────────────────────────── Epoch 58/283 - Validation ───────────────────────────
╔═ Epoch 58/283 Summary ══╗
║ Validation Loss: 2.5565 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 59/283 - Training ────────────────────────────
Epoch-Loss: 160.6925
────────────────────────── Epoch 59/283 - Validation ───────────────────────────
╔═ Epoch 59/283 Summary ══╗
║ Validation Loss: 2.5579 ║
║ Accuracy: 36.14% ║
╚═════════════════════════╝
─────────────────────────── Epoch 60/283 - Training ────────────────────────────
Epoch-Loss: 160.0542
────────────────────────── Epoch 60/283 - Validation ───────────────────────────
╔═ Epoch 60/283 Summary ══╗
║ Validation Loss: 2.5503 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 61/283 - Training ────────────────────────────
Epoch-Loss: 160.1482
────────────────────────── Epoch 61/283 - Validation ───────────────────────────
╔═ Epoch 61/283 Summary ══╗
║ Validation Loss: 2.5511 ║
║ Accuracy: 36.72% ║
╚═════════════════════════╝
─────────────────────────── Epoch 62/283 - Training ────────────────────────────
Epoch-Loss: 159.7407
────────────────────────── Epoch 62/283 - Validation ───────────────────────────
╔═ Epoch 62/283 Summary ══╗
║ Validation Loss: 2.5501 ║
║ Accuracy: 36.69% ║
╚═════════════════════════╝
─────────────────────────── Epoch 63/283 - Training ────────────────────────────
Epoch-Loss: 159.9316
────────────────────────── Epoch 63/283 - Validation ───────────────────────────
╔═ Epoch 63/283 Summary ══╗
║ Validation Loss: 2.5499 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 64/283 - Training ────────────────────────────
Epoch-Loss: 158.9521
────────────────────────── Epoch 64/283 - Validation ───────────────────────────
╔═ Epoch 64/283 Summary ══╗
║ Validation Loss: 2.5493 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 65/283 - Training ────────────────────────────
Epoch-Loss: 159.3672
────────────────────────── Epoch 65/283 - Validation ───────────────────────────
╔═ Epoch 65/283 Summary ══╗
║ Validation Loss: 2.5492 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 66/283 - Training ────────────────────────────
Epoch-Loss: 159.2016
────────────────────────── Epoch 66/283 - Validation ───────────────────────────
╔═ Epoch 66/283 Summary ══╗
║ Validation Loss: 2.5504 ║
║ Accuracy: 36.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 67/283 - Training ────────────────────────────
Epoch-Loss: 159.6852
────────────────────────── Epoch 67/283 - Validation ───────────────────────────
╔═ Epoch 67/283 Summary ══╗
║ Validation Loss: 2.5501 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 68/283 - Training ────────────────────────────
Epoch-Loss: 159.5687
────────────────────────── Epoch 68/283 - Validation ───────────────────────────
╔═ Epoch 68/283 Summary ══╗
║ Validation Loss: 2.5491 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 69/283 - Training ────────────────────────────
Epoch-Loss: 159.3303
────────────────────────── Epoch 69/283 - Validation ───────────────────────────
╔═ Epoch 69/283 Summary ══╗
║ Validation Loss: 2.5490 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 70/283 - Training ────────────────────────────
Epoch-Loss: 159.3550
────────────────────────── Epoch 70/283 - Validation ───────────────────────────
╔═ Epoch 70/283 Summary ══╗
║ Validation Loss: 2.5486 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 71/283 - Training ────────────────────────────
Epoch-Loss: 160.0987
────────────────────────── Epoch 71/283 - Validation ───────────────────────────
╔═ Epoch 71/283 Summary ══╗
║ Validation Loss: 2.5487 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 72/283 - Training ────────────────────────────
Epoch-Loss: 159.5150
────────────────────────── Epoch 72/283 - Validation ───────────────────────────
╔═ Epoch 72/283 Summary ══╗
║ Validation Loss: 2.5490 ║
║ Accuracy: 36.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 73/283 - Training ────────────────────────────
Epoch-Loss: 159.2659
────────────────────────── Epoch 73/283 - Validation ───────────────────────────
╔═ Epoch 73/283 Summary ══╗
║ Validation Loss: 2.5485 ║
║ Accuracy: 36.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 74/283 - Training ────────────────────────────
Epoch-Loss: 159.3124
────────────────────────── Epoch 74/283 - Validation ───────────────────────────
╔═ Epoch 74/283 Summary ══╗
║ Validation Loss: 2.5479 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 75/283 - Training ────────────────────────────
Epoch-Loss: 159.3446
────────────────────────── Epoch 75/283 - Validation ───────────────────────────
╔═ Epoch 75/283 Summary ══╗
║ Validation Loss: 2.5482 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 76/283 - Training ────────────────────────────
Epoch-Loss: 159.0141
────────────────────────── Epoch 76/283 - Validation ───────────────────────────
╔═ Epoch 76/283 Summary ══╗
║ Validation Loss: 2.5478 ║
║ Accuracy: 36.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 77/283 - Training ────────────────────────────
Epoch-Loss: 159.2965
────────────────────────── Epoch 77/283 - Validation ───────────────────────────
╔═ Epoch 77/283 Summary ══╗
║ Validation Loss: 2.5472 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 78/283 - Training ────────────────────────────
Epoch-Loss: 159.0250
────────────────────────── Epoch 78/283 - Validation ───────────────────────────
╔═ Epoch 78/283 Summary ══╗
║ Validation Loss: 2.5470 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 79/283 - Training ────────────────────────────
Epoch-Loss: 159.2406
────────────────────────── Epoch 79/283 - Validation ───────────────────────────
╔═ Epoch 79/283 Summary ══╗
║ Validation Loss: 2.5476 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 80/283 - Training ────────────────────────────
Epoch-Loss: 159.3759
────────────────────────── Epoch 80/283 - Validation ───────────────────────────
╔═ Epoch 80/283 Summary ══╗
║ Validation Loss: 2.5477 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 81/283 - Training ────────────────────────────
Epoch-Loss: 159.5306
────────────────────────── Epoch 81/283 - Validation ───────────────────────────
╔═ Epoch 81/283 Summary ══╗
║ Validation Loss: 2.5478 ║
║ Accuracy: 36.70% ║
╚═════════════════════════╝
─────────────────────────── Epoch 82/283 - Training ────────────────────────────
Epoch-Loss: 159.3378
────────────────────────── Epoch 82/283 - Validation ───────────────────────────
╔═ Epoch 82/283 Summary ══╗
║ Validation Loss: 2.5474 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 83/283 - Training ────────────────────────────
Epoch-Loss: 159.4254
────────────────────────── Epoch 83/283 - Validation ───────────────────────────
╔═ Epoch 83/283 Summary ══╗
║ Validation Loss: 2.5476 ║
║ Accuracy: 36.66% ║
╚═════════════════════════╝
─────────────────────────── Epoch 84/283 - Training ────────────────────────────
Epoch-Loss: 159.1433
────────────────────────── Epoch 84/283 - Validation ───────────────────────────
╔═ Epoch 84/283 Summary ══╗
║ Validation Loss: 2.5466 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 85/283 - Training ────────────────────────────
Epoch-Loss: 159.1576
────────────────────────── Epoch 85/283 - Validation ───────────────────────────
╔═ Epoch 85/283 Summary ══╗
║ Validation Loss: 2.5463 ║
║ Accuracy: 36.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 86/283 - Training ────────────────────────────
Epoch-Loss: 158.7130
────────────────────────── Epoch 86/283 - Validation ───────────────────────────
╔═ Epoch 86/283 Summary ══╗
║ Validation Loss: 2.5467 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 87/283 - Training ────────────────────────────
Epoch-Loss: 159.4151
────────────────────────── Epoch 87/283 - Validation ───────────────────────────
╔═ Epoch 87/283 Summary ══╗
║ Validation Loss: 2.5465 ║
║ Accuracy: 36.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 88/283 - Training ────────────────────────────
Epoch-Loss: 159.5744
────────────────────────── Epoch 88/283 - Validation ───────────────────────────
╔═ Epoch 88/283 Summary ══╗
║ Validation Loss: 2.5463 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 89/283 - Training ────────────────────────────
Epoch-Loss: 158.3353
────────────────────────── Epoch 89/283 - Validation ───────────────────────────
╔═ Epoch 89/283 Summary ══╗
║ Validation Loss: 2.5465 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 90/283 - Training ────────────────────────────
Epoch-Loss: 158.8897
────────────────────────── Epoch 90/283 - Validation ───────────────────────────
╔═ Epoch 90/283 Summary ══╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 91/283 - Training ────────────────────────────
Epoch-Loss: 159.1632
────────────────────────── Epoch 91/283 - Validation ───────────────────────────
╔═ Epoch 91/283 Summary ══╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 92/283 - Training ────────────────────────────
Epoch-Loss: 158.7752
────────────────────────── Epoch 92/283 - Validation ───────────────────────────
╔═ Epoch 92/283 Summary ══╗
║ Validation Loss: 2.5463 ║
║ Accuracy: 36.66% ║
╚═════════════════════════╝
─────────────────────────── Epoch 93/283 - Training ────────────────────────────
Epoch-Loss: 158.9601
────────────────────────── Epoch 93/283 - Validation ───────────────────────────
╔═ Epoch 93/283 Summary ══╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 94/283 - Training ────────────────────────────
Epoch-Loss: 159.0153
────────────────────────── Epoch 94/283 - Validation ───────────────────────────
╔═ Epoch 94/283 Summary ══╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 95/283 - Training ────────────────────────────
Epoch-Loss: 159.0900
────────────────────────── Epoch 95/283 - Validation ───────────────────────────
╔═ Epoch 95/283 Summary ══╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 96/283 - Training ────────────────────────────
Epoch-Loss: 159.3762
────────────────────────── Epoch 96/283 - Validation ───────────────────────────
╔═ Epoch 96/283 Summary ══╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 97/283 - Training ────────────────────────────
Epoch-Loss: 159.3557
────────────────────────── Epoch 97/283 - Validation ───────────────────────────
╔═ Epoch 97/283 Summary ══╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 98/283 - Training ────────────────────────────
Epoch-Loss: 159.2874
────────────────────────── Epoch 98/283 - Validation ───────────────────────────
╔═ Epoch 98/283 Summary ══╗
║ Validation Loss: 2.5464 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 99/283 - Training ────────────────────────────
Epoch-Loss: 158.7780
────────────────────────── Epoch 99/283 - Validation ───────────────────────────
╔═ Epoch 99/283 Summary ══╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 100/283 - Training ───────────────────────────
Epoch-Loss: 159.0219
────────────────────────── Epoch 100/283 - Validation ──────────────────────────
╔═ Epoch 100/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.68% ║
╚═════════════════════════╝
─────────────────────────── Epoch 101/283 - Training ───────────────────────────
Epoch-Loss: 158.9619
────────────────────────── Epoch 101/283 - Validation ──────────────────────────
╔═ Epoch 101/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 102/283 - Training ───────────────────────────
Epoch-Loss: 159.3051
────────────────────────── Epoch 102/283 - Validation ──────────────────────────
╔═ Epoch 102/283 Summary ═╗
║ Validation Loss: 2.5465 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 103/283 - Training ───────────────────────────
Epoch-Loss: 159.3332
────────────────────────── Epoch 103/283 - Validation ──────────────────────────
╔═ Epoch 103/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 104/283 - Training ───────────────────────────
Epoch-Loss: 159.2012
────────────────────────── Epoch 104/283 - Validation ──────────────────────────
╔═ Epoch 104/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.71% ║
╚═════════════════════════╝
─────────────────────────── Epoch 105/283 - Training ───────────────────────────
Epoch-Loss: 158.6471
────────────────────────── Epoch 105/283 - Validation ──────────────────────────
╔═ Epoch 105/283 Summary ═╗
║ Validation Loss: 2.5466 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 106/283 - Training ───────────────────────────
Epoch-Loss: 159.2288
────────────────────────── Epoch 106/283 - Validation ──────────────────────────
╔═ Epoch 106/283 Summary ═╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 107/283 - Training ───────────────────────────
Epoch-Loss: 159.1870
────────────────────────── Epoch 107/283 - Validation ──────────────────────────
╔═ Epoch 107/283 Summary ═╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 108/283 - Training ───────────────────────────
Epoch-Loss: 159.0636
────────────────────────── Epoch 108/283 - Validation ──────────────────────────
╔═ Epoch 108/283 Summary ═╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 109/283 - Training ───────────────────────────
Epoch-Loss: 159.0930
────────────────────────── Epoch 109/283 - Validation ──────────────────────────
╔═ Epoch 109/283 Summary ═╗
║ Validation Loss: 2.5461 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 110/283 - Training ───────────────────────────
Epoch-Loss: 158.9784
────────────────────────── Epoch 110/283 - Validation ──────────────────────────
╔═ Epoch 110/283 Summary ═╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 111/283 - Training ───────────────────────────
Epoch-Loss: 158.6596
────────────────────────── Epoch 111/283 - Validation ──────────────────────────
╔═ Epoch 111/283 Summary ═╗
║ Validation Loss: 2.5467 ║
║ Accuracy: 36.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 112/283 - Training ───────────────────────────
Epoch-Loss: 159.0305
────────────────────────── Epoch 112/283 - Validation ──────────────────────────
╔═ Epoch 112/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 113/283 - Training ───────────────────────────
Epoch-Loss: 158.6183
────────────────────────── Epoch 113/283 - Validation ──────────────────────────
╔═ Epoch 113/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 114/283 - Training ───────────────────────────
Epoch-Loss: 158.8980
────────────────────────── Epoch 114/283 - Validation ──────────────────────────
╔═ Epoch 114/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 115/283 - Training ───────────────────────────
Epoch-Loss: 158.7509
────────────────────────── Epoch 115/283 - Validation ──────────────────────────
╔═ Epoch 115/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 116/283 - Training ───────────────────────────
Epoch-Loss: 158.8290
────────────────────────── Epoch 116/283 - Validation ──────────────────────────
╔═ Epoch 116/283 Summary ═╗
║ Validation Loss: 2.5461 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 117/283 - Training ───────────────────────────
Epoch-Loss: 158.9120
────────────────────────── Epoch 117/283 - Validation ──────────────────────────
╔═ Epoch 117/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 118/283 - Training ───────────────────────────
Epoch-Loss: 159.2017
────────────────────────── Epoch 118/283 - Validation ──────────────────────────
╔═ Epoch 118/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.66% ║
╚═════════════════════════╝
─────────────────────────── Epoch 119/283 - Training ───────────────────────────
Epoch-Loss: 159.4012
────────────────────────── Epoch 119/283 - Validation ──────────────────────────
╔═ Epoch 119/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 120/283 - Training ───────────────────────────
Epoch-Loss: 158.7449
────────────────────────── Epoch 120/283 - Validation ──────────────────────────
╔═ Epoch 120/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 121/283 - Training ───────────────────────────
Epoch-Loss: 158.6303
────────────────────────── Epoch 121/283 - Validation ──────────────────────────
╔═ Epoch 121/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 122/283 - Training ───────────────────────────
Epoch-Loss: 158.6166
────────────────────────── Epoch 122/283 - Validation ──────────────────────────
╔═ Epoch 122/283 Summary ═╗
║ Validation Loss: 2.5462 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 123/283 - Training ───────────────────────────
Epoch-Loss: 158.6549
────────────────────────── Epoch 123/283 - Validation ──────────────────────────
╔═ Epoch 123/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 124/283 - Training ───────────────────────────
Epoch-Loss: 158.8259
────────────────────────── Epoch 124/283 - Validation ──────────────────────────
╔═ Epoch 124/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 125/283 - Training ───────────────────────────
Epoch-Loss: 159.0414
────────────────────────── Epoch 125/283 - Validation ──────────────────────────
╔═ Epoch 125/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 126/283 - Training ───────────────────────────
Epoch-Loss: 159.2159
────────────────────────── Epoch 126/283 - Validation ──────────────────────────
╔═ Epoch 126/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 127/283 - Training ───────────────────────────
Epoch-Loss: 159.1127
────────────────────────── Epoch 127/283 - Validation ──────────────────────────
╔═ Epoch 127/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 128/283 - Training ───────────────────────────
Epoch-Loss: 159.0418
────────────────────────── Epoch 128/283 - Validation ──────────────────────────
╔═ Epoch 128/283 Summary ═╗
║ Validation Loss: 2.5461 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 129/283 - Training ───────────────────────────
Epoch-Loss: 158.6974
────────────────────────── Epoch 129/283 - Validation ──────────────────────────
╔═ Epoch 129/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 130/283 - Training ───────────────────────────
Epoch-Loss: 158.8331
────────────────────────── Epoch 130/283 - Validation ──────────────────────────
╔═ Epoch 130/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 131/283 - Training ───────────────────────────
Epoch-Loss: 158.5657
────────────────────────── Epoch 131/283 - Validation ──────────────────────────
╔═ Epoch 131/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 132/283 - Training ───────────────────────────
Epoch-Loss: 158.7261
────────────────────────── Epoch 132/283 - Validation ──────────────────────────
╔═ Epoch 132/283 Summary ═╗
║ Validation Loss: 2.5461 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 133/283 - Training ───────────────────────────
Epoch-Loss: 159.0386
────────────────────────── Epoch 133/283 - Validation ──────────────────────────
╔═ Epoch 133/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 134/283 - Training ───────────────────────────
Epoch-Loss: 158.9036
────────────────────────── Epoch 134/283 - Validation ──────────────────────────
╔═ Epoch 134/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 135/283 - Training ───────────────────────────
Epoch-Loss: 158.9234
────────────────────────── Epoch 135/283 - Validation ──────────────────────────
╔═ Epoch 135/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 136/283 - Training ───────────────────────────
Epoch-Loss: 159.0783
────────────────────────── Epoch 136/283 - Validation ──────────────────────────
╔═ Epoch 136/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 137/283 - Training ───────────────────────────
Epoch-Loss: 158.8871
────────────────────────── Epoch 137/283 - Validation ──────────────────────────
╔═ Epoch 137/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 138/283 - Training ───────────────────────────
Epoch-Loss: 158.8704
────────────────────────── Epoch 138/283 - Validation ──────────────────────────
╔═ Epoch 138/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 139/283 - Training ───────────────────────────
Epoch-Loss: 159.5295
────────────────────────── Epoch 139/283 - Validation ──────────────────────────
╔═ Epoch 139/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 140/283 - Training ───────────────────────────
Epoch-Loss: 158.9659
────────────────────────── Epoch 140/283 - Validation ──────────────────────────
╔═ Epoch 140/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.67% ║
╚═════════════════════════╝
─────────────────────────── Epoch 141/283 - Training ───────────────────────────
Epoch-Loss: 158.9438
────────────────────────── Epoch 141/283 - Validation ──────────────────────────
╔═ Epoch 141/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 142/283 - Training ───────────────────────────
Epoch-Loss: 158.5859
────────────────────────── Epoch 142/283 - Validation ──────────────────────────
╔═ Epoch 142/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 143/283 - Training ───────────────────────────
Epoch-Loss: 159.1966
────────────────────────── Epoch 143/283 - Validation ──────────────────────────
╔═ Epoch 143/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 144/283 - Training ───────────────────────────
Epoch-Loss: 158.9666
────────────────────────── Epoch 144/283 - Validation ──────────────────────────
╔═ Epoch 144/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 145/283 - Training ───────────────────────────
Epoch-Loss: 159.2006
────────────────────────── Epoch 145/283 - Validation ──────────────────────────
╔═ Epoch 145/283 Summary ═╗
║ Validation Loss: 2.5448 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 146/283 - Training ───────────────────────────
Epoch-Loss: 158.8259
────────────────────────── Epoch 146/283 - Validation ──────────────────────────
╔═ Epoch 146/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.67% ║
╚═════════════════════════╝
─────────────────────────── Epoch 147/283 - Training ───────────────────────────
Epoch-Loss: 159.2060
────────────────────────── Epoch 147/283 - Validation ──────────────────────────
╔═ Epoch 147/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 148/283 - Training ───────────────────────────
Epoch-Loss: 159.1644
────────────────────────── Epoch 148/283 - Validation ──────────────────────────
╔═ Epoch 148/283 Summary ═╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 149/283 - Training ───────────────────────────
Epoch-Loss: 159.3360
────────────────────────── Epoch 149/283 - Validation ──────────────────────────
╔═ Epoch 149/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 150/283 - Training ───────────────────────────
Epoch-Loss: 159.2388
────────────────────────── Epoch 150/283 - Validation ──────────────────────────
╔═ Epoch 150/283 Summary ═╗
║ Validation Loss: 2.5446 ║
║ Accuracy: 36.67% ║
╚═════════════════════════╝
─────────────────────────── Epoch 151/283 - Training ───────────────────────────
Epoch-Loss: 159.1735
────────────────────────── Epoch 151/283 - Validation ──────────────────────────
╔═ Epoch 151/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 152/283 - Training ───────────────────────────
Epoch-Loss: 159.0228
────────────────────────── Epoch 152/283 - Validation ──────────────────────────
╔═ Epoch 152/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.69% ║
╚═════════════════════════╝
─────────────────────────── Epoch 153/283 - Training ───────────────────────────
Epoch-Loss: 158.8594
────────────────────────── Epoch 153/283 - Validation ──────────────────────────
╔═ Epoch 153/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.69% ║
╚═════════════════════════╝
─────────────────────────── Epoch 154/283 - Training ───────────────────────────
Epoch-Loss: 158.9522
────────────────────────── Epoch 154/283 - Validation ──────────────────────────
╔═ Epoch 154/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 155/283 - Training ───────────────────────────
Epoch-Loss: 158.8254
────────────────────────── Epoch 155/283 - Validation ──────────────────────────
╔═ Epoch 155/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 156/283 - Training ───────────────────────────
Epoch-Loss: 158.9111
────────────────────────── Epoch 156/283 - Validation ──────────────────────────
╔═ Epoch 156/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 157/283 - Training ───────────────────────────
Epoch-Loss: 158.7006
────────────────────────── Epoch 157/283 - Validation ──────────────────────────
╔═ Epoch 157/283 Summary ═╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 158/283 - Training ───────────────────────────
Epoch-Loss: 159.1821
────────────────────────── Epoch 158/283 - Validation ──────────────────────────
╔═ Epoch 158/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.68% ║
╚═════════════════════════╝
─────────────────────────── Epoch 159/283 - Training ───────────────────────────
Epoch-Loss: 158.8221
────────────────────────── Epoch 159/283 - Validation ──────────────────────────
╔═ Epoch 159/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.67% ║
╚═════════════════════════╝
─────────────────────────── Epoch 160/283 - Training ───────────────────────────
Epoch-Loss: 158.7696
────────────────────────── Epoch 160/283 - Validation ──────────────────────────
╔═ Epoch 160/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 161/283 - Training ───────────────────────────
Epoch-Loss: 159.0711
────────────────────────── Epoch 161/283 - Validation ──────────────────────────
╔═ Epoch 161/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 162/283 - Training ───────────────────────────
Epoch-Loss: 158.6991
────────────────────────── Epoch 162/283 - Validation ──────────────────────────
╔═ Epoch 162/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 163/283 - Training ───────────────────────────
Epoch-Loss: 159.0441
────────────────────────── Epoch 163/283 - Validation ──────────────────────────
╔═ Epoch 163/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 164/283 - Training ───────────────────────────
Epoch-Loss: 159.1485
────────────────────────── Epoch 164/283 - Validation ──────────────────────────
╔═ Epoch 164/283 Summary ═╗
║ Validation Loss: 2.5449 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 165/283 - Training ───────────────────────────
Epoch-Loss: 158.7961
────────────────────────── Epoch 165/283 - Validation ──────────────────────────
╔═ Epoch 165/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 166/283 - Training ───────────────────────────
Epoch-Loss: 158.9205
────────────────────────── Epoch 166/283 - Validation ──────────────────────────
╔═ Epoch 166/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.68% ║
╚═════════════════════════╝
─────────────────────────── Epoch 167/283 - Training ───────────────────────────
Epoch-Loss: 159.1589
────────────────────────── Epoch 167/283 - Validation ──────────────────────────
╔═ Epoch 167/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 168/283 - Training ───────────────────────────
Epoch-Loss: 158.6825
────────────────────────── Epoch 168/283 - Validation ──────────────────────────
╔═ Epoch 168/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 169/283 - Training ───────────────────────────
Epoch-Loss: 159.0042
────────────────────────── Epoch 169/283 - Validation ──────────────────────────
╔═ Epoch 169/283 Summary ═╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 170/283 - Training ───────────────────────────
Epoch-Loss: 158.9050
────────────────────────── Epoch 170/283 - Validation ──────────────────────────
╔═ Epoch 170/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 171/283 - Training ───────────────────────────
Epoch-Loss: 158.5394
────────────────────────── Epoch 171/283 - Validation ──────────────────────────
╔═ Epoch 171/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.69% ║
╚═════════════════════════╝
─────────────────────────── Epoch 172/283 - Training ───────────────────────────
Epoch-Loss: 158.7653
────────────────────────── Epoch 172/283 - Validation ──────────────────────────
╔═ Epoch 172/283 Summary ═╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 173/283 - Training ───────────────────────────
Epoch-Loss: 158.7157
────────────────────────── Epoch 173/283 - Validation ──────────────────────────
╔═ Epoch 173/283 Summary ═╗
║ Validation Loss: 2.5462 ║
║ Accuracy: 36.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 174/283 - Training ───────────────────────────
Epoch-Loss: 159.4628
────────────────────────── Epoch 174/283 - Validation ──────────────────────────
╔═ Epoch 174/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 175/283 - Training ───────────────────────────
Epoch-Loss: 158.5093
────────────────────────── Epoch 175/283 - Validation ──────────────────────────
╔═ Epoch 175/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 176/283 - Training ───────────────────────────
Epoch-Loss: 158.9290
────────────────────────── Epoch 176/283 - Validation ──────────────────────────
╔═ Epoch 176/283 Summary ═╗
║ Validation Loss: 2.5461 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 177/283 - Training ───────────────────────────
Epoch-Loss: 158.6674
────────────────────────── Epoch 177/283 - Validation ──────────────────────────
╔═ Epoch 177/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 178/283 - Training ───────────────────────────
Epoch-Loss: 158.8417
────────────────────────── Epoch 178/283 - Validation ──────────────────────────
╔═ Epoch 178/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 179/283 - Training ───────────────────────────
Epoch-Loss: 158.8317
────────────────────────── Epoch 179/283 - Validation ──────────────────────────
╔═ Epoch 179/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.56% ║
╚═════════════════════════╝
─────────────────────────── Epoch 180/283 - Training ───────────────────────────
Epoch-Loss: 159.1944
────────────────────────── Epoch 180/283 - Validation ──────────────────────────
╔═ Epoch 180/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 181/283 - Training ───────────────────────────
Epoch-Loss: 159.1767
────────────────────────── Epoch 181/283 - Validation ──────────────────────────
╔═ Epoch 181/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 182/283 - Training ───────────────────────────
Epoch-Loss: 158.7183
────────────────────────── Epoch 182/283 - Validation ──────────────────────────
╔═ Epoch 182/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 183/283 - Training ───────────────────────────
Epoch-Loss: 159.1253
────────────────────────── Epoch 183/283 - Validation ──────────────────────────
╔═ Epoch 183/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 184/283 - Training ───────────────────────────
Epoch-Loss: 159.2462
────────────────────────── Epoch 184/283 - Validation ──────────────────────────
╔═ Epoch 184/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 185/283 - Training ───────────────────────────
Epoch-Loss: 159.0448
────────────────────────── Epoch 185/283 - Validation ──────────────────────────
╔═ Epoch 185/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 186/283 - Training ───────────────────────────
Epoch-Loss: 158.8524
────────────────────────── Epoch 186/283 - Validation ──────────────────────────
╔═ Epoch 186/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 187/283 - Training ───────────────────────────
Epoch-Loss: 158.6008
────────────────────────── Epoch 187/283 - Validation ──────────────────────────
╔═ Epoch 187/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 188/283 - Training ───────────────────────────
Epoch-Loss: 159.3537
────────────────────────── Epoch 188/283 - Validation ──────────────────────────
╔═ Epoch 188/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 189/283 - Training ───────────────────────────
Epoch-Loss: 159.1613
────────────────────────── Epoch 189/283 - Validation ──────────────────────────
╔═ Epoch 189/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 190/283 - Training ───────────────────────────
Epoch-Loss: 159.0085
────────────────────────── Epoch 190/283 - Validation ──────────────────────────
╔═ Epoch 190/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 191/283 - Training ───────────────────────────
Epoch-Loss: 158.9890
────────────────────────── Epoch 191/283 - Validation ──────────────────────────
╔═ Epoch 191/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 192/283 - Training ───────────────────────────
Epoch-Loss: 158.6533
────────────────────────── Epoch 192/283 - Validation ──────────────────────────
╔═ Epoch 192/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 193/283 - Training ───────────────────────────
Epoch-Loss: 159.0225
────────────────────────── Epoch 193/283 - Validation ──────────────────────────
╔═ Epoch 193/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 194/283 - Training ───────────────────────────
Epoch-Loss: 158.9665
────────────────────────── Epoch 194/283 - Validation ──────────────────────────
╔═ Epoch 194/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 195/283 - Training ───────────────────────────
Epoch-Loss: 159.1475
────────────────────────── Epoch 195/283 - Validation ──────────────────────────
╔═ Epoch 195/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 196/283 - Training ───────────────────────────
Epoch-Loss: 158.9473
────────────────────────── Epoch 196/283 - Validation ──────────────────────────
╔═ Epoch 196/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 197/283 - Training ───────────────────────────
Epoch-Loss: 159.2228
────────────────────────── Epoch 197/283 - Validation ──────────────────────────
╔═ Epoch 197/283 Summary ═╗
║ Validation Loss: 2.5449 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 198/283 - Training ───────────────────────────
Epoch-Loss: 158.9505
────────────────────────── Epoch 198/283 - Validation ──────────────────────────
╔═ Epoch 198/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 199/283 - Training ───────────────────────────
Epoch-Loss: 158.8128
────────────────────────── Epoch 199/283 - Validation ──────────────────────────
╔═ Epoch 199/283 Summary ═╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 200/283 - Training ───────────────────────────
Epoch-Loss: 159.1309
────────────────────────── Epoch 200/283 - Validation ──────────────────────────
╔═ Epoch 200/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.68% ║
╚═════════════════════════╝
─────────────────────────── Epoch 201/283 - Training ───────────────────────────
Epoch-Loss: 158.2740
────────────────────────── Epoch 201/283 - Validation ──────────────────────────
╔═ Epoch 201/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 202/283 - Training ───────────────────────────
Epoch-Loss: 159.0190
────────────────────────── Epoch 202/283 - Validation ──────────────────────────
╔═ Epoch 202/283 Summary ═╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 203/283 - Training ───────────────────────────
Epoch-Loss: 159.1039
────────────────────────── Epoch 203/283 - Validation ──────────────────────────
╔═ Epoch 203/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 204/283 - Training ───────────────────────────
Epoch-Loss: 158.6953
────────────────────────── Epoch 204/283 - Validation ──────────────────────────
╔═ Epoch 204/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 205/283 - Training ───────────────────────────
Epoch-Loss: 159.1796
────────────────────────── Epoch 205/283 - Validation ──────────────────────────
╔═ Epoch 205/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 206/283 - Training ───────────────────────────
Epoch-Loss: 158.5881
────────────────────────── Epoch 206/283 - Validation ──────────────────────────
╔═ Epoch 206/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.66% ║
╚═════════════════════════╝
─────────────────────────── Epoch 207/283 - Training ───────────────────────────
Epoch-Loss: 158.4493
────────────────────────── Epoch 207/283 - Validation ──────────────────────────
╔═ Epoch 207/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 208/283 - Training ───────────────────────────
Epoch-Loss: 158.6606
────────────────────────── Epoch 208/283 - Validation ──────────────────────────
╔═ Epoch 208/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.66% ║
╚═════════════════════════╝
─────────────────────────── Epoch 209/283 - Training ───────────────────────────
Epoch-Loss: 159.2267
────────────────────────── Epoch 209/283 - Validation ──────────────────────────
╔═ Epoch 209/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.66% ║
╚═════════════════════════╝
─────────────────────────── Epoch 210/283 - Training ───────────────────────────
Epoch-Loss: 158.8679
────────────────────────── Epoch 210/283 - Validation ──────────────────────────
╔═ Epoch 210/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 211/283 - Training ───────────────────────────
Epoch-Loss: 159.1811
────────────────────────── Epoch 211/283 - Validation ──────────────────────────
╔═ Epoch 211/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 212/283 - Training ───────────────────────────
Epoch-Loss: 159.4344
────────────────────────── Epoch 212/283 - Validation ──────────────────────────
╔═ Epoch 212/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 213/283 - Training ───────────────────────────
Epoch-Loss: 158.7696
────────────────────────── Epoch 213/283 - Validation ──────────────────────────
╔═ Epoch 213/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 214/283 - Training ───────────────────────────
Epoch-Loss: 159.2485
────────────────────────── Epoch 214/283 - Validation ──────────────────────────
╔═ Epoch 214/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 215/283 - Training ───────────────────────────
Epoch-Loss: 159.2268
────────────────────────── Epoch 215/283 - Validation ──────────────────────────
╔═ Epoch 215/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 216/283 - Training ───────────────────────────
Epoch-Loss: 158.7386
────────────────────────── Epoch 216/283 - Validation ──────────────────────────
╔═ Epoch 216/283 Summary ═╗
║ Validation Loss: 2.5449 ║
║ Accuracy: 36.68% ║
╚═════════════════════════╝
─────────────────────────── Epoch 217/283 - Training ───────────────────────────
Epoch-Loss: 159.0040
────────────────────────── Epoch 217/283 - Validation ──────────────────────────
╔═ Epoch 217/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 218/283 - Training ───────────────────────────
Epoch-Loss: 159.3106
────────────────────────── Epoch 218/283 - Validation ──────────────────────────
╔═ Epoch 218/283 Summary ═╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 219/283 - Training ───────────────────────────
Epoch-Loss: 159.2783
────────────────────────── Epoch 219/283 - Validation ──────────────────────────
╔═ Epoch 219/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.66% ║
╚═════════════════════════╝
─────────────────────────── Epoch 220/283 - Training ───────────────────────────
Epoch-Loss: 159.1536
────────────────────────── Epoch 220/283 - Validation ──────────────────────────
╔═ Epoch 220/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 221/283 - Training ───────────────────────────
Epoch-Loss: 158.8000
────────────────────────── Epoch 221/283 - Validation ──────────────────────────
╔═ Epoch 221/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 222/283 - Training ───────────────────────────
Epoch-Loss: 159.2683
────────────────────────── Epoch 222/283 - Validation ──────────────────────────
╔═ Epoch 222/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 223/283 - Training ───────────────────────────
Epoch-Loss: 159.1107
────────────────────────── Epoch 223/283 - Validation ──────────────────────────
╔═ Epoch 223/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 224/283 - Training ───────────────────────────
Epoch-Loss: 158.7079
────────────────────────── Epoch 224/283 - Validation ──────────────────────────
╔═ Epoch 224/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 225/283 - Training ───────────────────────────
Epoch-Loss: 158.7144
────────────────────────── Epoch 225/283 - Validation ──────────────────────────
╔═ Epoch 225/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 226/283 - Training ───────────────────────────
Epoch-Loss: 159.1649
────────────────────────── Epoch 226/283 - Validation ──────────────────────────
╔═ Epoch 226/283 Summary ═╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 227/283 - Training ───────────────────────────
Epoch-Loss: 158.7881
────────────────────────── Epoch 227/283 - Validation ──────────────────────────
╔═ Epoch 227/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 228/283 - Training ───────────────────────────
Epoch-Loss: 159.2181
────────────────────────── Epoch 228/283 - Validation ──────────────────────────
╔═ Epoch 228/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 229/283 - Training ───────────────────────────
Epoch-Loss: 159.2782
────────────────────────── Epoch 229/283 - Validation ──────────────────────────
╔═ Epoch 229/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 230/283 - Training ───────────────────────────
Epoch-Loss: 158.7930
────────────────────────── Epoch 230/283 - Validation ──────────────────────────
╔═ Epoch 230/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 231/283 - Training ───────────────────────────
Epoch-Loss: 158.9348
────────────────────────── Epoch 231/283 - Validation ──────────────────────────
╔═ Epoch 231/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 232/283 - Training ───────────────────────────
Epoch-Loss: 159.5384
────────────────────────── Epoch 232/283 - Validation ──────────────────────────
╔═ Epoch 232/283 Summary ═╗
║ Validation Loss: 2.5449 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 233/283 - Training ───────────────────────────
Epoch-Loss: 158.8903
────────────────────────── Epoch 233/283 - Validation ──────────────────────────
╔═ Epoch 233/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 234/283 - Training ───────────────────────────
Epoch-Loss: 158.4530
────────────────────────── Epoch 234/283 - Validation ──────────────────────────
╔═ Epoch 234/283 Summary ═╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 235/283 - Training ───────────────────────────
Epoch-Loss: 159.1416
────────────────────────── Epoch 235/283 - Validation ──────────────────────────
╔═ Epoch 235/283 Summary ═╗
║ Validation Loss: 2.5449 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 236/283 - Training ───────────────────────────
Epoch-Loss: 158.5920
────────────────────────── Epoch 236/283 - Validation ──────────────────────────
╔═ Epoch 236/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 237/283 - Training ───────────────────────────
Epoch-Loss: 159.1104
────────────────────────── Epoch 237/283 - Validation ──────────────────────────
╔═ Epoch 237/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 238/283 - Training ───────────────────────────
Epoch-Loss: 158.4581
────────────────────────── Epoch 238/283 - Validation ──────────────────────────
╔═ Epoch 238/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 239/283 - Training ───────────────────────────
Epoch-Loss: 158.8558
────────────────────────── Epoch 239/283 - Validation ──────────────────────────
╔═ Epoch 239/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 240/283 - Training ───────────────────────────
Epoch-Loss: 158.7502
────────────────────────── Epoch 240/283 - Validation ──────────────────────────
╔═ Epoch 240/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 241/283 - Training ───────────────────────────
Epoch-Loss: 158.8426
────────────────────────── Epoch 241/283 - Validation ──────────────────────────
╔═ Epoch 241/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 242/283 - Training ───────────────────────────
Epoch-Loss: 158.8890
────────────────────────── Epoch 242/283 - Validation ──────────────────────────
╔═ Epoch 242/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 243/283 - Training ───────────────────────────
Epoch-Loss: 158.9356
────────────────────────── Epoch 243/283 - Validation ──────────────────────────
╔═ Epoch 243/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 244/283 - Training ───────────────────────────
Epoch-Loss: 158.9660
────────────────────────── Epoch 244/283 - Validation ──────────────────────────
╔═ Epoch 244/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 245/283 - Training ───────────────────────────
Epoch-Loss: 159.3086
────────────────────────── Epoch 245/283 - Validation ──────────────────────────
╔═ Epoch 245/283 Summary ═╗
║ Validation Loss: 2.5449 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 246/283 - Training ───────────────────────────
Epoch-Loss: 158.5960
────────────────────────── Epoch 246/283 - Validation ──────────────────────────
╔═ Epoch 246/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.54% ║
╚═════════════════════════╝
─────────────────────────── Epoch 247/283 - Training ───────────────────────────
Epoch-Loss: 158.9413
────────────────────────── Epoch 247/283 - Validation ──────────────────────────
╔═ Epoch 247/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 248/283 - Training ───────────────────────────
Epoch-Loss: 158.9566
────────────────────────── Epoch 248/283 - Validation ──────────────────────────
╔═ Epoch 248/283 Summary ═╗
║ Validation Loss: 2.5449 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 249/283 - Training ───────────────────────────
Epoch-Loss: 158.8653
────────────────────────── Epoch 249/283 - Validation ──────────────────────────
╔═ Epoch 249/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 250/283 - Training ───────────────────────────
Epoch-Loss: 159.1704
────────────────────────── Epoch 250/283 - Validation ──────────────────────────
╔═ Epoch 250/283 Summary ═╗
║ Validation Loss: 2.5459 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 251/283 - Training ───────────────────────────
Epoch-Loss: 158.6737
────────────────────────── Epoch 251/283 - Validation ──────────────────────────
╔═ Epoch 251/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 252/283 - Training ───────────────────────────
Epoch-Loss: 158.5244
────────────────────────── Epoch 252/283 - Validation ──────────────────────────
╔═ Epoch 252/283 Summary ═╗
║ Validation Loss: 2.5462 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 253/283 - Training ───────────────────────────
Epoch-Loss: 158.6464
────────────────────────── Epoch 253/283 - Validation ──────────────────────────
╔═ Epoch 253/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.67% ║
╚═════════════════════════╝
─────────────────────────── Epoch 254/283 - Training ───────────────────────────
Epoch-Loss: 158.9683
────────────────────────── Epoch 254/283 - Validation ──────────────────────────
╔═ Epoch 254/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 255/283 - Training ───────────────────────────
Epoch-Loss: 158.6118
────────────────────────── Epoch 255/283 - Validation ──────────────────────────
╔═ Epoch 255/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 256/283 - Training ───────────────────────────
Epoch-Loss: 158.9668
────────────────────────── Epoch 256/283 - Validation ──────────────────────────
╔═ Epoch 256/283 Summary ═╗
║ Validation Loss: 2.5448 ║
║ Accuracy: 36.67% ║
╚═════════════════════════╝
─────────────────────────── Epoch 257/283 - Training ───────────────────────────
Epoch-Loss: 158.6271
────────────────────────── Epoch 257/283 - Validation ──────────────────────────
╔═ Epoch 257/283 Summary ═╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 258/283 - Training ───────────────────────────
Epoch-Loss: 158.8741
────────────────────────── Epoch 258/283 - Validation ──────────────────────────
╔═ Epoch 258/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 259/283 - Training ───────────────────────────
Epoch-Loss: 158.9671
────────────────────────── Epoch 259/283 - Validation ──────────────────────────
╔═ Epoch 259/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 260/283 - Training ───────────────────────────
Epoch-Loss: 158.6835
────────────────────────── Epoch 260/283 - Validation ──────────────────────────
╔═ Epoch 260/283 Summary ═╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 261/283 - Training ───────────────────────────
Epoch-Loss: 158.6804
────────────────────────── Epoch 261/283 - Validation ──────────────────────────
╔═ Epoch 261/283 Summary ═╗
║ Validation Loss: 2.5458 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 262/283 - Training ───────────────────────────
Epoch-Loss: 159.1636
────────────────────────── Epoch 262/283 - Validation ──────────────────────────
╔═ Epoch 262/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 263/283 - Training ───────────────────────────
Epoch-Loss: 158.9005
────────────────────────── Epoch 263/283 - Validation ──────────────────────────
╔═ Epoch 263/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 264/283 - Training ───────────────────────────
Epoch-Loss: 158.8308
────────────────────────── Epoch 264/283 - Validation ──────────────────────────
╔═ Epoch 264/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 265/283 - Training ───────────────────────────
Epoch-Loss: 159.0837
────────────────────────── Epoch 265/283 - Validation ──────────────────────────
╔═ Epoch 265/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.71% ║
╚═════════════════════════╝
─────────────────────────── Epoch 266/283 - Training ───────────────────────────
Epoch-Loss: 158.4171
────────────────────────── Epoch 266/283 - Validation ──────────────────────────
╔═ Epoch 266/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 267/283 - Training ───────────────────────────
Epoch-Loss: 159.5083
────────────────────────── Epoch 267/283 - Validation ──────────────────────────
╔═ Epoch 267/283 Summary ═╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 268/283 - Training ───────────────────────────
Epoch-Loss: 159.0333
────────────────────────── Epoch 268/283 - Validation ──────────────────────────
╔═ Epoch 268/283 Summary ═╗
║ Validation Loss: 2.5448 ║
║ Accuracy: 36.63% ║
╚═════════════════════════╝
─────────────────────────── Epoch 269/283 - Training ───────────────────────────
Epoch-Loss: 158.9690
────────────────────────── Epoch 269/283 - Validation ──────────────────────────
╔═ Epoch 269/283 Summary ═╗
║ Validation Loss: 2.5461 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 270/283 - Training ───────────────────────────
Epoch-Loss: 159.2567
────────────────────────── Epoch 270/283 - Validation ──────────────────────────
╔═ Epoch 270/283 Summary ═╗
║ Validation Loss: 2.5453 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 271/283 - Training ───────────────────────────
Epoch-Loss: 158.6643
────────────────────────── Epoch 271/283 - Validation ──────────────────────────
╔═ Epoch 271/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 272/283 - Training ───────────────────────────
Epoch-Loss: 159.0087
────────────────────────── Epoch 272/283 - Validation ──────────────────────────
╔═ Epoch 272/283 Summary ═╗
║ Validation Loss: 2.5450 ║
║ Accuracy: 36.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 273/283 - Training ───────────────────────────
Epoch-Loss: 159.0182
────────────────────────── Epoch 273/283 - Validation ──────────────────────────
╔═ Epoch 273/283 Summary ═╗
║ Validation Loss: 2.5457 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 274/283 - Training ───────────────────────────
Epoch-Loss: 158.7590
────────────────────────── Epoch 274/283 - Validation ──────────────────────────
╔═ Epoch 274/283 Summary ═╗
║ Validation Loss: 2.5448 ║
║ Accuracy: 36.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 275/283 - Training ───────────────────────────
Epoch-Loss: 159.1019
────────────────────────── Epoch 275/283 - Validation ──────────────────────────
╔═ Epoch 275/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 276/283 - Training ───────────────────────────
Epoch-Loss: 158.9264
────────────────────────── Epoch 276/283 - Validation ──────────────────────────
╔═ Epoch 276/283 Summary ═╗
║ Validation Loss: 2.5456 ║
║ Accuracy: 36.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 277/283 - Training ───────────────────────────
Epoch-Loss: 158.9074
────────────────────────── Epoch 277/283 - Validation ──────────────────────────
╔═ Epoch 277/283 Summary ═╗
║ Validation Loss: 2.5452 ║
║ Accuracy: 36.62% ║
╚═════════════════════════╝
─────────────────────────── Epoch 278/283 - Training ───────────────────────────
Epoch-Loss: 158.9203
────────────────────────── Epoch 278/283 - Validation ──────────────────────────
╔═ Epoch 278/283 Summary ═╗
║ Validation Loss: 2.5451 ║
║ Accuracy: 36.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 279/283 - Training ───────────────────────────
Epoch-Loss: 159.1522
────────────────────────── Epoch 279/283 - Validation ──────────────────────────
╔═ Epoch 279/283 Summary ═╗
║ Validation Loss: 2.5460 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 280/283 - Training ───────────────────────────
Epoch-Loss: 159.0750
────────────────────────── Epoch 280/283 - Validation ──────────────────────────
╔═ Epoch 280/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.65% ║
╚═════════════════════════╝
─────────────────────────── Epoch 281/283 - Training ───────────────────────────
Epoch-Loss: 158.5963
────────────────────────── Epoch 281/283 - Validation ──────────────────────────
╔═ Epoch 281/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 282/283 - Training ───────────────────────────
Epoch-Loss: 158.3169
────────────────────────── Epoch 282/283 - Validation ──────────────────────────
╔═ Epoch 282/283 Summary ═╗
║ Validation Loss: 2.5455 ║
║ Accuracy: 36.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 283/283 - Training ───────────────────────────
Epoch-Loss: 158.9163
────────────────────────── Epoch 283/283 - Validation ──────────────────────────
╔═ Epoch 283/283 Summary ═╗
║ Validation Loss: 2.5454 ║
║ Accuracy: 36.66% ║
╚═════════════════════════╝
VAL_LOSS: 2.5453540545243483
VAL_ACC: 36.66
RUNTIME: 2777.418
NORMALIZED_RUNTIME: 38.575
stderr:
/data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/.torch_venv_1bdd5e1e8b/lib64/python3.9/site-packages/torch/utils/data/dataloader.py:627: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 1, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Result: {'VAL_ACC': 36.66, 'NORMALIZED_RUNTIME': 38.575}
Final-results: {'VAL_ACC': 36.66, 'NORMALIZED_RUNTIME': 38.575}
EXIT_CODE: 0
submitit INFO (2025-10-22 14:57:16,813) - Job completed successfully
submitit INFO (2025-10-22 14:57:16,817) - Exiting after successful completion
