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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,RUNTIME,epochs,lr,batch_size,hidden_size,dropout,num_dense_layers,filter,num_conv_layers
0,1762242705,42,2dea3aba-4ba9-4571-9519-13628c704362,1762242747,1762243378,631,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 48 --learning_rate 0.00065352645516395576 --batch_size 127 --hidden_size 3894 --dropout 0.19750206172466278076 --num_dense_layers 1 --filter 35 --num_conv_layers 6,0,,c141,1212940,0_0,COMPLETED,SOBOL,57.28000000000000113686837721616,622.049999999999954525264911353588,48,0.000653526455163955764804395443,127,3894,0.19750206172466278076171875,1,35,6
1,1762242704,3,2dea3aba-4ba9-4571-9519-13628c704362,1762242707,1762244095,1388,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 130 --learning_rate 0.00040983213894069191 --batch_size 978 --hidden_size 1346 --dropout 0.34466525865718722343 --num_dense_layers 2 --filter 74 --num_conv_layers 5,0,,c153,1212930,1_0,COMPLETED,SOBOL,56.909999999999996589394868351519,1382.496000000000094587448984384537,130,0.000409832138940691907517954728,978,1346,0.344665258657187223434448242188,2,74,5
2,1762242705,43,2dea3aba-4ba9-4571-9519-13628c704362,1762242748,1762243796,1048,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00080136492941528567 --batch_size 422 --hidden_size 2740 --dropout 0.37621737644076347351 --num_dense_layers 2 --filter 14 --num_conv_layers 4,0,,c143,1212939,2_0,COMPLETED,SOBOL,49.17000000000000170530256582424,1042.047000000000025465851649641991,102,0.000801364929415285666240709173,422,2740,0.3762173764407634735107421875,2,14,4
3,1762242704,22,2dea3aba-4ba9-4571-9519-13628c704362,1762242726,1762243297,571,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.00010763616859912873 --batch_size 525 --hidden_size 193 --dropout 0.04289707634598016739 --num_dense_layers 1 --filter 55 --num_conv_layers 7,0,,c153,1212931,3_0,COMPLETED,SOBOL,39.75,561.679999999999949977791402488947,53,0.000107636168599128728348701678,525,193,0.042897076345980167388916015625,1,55,7
4,1762242704,22,2dea3aba-4ba9-4571-9519-13628c704362,1762242726,1762243575,849,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 85 --learning_rate 0.00099867669949308042 --batch_size 776 --hidden_size 722 --dropout 0.06947280885651707649 --num_dense_layers 1 --filter 9 --num_conv_layers 4,0,,c152,1212932,4_0,COMPLETED,SOBOL,40.729999999999996873611962655559,838.682000000000016370904631912708,85,0.00099867669949308041955904347,776,722,0.069472808856517076492309570312,1,9,4
5,1762242704,43,2dea3aba-4ba9-4571-9519-13628c704362,1762242747,1762243965,1218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 101 --learning_rate 0.00030671433759853244 --batch_size 178 --hidden_size 2247 --dropout 0.48236834397539496422 --num_dense_layers 2 --filter 51 --num_conv_layers 7,0,,c143,1212937,5_0,COMPLETED,SOBOL,56.159999999999996589394868351519,1210.82300000000009276845958083868,101,0.00030671433759853244027313024,178,2247,0.482368343975394964218139648438,2,51,7
6,1762242705,91,2dea3aba-4ba9-4571-9519-13628c704362,1762242796,1762244230,1434,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 139 --learning_rate 0.00068209551246836784 --batch_size 736 --hidden_size 1875 --dropout 0.26184550859034061432 --num_dense_layers 2 --filter 30 --num_conv_layers 6,0,,c139,1212945,6_0,COMPLETED,SOBOL,52.71999999999999886313162278384,1425.097999999999956344254314899445,139,0.000682095512468367838609939469,736,1875,0.26184550859034061431884765625,2,30,6
7,1762242705,93,2dea3aba-4ba9-4571-9519-13628c704362,1762242798,1762243098,300,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 25 --learning_rate 0.00044015387063845991 --batch_size 378 --hidden_size 3401 --dropout 0.16303700860589742661 --num_dense_layers 1 --filter 69 --num_conv_layers 5,0,,c139,1212946,7_0,COMPLETED,SOBOL,57.200000000000002842170943040401,292.144000000000005456968210637569,25,0.000440153870638459912122825157,378,3401,0.163037008605897426605224609375,1,69,5
8,1762242704,44,2dea3aba-4ba9-4571-9519-13628c704362,1762242748,1762243072,324,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 31 --learning_rate 0.00086238564802333716 --batch_size 671 --hidden_size 2311 --dropout 0.31414425047114491463 --num_dense_layers 1 --filter 8 --num_conv_layers 4,0,,c146,1212936,8_0,COMPLETED,SOBOL,40.810000000000002273736754432321,314.701000000000021827872842550278,31,0.000862385648023337157176693157,671,2311,0.314144250471144914627075195312,1,8,4
9,1762242705,91,2dea3aba-4ba9-4571-9519-13628c704362,1762242796,1762244409,1613,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 146 --learning_rate 0.0002038330257870257 --batch_size 312 --hidden_size 786 --dropout 0.22996927937492728233 --num_dense_layers 2 --filter 42 --num_conv_layers 7,0,,c139,1212944,9_0,COMPLETED,SOBOL,47.619999999999997442046151263639,1607.325000000000045474735088646412,146,0.000203833025787025697581414385,312,786,0.229969279374927282333374023438,2,42,7
10,1762242704,22,2dea3aba-4ba9-4571-9519-13628c704362,1762242726,1762243612,886,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00055997694497928038 --batch_size 837 --hidden_size 3210 --dropout 0.01042884774506092072 --num_dense_layers 2 --filter 26 --num_conv_layers 6,0,,c151,1212933,10_0,COMPLETED,SOBOL,47.229999999999996873611962655559,877.354000000000041836756281554699,86,0.000559976944979280379793840083,837,3210,0.01042884774506092071533203125,2,26,6
11,1762242704,22,2dea3aba-4ba9-4571-9519-13628c704362,1762242726,1762243520,794,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00035144480140879747 --batch_size 240 --hidden_size 1684 --dropout 0.40673749055713415146 --num_dense_layers 1 --filter 63 --num_conv_layers 5,0,,c149,1212934,11_0,COMPLETED,SOBOL,61.090000000000003410605131648481,788.120999999999980900611262768507,70,0.000351444801408797469644690326,240,1684,0.406737490557134151458740234375,1,63,5
12,1762242704,43,2dea3aba-4ba9-4571-9519-13628c704362,1762242747,1762243471,724,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 68 --learning_rate 0.00075464834682643412 --batch_size 490 --hidden_size 1283 --dropout 0.44989439332857728004 --num_dense_layers 1 --filter 40 --num_conv_layers 6,0,,c148,1212935,12_0,COMPLETED,SOBOL,55.03000000000000113686837721616,714.004999999999995452526491135359,68,0.00075464834682643412450825382,490,1283,0.449894393328577280044555664062,1,40,6
13,1762242705,51,2dea3aba-4ba9-4571-9519-13628c704362,1762242756,1762244126,1370,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00054788260217756028 --batch_size 595 --hidden_size 3831 --dropout 0.09998720092698931694 --num_dense_layers 2 --filter 78 --num_conv_layers 5,0,,c140,1212941,13_0,COMPLETED,SOBOL,59.57000000000000028421709430404,1366.531999999999925421434454619884,117,0.000547882602177560281385415575,595,3831,0.099987200926989316940307617188,2,78,5
14,1762242704,44,2dea3aba-4ba9-4571-9519-13628c704362,1762242748,1762244342,1594,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 123 --learning_rate 0.00088831434547901158 --batch_size 70 --hidden_size 385 --dropout 0.1325217224657535553 --num_dense_layers 2 --filter 22 --num_conv_layers 4,0,,c143,1212938,14_0,COMPLETED,SOBOL,51.92000000000000170530256582424,1587.902000000000043655745685100555,123,0.000888314345479011575196226502,70,385,0.1325217224657535552978515625,2,22,4
15,1762242704,63,2dea3aba-4ba9-4571-9519-13628c704362,1762242767,1762243238,471,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 41 --learning_rate 0.00023151438925415277 --batch_size 920 --hidden_size 2932 --dropout 0.29431844595819711685 --num_dense_layers 1 --filter 57 --num_conv_layers 7,0,,c140,1212942,15_0,COMPLETED,SOBOL,50.21999999999999886313162278384,466.404999999999972715158946812153,41,0.000231514389254152774897527189,920,2932,0.294318445958197116851806640625,1,57,7
16,1762242705,91,2dea3aba-4ba9-4571-9519-13628c704362,1762242796,1762243246,450,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00092337709031999114 --batch_size 283 --hidden_size 1995 --dropout 0.04933135956525802612 --num_dense_layers 2 --filter 73 --num_conv_layers 4,0,,c139,1212943,16_0,COMPLETED,SOBOL,57.840000000000003410605131648481,445.817999999999983629095368087292,38,0.000923377090319991143153866009,283,1995,0.049331359565258026123046875,2,73,4
17,1762242715,71,2dea3aba-4ba9-4571-9519-13628c704362,1762242786,1762244021,1235,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.0002666576674208045 --batch_size 703 --hidden_size 3536 --dropout 0.39875026512891054153 --num_dense_layers 1 --filter 36 --num_conv_layers 7,0,,c137,1212949,17_0,COMPLETED,SOBOL,46.42000000000000170530256582424,1227.454999999999927240423858165741,120,0.000266657667420804500753306332,703,3536,0.398750265128910541534423828125,1,36,7
18,1762242715,76,2dea3aba-4ba9-4571-9519-13628c704362,1762242791,1762244105,1314,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00071953579336404806 --batch_size 211 --hidden_size 585 --dropout 0.36865687975659966469 --num_dense_layers 1 --filter 52 --num_conv_layers 6,0,,c138,1212947,18_0,COMPLETED,SOBOL,59.479999999999996873611962655559,1307.09200000000009822542779147625,112,0.000719535793364048056365567252,211,585,0.368656879756599664688110351562,1,52,6
19,1762242715,71,2dea3aba-4ba9-4571-9519-13628c704362,1762242786,1762243421,635,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00051279589179903265 --batch_size 870 --hidden_size 2127 --dropout 0.20637188432738184929 --num_dense_layers 2 --filter 17 --num_conv_layers 5,0,,c137,1212948,19_0,COMPLETED,SOBOL,48.159999999999996589394868351519,630.609000000000037289282772690058,63,0.000512795891799032650150425017,870,2127,0.206371884327381849288940429688,2,17,5
20,1762244509,23,2dea3aba-4ba9-4571-9519-13628c704362,1762244532,1762244776,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056485737829892343 --batch_size 287 --hidden_size 3731 --dropout 0.44348351847407402326 --num_dense_layers 2 --filter 76 --num_conv_layers 5,0,,c135,1212997,20_0,COMPLETED,BOTORCH_MODULAR,55.1000000000000014210854715202,240.977000000000003865352482534945,20,0.000564857378298923426193645092,287,3731,0.443483518474074023263398203198,2,76,5
21,1762244509,3,2dea3aba-4ba9-4571-9519-13628c704362,1762244512,1762244751,239,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056498641628022141 --batch_size 288 --hidden_size 3760 --dropout 0.44214328644261169377 --num_dense_layers 2 --filter 76 --num_conv_layers 5,0,,c148,1212994,21_0,COMPLETED,BOTORCH_MODULAR,54.880000000000002557953848736361,234.893000000000000682121026329696,20,0.000564986416280221408550699103,288,3760,0.442143286442611693765059044381,2,76,5
22,1762244510,93,2dea3aba-4ba9-4571-9519-13628c704362,1762244603,1762244859,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056268100907978802 --batch_size 286 --hidden_size 3118 --dropout 0.44771608923138184188 --num_dense_layers 2 --filter 75 --num_conv_layers 5,0,,c129,1213011,22_0,COMPLETED,BOTORCH_MODULAR,55.049999999999997157829056959599,243.812999999999988176568876951933,20,0.000562681009079788016676026974,286,3118,0.447716089231381841884171990387,2,75,5
23,1762244509,61,2dea3aba-4ba9-4571-9519-13628c704362,1762244570,1762244827,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00057122129345601417 --batch_size 302 --hidden_size 3727 --dropout 0.43372481299466264515 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c130,1213006,23_0,COMPLETED,BOTORCH_MODULAR,55.28999999999999914734871708788,248.616999999999990222931955941021,20,0.000571221293456014166285694689,302,3727,0.43372481299466264514919089379,2,80,5
24,1762244509,43,2dea3aba-4ba9-4571-9519-13628c704362,1762244552,1762244809,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00055786535833740678 --batch_size 255 --hidden_size 3568 --dropout 0.44325194872964784887 --num_dense_layers 2 --filter 74 --num_conv_layers 5,0,,c131,1213005,24_0,COMPLETED,BOTORCH_MODULAR,54.259999999999998010480339871719,249.79900000000000659383658785373,20,0.000557865358337406784354495226,255,3568,0.443251948729647848868040682646,2,74,5
25,1762244509,43,2dea3aba-4ba9-4571-9519-13628c704362,1762244552,1762244801,249,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056543425475229767 --batch_size 289 --hidden_size 3778 --dropout 0.44109142392106920338 --num_dense_layers 2 --filter 76 --num_conv_layers 5,0,,c134,1212998,25_0,COMPLETED,BOTORCH_MODULAR,50.439999999999997726263245567679,244.792000000000001591615728102624,20,0.00056543425475229767453166918,289,3778,0.441091423921069203384348611507,2,76,5
26,1762244509,43,2dea3aba-4ba9-4571-9519-13628c704362,1762244552,1762244802,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056901812384461178 --batch_size 312 --hidden_size 3591 --dropout 0.44024833133600005386 --num_dense_layers 2 --filter 76 --num_conv_layers 5,0,,c132,1213004,26_0,COMPLETED,BOTORCH_MODULAR,53.5,241.625,20,0.000569018123844611777017998833,312,3591,0.440248331336000053859436320636,2,76,5
27,1762244509,3,2dea3aba-4ba9-4571-9519-13628c704362,1762244512,1762244757,245,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056552699427835865 --batch_size 289 --hidden_size 3744 --dropout 0.44105901064312308391 --num_dense_layers 2 --filter 76 --num_conv_layers 5,0,,c139,1212995,27_0,COMPLETED,BOTORCH_MODULAR,52.950000000000002842170943040401,240.965000000000003410605131648481,20,0.000565526994278358653700511383,289,3744,0.441059010643123083905692283224,2,76,5
28,1762244509,43,2dea3aba-4ba9-4571-9519-13628c704362,1762244552,1762244808,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056465000999718449 --batch_size 288 --hidden_size 3806 --dropout 0.44139601555178609171 --num_dense_layers 2 --filter 75 --num_conv_layers 5,0,,c134,1212999,28_0,COMPLETED,BOTORCH_MODULAR,53.96999999999999886313162278384,249.903999999999996362021192908287,20,0.000564650009997184486494614664,288,3806,0.441396015551786091712926918262,2,75,5
29,1762244509,49,2dea3aba-4ba9-4571-9519-13628c704362,1762244558,1762244813,255,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056421901808413133 --batch_size 287 --hidden_size 3742 --dropout 0.44311990564326420028 --num_dense_layers 2 --filter 75 --num_conv_layers 5,0,,c133,1213001,29_0,COMPLETED,BOTORCH_MODULAR,55.57999999999999829469743417576,245.074000000000012278178473934531,20,0.00056421901808413133308506282,287,3742,0.443119905643264200278963471646,2,75,5
30,1762244509,49,2dea3aba-4ba9-4571-9519-13628c704362,1762244558,1762244814,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056712891013320781 --batch_size 296 --hidden_size 3483 --dropout 0.43901896920433480798 --num_dense_layers 2 --filter 77 --num_conv_layers 5,0,,c133,1213003,30_0,COMPLETED,BOTORCH_MODULAR,54.490000000000001989519660128281,247.699999999999988631316227838397,20,0.00056712891013320780760065265,296,3483,0.439018969204334807976408683317,2,77,5
31,1762244509,49,2dea3aba-4ba9-4571-9519-13628c704362,1762244558,1762244813,255,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0005651736362040779 --batch_size 288 --hidden_size 3666 --dropout 0.44167354383511381322 --num_dense_layers 2 --filter 76 --num_conv_layers 5,0,,c133,1213002,31_0,COMPLETED,BOTORCH_MODULAR,55.89000000000000056843418860808,247.393000000000000682121026329696,20,0.000565173636204077895275887933,288,3666,0.441673543835113813216253220162,2,76,5
32,1762244509,49,2dea3aba-4ba9-4571-9519-13628c704362,1762244558,1762244813,255,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0005627471974291743 --batch_size 286 --hidden_size 2760 --dropout 0.4451682242911227938 --num_dense_layers 2 --filter 75 --num_conv_layers 5,0,,c133,1213000,32_0,COMPLETED,BOTORCH_MODULAR,53.869999999999997442046151263639,241.296999999999997044142219237983,20,0.000562747197429174297877985111,286,2760,0.445168224291122793800923318486,2,75,5
33,1762244509,77,2dea3aba-4ba9-4571-9519-13628c704362,1762244586,1762244830,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056433469200480816 --batch_size 288 --hidden_size 3728 --dropout 0.44186752522365213558 --num_dense_layers 2 --filter 75 --num_conv_layers 5,0,,c130,1213008,33_0,COMPLETED,BOTORCH_MODULAR,54.5,239.377000000000009549694368615746,20,0.000564334692004808159693229896,288,3728,0.441867525223652135579754940409,2,75,5
34,1762244509,17,2dea3aba-4ba9-4571-9519-13628c704362,1762244526,1762244776,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00057013972051151156 --batch_size 301 --hidden_size 2811 --dropout 0.43580969385657125637 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c135,1212996,34_0,COMPLETED,BOTORCH_MODULAR,55.17999999999999971578290569596,240.472000000000008412825991399586,20,0.000570139720511511562291151467,301,2811,0.435809693856571256365128874677,2,80,5
35,1762244511,61,2dea3aba-4ba9-4571-9519-13628c704362,1762244572,1762244829,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056416545469660973 --batch_size 287 --hidden_size 3754 --dropout 0.44323591989672189717 --num_dense_layers 2 --filter 75 --num_conv_layers 5,0,,c130,1213007,35_0,COMPLETED,BOTORCH_MODULAR,54.869999999999997442046151263639,247.03000000000000113686837721616,20,0.000564165454696609726739642277,287,3754,0.443235919896721897170976944835,2,75,5
36,1762244510,81,2dea3aba-4ba9-4571-9519-13628c704362,1762244591,1762244829,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00057174477564631953 --batch_size 302 --hidden_size 3759 --dropout 0.43191254602076512015 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c130,1213009,36_0,COMPLETED,BOTORCH_MODULAR,55.700000000000002842170943040401,234.139000000000010004441719502211,20,0.000571744775646319531962891158,302,3759,0.431912546020765120147189009003,2,80,5
37,1762244511,90,2dea3aba-4ba9-4571-9519-13628c704362,1762244601,1762244857,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056501020259311894 --batch_size 288 --hidden_size 3547 --dropout 0.4435920899316767585 --num_dense_layers 2 --filter 76 --num_conv_layers 5,0,,c129,1213010,37_0,COMPLETED,BOTORCH_MODULAR,56.03999999999999914734871708788,245.084000000000003183231456205249,20,0.000565010202593118943288630351,288,3547,0.443592089931676758496337242832,2,76,5
38,1762244520,81,2dea3aba-4ba9-4571-9519-13628c704362,1762244601,1762244857,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056377071506996039 --batch_size 287 --hidden_size 3721 --dropout 0.44328055123001536275 --num_dense_layers 2 --filter 75 --num_conv_layers 5,0,,c129,1213012,38_0,COMPLETED,BOTORCH_MODULAR,55.090000000000003410605131648481,248.764999999999986357579473406076,20,0.000563770715069960388562964049,287,3721,0.443280551230015362751402108188,2,75,5
39,1762244525,76,2dea3aba-4ba9-4571-9519-13628c704362,1762244601,1762244857,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056520982980088025 --batch_size 289 --hidden_size 3649 --dropout 0.44086723006352124266 --num_dense_layers 2 --filter 76 --num_conv_layers 5,0,,c129,1213014,39_0,COMPLETED,BOTORCH_MODULAR,52.67999999999999971578290569596,247.681999999999987949195201508701,20,0.00056520982980088024620612952,289,3649,0.440867230063521242655610876682,2,76,5
40,1762245106,80,2dea3aba-4ba9-4571-9519-13628c704362,1762245186,1762245422,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00049732739015432475 --batch_size 279 --hidden_size 8 --dropout 0.20793666201113661374 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213023,40_0,COMPLETED,BOTORCH_MODULAR,1,231.381000000000000227373675443232,20,0.000497327390154324745080716141,279,8,0.207936662011136613736894673821,1,80,4
41,1762245105,34,2dea3aba-4ba9-4571-9519-13628c704362,1762245139,1762245371,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00049012024905953095 --batch_size 299 --hidden_size 8 --dropout 0.21849254611588830866 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c139,1213016,41_0,COMPLETED,BOTORCH_MODULAR,1,224.269000000000005456968210637569,20,0.000490120249059530950497265422,299,8,0.218492546115888308655428318161,1,80,4
42,1762245105,14,2dea3aba-4ba9-4571-9519-13628c704362,1762245119,1762245344,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00049143251566496427 --batch_size 322 --hidden_size 8 --dropout 0.21676354398422162384 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c148,1213015,42_0,COMPLETED,BOTORCH_MODULAR,1,219.448000000000007503331289626658,20,0.000491432515664964267992909086,322,8,0.216763543984221623839303560999,1,80,4
43,1762245106,94,2dea3aba-4ba9-4571-9519-13628c704362,1762245200,1762245425,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047260051641834873 --batch_size 300 --hidden_size 8 --dropout 0.19831422476238186325 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213025,43_0,COMPLETED,BOTORCH_MODULAR,1,220.082999999999998408384271897376,20,0.000472600516418348725461440196,300,8,0.198314224762381863254034897182,1,80,4
44,1762245106,73,2dea3aba-4ba9-4571-9519-13628c704362,1762245179,1762245405,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00048626219376943491 --batch_size 315 --hidden_size 8 --dropout 0.21429412027651312256 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c148,1213020,44_0,COMPLETED,BOTORCH_MODULAR,1,222.180000000000006821210263296962,20,0.000486262193769434905663701096,315,8,0.214294120276513122558270652007,1,80,4
45,1762245105,80,2dea3aba-4ba9-4571-9519-13628c704362,1762245185,1762245504,319,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00043339073195572929 --batch_size 53 --hidden_size 579 --dropout 0.47132188509644795671 --num_dense_layers 1 --filter 54 --num_conv_layers 6,0,,c133,1213022,45_0,COMPLETED,BOTORCH_MODULAR,51.17999999999999971578290569596,314.208000000000026830093702301383,20,0.0004333907319557292860470743,53,579,0.47132188509644795670894268369,1,54,6
46,1762245106,73,2dea3aba-4ba9-4571-9519-13628c704362,1762245179,1762245409,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047190744645286538 --batch_size 330 --hidden_size 8 --dropout 0.22117841771447951937 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c134,1213021,46_0,COMPLETED,BOTORCH_MODULAR,1,224.307999999999992724042385816574,20,0.000471907446452865379261931711,330,8,0.221178417714479519373682592231,1,80,4
47,1762245106,103,2dea3aba-4ba9-4571-9519-13628c704362,1762245209,1762245452,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047672553400874098 --batch_size 313 --hidden_size 8 --dropout 0.21484356072388430259 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213028,47_0,COMPLETED,BOTORCH_MODULAR,1,231.955999999999988858689903281629,20,0.000476725534008740981298246631,313,8,0.21484356072388430258790492644,1,80,4
48,1762245106,103,2dea3aba-4ba9-4571-9519-13628c704362,1762245209,1762245453,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0004571431847904983 --batch_size 293 --hidden_size 8 --dropout 0.21582793303318234535 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213029,48_0,COMPLETED,BOTORCH_MODULAR,1,235.408999999999991814547684043646,20,0.000457143184790498302832312261,293,8,0.215827933033182345345935004843,1,80,4
49,1762245106,93,2dea3aba-4ba9-4571-9519-13628c704362,1762245199,1762245482,283,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00046310278102815042 --batch_size 76 --hidden_size 180 --dropout 0.5 --num_dense_layers 1 --filter 50 --num_conv_layers 6,0,,c132,1213026,49_0,COMPLETED,BOTORCH_MODULAR,45.6499999999999985789145284798,274.351999999999975443643052130938,20,0.000463102781028150423635325605,76,180,0.5,1,50,6
50,1762245106,50,2dea3aba-4ba9-4571-9519-13628c704362,1762245156,1762245387,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047517725643525234 --batch_size 283 --hidden_size 8 --dropout 0.2134481684832920112 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c134,1213019,50_0,COMPLETED,BOTORCH_MODULAR,1,223.382000000000005002220859751105,20,0.000475177256435252339927116649,283,8,0.213448168483292011199381477127,1,80,4
51,1762245106,103,2dea3aba-4ba9-4571-9519-13628c704362,1762245209,1762245453,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00048803052259595531 --batch_size 289 --hidden_size 259 --dropout 0.20666757386909301308 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213030,51_0,COMPLETED,BOTORCH_MODULAR,39.380000000000002557953848736361,237.197000000000002728484105318785,20,0.000488030522595955308130799555,289,259,0.206667573869093013083642063066,1,80,4
52,1762245106,50,2dea3aba-4ba9-4571-9519-13628c704362,1762245156,1762245387,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00046159695804398414 --batch_size 273 --hidden_size 8 --dropout 0.2196081882289123155 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c135,1213018,52_0,COMPLETED,BOTORCH_MODULAR,1,223.568999999999988403942552395165,20,0.000461596958043984141335097648,273,8,0.21960818822891231549832014025,1,80,4
53,1762245106,93,2dea3aba-4ba9-4571-9519-13628c704362,1762245199,1762245424,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00049545330790873993 --batch_size 289 --hidden_size 158 --dropout 0.20695307239948781963 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c131,1213027,53_0,COMPLETED,BOTORCH_MODULAR,32.939999999999997726263245567679,220.401999999999986812326824292541,20,0.000495453307908739928704100475,289,158,0.206953072399487819632568630368,1,80,4
54,1762245106,33,2dea3aba-4ba9-4571-9519-13628c704362,1762245139,1762245364,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047388063550475037 --batch_size 390 --hidden_size 356 --dropout 0.20735455625165311044 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c135,1213017,54_0,COMPLETED,BOTORCH_MODULAR,45.10999999999999943156581139192,218.048000000000001818989403545856,20,0.000473880635504750368815207739,390,356,0.207354556251653110443555760867,1,80,4
55,1762245106,80,2dea3aba-4ba9-4571-9519-13628c704362,1762245186,1762245423,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00044882638372800265 --batch_size 285 --hidden_size 8 --dropout 0.21965287584813902866 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213024,55_0,COMPLETED,BOTORCH_MODULAR,1,230.657000000000010686562745831907,20,0.000448826383728002649246835443,285,8,0.219652875848139028658323468335,1,80,4
56,1762245116,100,2dea3aba-4ba9-4571-9519-13628c704362,1762245216,1762245453,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00051683918304980638 --batch_size 310 --hidden_size 8 --dropout 0.20189314595657467666 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213031,56_0,COMPLETED,BOTORCH_MODULAR,1,225.931999999999987949195201508701,20,0.000516839183049806380997048816,310,8,0.201893145956574676658235034665,1,80,4
57,1762245126,101,2dea3aba-4ba9-4571-9519-13628c704362,1762245227,1762245470,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00048255465348058643 --batch_size 297 --hidden_size 8 --dropout 0.21451603300317376166 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213033,57_0,COMPLETED,BOTORCH_MODULAR,1,230.246000000000009322320693172514,20,0.000482554653480586430956689181,297,8,0.214516033003173761661841467685,1,80,4
58,1762245131,96,2dea3aba-4ba9-4571-9519-13628c704362,1762245227,1762245470,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047829132807957912 --batch_size 293 --hidden_size 989 --dropout 0.21056797830139170613 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213032,58_0,COMPLETED,BOTORCH_MODULAR,51.939999999999997726263245567679,236.257000000000005002220859751105,20,0.000478291328079579120598902042,293,989,0.210567978301391706130729630786,1,80,4
59,1762245141,86,2dea3aba-4ba9-4571-9519-13628c704362,1762245227,1762245470,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0004790101409321488 --batch_size 304 --hidden_size 8 --dropout 0.22961048223816432623 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213034,59_0,COMPLETED,BOTORCH_MODULAR,1,232.282000000000010686562745831907,20,0.000479010140932148800480688822,304,8,0.229610482238164326229679090829,1,80,4
60,1762245689,62,2dea3aba-4ba9-4571-9519-13628c704362,1762245751,1762245976,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 806 --hidden_size 3721 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c131,1213050,60_0,COMPLETED,BOTORCH_MODULAR,45.28999999999999914734871708788,216.133999999999986130205797962844,20,0.001000000000000000020816681712,806,3721,0,1,80,4
61,1762245688,44,2dea3aba-4ba9-4571-9519-13628c704362,1762245732,1762245962,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 826 --hidden_size 3723 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213047,61_0,COMPLETED,BOTORCH_MODULAR,51.409999999999996589394868351519,225.429000000000002046363078989089,20,0.001000000000000000020816681712,826,3723,0,1,80,4
62,1762245689,22,2dea3aba-4ba9-4571-9519-13628c704362,1762245711,1762245936,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 825 --hidden_size 3714 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c135,1213042,62_0,COMPLETED,BOTORCH_MODULAR,52.060000000000002273736754432321,220.516999999999995907273842021823,20,0.001000000000000000020816681712,825,3714,0,1,80,4
63,1762245688,44,2dea3aba-4ba9-4571-9519-13628c704362,1762245732,1762245962,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00096821838068112233 --batch_size 873 --hidden_size 3711 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213046,63_0,COMPLETED,BOTORCH_MODULAR,51.049999999999997157829056959599,223.322000000000002728484105318785,20,0.000968218380681122332137578113,873,3711,0,1,80,4
64,1762245689,22,2dea3aba-4ba9-4571-9519-13628c704362,1762245711,1762245935,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 862 --hidden_size 3704 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c134,1213044,64_0,COMPLETED,BOTORCH_MODULAR,33.659999999999996589394868351519,216.225999999999999090505298227072,20,0.001000000000000000020816681712,862,3704,0,1,80,4
65,1762245688,73,2dea3aba-4ba9-4571-9519-13628c704362,1762245761,1762245997,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 943 --hidden_size 3729 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213053,65_0,COMPLETED,BOTORCH_MODULAR,45.909999999999996589394868351519,223.54599999999999226929503493011,20,0.001000000000000000020816681712,943,3729,0,1,80,4
66,1762245689,43,2dea3aba-4ba9-4571-9519-13628c704362,1762245732,1762245968,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 820 --hidden_size 3712 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213048,66_0,COMPLETED,BOTORCH_MODULAR,51.520000000000003126388037344441,228.384999999999990905052982270718,20,0.001000000000000000020816681712,820,3712,0,1,80,4
67,1762245688,23,2dea3aba-4ba9-4571-9519-13628c704362,1762245711,1762245935,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 868 --hidden_size 3720 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c135,1213041,67_0,COMPLETED,BOTORCH_MODULAR,52.17999999999999971578290569596,216.455999999999988858689903281629,20,0.001000000000000000020816681712,868,3720,0,1,80,4
68,1762245688,23,2dea3aba-4ba9-4571-9519-13628c704362,1762245711,1762245937,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 878 --hidden_size 3717 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c139,1213040,68_0,COMPLETED,BOTORCH_MODULAR,50.229999999999996873611962655559,218.781000000000005911715561524034,20,0.001000000000000000020816681712,878,3717,0,1,80,4
69,1762245688,3,2dea3aba-4ba9-4571-9519-13628c704362,1762245691,1762245922,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 877 --hidden_size 3711 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c148,1213038,69_0,COMPLETED,BOTORCH_MODULAR,42.75,221.518000000000000682121026329696,20,0.001000000000000000020816681712,877,3711,0,1,80,4
70,1762245689,22,2dea3aba-4ba9-4571-9519-13628c704362,1762245711,1762245929,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 817 --hidden_size 3704 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c134,1213043,70_0,COMPLETED,BOTORCH_MODULAR,51.619999999999997442046151263639,213.776000000000010459189070388675,20,0.001000000000000000020816681712,817,3704,0,1,80,4
71,1762245688,73,2dea3aba-4ba9-4571-9519-13628c704362,1762245761,1762245997,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 849 --hidden_size 3698 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213051,71_0,COMPLETED,BOTORCH_MODULAR,50.340000000000003410605131648481,225.032999999999987039700499735773,20,0.001000000000000000020816681712,849,3698,0,1,80,4
72,1762245688,3,2dea3aba-4ba9-4571-9519-13628c704362,1762245691,1762245909,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 853 --hidden_size 3694 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c140,1213039,72_0,COMPLETED,BOTORCH_MODULAR,51.3999999999999985789145284798,213.294000000000011141310096718371,20,0.001000000000000000020816681712,853,3694,0,1,80,4
73,1762245688,73,2dea3aba-4ba9-4571-9519-13628c704362,1762245761,1762245997,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 852 --hidden_size 3716 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213052,73_0,COMPLETED,BOTORCH_MODULAR,50.990000000000001989519660128281,224.901000000000010459189070388675,20,0.001000000000000000020816681712,852,3716,0,1,80,4
74,1762245688,96,2dea3aba-4ba9-4571-9519-13628c704362,1762245784,1762246020,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 828 --hidden_size 3711 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213055,74_0,COMPLETED,BOTORCH_MODULAR,51.5,226.849999999999994315658113919199,20,0.001000000000000000020816681712,828,3711,0,1,80,4
75,1762245688,63,2dea3aba-4ba9-4571-9519-13628c704362,1762245751,1762245970,219,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 841 --hidden_size 3718 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c132,1213049,75_0,COMPLETED,BOTORCH_MODULAR,51.10999999999999943156581139192,214.163999999999987267074175179005,20,0.001000000000000000020816681712,841,3718,0,1,80,4
76,1762245689,43,2dea3aba-4ba9-4571-9519-13628c704362,1762245732,1762245968,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 866 --hidden_size 3714 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213045,76_0,COMPLETED,BOTORCH_MODULAR,51,227.29599999999999226929503493011,20,0.001000000000000000020816681712,866,3714,0,1,80,4
77,1762245689,72,2dea3aba-4ba9-4571-9519-13628c704362,1762245761,1762245999,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 885 --hidden_size 3718 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213054,77_0,COMPLETED,BOTORCH_MODULAR,51.53000000000000113686837721616,227.633999999999986130205797962844,20,0.001000000000000000020816681712,885,3718,0,1,80,4
78,1762245694,92,2dea3aba-4ba9-4571-9519-13628c704362,1762245786,1762246017,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 812 --hidden_size 3714 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213056,78_0,COMPLETED,BOTORCH_MODULAR,51.82000000000000028421709430404,222.902999999999991587174008600414,20,0.001000000000000000020816681712,812,3714,0,1,80,4
79,1762245699,88,2dea3aba-4ba9-4571-9519-13628c704362,1762245787,1762246018,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 854 --hidden_size 3698 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213057,79_0,COMPLETED,BOTORCH_MODULAR,51.17000000000000170530256582424,223.580999999999988858689903281629,20,0.001000000000000000020816681712,854,3698,0,1,80,4
80,1762246267,37,2dea3aba-4ba9-4571-9519-13628c704362,1762246304,1762246535,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00097991825834468894 --batch_size 601 --hidden_size 1558 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213099,80_0,COMPLETED,BOTORCH_MODULAR,52.6000000000000014210854715202,224.760999999999995679900166578591,20,0.000979918258344688935732036406,601,1558,0,1,80,4
81,1762246268,28,2dea3aba-4ba9-4571-9519-13628c704362,1762246296,1762246521,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00098396552016698636 --batch_size 655 --hidden_size 1564 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c134,1213097,81_0,COMPLETED,BOTORCH_MODULAR,52.990000000000001989519660128281,217.384999999999990905052982270718,20,0.000983965520166986363712058328,655,1564,0,1,80,4
82,1762246267,74,2dea3aba-4ba9-4571-9519-13628c704362,1762246341,1762246578,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00094510273314727614 --batch_size 676 --hidden_size 1553 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213109,82_0,COMPLETED,BOTORCH_MODULAR,53.57999999999999829469743417576,227.413999999999987267074175179005,20,0.000945102733147276143077508692,676,1553,0,1,80,4
83,1762246268,28,2dea3aba-4ba9-4571-9519-13628c704362,1762246296,1762246521,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00071583592643156304 --batch_size 500 --hidden_size 1581 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c134,1213098,83_0,COMPLETED,BOTORCH_MODULAR,53.380000000000002557953848736361,218.889999999999986357579473406076,20,0.000715835926431563035303440312,500,1581,0,2,80,4
84,1762246267,29,2dea3aba-4ba9-4571-9519-13628c704362,1762246296,1762246516,220,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0009485654976454941 --batch_size 649 --hidden_size 1570 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c139,1213094,84_0,COMPLETED,BOTORCH_MODULAR,50.840000000000003410605131648481,216.573000000000007503331289626658,20,0.000948565497645494104007879432,649,1570,0,1,80,4
85,1762246267,29,2dea3aba-4ba9-4571-9519-13628c704362,1762246296,1762246514,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00094862249032131663 --batch_size 610 --hidden_size 1574 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c135,1213095,85_0,COMPLETED,BOTORCH_MODULAR,54.479999999999996873611962655559,215.108000000000004092726157978177,20,0.000948622490321316628320014175,610,1574,0,1,80,4
86,1762246267,12,2dea3aba-4ba9-4571-9519-13628c704362,1762246279,1762246510,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00073506316055913803 --batch_size 416 --hidden_size 1572 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c140,1213093,86_0,COMPLETED,BOTORCH_MODULAR,53.32999999999999829469743417576,225.354000000000013415046851150692,20,0.000735063160559138025970660202,416,1572,0,2,80,4
87,1762246268,34,2dea3aba-4ba9-4571-9519-13628c704362,1762246302,1762246533,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00090897769144453894 --batch_size 637 --hidden_size 1573 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213100,87_0,COMPLETED,BOTORCH_MODULAR,53.310000000000002273736754432321,224.604999999999989768184605054557,20,0.00090897769144453893514629117,637,1573,0,1,80,4
88,1762246267,52,2dea3aba-4ba9-4571-9519-13628c704362,1762246319,1762246544,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00091143010557791844 --batch_size 633 --hidden_size 1565 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c132,1213103,88_0,COMPLETED,BOTORCH_MODULAR,52.799999999999997157829056959599,218.911000000000001364242052659392,20,0.000911430105577918443955642847,633,1565,0,1,80,4
89,1762246267,29,2dea3aba-4ba9-4571-9519-13628c704362,1762246296,1762246521,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00089532918795677031 --batch_size 595 --hidden_size 1577 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c135,1213096,89_0,COMPLETED,BOTORCH_MODULAR,51.35999999999999943156581139192,218.987999999999999545252649113536,20,0.000895329187956770311714038701,595,1577,0,1,80,4
90,1762246267,52,2dea3aba-4ba9-4571-9519-13628c704362,1762246319,1762246544,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00088411042037707594 --batch_size 618 --hidden_size 1579 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c131,1213104,90_0,COMPLETED,BOTORCH_MODULAR,52.03000000000000113686837721616,216.548000000000001818989403545856,20,0.000884110420377075940066846638,618,1579,0,1,80,4
91,1762246268,51,2dea3aba-4ba9-4571-9519-13628c704362,1762246319,1762246543,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00077883610678982198 --batch_size 568 --hidden_size 1579 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c133,1213102,91_0,COMPLETED,BOTORCH_MODULAR,51.1000000000000014210854715202,217.431000000000011596057447604835,20,0.000778836106789821975421306277,568,1579,0,2,80,4
92,1762246267,64,2dea3aba-4ba9-4571-9519-13628c704362,1762246331,1762246575,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 641 --hidden_size 1563 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213105,92_0,COMPLETED,BOTORCH_MODULAR,38.21000000000000085265128291212,233.269000000000005456968210637569,20,0.001000000000000000020816681712,641,1563,0,1,80,4
93,1762246267,65,2dea3aba-4ba9-4571-9519-13628c704362,1762246332,1762246576,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00099501488317328061 --batch_size 630 --hidden_size 1579 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213106,93_0,COMPLETED,BOTORCH_MODULAR,54.340000000000003410605131648481,234.966000000000008185452315956354,20,0.000995014883173280613101741032,630,1579,0,1,80,4
94,1762246267,72,2dea3aba-4ba9-4571-9519-13628c704362,1762246339,1762246576,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00090117339943093387 --batch_size 736 --hidden_size 1564 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c130,1213108,94_0,COMPLETED,BOTORCH_MODULAR,53.009999999999998010480339871719,227.611999999999994770405464805663,20,0.000901173399430933871022408876,736,1564,0,1,80,4
95,1762246267,53,2dea3aba-4ba9-4571-9519-13628c704362,1762246320,1762246539,219,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 658 --hidden_size 1556 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c133,1213101,95_0,COMPLETED,BOTORCH_MODULAR,53.57999999999999829469743417576,215.192000000000007275957614183426,20,0.001000000000000000020816681712,658,1556,0,1,80,4
96,1762246275,76,2dea3aba-4ba9-4571-9519-13628c704362,1762246351,1762246594,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00098597186979427153 --batch_size 674 --hidden_size 1558 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213110,96_0,COMPLETED,BOTORCH_MODULAR,50.1000000000000014210854715202,229.689999999999997726263245567679,20,0.00098597186979427152951627189,674,1558,0,1,80,4
97,1762246280,71,2dea3aba-4ba9-4571-9519-13628c704362,1762246351,1762246594,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00094646807175765863 --batch_size 639 --hidden_size 1577 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213111,97_0,COMPLETED,BOTORCH_MODULAR,53.35999999999999943156581139192,230.669999999999987494447850622237,20,0.00094646807175765863134886402,639,1577,0,1,80,4
98,1762246280,76,2dea3aba-4ba9-4571-9519-13628c704362,1762246356,1762246593,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00098782990519093259 --batch_size 631 --hidden_size 1571 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213112,98_0,COMPLETED,BOTORCH_MODULAR,52.450000000000002842170943040401,226.695999999999997953636921010911,20,0.000987829905190932590353103393,631,1571,0,1,80,4
99,1762246285,76,2dea3aba-4ba9-4571-9519-13628c704362,1762246361,1762246593,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00068039663570184392 --batch_size 577 --hidden_size 1570 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c129,1213113,99_0,COMPLETED,BOTORCH_MODULAR,51.85999999999999943156581139192,225.062999999999988176568876951933,20,0.000680396635701843916811670798,577,1570,0,2,80,4
100,1762247018,7,2dea3aba-4ba9-4571-9519-13628c704362,1762247025,1762247262,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 182 --hidden_size 386 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c151,1213136,100_0,COMPLETED,BOTORCH_MODULAR,20.42999999999999971578290569596,228.163000000000010913936421275139,20,0.001000000000000000020816681712,182,386,0.5,1,4,7
101,1762247018,27,2dea3aba-4ba9-4571-9519-13628c704362,1762247045,1762247296,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 126 --hidden_size 385 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c146,1213138,101_0,COMPLETED,BOTORCH_MODULAR,21,244.979000000000013415046851150692,20,0.001000000000000000020816681712,126,385,0.5,1,4,7
102,1762247018,26,2dea3aba-4ba9-4571-9519-13628c704362,1762247044,1762247307,263,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 94 --hidden_size 386 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c143,1213139,102_0,COMPLETED,BOTORCH_MODULAR,22.6000000000000014210854715202,258.156999999999982264853315427899,20,0.001000000000000000020816681712,94,386,0.5,1,4,7
103,1762247018,8,2dea3aba-4ba9-4571-9519-13628c704362,1762247026,1762247283,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 109 --hidden_size 385 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c151,1213135,103_0,COMPLETED,BOTORCH_MODULAR,22.21999999999999886313162278384,248.456999999999993633537087589502,20,0.001000000000000000020816681712,109,385,0.5,1,4,7
104,1762247019,85,2dea3aba-4ba9-4571-9519-13628c704362,1762247104,1762247335,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 149 --hidden_size 386 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c134,1213151,104_0,COMPLETED,BOTORCH_MODULAR,20.35999999999999943156581139192,225.096000000000003637978807091713,20,0.001000000000000000020816681712,149,386,0.5,1,4,7
105,1762247018,58,2dea3aba-4ba9-4571-9519-13628c704362,1762247076,1762247327,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 107 --hidden_size 385 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c139,1213149,105_0,COMPLETED,BOTORCH_MODULAR,20.69000000000000127897692436818,247.169999999999987494447850622237,20,0.001000000000000000020816681712,107,385,0.5,1,4,7
106,1762247018,7,2dea3aba-4ba9-4571-9519-13628c704362,1762247025,1762247262,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 180 --hidden_size 385 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c148,1213137,106_0,COMPLETED,BOTORCH_MODULAR,21.60999999999999943156581139192,230.368999999999999772626324556768,20,0.001000000000000000020816681712,180,385,0.5,1,4,7
107,1762247018,49,2dea3aba-4ba9-4571-9519-13628c704362,1762247067,1762247311,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 115 --hidden_size 386 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c139,1213144,107_0,COMPLETED,BOTORCH_MODULAR,20.35999999999999943156581139192,239.137000000000000454747350886464,20,0.001000000000000000020816681712,115,386,0.5,1,4,7
108,1762247018,46,2dea3aba-4ba9-4571-9519-13628c704362,1762247064,1762247308,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 98 --hidden_size 385 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c135,1213146,108_0,COMPLETED,BOTORCH_MODULAR,22.17000000000000170530256582424,239.068000000000012050804798491299,20,0.001000000000000000020816681712,98,385,0.5,1,4,7
109,1762247019,49,2dea3aba-4ba9-4571-9519-13628c704362,1762247068,1762247319,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 94 --hidden_size 385 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c139,1213142,109_0,COMPLETED,BOTORCH_MODULAR,21.58999999999999985789145284798,246.811000000000007048583938740194,20,0.001000000000000000020816681712,94,385,0.5,1,4,7
110,1762247019,90,2dea3aba-4ba9-4571-9519-13628c704362,1762247109,1762247352,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 156 --hidden_size 386 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c133,1213153,110_0,COMPLETED,BOTORCH_MODULAR,19.82999999999999829469743417576,231.909999999999996589394868351519,20,0.001000000000000000020816681712,156,386,0.5,1,4,7
111,1762247018,58,2dea3aba-4ba9-4571-9519-13628c704362,1762247076,1762247326,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 114 --hidden_size 386 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c143,1213148,111_0,COMPLETED,BOTORCH_MODULAR,22.9499999999999992894572642399,243.538999999999987267074175179005,20,0.001000000000000000020816681712,114,386,0.5,1,4,7
112,1762247018,46,2dea3aba-4ba9-4571-9519-13628c704362,1762247064,1762247295,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 158 --hidden_size 384 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c137,1213145,112_0,COMPLETED,BOTORCH_MODULAR,22.21999999999999886313162278384,227.497999999999990450305631384254,20,0.001000000000000000020816681712,158,384,0.5,1,4,7
113,1762247018,46,2dea3aba-4ba9-4571-9519-13628c704362,1762247064,1762247309,245,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 122 --hidden_size 386 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c139,1213143,113_0,COMPLETED,BOTORCH_MODULAR,21.8500000000000014210854715202,237.860000000000013642420526593924,20,0.001000000000000000020816681712,122,386,0.5,1,4,7
114,1762247018,91,2dea3aba-4ba9-4571-9519-13628c704362,1762247109,1762247358,249,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 125 --hidden_size 386 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c133,1213152,114_0,COMPLETED,BOTORCH_MODULAR,20.37999999999999900524016993586,240.882000000000005002220859751105,20,0.001000000000000000020816681712,125,386,0.5,1,4,7
115,1762247019,48,2dea3aba-4ba9-4571-9519-13628c704362,1762247067,1762247323,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 149 --hidden_size 1884 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c135,1213147,115_0,COMPLETED,BOTORCH_MODULAR,46.659999999999996589394868351519,249.961000000000012732925824820995,20,0.000100000000000000004792173602,149,1884,0.5,1,80,6
116,1762247019,27,2dea3aba-4ba9-4571-9519-13628c704362,1762247046,1762247296,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 116 --hidden_size 385 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c143,1213140,116_0,COMPLETED,BOTORCH_MODULAR,21.96000000000000085265128291212,244.685000000000002273736754432321,20,0.001000000000000000020816681712,116,385,0.5,1,4,7
117,1762247019,25,2dea3aba-4ba9-4571-9519-13628c704362,1762247044,1762247301,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 128 --hidden_size 1874 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 5,0,,c140,1213141,117_0,COMPLETED,BOTORCH_MODULAR,50.8500000000000014210854715202,250.282000000000010686562745831907,20,0.000100000000000000004792173602,128,1874,0.5,1,80,5
118,1762247019,65,2dea3aba-4ba9-4571-9519-13628c704362,1762247084,1762247334,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 114 --hidden_size 385 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 7,0,,c134,1213150,118_0,COMPLETED,BOTORCH_MODULAR,21.8500000000000014210854715202,240.850999999999999090505298227072,20,0.001000000000000000020816681712,114,385,0.5,1,4,7
119,1762247029,80,2dea3aba-4ba9-4571-9519-13628c704362,1762247109,1762247378,269,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 129 --hidden_size 1884 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 5,0,,c133,1213154,119_0,COMPLETED,BOTORCH_MODULAR,51.17000000000000170530256582424,263.053999999999973624653648585081,20,0.000100000000000000004792173602,129,1884,0.5,1,80,5
120,1762247783,27,2dea3aba-4ba9-4571-9519-13628c704362,1762247810,1762248016,206,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 608 --hidden_size 1604 --dropout 0.5 --num_dense_layers 1 --filter 14 --num_conv_layers 4,0,,c140,1213176,120_0,COMPLETED,BOTORCH_MODULAR,25.78999999999999914734871708788,203.25,20,0.000100000000000000004792173602,608,1604,0.5,1,14,4
121,1762247784,108,2dea3aba-4ba9-4571-9519-13628c704362,1762247892,1762248109,217,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 577 --hidden_size 1600 --dropout 0.5 --num_dense_layers 1 --filter 9 --num_conv_layers 4,0,,c133,1213190,121_0,COMPLETED,BOTORCH_MODULAR,22.78000000000000113686837721616,207.788000000000010913936421275139,20,0.000100000000000000004792173602,577,1600,0.5,1,9,4
122,1762247784,56,2dea3aba-4ba9-4571-9519-13628c704362,1762247840,1762248064,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 612 --hidden_size 1603 --dropout 0.5 --num_dense_layers 1 --filter 15 --num_conv_layers 4,0,,c139,1213179,122_0,COMPLETED,BOTORCH_MODULAR,26.60999999999999943156581139192,211.610000000000013642420526593924,20,0.000100000000000000004792173602,612,1603,0.5,1,15,4
123,1762247784,42,2dea3aba-4ba9-4571-9519-13628c704362,1762247826,1762248051,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 572 --hidden_size 1597 --dropout 0.5 --num_dense_layers 1 --filter 12 --num_conv_layers 4,0,,c140,1213178,123_0,COMPLETED,BOTORCH_MODULAR,24.48999999999999843680598132778,216.782000000000010686562745831907,20,0.000100000000000000004792173602,572,1597,0.5,1,12,4
124,1762247784,23,2dea3aba-4ba9-4571-9519-13628c704362,1762247807,1762248039,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 634 --hidden_size 1609 --dropout 0.5 --num_dense_layers 1 --filter 9 --num_conv_layers 4,0,,c141,1213175,124_0,COMPLETED,BOTORCH_MODULAR,21.07999999999999829469743417576,223.318000000000012050804798491299,20,0.000100000000000000004792173602,634,1609,0.5,1,9,4
125,1762247783,4,2dea3aba-4ba9-4571-9519-13628c704362,1762247787,1762247998,211,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 617 --hidden_size 1618 --dropout 0.5 --num_dense_layers 1 --filter 8 --num_conv_layers 4,0,,c143,1213172,125_0,COMPLETED,BOTORCH_MODULAR,20.60999999999999943156581139192,202.921999999999997044142219237983,20,0.000100000000000000004792173602,617,1618,0.5,1,8,4
126,1762247784,63,2dea3aba-4ba9-4571-9519-13628c704362,1762247847,1762248046,199,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 617 --hidden_size 1602 --dropout 0.5 --num_dense_layers 1 --filter 7 --num_conv_layers 4,0,,c135,1213185,126_0,COMPLETED,BOTORCH_MODULAR,19.32999999999999829469743417576,194.995000000000004547473508864641,20,0.000100000000000000004792173602,617,1602,0.5,1,7,4
127,1762247784,23,2dea3aba-4ba9-4571-9519-13628c704362,1762247807,1762248019,212,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 617 --hidden_size 1598 --dropout 0.5 --num_dense_layers 1 --filter 14 --num_conv_layers 4,0,,c140,1213177,127_0,COMPLETED,BOTORCH_MODULAR,26.42999999999999971578290569596,206.379999999999995452526491135359,20,0.000100000000000000004792173602,617,1598,0.5,1,14,4
128,1762247784,4,2dea3aba-4ba9-4571-9519-13628c704362,1762247788,1762247994,206,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 590 --hidden_size 1608 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 4,0,,c143,1213174,128_0,COMPLETED,BOTORCH_MODULAR,15.13000000000000078159700933611,198.770000000000010231815394945443,20,0.000100000000000000004792173602,590,1608,0.5,1,4,4
129,1762247784,63,2dea3aba-4ba9-4571-9519-13628c704362,1762247847,1762248059,212,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 593 --hidden_size 1600 --dropout 0.5 --num_dense_layers 1 --filter 10 --num_conv_layers 4,0,,c139,1213181,129_0,COMPLETED,BOTORCH_MODULAR,23.58999999999999985789145284798,207.087999999999993860910763032734,20,0.000100000000000000004792173602,593,1600,0.5,1,10,4
130,1762247784,8,2dea3aba-4ba9-4571-9519-13628c704362,1762247792,1762248004,212,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 585 --hidden_size 1615 --dropout 0.5 --num_dense_layers 1 --filter 16 --num_conv_layers 4,0,,c143,1213173,130_0,COMPLETED,BOTORCH_MODULAR,27.57999999999999829469743417576,204.223999999999989540810929611325,20,0.000100000000000000004792173602,585,1615,0.5,1,16,4
131,1762247785,62,2dea3aba-4ba9-4571-9519-13628c704362,1762247847,1762248053,206,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 603 --hidden_size 1626 --dropout 0.5 --num_dense_layers 1 --filter 10 --num_conv_layers 4,0,,c137,1213184,131_0,COMPLETED,BOTORCH_MODULAR,21.85999999999999943156581139192,198.638000000000005229594535194337,20,0.000100000000000000004792173602,603,1626,0.5,1,10,4
132,1762247784,63,2dea3aba-4ba9-4571-9519-13628c704362,1762247847,1762248059,212,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 578 --hidden_size 1599 --dropout 0.5 --num_dense_layers 1 --filter 11 --num_conv_layers 4,0,,c139,1213182,132_0,COMPLETED,BOTORCH_MODULAR,24.51999999999999957367435854394,205.647999999999996134647517465055,20,0.000100000000000000004792173602,578,1599,0.5,1,11,4
133,1762247784,63,2dea3aba-4ba9-4571-9519-13628c704362,1762247847,1762248072,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 532 --hidden_size 1593 --dropout 0.5 --num_dense_layers 1 --filter 10 --num_conv_layers 4,0,,c138,1213183,133_0,COMPLETED,BOTORCH_MODULAR,23.91000000000000014210854715202,216.467000000000012960299500264227,20,0.000100000000000000004792173602,532,1593,0.5,1,10,4
134,1762247784,108,2dea3aba-4ba9-4571-9519-13628c704362,1762247892,1762248109,217,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 594 --hidden_size 1605 --dropout 0.5 --num_dense_layers 1 --filter 11 --num_conv_layers 4,0,,c133,1213189,134_0,COMPLETED,BOTORCH_MODULAR,24.03999999999999914734871708788,208.974999999999994315658113919199,20,0.000100000000000000004792173602,594,1605,0.5,1,11,4
135,1762247784,83,2dea3aba-4ba9-4571-9519-13628c704362,1762247867,1762248072,205,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 572 --hidden_size 1599 --dropout 0.5 --num_dense_layers 1 --filter 11 --num_conv_layers 4,0,,c134,1213188,135_0,COMPLETED,BOTORCH_MODULAR,25.33999999999999985789145284798,201.602000000000003865352482534945,20,0.000100000000000000004792173602,572,1599,0.5,1,11,4
136,1762247785,62,2dea3aba-4ba9-4571-9519-13628c704362,1762247847,1762248059,212,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 555 --hidden_size 1615 --dropout 0.5 --num_dense_layers 1 --filter 9 --num_conv_layers 4,0,,c139,1213180,136_0,COMPLETED,BOTORCH_MODULAR,22.96000000000000085265128291212,201.067000000000007275957614183426,20,0.000100000000000000004792173602,555,1615,0.5,1,9,4
137,1762247785,72,2dea3aba-4ba9-4571-9519-13628c704362,1762247857,1762248061,204,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 578 --hidden_size 1618 --dropout 0.5 --num_dense_layers 1 --filter 10 --num_conv_layers 4,0,,c134,1213187,137_0,COMPLETED,BOTORCH_MODULAR,23.46000000000000085265128291212,200.507000000000005002220859751105,20,0.000100000000000000004792173602,578,1618,0.5,1,10,4
138,1762247786,61,2dea3aba-4ba9-4571-9519-13628c704362,1762247847,1762248052,205,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 578 --hidden_size 1592 --dropout 0.5 --num_dense_layers 1 --filter 6 --num_conv_layers 4,0,,c135,1213186,138_0,COMPLETED,BOTORCH_MODULAR,16.78000000000000113686837721616,201.889000000000010004441719502211,20,0.000100000000000000004792173602,578,1592,0.5,1,6,4
139,1762247795,97,2dea3aba-4ba9-4571-9519-13628c704362,1762247892,1762248109,217,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 586 --hidden_size 1605 --dropout 0.5 --num_dense_layers 1 --filter 17 --num_conv_layers 4,0,,c133,1213191,139_0,COMPLETED,BOTORCH_MODULAR,27.87999999999999900524016993586,211.159999999999996589394868351519,20,0.000100000000000000004792173602,586,1605,0.5,1,17,4
140,1762248652,38,2dea3aba-4ba9-4571-9519-13628c704362,1762248690,1762248914,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 925 --hidden_size 4096 --dropout 0 --num_dense_layers 2 --filter 42 --num_conv_layers 7,0,,c140,1213233,140_0,COMPLETED,BOTORCH_MODULAR,37.380000000000002557953848736361,219.918000000000006366462912410498,20,0.000100000000000000004792173602,925,4096,0,2,42,7
141,1762248653,13,2dea3aba-4ba9-4571-9519-13628c704362,1762248666,1762248904,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 692 --hidden_size 1943 --dropout 0 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c141,1213232,141_0,COMPLETED,BOTORCH_MODULAR,43.049999999999997157829056959599,228.966000000000008185452315956354,20,0.000100000000000000004792173602,692,1943,0,2,55,4
142,1762248652,16,2dea3aba-4ba9-4571-9519-13628c704362,1762248668,1762248898,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 716 --hidden_size 1939 --dropout 0 --num_dense_layers 2 --filter 54 --num_conv_layers 4,0,,c143,1213230,142_0,COMPLETED,BOTORCH_MODULAR,43.96000000000000085265128291212,220.633999999999986130205797962844,20,0.000100000000000000004792173602,716,1939,0,2,54,4
143,1762248652,15,2dea3aba-4ba9-4571-9519-13628c704362,1762248667,1762248898,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 664 --hidden_size 1912 --dropout 0 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c153,1213227,143_0,COMPLETED,BOTORCH_MODULAR,44.740000000000001989519660128281,225.061000000000007048583938740194,20,0.000100000000000000004792173602,664,1912,0,2,55,4
144,1762248652,17,2dea3aba-4ba9-4571-9519-13628c704362,1762248669,1762248900,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 681 --hidden_size 1919 --dropout 0 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c143,1213228,144_0,COMPLETED,BOTORCH_MODULAR,44.46000000000000085265128291212,216.989000000000004320099833421409,20,0.000100000000000000004792173602,681,1919,0,2,55,4
145,1762248652,17,2dea3aba-4ba9-4571-9519-13628c704362,1762248669,1762248899,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 670 --hidden_size 1910 --dropout 0 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c143,1213231,145_0,COMPLETED,BOTORCH_MODULAR,43.78000000000000113686837721616,220.106999999999999317878973670304,20,0.000100000000000000004792173602,670,1910,0,2,55,4
146,1762248652,17,2dea3aba-4ba9-4571-9519-13628c704362,1762248669,1762248899,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 637 --hidden_size 1900 --dropout 0 --num_dense_layers 2 --filter 56 --num_conv_layers 4,0,,c143,1213229,146_0,COMPLETED,BOTORCH_MODULAR,44.17999999999999971578290569596,221.520999999999986584953148849308,20,0.000100000000000000004792173602,637,1900,0,2,56,4
147,1762248653,42,2dea3aba-4ba9-4571-9519-13628c704362,1762248695,1762248939,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 676 --hidden_size 1941 --dropout 0 --num_dense_layers 2 --filter 54 --num_conv_layers 4,0,,c140,1213235,147_0,COMPLETED,BOTORCH_MODULAR,43.020000000000003126388037344441,236.102000000000003865352482534945,20,0.000100000000000000004792173602,676,1941,0,2,54,4
148,1762248653,57,2dea3aba-4ba9-4571-9519-13628c704362,1762248710,1762248942,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 444 --hidden_size 1344 --dropout 0.5 --num_dense_layers 1 --filter 64 --num_conv_layers 4,0,,c138,1213240,148_0,COMPLETED,BOTORCH_MODULAR,40.17999999999999971578290569596,224.710000000000007958078640513122,20,0.000100000000000000004792173602,444,1344,0.5,1,64,4
149,1762248653,97,2dea3aba-4ba9-4571-9519-13628c704362,1762248750,1762248974,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 674 --hidden_size 1965 --dropout 0 --num_dense_layers 2 --filter 53 --num_conv_layers 4,0,,c135,1213245,149_0,COMPLETED,BOTORCH_MODULAR,43.189999999999997726263245567679,218.448000000000007503331289626658,20,0.000100000000000000004792173602,674,1965,0,2,53,4
150,1762248653,73,2dea3aba-4ba9-4571-9519-13628c704362,1762248726,1762248944,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 725 --hidden_size 1919 --dropout 0 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c137,1213243,150_0,COMPLETED,BOTORCH_MODULAR,43.450000000000002842170943040401,212.716000000000008185452315956354,20,0.000100000000000000004792173602,725,1919,0,2,55,4
151,1762248653,73,2dea3aba-4ba9-4571-9519-13628c704362,1762248726,1762248944,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 844 --hidden_size 1941 --dropout 0 --num_dense_layers 1 --filter 55 --num_conv_layers 4,0,,c135,1213244,151_0,COMPLETED,BOTORCH_MODULAR,41.14000000000000056843418860808,211.602000000000003865352482534945,20,0.000100000000000000004792173602,844,1941,0,1,55,4
152,1762248653,50,2dea3aba-4ba9-4571-9519-13628c704362,1762248703,1762248934,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 702 --hidden_size 1910 --dropout 0 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c139,1213237,152_0,COMPLETED,BOTORCH_MODULAR,43.380000000000002557953848736361,226.193999999999988403942552395165,20,0.000100000000000000004792173602,702,1910,0,2,55,4
153,1762248653,57,2dea3aba-4ba9-4571-9519-13628c704362,1762248710,1762248934,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 580 --hidden_size 1915 --dropout 0 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c137,1213241,153_0,COMPLETED,BOTORCH_MODULAR,44.549999999999997157829056959599,218.888000000000005229594535194337,20,0.000100000000000000004792173602,580,1915,0,2,55,4
154,1762248653,74,2dea3aba-4ba9-4571-9519-13628c704362,1762248727,1762248951,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 719 --hidden_size 1979 --dropout 0 --num_dense_layers 2 --filter 54 --num_conv_layers 4,0,,c151,1213242,154_0,COMPLETED,BOTORCH_MODULAR,43.42999999999999971578290569596,219.278999999999996362021192908287,20,0.000100000000000000004792173602,719,1979,0,2,54,4
155,1762248653,37,2dea3aba-4ba9-4571-9519-13628c704362,1762248690,1762248914,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 743 --hidden_size 1948 --dropout 0 --num_dense_layers 2 --filter 54 --num_conv_layers 4,0,,c140,1213234,155_0,COMPLETED,BOTORCH_MODULAR,43.46999999999999886313162278384,214.677999999999997271515894681215,20,0.000100000000000000004792173602,743,1948,0,2,54,4
156,1762248654,47,2dea3aba-4ba9-4571-9519-13628c704362,1762248701,1762248932,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 672 --hidden_size 1928 --dropout 0 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c139,1213236,156_0,COMPLETED,BOTORCH_MODULAR,44.03999999999999914734871708788,225.460000000000007958078640513122,20,0.000100000000000000004792173602,672,1928,0,2,55,4
157,1762248654,47,2dea3aba-4ba9-4571-9519-13628c704362,1762248701,1762248932,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 746 --hidden_size 1957 --dropout 0 --num_dense_layers 2 --filter 53 --num_conv_layers 4,0,,c139,1213238,157_0,COMPLETED,BOTORCH_MODULAR,40.630000000000002557953848736361,223.001000000000004774847184307873,20,0.000100000000000000004792173602,746,1957,0,2,53,4
158,1762248654,47,2dea3aba-4ba9-4571-9519-13628c704362,1762248701,1762248932,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 751 --hidden_size 1995 --dropout 0 --num_dense_layers 2 --filter 53 --num_conv_layers 4,0,,c139,1213239,158_0,COMPLETED,BOTORCH_MODULAR,43.619999999999997442046151263639,220.713999999999998635757947340608,20,0.000100000000000000004792173602,751,1995,0,2,53,4
159,1762248659,91,2dea3aba-4ba9-4571-9519-13628c704362,1762248750,1762248968,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 649 --hidden_size 1986 --dropout 0 --num_dense_layers 2 --filter 53 --num_conv_layers 4,0,,c134,1213246,159_0,COMPLETED,BOTORCH_MODULAR,42.479999999999996873611962655559,212.796999999999997044142219237983,20,0.000100000000000000004792173602,649,1986,0,2,53,4
160,1762249630,26,2dea3aba-4ba9-4571-9519-13628c704362,1762249656,1762249912,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 222 --hidden_size 1787 --dropout 0.5 --num_dense_layers 2 --filter 61 --num_conv_layers 5,0,,c133,1213289,160_0,COMPLETED,BOTORCH_MODULAR,52.979999999999996873611962655559,247.330000000000012505552149377763,20,0.001000000000000000020816681712,222,1787,0.5,2,61,5
161,1762249629,33,2dea3aba-4ba9-4571-9519-13628c704362,1762249662,1762249912,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 249 --hidden_size 1801 --dropout 0.5 --num_dense_layers 2 --filter 66 --num_conv_layers 4,0,,c139,1213282,161_0,COMPLETED,BOTORCH_MODULAR,49.42999999999999971578290569596,244.616000000000013869794202037156,20,0.001000000000000000020816681712,249,1801,0.5,2,66,4
162,1762249629,33,2dea3aba-4ba9-4571-9519-13628c704362,1762249662,1762249899,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 357 --hidden_size 1809 --dropout 0.5 --num_dense_layers 2 --filter 64 --num_conv_layers 4,0,,c139,1213281,162_0,COMPLETED,BOTORCH_MODULAR,43.700000000000002842170943040401,231.150000000000005684341886080801,20,0.001000000000000000020816681712,357,1809,0.5,2,64,4
163,1762249629,23,2dea3aba-4ba9-4571-9519-13628c704362,1762249652,1762249909,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 522 --hidden_size 941 --dropout 0.32087177955421569697 --num_dense_layers 1 --filter 74 --num_conv_layers 7,0,,c140,1213280,163_0,COMPLETED,BOTORCH_MODULAR,54.799999999999997157829056959599,249.467999999999989313437254168093,20,0.001000000000000000020816681712,522,941,0.320871779554215696972363502937,1,74,7
164,1762249630,26,2dea3aba-4ba9-4571-9519-13628c704362,1762249656,1762249892,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 363 --hidden_size 1770 --dropout 0.5 --num_dense_layers 2 --filter 59 --num_conv_layers 5,0,,c133,1213288,164_0,COMPLETED,BOTORCH_MODULAR,51.39000000000000056843418860808,230.573000000000007503331289626658,20,0.001000000000000000020816681712,363,1770,0.5,2,59,5
165,1762249630,56,2dea3aba-4ba9-4571-9519-13628c704362,1762249686,1762249924,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 541 --hidden_size 1663 --dropout 0.5 --num_dense_layers 2 --filter 59 --num_conv_layers 6,0,,c130,1213293,165_0,COMPLETED,BOTORCH_MODULAR,47.479999999999996873611962655559,230.143000000000000682121026329696,20,0.001000000000000000020816681712,541,1663,0.5,2,59,6
166,1762249630,26,2dea3aba-4ba9-4571-9519-13628c704362,1762249656,1762249880,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0008042134353400442 --batch_size 640 --hidden_size 1539 --dropout 0.23045065676445899983 --num_dense_layers 1 --filter 56 --num_conv_layers 7,0,,c133,1213286,166_0,COMPLETED,BOTORCH_MODULAR,52.450000000000002842170943040401,220.573000000000007503331289626658,20,0.00080421343534004419845162559,640,1539,0.230450656764458999825606611012,1,56,7
167,1762249630,32,2dea3aba-4ba9-4571-9519-13628c704362,1762249662,1762249906,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 295 --hidden_size 1768 --dropout 0.5 --num_dense_layers 2 --filter 59 --num_conv_layers 5,0,,c139,1213284,167_0,COMPLETED,BOTORCH_MODULAR,52.46000000000000085265128291212,237.104999999999989768184605054557,20,0.001000000000000000020816681712,295,1768,0.5,2,59,5
168,1762249630,34,2dea3aba-4ba9-4571-9519-13628c704362,1762249664,1762249902,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067488238944680642 --batch_size 987 --hidden_size 1485 --dropout 0 --num_dense_layers 1 --filter 57 --num_conv_layers 7,0,,c139,1213283,168_0,COMPLETED,BOTORCH_MODULAR,48.979999999999996873611962655559,226.688999999999992951416061259806,20,0.000674882389446806421791358321,987,1485,0,1,57,7
169,1762249630,26,2dea3aba-4ba9-4571-9519-13628c704362,1762249656,1762249880,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 509 --hidden_size 3892 --dropout 0.5 --num_dense_layers 2 --filter 4 --num_conv_layers 4,0,,c133,1213287,169_0,COMPLETED,BOTORCH_MODULAR,28.17000000000000170530256582424,214.745000000000004547473508864641,20,0.001000000000000000020816681712,509,3892,0.5,2,4,4
170,1762249630,57,2dea3aba-4ba9-4571-9519-13628c704362,1762249687,1762249923,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 564 --hidden_size 3603 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c130,1213295,170_0,COMPLETED,BOTORCH_MODULAR,44.82000000000000028421709430404,227.681000000000011596057447604835,20,0.000100000000000000004792173602,564,3603,0,1,80,7
171,1762249630,42,2dea3aba-4ba9-4571-9519-13628c704362,1762249672,1762249890,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 487 --hidden_size 1775 --dropout 0.5 --num_dense_layers 2 --filter 60 --num_conv_layers 5,0,,c132,1213290,171_0,COMPLETED,BOTORCH_MODULAR,50.020000000000003126388037344441,214.784999999999996589394868351519,20,0.001000000000000000020816681712,487,1775,0.5,2,60,5
172,1762249631,55,2dea3aba-4ba9-4571-9519-13628c704362,1762249686,1762249930,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 303 --hidden_size 1766 --dropout 0.5 --num_dense_layers 2 --filter 62 --num_conv_layers 5,0,,c130,1213294,172_0,COMPLETED,BOTORCH_MODULAR,46.82999999999999829469743417576,237.557999999999992724042385816574,20,0.001000000000000000020816681712,303,1766,0.5,2,62,5
173,1762249630,21,2dea3aba-4ba9-4571-9519-13628c704362,1762249651,1762249876,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00069876530894369729 --batch_size 572 --hidden_size 1502 --dropout 0.04580506798993950329 --num_dense_layers 1 --filter 58 --num_conv_layers 7,0,,c134,1213285,173_0,COMPLETED,BOTORCH_MODULAR,51.770000000000003126388037344441,216.804000000000002046363078989089,20,0.000698765308943697293839192319,572,1502,0.045805067989939503292351474784,1,58,7
174,1762249630,41,2dea3aba-4ba9-4571-9519-13628c704362,1762249671,1762249903,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 298 --hidden_size 1808 --dropout 0.5 --num_dense_layers 2 --filter 65 --num_conv_layers 4,0,,c131,1213291,174_0,COMPLETED,BOTORCH_MODULAR,47.07999999999999829469743417576,226.225999999999999090505298227072,20,0.001000000000000000020816681712,298,1808,0.5,2,65,4
175,1762249630,55,2dea3aba-4ba9-4571-9519-13628c704362,1762249685,1762249928,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00076760583424688976 --batch_size 618 --hidden_size 1545 --dropout 0.14009588077597528999 --num_dense_layers 1 --filter 57 --num_conv_layers 7,0,,c130,1213292,175_0,COMPLETED,BOTORCH_MODULAR,51.799999999999997157829056959599,229.270000000000010231815394945443,20,0.000767605834246889756795895199,618,1545,0.140095880775975289989077054997,1,57,7
176,1762249631,73,2dea3aba-4ba9-4571-9519-13628c704362,1762249704,1762249960,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 174 --hidden_size 3627 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1213296,176_0,COMPLETED,BOTORCH_MODULAR,51.75,250.518000000000000682121026329696,20,0.000100000000000000004792173602,174,3627,0,1,80,4
177,1762249631,80,2dea3aba-4ba9-4571-9519-13628c704362,1762249711,1762249962,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 148 --hidden_size 1814 --dropout 0.5 --num_dense_layers 2 --filter 60 --num_conv_layers 5,0,,c137,1213297,177_0,COMPLETED,BOTORCH_MODULAR,53.880000000000002557953848736361,244.215000000000003410605131648481,20,0.001000000000000000020816681712,148,1814,0.5,2,60,5
178,1762249632,79,2dea3aba-4ba9-4571-9519-13628c704362,1762249711,1762249949,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 271 --hidden_size 1801 --dropout 0.5 --num_dense_layers 2 --filter 61 --num_conv_layers 5,0,,c129,1213298,178_0,COMPLETED,BOTORCH_MODULAR,51.10999999999999943156581139192,228.736999999999994770405464805663,20,0.001000000000000000020816681712,271,1801,0.5,2,61,5
179,1762249636,75,2dea3aba-4ba9-4571-9519-13628c704362,1762249711,1762249968,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 148 --hidden_size 1814 --dropout 0.5 --num_dense_layers 2 --filter 65 --num_conv_layers 4,0,,c129,1213299,179_0,COMPLETED,BOTORCH_MODULAR,51.630000000000002557953848736361,252.953000000000002955857780762017,20,0.001000000000000000020816681712,148,1814,0.5,2,65,4
180,1762250716,806,2dea3aba-4ba9-4571-9519-13628c704362,1762251522,1762251787,265,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 216 --hidden_size 2297 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c149,1213686,180_0,COMPLETED,BOTORCH_MODULAR,54.729999999999996873611962655559,258.391999999999995907273842021823,20,0.001000000000000000020816681712,216,2297,0,2,80,6
181,1762250715,806,2dea3aba-4ba9-4571-9519-13628c704362,1762251521,1762251767,246,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 254 --hidden_size 2306 --dropout 0 --num_dense_layers 2 --filter 77 --num_conv_layers 6,0,,c82,1213688,181_0,COMPLETED,BOTORCH_MODULAR,53.42000000000000170530256582424,239.937999999999988176568876951933,20,0.001000000000000000020816681712,254,2306,0,2,77,6
182,1762250715,716,2dea3aba-4ba9-4571-9519-13628c704362,1762251431,1762251676,245,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 242 --hidden_size 2294 --dropout 0 --num_dense_layers 2 --filter 74 --num_conv_layers 6,0,,c133,1213677,182_0,COMPLETED,BOTORCH_MODULAR,53.17999999999999971578290569596,237.596000000000003637978807091713,20,0.001000000000000000020816681712,242,2294,0,2,74,6
183,1762250715,34,2dea3aba-4ba9-4571-9519-13628c704362,1762250749,1762251004,255,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 363 --hidden_size 2286 --dropout 0 --num_dense_layers 2 --filter 75 --num_conv_layers 6,0,,c32,1213676,183_0,COMPLETED,BOTORCH_MODULAR,53.369999999999997442046151263639,240.782000000000010686562745831907,20,0.001000000000000000020816681712,363,2286,0,2,75,6
184,1762250715,751,2dea3aba-4ba9-4571-9519-13628c704362,1762251466,1762251724,258,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 294 --hidden_size 2286 --dropout 0 --num_dense_layers 2 --filter 78 --num_conv_layers 6,0,,c82,1213682,184_0,COMPLETED,BOTORCH_MODULAR,53.14000000000000056843418860808,249.050000000000011368683772161603,20,0.001000000000000000020816681712,294,2286,0,2,78,6
185,1762250716,750,2dea3aba-4ba9-4571-9519-13628c704362,1762251466,1762251743,277,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 145 --hidden_size 2227 --dropout 0 --num_dense_layers 2 --filter 68 --num_conv_layers 7,0,,c128,1213680,185_0,COMPLETED,BOTORCH_MODULAR,51.92999999999999971578290569596,267.387000000000000454747350886464,20,0.001000000000000000020816681712,145,2227,0,2,68,7
186,1762250715,722,2dea3aba-4ba9-4571-9519-13628c704362,1762251437,1762251694,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 323 --hidden_size 2302 --dropout 0.0661279936425417797 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c113,1213678,186_0,COMPLETED,BOTORCH_MODULAR,51.03000000000000113686837721616,245.848000000000013187673175707459,20,0.001000000000000000020816681712,323,2302,0.066127993642541779695243064907,2,80,5
187,1762250715,842,2dea3aba-4ba9-4571-9519-13628c704362,1762251557,1762251807,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 421 --hidden_size 2295 --dropout 0 --num_dense_layers 2 --filter 78 --num_conv_layers 5,0,,c29,1213692,187_0,COMPLETED,BOTORCH_MODULAR,52.229999999999996873611962655559,239.425000000000011368683772161603,20,0.001000000000000000020816681712,421,2295,0,2,78,5
188,1762250715,782,2dea3aba-4ba9-4571-9519-13628c704362,1762251497,1762251748,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 303 --hidden_size 2289 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c46,1213685,188_0,COMPLETED,BOTORCH_MODULAR,51.259999999999998010480339871719,245.596000000000003637978807091713,20,0.001000000000000000020816681712,303,2289,0,2,80,5
189,1762250715,752,2dea3aba-4ba9-4571-9519-13628c704362,1762251467,1762251756,289,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 128 --hidden_size 2241 --dropout 0 --num_dense_layers 2 --filter 71 --num_conv_layers 7,0,,c42,1213683,189_0,COMPLETED,BOTORCH_MODULAR,51.049999999999997157829056959599,278.153000000000020008883439004421,20,0.001000000000000000020816681712,128,2241,0,2,71,7
190,1762250716,841,2dea3aba-4ba9-4571-9519-13628c704362,1762251557,1762251800,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 469 --hidden_size 2318 --dropout 0 --num_dense_layers 2 --filter 77 --num_conv_layers 5,0,,c112,1213690,190_0,COMPLETED,BOTORCH_MODULAR,54.21999999999999886313162278384,234.909999999999996589394868351519,20,0.001000000000000000020816681712,469,2318,0,2,77,5
191,1762250715,752,2dea3aba-4ba9-4571-9519-13628c704362,1762251467,1762251719,252,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 255 --hidden_size 2292 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c110,1213681,191_0,COMPLETED,BOTORCH_MODULAR,53.299999999999997157829056959599,245.592000000000012960299500264227,20,0.001000000000000000020816681712,255,2292,0,2,80,5
192,1762250716,835,2dea3aba-4ba9-4571-9519-13628c704362,1762251551,1762251789,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 328 --hidden_size 2302 --dropout 0 --num_dense_layers 2 --filter 78 --num_conv_layers 5,0,,c130,1213689,192_0,COMPLETED,BOTORCH_MODULAR,54.1000000000000014210854715202,233.01599999999999113242665771395,20,0.001000000000000000020816681712,328,2302,0,2,78,5
193,1762250716,841,2dea3aba-4ba9-4571-9519-13628c704362,1762251557,1762251806,249,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 397 --hidden_size 2295 --dropout 0 --num_dense_layers 2 --filter 76 --num_conv_layers 6,0,,c47,1213691,193_0,COMPLETED,BOTORCH_MODULAR,51.729999999999996873611962655559,237.586000000000012732925824820995,20,0.001000000000000000020816681712,397,2295,0,2,76,6
194,1762250716,806,2dea3aba-4ba9-4571-9519-13628c704362,1762251522,1762251759,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 373 --hidden_size 2320 --dropout 0 --num_dense_layers 2 --filter 79 --num_conv_layers 4,0,,c130,1213687,194_0,COMPLETED,BOTORCH_MODULAR,50.950000000000002842170943040401,231.205000000000012505552149377763,20,0.001000000000000000020816681712,373,2320,0,2,79,4
195,1762250716,781,2dea3aba-4ba9-4571-9519-13628c704362,1762251497,1762251761,264,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 188 --hidden_size 2201 --dropout 0 --num_dense_layers 2 --filter 63 --num_conv_layers 7,0,,c119,1213684,195_0,COMPLETED,BOTORCH_MODULAR,51.8500000000000014210854715202,253.381000000000000227373675443232,20,0.001000000000000000020816681712,188,2201,0,2,63,7
196,1762250721,861,2dea3aba-4ba9-4571-9519-13628c704362,1762251582,1762251814,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 348 --hidden_size 2300 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c112,1213694,196_0,COMPLETED,BOTORCH_MODULAR,53.71000000000000085265128291212,227.569999999999993178789736703038,20,0.001000000000000000020816681712,348,2300,0,2,80,5
197,1762250722,902,2dea3aba-4ba9-4571-9519-13628c704362,1762251624,1762251887,263,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 266 --hidden_size 2286 --dropout 0 --num_dense_layers 2 --filter 74 --num_conv_layers 6,0,,c88,1213695,197_0,COMPLETED,BOTORCH_MODULAR,54.689999999999997726263245567679,248.737999999999999545252649113536,20,0.001000000000000000020816681712,266,2286,0,2,74,6
198,1762250726,899,2dea3aba-4ba9-4571-9519-13628c704362,1762251625,1762251880,255,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 308 --hidden_size 2311 --dropout 0 --num_dense_layers 2 --filter 76 --num_conv_layers 5,0,,c6,1213697,198_0,COMPLETED,BOTORCH_MODULAR,52.42999999999999971578290569596,242.179000000000002046363078989089,20,0.001000000000000000020816681712,308,2311,0,2,76,5
199,1762250726,898,2dea3aba-4ba9-4571-9519-13628c704362,1762251624,1762251881,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 332 --hidden_size 2309 --dropout 0 --num_dense_layers 2 --filter 77 --num_conv_layers 5,0,,c31,1213696,199_0,COMPLETED,BOTORCH_MODULAR,53.200000000000002842170943040401,245.681999999999987949195201508701,20,0.001000000000000000020816681712,332,2309,0,2,77,5
200,1762252636,147,2dea3aba-4ba9-4571-9519-13628c704362,1762252783,1762252990,207,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 639 --hidden_size 1080 --dropout 0 --num_dense_layers 2 --filter 10 --num_conv_layers 7,0,,c128,1214325,200_0,COMPLETED,BOTORCH_MODULAR,32.020000000000003126388037344441,203.145999999999986584953148849308,20,0.001000000000000000020816681712,639,1080,0,2,10,7
201,1762252636,87,2dea3aba-4ba9-4571-9519-13628c704362,1762252723,1762252937,214,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 634 --hidden_size 1082 --dropout 0 --num_dense_layers 2 --filter 11 --num_conv_layers 7,0,,c139,1214319,201_0,COMPLETED,BOTORCH_MODULAR,33.6000000000000014210854715202,205.676999999999992496668710373342,20,0.001000000000000000020816681712,634,1082,0,2,11,7
202,1762252636,147,2dea3aba-4ba9-4571-9519-13628c704362,1762252783,1762252996,213,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 697 --hidden_size 2928 --dropout 0 --num_dense_layers 2 --filter 4 --num_conv_layers 7,0,,c80,1214326,202_0,COMPLETED,BOTORCH_MODULAR,22.21000000000000085265128291212,205.764999999999986357579473406076,20,0.001000000000000000020816681712,697,2928,0,2,4,7
203,1762252635,58,2dea3aba-4ba9-4571-9519-13628c704362,1762252693,1762252901,208,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 698 --hidden_size 2927 --dropout 0 --num_dense_layers 2 --filter 4 --num_conv_layers 7,0,,c129,1214311,203_0,COMPLETED,BOTORCH_MODULAR,21.96000000000000085265128291212,204.447000000000002728484105318785,20,0.001000000000000000020816681712,698,2927,0,2,4,7
204,1762252635,58,2dea3aba-4ba9-4571-9519-13628c704362,1762252693,1762252901,208,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 648 --hidden_size 1090 --dropout 0 --num_dense_layers 2 --filter 10 --num_conv_layers 7,0,,c122,1214314,204_0,COMPLETED,BOTORCH_MODULAR,31.0500000000000007105427357601,204.276000000000010459189070388675,20,0.001000000000000000020816681712,648,1090,0,2,10,7
205,1762252635,69,2dea3aba-4ba9-4571-9519-13628c704362,1762252704,1762252930,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 641 --hidden_size 1079 --dropout 0 --num_dense_layers 2 --filter 7 --num_conv_layers 7,0,,c125,1214312,205_0,COMPLETED,BOTORCH_MODULAR,23.05999999999999872102307563182,214.317000000000007275957614183426,20,0.001000000000000000020816681712,641,1079,0,2,7,7
206,,,,,,,,,,,,206_0,RUNNING,BOTORCH_MODULAR,,,20,0.001000000000000000020816681712,635,1078,0,2,4,7
207,1762252635,64,2dea3aba-4ba9-4571-9519-13628c704362,1762252699,1762252919,220,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 638 --hidden_size 1072 --dropout 0 --num_dense_layers 2 --filter 5 --num_conv_layers 7,0,,c69,1214316,207_0,COMPLETED,BOTORCH_MODULAR,25.0500000000000007105427357601,212.900000000000005684341886080801,20,0.001000000000000000020816681712,638,1072,0,2,5,7
208,1762252636,130,2dea3aba-4ba9-4571-9519-13628c704362,1762252766,1762252996,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 667 --hidden_size 1086 --dropout 0 --num_dense_layers 2 --filter 12 --num_conv_layers 7,0,,c34,1214324,208_0,COMPLETED,BOTORCH_MODULAR,33.53999999999999914734871708788,217.462999999999993860910763032734,20,0.001000000000000000020816681712,667,1086,0,2,12,7
209,1762252636,93,2dea3aba-4ba9-4571-9519-13628c704362,1762252729,1762252953,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 712 --hidden_size 2922 --dropout 0 --num_dense_layers 2 --filter 4 --num_conv_layers 7,0,,c79,1214321,209_0,COMPLETED,BOTORCH_MODULAR,22.82000000000000028421709430404,218.348000000000013187673175707459,20,0.001000000000000000020816681712,712,2922,0,2,4,7
210,1762252636,122,2dea3aba-4ba9-4571-9519-13628c704362,1762252758,1762252982,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 627 --hidden_size 1086 --dropout 0 --num_dense_layers 2 --filter 8 --num_conv_layers 7,0,,c114,1214322,210_0,COMPLETED,BOTORCH_MODULAR,30.6000000000000014210854715202,212.129999999999995452526491135359,20,0.001000000000000000020816681712,627,1086,0,2,8,7
211,1762252636,57,2dea3aba-4ba9-4571-9519-13628c704362,1762252693,1762252907,214,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 662 --hidden_size 1074 --dropout 0 --num_dense_layers 2 --filter 6 --num_conv_layers 7,0,,c81,1214315,211_0,COMPLETED,BOTORCH_MODULAR,26.67000000000000170530256582424,202.82900000000000773070496506989,20,0.001000000000000000020816681712,662,1074,0,2,6,7
212,1762252636,62,2dea3aba-4ba9-4571-9519-13628c704362,1762252698,1762252924,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 640 --hidden_size 1064 --dropout 0 --num_dense_layers 2 --filter 23 --num_conv_layers 7,0,,c37,1214318,212_0,COMPLETED,BOTORCH_MODULAR,42.060000000000002273736754432321,217.260999999999995679900166578591,20,0.001000000000000000020816681712,640,1064,0,2,23,7
213,1762252636,87,2dea3aba-4ba9-4571-9519-13628c704362,1762252723,1762252937,214,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 661 --hidden_size 1074 --dropout 0 --num_dense_layers 2 --filter 14 --num_conv_layers 7,0,,c80,1214320,213_0,COMPLETED,BOTORCH_MODULAR,35.46999999999999886313162278384,207.044999999999987494447850622237,20,0.001000000000000000020816681712,661,1074,0,2,14,7
214,1762252636,62,2dea3aba-4ba9-4571-9519-13628c704362,1762252698,1762252925,227,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 627 --hidden_size 1075 --dropout 0 --num_dense_layers 2 --filter 11 --num_conv_layers 7,0,,c41,1214317,214_0,COMPLETED,BOTORCH_MODULAR,33.17999999999999971578290569596,215.889000000000010004441719502211,20,0.001000000000000000020816681712,627,1075,0,2,11,7
215,1762252636,123,2dea3aba-4ba9-4571-9519-13628c704362,1762252759,1762252984,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 624 --hidden_size 1074 --dropout 0 --num_dense_layers 2 --filter 9 --num_conv_layers 7,0,,c63,1214323,215_0,COMPLETED,BOTORCH_MODULAR,31.01999999999999957367435854394,215.635999999999995679900166578591,20,0.001000000000000000020816681712,624,1074,0,2,9,7
216,1762252651,132,2dea3aba-4ba9-4571-9519-13628c704362,1762252783,1762252991,208,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 703 --hidden_size 2923 --dropout 0 --num_dense_layers 2 --filter 4 --num_conv_layers 7,0,,c46,1214329,216_0,COMPLETED,BOTORCH_MODULAR,20.94000000000000127897692436818,204.835000000000007958078640513122,20,0.001000000000000000020816681712,703,2923,0,2,4,7
217,,,,,,,,,,,,217_0,RUNNING,BOTORCH_MODULAR,,,20,0.001000000000000000020816681712,639,1069,0,2,4,7
218,,,,,,,,,,,,218_0,RUNNING,BOTORCH_MODULAR,,,20,0.001000000000000000020816681712,635,1074,0,2,4,7
219,,,,,,,,,,,,219_0,RUNNING,BOTORCH_MODULAR,,,20,0.001000000000000000020816681712,632,1072,0,2,4,7
220,1762254004,257,2dea3aba-4ba9-4571-9519-13628c704362,1762254261,1762254499,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 480 --hidden_size 552 --dropout 0 --num_dense_layers 1 --filter 68 --num_conv_layers 4,0,,c111,1214675,220_0,COMPLETED,BOTORCH_MODULAR,51.67000000000000170530256582424,228.145000000000010231815394945443,20,0.001000000000000000020816681712,480,552,0,1,68,4
221,1762254004,273,2dea3aba-4ba9-4571-9519-13628c704362,1762254277,1762254508,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 317 --hidden_size 522 --dropout 0 --num_dense_layers 1 --filter 68 --num_conv_layers 4,0,,c42,1214676,221_0,COMPLETED,BOTORCH_MODULAR,51.689999999999997726263245567679,224.270999999999986584953148849308,20,0.001000000000000000020816681712,317,522,0,1,68,4
222,1762254004,72,2dea3aba-4ba9-4571-9519-13628c704362,1762254076,1762254301,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 568 --hidden_size 545 --dropout 0 --num_dense_layers 1 --filter 67 --num_conv_layers 4,0,,c84,1214671,222_0,COMPLETED,BOTORCH_MODULAR,50.17999999999999971578290569596,217.585000000000007958078640513122,20,0.001000000000000000020816681712,568,545,0,1,67,4
223,1762254003,72,2dea3aba-4ba9-4571-9519-13628c704362,1762254075,1762254306,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 264 --hidden_size 541 --dropout 0 --num_dense_layers 2 --filter 68 --num_conv_layers 4,0,,c88,1214669,223_0,COMPLETED,BOTORCH_MODULAR,53.07000000000000028421709430404,223.360999999999989995558280497789,20,0.001000000000000000020816681712,264,541,0,2,68,4
224,1762254004,113,2dea3aba-4ba9-4571-9519-13628c704362,1762254117,1762254349,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 343 --hidden_size 557 --dropout 0 --num_dense_layers 1 --filter 70 --num_conv_layers 4,0,,c69,1214672,224_0,COMPLETED,BOTORCH_MODULAR,52.009999999999998010480339871719,225.348000000000013187673175707459,20,0.001000000000000000020816681712,343,557,0,1,70,4
225,1762254005,352,2dea3aba-4ba9-4571-9519-13628c704362,1762254357,1762254588,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 420 --hidden_size 552 --dropout 0 --num_dense_layers 1 --filter 69 --num_conv_layers 4,0,,c69,1214682,225_0,COMPLETED,BOTORCH_MODULAR,49.78999999999999914734871708788,222.360000000000013642420526593924,20,0.001000000000000000020816681712,420,552,0,1,69,4
226,1762254003,294,2dea3aba-4ba9-4571-9519-13628c704362,1762254297,1762254529,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 331 --hidden_size 529 --dropout 0 --num_dense_layers 2 --filter 66 --num_conv_layers 4,0,,c63,1214677,226_0,COMPLETED,BOTORCH_MODULAR,53.14000000000000056843418860808,223.097000000000008412825991399586,20,0.001000000000000000020816681712,331,529,0,2,66,4
227,1762254005,371,2dea3aba-4ba9-4571-9519-13628c704362,1762254376,1762254620,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 177 --hidden_size 542 --dropout 0 --num_dense_layers 1 --filter 67 --num_conv_layers 4,0,,c81,1214684,227_0,COMPLETED,BOTORCH_MODULAR,53.07999999999999829469743417576,237.056999999999987949195201508701,20,0.001000000000000000020816681712,177,542,0,1,67,4
228,1762254005,402,2dea3aba-4ba9-4571-9519-13628c704362,1762254407,1762254637,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 503 --hidden_size 549 --dropout 0 --num_dense_layers 2 --filter 68 --num_conv_layers 4,0,,c129,1214685,228_0,COMPLETED,BOTORCH_MODULAR,51,222.408999999999991814547684043646,20,0.001000000000000000020816681712,503,549,0,2,68,4
229,1762254005,346,2dea3aba-4ba9-4571-9519-13628c704362,1762254351,1762254582,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 629 --hidden_size 564 --dropout 0 --num_dense_layers 1 --filter 68 --num_conv_layers 4,0,,c51,1214681,229_0,COMPLETED,BOTORCH_MODULAR,50.549999999999997157829056959599,224.225999999999999090505298227072,20,0.001000000000000000020816681712,629,564,0,1,68,4
230,1762254004,131,2dea3aba-4ba9-4571-9519-13628c704362,1762254135,1762254360,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 604 --hidden_size 544 --dropout 0 --num_dense_layers 2 --filter 66 --num_conv_layers 4,0,,c81,1214673,230_0,COMPLETED,BOTORCH_MODULAR,50.1000000000000014210854715202,217.699999999999988631316227838397,20,0.001000000000000000020816681712,604,544,0,2,66,4
231,1762254004,312,2dea3aba-4ba9-4571-9519-13628c704362,1762254316,1762254542,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 313 --hidden_size 521 --dropout 0 --num_dense_layers 1 --filter 68 --num_conv_layers 4,0,,c84,1214680,231_0,COMPLETED,BOTORCH_MODULAR,53.67000000000000170530256582424,220.466000000000008185452315956354,20,0.001000000000000000020816681712,313,521,0,1,68,4
232,1762254005,213,2dea3aba-4ba9-4571-9519-13628c704362,1762254218,1762254455,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 485 --hidden_size 541 --dropout 0 --num_dense_layers 1 --filter 67 --num_conv_layers 4,0,,c112,1214674,232_0,COMPLETED,BOTORCH_MODULAR,51.03999999999999914734871708788,229.215000000000003410605131648481,20,0.001000000000000000020816681712,485,541,0,1,67,4
233,1762254005,365,2dea3aba-4ba9-4571-9519-13628c704362,1762254370,1762254619,249,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 517 --hidden_size 588 --dropout 0 --num_dense_layers 1 --filter 71 --num_conv_layers 4,0,,c36,1214683,233_0,COMPLETED,BOTORCH_MODULAR,52.07999999999999829469743417576,236,20,0.001000000000000000020816681712,517,588,0,1,71,4
234,1762254004,312,2dea3aba-4ba9-4571-9519-13628c704362,1762254316,1762254547,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 273 --hidden_size 550 --dropout 0 --num_dense_layers 2 --filter 68 --num_conv_layers 4,0,,c88,1214679,234_0,COMPLETED,BOTORCH_MODULAR,52.549999999999997157829056959599,226.75,20,0.001000000000000000020816681712,273,550,0,2,68,4
235,1762254005,317,2dea3aba-4ba9-4571-9519-13628c704362,1762254322,1762254559,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 544 --hidden_size 569 --dropout 0 --num_dense_layers 1 --filter 70 --num_conv_layers 4,0,,c143,1214678,235_0,COMPLETED,BOTORCH_MODULAR,51.21999999999999886313162278384,230.775000000000005684341886080801,20,0.001000000000000000020816681712,544,569,0,1,70,4
236,1762254008,399,2dea3aba-4ba9-4571-9519-13628c704362,1762254407,1762254632,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 436 --hidden_size 543 --dropout 0 --num_dense_layers 1 --filter 68 --num_conv_layers 4,0,,c110,1214688,236_0,COMPLETED,BOTORCH_MODULAR,51.8999999999999985789145284798,219.343999999999994088284438475966,20,0.001000000000000000020816681712,436,543,0,1,68,4
237,1762254014,404,2dea3aba-4ba9-4571-9519-13628c704362,1762254418,1762254655,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 284 --hidden_size 524 --dropout 0 --num_dense_layers 1 --filter 68 --num_conv_layers 4,0,,c132,1214689,237_0,COMPLETED,BOTORCH_MODULAR,51.189999999999997726263245567679,228.901999999999986812326824292541,20,0.001000000000000000020816681712,284,524,0,1,68,4
238,1762254014,403,2dea3aba-4ba9-4571-9519-13628c704362,1762254417,1762254641,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 411 --hidden_size 543 --dropout 0 --num_dense_layers 1 --filter 66 --num_conv_layers 4,0,,c114,1214691,238_0,COMPLETED,BOTORCH_MODULAR,52.740000000000001989519660128281,219.330999999999988858689903281629,20,0.001000000000000000020816681712,411,543,0,1,66,4
239,1762254014,449,2dea3aba-4ba9-4571-9519-13628c704362,1762254463,1762254707,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 403 --hidden_size 554 --dropout 0 --num_dense_layers 1 --filter 69 --num_conv_layers 4,0,,c50,1214692,239_0,COMPLETED,BOTORCH_MODULAR,50.659999999999996589394868351519,235.09499999999999886313162278384,20,0.001000000000000000020816681712,403,554,0,1,69,4
240,1762255865,467,2dea3aba-4ba9-4571-9519-13628c704362,1762256332,1762256583,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 165 --hidden_size 3541 --dropout 0.5 --num_dense_layers 1 --filter 48 --num_conv_layers 4,0,,c46,1215316,240_0,COMPLETED,BOTORCH_MODULAR,51.009999999999998010480339871719,243.45099999999999340616341214627,20,0.001000000000000000020816681712,165,3541,0.5,1,48,4
241,1762255865,467,2dea3aba-4ba9-4571-9519-13628c704362,1762256332,1762256583,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 129 --hidden_size 3582 --dropout 0.5 --num_dense_layers 1 --filter 48 --num_conv_layers 4,0,,c111,1215314,241_0,COMPLETED,BOTORCH_MODULAR,52.020000000000003126388037344441,245.092000000000012960299500264227,20,0.001000000000000000020816681712,129,3582,0.5,1,48,4
242,1762255864,409,2dea3aba-4ba9-4571-9519-13628c704362,1762256273,1762256543,270,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 145 --hidden_size 3472 --dropout 0.5 --num_dense_layers 2 --filter 53 --num_conv_layers 4,0,,c110,1215299,242_0,COMPLETED,BOTORCH_MODULAR,50.990000000000001989519660128281,261.980000000000018189894035458565,20,0.001000000000000000020816681712,145,3472,0.5,2,53,4
243,1762255865,418,2dea3aba-4ba9-4571-9519-13628c704362,1762256283,1762256534,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 132 --hidden_size 3513 --dropout 0.5 --num_dense_layers 1 --filter 49 --num_conv_layers 4,0,,c50,1215311,243_0,COMPLETED,BOTORCH_MODULAR,52.07999999999999829469743417576,244.308999999999997498889570124447,20,0.001000000000000000020816681712,132,3513,0.5,1,49,4
244,1762255865,412,2dea3aba-4ba9-4571-9519-13628c704362,1762256277,1762256626,349,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 49 --hidden_size 3550 --dropout 0.42707034407574290258 --num_dense_layers 2 --filter 50 --num_conv_layers 4,0,,c45,1215306,244_0,COMPLETED,BOTORCH_MODULAR,53.25,341.742000000000018644641386345029,20,0.001000000000000000020816681712,49,3550,0.427070344075742902578696202909,2,50,4
245,1762255865,467,2dea3aba-4ba9-4571-9519-13628c704362,1762256332,1762256556,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 432 --hidden_size 3473 --dropout 0.5 --num_dense_layers 2 --filter 50 --num_conv_layers 4,0,,c38,1215317,245_0,COMPLETED,BOTORCH_MODULAR,46.17000000000000170530256582424,220.108000000000004092726157978177,20,0.001000000000000000020816681712,432,3473,0.5,2,50,4
246,1762255864,409,2dea3aba-4ba9-4571-9519-13628c704362,1762256273,1762256537,264,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 119 --hidden_size 3583 --dropout 0.5 --num_dense_layers 1 --filter 49 --num_conv_layers 4,0,,c122,1215298,246_0,COMPLETED,BOTORCH_MODULAR,52.17000000000000170530256582424,254.830000000000012505552149377763,20,0.001000000000000000020816681712,119,3583,0.5,1,49,4
247,1762255865,407,2dea3aba-4ba9-4571-9519-13628c704362,1762256272,1762256587,315,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00094921935990004169 --batch_size 96 --hidden_size 3603 --dropout 0.5 --num_dense_layers 1 --filter 51 --num_conv_layers 4,0,,c48,1215301,247_0,COMPLETED,BOTORCH_MODULAR,55.78999999999999914734871708788,311.322999999999979081621859222651,24,0.000949219359900041687386207379,96,3603,0.5,1,51,4
248,1762255865,412,2dea3aba-4ba9-4571-9519-13628c704362,1762256277,1762256527,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 172 --hidden_size 3548 --dropout 0.5 --num_dense_layers 1 --filter 48 --num_conv_layers 4,0,,c78,1215300,248_0,COMPLETED,BOTORCH_MODULAR,52.380000000000002557953848736361,241.151000000000010459189070388675,20,0.001000000000000000020816681712,172,3548,0.5,1,48,4
249,1762255865,412,2dea3aba-4ba9-4571-9519-13628c704362,1762256277,1762256514,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 342 --hidden_size 3552 --dropout 0.5 --num_dense_layers 1 --filter 48 --num_conv_layers 4,0,,c45,1215302,249_0,COMPLETED,BOTORCH_MODULAR,49.869999999999997442046151263639,226.018000000000000682121026329696,20,0.001000000000000000020816681712,342,3552,0.5,1,48,4
250,1762255865,483,2dea3aba-4ba9-4571-9519-13628c704362,1762256348,1762256611,263,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 131 --hidden_size 3535 --dropout 0.5 --num_dense_layers 1 --filter 49 --num_conv_layers 4,0,,c73,1215319,250_0,COMPLETED,BOTORCH_MODULAR,52.049999999999997157829056959599,255.879999999999995452526491135359,20,0.001000000000000000020816681712,131,3535,0.5,1,49,4
251,1762255865,473,2dea3aba-4ba9-4571-9519-13628c704362,1762256338,1762256588,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 269 --hidden_size 3515 --dropout 0.5 --num_dense_layers 1 --filter 47 --num_conv_layers 4,0,,c15,1215318,251_0,COMPLETED,BOTORCH_MODULAR,50.840000000000003410605131648481,242.296999999999997044142219237983,20,0.001000000000000000020816681712,269,3515,0.5,1,47,4
252,1762255866,506,2dea3aba-4ba9-4571-9519-13628c704362,1762256372,1762256649,277,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 78 --hidden_size 3470 --dropout 0.5 --num_dense_layers 1 --filter 50 --num_conv_layers 4,0,,c78,1215320,252_0,COMPLETED,BOTORCH_MODULAR,51.840000000000003410605131648481,271.209999999999979536369210109115,20,0.001000000000000000020816681712,78,3470,0.5,1,50,4
253,1762255865,413,2dea3aba-4ba9-4571-9519-13628c704362,1762256278,1762256521,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 229 --hidden_size 3546 --dropout 0.46652760217159683354 --num_dense_layers 1 --filter 44 --num_conv_layers 4,0,,c43,1215308,253_0,COMPLETED,BOTORCH_MODULAR,51.3999999999999985789145284798,234.403999999999996362021192908287,20,0.001000000000000000020816681712,229,3546,0.466527602171596833535716086772,1,44,4
254,1762255865,468,2dea3aba-4ba9-4571-9519-13628c704362,1762256333,1762256603,270,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 129 --hidden_size 3536 --dropout 0.5 --num_dense_layers 1 --filter 49 --num_conv_layers 4,0,,c151,1215312,254_0,COMPLETED,BOTORCH_MODULAR,51.57000000000000028421709430404,264.887000000000000454747350886464,20,0.001000000000000000020816681712,129,3536,0.5,1,49,4
255,1762255865,467,2dea3aba-4ba9-4571-9519-13628c704362,1762256332,1762256564,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 327 --hidden_size 3573 --dropout 0.5 --num_dense_layers 1 --filter 48 --num_conv_layers 4,0,,c49,1215315,255_0,COMPLETED,BOTORCH_MODULAR,51.46000000000000085265128291212,227.646999999999991359800333157182,20,0.001000000000000000020816681712,327,3573,0.5,1,48,4
256,1762255867,530,2dea3aba-4ba9-4571-9519-13628c704362,1762256397,1762256648,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 133 --hidden_size 3541 --dropout 0.5 --num_dense_layers 1 --filter 50 --num_conv_layers 4,0,,c128,1215322,256_0,COMPLETED,BOTORCH_MODULAR,52.3999999999999985789145284798,246.881000000000000227373675443232,20,0.001000000000000000020816681712,133,3541,0.5,1,50,4
257,1762255872,520,2dea3aba-4ba9-4571-9519-13628c704362,1762256392,1762256649,257,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 157 --hidden_size 3516 --dropout 0.5 --num_dense_layers 1 --filter 48 --num_conv_layers 4,0,,c135,1215321,257_0,COMPLETED,BOTORCH_MODULAR,51.92999999999999971578290569596,247.191000000000002501110429875553,20,0.001000000000000000020816681712,157,3516,0.5,1,48,4
258,1762255872,520,2dea3aba-4ba9-4571-9519-13628c704362,1762256392,1762256643,251,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 162 --hidden_size 3521 --dropout 0.5 --num_dense_layers 1 --filter 49 --num_conv_layers 4,0,,c128,1215323,258_0,COMPLETED,BOTORCH_MODULAR,51.92999999999999971578290569596,244.241000000000013869794202037156,20,0.001000000000000000020816681712,162,3521,0.5,1,49,4
259,1762255877,515,2dea3aba-4ba9-4571-9519-13628c704362,1762256392,1762256637,245,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 150 --hidden_size 3567 --dropout 0.5 --num_dense_layers 1 --filter 48 --num_conv_layers 4,0,,c87,1215324,259_0,COMPLETED,BOTORCH_MODULAR,51.770000000000003126388037344441,240.82900000000000773070496506989,20,0.001000000000000000020816681712,150,3567,0.5,1,48,4
260,1762257652,110,2dea3aba-4ba9-4571-9519-13628c704362,1762257762,1762258157,395,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00100000000000000002 --batch_size 95 --hidden_size 1761 --dropout 0.5 --num_dense_layers 1 --filter 39 --num_conv_layers 7,0,,c147,1215791,260_0,COMPLETED,BOTORCH_MODULAR,54.46000000000000085265128291212,387.279999999999972715158946812153,29,0.001000000000000000020816681712,95,1761,0.5,1,39,7
261,1762257652,43,2dea3aba-4ba9-4571-9519-13628c704362,1762257695,1762257940,245,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 238 --hidden_size 1751 --dropout 0 --num_dense_layers 1 --filter 35 --num_conv_layers 7,0,,c139,1215787,261_0,COMPLETED,BOTORCH_MODULAR,36.71000000000000085265128291212,238.133999999999986130205797962844,20,0.000100000000000000004792173602,238,1751,0,1,35,7
262,1762257651,140,2dea3aba-4ba9-4571-9519-13628c704362,1762257791,1762258029,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 228 --hidden_size 1778 --dropout 0 --num_dense_layers 1 --filter 35 --num_conv_layers 7,0,,c129,1215793,262_0,COMPLETED,BOTORCH_MODULAR,37.28999999999999914734871708788,232.770000000000010231815394945443,20,0.000100000000000000004792173602,228,1778,0,1,35,7
263,1762257652,771,2dea3aba-4ba9-4571-9519-13628c704362,1762258423,1762258737,314,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00066254459134741574 --batch_size 175 --hidden_size 1626 --dropout 0 --num_dense_layers 1 --filter 36 --num_conv_layers 7,0,,c48,1215803,263_0,COMPLETED,BOTORCH_MODULAR,49.479999999999996873611962655559,310.574000000000012278178473934531,27,0.000662544591347415741562631997,175,1626,0,1,36,7
264,1762257652,238,2dea3aba-4ba9-4571-9519-13628c704362,1762257890,1762258222,332,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 25 --learning_rate 0.00100000000000000002 --batch_size 107 --hidden_size 1754 --dropout 0.5 --num_dense_layers 1 --filter 37 --num_conv_layers 7,0,,c38,1215798,264_0,COMPLETED,BOTORCH_MODULAR,52.189999999999997726263245567679,324.184000000000025920599000528455,25,0.001000000000000000020816681712,107,1754,0.5,1,37,7
265,1762257651,19,2dea3aba-4ba9-4571-9519-13628c704362,1762257670,1762258013,343,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00100000000000000002 --batch_size 138 --hidden_size 1805 --dropout 0 --num_dense_layers 2 --filter 37 --num_conv_layers 7,0,,c44,1215785,265_0,COMPLETED,BOTORCH_MODULAR,47.6000000000000014210854715202,331.500999999999976353137753903866,26,0.001000000000000000020816681712,138,1805,0,2,37,7
266,1762257651,43,2dea3aba-4ba9-4571-9519-13628c704362,1762257694,1762258015,321,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 25 --learning_rate 0.00100000000000000002 --batch_size 133 --hidden_size 1683 --dropout 0 --num_dense_layers 1 --filter 37 --num_conv_layers 7,0,,c131,1215788,266_0,COMPLETED,BOTORCH_MODULAR,49.380000000000002557953848736361,313.343999999999994088284438475966,25,0.001000000000000000020816681712,133,1683,0,1,37,7
267,1762257652,99,2dea3aba-4ba9-4571-9519-13628c704362,1762257751,1762258016,265,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 236 --hidden_size 1710 --dropout 0 --num_dense_layers 1 --filter 34 --num_conv_layers 7,0,,c141,1215789,267_0,COMPLETED,BOTORCH_MODULAR,35.96000000000000085265128291212,256.769000000000005456968210637569,20,0.000100000000000000004792173602,236,1710,0,1,34,7
268,1762257652,681,2dea3aba-4ba9-4571-9519-13628c704362,1762258333,1762258632,299,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00099030711155411203 --batch_size 136 --hidden_size 1731 --dropout 0 --num_dense_layers 1 --filter 36 --num_conv_layers 7,0,,c71,1215801,268_0,COMPLETED,BOTORCH_MODULAR,49.5,294.598999999999989540810929611325,24,0.000990307111554112034362828965,136,1731,0,1,36,7
269,1762257652,121,2dea3aba-4ba9-4571-9519-13628c704362,1762257773,1762258029,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 192 --hidden_size 1756 --dropout 0 --num_dense_layers 1 --filter 37 --num_conv_layers 7,0,,c61,1215792,269_0,COMPLETED,BOTORCH_MODULAR,39.229999999999996873611962655559,243.537000000000006139089236967266,20,0.000100000000000000004792173602,192,1756,0,1,37,7
270,1762257651,24,2dea3aba-4ba9-4571-9519-13628c704362,1762257675,1762258038,363,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00090915399348824653 --batch_size 136 --hidden_size 1726 --dropout 0 --num_dense_layers 1 --filter 37 --num_conv_layers 7,0,,c6,1215786,270_0,COMPLETED,BOTORCH_MODULAR,49.299999999999997157829056959599,353.420000000000015916157281026244,26,0.000909153993488246532292396118,136,1726,0,1,37,7
271,1762257652,161,2dea3aba-4ba9-4571-9519-13628c704362,1762257813,1762258144,331,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00100000000000000002 --batch_size 136 --hidden_size 1793 --dropout 0 --num_dense_layers 1 --filter 37 --num_conv_layers 7,0,,c146,1215794,271_0,COMPLETED,BOTORCH_MODULAR,51.6000000000000014210854715202,326.300999999999987721821526065469,26,0.001000000000000000020816681712,136,1793,0,1,37,7
272,1762257652,682,2dea3aba-4ba9-4571-9519-13628c704362,1762258334,1762258625,291,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00100000000000000002 --batch_size 146 --hidden_size 1786 --dropout 0 --num_dense_layers 1 --filter 37 --num_conv_layers 7,0,,c111,1215800,272_0,COMPLETED,BOTORCH_MODULAR,49.869999999999997442046151263639,281.759000000000014551915228366852,22,0.001000000000000000020816681712,146,1786,0,1,37,7
273,1762257652,159,2dea3aba-4ba9-4571-9519-13628c704362,1762257811,1762258301,490,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 40 --learning_rate 0.0001 --batch_size 163 --hidden_size 3719 --dropout 0 --num_dense_layers 1 --filter 55 --num_conv_layers 5,0,,c63,1215795,273_0,COMPLETED,BOTORCH_MODULAR,55.439999999999997726263245567679,481.649000000000000909494701772928,40,0.000100000000000000004792173602,163,3719,0,1,55,5
274,1762257652,99,2dea3aba-4ba9-4571-9519-13628c704362,1762257751,1762258034,283,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00100000000000000002 --batch_size 142 --hidden_size 1762 --dropout 0 --num_dense_layers 2 --filter 36 --num_conv_layers 7,0,,c17,1215790,274_0,COMPLETED,BOTORCH_MODULAR,47.509999999999998010480339871719,275.315999999999974079400999471545,22,0.001000000000000000020816681712,142,1762,0,2,36,7
275,1762257652,681,2dea3aba-4ba9-4571-9519-13628c704362,1762258333,1762258692,359,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00100000000000000002 --batch_size 130 --hidden_size 1787 --dropout 0 --num_dense_layers 1 --filter 39 --num_conv_layers 7,0,,c63,1215802,275_0,COMPLETED,BOTORCH_MODULAR,51.369999999999997442046151263639,352.745999999999980900611262768507,29,0.001000000000000000020816681712,130,1787,0,1,39,7
276,1762257653,169,2dea3aba-4ba9-4571-9519-13628c704362,1762257822,1762258177,355,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00100000000000000002 --batch_size 113 --hidden_size 1758 --dropout 0.5 --num_dense_layers 1 --filter 38 --num_conv_layers 7,0,,c119,1215796,276_0,COMPLETED,BOTORCH_MODULAR,51.840000000000003410605131648481,349.370999999999980900611262768507,27,0.001000000000000000020816681712,113,1758,0.5,1,38,7
277,1762257653,178,2dea3aba-4ba9-4571-9519-13628c704362,1762257831,1762258193,362,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00100000000000000002 --batch_size 113 --hidden_size 1771 --dropout 0.5 --num_dense_layers 1 --filter 38 --num_conv_layers 7,0,,c71,1215797,277_0,COMPLETED,BOTORCH_MODULAR,53.92999999999999971578290569596,354.607000000000027739588404074311,27,0.001000000000000000020816681712,113,1771,0.5,1,38,7
278,1762257653,257,2dea3aba-4ba9-4571-9519-13628c704362,1762257910,1762258197,287,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00100000000000000002 --batch_size 121 --hidden_size 1794 --dropout 0.5 --num_dense_layers 1 --filter 37 --num_conv_layers 7,0,,c86,1215799,278_0,COMPLETED,BOTORCH_MODULAR,50.689999999999997726263245567679,281.442000000000007275957614183426,22,0.001000000000000000020816681712,121,1794,0.5,1,37,7
279,1762257658,1396,2dea3aba-4ba9-4571-9519-13628c704362,1762259054,1762259392,338,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00100000000000000002 --batch_size 121 --hidden_size 1771 --dropout 0 --num_dense_layers 1 --filter 37 --num_conv_layers 7,0,,c139,1215804,279_0,COMPLETED,BOTORCH_MODULAR,49.509999999999998010480339871719,329.360999999999989995558280497789,26,0.001000000000000000020816681712,121,1771,0,1,37,7
280,,,,,,,,,,,,280_0,RUNNING,BOTORCH_MODULAR,,,44,0.000683677407356980335051410691,233,3658,0,1,65,4
281,1762260406,604,2dea3aba-4ba9-4571-9519-13628c704362,1762261010,1762261575,565,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 41 --learning_rate 0.00077398512264178999 --batch_size 98 --hidden_size 3863 --dropout 0 --num_dense_layers 1 --filter 66 --num_conv_layers 4,0,,c129,1215999,281_0,COMPLETED,BOTORCH_MODULAR,61.8999999999999985789145284798,558.269000000000005456968210637569,41,0.000773985122641789990288740952,98,3863,0,1,66,4
282,1762260406,423,2dea3aba-4ba9-4571-9519-13628c704362,1762260829,1762261343,514,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 41 --learning_rate 0.00068050313357089951 --batch_size 158 --hidden_size 3680 --dropout 0 --num_dense_layers 1 --filter 64 --num_conv_layers 4,0,,c134,1215994,282_0,COMPLETED,BOTORCH_MODULAR,60.869999999999997442046151263639,505.321000000000026375346351414919,41,0.000680503133570899512196084036,158,3680,0,1,64,4
283,1762260406,574,2dea3aba-4ba9-4571-9519-13628c704362,1762260980,1762261574,594,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 48 --learning_rate 0.00070568665222324478 --batch_size 151 --hidden_size 3775 --dropout 0 --num_dense_layers 1 --filter 59 --num_conv_layers 4,0,,c84,1215998,283_0,COMPLETED,BOTORCH_MODULAR,60.3999999999999985789145284798,586.236999999999966348696034401655,48,0.000705686652223244778765753882,151,3775,0,1,59,4
284,1762260406,483,2dea3aba-4ba9-4571-9519-13628c704362,1762260889,1762261411,522,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 41 --learning_rate 0.00071498199376889362 --batch_size 135 --hidden_size 3710 --dropout 0 --num_dense_layers 1 --filter 69 --num_conv_layers 4,0,,c37,1215995,284_0,COMPLETED,BOTORCH_MODULAR,60.880000000000002557953848736361,518.24300000000005184119800105691,41,0.00071498199376889362294945629,135,3710,0,1,69,4
285,1762260407,512,2dea3aba-4ba9-4571-9519-13628c704362,1762260919,1762261420,501,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 39 --learning_rate 0.00071496371647731085 --batch_size 100 --hidden_size 3745 --dropout 0 --num_dense_layers 1 --filter 64 --num_conv_layers 4,0,,c70,1215996,285_0,COMPLETED,BOTORCH_MODULAR,60.60999999999999943156581139192,494.213000000000022282620193436742,39,0.0007149637164773108488277642,100,3745,0,1,64,4
286,,,,,,,,,,,,286_0,RUNNING,BOTORCH_MODULAR,,,44,0.000759303448188044529353069034,217,3837,0,1,64,4
287,,,,,,,,,,,,287_0,RUNNING,BOTORCH_MODULAR,,,30,0.001000000000000000020816681712,153,1119,0,1,64,4
288,1762260407,574,2dea3aba-4ba9-4571-9519-13628c704362,1762260981,1762261519,538,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 39 --learning_rate 0.00069918403740365834 --batch_size 91 --hidden_size 3712 --dropout 0 --num_dense_layers 1 --filter 64 --num_conv_layers 4,0,,c110,1215997,288_0,COMPLETED,BOTORCH_MODULAR,61.259999999999998010480339871719,529.113000000000056388671509921551,39,0.000699184037403658342410550652,91,3712,0,1,64,4
289,1762260406,605,2dea3aba-4ba9-4571-9519-13628c704362,1762261011,1762261559,548,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 40 --learning_rate 0.00061487544106720552 --batch_size 93 --hidden_size 3546 --dropout 0 --num_dense_layers 1 --filter 66 --num_conv_layers 4,0,,c51,1216000,289_0,COMPLETED,BOTORCH_MODULAR,61.229999999999996873611962655559,541.278000000000020008883439004421,40,0.000614875441067205515469074051,93,3546,0,1,66,4
290,,,,,,,,,,,,290_0,RUNNING,BOTORCH_MODULAR,,,40,0.000709606997767473998174614369,107,3745,0,1,63,4
291,,,,,,,,,,,,291_0,RUNNING,BOTORCH_MODULAR,,,43,0.000739161151138615084461858107,120,3821,0,1,62,4
292,1762260406,694,2dea3aba-4ba9-4571-9519-13628c704362,1762261100,1762261628,528,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 45 --learning_rate 0.00071159854201752442 --batch_size 246 --hidden_size 3758 --dropout 0 --num_dense_layers 1 --filter 65 --num_conv_layers 4,0,,c137,1216001,292_0,COMPLETED,BOTORCH_MODULAR,60.1499999999999985789145284798,520.365000000000009094947017729282,45,0.000711598542017524422591268074,246,3758,0,1,65,4
293,,,,,,,,,,,,293_0,RUNNING,BOTORCH_MODULAR,,,40,0.000785422786588335294921670027,89,3873,0,1,63,4
294,,,,,,,,,,,,294_0,RUNNING,BOTORCH_MODULAR,,,38,0.000620575757193876772696561339,56,3559,0,1,65,4
295,,,,,,,,,,,,295_0,RUNNING,BOTORCH_MODULAR,,,32,0.001000000000000000020816681712,255,1176,0,1,64,4
296,1762260454,835,2dea3aba-4ba9-4571-9519-13628c704362,1762261289,1762261908,619,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 40 --learning_rate 0.0006818896119448047 --batch_size 73 --hidden_size 3680 --dropout 0 --num_dense_layers 1 --filter 64 --num_conv_layers 4,0,,c95,1216010,296_0,COMPLETED,BOTORCH_MODULAR,61.92999999999999971578290569596,591.902000000000043655745685100555,40,0.000681889611944804701140765424,73,3680,0,1,64,4
297,,,,,,,,,,,,297_0,RUNNING,BOTORCH_MODULAR,,,39,0.000768868679605980349413274499,28,3836,0,1,64,4
298,1762260464,877,2dea3aba-4ba9-4571-9519-13628c704362,1762261341,1762262016,675,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.0006525058643435214 --batch_size 299 --hidden_size 1849 --dropout 0 --num_dense_layers 1 --filter 73 --num_conv_layers 4,0,,c133,1216013,298_0,COMPLETED,BOTORCH_MODULAR,60.17000000000000170530256582424,665.227999999999951796780806034803,54,0.000652505864343521399355274593,299,1849,0,1,73,4
299,,,,,,,,,,,,299_0,RUNNING,BOTORCH_MODULAR,,,40,0.000723487989010965335152925082,110,3750,0,1,64,4
300,1762263031,82,2dea3aba-4ba9-4571-9519-13628c704362,1762263113,1762263345,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 559 --hidden_size 1073 --dropout 0 --num_dense_layers 2 --filter 63 --num_conv_layers 4,0,,c116,1216083,300_0,COMPLETED,BOTORCH_MODULAR,52.619999999999997442046151263639,224.92400000000000659383658785373,20,0.001000000000000000020816681712,559,1073,0,2,63,4
301,1762263031,233,2dea3aba-4ba9-4571-9519-13628c704362,1762263264,1762263490,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 875 --hidden_size 2755 --dropout 0 --num_dense_layers 1 --filter 79 --num_conv_layers 7,0,,c152,1216088,301_0,COMPLETED,BOTORCH_MODULAR,53.82999999999999829469743417576,222.175999999999987721821526065469,20,0.001000000000000000020816681712,875,2755,0,1,79,7
302,1762263031,52,2dea3aba-4ba9-4571-9519-13628c704362,1762263083,1762263302,219,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 880 --hidden_size 2796 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c26,1216082,302_0,COMPLETED,BOTORCH_MODULAR,52.909999999999996589394868351519,213.883000000000009777068044058979,20,0.001000000000000000020816681712,880,2796,0,1,80,7
303,1762263032,262,2dea3aba-4ba9-4571-9519-13628c704362,1762263294,1762263528,234,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 875 --hidden_size 2808 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c111,1216092,303_0,COMPLETED,BOTORCH_MODULAR,54.57000000000000028421709430404,221.639000000000010004441719502211,20,0.001000000000000000020816681712,875,2808,0,1,80,7
304,1762263032,262,2dea3aba-4ba9-4571-9519-13628c704362,1762263294,1762263522,228,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 871 --hidden_size 2788 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c140,1216090,304_0,COMPLETED,BOTORCH_MODULAR,53.880000000000002557953848736361,217.645000000000010231815394945443,20,0.001000000000000000020816681712,871,2788,0,1,80,7
305,1762263032,202,2dea3aba-4ba9-4571-9519-13628c704362,1762263234,1762263547,313,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00036550680249189502 --batch_size 147 --hidden_size 3431 --dropout 0 --num_dense_layers 1 --filter 53 --num_conv_layers 4,0,,c46,1216086,305_0,COMPLETED,BOTORCH_MODULAR,53.770000000000003126388037344441,302.889000000000010004441719502211,20,0.000365506802491895018206169432,147,3431,0,1,53,4
306,1762263031,293,2dea3aba-4ba9-4571-9519-13628c704362,1762263324,1762263571,247,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 450 --hidden_size 1084 --dropout 0 --num_dense_layers 2 --filter 60 --num_conv_layers 4,0,,c26,1216094,306_0,COMPLETED,BOTORCH_MODULAR,51.25,220.425000000000011368683772161603,20,0.001000000000000000020816681712,450,1084,0,2,60,4
307,1762263032,232,2dea3aba-4ba9-4571-9519-13628c704362,1762263264,1762263543,279,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00073902674721662781 --batch_size 127 --hidden_size 3724 --dropout 0 --num_dense_layers 1 --filter 58 --num_conv_layers 7,0,,c21,1216089,307_0,COMPLETED,BOTORCH_MODULAR,53.07000000000000028421709430404,270.187999999999988176568876951933,20,0.000739026747216627814124345619,127,3724,0,1,58,7
308,1762263032,352,2dea3aba-4ba9-4571-9519-13628c704362,1762263384,1762263611,227,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 865 --hidden_size 1106 --dropout 0 --num_dense_layers 1 --filter 58 --num_conv_layers 4,0,,c61,1216097,308_0,COMPLETED,BOTORCH_MODULAR,50.35999999999999943156581139192,217.522999999999996134647517465055,20,0.001000000000000000020816681712,865,1106,0,1,58,4
309,1762263032,203,2dea3aba-4ba9-4571-9519-13628c704362,1762263235,1762263493,258,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 866 --hidden_size 1084 --dropout 0 --num_dense_layers 1 --filter 59 --num_conv_layers 7,0,,c32,1216087,309_0,COMPLETED,BOTORCH_MODULAR,51.770000000000003126388037344441,249.79900000000000659383658785373,20,0.001000000000000000020816681712,866,1084,0,1,59,7
310,1762263032,383,2dea3aba-4ba9-4571-9519-13628c704362,1762263415,1762263641,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 882 --hidden_size 2801 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c135,1216099,310_0,COMPLETED,BOTORCH_MODULAR,53.46999999999999886313162278384,219.669999999999987494447850622237,20,0.001000000000000000020816681712,882,2801,0,1,80,7
311,1762263032,274,2dea3aba-4ba9-4571-9519-13628c704362,1762263306,1762263566,260,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 892 --hidden_size 1119 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c124,1216091,311_0,COMPLETED,BOTORCH_MODULAR,50,241.830999999999988858689903281629,20,0.001000000000000000020816681712,892,1119,0,1,80,4
312,1762263032,352,2dea3aba-4ba9-4571-9519-13628c704362,1762263384,1762263655,271,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0009715117852705684 --batch_size 209 --hidden_size 1190 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c45,1216098,312_0,COMPLETED,BOTORCH_MODULAR,53.67000000000000170530256582424,263.456999999999993633537087589502,20,0.000971511785270568395053714106,209,1190,0,1,80,7
313,1762263033,297,2dea3aba-4ba9-4571-9519-13628c704362,1762263330,1762263589,259,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 879 --hidden_size 2778 --dropout 0 --num_dense_layers 1 --filter 74 --num_conv_layers 4,0,,c93,1216093,313_0,COMPLETED,BOTORCH_MODULAR,51.75,241.893000000000000682121026329696,20,0.001000000000000000020816681712,879,2778,0,1,74,4
314,1762263032,142,2dea3aba-4ba9-4571-9519-13628c704362,1762263174,1762263398,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 717 --hidden_size 1068 --dropout 0 --num_dense_layers 1 --filter 59 --num_conv_layers 4,0,,c135,1216084,314_0,COMPLETED,BOTORCH_MODULAR,51.14000000000000056843418860808,215.705000000000012505552149377763,20,0.001000000000000000020816681712,717,1068,0,1,59,4
315,1762263032,142,2dea3aba-4ba9-4571-9519-13628c704362,1762263174,1762263395,221,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 428 --hidden_size 1131 --dropout 0 --num_dense_layers 1 --filter 61 --num_conv_layers 4,0,,c134,1216085,315_0,COMPLETED,BOTORCH_MODULAR,52.78000000000000113686837721616,217.258000000000009777068044058979,20,0.001000000000000000020816681712,428,1131,0,1,61,4
316,1762263033,321,2dea3aba-4ba9-4571-9519-13628c704362,1762263354,1762263588,234,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 321 --hidden_size 1120 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c116,1216095,316_0,COMPLETED,BOTORCH_MODULAR,54.1000000000000014210854715202,226.340000000000003410605131648481,20,0.001000000000000000020816681712,321,1120,0,2,80,4
317,1762263033,381,2dea3aba-4ba9-4571-9519-13628c704362,1762263414,1762263672,258,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00021671767542471063 --batch_size 125 --hidden_size 3258 --dropout 0 --num_dense_layers 1 --filter 57 --num_conv_layers 4,0,,c134,1216100,317_0,COMPLETED,BOTORCH_MODULAR,52.96999999999999886313162278384,251.188999999999992951416061259806,20,0.000216717675424710632791497344,125,3258,0,1,57,4
318,1762263034,320,2dea3aba-4ba9-4571-9519-13628c704362,1762263354,1762263587,233,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 871 --hidden_size 1118 --dropout 0 --num_dense_layers 1 --filter 63 --num_conv_layers 7,0,,c114,1216096,318_0,COMPLETED,BOTORCH_MODULAR,50.17000000000000170530256582424,227.826999999999998181010596454144,20,0.001000000000000000020816681712,871,1118,0,1,63,7
319,1762263038,436,2dea3aba-4ba9-4571-9519-13628c704362,1762263474,1762263695,221,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 896 --hidden_size 1053 --dropout 0 --num_dense_layers 2 --filter 61 --num_conv_layers 4,0,,c143,1216101,319_0,COMPLETED,BOTORCH_MODULAR,51.090000000000003410605131648481,216.096000000000003637978807091713,20,0.001000000000000000020816681712,896,1053,0,2,61,4
320,1762264896,32,2dea3aba-4ba9-4571-9519-13628c704362,1762264928,1762265281,353,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00100000000000000002 --batch_size 150 --hidden_size 3936 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c18,1216119,320_0,COMPLETED,BOTORCH_MODULAR,57.67999999999999971578290569596,341.041999999999973169906297698617,27,0.001000000000000000020816681712,150,3936,0.5,1,80,4
321,1762264896,111,2dea3aba-4ba9-4571-9519-13628c704362,1762265007,1762265406,399,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.00068721613069878333 --batch_size 154 --hidden_size 3684 --dropout 0.5 --num_dense_layers 1 --filter 63 --num_conv_layers 4,0,,c115,1216123,321_0,COMPLETED,BOTORCH_MODULAR,60.03000000000000113686837721616,393.680000000000006821210263296962,32,0.000687216130698783326906375901,154,3684,0.5,1,63,4
322,1762264896,116,2dea3aba-4ba9-4571-9519-13628c704362,1762265012,1762265375,363,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00100000000000000002 --batch_size 181 --hidden_size 3915 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c95,1216124,322_0,COMPLETED,BOTORCH_MODULAR,56.3999999999999985789145284798,355.492999999999994997779140248895,29,0.001000000000000000020816681712,181,3915,0.5,1,80,4
323,1762264896,50,2dea3aba-4ba9-4571-9519-13628c704362,1762264946,1762265174,228,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 952 --hidden_size 3012 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c140,1216120,323_0,COMPLETED,BOTORCH_MODULAR,36.42999999999999971578290569596,223.913999999999987267074175179005,20,0.000100000000000000004792173602,952,3012,0.5,2,80,4
324,1762264895,21,2dea3aba-4ba9-4571-9519-13628c704362,1762264916,1762265211,295,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00060065387448218148 --batch_size 379 --hidden_size 3088 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c93,1216117,324_0,COMPLETED,BOTORCH_MODULAR,55.67000000000000170530256582424,286.709000000000003183231456205249,26,0.000600653874482181475251418856,379,3088,0,1,80,4
325,1762264896,212,2dea3aba-4ba9-4571-9519-13628c704362,1762265108,1762265349,241,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 791 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c28,1216128,325_0,COMPLETED,BOTORCH_MODULAR,47.770000000000003126388037344441,228.134999999999990905052982270718,20,0.001000000000000000020816681712,791,4096,0.5,1,80,4
326,1762264896,83,2dea3aba-4ba9-4571-9519-13628c704362,1762264979,1762265249,270,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 139 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c86,1216122,326_0,COMPLETED,BOTORCH_MODULAR,53.630000000000002557953848736361,264.158999999999991814547684043646,20,0.001000000000000000020816681712,139,4096,0.5,1,80,4
327,1762264896,20,2dea3aba-4ba9-4571-9519-13628c704362,1762264916,1762265149,233,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00010098870000280678 --batch_size 949 --hidden_size 2877 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c38,1216118,327_0,COMPLETED,BOTORCH_MODULAR,35.619999999999997442046151263639,228.368999999999999772626324556768,20,0.000100988700002806780129348263,949,2877,0.5,2,80,7
328,1762264896,291,2dea3aba-4ba9-4571-9519-13628c704362,1762265187,1762265508,321,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00100000000000000002 --batch_size 154 --hidden_size 4057 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c143,1216132,328_0,COMPLETED,BOTORCH_MODULAR,55.740000000000001989519660128281,317.146999999999991359800333157182,24,0.001000000000000000020816681712,154,4057,0.5,1,80,4
329,1762264896,50,2dea3aba-4ba9-4571-9519-13628c704362,1762264946,1762265180,234,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00032049856829135501 --batch_size 947 --hidden_size 2598 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c126,1216121,329_0,COMPLETED,BOTORCH_MODULAR,48.759999999999998010480339871719,226.967999999999989313437254168093,20,0.000320498568291355007565252011,947,2598,0,2,80,7
330,1762264896,261,2dea3aba-4ba9-4571-9519-13628c704362,1762265157,1762265425,268,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00023584346515899079 --batch_size 955 --hidden_size 2532 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c6,1216131,330_0,COMPLETED,BOTORCH_MODULAR,43.8999999999999985789145284798,261.771000000000015006662579253316,20,0.000235843465158990791630602701,955,2532,0.5,2,80,7
331,1762264896,261,2dea3aba-4ba9-4571-9519-13628c704362,1762265157,1762265497,340,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.00055315956131335269 --batch_size 175 --hidden_size 3234 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c38,1216130,331_0,COMPLETED,BOTORCH_MODULAR,57.46999999999999886313162278384,333.485999999999989995558280497789,28,0.000553159561313352685085753535,175,3234,0,1,80,4
332,1762264896,171,2dea3aba-4ba9-4571-9519-13628c704362,1762265067,1762265420,353,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.00064845474853324734 --batch_size 152 --hidden_size 3319 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c29,1216127,332_0,COMPLETED,BOTORCH_MODULAR,57.020000000000003126388037344441,349.036000000000001364242052659392,28,0.000648454748533247343940388863,152,3319,0.5,1,80,4
333,1762264896,116,2dea3aba-4ba9-4571-9519-13628c704362,1762265012,1762265249,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 939 --hidden_size 2959 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c95,1216126,333_0,COMPLETED,BOTORCH_MODULAR,35.619999999999997442046151263639,228.444999999999993178789736703038,20,0.000100000000000000004792173602,939,2959,0.5,2,80,7
334,1762264896,116,2dea3aba-4ba9-4571-9519-13628c704362,1762265012,1762265343,331,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00068829403831605475 --batch_size 169 --hidden_size 3224 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c95,1216125,334_0,COMPLETED,BOTORCH_MODULAR,57.85999999999999943156581139192,324.572999999999979081621859222651,26,0.000688294038316054749594707918,169,3224,0,1,80,4
335,1762264896,291,2dea3aba-4ba9-4571-9519-13628c704362,1762265187,1762265520,333,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 25 --learning_rate 0.00100000000000000002 --batch_size 116 --hidden_size 3942 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c140,1216133,335_0,COMPLETED,BOTORCH_MODULAR,57.03999999999999914734871708788,325.399000000000000909494701772928,25,0.001000000000000000020816681712,116,3942,0.5,1,80,4
336,1762264897,260,2dea3aba-4ba9-4571-9519-13628c704362,1762265157,1762265549,392,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00076158637108935333 --batch_size 151 --hidden_size 3719 --dropout 0.5 --num_dense_layers 1 --filter 71 --num_conv_layers 4,0,,c75,1216129,336_0,COMPLETED,BOTORCH_MODULAR,57.259999999999998010480339871719,386.898000000000024556356947869062,30,0.000761586371089353333582727679,151,3719,0.5,1,71,4
337,1762264903,284,2dea3aba-4ba9-4571-9519-13628c704362,1762265187,1762265412,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00032890803780522904 --batch_size 772 --hidden_size 2545 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c133,1216134,337_0,COMPLETED,BOTORCH_MODULAR,47.82999999999999829469743417576,221.647999999999996134647517465055,20,0.000328908037805229042614685309,772,2545,0.5,2,80,7
338,1762264908,279,2dea3aba-4ba9-4571-9519-13628c704362,1762265187,1762265412,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 933 --hidden_size 2506 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c126,1216135,338_0,COMPLETED,BOTORCH_MODULAR,33.700000000000002842170943040401,218.259999999999990905052982270718,20,0.000100000000000000004792173602,933,2506,0.5,2,80,7
339,1762264917,270,2dea3aba-4ba9-4571-9519-13628c704362,1762265187,1762265418,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00013009574241094326 --batch_size 946 --hidden_size 2531 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c78,1216136,339_0,COMPLETED,BOTORCH_MODULAR,37.6000000000000014210854715202,223.92400000000000659383658785373,20,0.000130095742410943262384881436,946,2531,0.5,2,80,7
340,1762266805,324,2dea3aba-4ba9-4571-9519-13628c704362,1762267129,1762267504,375,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00070131526529259246 --batch_size 152 --hidden_size 2806 --dropout 0 --num_dense_layers 1 --filter 65 --num_conv_layers 7,0,,c92,1216185,340_0,COMPLETED,BOTORCH_MODULAR,55.159999999999996589394868351519,332.644999999999981810105964541435,20,0.000701315265292592462595400171,152,2806,0,1,65,7
341,1762266804,67,2dea3aba-4ba9-4571-9519-13628c704362,1762266871,1762267292,421,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00074037831656401012 --batch_size 191 --hidden_size 2590 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c134,1216178,341_0,COMPLETED,BOTORCH_MODULAR,55.71000000000000085265128291212,414.713999999999998635757947340608,20,0.0007403783165640101179838517,191,2590,0,1,80,7
342,1762266804,8,2dea3aba-4ba9-4571-9519-13628c704362,1762266812,1762267232,420,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00074144588407009434 --batch_size 223 --hidden_size 2678 --dropout 0 --num_dense_layers 1 --filter 73 --num_conv_layers 7,0,,c44,1216176,342_0,COMPLETED,BOTORCH_MODULAR,53.6499999999999985789145284798,413.434000000000025920599000528455,20,0.000741445884070094339557410734,223,2678,0,1,73,7
343,1762266804,283,2dea3aba-4ba9-4571-9519-13628c704362,1762267087,1762267447,360,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00069266725208758085 --batch_size 712 --hidden_size 2637 --dropout 0 --num_dense_layers 1 --filter 63 --num_conv_layers 7,0,,c126,1216183,343_0,COMPLETED,BOTORCH_MODULAR,51.299999999999997157829056959599,226.206999999999993633537087589502,20,0.000692667252087580845136549623,712,2637,0,1,63,7
344,1762266805,412,2dea3aba-4ba9-4571-9519-13628c704362,1762267217,1762267488,271,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 23 --learning_rate 0.00074005156333139177 --batch_size 835 --hidden_size 2515 --dropout 0 --num_dense_layers 1 --filter 72 --num_conv_layers 7,0,,c32,1216190,344_0,COMPLETED,BOTORCH_MODULAR,53.3500000000000014210854715202,259.456000000000017280399333685637,23,0.000740051563331391767247557922,835,2515,0,1,72,7
345,1762266804,37,2dea3aba-4ba9-4571-9519-13628c704362,1762266841,1762267291,450,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.000701142598751906 --batch_size 83 --hidden_size 2802 --dropout 0 --num_dense_layers 1 --filter 67 --num_conv_layers 7,0,,c53,1216177,345_0,COMPLETED,BOTORCH_MODULAR,54.509999999999998010480339871719,443.259999999999990905052982270718,20,0.000701142598751905996370958896,83,2802,0,1,67,7
346,1762266804,313,2dea3aba-4ba9-4571-9519-13628c704362,1762267117,1762268065,948,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 50 --learning_rate 0.00074673904527962354 --batch_size 679 --hidden_size 2540 --dropout 0 --num_dense_layers 2 --filter 72 --num_conv_layers 7,0,,c86,1216187,346_0,COMPLETED,BOTORCH_MODULAR,56.200000000000002842170943040401,536.990000000000009094947017729282,50,0.000746739045279623536721658184,679,2540,0,2,72,7
347,1762266804,7,2dea3aba-4ba9-4571-9519-13628c704362,1762266811,1762267053,242,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00071058021847249643 --batch_size 836 --hidden_size 2726 --dropout 0 --num_dense_layers 2 --filter 62 --num_conv_layers 7,0,,c47,1216175,347_0,COMPLETED,BOTORCH_MODULAR,49.520000000000003126388037344441,236.919000000000011141310096718371,20,0.000710580218472496431304785691,836,2726,0,2,62,7
348,1762266804,67,2dea3aba-4ba9-4571-9519-13628c704362,1762266871,1762268065,1194,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 45 --learning_rate 0.00072611816981374172 --batch_size 642 --hidden_size 2619 --dropout 0 --num_dense_layers 1 --filter 66 --num_conv_layers 7,0,,c51,1216179,348_0,COMPLETED,BOTORCH_MODULAR,57.259999999999998010480339871719,799.644000000000005456968210637569,45,0.000726118169813741724978595204,642,2619,0,1,66,7
349,1762266805,258,2dea3aba-4ba9-4571-9519-13628c704362,1762267063,1762267587,524,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.0006920255522284757 --batch_size 164 --hidden_size 619 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c46,1216180,349_0,COMPLETED,BOTORCH_MODULAR,54.57000000000000028421709430404,368.185999999999978626874508336186,28,0.000692025552228475704895360732,164,619,0.5,2,80,7
350,1762266805,313,2dea3aba-4ba9-4571-9519-13628c704362,1762267118,1762267479,361,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00066300227443228223 --batch_size 152 --hidden_size 1922 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c87,1216186,350_0,COMPLETED,BOTORCH_MODULAR,56.75,256.935000000000002273736754432321,20,0.000663002274432282229926771677,152,1922,0.5,1,80,7
351,1762266805,258,2dea3aba-4ba9-4571-9519-13628c704362,1762267063,1762267472,409,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00066583551820404601 --batch_size 162 --hidden_size 619 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c93,1216181,351_0,COMPLETED,BOTORCH_MODULAR,52.35999999999999943156581139192,254.338999999999998635757947340608,20,0.000665835518204046009592411703,162,619,0.5,2,80,7
352,1762266805,312,2dea3aba-4ba9-4571-9519-13628c704362,1762267117,1762267440,323,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 407 --hidden_size 23 --dropout 0 --num_dense_layers 2 --filter 4 --num_conv_layers 4,0,,c148,1216182,352_0,COMPLETED,BOTORCH_MODULAR,3.290000000000000035527136788005,218.614000000000004320099833421409,20,0.000100000000000000004792173602,407,23,0,2,4,4
353,1762266804,313,2dea3aba-4ba9-4571-9519-13628c704362,1762267117,1762267472,355,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00072748265662980532 --batch_size 208 --hidden_size 2600 --dropout 0 --num_dense_layers 1 --filter 76 --num_conv_layers 7,0,,c80,1216188,353_0,COMPLETED,BOTORCH_MODULAR,55.240000000000001989519660128281,254.331999999999993633537087589502,20,0.00072748265662980532344356055,208,2600,0,1,76,7
354,1762266805,282,2dea3aba-4ba9-4571-9519-13628c704362,1762267087,1762267453,366,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00068505015199246048 --batch_size 447 --hidden_size 2662 --dropout 0 --num_dense_layers 1 --filter 65 --num_conv_layers 7,0,,c114,1216184,354_0,COMPLETED,BOTORCH_MODULAR,51.509999999999998010480339871719,235.044000000000011141310096718371,20,0.000685050151992460483116320624,447,2662,0,1,65,7
355,1762266805,312,2dea3aba-4ba9-4571-9519-13628c704362,1762267117,1762267480,363,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067446509209823286 --batch_size 149 --hidden_size 614 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c73,1216189,355_0,COMPLETED,BOTORCH_MODULAR,53.729999999999996873611962655559,322.963000000000022282620193436742,20,0.000674465092098232863251916491,149,614,0.5,2,80,7
356,1762266806,311,2dea3aba-4ba9-4571-9519-13628c704362,1762267117,1762267505,388,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00065992215004667231 --batch_size 97 --hidden_size 579 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c21,1216191,356_0,COMPLETED,BOTORCH_MODULAR,51.3500000000000014210854715202,286.175999999999987721821526065469,20,0.000659922150046672313476736615,97,579,0.5,2,80,7
357,1762266806,377,2dea3aba-4ba9-4571-9519-13628c704362,1762267183,1762267485,302,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067730581982708459 --batch_size 153 --hidden_size 2036 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c30,1216192,357_0,COMPLETED,BOTORCH_MODULAR,54.299999999999997157829056959599,260.331999999999993633537087589502,20,0.000677305819827084590843691014,153,2036,0.5,1,80,7
358,1762266806,431,2dea3aba-4ba9-4571-9519-13628c704362,1762267237,1762267468,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067742027881275921 --batch_size 282 --hidden_size 2828 --dropout 0 --num_dense_layers 1 --filter 62 --num_conv_layers 7,0,,c128,1216193,358_0,COMPLETED,BOTORCH_MODULAR,53.78999999999999914734871708788,227.973000000000013187673175707459,20,0.000677420278812759205262772344,282,2828,0,1,62,7
359,1762266811,426,2dea3aba-4ba9-4571-9519-13628c704362,1762267237,1762267492,255,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00065772930125308825 --batch_size 206 --hidden_size 1768 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c71,1216194,359_0,COMPLETED,BOTORCH_MODULAR,56.619999999999997442046151263639,250.941000000000002501110429875553,20,0.000657729301253088247981859471,206,1768,0.5,1,80,7
360,1762270059,603,2dea3aba-4ba9-4571-9519-13628c704362,1762270662,1762270996,334,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 31 --learning_rate 0.0001 --batch_size 836 --hidden_size 4063 --dropout 0.48087708420346569893 --num_dense_layers 2 --filter 45 --num_conv_layers 4,0,,c106,1216313,360_0,COMPLETED,BOTORCH_MODULAR,42.35999999999999943156581139192,329.959000000000003183231456205249,31,0.000100000000000000004792173602,836,4063,0.480877084203465698930557437052,2,45,4
361,1762270059,656,2dea3aba-4ba9-4571-9519-13628c704362,1762270715,1762271085,370,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 33 --learning_rate 0.0001 --batch_size 743 --hidden_size 685 --dropout 0.5 --num_dense_layers 2 --filter 66 --num_conv_layers 4,0,,c46,1216322,361_0,COMPLETED,BOTORCH_MODULAR,31.3999999999999985789145284798,362.75,33,0.000100000000000000004792173602,743,685,0.5,2,66,4
362,1762270059,583,2dea3aba-4ba9-4571-9519-13628c704362,1762270642,1762270998,356,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.0001 --batch_size 829 --hidden_size 1635 --dropout 0.5 --num_dense_layers 2 --filter 79 --num_conv_layers 4,0,,c47,1216312,362_0,COMPLETED,BOTORCH_MODULAR,39.119999999999997442046151263639,348.798000000000001818989403545856,32,0.000100000000000000004792173602,829,1635,0.5,2,79,4
363,1762270059,656,2dea3aba-4ba9-4571-9519-13628c704362,1762270715,1762271041,326,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.0001 --batch_size 885 --hidden_size 588 --dropout 0.4328219031981349052 --num_dense_layers 2 --filter 65 --num_conv_layers 4,0,,c133,1216320,363_0,COMPLETED,BOTORCH_MODULAR,31.26000000000000156319401867222,323.209999999999979536369210109115,30,0.000100000000000000004792173602,885,588,0.432821903198134905199623290173,2,65,4
364,1762270059,623,2dea3aba-4ba9-4571-9519-13628c704362,1762270682,1762271028,346,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.0001 --batch_size 814 --hidden_size 2012 --dropout 0.5 --num_dense_layers 2 --filter 56 --num_conv_layers 4,0,,c134,1216314,364_0,COMPLETED,BOTORCH_MODULAR,38.700000000000002842170943040401,338.307000000000016370904631912708,32,0.000100000000000000004792173602,814,2012,0.5,2,56,4
365,1762270059,1312,2dea3aba-4ba9-4571-9519-13628c704362,1762271371,1762271728,357,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 33 --learning_rate 0.00011726528796437591 --batch_size 738 --hidden_size 589 --dropout 0.5 --num_dense_layers 2 --filter 42 --num_conv_layers 4,0,,c151,1216325,365_0,COMPLETED,BOTORCH_MODULAR,28.1999999999999992894572642399,350.815999999999974079400999471545,33,0.000117265287964375905798049271,738,589,0.5,2,42,4
366,1762270059,663,2dea3aba-4ba9-4571-9519-13628c704362,1762270722,1762271060,338,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 31 --learning_rate 0.00016765881911455036 --batch_size 753 --hidden_size 3172 --dropout 0.5 --num_dense_layers 2 --filter 56 --num_conv_layers 4,0,,c36,1216324,366_0,COMPLETED,BOTORCH_MODULAR,46.700000000000002842170943040401,331.194000000000016825651982799172,31,0.000167658819114550357428847227,753,3172,0.5,2,56,4
367,1762270059,1312,2dea3aba-4ba9-4571-9519-13628c704362,1762271371,1762271696,325,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.0001 --batch_size 876 --hidden_size 3284 --dropout 0.46446363066778723061 --num_dense_layers 2 --filter 46 --num_conv_layers 4,0,,c126,1216327,367_0,COMPLETED,BOTORCH_MODULAR,39.240000000000001989519660128281,316.336999999999989086063578724861,30,0.000100000000000000004792173602,876,3284,0.464463630667787230610343840453,2,46,4
368,1762270059,623,2dea3aba-4ba9-4571-9519-13628c704362,1762270682,1762271030,348,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 31 --learning_rate 0.0001 --batch_size 818 --hidden_size 643 --dropout 0.48920779007989007026 --num_dense_layers 2 --filter 74 --num_conv_layers 4,0,,c114,1216315,368_0,COMPLETED,BOTORCH_MODULAR,30.23999999999999843680598132778,342.692000000000007275957614183426,31,0.000100000000000000004792173602,818,643,0.489207790079890070256141143545,2,74,4
369,1762270059,643,2dea3aba-4ba9-4571-9519-13628c704362,1762270702,1762271060,358,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.0001 --batch_size 836 --hidden_size 793 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c116,1216317,369_0,COMPLETED,BOTORCH_MODULAR,32.159999999999996589394868351519,349.552999999999997271515894681215,32,0.000100000000000000004792173602,836,793,0.5,2,80,4
370,1762270059,656,2dea3aba-4ba9-4571-9519-13628c704362,1762270715,1762271048,333,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00011240378371080692 --batch_size 798 --hidden_size 3179 --dropout 0.48563051235553406082 --num_dense_layers 2 --filter 47 --num_conv_layers 4,0,,c126,1216321,370_0,COMPLETED,BOTORCH_MODULAR,41.6000000000000014210854715202,328.845000000000027284841053187847,30,0.000112403783710806918160439449,798,3179,0.485630512355534060819906017059,2,47,4
371,1762270059,643,2dea3aba-4ba9-4571-9519-13628c704362,1762270702,1762271035,333,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.0001 --batch_size 768 --hidden_size 3761 --dropout 0.48289209653340320338 --num_dense_layers 2 --filter 47 --num_conv_layers 4,0,,c135,1216316,371_0,COMPLETED,BOTORCH_MODULAR,41.3500000000000014210854715202,326.310000000000002273736754432321,30,0.000100000000000000004792173602,768,3761,0.482892096533403203384438029389,2,47,4
372,1762270059,643,2dea3aba-4ba9-4571-9519-13628c704362,1762270702,1762271042,340,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.0001 --batch_size 798 --hidden_size 463 --dropout 0.5 --num_dense_layers 2 --filter 60 --num_conv_layers 4,0,,c29,1216318,372_0,COMPLETED,BOTORCH_MODULAR,24.92999999999999971578290569596,335.324999999999988631316227838397,32,0.000100000000000000004792173602,798,463,0.5,2,60,4
373,1762270059,1313,2dea3aba-4ba9-4571-9519-13628c704362,1762271372,1762271734,362,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 33 --learning_rate 0.0001 --batch_size 748 --hidden_size 3351 --dropout 0.5 --num_dense_layers 2 --filter 42 --num_conv_layers 4,0,,c148,1216326,373_0,COMPLETED,BOTORCH_MODULAR,39.92000000000000170530256582424,358.069000000000016825651982799172,33,0.000100000000000000004792173602,748,3351,0.5,2,42,4
374,1762270059,656,2dea3aba-4ba9-4571-9519-13628c704362,1762270715,1762271054,339,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.00018466162757735014 --batch_size 694 --hidden_size 2403 --dropout 0.5 --num_dense_layers 2 --filter 28 --num_conv_layers 4,0,,c152,1216319,374_0,COMPLETED,BOTORCH_MODULAR,39.810000000000002273736754432321,330.682000000000016370904631912708,32,0.000184661627577350139980949528,694,2403,0.5,2,28,4
375,1762270059,656,2dea3aba-4ba9-4571-9519-13628c704362,1762270715,1762271029,314,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00018087515232446052 --batch_size 827 --hidden_size 2050 --dropout 0.47071048868891174344 --num_dense_layers 2 --filter 50 --num_conv_layers 4,0,,c30,1216323,375_0,COMPLETED,BOTORCH_MODULAR,43.560000000000002273736754432321,310.833000000000026830093702301383,30,0.00018087515232446051854399427,827,2050,0.470710488688911743437870427442,2,50,4
376,1762270066,1305,2dea3aba-4ba9-4571-9519-13628c704362,1762271371,1762271730,359,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.0001 --batch_size 815 --hidden_size 1718 --dropout 0.5 --num_dense_layers 2 --filter 77 --num_conv_layers 4,0,,c13,1216328,376_0,COMPLETED,BOTORCH_MODULAR,39.89000000000000056843418860808,354.461000000000012732925824820995,32,0.000100000000000000004792173602,815,1718,0.5,2,77,4
377,1762270066,1311,2dea3aba-4ba9-4571-9519-13628c704362,1762271377,1762271707,330,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.0001 --batch_size 934 --hidden_size 4034 --dropout 0.41773329689410859666 --num_dense_layers 2 --filter 52 --num_conv_layers 4,0,,c114,1216329,377_0,COMPLETED,BOTORCH_MODULAR,43.17000000000000170530256582424,325.321000000000026375346351414919,30,0.000100000000000000004792173602,934,4034,0.417733296894108596664096921813,2,52,4
378,1762270066,1311,2dea3aba-4ba9-4571-9519-13628c704362,1762271377,1762271709,332,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 31 --learning_rate 0.0001 --batch_size 830 --hidden_size 448 --dropout 0.48862507063224436266 --num_dense_layers 2 --filter 57 --num_conv_layers 4,0,,c34,1216330,378_0,COMPLETED,BOTORCH_MODULAR,26.17000000000000170530256582424,324.800999999999987721821526065469,31,0.000100000000000000004792173602,830,448,0.488625070632244362656138036982,2,57,4
379,1762270070,1322,2dea3aba-4ba9-4571-9519-13628c704362,1762271392,1762271741,349,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.0001 --batch_size 729 --hidden_size 3950 --dropout 0.5 --num_dense_layers 2 --filter 40 --num_conv_layers 4,0,,c149,1216331,379_0,COMPLETED,BOTORCH_MODULAR,41.39000000000000056843418860808,340.117999999999994997779140248895,32,0.000100000000000000004792173602,729,3950,0.5,2,40,4
380,1762273419,902,2dea3aba-4ba9-4571-9519-13628c704362,1762274321,1762274547,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00088700875852793415 --batch_size 783 --hidden_size 863 --dropout 0.28576645534440936469 --num_dense_layers 2 --filter 50 --num_conv_layers 5,0,,c71,1216530,380_0,COMPLETED,BOTORCH_MODULAR,49.57000000000000028421709430404,220.162000000000006139089236967266,20,0.000887008758527934150842075844,783,863,0.28576645534440936469167127143,2,50,5
381,1762273418,753,2dea3aba-4ba9-4571-9519-13628c704362,1762274171,1762274384,213,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00018422731634690884 --batch_size 300 --hidden_size 2901 --dropout 0 --num_dense_layers 1 --filter 4 --num_conv_layers 4,0,,c43,1216516,381_0,COMPLETED,BOTORCH_MODULAR,25.0500000000000007105427357601,209.860999999999989995558280497789,20,0.000184227316346908842918314586,300,2901,0,1,4,4
382,1762273418,906,2dea3aba-4ba9-4571-9519-13628c704362,1762274324,1762274563,239,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00082939094760568787 --batch_size 808 --hidden_size 1031 --dropout 0.28214105562928504245 --num_dense_layers 2 --filter 53 --num_conv_layers 5,0,,c145,1216528,382_0,COMPLETED,BOTORCH_MODULAR,49.92000000000000170530256582424,225.758999999999986130205797962844,20,0.000829390947605687873026014678,808,1031,0.282141055629285042449794218555,2,53,5
383,1762273418,813,2dea3aba-4ba9-4571-9519-13628c704362,1762274231,1762274470,239,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00072221995726563305 --batch_size 781 --hidden_size 2084 --dropout 0.28292443390399441006 --num_dense_layers 2 --filter 45 --num_conv_layers 5,0,,c53,1216524,383_0,COMPLETED,BOTORCH_MODULAR,48.729999999999996873611962655559,231.981999999999999317878973670304,20,0.000722219957265633045150055036,781,2084,0.282924433903994410055560138062,2,45,5
384,1762273417,784,2dea3aba-4ba9-4571-9519-13628c704362,1762274201,1762274415,214,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00044898050120756018 --batch_size 315 --hidden_size 2378 --dropout 0 --num_dense_layers 1 --filter 13 --num_conv_layers 4,0,,c85,1216519,384_0,COMPLETED,BOTORCH_MODULAR,42.659999999999996589394868351519,209.884999999999990905052982270718,20,0.000448980501207560183610928428,315,2378,0,1,13,4
385,1762273417,784,2dea3aba-4ba9-4571-9519-13628c704362,1762274201,1762274428,227,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00071671637350025357 --batch_size 818 --hidden_size 2872 --dropout 0.27212000756265752877 --num_dense_layers 2 --filter 64 --num_conv_layers 5,0,,c152,1216517,385_0,COMPLETED,BOTORCH_MODULAR,53.60999999999999943156581139192,219.301999999999992496668710373342,20,0.000716716373500253566344864176,818,2872,0.272120007562657528765726056008,2,64,5
386,1762273417,754,2dea3aba-4ba9-4571-9519-13628c704362,1762274171,1762274392,221,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00048575958519766593 --batch_size 307 --hidden_size 2206 --dropout 0 --num_dense_layers 1 --filter 17 --num_conv_layers 4,0,,c75,1216514,386_0,COMPLETED,BOTORCH_MODULAR,44.340000000000003410605131648481,213.195999999999997953636921010911,20,0.000485759585197665928572863248,307,2206,0,1,17,4
387,1762273419,813,2dea3aba-4ba9-4571-9519-13628c704362,1762274232,1762274453,221,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00073043380470287828 --batch_size 767 --hidden_size 2141 --dropout 0.2784319537091391461 --num_dense_layers 2 --filter 45 --num_conv_layers 5,0,,c114,1216523,387_0,COMPLETED,BOTORCH_MODULAR,51.159999999999996589394868351519,213.651999999999986812326824292541,20,0.000730433804702878284112466112,767,2141,0.278431953709139146102558015627,2,45,5
388,1762273418,813,2dea3aba-4ba9-4571-9519-13628c704362,1762274231,1762274484,253,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00079890221755412108 --batch_size 795 --hidden_size 1056 --dropout 0.28512525323822374146 --num_dense_layers 2 --filter 52 --num_conv_layers 5,0,,c141,1216521,388_0,COMPLETED,BOTORCH_MODULAR,50.1000000000000014210854715202,243.746000000000009322320693172514,20,0.000798902217554121082780660412,795,1056,0.285125253238223741458767790391,2,52,5
389,1762273418,813,2dea3aba-4ba9-4571-9519-13628c704362,1762274231,1762274464,233,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00079804277247286356 --batch_size 805 --hidden_size 1083 --dropout 0.28542151275428989665 --num_dense_layers 2 --filter 51 --num_conv_layers 5,0,,c50,1216525,389_0,COMPLETED,BOTORCH_MODULAR,50.619999999999997442046151263639,227.901000000000010459189070388675,20,0.000798042772472863561755707096,805,1083,0.28542151275428989665172707646,2,51,5
390,1762273418,753,2dea3aba-4ba9-4571-9519-13628c704362,1762274171,1762274396,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00069050828076124059 --batch_size 814 --hidden_size 2991 --dropout 0.27196975779202797741 --num_dense_layers 2 --filter 61 --num_conv_layers 5,0,,c48,1216515,390_0,COMPLETED,BOTORCH_MODULAR,54.1000000000000014210854715202,220.941000000000002501110429875553,20,0.000690508280761240587387883583,814,2991,0.271969757792027977405524552523,2,61,5
391,1762273418,783,2dea3aba-4ba9-4571-9519-13628c704362,1762274201,1762274434,233,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00080442381959261878 --batch_size 783 --hidden_size 1053 --dropout 0.28719952179920926749 --num_dense_layers 2 --filter 50 --num_conv_layers 5,0,,c119,1216518,391_0,COMPLETED,BOTORCH_MODULAR,50.53999999999999914734871708788,224.093999999999994088284438475966,20,0.000804423819592618781319781629,783,1053,0.28719952179920926749190357441,2,50,5
392,1762273417,754,2dea3aba-4ba9-4571-9519-13628c704362,1762274171,1762274384,213,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00051338351007339819 --batch_size 303 --hidden_size 2354 --dropout 0 --num_dense_layers 1 --filter 4 --num_conv_layers 4,0,,c84,1216513,392_0,COMPLETED,BOTORCH_MODULAR,28.26000000000000156319401867222,204.955000000000012505552149377763,20,0.000513383510073398192409543928,303,2354,0,1,4,4
393,1762273419,812,2dea3aba-4ba9-4571-9519-13628c704362,1762274231,1762274481,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00072184295669046621 --batch_size 780 --hidden_size 2100 --dropout 0.28038393460685723246 --num_dense_layers 2 --filter 45 --num_conv_layers 5,0,,c133,1216522,393_0,COMPLETED,BOTORCH_MODULAR,50.96000000000000085265128291212,240.153999999999996362021192908287,20,0.000721842956690466205048328785,780,2100,0.280383934606857232463283935431,2,45,5
394,1762273418,813,2dea3aba-4ba9-4571-9519-13628c704362,1762274231,1762274459,228,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00073937185452951101 --batch_size 797 --hidden_size 2342 --dropout 0.28034072668536841322 --num_dense_layers 2 --filter 53 --num_conv_layers 5,0,,c143,1216520,394_0,COMPLETED,BOTORCH_MODULAR,52.85999999999999943156581139192,218.71999999999999886313162278384,20,0.00073937185452951101425483893,797,2342,0.280340726685368413217958050154,2,53,5
395,1762273418,873,2dea3aba-4ba9-4571-9519-13628c704362,1762274291,1762274512,221,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00080437057278621603 --batch_size 791 --hidden_size 3719 --dropout 0.27960335981228889857 --num_dense_layers 2 --filter 56 --num_conv_layers 4,0,,c111,1216529,395_0,COMPLETED,BOTORCH_MODULAR,47.700000000000002842170943040401,214.995000000000004547473508864641,20,0.000804370572786216025268357654,791,3719,0.279603359812288898567089745484,2,56,4
396,1762273420,872,2dea3aba-4ba9-4571-9519-13628c704362,1762274292,1762274523,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00072500574982308093 --batch_size 758 --hidden_size 2141 --dropout 0.28485083779791980918 --num_dense_layers 2 --filter 48 --num_conv_layers 5,0,,c151,1216527,396_0,COMPLETED,BOTORCH_MODULAR,51.42000000000000170530256582424,225.326999999999998181010596454144,20,0.000725005749823080932955909894,758,2141,0.284850837797919809180058337006,2,48,5
397,1762273420,811,2dea3aba-4ba9-4571-9519-13628c704362,1762274231,1762274476,245,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00087170492912641312 --batch_size 743 --hidden_size 3976 --dropout 0.2844931563120378093 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c44,1216526,397_0,COMPLETED,BOTORCH_MODULAR,49.03999999999999914734871708788,235.14099999999999113242665771395,20,0.000871704929126413123781358383,743,3976,0.284493156312037809296811019522,2,55,4
398,1762273420,902,2dea3aba-4ba9-4571-9519-13628c704362,1762274322,1762274553,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00062704614782903311 --batch_size 331 --hidden_size 979 --dropout 0 --num_dense_layers 1 --filter 24 --num_conv_layers 4,0,,c21,1216531,398_0,COMPLETED,BOTORCH_MODULAR,47.090000000000003410605131648481,221.372999999999990450305631384254,20,0.000627046147829033112888752477,331,979,0,1,24,4
399,1762273425,898,2dea3aba-4ba9-4571-9519-13628c704362,1762274323,1762274563,240,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00079302420690728734 --batch_size 799 --hidden_size 1052 --dropout 0.2873638546042637798 --num_dense_layers 2 --filter 53 --num_conv_layers 5,0,,c17,1216532,399_0,COMPLETED,BOTORCH_MODULAR,49.92000000000000170530256582424,224.199000000000012278178473934531,20,0.000793024206907287339610168608,799,1052,0.287363854604263779801698319716,2,53,5
400,1762276874,282,2dea3aba-4ba9-4571-9519-13628c704362,1762277156,1762277387,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00040495106802810704 --batch_size 243 --hidden_size 396 --dropout 0.5 --num_dense_layers 1 --filter 23 --num_conv_layers 4,0,,c90,1216685,400_0,COMPLETED,BOTORCH_MODULAR,35.659999999999996589394868351519,223.237999999999999545252649113536,20,0.000404951068028107038793833583,243,396,0.5,1,23,4
401,1762276875,400,2dea3aba-4ba9-4571-9519-13628c704362,1762277275,1762277503,228,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 228 --hidden_size 1336 --dropout 0.5 --num_dense_layers 1 --filter 14 --num_conv_layers 4,0,,c29,1216697,401_0,COMPLETED,BOTORCH_MODULAR,28.21999999999999886313162278384,219.586999999999989086063578724861,20,0.000100000000000000004792173602,228,1336,0.5,1,14,4
402,1762276875,280,2dea3aba-4ba9-4571-9519-13628c704362,1762277155,1762277438,283,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 23 --learning_rate 0.00070119464565534097 --batch_size 149 --hidden_size 474 --dropout 0 --num_dense_layers 1 --filter 56 --num_conv_layers 7,0,,c79,1216687,402_0,COMPLETED,BOTORCH_MODULAR,54.950000000000002842170943040401,280.437000000000011823431123048067,23,0.000701194645655340968205815333,149,474,0,1,56,7
403,1762276875,370,2dea3aba-4ba9-4571-9519-13628c704362,1762277245,1762277881,636,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 57 --learning_rate 0.00068587558123189797 --batch_size 633 --hidden_size 3049 --dropout 0 --num_dense_layers 2 --filter 68 --num_conv_layers 6,0,,c26,1216696,403_0,COMPLETED,BOTORCH_MODULAR,55.8500000000000014210854715202,628.90099999999995361577020958066,57,0.000685875581231897967632304969,633,3049,0,2,68,6
404,1762276874,281,2dea3aba-4ba9-4571-9519-13628c704362,1762277155,1762277387,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00064979360121688321 --batch_size 187 --hidden_size 2138 --dropout 0 --num_dense_layers 1 --filter 43 --num_conv_layers 4,0,,c44,1216688,404_0,COMPLETED,BOTORCH_MODULAR,53.299999999999997157829056959599,227.973999999999989540810929611325,20,0.000649793601216883207755126151,187,2138,0,1,43,4
405,1762276875,370,2dea3aba-4ba9-4571-9519-13628c704362,1762277245,1762277463,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 229 --hidden_size 2313 --dropout 0.5 --num_dense_layers 1 --filter 9 --num_conv_layers 4,0,,c88,1216695,405_0,COMPLETED,BOTORCH_MODULAR,27.3000000000000007105427357601,213.429000000000002046363078989089,20,0.000100000000000000004792173602,229,2313,0.5,1,9,4
406,1762276874,286,2dea3aba-4ba9-4571-9519-13628c704362,1762277160,1762277380,220,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00041395112603344867 --batch_size 244 --hidden_size 419 --dropout 0.5 --num_dense_layers 1 --filter 21 --num_conv_layers 4,0,,c79,1216686,406_0,COMPLETED,BOTORCH_MODULAR,36.520000000000003126388037344441,214.966000000000008185452315956354,20,0.000413951126033448673063180889,244,419,0.5,1,21,4
407,1762276875,310,2dea3aba-4ba9-4571-9519-13628c704362,1762277185,1762277481,296,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00064860192089216532 --batch_size 163 --hidden_size 518 --dropout 0 --num_dense_layers 1 --filter 76 --num_conv_layers 6,0,,c114,1216690,407_0,COMPLETED,BOTORCH_MODULAR,56.840000000000003410605131648481,288.384000000000014551915228366852,24,0.000648601920892165318376088035,163,518,0,1,76,6
408,1762276876,339,2dea3aba-4ba9-4571-9519-13628c704362,1762277215,1762277535,320,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00065411810686620032 --batch_size 147 --hidden_size 2155 --dropout 0 --num_dense_layers 1 --filter 51 --num_conv_layers 4,0,,c88,1216692,408_0,COMPLETED,BOTORCH_MODULAR,55.840000000000003410605131648481,316.879000000000019099388737231493,26,0.00065411810686620032451177309,147,2155,0,1,51,4
409,1762276875,431,2dea3aba-4ba9-4571-9519-13628c704362,1762277306,1762277662,356,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00067379887793325916 --batch_size 191 --hidden_size 2252 --dropout 0 --num_dense_layers 1 --filter 49 --num_conv_layers 4,0,,c26,1216698,409_0,COMPLETED,BOTORCH_MODULAR,56.060000000000002273736754432321,347.776999999999986812326824292541,30,0.000673798877933259160975809632,191,2252,0,1,49,4
410,1762276875,345,2dea3aba-4ba9-4571-9519-13628c704362,1762277220,1762277511,291,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 25 --learning_rate 0.00076424543360177947 --batch_size 290 --hidden_size 368 --dropout 0 --num_dense_layers 1 --filter 53 --num_conv_layers 7,0,,c27,1216694,410_0,COMPLETED,BOTORCH_MODULAR,52.67000000000000170530256582424,285.918999999999982719600666314363,25,0.000764245433601779466589731804,290,368,0,1,53,7
411,1762276875,310,2dea3aba-4ba9-4571-9519-13628c704362,1762277185,1762277638,453,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00064521963839750656 --batch_size 33 --hidden_size 2253 --dropout 0 --num_dense_layers 1 --filter 50 --num_conv_layers 4,0,,c41,1216691,411_0,COMPLETED,BOTORCH_MODULAR,54.880000000000002557953848736361,445.365999999999985448084771633148,24,0.000645219638397506560500982431,33,2253,0,1,50,4
412,1762276875,342,2dea3aba-4ba9-4571-9519-13628c704362,1762277217,1762277443,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 227 --hidden_size 1378 --dropout 0.5 --num_dense_layers 1 --filter 14 --num_conv_layers 4,0,,c145,1216689,412_0,COMPLETED,BOTORCH_MODULAR,29.16000000000000014210854715202,219.501000000000004774847184307873,20,0.000100000000000000004792173602,227,1378,0.5,1,14,4
413,1762276876,460,2dea3aba-4ba9-4571-9519-13628c704362,1762277336,1762277574,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00012567615673690421 --batch_size 199 --hidden_size 1911 --dropout 0.5 --num_dense_layers 1 --filter 5 --num_conv_layers 4,0,,c147,1216699,413_0,COMPLETED,BOTORCH_MODULAR,22.69000000000000127897692436818,229.551999999999992496668710373342,20,0.000125676156736904211285235644,199,1911,0.5,1,5,4
414,1762276879,457,2dea3aba-4ba9-4571-9519-13628c704362,1762277336,1762277618,282,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 23 --learning_rate 0.00064229719954208143 --batch_size 169 --hidden_size 2147 --dropout 0 --num_dense_layers 1 --filter 52 --num_conv_layers 4,0,,c46,1216701,414_0,COMPLETED,BOTORCH_MODULAR,54.71000000000000085265128291212,278.394999999999981810105964541435,23,0.000642297199542081432774298655,169,2147,0,1,52,4
415,1762276876,339,2dea3aba-4ba9-4571-9519-13628c704362,1762277215,1762277455,240,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00035396279598644715 --batch_size 251 --hidden_size 570 --dropout 0.5 --num_dense_layers 1 --filter 8 --num_conv_layers 4,0,,c27,1216693,415_0,COMPLETED,BOTORCH_MODULAR,29.26999999999999957367435854394,230.246000000000009322320693172514,20,0.000353962795986447148564174592,251,570,0.5,1,8,4
416,1762276876,460,2dea3aba-4ba9-4571-9519-13628c704362,1762277336,1762277639,303,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00067065627915945461 --batch_size 115 --hidden_size 2214 --dropout 0 --num_dense_layers 1 --filter 48 --num_conv_layers 4,0,,c130,1216700,416_0,COMPLETED,BOTORCH_MODULAR,55.42000000000000170530256582424,297.745999999999980900611262768507,24,0.000670656279159454610239166072,115,2214,0,1,48,4
417,1762276881,455,2dea3aba-4ba9-4571-9519-13628c704362,1762277336,1762277606,270,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 283 --hidden_size 917 --dropout 0.46687540088401890959 --num_dense_layers 1 --filter 5 --num_conv_layers 4,0,,c6,1216702,417_0,COMPLETED,BOTORCH_MODULAR,18.4499999999999992894572642399,259.156000000000005911715561524034,20,0.000100000000000000004792173602,283,917,0.466875400884018909586359313835,1,5,4
418,1762276886,480,2dea3aba-4ba9-4571-9519-13628c704362,1762277366,1762277587,221,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00013074922388507865 --batch_size 239 --hidden_size 1974 --dropout 0.5 --num_dense_layers 1 --filter 12 --num_conv_layers 4,0,,c30,1216703,418_0,COMPLETED,BOTORCH_MODULAR,30.85999999999999943156581139192,213.179000000000002046363078989089,20,0.000130749223885078653083213762,239,1974,0.5,1,12,4
419,1762276887,509,2dea3aba-4ba9-4571-9519-13628c704362,1762277396,1762277774,378,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.00065044998068819113 --batch_size 172 --hidden_size 2104 --dropout 0 --num_dense_layers 1 --filter 53 --num_conv_layers 4,0,,c90,1216704,419_0,COMPLETED,BOTORCH_MODULAR,59.78999999999999914734871708788,373.072999999999979081621859222651,32,0.000650449980688191128734565449,172,2104,0,1,53,4
420,1762280659,75,2dea3aba-4ba9-4571-9519-13628c704362,1762280734,1762280959,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00065872406727976235 --batch_size 550 --hidden_size 3899 --dropout 0.05535049195980989295 --num_dense_layers 1 --filter 42 --num_conv_layers 4,0,,c129,1216796,420_0,COMPLETED,BOTORCH_MODULAR,52.520000000000003126388037344441,219.274000000000000909494701772928,20,0.00065872406727976234516730436,550,3899,0.05535049195980989295007290707,1,42,4
421,1762280659,45,2dea3aba-4ba9-4571-9519-13628c704362,1762280704,1762280937,233,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00059434518143772295 --batch_size 559 --hidden_size 3545 --dropout 0.12427231415218711885 --num_dense_layers 1 --filter 46 --num_conv_layers 4,0,,c30,1216794,421_0,COMPLETED,BOTORCH_MODULAR,51.700000000000002842170943040401,226.875,20,0.000594345181437722948347701646,559,3545,0.124272314152187118851955460741,1,46,4
422,1762280659,45,2dea3aba-4ba9-4571-9519-13628c704362,1762280704,1762280943,239,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0005927849770399012 --batch_size 486 --hidden_size 3826 --dropout 0 --num_dense_layers 1 --filter 33 --num_conv_layers 4,0,,c148,1216793,422_0,COMPLETED,BOTORCH_MODULAR,50.619999999999997442046151263639,231.131000000000000227373675443232,20,0.000592784977039901195446092164,486,3826,0,1,33,4
423,1762280659,15,2dea3aba-4ba9-4571-9519-13628c704362,1762280674,1762280900,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00062859811928739915 --batch_size 526 --hidden_size 4039 --dropout 0.03404035583857550201 --num_dense_layers 1 --filter 47 --num_conv_layers 4,0,,c133,1216789,423_0,COMPLETED,BOTORCH_MODULAR,52.619999999999997442046151263639,222.356999999999999317878973670304,20,0.000628598119287399146465356026,526,4039,0.034040355838575502012144369246,1,47,4
424,1762280659,15,2dea3aba-4ba9-4571-9519-13628c704362,1762280674,1762280906,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0006279279887483148 --batch_size 541 --hidden_size 4015 --dropout 0.02813815686920765821 --num_dense_layers 1 --filter 41 --num_conv_layers 4,0,,c80,1216790,424_0,COMPLETED,BOTORCH_MODULAR,52.75,225.973999999999989540810929611325,20,0.000627927988748314797572136481,541,4015,0.028138156869207658211662348435,1,41,4
425,1762280659,15,2dea3aba-4ba9-4571-9519-13628c704362,1762280674,1762280906,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00062021137369621304 --batch_size 550 --hidden_size 3908 --dropout 0.07324799936787398935 --num_dense_layers 1 --filter 42 --num_conv_layers 4,0,,c71,1216791,425_0,COMPLETED,BOTORCH_MODULAR,52.240000000000001989519660128281,224.355999999999994543031789362431,20,0.000620211373696213041049885017,550,3908,0.073247999367873989351451768925,1,42,4
426,1762280660,74,2dea3aba-4ba9-4571-9519-13628c704362,1762280734,1762280965,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00063284248845285693 --batch_size 545 --hidden_size 3776 --dropout 0.07117998432767205785 --num_dense_layers 1 --filter 43 --num_conv_layers 4,0,,c107,1216797,426_0,COMPLETED,BOTORCH_MODULAR,52.46999999999999886313162278384,225.605999999999994543031789362431,20,0.000632842488452856934133539113,545,3776,0.07117998432767205785332009782,1,43,4
427,1762280659,15,2dea3aba-4ba9-4571-9519-13628c704362,1762280674,1762280906,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00063394552001987505 --batch_size 647 --hidden_size 3701 --dropout 0.17971936261069512697 --num_dense_layers 1 --filter 44 --num_conv_layers 4,0,,c60,1216792,427_0,COMPLETED,BOTORCH_MODULAR,51.75,224.485000000000013642420526593924,20,0.000633945520019875050597712995,647,3701,0.179719362610695126969417856344,1,44,4
428,1762280660,134,2dea3aba-4ba9-4571-9519-13628c704362,1762280794,1762281019,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00075234427973616767 --batch_size 592 --hidden_size 2361 --dropout 0.12738023357226579968 --num_dense_layers 1 --filter 32 --num_conv_layers 4,0,,c43,1216806,428_0,COMPLETED,BOTORCH_MODULAR,49.96999999999999886313162278384,216.918000000000006366462912410498,20,0.000752344279736167666217117045,592,2361,0.127380233572265799679712472425,1,32,4
429,1762280659,105,2dea3aba-4ba9-4571-9519-13628c704362,1762280764,1762280994,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00061788241519063821 --batch_size 582 --hidden_size 2924 --dropout 0.16715775486783507331 --num_dense_layers 1 --filter 45 --num_conv_layers 4,0,,c114,1216801,429_0,COMPLETED,BOTORCH_MODULAR,52.509999999999998010480339871719,222.95400000000000773070496506989,20,0.000617882415190638208286888489,582,2924,0.167157754867835073309123572471,1,45,4
430,1762280659,105,2dea3aba-4ba9-4571-9519-13628c704362,1762280764,1762280988,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00065902892022629532 --batch_size 588 --hidden_size 2668 --dropout 0.13931934056242128994 --num_dense_layers 1 --filter 39 --num_conv_layers 4,0,,c114,1216800,430_0,COMPLETED,BOTORCH_MODULAR,49.810000000000002273736754432321,219.915999999999996816768543794751,20,0.000659028920226295317381925987,588,2668,0.139319340562421289941852364791,1,39,4
431,1762280660,134,2dea3aba-4ba9-4571-9519-13628c704362,1762280794,1762281025,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00061926279340735889 --batch_size 583 --hidden_size 2905 --dropout 0.14487837657018201587 --num_dense_layers 1 --filter 44 --num_conv_layers 4,0,,c110,1216804,431_0,COMPLETED,BOTORCH_MODULAR,51.869999999999997442046151263639,223.098999999999989540810929611325,20,0.000619262793407358890299119203,583,2905,0.144878376570182015870003056079,1,44,4
432,1762280660,134,2dea3aba-4ba9-4571-9519-13628c704362,1762280794,1762281018,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00075715129566644582 --batch_size 748 --hidden_size 2482 --dropout 0.16381536051067707715 --num_dense_layers 1 --filter 33 --num_conv_layers 4,0,,c113,1216803,432_0,COMPLETED,BOTORCH_MODULAR,50.17000000000000170530256582424,217.217000000000012960299500264227,20,0.000757151295666445823227819201,748,2482,0.16381536051067707715489518705,1,33,4
433,1762280659,75,2dea3aba-4ba9-4571-9519-13628c704362,1762280734,1762280983,249,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00064833307619718166 --batch_size 562 --hidden_size 3861 --dropout 0.07946747076027298184 --num_dense_layers 1 --filter 43 --num_conv_layers 4,0,,c16,1216799,433_0,COMPLETED,BOTORCH_MODULAR,51.369999999999997442046151263639,244.569999999999993178789736703038,20,0.000648333076197181662828072923,562,3861,0.079467470760272981844529738282,1,43,4
434,1762280660,74,2dea3aba-4ba9-4571-9519-13628c704362,1762280734,1762280958,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00063181234260190425 --batch_size 608 --hidden_size 3657 --dropout 0.14070735263670514081 --num_dense_layers 1 --filter 44 --num_conv_layers 4,0,,c42,1216798,434_0,COMPLETED,BOTORCH_MODULAR,52.35999999999999943156581139192,219.46999999999999886313162278384,20,0.000631812342601904245072141908,608,3657,0.140707352636705140813688785784,1,44,4
435,1762280660,74,2dea3aba-4ba9-4571-9519-13628c704362,1762280734,1762280980,246,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00061375111735955637 --batch_size 647 --hidden_size 2961 --dropout 0.16494009517413796284 --num_dense_layers 1 --filter 44 --num_conv_layers 4,0,,c145,1216795,435_0,COMPLETED,BOTORCH_MODULAR,52.259999999999998010480339871719,241.171999999999997044142219237983,20,0.000613751117359556371336215541,647,2961,0.164940095174137962841243165713,1,44,4
436,1762280661,133,2dea3aba-4ba9-4571-9519-13628c704362,1762280794,1762281012,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00075159372221005624 --batch_size 591 --hidden_size 2238 --dropout 0.12983634011411010478 --num_dense_layers 1 --filter 32 --num_conv_layers 4,0,,c93,1216805,436_0,COMPLETED,BOTORCH_MODULAR,49.869999999999997442046151263639,211.498999999999995225152815692127,20,0.000751593722210056242906406343,591,2238,0.129836340114110104781985910449,1,32,4
437,1762280661,133,2dea3aba-4ba9-4571-9519-13628c704362,1762280794,1762281012,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00062756697128720125 --batch_size 551 --hidden_size 3830 --dropout 0.0686681714127498205 --num_dense_layers 1 --filter 42 --num_conv_layers 4,0,,c114,1216802,437_0,COMPLETED,BOTORCH_MODULAR,52.3500000000000014210854715202,214.052999999999997271515894681215,20,0.000627566971287201250118137352,551,3830,0.0686681714127498205035848855,1,42,4
438,1762280661,133,2dea3aba-4ba9-4571-9519-13628c704362,1762280794,1762281019,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00071357234599501594 --batch_size 593 --hidden_size 2535 --dropout 0.13605696161149183343 --num_dense_layers 1 --filter 35 --num_conv_layers 4,0,,c41,1216807,438_0,COMPLETED,BOTORCH_MODULAR,50.96999999999999886313162278384,217.631000000000000227373675443232,20,0.000713572345995015940543770849,593,2535,0.136056961611491833430420683726,1,35,4
439,1762280665,129,2dea3aba-4ba9-4571-9519-13628c704362,1762280794,1762281018,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00075234155974463195 --batch_size 719 --hidden_size 2407 --dropout 0.15376279888386640282 --num_dense_layers 1 --filter 30 --num_conv_layers 4,0,,c36,1216808,439_0,COMPLETED,BOTORCH_MODULAR,49.159999999999996589394868351519,216.90500000000000113686837721616,20,0.000752341559744631950719384594,719,2407,0.153762798883866402821496421893,1,30,4
440,1762283953,423,2dea3aba-4ba9-4571-9519-13628c704362,1762284376,1762284683,307,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 23 --learning_rate 0.00061143843977860151 --batch_size 127 --hidden_size 1950 --dropout 0 --num_dense_layers 1 --filter 67 --num_conv_layers 5,0,,c134,1216949,440_0,COMPLETED,BOTORCH_MODULAR,57.270000000000003126388037344441,299.809000000000025920599000528455,23,0.000611438439778601511634392729,127,1950,0,1,67,5
441,1762283955,571,2dea3aba-4ba9-4571-9519-13628c704362,1762284526,1762284757,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00034150081417553657 --batch_size 587 --hidden_size 3269 --dropout 0.5 --num_dense_layers 2 --filter 13 --num_conv_layers 7,0,,c118,1216958,441_0,COMPLETED,BOTORCH_MODULAR,28.51999999999999957367435854394,221.301999999999992496668710373342,20,0.000341500814175536566812130257,587,3269,0.5,2,13,7
442,1762283953,543,2dea3aba-4ba9-4571-9519-13628c704362,1762284496,1762284841,345,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00063182636753633117 --batch_size 216 --hidden_size 2145 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 5,0,,c16,1216957,442_0,COMPLETED,BOTORCH_MODULAR,58.14000000000000056843418860808,338.413000000000010913936421275139,29,0.000631826367536331167697183364,216,2145,0,1,80,5
443,1762283954,513,2dea3aba-4ba9-4571-9519-13628c704362,1762284467,1762284711,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00070271138176337532 --batch_size 207 --hidden_size 1447 --dropout 0.5 --num_dense_layers 1 --filter 65 --num_conv_layers 5,0,,c114,1216955,443_0,COMPLETED,BOTORCH_MODULAR,54.380000000000002557953848736361,238.217000000000012960299500264227,20,0.000702711381763375321669873319,207,1447,0.5,1,65,5
444,1762283953,483,2dea3aba-4ba9-4571-9519-13628c704362,1762284436,1762284685,249,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00056068759868413431 --batch_size 661 --hidden_size 1974 --dropout 0.5 --num_dense_layers 1 --filter 24 --num_conv_layers 6,0,,c138,1216950,444_0,COMPLETED,BOTORCH_MODULAR,41.090000000000003410605131648481,244.501000000000004774847184307873,22,0.000560687598684134311417814889,661,1974,0.5,1,24,6
445,1762283954,482,2dea3aba-4ba9-4571-9519-13628c704362,1762284436,1762284794,358,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.0006447569047299211 --batch_size 143 --hidden_size 1615 --dropout 0 --num_dense_layers 1 --filter 58 --num_conv_layers 5,0,,c95,1216952,445_0,COMPLETED,BOTORCH_MODULAR,56.310000000000002273736754432321,349.988999999999975898390403017402,29,0.000644756904729921098869127594,143,1615,0,1,58,5
446,1762283953,543,2dea3aba-4ba9-4571-9519-13628c704362,1762284496,1762284727,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 917 --hidden_size 3566 --dropout 0.36167167774811892489 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c45,1216956,446_0,COMPLETED,BOTORCH_MODULAR,39.85999999999999943156581139192,225.312000000000011823431123048067,20,0.000100000000000000004792173602,917,3566,0.361671677748118924888842684595,1,80,6
447,1762283953,393,2dea3aba-4ba9-4571-9519-13628c704362,1762284346,1762284621,275,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 23 --learning_rate 0.00070201045968004369 --batch_size 242 --hidden_size 1408 --dropout 0 --num_dense_layers 1 --filter 74 --num_conv_layers 5,0,,c26,1216948,447_0,COMPLETED,BOTORCH_MODULAR,57.39000000000000056843418860808,268.355000000000018189894035458565,23,0.000702010459680043686150896498,242,1408,0,1,74,5
448,1762283954,602,2dea3aba-4ba9-4571-9519-13628c704362,1762284556,1762284949,393,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00060876745630662787 --batch_size 53 --hidden_size 1875 --dropout 0 --num_dense_layers 1 --filter 77 --num_conv_layers 5,0,,c119,1216959,448_0,COMPLETED,BOTORCH_MODULAR,59.439999999999997726263245567679,383.509999999999990905052982270718,24,0.000608767456306627866534364468,53,1875,0,1,77,5
449,1762283953,483,2dea3aba-4ba9-4571-9519-13628c704362,1762284436,1762284692,256,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.0004221687276296339 --batch_size 984 --hidden_size 3151 --dropout 0.5 --num_dense_layers 1 --filter 42 --num_conv_layers 6,0,,c69,1216953,449_0,COMPLETED,BOTORCH_MODULAR,46.10999999999999943156581139192,251.443999999999988403942552395165,24,0.000422168727629633900710198757,984,3151,0.5,1,42,6
450,1762283954,693,2dea3aba-4ba9-4571-9519-13628c704362,1762284647,1762284962,315,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00063498364240283588 --batch_size 220 --hidden_size 1746 --dropout 0 --num_dense_layers 1 --filter 78 --num_conv_layers 5,0,,c21,1216963,450_0,COMPLETED,BOTORCH_MODULAR,57.8999999999999985789145284798,307.156000000000005911715561524034,26,0.000634983642402835884478717876,220,1746,0,1,78,5
451,1762283954,482,2dea3aba-4ba9-4571-9519-13628c704362,1762284436,1762284744,308,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00065970227981107304 --batch_size 233 --hidden_size 1584 --dropout 0 --num_dense_layers 1 --filter 77 --num_conv_layers 5,0,,c50,1216954,451_0,COMPLETED,BOTORCH_MODULAR,57.8500000000000014210854715202,302.980999999999994543031789362431,26,0.000659702279811073041132507555,233,1584,0,1,77,5
452,1762283954,602,2dea3aba-4ba9-4571-9519-13628c704362,1762284556,1762284896,340,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00062419108971318866 --batch_size 168 --hidden_size 1931 --dropout 0 --num_dense_layers 1 --filter 75 --num_conv_layers 5,0,,c113,1216960,452_0,COMPLETED,BOTORCH_MODULAR,58.78000000000000113686837721616,331.610000000000013642420526593924,27,0.000624191089713188661074194652,168,1931,0,1,75,5
453,1762283954,482,2dea3aba-4ba9-4571-9519-13628c704362,1762284436,1762284744,308,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 25 --learning_rate 0.00061833964020651636 --batch_size 188 --hidden_size 1936 --dropout 0 --num_dense_layers 1 --filter 77 --num_conv_layers 5,0,,c128,1216951,453_0,COMPLETED,BOTORCH_MODULAR,58.07999999999999829469743417576,303.091000000000008185452315956354,25,0.000618339640206516357248678339,188,1936,0,1,77,5
454,1762283954,692,2dea3aba-4ba9-4571-9519-13628c704362,1762284646,1762284954,308,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00066181176583706759 --batch_size 210 --hidden_size 1604 --dropout 0 --num_dense_layers 1 --filter 79 --num_conv_layers 5,0,,c26,1216962,454_0,COMPLETED,BOTORCH_MODULAR,57.950000000000002842170943040401,304.050999999999987721821526065469,26,0.000661811765837067586884523429,210,1604,0,1,79,5
455,1762283954,632,2dea3aba-4ba9-4571-9519-13628c704362,1762284586,1762284949,363,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.0006318019638788065 --batch_size 194 --hidden_size 1781 --dropout 0 --num_dense_layers 1 --filter 77 --num_conv_layers 5,0,,c89,1216961,455_0,COMPLETED,BOTORCH_MODULAR,58.46000000000000085265128291212,352.863999999999975898390403017402,28,0.00063180196387880650007312644,194,1781,0,1,77,5
456,1762283955,721,2dea3aba-4ba9-4571-9519-13628c704362,1762284676,1762284914,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 23 --learning_rate 0.00045107832881068462 --batch_size 805 --hidden_size 3665 --dropout 0.5 --num_dense_layers 1 --filter 4 --num_conv_layers 6,0,,c27,1216964,456_0,COMPLETED,BOTORCH_MODULAR,19.5500000000000007105427357601,234.158999999999991814547684043646,23,0.000451078328810684619446652599,805,3665,0.5,1,4,6
457,1762283959,748,2dea3aba-4ba9-4571-9519-13628c704362,1762284707,1762284925,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00033086374357912143 --batch_size 584 --hidden_size 3845 --dropout 0.28997788314198447157 --num_dense_layers 1 --filter 12 --num_conv_layers 7,0,,c138,1216965,457_0,COMPLETED,BOTORCH_MODULAR,29.01000000000000156319401867222,210.020000000000010231815394945443,20,0.000330863743579121432746709131,584,3845,0.289977883141984471571106496413,1,12,7
458,1762283964,743,2dea3aba-4ba9-4571-9519-13628c704362,1762284707,1762285044,337,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.0006176595896183536 --batch_size 138 --hidden_size 1846 --dropout 0 --num_dense_layers 1 --filter 74 --num_conv_layers 5,0,,c134,1216966,458_0,COMPLETED,BOTORCH_MODULAR,57.32999999999999829469743417576,328.807000000000016370904631912708,26,0.000617659589618353602018252513,138,1846,0,1,74,5
459,1762283970,737,2dea3aba-4ba9-4571-9519-13628c704362,1762284707,1762285102,395,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00060714812201313544 --batch_size 50 --hidden_size 1879 --dropout 0 --num_dense_layers 1 --filter 71 --num_conv_layers 5,0,,c112,1216967,459_0,COMPLETED,BOTORCH_MODULAR,59.240000000000001989519660128281,387.098999999999989540810929611325,24,0.000607148122013135443410247749,50,1879,0,1,71,5
460,1762287646,126,2dea3aba-4ba9-4571-9519-13628c704362,1762287772,1762288154,382,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.0005935279971972003 --batch_size 33 --hidden_size 605 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c27,1217094,460_0,COMPLETED,BOTORCH_MODULAR,56.380000000000002557953848736361,377.973000000000013187673175707459,22,0.000593527997197200300229236181,33,605,0,1,80,4
461,1762287646,186,2dea3aba-4ba9-4571-9519-13628c704362,1762287832,1762288243,411,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00065802363721442791 --batch_size 89 --hidden_size 3716 --dropout 0.16699420785325633232 --num_dense_layers 1 --filter 73 --num_conv_layers 4,0,,c38,1217095,461_0,COMPLETED,BOTORCH_MODULAR,59.560000000000002273736754432321,403.641000000000019554136088117957,29,0.000658023637214427909239433667,89,3716,0.166994207853256332318991894681,1,73,4
462,1762287646,126,2dea3aba-4ba9-4571-9519-13628c704362,1762287772,1762288016,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00095612025652286933 --batch_size 455 --hidden_size 2815 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c49,1217092,462_0,COMPLETED,BOTORCH_MODULAR,54.82000000000000028421709430404,238.556000000000011596057447604835,20,0.000956120256522869325921387684,455,2815,0.5,1,80,6
463,1762287646,126,2dea3aba-4ba9-4571-9519-13628c704362,1762287772,1762287996,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00097946091916808814 --batch_size 522 --hidden_size 2698 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c89,1217091,463_0,COMPLETED,BOTORCH_MODULAR,56.92000000000000170530256582424,220.283999999999991814547684043646,20,0.000979460919168088136460559312,522,2698,0.5,1,80,6
464,1762287646,96,2dea3aba-4ba9-4571-9519-13628c704362,1762287742,1762288142,400,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00067731434287020232 --batch_size 49 --hidden_size 3631 --dropout 0.19165271483422716137 --num_dense_layers 1 --filter 74 --num_conv_layers 4,0,,c87,1217090,464_0,COMPLETED,BOTORCH_MODULAR,59.3500000000000014210854715202,394.196000000000026375346351414919,24,0.000677314342870202323182438064,49,3631,0.191652714834227161366797531628,1,74,4
465,1762287646,96,2dea3aba-4ba9-4571-9519-13628c704362,1762287742,1762287979,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00073944241265213738 --batch_size 256 --hidden_size 1229 --dropout 0 --num_dense_layers 2 --filter 25 --num_conv_layers 4,0,,c88,1217089,465_0,COMPLETED,BOTORCH_MODULAR,48.810000000000002273736754432321,229.67099999999999226929503493011,20,0.000739442412652137380860151161,256,1229,0,2,25,4
466,1762287647,124,2dea3aba-4ba9-4571-9519-13628c704362,1762287771,1762288187,416,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 34 --learning_rate 0.00072695768585593745 --batch_size 208 --hidden_size 3048 --dropout 0.40904634820744484314 --num_dense_layers 1 --filter 69 --num_conv_layers 6,0,,c41,1217093,466_0,COMPLETED,BOTORCH_MODULAR,63.159999999999996589394868351519,411.985000000000013642420526593924,34,0.000726957685855937445207342051,208,3048,0.409046348207444843136926238003,1,69,6
467,1762287647,215,2dea3aba-4ba9-4571-9519-13628c704362,1762287862,1762288134,272,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.00069509084572891527 --batch_size 168 --hidden_size 3698 --dropout 0.16664742330630699652 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c16,1217096,467_0,COMPLETED,BOTORCH_MODULAR,57.6000000000000014210854715202,265.540000000000020463630789890885,21,0.000695090845728915272469516928,168,3698,0.166647423306306996515502305556,1,80,4
468,1762287647,245,2dea3aba-4ba9-4571-9519-13628c704362,1762287892,1762291546,3654,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00063456893576009795 --batch_size 8 --hidden_size 1687 --dropout 0.17676534526014189841 --num_dense_layers 1 --filter 77 --num_conv_layers 5,0,,c44,1217098,468_0,COMPLETED,BOTORCH_MODULAR,68.239999999999994884092302527279,3648.862999999999829014996066689491,82,0.000634568935760097948758917674,8,1687,0.176765345260141898409145255755,1,77,5
469,1762287647,335,2dea3aba-4ba9-4571-9519-13628c704362,1762287982,1762288523,541,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 51 --learning_rate 0.00093051266311828531 --batch_size 1024 --hidden_size 2533 --dropout 0.5 --num_dense_layers 1 --filter 51 --num_conv_layers 4,0,,c63,1217105,469_0,COMPLETED,BOTORCH_MODULAR,53.240000000000001989519660128281,533.726999999999975443643052130938,51,0.000930512663118285309783728199,1024,2533,0.5,1,51,4
470,1762287647,246,2dea3aba-4ba9-4571-9519-13628c704362,1762287893,1762288441,548,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 51 --learning_rate 0.00088876278411586639 --batch_size 996 --hidden_size 2595 --dropout 0.5 --num_dense_layers 2 --filter 58 --num_conv_layers 6,0,,c47,1217097,470_0,COMPLETED,BOTORCH_MODULAR,56.85999999999999943156581139192,541.028000000000020008883439004421,51,0.000888762784115866392997684642,996,2595,0.5,2,58,6
471,1762287647,335,2dea3aba-4ba9-4571-9519-13628c704362,1762287982,1762288223,241,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00063062031755388057 --batch_size 202 --hidden_size 525 --dropout 0 --num_dense_layers 2 --filter 61 --num_conv_layers 4,0,,c125,1217103,471_0,COMPLETED,BOTORCH_MODULAR,53.17999999999999971578290569596,235.957999999999998408384271897376,20,0.000630620317553880573892277628,202,525,0,2,61,4
472,1762287647,275,2dea3aba-4ba9-4571-9519-13628c704362,1762287922,1762288276,354,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.00063118961900561997 --batch_size 74 --hidden_size 3964 --dropout 0.18293403342162747882 --num_dense_layers 1 --filter 58 --num_conv_layers 4,0,,c13,1217102,472_0,COMPLETED,BOTORCH_MODULAR,57.909999999999996589394868351519,348.547000000000025465851649641991,24,0.000631189619005619972740006585,74,3964,0.182934033421627478821491763483,1,58,4
473,1762287647,280,2dea3aba-4ba9-4571-9519-13628c704362,1762287927,1762288187,260,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.00064161418034729622 --batch_size 200 --hidden_size 3441 --dropout 0.20862464327219504279 --num_dense_layers 1 --filter 69 --num_conv_layers 4,0,,c13,1217101,473_0,COMPLETED,BOTORCH_MODULAR,55.25,253.777999999999991587174008600414,21,0.000641614180347296219654451566,200,3441,0.208624643272195042786876229002,1,69,4
474,1762287647,275,2dea3aba-4ba9-4571-9519-13628c704362,1762287922,1762288193,271,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.00070687256019236428 --batch_size 178 --hidden_size 3745 --dropout 0.15249333190362643342 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c36,1217100,474_0,COMPLETED,BOTORCH_MODULAR,56.46999999999999886313162278384,266.995999999999980900611262768507,21,0.000706872560192364275157006492,178,3745,0.152493331903626433421194974471,1,80,4
475,1762287647,335,2dea3aba-4ba9-4571-9519-13628c704362,1762287982,1762288218,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00088974413153433522 --batch_size 597 --hidden_size 2787 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c70,1217104,475_0,COMPLETED,BOTORCH_MODULAR,53.479999999999996873611962655559,229.870000000000004547473508864641,20,0.000889744131534335219897713376,597,2787,0.5,1,80,6
476,1762287648,274,2dea3aba-4ba9-4571-9519-13628c704362,1762287922,1762288499,577,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 51 --learning_rate 0.00090975381484069201 --batch_size 963 --hidden_size 2630 --dropout 0.5 --num_dense_layers 2 --filter 65 --num_conv_layers 6,0,,c92,1217099,476_0,COMPLETED,BOTORCH_MODULAR,57.39000000000000056843418860808,570.681000000000040017766878008842,51,0.000909753814840692006521427615,963,2630,0.5,2,65,6
477,1762287652,330,2dea3aba-4ba9-4571-9519-13628c704362,1762287982,1762288288,306,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.00063318606372272761 --batch_size 96 --hidden_size 3974 --dropout 0.26307904351016941913 --num_dense_layers 1 --filter 59 --num_conv_layers 4,0,,c53,1217106,477_0,COMPLETED,BOTORCH_MODULAR,56.17999999999999971578290569596,301.247000000000014097167877480388,21,0.000633186063722727607294693541,96,3974,0.263079043510169419128885692771,1,59,4
478,1762287658,324,2dea3aba-4ba9-4571-9519-13628c704362,1762287982,1762288530,548,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 51 --learning_rate 0.00086668676525357272 --batch_size 1024 --hidden_size 3023 --dropout 0.49480801275609104239 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c50,1217107,478_0,COMPLETED,BOTORCH_MODULAR,61.159999999999996589394868351519,544.21000000000003637978807091713,51,0.000866686765253572724901354185,1024,3023,0.494808012756091042394501755552,1,80,6
479,1762287658,324,2dea3aba-4ba9-4571-9519-13628c704362,1762287982,1762288425,443,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 35 --learning_rate 0.00072525375746360706 --batch_size 129 --hidden_size 1482 --dropout 0.24834695054208180687 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c45,1217108,479_0,COMPLETED,BOTORCH_MODULAR,64.760000000000005115907697472721,438.360999999999989995558280497789,35,0.000725253757463607058759980095,129,1482,0.248346950542081806867500404223,1,80,6
480,1762294004,22,2dea3aba-4ba9-4571-9519-13628c704362,1762294026,1762295358,1332,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00071214329994348784 --batch_size 160 --hidden_size 1454 --dropout 0.27237517406811589948 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c16,1217286,480_0,COMPLETED,BOTORCH_MODULAR,64.840000000000003410605131648481,1323.124000000000023646862246096134,106,0.000712143299943487841259515125,160,1454,0.272375174068115899483899511324,1,80,6
481,1762294003,23,2dea3aba-4ba9-4571-9519-13628c704362,1762294026,1762298707,4681,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.000688068824421417 --batch_size 8 --hidden_size 1575 --dropout 0.27994856735019985061 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c90,1217284,481_0,COMPLETED,BOTORCH_MODULAR,67.07999999999999829469743417576,4671.155999999999949068296700716019,107,0.000688068824421416997544342919,8,1575,0.279948567350199850611858209959,1,80,6
482,1762294005,414,2dea3aba-4ba9-4571-9519-13628c704362,1762294419,1762299093,4674,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00069087584047020881 --batch_size 8 --hidden_size 1571 --dropout 0.2802906008928858772 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c143,1217299,482_0,COMPLETED,BOTORCH_MODULAR,67.049999999999997157829056959599,4668.466000000000349245965480804443,107,0.00069087584047020881173467588,8,1571,0.280290600892885877204463440648,1,80,6
483,1762294004,54,2dea3aba-4ba9-4571-9519-13628c704362,1762294058,1762299831,5773,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 133 --learning_rate 0.00068580555030421056 --batch_size 8 --hidden_size 1562 --dropout 0.28796888233761530618 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c148,1217287,483_0,COMPLETED,BOTORCH_MODULAR,67.519999999999996020960679743439,5763.170000000000072759576141834259,133,0.000685805550304210563734852446,8,1562,0.287968882337615306177269758336,1,80,6
484,1762294003,23,2dea3aba-4ba9-4571-9519-13628c704362,1762294026,1762298732,4706,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00068861415971087109 --batch_size 8 --hidden_size 1572 --dropout 0.28164010610311307481 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c30,1217285,484_0,COMPLETED,BOTORCH_MODULAR,67.810000000000002273736754432321,4698.579999999999927240423858165741,107,0.000688614159710871092008599437,8,1572,0.281640106103113074809130012,1,80,6
485,1762294003,146,2dea3aba-4ba9-4571-9519-13628c704362,1762294149,1762298836,4687,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00069094602711598015 --batch_size 8 --hidden_size 1569 --dropout 0.2820641163731208434 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c38,1217290,485_0,COMPLETED,BOTORCH_MODULAR,67.560000000000002273736754432321,4679.422999999999774445313960313797,107,0.000690946027115980150774821045,8,1569,0.282064116373120843395128076736,1,80,6
486,1762294004,174,2dea3aba-4ba9-4571-9519-13628c704362,1762294178,1762295716,1538,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00069063930587616516 --batch_size 66 --hidden_size 1609 --dropout 0.25973194604298421861 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c31,1217294,486_0,COMPLETED,BOTORCH_MODULAR,66.239999999999994884092302527279,1530.269000000000005456968210637569,107,0.000690639305876165161476865073,66,1609,0.259731946042984218614435576455,1,80,6
487,1762294004,355,2dea3aba-4ba9-4571-9519-13628c704362,1762294359,1762295843,1484,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 131 --learning_rate 0.0007047050647065715 --batch_size 261 --hidden_size 1550 --dropout 0.24244512665247039407 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c113,1217295,487_0,COMPLETED,BOTORCH_MODULAR,64.25,1475.03299999999990177457220852375,131,0.000704705064706571504377918824,261,1550,0.242445126652470394068572545621,1,80,6
488,1762294004,385,2dea3aba-4ba9-4571-9519-13628c704362,1762294389,1762295589,1200,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.0007006180882981563 --batch_size 256 --hidden_size 1630 --dropout 0.21205936848721518295 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c42,1217298,488_0,COMPLETED,BOTORCH_MODULAR,64.230000000000003979039320256561,1192.203999999999950887286104261875,105,0.000700618088298156295630481072,256,1630,0.212059368487215182952354552981,1,80,6
489,1762294005,414,2dea3aba-4ba9-4571-9519-13628c704362,1762294419,1762299093,4674,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00069006562791887088 --batch_size 8 --hidden_size 1574 --dropout 0.2853023081402382144 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c124,1217300,489_0,COMPLETED,BOTORCH_MODULAR,67.239999999999994884092302527279,4668.492000000000189174897968769073,107,0.000690065627918870884774382723,8,1574,0.285302308140238214395623117525,1,80,6
490,1762294004,54,2dea3aba-4ba9-4571-9519-13628c704362,1762294058,1762299136,5078,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00068849368792178907 --batch_size 8 --hidden_size 1567 --dropout 0.28425148145993128779 --num_dense_layers 1 --filter 79 --num_conv_layers 6,0,,c28,1217289,490_0,COMPLETED,BOTORCH_MODULAR,67.200000000000002842170943040401,5072.13699999999971623765304684639,107,0.000688493687921789068728806171,8,1567,0.284251481459931287787412657053,1,79,6
491,1762294004,144,2dea3aba-4ba9-4571-9519-13628c704362,1762294148,1762295839,1691,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 132 --learning_rate 0.00070444041110223924 --batch_size 112 --hidden_size 1375 --dropout 0.28605261545096605236 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c87,1217288,491_0,COMPLETED,BOTORCH_MODULAR,65.349999999999994315658113919199,1686.846999999999979991116560995579,132,0.000704440411102239243817946246,112,1375,0.286052615450966052357273383677,1,80,6
492,1762294005,173,2dea3aba-4ba9-4571-9519-13628c704362,1762294178,1762295349,1171,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00072003913579687939 --batch_size 442 --hidden_size 1600 --dropout 0.1742834538378202347 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c86,1217293,492_0,COMPLETED,BOTORCH_MODULAR,62.96000000000000085265128291212,1163.115000000000009094947017729282,104,0.000720039135796879392614755488,442,1600,0.174283453837820234699762522723,1,80,6
493,1762294005,173,2dea3aba-4ba9-4571-9519-13628c704362,1762294178,1762298862,4684,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00068865994168012656 --batch_size 8 --hidden_size 1572 --dropout 0.28000164689684498009 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c89,1217292,493_0,COMPLETED,BOTORCH_MODULAR,66.730000000000003979039320256561,4675.422999999999774445313960313797,107,0.000688659941680126556906582636,8,1572,0.280001646896844980094698485118,1,80,6
494,1762294005,354,2dea3aba-4ba9-4571-9519-13628c704362,1762294359,1762300248,5889,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 133 --learning_rate 0.00068531677343520254 --batch_size 8 --hidden_size 1532 --dropout 0.29194722987744098353 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c42,1217296,494_0,COMPLETED,BOTORCH_MODULAR,67.590000000000003410605131648481,5881.252999999999701685737818479538,133,0.000685316773435202543883482118,8,1532,0.291947229877440983525360707063,1,80,6
495,1762294005,173,2dea3aba-4ba9-4571-9519-13628c704362,1762294178,1762295680,1502,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.0007104423312028395 --batch_size 78 --hidden_size 1447 --dropout 0.28849078667322664016 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c149,1217291,495_0,COMPLETED,BOTORCH_MODULAR,65.430000000000006821210263296962,1497.180000000000063664629124104977,107,0.000710442331202839499372514442,78,1447,0.288490786673226640157707834078,1,80,6
496,1762294006,413,2dea3aba-4ba9-4571-9519-13628c704362,1762294419,1762295688,1269,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00069289980786959226 --batch_size 238 --hidden_size 1692 --dropout 0.21979443784683547203 --num_dense_layers 1 --filter 75 --num_conv_layers 6,0,,c75,1217301,496_0,COMPLETED,BOTORCH_MODULAR,63.909999999999996589394868351519,1263.900000000000090949470177292824,107,0.000692899807869592262304925256,238,1692,0.219794437846835472027962055108,1,75,6
497,1762294006,383,2dea3aba-4ba9-4571-9519-13628c704362,1762294389,1762299135,4746,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.0006895326861683954 --batch_size 8 --hidden_size 1574 --dropout 0.28006243529945012982 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c113,1217297,497_0,COMPLETED,BOTORCH_MODULAR,67.239999999999994884092302527279,4736.953000000000429281499236822128,107,0.000689532686168395402351305457,8,1574,0.280062435299450129821963173526,1,80,6
498,1762294006,414,2dea3aba-4ba9-4571-9519-13628c704362,1762294420,1762299185,4765,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00068927836939716941 --batch_size 8 --hidden_size 1572 --dropout 0.27701034939554858294 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c73,1217302,498_0,COMPLETED,BOTORCH_MODULAR,66.879999999999995452526491135359,4757.667999999999665305949747562408,107,0.000689278369397169411204873146,8,1572,0.277010349395548582940307369427,1,80,6
499,1762294015,494,2dea3aba-4ba9-4571-9519-13628c704362,1762294509,1762300272,5763,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 133 --learning_rate 0.00068645079340130843 --batch_size 8 --hidden_size 1556 --dropout 0.30456972796774267609 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c95,1217304,499_0,COMPLETED,BOTORCH_MODULAR,67.230000000000003979039320256561,5756.765999999999621650204062461853,133,0.000686450793401308426676388219,8,1556,0.304569727967742676089102360493,1,80,6
500,1762302797,33,2dea3aba-4ba9-4571-9519-13628c704362,1762302830,1762303736,906,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 84 --learning_rate 0.00066557349121230643 --batch_size 662 --hidden_size 3821 --dropout 0.38305441990097177651 --num_dense_layers 1 --filter 65 --num_conv_layers 4,0,,c79,1217499,500_0,COMPLETED,BOTORCH_MODULAR,59.17999999999999971578290569596,896.698999999999955434759613126516,84,0.00066557349121230643170660235,662,3821,0.383054419900971776513642907958,1,65,4
501,1762302797,94,2dea3aba-4ba9-4571-9519-13628c704362,1762302891,1762303825,934,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00050028503609146234 --batch_size 641 --hidden_size 3998 --dropout 0 --num_dense_layers 1 --filter 61 --num_conv_layers 4,0,,c125,1217503,501_0,COMPLETED,BOTORCH_MODULAR,53.75,925.84900000000004638422979041934,86,0.00050028503609146233663262926,641,3998,0,1,61,4
502,1762302798,333,2dea3aba-4ba9-4571-9519-13628c704362,1762303131,1762303950,819,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00048964584103705579 --batch_size 764 --hidden_size 3887 --dropout 0 --num_dense_layers 1 --filter 62 --num_conv_layers 4,0,,c44,1217507,502_0,COMPLETED,BOTORCH_MODULAR,57.71999999999999886313162278384,813.635999999999967258190736174583,77,0.000489645841037055786458542794,764,3887,0,1,62,4
503,1762302797,33,2dea3aba-4ba9-4571-9519-13628c704362,1762302830,1762303724,894,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00047841919377246791 --batch_size 601 --hidden_size 3883 --dropout 0 --num_dense_layers 1 --filter 61 --num_conv_layers 4,0,,c146,1217498,503_0,COMPLETED,BOTORCH_MODULAR,58.979999999999996873611962655559,885.785999999999944520823191851377,82,0.000478419193772467907753431771,601,3883,0,1,61,4
504,1762302798,213,2dea3aba-4ba9-4571-9519-13628c704362,1762303011,1762303955,944,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.0004759938506802918 --batch_size 611 --hidden_size 3849 --dropout 0 --num_dense_layers 1 --filter 61 --num_conv_layers 4,0,,c30,1217504,504_0,COMPLETED,BOTORCH_MODULAR,58.130000000000002557953848736361,938.431000000000040017766878008842,87,0.000475993850680291800785137735,611,3849,0,1,61,4
505,1762302798,407,2dea3aba-4ba9-4571-9519-13628c704362,1762303205,1762304112,907,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 84 --learning_rate 0.00049358009787029875 --batch_size 648 --hidden_size 3935 --dropout 0 --num_dense_layers 1 --filter 61 --num_conv_layers 4,0,,c106,1217508,505_0,COMPLETED,BOTORCH_MODULAR,58.6499999999999985789145284798,898.907000000000039108272176235914,84,0.000493580097870298752961437661,648,3935,0,1,61,4
506,1762302797,33,2dea3aba-4ba9-4571-9519-13628c704362,1762302830,1762303729,899,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 84 --learning_rate 0.00047973975993419215 --batch_size 642 --hidden_size 3889 --dropout 0 --num_dense_layers 1 --filter 61 --num_conv_layers 4,0,,c44,1217500,506_0,COMPLETED,BOTORCH_MODULAR,58.619999999999997442046151263639,890.405999999999949068296700716019,84,0.000479739759934192148103926367,642,3889,0,1,61,4
507,1762302798,304,2dea3aba-4ba9-4571-9519-13628c704362,1762303102,1762304032,930,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00082485137709485527 --batch_size 650 --hidden_size 3710 --dropout 0.5 --num_dense_layers 1 --filter 70 --num_conv_layers 4,0,,c127,1217506,507_0,COMPLETED,BOTORCH_MODULAR,58.39000000000000056843418860808,922.913000000000010913936421275139,86,0.000824851377094855267926853948,650,3710,0.5,1,70,4
508,1762302798,378,2dea3aba-4ba9-4571-9519-13628c704362,1762303176,1762304219,1043,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00063596972802251349 --batch_size 764 --hidden_size 1613 --dropout 0.5 --num_dense_layers 1 --filter 73 --num_conv_layers 7,0,,c91,1217509,508_0,COMPLETED,BOTORCH_MODULAR,58.939999999999997726263245567679,1040.124000000000023646862246096134,97,0.000635969728022513485637956521,764,1613,0.5,1,73,7
509,1762302803,432,2dea3aba-4ba9-4571-9519-13628c704362,1762303235,1762304231,996,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 91 --learning_rate 0.00061791038821828483 --batch_size 650 --hidden_size 1710 --dropout 0.5 --num_dense_layers 1 --filter 70 --num_conv_layers 7,0,,c140,1217513,509_0,COMPLETED,BOTORCH_MODULAR,60.10999999999999943156581139192,991.750999999999976353137753903866,91,0.000617910388218284828236448458,650,1710,0.5,1,70,7
510,1762302798,32,2dea3aba-4ba9-4571-9519-13628c704362,1762302830,1762303643,813,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00048947651090231609 --batch_size 686 --hidden_size 3804 --dropout 0 --num_dense_layers 1 --filter 63 --num_conv_layers 4,0,,c43,1217501,510_0,COMPLETED,BOTORCH_MODULAR,58.78999999999999914734871708788,810.392000000000052750692702829838,77,0.000489476510902316086504271198,686,3804,0,1,63,4
511,1762302798,32,2dea3aba-4ba9-4571-9519-13628c704362,1762302830,1762303749,919,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00049891598098541589 --batch_size 643 --hidden_size 3889 --dropout 0 --num_dense_layers 1 --filter 64 --num_conv_layers 4,0,,c42,1217502,511_0,COMPLETED,BOTORCH_MODULAR,59.1000000000000014210854715202,913.866999999999961801222525537014,87,0.000498915980985415894941037429,643,3889,0,1,64,4
512,1762302798,407,2dea3aba-4ba9-4571-9519-13628c704362,1762303205,1762304353,1148,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00061871161487570339 --batch_size 396 --hidden_size 1654 --dropout 0.5 --num_dense_layers 1 --filter 74 --num_conv_layers 7,0,,c89,1217510,512_0,COMPLETED,BOTORCH_MODULAR,61.28999999999999914734871708788,1139.605000000000018189894035458565,102,0.000618711614875703391769334871,396,1654,0.5,1,74,7
513,1762302798,407,2dea3aba-4ba9-4571-9519-13628c704362,1762303205,1762304152,947,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00062696425169539763 --batch_size 583 --hidden_size 1654 --dropout 0.5 --num_dense_layers 1 --filter 70 --num_conv_layers 7,0,,c61,1217511,513_0,COMPLETED,BOTORCH_MODULAR,60.340000000000003410605131648481,937.528999999999996362021192908287,87,0.000626964251695397633765138856,583,1654,0.5,1,70,7
514,1762302799,406,2dea3aba-4ba9-4571-9519-13628c704362,1762303205,1762304099,894,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00047722287613847808 --batch_size 644 --hidden_size 3883 --dropout 0 --num_dense_layers 1 --filter 61 --num_conv_layers 4,0,,c21,1217512,514_0,COMPLETED,BOTORCH_MODULAR,57.759999999999998010480339871719,885.919999999999959072738420218229,83,0.000477222876138478084746818997,644,3883,0,1,61,4
515,1762302798,243,2dea3aba-4ba9-4571-9519-13628c704362,1762303041,1762303938,897,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00046374144036735509 --batch_size 625 --hidden_size 3768 --dropout 0 --num_dense_layers 1 --filter 63 --num_conv_layers 4,0,,c91,1217505,515_0,COMPLETED,BOTORCH_MODULAR,58.07000000000000028421709430404,891.594000000000050931703299283981,83,0.00046374144036735509338473249,625,3768,0,1,63,4
516,1762302804,522,2dea3aba-4ba9-4571-9519-13628c704362,1762303326,1762304419,1093,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 101 --learning_rate 0.00064018187412157306 --batch_size 1024 --hidden_size 1613 --dropout 0.5 --num_dense_layers 1 --filter 74 --num_conv_layers 7,0,,c88,1217514,516_0,COMPLETED,BOTORCH_MODULAR,58.89000000000000056843418860808,1087.71700000000009822542779147625,101,0.000640181874121573059495393654,1024,1613,0.5,1,74,7
517,1762302804,552,2dea3aba-4ba9-4571-9519-13628c704362,1762303356,1762304262,906,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00053257192786815158 --batch_size 609 --hidden_size 3995 --dropout 0.06863699926139879559 --num_dense_layers 1 --filter 61 --num_conv_layers 4,0,,c27,1217515,517_0,COMPLETED,BOTORCH_MODULAR,59.740000000000001989519660128281,899.466000000000008185452315956354,83,0.000532571927868151582391442744,609,3995,0.068636999261398795590949362122,1,61,4
518,1762302808,608,2dea3aba-4ba9-4571-9519-13628c704362,1762303416,1762304358,942,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 89 --learning_rate 0.0004970229422531548 --batch_size 652 --hidden_size 3999 --dropout 0.01413978391404175153 --num_dense_layers 1 --filter 60 --num_conv_layers 4,0,,c95,1217517,518_0,COMPLETED,BOTORCH_MODULAR,58.259999999999998010480339871719,934.975000000000022737367544323206,89,0.00049702294225315479976601285,652,3999,0.014139783914041751528012369477,1,60,4
519,1762302814,572,2dea3aba-4ba9-4571-9519-13628c704362,1762303386,1762304316,930,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00050381529332000122 --batch_size 604 --hidden_size 4013 --dropout 0.00668587981587987455 --num_dense_layers 1 --filter 60 --num_conv_layers 4,0,,c85,1217516,519_0,COMPLETED,BOTORCH_MODULAR,58.880000000000002557953848736361,922.961000000000012732925824820995,87,0.000503815293320001222551751674,604,4013,0.006685879815879874552009276556,1,60,4
520,1762307756,16,2dea3aba-4ba9-4571-9519-13628c704362,1762307772,1762309397,1625,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 123 --learning_rate 0.00065945639458987889 --batch_size 88 --hidden_size 2962 --dropout 0.5 --num_dense_layers 1 --filter 53 --num_conv_layers 4,0,,c68,1217566,520_0,COMPLETED,BOTORCH_MODULAR,63.35999999999999943156581139192,1616.134000000000014551915228366852,123,0.000659456394589878888354284037,88,2962,0.5,1,53,4
521,1762307757,286,2dea3aba-4ba9-4571-9519-13628c704362,1762308043,1762309834,1791,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 143 --learning_rate 0.00091100496979212441 --batch_size 105 --hidden_size 2287 --dropout 0.5 --num_dense_layers 1 --filter 50 --num_conv_layers 4,0,,c129,1217578,521_0,COMPLETED,BOTORCH_MODULAR,62.32999999999999829469743417576,1782.230000000000018189894035458565,143,0.000911004969792124407249045426,105,2287,0.5,1,50,4
522,1762307756,16,2dea3aba-4ba9-4571-9519-13628c704362,1762307772,1762309474,1702,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 146 --learning_rate 0.00084955548115520595 --batch_size 181 --hidden_size 2369 --dropout 0.5 --num_dense_layers 2 --filter 36 --num_conv_layers 4,0,,c116,1217565,522_0,COMPLETED,BOTORCH_MODULAR,57.3999999999999985789145284798,1697.244999999999890860635787248611,146,0.000849555481155205949143904842,181,2369,0.5,2,36,4
523,1762307756,137,2dea3aba-4ba9-4571-9519-13628c704362,1762307893,1762309308,1415,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 127 --learning_rate 0.00087159717218110997 --batch_size 310 --hidden_size 2282 --dropout 0.5 --num_dense_layers 2 --filter 37 --num_conv_layers 4,0,,c26,1217575,523_0,COMPLETED,BOTORCH_MODULAR,54.5,1406.142000000000052750692702829838,127,0.000871597172181109969800461013,310,2282,0.5,2,37,4
524,1762307757,136,2dea3aba-4ba9-4571-9519-13628c704362,1762307893,1762309296,1403,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 127 --learning_rate 0.00087583645869065735 --batch_size 400 --hidden_size 2323 --dropout 0.5 --num_dense_layers 2 --filter 37 --num_conv_layers 4,0,,c27,1217574,524_0,COMPLETED,BOTORCH_MODULAR,53.509999999999998010480339871719,1399.060999999999921783455647528172,127,0.000875836458690657350747987842,400,2323,0.5,2,37,4
525,1762307756,167,2dea3aba-4ba9-4571-9519-13628c704362,1762307923,1762309143,1220,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00066386378825779042 --batch_size 253 --hidden_size 2894 --dropout 0.5 --num_dense_layers 1 --filter 52 --num_conv_layers 4,0,,c30,1217576,525_0,COMPLETED,BOTORCH_MODULAR,59.96000000000000085265128291212,1214.977000000000089130480773746967,110,0.000663863788257790417290937768,253,2894,0.5,1,52,4
526,1762307756,137,2dea3aba-4ba9-4571-9519-13628c704362,1762307893,1762309529,1636,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 124 --learning_rate 0.00085839193672896709 --batch_size 82 --hidden_size 2267 --dropout 0.5 --num_dense_layers 2 --filter 41 --num_conv_layers 4,0,,c131,1217570,526_0,COMPLETED,BOTORCH_MODULAR,60.32999999999999829469743417576,1630.251999999999952706275507807732,124,0.00085839193672896708670744248,82,2267,0.5,2,41,4
527,1762307756,16,2dea3aba-4ba9-4571-9519-13628c704362,1762307772,1762309397,1625,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 143 --learning_rate 0.0007633751201610268 --batch_size 178 --hidden_size 2540 --dropout 0.5 --num_dense_layers 1 --filter 39 --num_conv_layers 4,0,,c41,1217567,527_0,COMPLETED,BOTORCH_MODULAR,57.869999999999997442046151263639,1620.112000000000080035533756017685,143,0.000763375120161026801159087629,178,2540,0.5,1,39,4
528,1762307757,105,2dea3aba-4ba9-4571-9519-13628c704362,1762307862,1762309263,1401,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 127 --learning_rate 0.00081521960637553426 --batch_size 396 --hidden_size 2462 --dropout 0.5 --num_dense_layers 2 --filter 38 --num_conv_layers 4,0,,c53,1217569,528_0,COMPLETED,BOTORCH_MODULAR,54.689999999999997726263245567679,1393.038999999999987267074175179005,127,0.000815219606375534259351534061,396,2462,0.5,2,38,4
529,1762307757,15,2dea3aba-4ba9-4571-9519-13628c704362,1762307772,1762309046,1274,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00063046431256882018 --batch_size 125 --hidden_size 3169 --dropout 0.5 --num_dense_layers 1 --filter 60 --num_conv_layers 4,0,,c32,1217568,529_0,COMPLETED,BOTORCH_MODULAR,62.53000000000000113686837721616,1267.077999999999974534148350358009,105,0.000630464312568820178274420218,125,3169,0.5,1,60,4
530,1762307759,374,2dea3aba-4ba9-4571-9519-13628c704362,1762308133,1762309655,1522,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00062740621913763897 --batch_size 78 --hidden_size 3105 --dropout 0.5 --num_dense_layers 1 --filter 58 --num_conv_layers 4,0,,c27,1217582,530_0,COMPLETED,BOTORCH_MODULAR,64.25,1517.58500000000003637978807091713,111,0.000627406219137638973375181717,78,3105,0.5,1,58,4
531,1762307757,136,2dea3aba-4ba9-4571-9519-13628c704362,1762307893,1762309572,1679,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 121 --learning_rate 0.00065547062513578484 --batch_size 80 --hidden_size 2992 --dropout 0.5 --num_dense_layers 1 --filter 57 --num_conv_layers 4,0,,c51,1217572,531_0,COMPLETED,BOTORCH_MODULAR,64.46999999999999886313162278384,1672.445999999999912688508629798889,121,0.000655470625135784836813590548,80,2992,0.5,1,57,4
532,1762307757,136,2dea3aba-4ba9-4571-9519-13628c704362,1762307893,1762309426,1533,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 139 --learning_rate 0.00083577329398406837 --batch_size 383 --hidden_size 2403 --dropout 0.5 --num_dense_layers 1 --filter 36 --num_conv_layers 4,0,,c92,1217571,532_0,COMPLETED,BOTORCH_MODULAR,55.700000000000002842170943040401,1523.750999999999976353137753903866,139,0.000835773293984068367176720749,383,2403,0.5,1,36,4
533,1762307757,256,2dea3aba-4ba9-4571-9519-13628c704362,1762308013,1762310773,2760,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 140 --learning_rate 0.00085162170836260175 --batch_size 292 --hidden_size 2356 --dropout 0.5 --num_dense_layers 2 --filter 35 --num_conv_layers 4,0,,c71,1217577,533_0,COMPLETED,BOTORCH_MODULAR,54.5,2749.73100000000022191670723259449,140,0.000851621708362601754008225363,292,2356,0.5,2,35,4
534,1762307757,136,2dea3aba-4ba9-4571-9519-13628c704362,1762307893,1762309270,1377,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00086877995160379064 --batch_size 115 --hidden_size 2293 --dropout 0.5 --num_dense_layers 2 --filter 41 --num_conv_layers 4,0,,c46,1217573,534_0,COMPLETED,BOTORCH_MODULAR,60.03999999999999914734871708788,1368.036000000000058207660913467407,111,0.000868779951603790637215674053,115,2293,0.5,2,41,4
535,1762307757,346,2dea3aba-4ba9-4571-9519-13628c704362,1762308103,1762309379,1276,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 114 --learning_rate 0.00084305663864032922 --batch_size 247 --hidden_size 2314 --dropout 0.5 --num_dense_layers 2 --filter 39 --num_conv_layers 4,0,,c43,1217579,535_0,COMPLETED,BOTORCH_MODULAR,57.17000000000000170530256582424,1271.442000000000007275957614183426,114,0.000843056638640329219017144347,247,2314,0.5,2,39,4
536,1762307759,404,2dea3aba-4ba9-4571-9519-13628c704362,1762308163,1762309543,1380,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00080687783643037007 --batch_size 179 --hidden_size 2456 --dropout 0.5 --num_dense_layers 2 --filter 37 --num_conv_layers 4,0,,c140,1217583,536_0,COMPLETED,BOTORCH_MODULAR,57.159999999999996589394868351519,1371.753999999999905412551015615463,120,0.000806877836430370067900830211,179,2456,0.5,2,37,4
537,1762307760,374,2dea3aba-4ba9-4571-9519-13628c704362,1762308134,1762309648,1514,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 145 --learning_rate 0.00083608912258076383 --batch_size 673 --hidden_size 2374 --dropout 0 --num_dense_layers 1 --filter 36 --num_conv_layers 4,0,,c39,1217581,537_0,COMPLETED,BOTORCH_MODULAR,56.759999999999998010480339871719,1504.955999999999903593561612069607,145,0.00083608912258076382821581074,673,2374,0,1,36,4
538,1762307759,375,2dea3aba-4ba9-4571-9519-13628c704362,1762308134,1762309750,1616,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 122 --learning_rate 0.00063527071663705163 --batch_size 114 --hidden_size 3058 --dropout 0.5 --num_dense_layers 1 --filter 57 --num_conv_layers 4,0,,c147,1217580,538_0,COMPLETED,BOTORCH_MODULAR,62.46999999999999886313162278384,1610.518000000000029103830456733704,122,0.000635270716637051629377408446,114,3058,0.5,1,57,4
539,1762307763,430,2dea3aba-4ba9-4571-9519-13628c704362,1762308193,1762309769,1576,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 118 --learning_rate 0.00064877635075166306 --batch_size 82 --hidden_size 3068 --dropout 0.5 --num_dense_layers 1 --filter 57 --num_conv_layers 4,0,,c125,1217584,539_0,COMPLETED,BOTORCH_MODULAR,63.939999999999997726263245567679,1571.363000000000056388671509921551,118,0.000648776350751663062436935814,82,3068,0.5,1,57,4
540,1762313959,16,2dea3aba-4ba9-4571-9519-13628c704362,1762313975,1762315341,1366,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 121 --learning_rate 0.00082277772003017948 --batch_size 328 --hidden_size 2560 --dropout 0.02463831940685565561 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c149,1217632,540_0,COMPLETED,BOTORCH_MODULAR,61.17999999999999971578290569596,1357.415999999999939973349682986736,121,0.000822777720030179481915111328,328,2560,0.024638319406855655607779809202,1,80,7
541,1762313959,55,2dea3aba-4ba9-4571-9519-13628c704362,1762314014,1762315436,1422,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 124 --learning_rate 0.00080463703252781668 --batch_size 320 --hidden_size 2475 --dropout 0 --num_dense_layers 1 --filter 79 --num_conv_layers 7,0,,c137,1217646,541_0,COMPLETED,BOTORCH_MODULAR,61,1416.419000000000096406438387930393,124,0.000804637032527816676956422537,320,2475,0,1,79,7
542,1762313958,16,2dea3aba-4ba9-4571-9519-13628c704362,1762313974,1762315653,1679,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 139 --learning_rate 0.00075011548414748272 --batch_size 146 --hidden_size 2198 --dropout 0.27791134026077318753 --num_dense_layers 1 --filter 68 --num_conv_layers 4,0,,c152,1217628,542_0,COMPLETED,BOTORCH_MODULAR,63.28000000000000113686837721616,1672.811999999999898136593401432037,139,0.000750115484147482721247190973,146,2198,0.277911340260773187527121308449,1,68,4
543,1762313958,50,2dea3aba-4ba9-4571-9519-13628c704362,1762314008,1762315354,1346,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00067190697120624477 --batch_size 334 --hidden_size 1871 --dropout 0 --num_dense_layers 1 --filter 61 --num_conv_layers 7,0,,c143,1217638,543_0,COMPLETED,BOTORCH_MODULAR,56.560000000000002273736754432321,1330.02600000000006730260793119669,120,0.000671906971206244767354232028,334,1871,0,1,61,7
544,1762313959,16,2dea3aba-4ba9-4571-9519-13628c704362,1762313975,1762315359,1384,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 122 --learning_rate 0.00083377796188299714 --batch_size 355 --hidden_size 2939 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c149,1217631,544_0,COMPLETED,BOTORCH_MODULAR,63.82000000000000028421709430404,1378.185999999999921783455647528172,122,0.000833777961882997144769935627,355,2939,0.5,1,80,7
545,1762313959,55,2dea3aba-4ba9-4571-9519-13628c704362,1762314014,1762315600,1586,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00083058076499627784 --batch_size 863 --hidden_size 2647 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c140,1217642,545_0,COMPLETED,BOTORCH_MODULAR,56.78000000000000113686837721616,1583.400000000000090949470177292824,150,0.000830580764996277838042859631,863,2647,0.5,1,80,4
546,1762313958,16,2dea3aba-4ba9-4571-9519-13628c704362,1762313974,1762315585,1611,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00088000838486105605 --batch_size 494 --hidden_size 2832 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c149,1217630,546_0,COMPLETED,BOTORCH_MODULAR,58.810000000000002273736754432321,1607.368999999999914507498033344746,150,0.000880008384861056050518790528,494,2832,0.5,1,80,4
547,1762313959,35,2dea3aba-4ba9-4571-9519-13628c704362,1762313994,1762315334,1340,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00083564848260395672 --batch_size 327 --hidden_size 2735 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c140,1217641,547_0,COMPLETED,BOTORCH_MODULAR,63.64000000000000056843418860808,1333.219000000000050931703299283981,120,0.000835648482603956722046534278,327,2735,0.5,1,80,7
548,1762313959,15,2dea3aba-4ba9-4571-9519-13628c704362,1762313974,1762315327,1353,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 119 --learning_rate 0.0008454790652571133 --batch_size 327 --hidden_size 2960 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c148,1217633,548_0,COMPLETED,BOTORCH_MODULAR,63.96000000000000085265128291212,1345.384999999999990905052982270718,119,0.000845479065257113298649527255,327,2960,0.5,1,80,7
549,1762313958,17,2dea3aba-4ba9-4571-9519-13628c704362,1762313975,1762315763,1788,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 136 --learning_rate 0.00079935654707227949 --batch_size 109 --hidden_size 2432 --dropout 0.5 --num_dense_layers 1 --filter 78 --num_conv_layers 4,0,,c151,1217629,549_0,COMPLETED,BOTORCH_MODULAR,65.25,1781.845000000000027284841053187847,136,0.000799356547072279494635382857,109,2432,0.5,1,78,4
550,1762313959,51,2dea3aba-4ba9-4571-9519-13628c704362,1762314010,1762315366,1356,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 119 --learning_rate 0.00083594712604792424 --batch_size 328 --hidden_size 2887 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c143,1217637,550_0,COMPLETED,BOTORCH_MODULAR,64.450000000000002842170943040401,1348.278000000000020008883439004421,119,0.000835947126047924238788355833,328,2887,0.5,1,80,7
551,1762313960,15,2dea3aba-4ba9-4571-9519-13628c704362,1762313975,1762315313,1338,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00081245249350189101 --batch_size 327 --hidden_size 2438 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c146,1217636,551_0,COMPLETED,BOTORCH_MODULAR,63.8500000000000014210854715202,1332.549999999999954525264911353588,120,0.000812452493501891010937998594,327,2438,0.5,1,80,7
552,1762313959,17,2dea3aba-4ba9-4571-9519-13628c704362,1762313976,1762315397,1421,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 121 --learning_rate 0.00078793143260969466 --batch_size 330 --hidden_size 2304 --dropout 0.5 --num_dense_layers 1 --filter 78 --num_conv_layers 7,0,,c147,1217634,552_0,COMPLETED,BOTORCH_MODULAR,63.259999999999998010480339871719,1411.196999999999889041646383702755,121,0.000787931432609694664716271095,330,2304,0.5,1,78,7
553,1762313959,16,2dea3aba-4ba9-4571-9519-13628c704362,1762313975,1762315319,1344,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00068740650512878483 --batch_size 325 --hidden_size 1993 --dropout 0 --num_dense_layers 1 --filter 63 --num_conv_layers 7,0,,c146,1217635,553_0,COMPLETED,BOTORCH_MODULAR,57.96000000000000085265128291212,1340.807000000000016370904631912708,120,0.000687406505128784826690047094,325,1993,0,1,63,7
554,1762313959,51,2dea3aba-4ba9-4571-9519-13628c704362,1762314010,1762315366,1356,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.0006423148363516218 --batch_size 325 --hidden_size 1781 --dropout 0 --num_dense_layers 1 --filter 61 --num_conv_layers 7,0,,c143,1217639,554_0,COMPLETED,BOTORCH_MODULAR,57.630000000000002557953848736361,1349.050999999999930878402665257454,120,0.000642314836351621804705347429,325,1781,0,1,61,7
555,1762313959,28,2dea3aba-4ba9-4571-9519-13628c704362,1762313987,1762315609,1622,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 140 --learning_rate 0.00066632871249093582 --batch_size 181 --hidden_size 2026 --dropout 0 --num_dense_layers 1 --filter 64 --num_conv_layers 4,0,,c143,1217640,555_0,COMPLETED,BOTORCH_MODULAR,60.64000000000000056843418860808,1617.582000000000107320374809205532,140,0.000666328712490935818994752804,181,2026,0,1,64,4
556,1762313962,52,2dea3aba-4ba9-4571-9519-13628c704362,1762314014,1762315351,1337,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 119 --learning_rate 0.00083604830044812096 --batch_size 327 --hidden_size 2868 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c139,1217644,556_0,COMPLETED,BOTORCH_MODULAR,63.770000000000003126388037344441,1328.771999999999934516381472349167,119,0.000836048300448120960785824973,327,2868,0.5,1,80,7
557,1762313962,52,2dea3aba-4ba9-4571-9519-13628c704362,1762314014,1762315691,1677,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.0008471724261157849 --batch_size 473 --hidden_size 2830 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c138,1217645,557_0,COMPLETED,BOTORCH_MODULAR,63.07999999999999829469743417576,1667.281999999999925421434454619884,150,0.000847172426115784895674087895,473,2830,0.5,1,80,7
558,1762313962,54,2dea3aba-4ba9-4571-9519-13628c704362,1762314016,1762315718,1702,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 134 --learning_rate 0.00078629900285276464 --batch_size 122 --hidden_size 2344 --dropout 0.5 --num_dense_layers 1 --filter 75 --num_conv_layers 4,0,,c139,1217643,558_0,COMPLETED,BOTORCH_MODULAR,64.060000000000002273736754432321,1693.722999999999956344254314899445,134,0.00078629900285276464310529887,122,2344,0.5,1,75,4
559,1762313966,68,2dea3aba-4ba9-4571-9519-13628c704362,1762314034,1762315362,1328,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 118 --learning_rate 0.00078252049438494204 --batch_size 325 --hidden_size 2364 --dropout 0 --num_dense_layers 1 --filter 76 --num_conv_layers 7,0,,c136,1217647,559_0,COMPLETED,BOTORCH_MODULAR,59.950000000000002842170943040401,1324.40799999999990177457220852375,118,0.000782520494384942037931207626,325,2364,0,1,76,7
560,1762319837,4,2dea3aba-4ba9-4571-9519-13628c704362,1762319841,1762320885,1044,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00076082814943857009 --batch_size 337 --hidden_size 1323 --dropout 0 --num_dense_layers 2 --filter 31 --num_conv_layers 4,0,,c155,1217691,560_0,COMPLETED,BOTORCH_MODULAR,52.590000000000003410605131648481,1039.021999999999934516381472349167,98,0.000760828149438570093890388257,337,1323,0,2,31,4
561,1762319837,29,2dea3aba-4ba9-4571-9519-13628c704362,1762319866,1762320949,1083,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00075346161102953532 --batch_size 338 --hidden_size 2799 --dropout 0.5 --num_dense_layers 1 --filter 78 --num_conv_layers 4,0,,c128,1217694,561_0,COMPLETED,BOTORCH_MODULAR,60.490000000000001989519660128281,1076.561999999999898136593401432037,97,0.000753461611029535320224748141,338,2799,0.5,1,78,4
562,1762319837,7,2dea3aba-4ba9-4571-9519-13628c704362,1762319844,1762320929,1085,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00069803896092870662 --batch_size 334 --hidden_size 1406 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c155,1217692,562_0,COMPLETED,BOTORCH_MODULAR,57.880000000000002557953848736361,1077.791999999999916326487436890602,98,0.000698038960928706615077787845,334,1406,0.5,1,80,4
563,1762319838,48,2dea3aba-4ba9-4571-9519-13628c704362,1762319886,1762320967,1081,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00072605348879494912 --batch_size 335 --hidden_size 2005 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c124,1217705,563_0,COMPLETED,BOTORCH_MODULAR,59.6499999999999985789145284798,1073.964999999999918145476840436459,98,0.000726053488794949119025656792,335,2005,0.5,1,80,4
564,1762319838,29,2dea3aba-4ba9-4571-9519-13628c704362,1762319867,1762320916,1049,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 96 --learning_rate 0.00084494157016588183 --batch_size 333 --hidden_size 808 --dropout 0 --num_dense_layers 2 --filter 51 --num_conv_layers 4,0,,c127,1217696,564_0,COMPLETED,BOTORCH_MODULAR,55.28999999999999914734871708788,1042.587999999999965439201332628727,96,0.000844941570165881833745502583,333,808,0,2,51,4
565,1762319837,4,2dea3aba-4ba9-4571-9519-13628c704362,1762319841,1762320955,1114,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00077004845536488703 --batch_size 350 --hidden_size 2898 --dropout 0.5 --num_dense_layers 1 --filter 77 --num_conv_layers 4,0,,c153,1217693,565_0,COMPLETED,BOTORCH_MODULAR,61.409999999999996589394868351519,1104.346000000000003637978807091713,97,0.000770048455364887030061282758,350,2898,0.5,1,77,4
566,1762319838,29,2dea3aba-4ba9-4571-9519-13628c704362,1762319867,1762320971,1104,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00065205249999462141 --batch_size 329 --hidden_size 3558 --dropout 0 --num_dense_layers 1 --filter 66 --num_conv_layers 4,0,,c125,1217702,566_0,COMPLETED,BOTORCH_MODULAR,60.1000000000000014210854715202,1095.491999999999961801222525537014,98,0.000652052499994621413692552636,329,3558,0,1,66,4
567,1762319839,42,2dea3aba-4ba9-4571-9519-13628c704362,1762319881,1762320119,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00079575406324970482 --batch_size 1024 --hidden_size 2700 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c122,1217706,567_0,COMPLETED,BOTORCH_MODULAR,49.689999999999997726263245567679,230.378999999999990677679306827486,20,0.000795754063249704815183327433,1024,2700,0,2,80,4
568,1762319838,23,2dea3aba-4ba9-4571-9519-13628c704362,1762319861,1762320942,1081,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00067197375688661921 --batch_size 334 --hidden_size 1539 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c128,1217695,568_0,COMPLETED,BOTORCH_MODULAR,57.549999999999997157829056959599,1074.469000000000050931703299283981,99,0.000671973756886619214868938688,334,1539,0.5,1,80,4
569,1762319839,28,2dea3aba-4ba9-4571-9519-13628c704362,1762319867,1762320949,1082,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00066967206204840782 --batch_size 339 --hidden_size 2008 --dropout 0.46364974765621103092 --num_dense_layers 1 --filter 68 --num_conv_layers 4,0,,c127,1217699,569_0,COMPLETED,BOTORCH_MODULAR,58.67000000000000170530256582424,1072.727000000000089130480773746967,97,0.000669672062048407815311457103,339,2008,0.463649747656211030921724614018,1,68,4
570,1762319838,29,2dea3aba-4ba9-4571-9519-13628c704362,1762319867,1762320106,239,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00080424239058754521 --batch_size 1024 --hidden_size 2849 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c127,1217697,570_0,COMPLETED,BOTORCH_MODULAR,49.6499999999999985789145284798,228.242999999999994997779140248895,20,0.000804242390587545205767050494,1024,2849,0,2,80,4
571,1762319838,43,2dea3aba-4ba9-4571-9519-13628c704362,1762319881,1762320970,1089,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00066754657685973726 --batch_size 333 --hidden_size 1532 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c125,1217703,571_0,COMPLETED,BOTORCH_MODULAR,58.32000000000000028421709430404,1080.891000000000076397554948925972,98,0.000667546576859737259695970479,333,1532,0.5,1,80,4
572,1762319839,28,2dea3aba-4ba9-4571-9519-13628c704362,1762319867,1762320960,1093,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00066529329484088854 --batch_size 335 --hidden_size 3122 --dropout 0.34628437920342941547 --num_dense_layers 1 --filter 66 --num_conv_layers 4,0,,c127,1217698,572_0,COMPLETED,BOTORCH_MODULAR,60.810000000000002273736754432321,1088.795000000000072759576141834259,97,0.000665293294840888535350564847,335,3122,0.346284379203429415472470509485,1,66,4
573,1762319839,28,2dea3aba-4ba9-4571-9519-13628c704362,1762319867,1762320943,1076,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 96 --learning_rate 0.00069200702130776915 --batch_size 342 --hidden_size 3765 --dropout 0 --num_dense_layers 1 --filter 68 --num_conv_layers 4,0,,c126,1217701,573_0,COMPLETED,BOTORCH_MODULAR,59.82000000000000028421709430404,1067.549999999999954525264911353588,96,0.000692007021307769151254041251,342,3765,0,1,68,4
574,1762319839,42,2dea3aba-4ba9-4571-9519-13628c704362,1762319881,1762321558,1677,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 126 --learning_rate 0.0007098988542356085 --batch_size 93 --hidden_size 3648 --dropout 0 --num_dense_layers 1 --filter 63 --num_conv_layers 5,0,,c124,1217704,574_0,COMPLETED,BOTORCH_MODULAR,63.32000000000000028421709430404,1670.127999999999929059413261711597,126,0.000709898854235608504220644832,93,3648,0,1,63,5
575,1762319838,29,2dea3aba-4ba9-4571-9519-13628c704362,1762319867,1762321004,1137,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00076011858355063246 --batch_size 341 --hidden_size 3884 --dropout 0 --num_dense_layers 1 --filter 79 --num_conv_layers 4,0,,c126,1217700,575_0,COMPLETED,BOTORCH_MODULAR,60.57999999999999829469743417576,1127.645999999999958163243718445301,98,0.000760118583550632460205109808,341,3884,0,1,79,4
576,1762319841,42,2dea3aba-4ba9-4571-9519-13628c704362,1762319883,1762320985,1102,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00077532819290898191 --batch_size 324 --hidden_size 3873 --dropout 0 --num_dense_layers 2 --filter 41 --num_conv_layers 4,0,,c119,1217707,576_0,COMPLETED,BOTORCH_MODULAR,52.409999999999996589394868351519,1096.048000000000001818989403545856,98,0.000775328192908981907345566942,324,3873,0,2,41,4
577,1762319841,40,2dea3aba-4ba9-4571-9519-13628c704362,1762319881,1762320960,1079,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00069014362190927543 --batch_size 334 --hidden_size 1883 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c119,1217708,577_0,COMPLETED,BOTORCH_MODULAR,58.840000000000003410605131648481,1074.355000000000018189894035458565,98,0.000690143621909275429768260146,334,1883,0.5,1,80,4
578,1762319841,40,2dea3aba-4ba9-4571-9519-13628c704362,1762319881,1762321445,1564,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00062475030061028393 --batch_size 73 --hidden_size 1638 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 5,0,,c119,1217709,578_0,COMPLETED,BOTORCH_MODULAR,67.60999999999999943156581139192,1558.852000000000089130480773746967,110,0.000624750300610283932495336856,73,1638,0.5,1,80,5
579,1762319844,53,2dea3aba-4ba9-4571-9519-13628c704362,1762319897,1762320993,1096,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00076574780273486274 --batch_size 334 --hidden_size 2366 --dropout 0.5 --num_dense_layers 1 --filter 78 --num_conv_layers 4,0,,c118,1217710,579_0,COMPLETED,BOTORCH_MODULAR,60.57000000000000028421709430404,1087.72399999999993269739206880331,98,0.000765747802734862738349708167,334,2366,0.5,1,78,4
580,1762326168,9,2dea3aba-4ba9-4571-9519-13628c704362,1762326177,1762326598,421,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00079742579705284261 --batch_size 468 --hidden_size 1389 --dropout 0.5 --num_dense_layers 1 --filter 77 --num_conv_layers 6,0,,c148,1217797,580_0,COMPLETED,BOTORCH_MODULAR,61.28000000000000113686837721616,411.648000000000024556356947869062,37,0.000797425797052842607465228397,468,1389,0.5,1,77,6
581,1762326169,8,2dea3aba-4ba9-4571-9519-13628c704362,1762326177,1762326592,415,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00084120463786435261 --batch_size 471 --hidden_size 2828 --dropout 0.5 --num_dense_layers 1 --filter 79 --num_conv_layers 6,0,,c129,1217799,581_0,COMPLETED,BOTORCH_MODULAR,62.909999999999996589394868351519,408.949000000000012278178473934531,37,0.000841204637864352610179818903,471,2828,0.5,1,79,6
582,1762326169,28,2dea3aba-4ba9-4571-9519-13628c704362,1762326197,1762326633,436,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.0007585168223470638 --batch_size 466 --hidden_size 1676 --dropout 0.5 --num_dense_layers 1 --filter 70 --num_conv_layers 6,0,,c126,1217807,582_0,COMPLETED,BOTORCH_MODULAR,60.21999999999999886313162278384,426.588000000000022282620193436742,38,0.000758516822347063803325117881,466,1676,0.5,1,70,6
583,1762326168,9,2dea3aba-4ba9-4571-9519-13628c704362,1762326177,1762326590,413,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00080729065479125139 --batch_size 471 --hidden_size 1399 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c155,1217796,583_0,COMPLETED,BOTORCH_MODULAR,61.130000000000002557953848736361,406.906000000000005911715561524034,37,0.000807290654791251388947004308,471,1399,0.5,1,80,6
584,1762326168,9,2dea3aba-4ba9-4571-9519-13628c704362,1762326177,1762326629,452,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 41 --learning_rate 0.0008653408306974682 --batch_size 462 --hidden_size 2761 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c130,1217798,584_0,COMPLETED,BOTORCH_MODULAR,63.380000000000002557953848736361,447.288999999999987267074175179005,41,0.000865340830697468202208078036,462,2761,0.5,1,80,6
585,1762326169,8,2dea3aba-4ba9-4571-9519-13628c704362,1762326177,1762326601,424,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00078794575444178776 --batch_size 471 --hidden_size 2047 --dropout 0.5 --num_dense_layers 1 --filter 69 --num_conv_layers 5,0,,c128,1217801,585_0,COMPLETED,BOTORCH_MODULAR,60.880000000000002557953848736361,416.428999999999973624653648585081,37,0.000787945754441787761697402193,471,2047,0.5,1,69,5
586,1762326169,17,2dea3aba-4ba9-4571-9519-13628c704362,1762326186,1762326611,425,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00092326907605039677 --batch_size 467 --hidden_size 1024 --dropout 0.5 --num_dense_layers 1 --filter 62 --num_conv_layers 6,0,,c127,1217802,586_0,COMPLETED,BOTORCH_MODULAR,58.659999999999996589394868351519,416.644999999999981810105964541435,38,0.000923269076050396773729100897,467,1024,0.5,1,62,6
587,1762326169,30,2dea3aba-4ba9-4571-9519-13628c704362,1762326199,1762326630,431,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00071445033911486623 --batch_size 464 --hidden_size 1550 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c125,1217809,587_0,COMPLETED,BOTORCH_MODULAR,61.200000000000002842170943040401,425.298999999999978172127157449722,38,0.000714450339114866225277700185,464,1550,0.5,1,80,6
588,1762326170,12,2dea3aba-4ba9-4571-9519-13628c704362,1762326182,1762326612,430,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00086678085603226107 --batch_size 470 --hidden_size 2985 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c127,1217803,588_0,COMPLETED,BOTORCH_MODULAR,63.39000000000000056843418860808,422.70400000000000773070496506989,38,0.000866780856032261072877109775,470,2985,0.5,1,80,6
589,1762326170,13,2dea3aba-4ba9-4571-9519-13628c704362,1762326183,1762326608,425,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00078369754422060389 --batch_size 470 --hidden_size 2922 --dropout 0.5 --num_dense_layers 1 --filter 76 --num_conv_layers 6,0,,c127,1217804,589_0,COMPLETED,BOTORCH_MODULAR,62.159999999999996589394868351519,413.690999999999974079400999471545,37,0.000783697544220603886135079197,470,2922,0.5,1,76,6
590,1762326170,27,2dea3aba-4ba9-4571-9519-13628c704362,1762326197,1762326617,420,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00076719227897114673 --batch_size 462 --hidden_size 1492 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c124,1217810,590_0,COMPLETED,BOTORCH_MODULAR,61.21999999999999886313162278384,413.036000000000001364242052659392,37,0.000767192278971146729947550025,462,1492,0.5,1,80,6
591,1762326170,27,2dea3aba-4ba9-4571-9519-13628c704362,1762326197,1762326616,419,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.0008655329414848029 --batch_size 468 --hidden_size 657 --dropout 0.5 --num_dense_layers 2 --filter 65 --num_conv_layers 5,0,,c124,1217811,591_0,COMPLETED,BOTORCH_MODULAR,51.8500000000000014210854715202,410.091000000000008185452315956354,37,0.000865532941484802899323458547,468,657,0.5,2,65,5
592,1762326169,11,2dea3aba-4ba9-4571-9519-13628c704362,1762326180,1762326605,425,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00078168758363523247 --batch_size 469 --hidden_size 2029 --dropout 0.5 --num_dense_layers 1 --filter 77 --num_conv_layers 5,0,,c128,1217800,592_0,COMPLETED,BOTORCH_MODULAR,61.240000000000001989519660128281,416.596999999999979991116560995579,37,0.000781687583635232467391129596,469,2029,0.5,1,77,5
593,1762326170,12,2dea3aba-4ba9-4571-9519-13628c704362,1762326182,1762326619,437,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00080131270557396903 --batch_size 467 --hidden_size 3647 --dropout 0.5 --num_dense_layers 1 --filter 66 --num_conv_layers 4,0,,c127,1217805,593_0,COMPLETED,BOTORCH_MODULAR,56.82000000000000028421709430404,428.005999999999971805664245039225,38,0.000801312705573969030412029291,467,3647,0.5,1,66,4
594,1762326169,28,2dea3aba-4ba9-4571-9519-13628c704362,1762326197,1762326621,424,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00078016773910091503 --batch_size 469 --hidden_size 1422 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c125,1217808,594_0,COMPLETED,BOTORCH_MODULAR,61.479999999999996873611962655559,415.536999999999977717379806563258,37,0.000780167739100915032246508218,469,1422,0.5,1,80,6
595,1762326170,29,2dea3aba-4ba9-4571-9519-13628c704362,1762326199,1762326637,438,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00075992970384475235 --batch_size 460 --hidden_size 1379 --dropout 0.5 --num_dense_layers 1 --filter 75 --num_conv_layers 6,0,,c126,1217806,595_0,COMPLETED,BOTORCH_MODULAR,60.96000000000000085265128291212,434.120000000000004547473508864641,38,0.000759929703844752345992530351,460,1379,0.5,1,75,6
596,1762326178,20,2dea3aba-4ba9-4571-9519-13628c704362,1762326198,1762326618,420,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00085719195216333991 --batch_size 471 --hidden_size 810 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c122,1217812,596_0,COMPLETED,BOTORCH_MODULAR,55.939999999999997726263245567679,414.358999999999980445863911882043,37,0.00085719195216333991284296534,471,810,0.5,2,80,5
597,1762326178,19,2dea3aba-4ba9-4571-9519-13628c704362,1762326197,1762326615,418,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.0007663501168801997 --batch_size 467 --hidden_size 1435 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c119,1217813,597_0,COMPLETED,BOTORCH_MODULAR,60.840000000000003410605131648481,412.03300000000001546140993013978,37,0.000766350116880199698325693003,467,1435,0.5,1,80,6
598,1762326178,21,2dea3aba-4ba9-4571-9519-13628c704362,1762326199,1762326631,432,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.0008744395413402391 --batch_size 468 --hidden_size 3217 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c119,1217814,598_0,COMPLETED,BOTORCH_MODULAR,62.92999999999999971578290569596,425.297000000000025465851649641991,38,0.000874439541340239095447428586,468,3217,0.5,1,80,6
599,1762326178,21,2dea3aba-4ba9-4571-9519-13628c704362,1762326199,1762326635,436,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00085448562932304527 --batch_size 467 --hidden_size 3211 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c119,1217815,599_0,COMPLETED,BOTORCH_MODULAR,63.21000000000000085265128291212,430.406999999999982264853315427899,38,0.00085448562932304527022669971,467,3211,0.5,1,80,6
600,1762332275,4,2dea3aba-4ba9-4571-9519-13628c704362,1762332279,1762333969,1690,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00063563498398804994 --batch_size 358 --hidden_size 3160 --dropout 0.5 --num_dense_layers 1 --filter 70 --num_conv_layers 6,0,,c143,1217926,600_0,COMPLETED,BOTORCH_MODULAR,62.78000000000000113686837721616,1684.924999999999954525264911353588,150,0.000635634983988049941973363932,358,3160,0.5,1,70,6
601,1762332276,23,2dea3aba-4ba9-4571-9519-13628c704362,1762332299,1762333920,1621,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.0006220982165143187 --batch_size 358 --hidden_size 2099 --dropout 0.5 --num_dense_layers 1 --filter 48 --num_conv_layers 5,0,,c106,1217941,601_0,COMPLETED,BOTORCH_MODULAR,59.689999999999997726263245567679,1616.990999999999985448084771633148,150,0.000622098216514318700341712454,358,2099,0.5,1,48,5
602,1762332276,15,2dea3aba-4ba9-4571-9519-13628c704362,1762332291,1762334104,1813,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00057299248172577291 --batch_size 362 --hidden_size 1112 --dropout 0.5 --num_dense_layers 1 --filter 77 --num_conv_layers 7,0,,c133,1217935,602_0,COMPLETED,BOTORCH_MODULAR,62.07999999999999829469743417576,1805.520999999999958163243718445301,150,0.000572992481725772911070604376,362,1112,0.5,1,77,7
603,1762332277,14,2dea3aba-4ba9-4571-9519-13628c704362,1762332291,1762332878,587,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00078524915081236121 --batch_size 776 --hidden_size 1086 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c136,1217933,603_0,COMPLETED,BOTORCH_MODULAR,60.1499999999999985789145284798,579.072000000000002728484105318785,54,0.000785249150812361205141465259,776,1086,0.5,1,80,6
604,1762332276,16,2dea3aba-4ba9-4571-9519-13628c704362,1762332292,1762333902,1610,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00060276034566384296 --batch_size 360 --hidden_size 2139 --dropout 0.47833048188332982775 --num_dense_layers 1 --filter 41 --num_conv_layers 5,0,,c139,1217929,604_0,COMPLETED,BOTORCH_MODULAR,58.509999999999998010480339871719,1603.127999999999929059413261711597,150,0.000602760345663842962704581652,360,2139,0.478330481883329827752504570526,1,41,5
605,1762332276,17,2dea3aba-4ba9-4571-9519-13628c704362,1762332293,1762333923,1630,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00043667772663789987 --batch_size 358 --hidden_size 1367 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c136,1217934,605_0,COMPLETED,BOTORCH_MODULAR,60.92000000000000170530256582424,1626.654999999999972715158946812153,150,0.00043667772663789986833590695,358,1367,0.5,1,80,7
606,1762332275,5,2dea3aba-4ba9-4571-9519-13628c704362,1762332280,1762333215,935,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00083889807825364459 --batch_size 159 --hidden_size 3184 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c143,1217927,606_0,COMPLETED,BOTORCH_MODULAR,66.159999999999996589394868351519,929.503000000000042746250983327627,77,0.000838898078253644589007131938,159,3184,0.5,1,80,6
607,1762332276,16,2dea3aba-4ba9-4571-9519-13628c704362,1762332292,1762333156,864,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 76 --learning_rate 0.0005553125829659048 --batch_size 377 --hidden_size 1369 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c139,1217931,607_0,COMPLETED,BOTORCH_MODULAR,62.560000000000002273736754432321,857.057000000000016370904631912708,76,0.000555312582965904796145073519,377,1369,0.5,1,80,7
608,1762332275,5,2dea3aba-4ba9-4571-9519-13628c704362,1762332280,1762333941,1661,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00053538246080158292 --batch_size 358 --hidden_size 3556 --dropout 0 --num_dense_layers 1 --filter 71 --num_conv_layers 6,0,,c143,1217928,608_0,COMPLETED,BOTORCH_MODULAR,59.729999999999996873611962655559,1658.297000000000025465851649641991,150,0.000535382460801582917356289393,358,3556,0,1,71,6
609,1762332278,23,2dea3aba-4ba9-4571-9519-13628c704362,1762332301,1762333127,826,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00085538135199627729 --batch_size 361 --hidden_size 3017 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c106,1217940,609_0,COMPLETED,BOTORCH_MODULAR,64.379999999999995452526491135359,818.360999999999989995558280497789,72,0.000855381351996277287941250478,361,3017,0.5,1,80,6
610,1762332277,14,2dea3aba-4ba9-4571-9519-13628c704362,1762332291,1762333937,1646,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.0004405997724288209 --batch_size 358 --hidden_size 1372 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c132,1217937,610_0,COMPLETED,BOTORCH_MODULAR,60.96000000000000085265128291212,1642.172000000000025465851649641991,150,0.000440599772428820898265838801,358,1372,0.5,1,80,7
611,1762332277,15,2dea3aba-4ba9-4571-9519-13628c704362,1762332292,1762333968,1676,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00065120716087585517 --batch_size 359 --hidden_size 3328 --dropout 0.5 --num_dense_layers 1 --filter 72 --num_conv_layers 6,0,,c107,1217939,611_0,COMPLETED,BOTORCH_MODULAR,63.090000000000003410605131648481,1667.807000000000016370904631912708,150,0.000651207160875855173287618527,359,3328,0.5,1,72,6
612,1762332276,21,2dea3aba-4ba9-4571-9519-13628c704362,1762332297,1762333122,825,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00081216818864127583 --batch_size 369 --hidden_size 2950 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c139,1217930,612_0,COMPLETED,BOTORCH_MODULAR,64.340000000000003410605131648481,814.707999999999969986674841493368,73,0.000812168188641275825070953154,369,2950,0.5,1,80,6
613,1762332277,15,2dea3aba-4ba9-4571-9519-13628c704362,1762332292,1762333133,841,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00080718826579605457 --batch_size 175 --hidden_size 3048 --dropout 0.5 --num_dense_layers 1 --filter 77 --num_conv_layers 6,0,,c107,1217938,613_0,COMPLETED,BOTORCH_MODULAR,65.290000000000006252776074688882,836.365000000000009094947017729282,69,0.000807188265796054569764517161,175,3048,0.5,1,77,6
614,1762332277,20,2dea3aba-4ba9-4571-9519-13628c704362,1762332297,1762333936,1639,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00067252184463509595 --batch_size 358 --hidden_size 1061 --dropout 0.5 --num_dense_layers 1 --filter 51 --num_conv_layers 7,0,,c139,1217932,614_0,COMPLETED,BOTORCH_MODULAR,57.96000000000000085265128291212,1635.546000000000049112713895738125,150,0.000672521844635095948639058605,358,1061,0.5,1,51,7
615,1762332277,19,2dea3aba-4ba9-4571-9519-13628c704362,1762332296,1762333078,782,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.0006758549038526682 --batch_size 356 --hidden_size 1460 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c133,1217936,615_0,COMPLETED,BOTORCH_MODULAR,62.439999999999997726263245567679,777.94100000000003092281986027956,71,0.000675854903852668204185250023,356,1460,0.5,1,80,6
616,1762332285,14,2dea3aba-4ba9-4571-9519-13628c704362,1762332299,1762333901,1602,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00054834391071617008 --batch_size 353 --hidden_size 2372 --dropout 0 --num_dense_layers 1 --filter 26 --num_conv_layers 6,0,,c95,1217944,616_0,COMPLETED,BOTORCH_MODULAR,51.92000000000000170530256582424,1592.568999999999959982233121991158,150,0.000548343910716170084528042761,353,2372,0,1,26,6
617,1762332285,19,2dea3aba-4ba9-4571-9519-13628c704362,1762332304,1762333917,1613,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00060244874223004934 --batch_size 358 --hidden_size 1936 --dropout 0.5 --num_dense_layers 1 --filter 56 --num_conv_layers 5,0,,c104,1217942,617_0,COMPLETED,BOTORCH_MODULAR,61.090000000000003410605131648481,1602.653000000000020008883439004421,150,0.000602448742230049343049369526,358,1936,0.5,1,56,5
618,1762332285,14,2dea3aba-4ba9-4571-9519-13628c704362,1762332299,1762333984,1685,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00051276709708957089 --batch_size 344 --hidden_size 679 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c95,1217943,618_0,COMPLETED,BOTORCH_MODULAR,61.21000000000000085265128291212,1679.69800000000009276845958083868,150,0.000512767097089570885251608168,344,679,0,1,80,6
619,1762332285,14,2dea3aba-4ba9-4571-9519-13628c704362,1762332299,1762333942,1643,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00046382232960186269 --batch_size 352 --hidden_size 1643 --dropout 0.5 --num_dense_layers 1 --filter 59 --num_conv_layers 6,0,,c93,1217945,619_0,COMPLETED,BOTORCH_MODULAR,58.740000000000001989519660128281,1633.272999999999910869519226253033,150,0.000463822329601862694877650872,352,1643,0.5,1,59,6
620,1762339397,119,2dea3aba-4ba9-4571-9519-13628c704362,1762339516,1762341243,1727,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 144 --learning_rate 0.00079319505175100107 --batch_size 194 --hidden_size 2604 --dropout 0.5 --num_dense_layers 1 --filter 71 --num_conv_layers 6,0,,c61,1219244,620_0,COMPLETED,BOTORCH_MODULAR,64.60999999999999943156581139192,1722.41499999999996362021192908287,144,0.000793195051751001065087898212,194,2604,0.5,1,71,6
621,1762339396,35,2dea3aba-4ba9-4571-9519-13628c704362,1762339431,1762340774,1343,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 95 --learning_rate 0.00078334001577332665 --batch_size 80 --hidden_size 2132 --dropout 0.5 --num_dense_layers 1 --filter 67 --num_conv_layers 6,0,,c68,1219235,621_0,COMPLETED,BOTORCH_MODULAR,65.269999999999996020960679743439,1340.121000000000094587448984384537,95,0.000783340015773326646397745066,80,2132,0.5,1,67,6
622,1762339397,118,2dea3aba-4ba9-4571-9519-13628c704362,1762339515,1762339734,219,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0008653144297650012 --batch_size 1024 --hidden_size 2924 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c126,1219242,622_0,COMPLETED,BOTORCH_MODULAR,52.990000000000001989519660128281,215.498999999999995225152815692127,20,0.000865314429765001204286622993,1024,2924,0.5,1,80,7
623,1762339396,30,2dea3aba-4ba9-4571-9519-13628c704362,1762339426,1762340808,1382,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00070874476560507692 --batch_size 203 --hidden_size 2746 --dropout 0.5 --num_dense_layers 1 --filter 69 --num_conv_layers 6,0,,c85,1219233,623_0,COMPLETED,BOTORCH_MODULAR,64.21999999999999886313162278384,1373.207000000000107320374809205532,117,0.000708744765605076923985217174,203,2746,0.5,1,69,6
624,1762339396,29,2dea3aba-4ba9-4571-9519-13628c704362,1762339425,1762339663,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00083959682624392155 --batch_size 1024 --hidden_size 1270 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c110,1219230,624_0,COMPLETED,BOTORCH_MODULAR,47.53999999999999914734871708788,231.362999999999999545252649113536,20,0.000839596826243921550564364154,1024,1270,0.5,2,80,7
625,1762339397,28,2dea3aba-4ba9-4571-9519-13628c704362,1762339425,1762341019,1594,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 119 --learning_rate 0.00072967819492663689 --batch_size 95 --hidden_size 2622 --dropout 0.5 --num_dense_layers 1 --filter 70 --num_conv_layers 6,0,,c95,1219231,625_0,COMPLETED,BOTORCH_MODULAR,65.42000000000000170530256582424,1589.231999999999970896169543266296,119,0.000729678194926636886595561204,95,2622,0.5,1,70,6
626,1762339396,29,2dea3aba-4ba9-4571-9519-13628c704362,1762339425,1762340900,1475,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.0007101277722529459 --batch_size 70 --hidden_size 3036 --dropout 0.5 --num_dense_layers 1 --filter 68 --num_conv_layers 6,0,,c132,1219229,626_0,COMPLETED,BOTORCH_MODULAR,66.060000000000002273736754432321,1467.469000000000050931703299283981,105,0.000710127772252945902928256139,70,3036,0.5,1,68,6
627,1762339397,118,2dea3aba-4ba9-4571-9519-13628c704362,1762339515,1762339741,226,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00080468151960244616 --batch_size 992 --hidden_size 3321 --dropout 0 --num_dense_layers 1 --filter 71 --num_conv_layers 4,0,,c129,1219240,627_0,COMPLETED,BOTORCH_MODULAR,51.810000000000002273736754432321,219.854999999999989768184605054557,20,0.000804681519602446155073338652,992,3321,0,1,71,4
628,1762339397,118,2dea3aba-4ba9-4571-9519-13628c704362,1762339515,1762341149,1634,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00078247573700234753 --batch_size 62 --hidden_size 2434 --dropout 0.5 --num_dense_layers 1 --filter 71 --num_conv_layers 6,0,,c127,1219241,628_0,COMPLETED,BOTORCH_MODULAR,66.28000000000000113686837721616,1628.917999999999892679625190794468,109,0.000782475737002347529469581389,62,2434,0.5,1,71,6
629,1762339397,40,2dea3aba-4ba9-4571-9519-13628c704362,1762339437,1762340423,986,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 92 --learning_rate 0.00100000000000000002 --batch_size 926 --hidden_size 3327 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c88,1219232,629_0,COMPLETED,BOTORCH_MODULAR,62.630000000000002557953848736361,973.076999999999998181010596454144,92,0.001000000000000000020816681712,926,3327,0.5,1,80,6
630,1762339397,27,2dea3aba-4ba9-4571-9519-13628c704362,1762339424,1762341574,2150,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 140 --learning_rate 0.00081511215009110371 --batch_size 52 --hidden_size 2460 --dropout 0.5 --num_dense_layers 1 --filter 68 --num_conv_layers 6,0,,c76,1219234,630_0,COMPLETED,BOTORCH_MODULAR,66.5,2143.666000000000167347025126218796,140,0.000815112150091103714565077265,52,2460,0.5,1,68,6
631,1762339397,118,2dea3aba-4ba9-4571-9519-13628c704362,1762339515,1762339739,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00068731085542688049 --batch_size 998 --hidden_size 3823 --dropout 0 --num_dense_layers 2 --filter 39 --num_conv_layers 4,0,,c107,1219243,631_0,COMPLETED,BOTORCH_MODULAR,46.17000000000000170530256582424,218.798000000000001818989403545856,20,0.00068731085542688048501541731,998,3823,0,2,39,4
632,1762339398,31,2dea3aba-4ba9-4571-9519-13628c704362,1762339429,1762340408,979,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 91 --learning_rate 0.00082170373005042963 --batch_size 925 --hidden_size 2499 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c68,1219236,632_0,COMPLETED,BOTORCH_MODULAR,61.3999999999999985789145284798,968.241999999999961801222525537014,91,0.000821703730050429631201480696,925,2499,0.5,1,80,6
633,1762339398,87,2dea3aba-4ba9-4571-9519-13628c704362,1762339485,1762340446,961,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 91 --learning_rate 0.00075339152464051165 --batch_size 931 --hidden_size 1404 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c37,1219237,633_0,COMPLETED,BOTORCH_MODULAR,60.189999999999997726263245567679,957.22400000000004638422979041934,91,0.00075339152464051165492692208,931,1404,0.5,1,80,7
634,1762339398,88,2dea3aba-4ba9-4571-9519-13628c704362,1762339486,1762341053,1567,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 114 --learning_rate 0.00079154741222388586 --batch_size 88 --hidden_size 2364 --dropout 0.5 --num_dense_layers 1 --filter 71 --num_conv_layers 6,0,,c28,1219238,634_0,COMPLETED,BOTORCH_MODULAR,65.939999999999997726263245567679,1560.46700000000009822542779147625,114,0.000791547412223885860950434168,88,2364,0.5,1,71,6
635,1762339398,117,2dea3aba-4ba9-4571-9519-13628c704362,1762339515,1762340861,1346,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00080397091036522059 --batch_size 160 --hidden_size 2314 --dropout 0.5 --num_dense_layers 1 --filter 71 --num_conv_layers 6,0,,c130,1219239,635_0,COMPLETED,BOTORCH_MODULAR,65.230000000000003979039320256561,1341.186999999999898136593401432037,111,0.000803970910365220587691370557,160,2314,0.5,1,71,6
636,1762339406,109,2dea3aba-4ba9-4571-9519-13628c704362,1762339515,1762341036,1521,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00079450883496350543 --batch_size 146 --hidden_size 2381 --dropout 0.5 --num_dense_layers 1 --filter 69 --num_conv_layers 6,0,,c48,1219245,636_0,COMPLETED,BOTORCH_MODULAR,65.03000000000000113686837721616,1512.701999999999998181010596454144,116,0.000794508834963505430545871455,146,2381,0.5,1,69,6
637,1762339406,113,2dea3aba-4ba9-4571-9519-13628c704362,1762339519,1762339757,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00085775398324449304 --batch_size 1024 --hidden_size 2983 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c44,1219246,637_0,COMPLETED,BOTORCH_MODULAR,53.240000000000001989519660128281,225.183999999999997498889570124447,20,0.000857753983244493038891331782,1024,2983,0.5,1,80,7
638,1762339407,113,2dea3aba-4ba9-4571-9519-13628c704362,1762339520,1762341011,1491,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00072705436083007674 --batch_size 68 --hidden_size 3151 --dropout 0.5 --num_dense_layers 1 --filter 68 --num_conv_layers 6,0,,c38,1219248,638_0,COMPLETED,BOTORCH_MODULAR,66.430000000000006821210263296962,1482.718000000000074578565545380116,102,0.00072705436083007673672695681,68,3151,0.5,1,68,6
639,1762339406,113,2dea3aba-4ba9-4571-9519-13628c704362,1762339519,1762339757,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00081629487555836091 --batch_size 1024 --hidden_size 1393 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c44,1219247,639_0,COMPLETED,BOTORCH_MODULAR,48.71000000000000085265128291212,229.485000000000013642420526593924,20,0.000816294875558360908361643649,1024,1393,0.5,2,80,7
640,1762346313,18,2dea3aba-4ba9-4571-9519-13628c704362,1762346331,1762346744,413,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00083027490533264575 --batch_size 565 --hidden_size 742 --dropout 0 --num_dense_layers 2 --filter 62 --num_conv_layers 4,0,,c87,1220455,640_0,COMPLETED,BOTORCH_MODULAR,56.89000000000000056843418860808,405.362999999999999545252649113536,37,0.000830274905332645750920261829,565,742,0,2,62,4
641,1762346314,228,2dea3aba-4ba9-4571-9519-13628c704362,1762346542,1762347827,1285,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00099753561162415662 --batch_size 140 --hidden_size 3113 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c16,1220460,641_0,COMPLETED,BOTORCH_MODULAR,66.349999999999994315658113919199,1276.398999999999887222656980156898,104,0.000997535611624156617893710575,140,3113,0.5,1,80,6
642,1762346313,18,2dea3aba-4ba9-4571-9519-13628c704362,1762346331,1762346751,420,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00070161503651301976 --batch_size 563 --hidden_size 2030 --dropout 0.29128516334842535773 --num_dense_layers 2 --filter 73 --num_conv_layers 4,0,,c128,1220453,642_0,COMPLETED,BOTORCH_MODULAR,56.78999999999999914734871708788,416.833000000000026830093702301383,38,0.000701615036513019763898812986,563,2030,0.291285163348425357732196516736,2,73,4
643,1762346313,20,2dea3aba-4ba9-4571-9519-13628c704362,1762346333,1762346726,393,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 36 --learning_rate 0.00052998874875895838 --batch_size 566 --hidden_size 3494 --dropout 0.2194337705419860951 --num_dense_layers 2 --filter 59 --num_conv_layers 4,0,,c128,1220452,643_0,COMPLETED,BOTORCH_MODULAR,57.590000000000003410605131648481,388.595000000000027284841053187847,36,0.000529988748758958381351868994,566,3494,0.219433770541986095103936804662,2,59,4
644,1762346314,18,2dea3aba-4ba9-4571-9519-13628c704362,1762346332,1762346745,413,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00071127282842316317 --batch_size 570 --hidden_size 2284 --dropout 0 --num_dense_layers 2 --filter 76 --num_conv_layers 4,0,,c91,1220454,644_0,COMPLETED,BOTORCH_MODULAR,57.07000000000000028421709430404,406.048000000000001818989403545856,37,0.000711272828423163173960919181,570,2284,0,2,76,4
645,1762346314,258,2dea3aba-4ba9-4571-9519-13628c704362,1762346572,1762346972,400,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 36 --learning_rate 0.00061273231601527563 --batch_size 569 --hidden_size 3317 --dropout 0 --num_dense_layers 2 --filter 59 --num_conv_layers 4,0,,c84,1220462,645_0,COMPLETED,BOTORCH_MODULAR,54.82999999999999829469743417576,391.892999999999972260411595925689,36,0.000612732316015275634869807764,569,3317,0,2,59,4
646,1762346314,17,2dea3aba-4ba9-4571-9519-13628c704362,1762346331,1762347572,1241,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00091464499080660413 --batch_size 264 --hidden_size 3631 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c50,1220456,646_0,COMPLETED,BOTORCH_MODULAR,65.650000000000005684341886080801,1232.270999999999958163243718445301,106,0.000914644990806604126984402647,264,3631,0.5,1,80,6
647,1762346315,16,2dea3aba-4ba9-4571-9519-13628c704362,1762346331,1762347822,1491,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 101 --learning_rate 0.00091977305545691286 --batch_size 65 --hidden_size 3497 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c40,1220457,647_0,COMPLETED,BOTORCH_MODULAR,67.560000000000002273736754432321,1483.351000000000112777343019843102,101,0.000919773055456912856479856355,65,3497,0.5,1,80,6
648,1762346315,227,2dea3aba-4ba9-4571-9519-13628c704362,1762346542,1762346911,369,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 35 --learning_rate 0.00077027084168909644 --batch_size 572 --hidden_size 1172 --dropout 0 --num_dense_layers 2 --filter 38 --num_conv_layers 4,0,,c43,1220459,648_0,COMPLETED,BOTORCH_MODULAR,53.32999999999999829469743417576,360.201000000000021827872842550278,35,0.000770270841689096440879636063,572,1172,0,2,38,4
649,1762346314,258,2dea3aba-4ba9-4571-9519-13628c704362,1762346572,1762348081,1509,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00069552256605973951 --batch_size 54 --hidden_size 1498 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c138,1220461,649_0,COMPLETED,BOTORCH_MODULAR,66.599999999999994315658113919199,1504.570999999999912688508629798889,99,0.000695522566059739513755211249,54,1498,0.5,1,80,6
650,1762346315,16,2dea3aba-4ba9-4571-9519-13628c704362,1762346331,1762346738,407,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00065782115153368063 --batch_size 566 --hidden_size 2320 --dropout 0.1238866223601337857 --num_dense_layers 2 --filter 52 --num_conv_layers 4,0,,c37,1220458,650_0,COMPLETED,BOTORCH_MODULAR,55.990000000000001989519660128281,399.163000000000010913936421275139,37,0.000657821151533680625531075314,566,2320,0.123886622360133785702984710042,2,52,4
651,1762346314,258,2dea3aba-4ba9-4571-9519-13628c704362,1762346572,1762346979,407,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00086671832647506285 --batch_size 566 --hidden_size 1069 --dropout 0 --num_dense_layers 2 --filter 37 --num_conv_layers 4,0,,c71,1220463,651_0,COMPLETED,BOTORCH_MODULAR,53.310000000000002273736754432321,402.093000000000017735146684572101,38,0.000866718326475062850015873561,566,1069,0,2,37,4
652,1762346316,287,2dea3aba-4ba9-4571-9519-13628c704362,1762346603,1762348026,1423,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00092685967560200775 --batch_size 68 --hidden_size 3285 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c47,1220467,652_0,COMPLETED,BOTORCH_MODULAR,67.67000000000000170530256582424,1416.567000000000007275957614183426,97,0.000926859675602007752719113665,68,3285,0.5,1,80,6
653,1762346315,257,2dea3aba-4ba9-4571-9519-13628c704362,1762346572,1762346962,390,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 35 --learning_rate 0.00066336370174370843 --batch_size 565 --hidden_size 2921 --dropout 0.41623987671461259996 --num_dense_layers 2 --filter 55 --num_conv_layers 4,0,,c68,1220464,653_0,COMPLETED,BOTORCH_MODULAR,55.009999999999998010480339871719,383.903000000000020008883439004421,35,0.000663363701743708428226753426,565,2921,0.416239876714612599961640171387,2,55,4
654,1762346315,335,2dea3aba-4ba9-4571-9519-13628c704362,1762346650,1762347082,432,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00078626721801465657 --batch_size 574 --hidden_size 2738 --dropout 0.5 --num_dense_layers 2 --filter 75 --num_conv_layers 4,0,,c147,1220466,654_0,COMPLETED,BOTORCH_MODULAR,53.020000000000003126388037344441,419.613999999999975898390403017402,37,0.000786267218014656565396036658,574,2738,0.5,2,75,4
655,1762346316,267,2dea3aba-4ba9-4571-9519-13628c704362,1762346583,1762346983,400,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00090239519416884979 --batch_size 573 --hidden_size 998 --dropout 0 --num_dense_layers 2 --filter 42 --num_conv_layers 4,0,,c65,1220465,655_0,COMPLETED,BOTORCH_MODULAR,54.049999999999997157829056959599,389.932999999999992724042385816574,37,0.000902395194168849790368469588,573,998,0,2,42,4
656,1762346324,324,2dea3aba-4ba9-4571-9519-13628c704362,1762346648,1762348055,1407,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00089408243866591938 --batch_size 73 --hidden_size 3501 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c110,1220468,656_0,COMPLETED,BOTORCH_MODULAR,67.10999999999999943156581139192,1397.923000000000001818989403545856,98,0.000894082438665919380579860665,73,3501,0.5,1,80,6
657,1762346325,368,2dea3aba-4ba9-4571-9519-13628c704362,1762346693,1762347105,412,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.0006373844234134863 --batch_size 577 --hidden_size 1919 --dropout 0 --num_dense_layers 2 --filter 49 --num_conv_layers 4,0,,c40,1220471,657_0,COMPLETED,BOTORCH_MODULAR,54.21999999999999886313162278384,403.627000000000009549694368615746,38,0.000637384423413486301060459915,577,1919,0,2,49,4
658,1762346324,327,2dea3aba-4ba9-4571-9519-13628c704362,1762346651,1762347031,380,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 35 --learning_rate 0.00076548126932800189 --batch_size 567 --hidden_size 1309 --dropout 0.10438158738689105876 --num_dense_layers 2 --filter 37 --num_conv_layers 4,0,,c82,1220469,658_0,COMPLETED,BOTORCH_MODULAR,55.310000000000002273736754432321,372.721000000000003637978807091713,35,0.000765481269328001888430090816,567,1309,0.104381587386891058755189476415,2,37,4
659,1762346324,323,2dea3aba-4ba9-4571-9519-13628c704362,1762346647,1762348049,1402,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00094520871622804162 --batch_size 72 --hidden_size 3175 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c51,1220470,659_0,COMPLETED,BOTORCH_MODULAR,67.939999999999997726263245567679,1389.863000000000056388671509921551,97,0.00094520871622804161771291831,72,3175,0.5,1,80,6
660,1762352543,340,2dea3aba-4ba9-4571-9519-13628c704362,1762352883,1762353620,737,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 67 --learning_rate 0.00058368643788440369 --batch_size 880 --hidden_size 1397 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c131,1221059,660_0,COMPLETED,BOTORCH_MODULAR,58.07000000000000028421709430404,729.159999999999968167685437947512,67,0.0005836864378844036855067956,880,1397,0,1,80,7
661,1762352545,398,2dea3aba-4ba9-4571-9519-13628c704362,1762352943,1762354324,1381,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 128 --learning_rate 0.00092926349124511972 --batch_size 791 --hidden_size 3298 --dropout 0.42156114758179186186 --num_dense_layers 1 --filter 73 --num_conv_layers 7,0,,c17,1221069,661_0,COMPLETED,BOTORCH_MODULAR,60.979999999999996873611962655559,1371.44800000000009276845958083868,128,0.000929263491245119720163270216,791,3298,0.421561147581791861860267545126,1,73,7
662,1762352543,8,2dea3aba-4ba9-4571-9519-13628c704362,1762352551,1762353275,724,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 67 --learning_rate 0.00057284050160387641 --batch_size 921 --hidden_size 1382 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c113,1221055,662_0,COMPLETED,BOTORCH_MODULAR,57.259999999999998010480339871719,716.154999999999972715158946812153,67,0.000572840501603876406551407729,921,1382,0,1,80,7
663,1762352544,369,2dea3aba-4ba9-4571-9519-13628c704362,1762352913,1762353657,744,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00054667934601116037 --batch_size 796 --hidden_size 1534 --dropout 0.02643744033513307015 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c93,1221064,663_0,COMPLETED,BOTORCH_MODULAR,58.1000000000000014210854715202,739.00699999999994815880199894309,69,0.000546679346011160372138804053,796,1534,0.026437440335133070151707457285,1,80,7
664,1762352543,401,2dea3aba-4ba9-4571-9519-13628c704362,1762352944,1762354352,1408,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 131 --learning_rate 0.00093792340746524938 --batch_size 804 --hidden_size 3239 --dropout 0.42453769431236476617 --num_dense_layers 1 --filter 71 --num_conv_layers 7,0,,c85,1221067,664_0,COMPLETED,BOTORCH_MODULAR,61.42999999999999971578290569596,1401.369999999999890860635787248611,131,0.000937923407465249378729688079,804,3239,0.424537694312364766169309859833,1,71,7
665,1762352543,310,2dea3aba-4ba9-4571-9519-13628c704362,1762352853,1762353597,744,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00059832891482462596 --batch_size 499 --hidden_size 1337 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c134,1221056,665_0,COMPLETED,BOTORCH_MODULAR,59.049999999999997157829056959599,735.332999999999969986674841493368,66,0.000598328914824625959431592115,499,1337,0,1,80,7
666,1762352543,310,2dea3aba-4ba9-4571-9519-13628c704362,1762352853,1762353878,1025,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 94 --learning_rate 0.00051042499478004544 --batch_size 691 --hidden_size 1439 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c41,1221058,666_0,COMPLETED,BOTORCH_MODULAR,57.560000000000002273736754432321,1016.682000000000016370904631912708,94,0.000510424994780045437892113114,691,1439,0,1,80,7
667,1762352543,310,2dea3aba-4ba9-4571-9519-13628c704362,1762352853,1762353550,697,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00061324810418368343 --batch_size 968 --hidden_size 1279 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c132,1221057,667_0,COMPLETED,BOTORCH_MODULAR,57.189999999999997726263245567679,690.128000000000042746250983327627,65,0.000613248104183683430054574437,968,1279,0,1,80,7
668,1762352543,340,2dea3aba-4ba9-4571-9519-13628c704362,1762352883,1762353690,807,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00061725081408590379 --batch_size 130 --hidden_size 1299 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c61,1221062,668_0,COMPLETED,BOTORCH_MODULAR,62.57999999999999829469743417576,797.100000000000022737367544323206,64,0.000617250814085903791970932897,130,1299,0,1,80,4
669,1762352549,454,2dea3aba-4ba9-4571-9519-13628c704362,1762353003,1762353768,765,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 67 --learning_rate 0.00062031739727784778 --batch_size 425 --hidden_size 1232 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c143,1221070,669_0,COMPLETED,BOTORCH_MODULAR,60.6000000000000014210854715202,757.360000000000013642420526593924,67,0.000620317397277847775577397371,425,1232,0,1,80,4
670,1762352543,370,2dea3aba-4ba9-4571-9519-13628c704362,1762352913,1762353696,783,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00056893114728603521 --batch_size 800 --hidden_size 1414 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c49,1221066,670_0,COMPLETED,BOTORCH_MODULAR,57.92000000000000170530256582424,773.230000000000018189894035458565,69,0.00056893114728603520671018634,800,1414,0,1,80,7
671,1762352543,370,2dea3aba-4ba9-4571-9519-13628c704362,1762352913,1762353644,731,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 67 --learning_rate 0.00057237432874871342 --batch_size 708 --hidden_size 1429 --dropout 0.00520997272267939744 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c140,1221063,671_0,COMPLETED,BOTORCH_MODULAR,58.1499999999999985789145284798,727.014000000000010004441719502211,67,0.00057237432874871342451672529,708,1429,0.005209972722679397441614135289,1,80,7
672,1762352544,399,2dea3aba-4ba9-4571-9519-13628c704362,1762352943,1762353663,720,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 67 --learning_rate 0.00057630002667449624 --batch_size 709 --hidden_size 1439 --dropout 0.01864321233677861123 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c49,1221068,672_0,COMPLETED,BOTORCH_MODULAR,58.049999999999997157829056959599,711.844000000000050931703299283981,67,0.000576300026674496238335287934,709,1439,0.018643212336778611226684176927,1,80,7
673,1762352543,352,2dea3aba-4ba9-4571-9519-13628c704362,1762352895,1762353649,754,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00056544907491775601 --batch_size 801 --hidden_size 1428 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c86,1221060,673_0,COMPLETED,BOTORCH_MODULAR,57.71000000000000085265128291212,740.336000000000012732925824820995,69,0.000565449074917756012992331449,801,1428,0,1,80,7
674,1762352543,346,2dea3aba-4ba9-4571-9519-13628c704362,1762352889,1762353629,740,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.0005799371140520536 --batch_size 425 --hidden_size 1418 --dropout 0.00658467861424361436 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c74,1221061,674_0,COMPLETED,BOTORCH_MODULAR,60.590000000000003410605131648481,731.982999999999947249307297170162,66,0.000579937114052053595894542504,425,1418,0.006584678614243614364065493305,1,80,4
675,1762352544,369,2dea3aba-4ba9-4571-9519-13628c704362,1762352913,1762354345,1432,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 133 --learning_rate 0.00100000000000000002 --batch_size 804 --hidden_size 2966 --dropout 0.39875440289298791363 --num_dense_layers 1 --filter 65 --num_conv_layers 7,0,,c80,1221065,675_0,COMPLETED,BOTORCH_MODULAR,59.759999999999998010480339871719,1424.898999999999887222656980156898,133,0.001000000000000000020816681712,804,2966,0.398754402892987913631372975942,1,65,7
676,1762352552,512,2dea3aba-4ba9-4571-9519-13628c704362,1762353064,1762353790,726,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00060096088149849886 --batch_size 536 --hidden_size 1353 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c68,1221073,676_0,COMPLETED,BOTORCH_MODULAR,58.1499999999999985789145284798,720.586999999999989086063578724861,66,0.000600960881498498861695567452,536,1353,0,1,80,7
677,1762352552,512,2dea3aba-4ba9-4571-9519-13628c704362,1762353064,1762353743,679,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00056941940884748369 --batch_size 870 --hidden_size 1471 --dropout 0.0225792579935080312 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c134,1221071,677_0,COMPLETED,BOTORCH_MODULAR,58.049999999999997157829056959599,673.048000000000001818989403545856,63,0.000569419408847483691019086827,870,1471,0.022579257993508031199247909626,1,80,7
678,1762352552,512,2dea3aba-4ba9-4571-9519-13628c704362,1762353064,1762353787,723,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00057353481441597867 --batch_size 425 --hidden_size 1412 --dropout 0.0000190123141092798 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c129,1221072,678_0,COMPLETED,BOTORCH_MODULAR,60.6000000000000014210854715202,717.482999999999947249307297170162,66,0.000573534814415978667738460484,425,1412,0.000019012314109279802404285295,1,80,4
679,1762352553,511,2dea3aba-4ba9-4571-9519-13628c704362,1762353064,1762353845,781,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00059602152590401496 --batch_size 343 --hidden_size 1298 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 4,0,,c44,1221074,679_0,COMPLETED,BOTORCH_MODULAR,60.82000000000000028421709430404,773.647000000000048203219193965197,70,0.000596021525904014961780297277,343,1298,0,1,80,4
680,1762360007,6,2dea3aba-4ba9-4571-9519-13628c704362,1762360013,1762361585,1572,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00062575948069106056 --batch_size 1024 --hidden_size 1074 --dropout 0.27362402681629555135 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c155,1222166,680_0,COMPLETED,BOTORCH_MODULAR,58.729999999999996873611962655559,1563.195999999999912688508629798889,150,0.000625759480691060561083349789,1024,1074,0.27362402681629555134534825811,1,80,7
681,1762360007,6,2dea3aba-4ba9-4571-9519-13628c704362,1762360013,1762361583,1570,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00070829888232186488 --batch_size 1024 --hidden_size 947 --dropout 0.31485183965257251826 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c139,1222174,681_0,COMPLETED,BOTORCH_MODULAR,59.53999999999999914734871708788,1565.663000000000010913936421275139,150,0.000708298882321864876204786654,1024,947,0.314851839652572518257755973536,1,80,7
682,1762360008,5,2dea3aba-4ba9-4571-9519-13628c704362,1762360013,1762360299,286,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 26 --learning_rate 0.00099583676204014577 --batch_size 1019 --hidden_size 2020 --dropout 0 --num_dense_layers 1 --filter 47 --num_conv_layers 5,0,,c143,1222170,682_0,COMPLETED,BOTORCH_MODULAR,53.450000000000002842170943040401,281.620999999999980900611262768507,26,0.000995836762040145772462151896,1019,2020,0,1,47,5
683,1762360007,8,2dea3aba-4ba9-4571-9519-13628c704362,1762360015,1762361586,1571,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.0008934520653040086 --batch_size 1024 --hidden_size 3215 --dropout 0.41783911772926679573 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c143,1222169,683_0,COMPLETED,BOTORCH_MODULAR,61.28000000000000113686837721616,1563.748000000000047293724492192268,150,0.000893452065304008603147112311,1024,3215,0.417839117729266795731035699646,1,80,7
684,1762360007,13,2dea3aba-4ba9-4571-9519-13628c704362,1762360020,1762360560,540,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 44 --learning_rate 0.0008147372305392517 --batch_size 172 --hidden_size 3123 --dropout 0.39907831854934922022 --num_dense_layers 1 --filter 75 --num_conv_layers 6,0,,c143,1222168,684_0,COMPLETED,BOTORCH_MODULAR,65.53000000000000113686837721616,536.591000000000008185452315956354,44,0.000814737230539251699491798409,172,3123,0.399078318549349220223376732974,1,75,6
685,1762360007,7,2dea3aba-4ba9-4571-9519-13628c704362,1762360014,1762361610,1596,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00091584709351237635 --batch_size 1024 --hidden_size 2808 --dropout 0.47028239329231097399 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c149,1222167,685_0,COMPLETED,BOTORCH_MODULAR,61.659999999999996589394868351519,1587.196999999999889041646383702755,150,0.000915847093512376351533144092,1024,2808,0.47028239329231097398675842669,1,80,7
686,1762360007,6,2dea3aba-4ba9-4571-9519-13628c704362,1762360013,1762361611,1598,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00093602948355213606 --batch_size 1024 --hidden_size 3794 --dropout 0.5 --num_dense_layers 1 --filter 75 --num_conv_layers 7,0,,c140,1222171,686_0,COMPLETED,BOTORCH_MODULAR,61.130000000000002557953848736361,1593.752999999999929059413261711597,150,0.000936029483552136055447834284,1024,3794,0.5,1,75,7
687,1762360008,5,2dea3aba-4ba9-4571-9519-13628c704362,1762360013,1762361583,1570,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00064578724717833009 --batch_size 1024 --hidden_size 1083 --dropout 0.29929393008841748136 --num_dense_layers 1 --filter 67 --num_conv_layers 7,0,,c138,1222175,687_0,COMPLETED,BOTORCH_MODULAR,57.520000000000003126388037344441,1562.94800000000009276845958083868,150,0.000645787247178330092896303416,1024,1083,0.299293930088417481361062755241,1,67,7
688,1762360007,36,2dea3aba-4ba9-4571-9519-13628c704362,1762360043,1762360274,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00087011078742446223 --batch_size 1009 --hidden_size 3027 --dropout 0.26216412350200080095 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c137,1222176,688_0,COMPLETED,BOTORCH_MODULAR,55.53000000000000113686837721616,227.432999999999992724042385816574,20,0.000870110787424462225024546225,1009,3027,0.262164123502000800947087100212,1,80,6
689,1762360008,35,2dea3aba-4ba9-4571-9519-13628c704362,1762360043,1762361635,1592,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00073553163431745803 --batch_size 1024 --hidden_size 852 --dropout 0.3798879810723357342 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c137,1222178,689_0,COMPLETED,BOTORCH_MODULAR,59.78999999999999914734871708788,1585.487000000000080035533756017685,150,0.000735531634317458031351033565,1024,852,0.37988798107233573420060679382,1,80,7
690,1762360007,36,2dea3aba-4ba9-4571-9519-13628c704362,1762360043,1762360701,658,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00085115664005874867 --batch_size 228 --hidden_size 3207 --dropout 0.4145271441156249681 --num_dense_layers 1 --filter 78 --num_conv_layers 6,0,,c134,1222181,690_0,COMPLETED,BOTORCH_MODULAR,64.849999999999994315658113919199,650.176000000000044565240386873484,54,0.000851156640058748671651134288,228,3207,0.414527144115624968101485592342,1,78,6
691,1762360008,5,2dea3aba-4ba9-4571-9519-13628c704362,1762360013,1762360614,601,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.0008494979605619845 --batch_size 352 --hidden_size 3156 --dropout 0.41377176534852033729 --num_dense_layers 1 --filter 77 --num_conv_layers 6,0,,c139,1222173,691_0,COMPLETED,BOTORCH_MODULAR,63.82000000000000028421709430404,596.179999999999949977791402488947,53,0.000849497960561984501344501286,352,3156,0.413771765348520337290949555609,1,77,6
692,1762360008,35,2dea3aba-4ba9-4571-9519-13628c704362,1762360043,1762360750,707,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 59 --learning_rate 0.00081654675804375301 --batch_size 203 --hidden_size 3301 --dropout 0.40423385844405845813 --num_dense_layers 1 --filter 72 --num_conv_layers 6,0,,c136,1222179,692_0,COMPLETED,BOTORCH_MODULAR,64.78000000000000113686837721616,698.964000000000055479176808148623,59,0.000816546758043753010888887722,203,3301,0.404233858444058458125880406442,1,72,6
693,1762360009,39,2dea3aba-4ba9-4571-9519-13628c704362,1762360048,1762360996,948,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00099775547249647089 --batch_size 8 --hidden_size 4092 --dropout 0.4496947785612413484 --num_dense_layers 1 --filter 66 --num_conv_layers 7,0,,c134,1222180,693_0,COMPLETED,BOTORCH_MODULAR,51.479999999999996873611962655559,940.904999999999972715158946812153,20,0.000997755472496470894802622631,8,4092,0.449694778561241348402433004594,1,66,7
694,1762360007,6,2dea3aba-4ba9-4571-9519-13628c704362,1762360013,1762360672,659,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00083250322843735351 --batch_size 215 --hidden_size 3155 --dropout 0.39646780648784479828 --num_dense_layers 1 --filter 77 --num_conv_layers 6,0,,c139,1222172,694_0,COMPLETED,BOTORCH_MODULAR,64.71999999999999886313162278384,654.240000000000009094947017729282,55,0.000832503228437353514149177336,215,3155,0.396467806487844798279951419318,1,77,6
695,1762360008,35,2dea3aba-4ba9-4571-9519-13628c704362,1762360043,1762361654,1611,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00075377774380372409 --batch_size 1024 --hidden_size 1968 --dropout 0.41989839269203405037 --num_dense_layers 1 --filter 74 --num_conv_layers 7,0,,c137,1222177,695_0,COMPLETED,BOTORCH_MODULAR,59.490000000000001989519660128281,1602.981999999999970896169543266296,150,0.000753777743803724087356954442,1024,1968,0.419898392692034050366345354632,1,74,7
696,1762360017,26,2dea3aba-4ba9-4571-9519-13628c704362,1762360043,1762360268,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00075044206121859815 --batch_size 1011 --hidden_size 1711 --dropout 0.40693269180848268274 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c133,1222183,696_0,COMPLETED,BOTORCH_MODULAR,51.21999999999999886313162278384,219.763000000000005229594535194337,20,0.000750442061218598152269598778,1011,1711,0.40693269180848268273820167451,1,80,6
697,1762360017,31,2dea3aba-4ba9-4571-9519-13628c704362,1762360048,1762361626,1578,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00076680674388435893 --batch_size 1024 --hidden_size 2338 --dropout 0.36895933622145826725 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c134,1222182,697_0,COMPLETED,BOTORCH_MODULAR,59.5,1573.461000000000012732925824820995,150,0.000766806743884358927090816316,1024,2338,0.368959336221458267246475770662,2,80,7
698,1762360017,26,2dea3aba-4ba9-4571-9519-13628c704362,1762360043,1762361626,1583,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00070637593559222476 --batch_size 1024 --hidden_size 1052 --dropout 0.39541832799305182133 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c132,1222184,698_0,COMPLETED,BOTORCH_MODULAR,59.71999999999999886313162278384,1575.670000000000072759576141834259,150,0.000706375935592224758752255553,1024,1052,0.395418327993051821334091755489,1,80,7
699,1762360017,26,2dea3aba-4ba9-4571-9519-13628c704362,1762360043,1762361564,1521,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.0006636030056320903 --batch_size 1024 --hidden_size 373 --dropout 0.14865059074755318513 --num_dense_layers 1 --filter 38 --num_conv_layers 7,0,,c131,1222185,699_0,COMPLETED,BOTORCH_MODULAR,48.340000000000003410605131648481,1514.673000000000001818989403545856,150,0.000663603005632090302973180584,1024,373,0.148650590747553185133611464153,1,38,7
700,1762368330,24,2dea3aba-4ba9-4571-9519-13628c704362,1762368354,1762369044,690,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00077210994773367961 --batch_size 129 --hidden_size 1574 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c134,1222436,700_0,COMPLETED,BOTORCH_MODULAR,65.040000000000006252776074688882,684.018000000000029103830456733704,55,0.000772109947733679610575030505,129,1574,0.5,1,80,6
701,1762368328,28,2dea3aba-4ba9-4571-9519-13628c704362,1762368356,1762369241,885,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00079542546595920687 --batch_size 131 --hidden_size 1449 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c141,1222425,701_0,COMPLETED,BOTORCH_MODULAR,65.159999999999996589394868351519,879.105000000000018189894035458565,64,0.000795425465959206869255571082,131,1449,0.5,1,80,6
702,1762368328,104,2dea3aba-4ba9-4571-9519-13628c704362,1762368432,1762369274,842,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00078360880784776479 --batch_size 124 --hidden_size 1868 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c139,1222428,702_0,COMPLETED,BOTORCH_MODULAR,65.900000000000005684341886080801,837.758000000000038198777474462986,65,0.000783608807847764794220213336,124,1868,0.5,1,80,6
703,1762368328,24,2dea3aba-4ba9-4571-9519-13628c704362,1762368352,1762369258,906,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 68 --learning_rate 0.00075306114412131803 --batch_size 88 --hidden_size 1599 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c154,1222424,703_0,COMPLETED,BOTORCH_MODULAR,65.790000000000006252776074688882,898.772000000000048203219193965197,68,0.000753061144121318034629075644,88,1599,0.5,1,80,6
704,1762368328,4,2dea3aba-4ba9-4571-9519-13628c704362,1762368332,1762369184,852,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.00086799346470200177 --batch_size 170 --hidden_size 2116 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c155,1222423,704_0,COMPLETED,BOTORCH_MODULAR,65.620000000000004547473508864641,847.144999999999981810105964541435,71,0.00086799346470200176850706697,170,2116,0.5,1,80,6
705,1762368330,29,2dea3aba-4ba9-4571-9519-13628c704362,1762368359,1762369225,866,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00078183397440051558 --batch_size 89 --hidden_size 1911 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c134,1222438,705_0,COMPLETED,BOTORCH_MODULAR,66.290000000000006252776074688882,860.078999999999950887286104261875,65,0.000781833974400515576558268194,89,1911,0.5,1,80,6
706,1762368328,23,2dea3aba-4ba9-4571-9519-13628c704362,1762368351,1762369222,871,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00100000000000000002 --batch_size 122 --hidden_size 3118 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c141,1222426,706_0,COMPLETED,BOTORCH_MODULAR,66.959999999999993747223925311118,861.015999999999962710717227309942,63,0.001000000000000000020816681712,122,3118,0.5,1,80,6
707,1762368330,24,2dea3aba-4ba9-4571-9519-13628c704362,1762368354,1762369143,789,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00077825641177056465 --batch_size 164 --hidden_size 1562 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c134,1222437,707_0,COMPLETED,BOTORCH_MODULAR,65.07999999999999829469743417576,783.173000000000001818989403545856,64,0.000778256411770564650656756278,164,1562,0.5,1,80,6
708,1762368329,104,2dea3aba-4ba9-4571-9519-13628c704362,1762368433,1762369186,753,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00077028503173502802 --batch_size 204 --hidden_size 1666 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c139,1222430,708_0,COMPLETED,BOTORCH_MODULAR,64.25,742.994000000000028194335754960775,63,0.000770285031735028018727573507,204,1666,0.5,1,80,6
709,1762368328,24,2dea3aba-4ba9-4571-9519-13628c704362,1762368352,1762369224,872,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00081649622581692093 --batch_size 131 --hidden_size 2123 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c140,1222427,709_0,COMPLETED,BOTORCH_MODULAR,66.230000000000003979039320256561,865.254000000000019099388737231493,69,0.000816496225816920931893372337,131,2123,0.5,1,80,6
710,1762368329,24,2dea3aba-4ba9-4571-9519-13628c704362,1762368353,1762369215,862,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 67 --learning_rate 0.00076211972619254383 --batch_size 111 --hidden_size 1744 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c137,1222434,710_0,COMPLETED,BOTORCH_MODULAR,65.35999999999999943156581139192,858.91499999999996362021192908287,67,0.000762119726192543828040271148,111,1744,0.5,1,80,6
711,1762368329,23,2dea3aba-4ba9-4571-9519-13628c704362,1762368352,1762368564,212,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 626 --hidden_size 475 --dropout 0.5 --num_dense_layers 2 --filter 40 --num_conv_layers 4,0,,c138,1222432,711_0,COMPLETED,BOTORCH_MODULAR,27.01000000000000156319401867222,208.768000000000000682121026329696,20,0.001000000000000000020816681712,626,475,0.5,2,40,4
712,1762368328,104,2dea3aba-4ba9-4571-9519-13628c704362,1762368432,1762369217,785,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00100000000000000002 --batch_size 169 --hidden_size 3284 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c139,1222429,712_0,COMPLETED,BOTORCH_MODULAR,66.650000000000005684341886080801,778.471999999999979991116560995579,63,0.001000000000000000020816681712,169,3284,0.5,1,80,6
713,1762368329,106,2dea3aba-4ba9-4571-9519-13628c704362,1762368435,1762369220,785,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00076776321547745031 --batch_size 169 --hidden_size 1663 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c139,1222431,713_0,COMPLETED,BOTORCH_MODULAR,65.099999999999994315658113919199,776.764000000000010004441719502211,65,0.000767763215477450309924545291,169,1663,0.5,1,80,6
714,1762368329,22,2dea3aba-4ba9-4571-9519-13628c704362,1762368351,1762369191,840,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 67 --learning_rate 0.00081316245690864306 --batch_size 129 --hidden_size 2077 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c137,1222433,714_0,COMPLETED,BOTORCH_MODULAR,66.090000000000003410605131648481,836.909999999999968167685437947512,67,0.000813162456908643059734498326,129,2077,0.5,1,80,6
715,1762368330,24,2dea3aba-4ba9-4571-9519-13628c704362,1762368354,1762369301,947,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00069834447273759857 --batch_size 217 --hidden_size 4078 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c135,1222435,715_0,COMPLETED,BOTORCH_MODULAR,61.020000000000003126388037344441,939.813999999999964529706630855799,77,0.000698344472737598572463502133,217,4078,0,1,80,7
716,1762368339,15,2dea3aba-4ba9-4571-9519-13628c704362,1762368354,1762369199,845,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 58 --learning_rate 0.00075634388332092631 --batch_size 67 --hidden_size 1835 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c132,1222441,716_0,COMPLETED,BOTORCH_MODULAR,66.340000000000003410605131648481,838.916000000000053660187404602766,58,0.000756343883320926310513676594,67,1835,0.5,1,80,6
717,1762368339,15,2dea3aba-4ba9-4571-9519-13628c704362,1762368354,1762369093,739,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00078130417522527767 --batch_size 255 --hidden_size 1676 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c132,1222440,717_0,COMPLETED,BOTORCH_MODULAR,63.880000000000002557953848736361,730.041000000000053660187404602766,64,0.000781304175225277673308421633,255,1676,0.5,1,80,6
718,1762368339,15,2dea3aba-4ba9-4571-9519-13628c704362,1762368354,1762368566,212,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 660 --hidden_size 1207 --dropout 0.5 --num_dense_layers 2 --filter 24 --num_conv_layers 4,0,,c133,1222439,718_0,COMPLETED,BOTORCH_MODULAR,37.439999999999997726263245567679,204.417000000000001591615728102624,20,0.001000000000000000020816681712,660,1207,0.5,2,24,4
719,1762368339,80,2dea3aba-4ba9-4571-9519-13628c704362,1762368419,1762369244,825,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00084236303055839907 --batch_size 194 --hidden_size 1942 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c131,1222442,719_0,COMPLETED,BOTORCH_MODULAR,65.069999999999993178789736703038,813.989000000000032741809263825417,69,0.000842363030558399071383302026,194,1942,0.5,1,80,6
720,1762376588,2607,2dea3aba-4ba9-4571-9519-13628c704362,1762379195,1762379420,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 908 --hidden_size 1160 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c149,1222928,720_0,COMPLETED,BOTORCH_MODULAR,50.439999999999997726263245567679,218.443000000000012050804798491299,20,0.001000000000000000020816681712,908,1160,0,2,80,6
721,1762376588,2546,2dea3aba-4ba9-4571-9519-13628c704362,1762379134,1762379372,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 680 --hidden_size 955 --dropout 0 --num_dense_layers 2 --filter 66 --num_conv_layers 6,0,,c34,1222925,721_0,COMPLETED,BOTORCH_MODULAR,53.28000000000000113686837721616,232.490000000000009094947017729282,20,0.001000000000000000020816681712,680,955,0,2,66,6
722,1762376587,2367,2dea3aba-4ba9-4571-9519-13628c704362,1762378954,1762379173,219,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 910 --hidden_size 1286 --dropout 0 --num_dense_layers 2 --filter 42 --num_conv_layers 6,0,,c149,1222920,722_0,COMPLETED,BOTORCH_MODULAR,48.8999999999999985789145284798,212.012000000000000454747350886464,20,0.001000000000000000020816681712,910,1286,0,2,42,6
723,1762376588,2589,2dea3aba-4ba9-4571-9519-13628c704362,1762379177,1762379420,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 901 --hidden_size 3201 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c56,1222927,723_0,COMPLETED,BOTORCH_MODULAR,51.939999999999997726263245567679,228.823000000000007503331289626658,20,0.001000000000000000020816681712,901,3201,0.5,2,80,6
724,1762376587,2427,2dea3aba-4ba9-4571-9519-13628c704362,1762379014,1762379251,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0009614010585161911 --batch_size 682 --hidden_size 755 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c87,1222922,724_0,COMPLETED,BOTORCH_MODULAR,51.78000000000000113686837721616,230.014999999999986357579473406076,20,0.000961401058516191098744785304,682,755,0,2,80,6
725,1762376587,2367,2dea3aba-4ba9-4571-9519-13628c704362,1762378954,1762379172,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 908 --hidden_size 1258 --dropout 0 --num_dense_layers 2 --filter 42 --num_conv_layers 6,0,,c116,1222921,725_0,COMPLETED,BOTORCH_MODULAR,48.759999999999998010480339871719,210.925999999999987721821526065469,20,0.001000000000000000020816681712,908,1258,0,2,42,6
726,1762376588,2456,2dea3aba-4ba9-4571-9519-13628c704362,1762379044,1762380629,1585,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00100000000000000002 --batch_size 928 --hidden_size 804 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c63,1222923,726_0,COMPLETED,BOTORCH_MODULAR,58.840000000000003410605131648481,1576.876999999999952706275507807732,150,0.001000000000000000020816681712,928,804,0,2,80,7
727,1762376588,2589,2dea3aba-4ba9-4571-9519-13628c704362,1762379177,1762379420,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 682 --hidden_size 798 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c130,1222926,727_0,COMPLETED,BOTORCH_MODULAR,54.340000000000003410605131648481,230.043000000000006366462912410498,20,0.001000000000000000020816681712,682,798,0,2,80,6
728,1762376589,2816,2dea3aba-4ba9-4571-9519-13628c704362,1762379405,1762379655,250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00093260452626003508 --batch_size 254 --hidden_size 3288 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c76,1222930,728_0,COMPLETED,BOTORCH_MODULAR,57.549999999999997157829056959599,241.111999999999994770405464805663,20,0.000932604526260035079053556384,254,3288,0.5,1,80,6
729,1762376588,2559,2dea3aba-4ba9-4571-9519-13628c704362,1762379147,1762379390,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 887 --hidden_size 3830 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c62,1222924,729_0,COMPLETED,BOTORCH_MODULAR,48.96999999999999886313162278384,230.930000000000006821210263296962,20,0.001000000000000000020816681712,887,3830,0.5,2,80,6
730,1762376589,2828,2dea3aba-4ba9-4571-9519-13628c704362,1762379417,1762379654,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 681 --hidden_size 1166 --dropout 0 --num_dense_layers 2 --filter 48 --num_conv_layers 6,0,,c66,1222931,730_0,COMPLETED,BOTORCH_MODULAR,51.450000000000002842170943040401,222.436000000000007048583938740194,20,0.001000000000000000020816681712,681,1166,0,2,48,6
731,1762376590,2815,2dea3aba-4ba9-4571-9519-13628c704362,1762379405,1762379630,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 680 --hidden_size 943 --dropout 0 --num_dense_layers 2 --filter 71 --num_conv_layers 6,0,,c62,1222932,731_0,COMPLETED,BOTORCH_MODULAR,53.340000000000003410605131648481,218.576999999999998181010596454144,20,0.001000000000000000020816681712,680,943,0,2,71,6
732,1762376589,2605,2dea3aba-4ba9-4571-9519-13628c704362,1762379194,1762379419,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 678 --hidden_size 1099 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c116,1222929,732_0,COMPLETED,BOTORCH_MODULAR,45.8999999999999985789145284798,218.061000000000007048583938740194,20,0.001000000000000000020816681712,678,1099,0.5,2,80,6
733,1762376590,2815,2dea3aba-4ba9-4571-9519-13628c704362,1762379405,1762379630,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 683 --hidden_size 2413 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c34,1222933,733_0,COMPLETED,BOTORCH_MODULAR,49.89000000000000056843418860808,221.283999999999991814547684043646,20,0.001000000000000000020816681712,683,2413,0.5,2,80,6
734,1762376589,2847,2dea3aba-4ba9-4571-9519-13628c704362,1762379436,1762379667,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 889 --hidden_size 3118 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c149,1222934,734_0,COMPLETED,BOTORCH_MODULAR,50.46999999999999886313162278384,223.104000000000013415046851150692,20,0.001000000000000000020816681712,889,3118,0.5,2,80,6
735,1762376591,2844,2dea3aba-4ba9-4571-9519-13628c704362,1762379435,1762379660,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 678 --hidden_size 3082 --dropout 0.20543703534880852768 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c143,1222935,735_0,COMPLETED,BOTORCH_MODULAR,54.549999999999997157829056959599,220.407000000000010686562745831907,20,0.001000000000000000020816681712,678,3082,0.205437035348808527679409507982,2,80,6
736,1762376598,2838,2dea3aba-4ba9-4571-9519-13628c704362,1762379436,1762379661,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 687 --hidden_size 2164 --dropout 0.5 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c116,1222937,736_0,COMPLETED,BOTORCH_MODULAR,51.35999999999999943156581139192,216.991999999999990222931955941021,20,0.001000000000000000020816681712,687,2164,0.5,2,80,6
737,1762376598,2837,2dea3aba-4ba9-4571-9519-13628c704362,1762379435,1762379660,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 683 --hidden_size 699 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c130,1222936,737_0,COMPLETED,BOTORCH_MODULAR,54.46000000000000085265128291212,216.347000000000008412825991399586,20,0.001000000000000000020816681712,683,699,0,2,80,6
738,1762376598,2837,2dea3aba-4ba9-4571-9519-13628c704362,1762379435,1762379660,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 684 --hidden_size 1220 --dropout 0.00947663564781424904 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c56,1222938,738_0,COMPLETED,BOTORCH_MODULAR,53.53000000000000113686837721616,216.449999999999988631316227838397,20,0.001000000000000000020816681712,684,1220,0.009476635647814249038822786986,2,80,6
739,1762376598,2867,2dea3aba-4ba9-4571-9519-13628c704362,1762379465,1762379702,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 679 --hidden_size 3122 --dropout 0 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c75,1222939,739_0,COMPLETED,BOTORCH_MODULAR,52.310000000000002273736754432321,231.068000000000012050804798491299,20,0.001000000000000000020816681712,679,3122,0,2,80,6
740,1762387256,9,2dea3aba-4ba9-4571-9519-13628c704362,1762387265,1762387828,563,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 51 --learning_rate 0.0007212348119068593 --batch_size 235 --hidden_size 2018 --dropout 0.1227699841702762501 --num_dense_layers 2 --filter 36 --num_conv_layers 4,0,,c137,1223327,740_0,COMPLETED,BOTORCH_MODULAR,55.659999999999996589394868351519,559.885999999999967258190736174583,51,0.000721234811906859302893524344,235,2018,0.122769984170276250101672133042,2,36,4
741,1762387256,9,2dea3aba-4ba9-4571-9519-13628c704362,1762387265,1762388035,770,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00067455316977213411 --batch_size 234 --hidden_size 1865 --dropout 0.25570665574272860576 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c66,1223334,741_0,COMPLETED,BOTORCH_MODULAR,64.379999999999995452526491135359,764.980000000000018189894035458565,65,0.000674553169772134112933126282,234,1865,0.255706655742728605762437155136,2,80,5
742,1762387256,9,2dea3aba-4ba9-4571-9519-13628c704362,1762387265,1762388038,773,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00076301644976185757 --batch_size 233 --hidden_size 2490 --dropout 0.34751005532805395726 --num_dense_layers 2 --filter 70 --num_conv_layers 5,0,,c116,1223328,742_0,COMPLETED,BOTORCH_MODULAR,63.78000000000000113686837721616,766.18399999999996907718013972044,65,0.000763016449761857572936518679,233,2490,0.347510055328053957257594674957,2,70,5
743,1762387256,15,2dea3aba-4ba9-4571-9519-13628c704362,1762387271,1762388033,762,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00080597435942902245 --batch_size 233 --hidden_size 755 --dropout 0.1256250828605188774 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c64,1223338,743_0,COMPLETED,BOTORCH_MODULAR,62.8500000000000014210854715202,756.788000000000010913936421275139,66,0.000805974359429022452552815459,233,755,0.125625082860518877403421811323,2,80,5
744,1762387256,11,2dea3aba-4ba9-4571-9519-13628c704362,1762387267,1762388045,778,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00068464191753841465 --batch_size 233 --hidden_size 1900 --dropout 0.26532741019330907672 --num_dense_layers 2 --filter 67 --num_conv_layers 5,0,,c68,1223332,744_0,COMPLETED,BOTORCH_MODULAR,62.990000000000001989519660128281,772.024000000000000909494701772928,65,0.000684641917538414651427103319,233,1900,0.265327410193309076724688111426,2,67,5
745,1762387256,10,2dea3aba-4ba9-4571-9519-13628c704362,1762387266,1762388018,752,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00066689672111472245 --batch_size 233 --hidden_size 1599 --dropout 0.23816133286138493896 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c93,1223329,745_0,COMPLETED,BOTORCH_MODULAR,64.409999999999996589394868351519,746.875,64,0.000666896721114722452507239669,233,1599,0.238161332861384938963666968448,2,80,5
746,1762387256,9,2dea3aba-4ba9-4571-9519-13628c704362,1762387265,1762388043,778,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00072712982365537597 --batch_size 233 --hidden_size 1428 --dropout 0.29321623143742109319 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c68,1223331,746_0,COMPLETED,BOTORCH_MODULAR,64.019999999999996020960679743439,768.826999999999998181010596454144,65,0.00072712982365537596942534071,233,1428,0.293216231437421093186657117258,2,80,6
747,1762387256,15,2dea3aba-4ba9-4571-9519-13628c704362,1762387271,1762388034,763,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00083646279645917861 --batch_size 232 --hidden_size 3262 --dropout 0.47622147961857225207 --num_dense_layers 2 --filter 72 --num_conv_layers 6,0,,c67,1223333,747_0,COMPLETED,BOTORCH_MODULAR,64.209999999999993747223925311118,751.044999999999959072738420218229,65,0.000836462796459178613284191073,232,3262,0.47622147961857225206827592956,2,72,6
748,1762387258,26,2dea3aba-4ba9-4571-9519-13628c704362,1762387284,1762387999,715,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 61 --learning_rate 0.00066731703535008046 --batch_size 228 --hidden_size 1623 --dropout 0.27836898783581309758 --num_dense_layers 2 --filter 64 --num_conv_layers 5,0,,c62,1223341,748_0,COMPLETED,BOTORCH_MODULAR,62.17000000000000170530256582424,704.096000000000003637978807091713,61,0.000667317035350080455316512662,228,1623,0.27836898783581309757551025541,2,64,5
749,1762387257,16,2dea3aba-4ba9-4571-9519-13628c704362,1762387273,1762388049,776,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00080731513573596171 --batch_size 233 --hidden_size 859 --dropout 0.14776644951009773599 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c64,1223337,749_0,COMPLETED,BOTORCH_MODULAR,63.53999999999999914734871708788,772.551000000000044565240386873484,66,0.000807315135735961714007202783,233,859,0.147766449510097735986491329641,2,80,5
750,1762387257,12,2dea3aba-4ba9-4571-9519-13628c704362,1762387269,1762388047,778,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00077971164323529585 --batch_size 233 --hidden_size 2438 --dropout 0.34565598169687117291 --num_dense_layers 2 --filter 79 --num_conv_layers 6,0,,c63,1223340,750_0,COMPLETED,BOTORCH_MODULAR,64.269999999999996020960679743439,773.313999999999964529706630855799,65,0.000779711643235295854235944457,233,2438,0.345655981696871172914597991621,2,79,6
751,1762387257,14,2dea3aba-4ba9-4571-9519-13628c704362,1762387271,1762388090,819,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 68 --learning_rate 0.00070541344992723805 --batch_size 234 --hidden_size 3511 --dropout 0.33302264515799195888 --num_dense_layers 2 --filter 61 --num_conv_layers 5,0,,c64,1223336,751_0,COMPLETED,BOTORCH_MODULAR,62.82000000000000028421709430404,812.44100000000003092281986027956,68,0.000705413449927238048187128072,234,3511,0.333022645157991958875243199145,2,61,5
752,1762387257,8,2dea3aba-4ba9-4571-9519-13628c704362,1762387265,1762388010,745,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00069105999134021407 --batch_size 236 --hidden_size 3091 --dropout 0.42099947150809791108 --num_dense_layers 2 --filter 55 --num_conv_layers 5,0,,c65,1223335,752_0,COMPLETED,BOTORCH_MODULAR,62,735.19100000000003092281986027956,63,0.000691059991340214072388925537,236,3091,0.420999471508097911076617947401,2,55,5
753,1762387256,14,2dea3aba-4ba9-4571-9519-13628c704362,1762387270,1762388036,766,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00077627551603632748 --batch_size 233 --hidden_size 1234 --dropout 0.27031879738708025629 --num_dense_layers 2 --filter 80 --num_conv_layers 6,0,,c63,1223339,753_0,COMPLETED,BOTORCH_MODULAR,64.090000000000003410605131648481,758.927000000000020918378140777349,65,0.000776275516036327483185286447,233,1234,0.270318797387080256289237922829,2,80,6
754,1762387256,9,2dea3aba-4ba9-4571-9519-13628c704362,1762387265,1762388042,777,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00080027075173834915 --batch_size 233 --hidden_size 690 --dropout 0.14094686909464346214 --num_dense_layers 2 --filter 68 --num_conv_layers 6,0,,c69,1223330,754_0,COMPLETED,BOTORCH_MODULAR,62,769.311000000000035470293369144201,65,0.000800270751738349148118878418,233,690,0.140946869094643462139160305924,2,68,6
755,1762387258,26,2dea3aba-4ba9-4571-9519-13628c704362,1762387284,1762388055,771,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00068053619125785691 --batch_size 233 --hidden_size 1894 --dropout 0.25934822098176890659 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c62,1223342,755_0,COMPLETED,BOTORCH_MODULAR,64.370000000000004547473508864641,764.409999999999968167685437947512,65,0.000680536191257856914148260952,233,1894,0.259348220981768906590048118233,2,80,5
756,1762387267,19,2dea3aba-4ba9-4571-9519-13628c704362,1762387286,1762388096,810,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00077354857378291776 --batch_size 233 --hidden_size 3583 --dropout 0.34507116627195022485 --num_dense_layers 2 --filter 74 --num_conv_layers 5,0,,c148,1223344,756_0,COMPLETED,BOTORCH_MODULAR,63.8999999999999985789145284798,801.74300000000005184119800105691,66,0.000773548573782917758996646729,233,3583,0.345071166271950224846420951508,2,74,5
757,1762387267,18,2dea3aba-4ba9-4571-9519-13628c704362,1762387285,1762388098,813,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 67 --learning_rate 0.00072925545709636623 --batch_size 232 --hidden_size 2139 --dropout 0.30424889339246291575 --num_dense_layers 2 --filter 74 --num_conv_layers 5,0,,c62,1223346,757_0,COMPLETED,BOTORCH_MODULAR,63.71000000000000085265128291212,810.288999999999987267074175179005,67,0.000729255457096366233732398499,232,2139,0.304248893392462915752361141131,2,74,5
758,1762387267,23,2dea3aba-4ba9-4571-9519-13628c704362,1762387290,1762388149,859,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00072242343500652834 --batch_size 230 --hidden_size 3594 --dropout 0.3026809875185690335 --num_dense_layers 2 --filter 61 --num_conv_layers 5,0,,c62,1223345,758_0,COMPLETED,BOTORCH_MODULAR,62.82000000000000028421709430404,851.684999999999945430317893624306,72,0.000722423435006528335232400817,230,3594,0.302680987518569033500881459986,2,61,5
759,1762387268,17,2dea3aba-4ba9-4571-9519-13628c704362,1762387285,1762388056,771,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00079376270280770921 --batch_size 233 --hidden_size 672 --dropout 0.10553430315712671039 --num_dense_layers 2 --filter 80 --num_conv_layers 5,0,,c61,1223347,759_0,COMPLETED,BOTORCH_MODULAR,63.479999999999996873611962655559,762.313999999999964529706630855799,66,0.000793762702807709213427556083,233,672,0.105534303157126710392965662777,2,80,5
760,1762395603,4,2dea3aba-4ba9-4571-9519-13628c704362,1762395607,1762395850,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0003970037819047483 --batch_size 490 --hidden_size 3880 --dropout 0 --num_dense_layers 2 --filter 51 --num_conv_layers 7,0,,c140,1223533,760_0,COMPLETED,BOTORCH_MODULAR,48.049999999999997157829056959599,237.578000000000002955857780762017,20,0.000397003781904748298450108512,490,3880,0,2,51,7
761,1762395603,6,2dea3aba-4ba9-4571-9519-13628c704362,1762395609,1762395946,337,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00088270383508512321 --batch_size 739 --hidden_size 1131 --dropout 0 --num_dense_layers 2 --filter 57 --num_conv_layers 7,0,,c143,1223530,761_0,COMPLETED,BOTORCH_MODULAR,49.770000000000003126388037344441,327.783999999999991814547684043646,30,0.000882703835085123212321478459,739,1131,0,2,57,7
762,1762395603,6,2dea3aba-4ba9-4571-9519-13628c704362,1762395609,1762395927,318,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.00076734893401601682 --batch_size 750 --hidden_size 2238 --dropout 0.21086503342298859587 --num_dense_layers 1 --filter 76 --num_conv_layers 7,0,,c139,1223535,762_0,COMPLETED,BOTORCH_MODULAR,55.5,311.555999999999983174348017200828,28,0.000767348934016016817963312668,750,2238,0.210865033422988595868119432453,1,76,7
763,1762395605,6,2dea3aba-4ba9-4571-9519-13628c704362,1762395611,1762395935,324,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00083892896244399122 --batch_size 740 --hidden_size 2945 --dropout 0.34134937222346362073 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c137,1223538,763_0,COMPLETED,BOTORCH_MODULAR,57.57000000000000028421709430404,320.937000000000011823431123048067,29,0.000838928962443991218210503913,740,2945,0.341349372223463620734662526957,1,80,7
764,1762395604,3,2dea3aba-4ba9-4571-9519-13628c704362,1762395607,1762395839,232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00044176537107222801 --batch_size 599 --hidden_size 768 --dropout 0 --num_dense_layers 2 --filter 32 --num_conv_layers 5,0,,c139,1223534,764_0,COMPLETED,BOTORCH_MODULAR,46.85999999999999943156581139192,220.733000000000004092726157978177,20,0.000441765371072228008302723579,599,768,0,2,32,5
765,1762395604,7,2dea3aba-4ba9-4571-9519-13628c704362,1762395611,1762395929,318,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.00070819028063256789 --batch_size 756 --hidden_size 2006 --dropout 0 --num_dense_layers 1 --filter 41 --num_conv_layers 7,0,,c137,1223539,765_0,COMPLETED,BOTORCH_MODULAR,50.14000000000000056843418860808,309.648000000000024556356947869062,28,0.000708190280632567891426487616,756,2006,0,1,41,7
766,1762395606,21,2dea3aba-4ba9-4571-9519-13628c704362,1762395627,1762395959,332,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00086004824856917618 --batch_size 750 --hidden_size 2260 --dropout 0.15556791206656281346 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c133,1223544,766_0,COMPLETED,BOTORCH_MODULAR,55.740000000000001989519660128281,326.125,29,0.000860048248569176177098782876,750,2260,0.155567912066562813455661284934,1,80,7
767,1762395603,4,2dea3aba-4ba9-4571-9519-13628c704362,1762395607,1762395945,338,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00087228702501050226 --batch_size 742 --hidden_size 3353 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c143,1223531,767_0,COMPLETED,BOTORCH_MODULAR,55.71999999999999886313162278384,333.197000000000002728484105318785,30,0.000872287025010502260237432726,742,3353,0.5,1,80,7
768,1762395604,5,2dea3aba-4ba9-4571-9519-13628c704362,1762395609,1762395953,344,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00076904192297117923 --batch_size 741 --hidden_size 2494 --dropout 0.21420934601455368651 --num_dense_layers 1 --filter 73 --num_conv_layers 7,0,,c138,1223536,768_0,COMPLETED,BOTORCH_MODULAR,55.090000000000003410605131648481,333.702999999999974534148350358009,29,0.000769041922971179232708383022,741,2494,0.214209346014553686510240027019,1,73,7
769,1762395605,23,2dea3aba-4ba9-4571-9519-13628c704362,1762395628,1762395858,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00054140477869465639 --batch_size 612 --hidden_size 732 --dropout 0 --num_dense_layers 2 --filter 39 --num_conv_layers 5,0,,c132,1223545,769_0,COMPLETED,BOTORCH_MODULAR,48.310000000000002273736754432321,223.455000000000012505552149377763,20,0.000541404778694656385953920541,612,732,0,2,39,5
770,1762395605,5,2dea3aba-4ba9-4571-9519-13628c704362,1762395610,1762395933,323,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00063502062730448009 --batch_size 744 --hidden_size 1740 --dropout 0.02009099000026590143 --num_dense_layers 1 --filter 48 --num_conv_layers 7,0,,c134,1223541,770_0,COMPLETED,BOTORCH_MODULAR,51.1499999999999985789145284798,314.769999999999981810105964541435,29,0.000635020627304480091146476894,744,1740,0.020090990000265901427312087435,1,48,7
771,1762395605,4,2dea3aba-4ba9-4571-9519-13628c704362,1762395609,1762395852,243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00058375846776309321 --batch_size 402 --hidden_size 542 --dropout 0.5 --num_dense_layers 1 --filter 68 --num_conv_layers 7,0,,c137,1223537,771_0,COMPLETED,BOTORCH_MODULAR,50.89000000000000056843418860808,233.395000000000010231815394945443,20,0.000583758467763093209790259408,402,542,0.5,1,68,7
772,1762395604,5,2dea3aba-4ba9-4571-9519-13628c704362,1762395609,1762395934,325,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.00084910430105864659 --batch_size 738 --hidden_size 1165 --dropout 0.20126747566013375446 --num_dense_layers 1 --filter 67 --num_conv_layers 7,0,,c136,1223540,772_0,COMPLETED,BOTORCH_MODULAR,55.17000000000000170530256582424,317.630999999999971805664245039225,28,0.000849104301058646593336476371,738,1165,0.20126747566013375445592714641,1,67,7
773,1762395603,5,2dea3aba-4ba9-4571-9519-13628c704362,1762395608,1762396773,1165,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00070945140158010808 --batch_size 517 --hidden_size 2011 --dropout 0.02946223130669947329 --num_dense_layers 1 --filter 38 --num_conv_layers 4,0,,c141,1223532,773_0,COMPLETED,BOTORCH_MODULAR,57.049999999999997157829056959599,1155.173999999999978172127157449722,105,0.000709451401580108082824127624,517,2011,0.029462231306699473293297941723,1,38,4
774,1762395605,22,2dea3aba-4ba9-4571-9519-13628c704362,1762395627,1762395915,288,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00064628327900835537 --batch_size 751 --hidden_size 3587 --dropout 0 --num_dense_layers 1 --filter 48 --num_conv_layers 7,0,,c134,1223543,774_0,COMPLETED,BOTORCH_MODULAR,49.840000000000003410605131648481,280.744000000000028194335754960775,27,0.000646283279008355365444216112,751,3587,0,1,48,7
775,1762395604,7,2dea3aba-4ba9-4571-9519-13628c704362,1762395611,1762396735,1124,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00077554928512108608 --batch_size 517 --hidden_size 840 --dropout 0.08435543690749755519 --num_dense_layers 2 --filter 80 --num_conv_layers 4,0,,c134,1223542,775_0,COMPLETED,BOTORCH_MODULAR,59.310000000000002273736754432321,1117.852000000000089130480773746967,103,0.000775549285121086080969921017,517,840,0.084355436907497555187873672367,2,80,4
776,1762395615,12,2dea3aba-4ba9-4571-9519-13628c704362,1762395627,1762395852,225,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00090142451710547959 --batch_size 598 --hidden_size 1859 --dropout 0 --num_dense_layers 2 --filter 15 --num_conv_layers 5,0,,c130,1223546,776_0,COMPLETED,BOTORCH_MODULAR,43.369999999999997442046151263639,219.070999999999997953636921010911,20,0.000901424517105479591871919354,598,1859,0,2,15,5
777,1762395615,14,2dea3aba-4ba9-4571-9519-13628c704362,1762395629,1762395930,301,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 23 --learning_rate 0.00068674707671978626 --batch_size 140 --hidden_size 1838 --dropout 0.32718970853971868218 --num_dense_layers 1 --filter 80 --num_conv_layers 5,0,,c130,1223547,777_0,COMPLETED,BOTORCH_MODULAR,57.3999999999999985789145284798,297.389999999999986357579473406076,23,0.000686747076719786261542188832,140,1838,0.327189708539718682178687458872,1,80,5
778,1762395615,14,2dea3aba-4ba9-4571-9519-13628c704362,1762395629,1762395978,349,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00084306346101108761 --batch_size 742 --hidden_size 2865 --dropout 0.30880729891221847527 --num_dense_layers 2 --filter 80 --num_conv_layers 7,0,,c129,1223549,778_0,COMPLETED,BOTORCH_MODULAR,56.39000000000000056843418860808,340.745999999999980900611262768507,30,0.000843063461011087610097458622,742,2865,0.30880729891221847527305044423,2,80,7
779,1762395615,12,2dea3aba-4ba9-4571-9519-13628c704362,1762395627,1762395971,344,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00082534670062524827 --batch_size 742 --hidden_size 2898 --dropout 0.27525328659270964504 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c129,1223548,779_0,COMPLETED,BOTORCH_MODULAR,56.6000000000000014210854715202,338.930000000000006821210263296962,30,0.000825346700625248269785061428,742,2898,0.275253286592709645042020838446,1,80,7
780,1762405161,19,2dea3aba-4ba9-4571-9519-13628c704362,1762405180,1762405417,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00078384360913136481 --batch_size 974 --hidden_size 561 --dropout 0 --num_dense_layers 1 --filter 78 --num_conv_layers 5,0,,c139,1223732,780_0,COMPLETED,BOTORCH_MODULAR,51.700000000000002842170943040401,231.336999999999989086063578724861,20,0.000783843609131364810714559521,974,561,0,1,78,5
781,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762405408,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00046908232410890628 --batch_size 348 --hidden_size 2533 --dropout 0.5 --num_dense_layers 1 --filter 21 --num_conv_layers 7,0,,c149,1223722,781_0,COMPLETED,BOTORCH_MODULAR,40.57999999999999829469743417576,227.082999999999998408384271897376,20,0.000469082324108906277386477068,348,2533,0.5,1,21,7
782,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762405408,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 969 --hidden_size 3842 --dropout 0 --num_dense_layers 1 --filter 55 --num_conv_layers 5,0,,c148,1223723,782_0,COMPLETED,BOTORCH_MODULAR,53.67000000000000170530256582424,227.683999999999997498889570124447,20,0.001000000000000000020816681712,969,3842,0,1,55,5
783,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762405409,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 969 --hidden_size 1229 --dropout 0 --num_dense_layers 2 --filter 40 --num_conv_layers 5,0,,c141,1223728,783_0,COMPLETED,BOTORCH_MODULAR,49.880000000000002557953848736361,228.966000000000008185452315956354,20,0.001000000000000000020816681712,969,1229,0,2,40,5
784,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762406059,888,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.0008552208888792139 --batch_size 984 --hidden_size 2794 --dropout 0.1468244745379884697 --num_dense_layers 1 --filter 71 --num_conv_layers 4,0,,c155,1223719,784_0,COMPLETED,BOTORCH_MODULAR,59.14000000000000056843418860808,878.019999999999981810105964541435,82,0.000855220888879213900733711196,984,2794,0.146824474537988469702298743869,1,71,4
785,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762405420,249,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00079884705666186974 --batch_size 353 --hidden_size 4071 --dropout 0 --num_dense_layers 1 --filter 80 --num_conv_layers 7,0,,c154,1223720,785_0,COMPLETED,BOTORCH_MODULAR,54.619999999999997442046151263639,239.223000000000013187673175707459,20,0.00079884705666186973938014404,353,4071,0,1,80,7
786,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762405409,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 969 --hidden_size 1473 --dropout 0 --num_dense_layers 2 --filter 36 --num_conv_layers 5,0,,c153,1223721,786_0,COMPLETED,BOTORCH_MODULAR,49.28000000000000113686837721616,228.746000000000009322320693172514,20,0.001000000000000000020816681712,969,1473,0,2,36,5
787,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762406235,1064,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 84 --learning_rate 0.00078305916869603046 --batch_size 160 --hidden_size 3707 --dropout 0.39566332273797083507 --num_dense_layers 1 --filter 73 --num_conv_layers 6,0,,c146,1223725,787_0,COMPLETED,BOTORCH_MODULAR,64.89000000000000056843418860808,1052.99299999999993815436027944088,84,0.000783059168696030464054680387,160,3707,0.395663322737970835074605702175,1,73,6
788,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762405395,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 966 --hidden_size 2016 --dropout 0 --num_dense_layers 1 --filter 29 --num_conv_layers 5,0,,c143,1223727,788_0,COMPLETED,BOTORCH_MODULAR,49.060000000000002273736754432321,218.235999999999989995558280497789,20,0.001000000000000000020816681712,966,2016,0,1,29,5
789,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762405402,231,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 1024 --hidden_size 3338 --dropout 0 --num_dense_layers 1 --filter 51 --num_conv_layers 6,0,,c146,1223724,789_0,COMPLETED,BOTORCH_MODULAR,36.53000000000000113686837721616,223.133999999999986130205797962844,20,0.000100000000000000004792173602,1024,3338,0,1,51,6
790,1762405161,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405171,1762406268,1097,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 89 --learning_rate 0.00085381049533095235 --batch_size 154 --hidden_size 3920 --dropout 0.44476253067200233193 --num_dense_layers 1 --filter 76 --num_conv_layers 6,0,,c143,1223726,790_0,COMPLETED,BOTORCH_MODULAR,66.260000000000005115907697472721,1089.070999999999912688508629798889,89,0.000853810495330952347152464466,154,3920,0.444762530672002331932901597611,1,76,6
791,1762405161,18,2dea3aba-4ba9-4571-9519-13628c704362,1762405179,1762406302,1123,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00079342227158817568 --batch_size 89 --hidden_size 3806 --dropout 0.39235116488264193402 --num_dense_layers 1 --filter 76 --num_conv_layers 6,0,,c141,1223729,791_0,COMPLETED,BOTORCH_MODULAR,65.85999999999999943156581139192,1119.297000000000025465851649641991,77,0.000793422271588175675831322575,89,3806,0.392351164882641934017470930485,1,76,6
792,1762405167,12,2dea3aba-4ba9-4571-9519-13628c704362,1762405179,1762406164,985,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00092566810099465051 --batch_size 164 --hidden_size 3571 --dropout 0.48505571504823069562 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c137,1223734,792_0,COMPLETED,BOTORCH_MODULAR,66.28000000000000113686837721616,976.427999999999997271515894681215,82,0.000925668100994650510163208601,164,3571,0.485055715048230695618514118905,1,80,6
793,1762405162,20,2dea3aba-4ba9-4571-9519-13628c704362,1762405182,1762405400,218,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 964 --hidden_size 1892 --dropout 0 --num_dense_layers 2 --filter 28 --num_conv_layers 5,0,,c139,1223731,793_0,COMPLETED,BOTORCH_MODULAR,47.909999999999996589394868351519,214.673000000000001818989403545856,20,0.001000000000000000020816681712,964,1892,0,2,28,5
794,1762405161,19,2dea3aba-4ba9-4571-9519-13628c704362,1762405180,1762405410,230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 960 --hidden_size 1277 --dropout 0 --num_dense_layers 1 --filter 41 --num_conv_layers 5,0,,c140,1223730,794_0,COMPLETED,BOTORCH_MODULAR,51.1000000000000014210854715202,221.625,20,0.001000000000000000020816681712,960,1277,0,1,41,5
795,1762405164,15,2dea3aba-4ba9-4571-9519-13628c704362,1762405179,1762406316,1137,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 79 --learning_rate 0.00084386265633209199 --batch_size 73 --hidden_size 3775 --dropout 0.42006188814142919608 --num_dense_layers 1 --filter 80 --num_conv_layers 6,0,,c138,1223733,795_0,COMPLETED,BOTORCH_MODULAR,67.450000000000002842170943040401,1129.32300000000009276845958083868,79,0.000843862656332091992834876226,73,3775,0.420061888141429196075193885918,1,80,6
796,1762405172,7,2dea3aba-4ba9-4571-9519-13628c704362,1762405179,1762406252,1073,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00081927549414804231 --batch_size 176 --hidden_size 3913 --dropout 0.49898827402800294273 --num_dense_layers 1 --filter 75 --num_conv_layers 6,0,,c137,1223736,796_0,COMPLETED,BOTORCH_MODULAR,65.459999999999993747223925311118,1063.061999999999898136593401432037,87,0.000819275494148042314479507553,176,3913,0.498988274028002942728221569268,1,75,6
797,1762405171,10,2dea3aba-4ba9-4571-9519-13628c704362,1762405181,1762405405,224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 1013 --hidden_size 2783 --dropout 0 --num_dense_layers 1 --filter 46 --num_conv_layers 7,0,,c137,1223735,797_0,COMPLETED,BOTORCH_MODULAR,34.659999999999996589394868351519,221.106999999999999317878973670304,20,0.000100000000000000004792173602,1013,2783,0,1,46,7
798,1762405172,7,2dea3aba-4ba9-4571-9519-13628c704362,1762405179,1762405417,238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 975 --hidden_size 2858 --dropout 0.5 --num_dense_layers 2 --filter 71 --num_conv_layers 5,0,,c136,1223737,798_0,COMPLETED,BOTORCH_MODULAR,46.479999999999996873611962655559,232.758000000000009777068044058979,20,0.001000000000000000020816681712,975,2858,0.5,2,71,5
799,1762405172,8,2dea3aba-4ba9-4571-9519-13628c704362,1762405180,1762405403,223,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00054210264165994657 --batch_size 745 --hidden_size 1730 --dropout 0 --num_dense_layers 1 --filter 28 --num_conv_layers 7,0,,c134,1223738,799_0,COMPLETED,BOTORCH_MODULAR,41.57000000000000028421709430404,218.884999999999990905052982270718,20,0.000542102641659946565821925901,745,1730,0,1,28,7

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⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None

Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None


⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received

handle_failed_job: job is None

Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json

Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.

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To cancel, press CTRL c, then run 'scancel 1212929'
⠋ Importing logging...
⠋ Importing warnings...
⠋ Importing argparse...
⠋ Importing datetime...
⠋ Importing dataclass...
⠋ Importing socket...
⠋ Importing stat...
⠋ Importing pwd...
⠋ Importing base64...
⠋ Importing json...
⠋ Importing yaml...
⠋ Importing toml...
⠋ Importing csv...
⠋ Importing ast...
⠋ Importing rich.table...
⠋ Importing rich print...
⠋ Importing rich.pretty...
⠋ Importing pformat...
⠋ Importing rich.prompt...
⠋ Importing types.FunctionType...
⠋ Importing typing...
⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
⠋ Importing submitit.Job...
⠋ Importing importlib.util...
⠋ Importing platform...
⠋ Importing inspect frame info...
⠋ Importing pathlib.Path...
⠋ Importing uuid...
⠋ Importing cowsay...
⠋ Importing shutil...
⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
⠋ Importing beartype...
⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠙ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Importing torch...
⠋ Importing numpy...
[WARNING 11-04 08:51:14] 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...
⠋ Importing Cont_X_trans and Y_trans from ax.adapter.registry...
⠋ Importing ax.core.arm...
⠋ Importing ax.core.objective...
⠋ Importing ax.core.Metric...
⠋ Importing ax.exceptions.core...
⠋ Importing ax.exceptions.generation_strategy...
⠋ Importing CORE_DECODER_REGISTRY...
⠋ Trying ax.generation_strategy.generation_node...
⠋ Importing GenerationStep, GenerationStrategy from generation_strategy...
⠋ Importing GenerationNode from generation_node...
⠋ Importing ExternalGenerationNode...
⠋ Importing MaxTrials...
⠋ Importing GeneratorSpec...
⠋ Importing Models from ax.generation_strategy.registry...
⠋ Importing get_pending_observation_features...
⠋ Importing load_experiment...
⠋ Importing save_experiment...
⠋ Importing save_experiment_to_db...
⠋ Importing TrialStatus...
⠋ Importing Data...
⠋ Importing Experiment...
⠋ Importing parameter types...
⠋ Importing TParameterization...
⠋ Importing pandas...
⠋ Importing AxClient and ObjectiveProperties...
⠋ Importing RandomForestRegressor...
⠋ Importing botorch...
⠋ Importing submitit...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Run-UUID: 27bb4465-92ad-4cc0-8104-d330c07f0125
 .d88888b.                      d8b .d88888b.         888    .d8888b.  
d88P" "Y88b                     Y8Pd88P" "Y88b        888   d88P  Y88b 
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888     88888888b.d88b. 88888b. 888888     88888888b. 888888     .d88P 
888     888888 "888 "88b888 "88b888888     888888 "88b888    .od888P"  
888     888888  888  888888  888888888     888888  888888   d88P"      
Y88b. .d88P888  888  888888  888888Y88b. .d88P888 d88PY88b. 888"       
 "Y88888P" 888  888  888888  888888 "Y88888P" 88888P"  "Y888888888888  
                                              888                      
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⠋ Writing worker creation log...
omniopt --partition=alpha --experiment_name=mnist_non_normalized_runtime --mem_gb=40 --time=2880 --worker_timeout=120 --max_eval=1000 --num_parallel_jobs=20 --gpus=1 --num_random_steps=20 --follow --live_share --send_anonymized_usage_stats --result_names VAL_ACC=max RUNTIME=min --run_program=cHl0aG9uMyAvZGF0YS9ob3JzZS93cy9zMzgxMTE0MS1vbW5pb3B0X21uaXN0X3Rlc3RfY2FsbC9vbW5pb3B0Ly50ZXN0cy9tbmlzdC90cmFpbiAtLWVwb2NocyAlZXBvY2hzIC0tbGVhcm5pbmdfcmF0ZSAlbHIgLS1iYXRjaF9zaXplICViYXRjaF9zaXplIC0taGlkZGVuX3NpemUgJWhpZGRlbl9zaXplIC0tZHJvcG91dCAlZHJvcG91dCAtLW51bV9kZW5zZV9sYXllcnMgJW51bV9kZW5zZV9sYXllcnMgLS1maWx0ZXIgJShmaWx0ZXIpIC0tbnVtX2NvbnZfbGF5ZXJzICUobnVtX2NvbnZfbGF5ZXJzKQo= --run_program_once=cHl0aG9uMyAvZGF0YS9ob3JzZS93cy9zMzgxMTE0MS1vbW5pb3B0X21uaXN0X3Rlc3RfY2FsbC9vbW5pb3B0Ly50ZXN0cy9tbmlzdC90cmFpbiAtLWluc3RhbGwK --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 --username=conv_test_non_normalized --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 20 150 int false --parameter lr range 0.0001 0.001 float false --parameter batch_size range 8 1024 int false --parameter hidden_size range 8 4096 int false --parameter dropout range 0 0.5 float false --parameter num_dense_layers range 1 2 int false --parameter filter range 4 80 int false --parameter num_conv_layers range 4 7 int false
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
Executing command: python3 
/data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train 
--install

Exiting, since the installation should now be done
Setup script completed successfully ✅
⠋ Saving state files...
Run-folder: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/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...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=conv_test_non_normalized&experiment_name=mnist_non_normalized_runtime&run_nr=1 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 980 steps.
Run-Program: python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs %epochs --learning_rate %lr --batch_size %batch_size --hidden_size %hidden_size --dropout %dropout --num_dense_layers %num_dense_layers --filter %(filter) --num_conv_layers %(num_conv_layers)

                            Experiment parameters                            
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name             ┃ Type  ┃ Lower bound ┃ Upper bound ┃ Type  ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ epochs           │ range │ 20          │ 150         │ int   │ No         │
│ lr               │ range │ 0.0001      │ 0.001       │ float │ No         │
│ batch_size       │ range │ 8           │ 1024        │ int   │ No         │
│ hidden_size      │ range │ 8           │ 4096        │ int   │ No         │
│ dropout          │ range │ 0           │ 0.5         │ float │ No         │
│ num_dense_layers │ range │ 1           │ 2           │ int   │ No         │
│ filter           │ range │ 4           │ 80          │ int   │ No         │
│ num_conv_layers  │ range │ 4           │ 7           │ int   │ No         │
└──────────────────┴───────┴─────────────┴─────────────┴───────┴────────────┘
        Result-Names         
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ VAL_ACC     │         max │
│ RUNTIME     │         min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, 200 done, running/pending/unknown 10/4/1 = ∑15/20, started new job                           :  20%|██░░░░░░░░| 200/1000 [2:47:18<5:37:09, 25.29s/it]sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
BOTORCH_MODULAR, 200 done, running/pending/unknown 10/5/1 = ∑16/20, started new job                           :  20%|██░░░░░░░░| 200/1000 [2:47:33<5:37:09, 25.29s/it]sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
BOTORCH_MODULAR, 210 done, running 6 = ∑6/20, new result: VAL_ACC: 31.020000, RUNTIME: 215.636000             :  21%|██░░░░░░░░| 212/1000 [2:52:32<6:34:30, 30.04s/it]Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json
BOTORCH_MODULAR, 276 done, pending/unknown 7/1 = ∑8/20, started new job                                                 :  28%|██▒░░░░░░░| 276/1000 [4:56:42<46:03:45, 229.04s/it]sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
BOTORCH_MODULAR, 276 done, pending/unknown 8/1 = ∑9/20, started new job                                                 :  28%|██▒░░░░░░░| 276/1000 [4:57:35<46:03:45, 229.04s/it]sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
BOTORCH_MODULAR, 276 done, pending/unknown 9/1 = ∑10/20, started new job                                                :  28%|██▒░░░░░░░| 276/1000 [4:57:45<46:03:45, 229.04s/it]sbatch: error: Batch job submission failed: Unexpected message received

⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
handle_failed_job: job is None
BOTORCH_MODULAR, 302 done, completed/running 3/1 = ∑4/20, new result: VAL_ACC: 53.670000, RUNTIME: 263.457000           :  30%|███░░░░░░░| 303/1000 [5:51:02<6:01:37, 31.13s/it]Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json
Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 52.360000, RUNTIME: 254.339000                     :  34%|███░░░░░░░| 335/1000 [6:54:16<12:15:34, 66.37s/it] Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, new result: VAL_ACC: 51.420000, RUNTIME: 225.327000                     :  38%|███▒░░░░░░| 384/1000 [8:58:06<21:39:36, 126.59s/it]Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json
BOTORCH_MODULAR, 403 done, completed 3 = ∑3/20, new result: VAL_ACC: 56.060000, RUNTIME: 347.777000                     :  40%|████░░░░░░| 404/1000 [9:53:16<16:08:50, 97.53s/it] Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json
BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 52.470000, RUNTIME: 225.606000                   :  42%|████░░░░░░| 425/1000 [10:44:54<23:35:23, 147.69s/it]Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 57.900000, RUNTIME: 307.156000          :  44%|████░░░░░░| 437/1000 [11:46:50<20:40:14, 132.18s/it]Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, new result: VAL_ACC: 56.860000, RUNTIME: 541.028000           :  46%|████▒░░░░░| 459/1000 [12:45:47<15:55:47, 106.00s/it]Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 58.840000, RUNTIME: 1074.355000         :  55%|█████▒░░░░| 552/1000 [21:44:38<39:55:49, 320.87s/it]Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
BOTORCH_MODULAR, 567 done, completed 19 = ∑19/20, new result: VAL_ACC: 62.910000, RUNTIME: 408.949000                   :  59%|█████▒░░░░| 586/1000 [23:20:20<14:11:29, 123.40s/it]Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, new result: VAL_ACC: 55.310000, RUNTIME: 372.721000          :  64%|██████░░░░| 635/1000 [29:00:10<41:14:18, 406.74s/it]Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
BOTORCH_MODULAR, 662 done, completed/running 1/3 = ∑4/20, new result: VAL_ACC: 61.430000, RUNTIME: 1401.370000          :  66%|██████▒░░░| 663/1000 [31:05:14<14:31:28, 155.16s/it]Error parsing checkpoint_file /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0/state_files/checkpoint.json
BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 63.900000, RUNTIME: 801.743000                      :  74%|███████░░░| 735/1000 [40:23:43<42:28:57, 577.12s/it]Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
Error in get_calculated_frontier: No full data points with both objectives found in /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_non_normalized_runtime/0.
BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, new result: VAL_ACC: 64.890000, RUNTIME: 1052.993000                       :  78%|███████▒░░| 781/1000 [45:28:14<18:58:30, 311.92s/it]

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2025-11-04 08:51:29 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, Started OmniOpt2 run...
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #1/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #2/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #3/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #4/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #5/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #6/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #7/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #8/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #9/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #10/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #11/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #12/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #13/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #14/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #15/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #16/20
2025-11-04 08:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #17/20
2025-11-04 08:51:31 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #18/20
2025-11-04 08:51:31 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #19/20
2025-11-04 08:51:31 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, getting new HP set #20/20
2025-11-04 08:51:31 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, requested 20 jobs, got 20, 0.06 s/job
2025-11-04 08:51:31 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #1/20 start                     
2025-11-04 08:51:31 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #2/20 start                     
2025-11-04 08:51:31 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #3/20 start                     
2025-11-04 08:51:33 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #4/20 start                     
2025-11-04 08:51:33 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #5/20 start                     
2025-11-04 08:51:33 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #6/20 start                     
2025-11-04 08:51:34 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #7/20 start                     
2025-11-04 08:51:34 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #8/20 start                     
2025-11-04 08:51:35 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #9/20 start                     
2025-11-04 08:51:36 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #10/20 start                    
2025-11-04 08:51:38 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #11/20 start                    
2025-11-04 08:51:38 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #12/20 start                    
2025-11-04 08:51:38 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #13/20 start                    
2025-11-04 08:51:39 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #14/20 start                    
2025-11-04 08:51:39 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #15/20 start                    
2025-11-04 08:51:39 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #16/20 start                    
2025-11-04 08:51:39 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #17/20 start                    
2025-11-04 08:51:42 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #18/20 start                    
2025-11-04 08:51:44 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #19/20 start                    
2025-11-04 08:51:44 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, eval #20/20 start                    
2025-11-04 08:51:44 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, starting new job                     
2025-11-04 08:51:45 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, pending 1 = ∑1/20, started new job   
2025-11-04 08:51:45 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, pending 1 = ∑1/20, starting new job  
2025-11-04 08:51:55 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/unknown 1/2 = ∑3/20, started new job
2025-11-04 08:51:55 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/unknown 1/3 = ∑4/20, started new job
2025-11-04 08:51:55 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/unknown 1/3 = ∑4/20, starting new job
2025-11-04 08:52:00 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 1/3/1 = ∑5/20, started new job
2025-11-04 08:52:07 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/unknown 5/1 = ∑6/20, started new job          
2025-11-04 08:52:11 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 5/1/1 = ∑7/20, started new job
2025-11-04 08:52:15 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 5/2/1 = ∑8/20, started new job
2025-11-04 08:52:20 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 5/3/1 = ∑9/20, started new job
2025-11-04 08:52:20 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 5/3/2 = ∑10/20, started new job
2025-11-04 08:52:20 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 5/3/3 = ∑11/20, started new job
2025-11-04 08:52:25 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/unknown 11/1 = ∑12/20, started new job         
2025-11-04 08:52:36 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/unknown 12/1 = ∑13/20, started new job         
2025-11-04 08:52:45 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/unknown 13/1 = ∑14/20, started new job         
2025-11-04 08:52:50 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 13/1/2 = ∑16/20, started new job
2025-11-04 08:52:50 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 13/1/3 = ∑17/20, started new job
2025-11-04 08:52:55 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 13/4/2 = ∑19/20, started new job
2025-11-04 08:52:55 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 13/4/3 = ∑20/20, started new job
2025-11-04 08:52:56 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending/unknown 13/4/3 = ∑20/20, waiting for 20 jobs
2025-11-04 08:53:00 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running/pending 13/7 = ∑20/20, waiting for 20 jobs          
2025-11-04 08:53:06 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running 20 = ∑20/20, waiting for 20 jobs                    
2025-11-04 08:57:52 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, running 20 = ∑20/20, new result: VAL_ACC: 40.810000, RUNTIME: 314.701000
2025-11-04 08:57:54 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 1 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job        
2025-11-04 08:57:54 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 1 done, running 19 = ∑19/20, waiting for 19 jobs                        
2025-11-04 08:58:19 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 1 done, running 19 = ∑19/20, new result: VAL_ACC: 57.200000, RUNTIME: 292.144000
2025-11-04 08:58:23 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 2 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                
2025-11-04 08:58:23 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 2 done, running 18 = ∑18/20, waiting for 18 jobs                                
2025-11-04 09:00:38 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 2 done, running 18 = ∑18/20, new result: VAL_ACC: 50.220000, RUNTIME: 466.405000
2025-11-04 09:00:43 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 3 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job                
2025-11-04 09:00:43 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 3 done, running 17 = ∑17/20, waiting for 17 jobs                                
2025-11-04 09:00:46 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 3 done, running 17 = ∑17/20, new result: VAL_ACC: 57.840000, RUNTIME: 445.818000
2025-11-04 09:00:50 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 4 done, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job                
2025-11-04 09:00:50 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 4 done, running 16 = ∑16/20, waiting for 16 jobs                                
2025-11-04 09:01:37 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 4 done, running 16 = ∑16/20, new result: VAL_ACC: 39.750000, RUNTIME: 561.680000
2025-11-04 09:01:42 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 5 done, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job                
2025-11-04 09:01:42 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 5 done, running 15 = ∑15/20, waiting for 15 jobs                                
2025-11-04 09:02:58 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 5 done, running 15 = ∑15/20, new result: VAL_ACC: 57.280000, RUNTIME: 622.050000
2025-11-04 09:03:02 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 6 done, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job                
2025-11-04 09:03:03 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 6 done, running 14 = ∑14/20, waiting for 14 jobs                                
2025-11-04 09:03:41 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 6 done, running 14 = ∑14/20, new result: VAL_ACC: 48.160000, RUNTIME: 630.609000
2025-11-04 09:03:46 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 7 done, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job                
2025-11-04 09:03:46 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 7 done, running 13 = ∑13/20, waiting for 13 jobs                                
2025-11-04 09:04:32 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 7 done, running 13 = ∑13/20, new result: VAL_ACC: 55.030000, RUNTIME: 714.005000
2025-11-04 09:04:37 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 8 done, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job                
2025-11-04 09:04:37 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 8 done, running 12 = ∑12/20, waiting for 12 jobs                                
2025-11-04 09:05:21 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 8 done, running 12 = ∑12/20, new result: VAL_ACC: 61.090000, RUNTIME: 788.121000
2025-11-04 09:05:26 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 9 done, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job                
2025-11-04 09:05:26 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 9 done, running 11 = ∑11/20, waiting for 11 jobs                                
2025-11-04 09:06:15 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 9 done, running 11 = ∑11/20, new result: VAL_ACC: 40.730000, RUNTIME: 838.682000
2025-11-04 09:06:20 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 10 done, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job               
2025-11-04 09:06:20 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 10 done, running 10 = ∑10/20, waiting for 10 jobs                               
2025-11-04 09:06:52 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 10 done, running 10 = ∑10/20, new result: VAL_ACC: 47.230000, RUNTIME: 877.354000
2025-11-04 09:06:57 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 11 done, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job                  
2025-11-04 09:06:57 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 11 done, running 9 = ∑9/20, waiting for 9 jobs                                   
2025-11-04 09:09:56 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 11 done, running 9 = ∑9/20, new result: VAL_ACC: 49.170000, RUNTIME: 1042.047000 
2025-11-04 09:10:01 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 12 done, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job                   
2025-11-04 09:10:01 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 12 done, running 8 = ∑8/20, waiting for 8 jobs                                   
2025-11-04 09:12:46 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 12 done, running 8 = ∑8/20, new result: VAL_ACC: 56.160000, RUNTIME: 1210.823000 
2025-11-04 09:12:50 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 13 done, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job                   
2025-11-04 09:12:50 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 13 done, running 7 = ∑7/20, waiting for 7 jobs                                   
2025-11-04 09:13:42 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 13 done, running 7 = ∑7/20, new result: VAL_ACC: 46.420000, RUNTIME: 1227.455000 
2025-11-04 09:13:46 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 14 done, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job                   
2025-11-04 09:13:46 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 14 done, running 6 = ∑6/20, waiting for 6 jobs                                   
2025-11-04 09:14:56 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 14 done, running 6 = ∑6/20, new result: VAL_ACC: 56.910000, RUNTIME: 1382.496000 
2025-11-04 09:15:00 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 15 done, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job                   
2025-11-04 09:15:00 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 15 done, running 5 = ∑5/20, waiting for 5 jobs                                   
2025-11-04 09:15:05 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 15 done, running 5 = ∑5/20, new result: VAL_ACC: 59.480000, RUNTIME: 1307.092000 
2025-11-04 09:15:09 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 16 done, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job                   
2025-11-04 09:15:09 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 16 done, running 4 = ∑4/20, waiting for 4 jobs                                   
2025-11-04 09:15:27 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 16 done, running 4 = ∑4/20, new result: VAL_ACC: 59.570000, RUNTIME: 1366.532000 
2025-11-04 09:15:31 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 17 done, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job                   
2025-11-04 09:15:31 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 17 done, running 3 = ∑3/20, waiting for 3 jobs                                   
2025-11-04 09:17:10 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 17 done, running 3 = ∑3/20, new result: VAL_ACC: 52.720000, RUNTIME: 1425.098000 
2025-11-04 09:17:15 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 18 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job                   
2025-11-04 09:17:15 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 18 done, running 2 = ∑2/20, waiting for 2 jobs                                   
2025-11-04 09:19:02 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 18 done, running 2 = ∑2/20, new result: VAL_ACC: 51.920000, RUNTIME: 1587.902000 
2025-11-04 09:19:06 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 19 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job                   
2025-11-04 09:19:06 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 19 done, running 1 = ∑1/20, waiting for 1 job                                    
2025-11-04 09:20:09 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 19 done, running 1 = ∑1/20, new result: VAL_ACC: 47.620000, RUNTIME: 1607.325000 
2025-11-04 09:20:16 (2dea3aba-4ba9-4571-9519-13628c704362): SOBOL, 20 done, waiting for 1 job, finished 1 job                                       
2025-11-04 09:21:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #1/20                                      
2025-11-04 09:21:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #2/20                                      
2025-11-04 09:21:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #3/20                                      
2025-11-04 09:21:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #4/20                                      
2025-11-04 09:21:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #5/20                                      
2025-11-04 09:21:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #6/20                                      
2025-11-04 09:21:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #7/20                                      
2025-11-04 09:21:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #8/20                                      
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #9/20                                      
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #10/20                                     
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #11/20                                     
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #12/20                                     
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #13/20                                     
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #14/20                                     
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #15/20                                     
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #16/20                                     
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #17/20                                     
2025-11-04 09:21:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #18/20                                     
2025-11-04 09:21:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #19/20                                     
2025-11-04 09:21:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, getting new HP set #20/20                                     
2025-11-04 09:21:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, requested 20 jobs, got 20, 3.65 s/job                         
2025-11-04 09:21:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #1/20 start                                              
2025-11-04 09:21:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #2/20 start                                              
2025-11-04 09:21:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #3/20 start                                              
2025-11-04 09:21:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #4/20 start                                              
2025-11-04 09:21:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #5/20 start                                              
2025-11-04 09:21:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #6/20 start                                              
2025-11-04 09:21:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #7/20 start                                              
2025-11-04 09:21:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #8/20 start                                              
2025-11-04 09:21:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #9/20 start                                              
2025-11-04 09:21:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #10/20 start                                             
2025-11-04 09:21:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #11/20 start                                             
2025-11-04 09:21:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #12/20 start                                             
2025-11-04 09:21:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #13/20 start                                             
2025-11-04 09:21:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #14/20 start                                             
2025-11-04 09:21:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #15/20 start                                             
2025-11-04 09:21:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #16/20 start                                             
2025-11-04 09:21:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #17/20 start                                             
2025-11-04 09:21:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #18/20 start                                             
2025-11-04 09:21:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #19/20 start                                             
2025-11-04 09:21:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, eval #20/20 start                                             
2025-11-04 09:21:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, starting new job                                              
2025-11-04 09:21:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, unknown 1 = ∑1/20, started new job                            
2025-11-04 09:21:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, unknown 1 = ∑1/20, starting new job                           
2025-11-04 09:21:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running 2 = ∑2/20, started new job                            
2025-11-04 09:21:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running 2 = ∑2/20, starting new job                           
2025-11-04 09:22:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/unknown 2/1 = ∑3/20, started new job                  
2025-11-04 09:22:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/unknown 2/1 = ∑3/20, starting new job                 
2025-11-04 09:22:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/unknown 3/1 = ∑4/20, started new job                  
2025-11-04 09:22:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/unknown 3/1 = ∑4/20, starting new job                 
2025-11-04 09:22:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/unknown 4/2 = ∑6/20, started new job                  
2025-11-04 09:22:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/pending/unknown 4/2/3 = ∑9/20, started new job        
2025-11-04 09:22:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/pending/unknown 4/5/3 = ∑12/20, started new job       
2025-11-04 09:22:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/unknown 12/1 = ∑13/20, started new job                
2025-11-04 09:22:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/unknown 13/1 = ∑14/20, started new job                
2025-11-04 09:22:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/unknown 14/1 = ∑15/20, started new job                
2025-11-04 09:22:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/pending/unknown 14/1/1 = ∑16/20, started new job      
2025-11-04 09:22:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/pending/unknown 14/1/2 = ∑17/20, started new job      
2025-11-04 09:22:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/pending/unknown 14/1/3 = ∑18/20, started new job      
2025-11-04 09:23:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/pending/unknown 14/4/2 = ∑20/20, started new job      
2025-11-04 09:23:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/pending/unknown 14/4/2 = ∑20/20, waiting for 20 jobs  
2025-11-04 09:23:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running/pending 14/6 = ∑20/20, waiting for 20 jobs            
2025-11-04 09:23:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running 20 = ∑20/20, waiting for 20 jobs                      
2025-11-04 09:25:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 20 done, running 20 = ∑20/20, new result: VAL_ACC: 54.880000, RUNTIME: 234.893000
2025-11-04 09:25:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 21 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                
2025-11-04 09:25:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 21 done, running 19 = ∑19/20, waiting for 19 jobs                                
2025-11-04 09:25:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 21 done, running 19 = ∑19/20, new result: VAL_ACC: 52.950000, RUNTIME: 240.965000
2025-11-04 09:26:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 22 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                
2025-11-04 09:26:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 22 done, running 18 = ∑18/20, waiting for 18 jobs                                
2025-11-04 09:26:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 22 done, running 18 = ∑18/20, new result: VAL_ACC: 55.180000, RUNTIME: 240.472000
2025-11-04 09:26:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 22 done, running 18 = ∑18/20, new result: VAL_ACC: 55.100000, RUNTIME: 240.977000
2025-11-04 09:26:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 24 done, running 16 = ∑16/20, waiting for 18 jobs, finished 2 jobs               
2025-11-04 09:26:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 24 done, running 16 = ∑16/20, waiting for 16 jobs                                
2025-11-04 09:26:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 24 done, running 16 = ∑16/20, new result: VAL_ACC: 50.440000, RUNTIME: 244.792000
2025-11-04 09:26:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 25 done, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job                
2025-11-04 09:26:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 25 done, running 15 = ∑15/20, waiting for 15 jobs                                
2025-11-04 09:26:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 25 done, running 15 = ∑15/20, new result: VAL_ACC: 53.500000, RUNTIME: 241.625000
2025-11-04 09:26:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 26 done, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job                
2025-11-04 09:26:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 26 done, running 14 = ∑14/20, waiting for 14 jobs                                
2025-11-04 09:26:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 26 done, running 14 = ∑14/20, new result: VAL_ACC: 55.890000, RUNTIME: 247.393000
2025-11-04 09:26:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 26 done, running 14 = ∑14/20, new result: VAL_ACC: 55.580000, RUNTIME: 245.074000
2025-11-04 09:26:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 26 done, running 14 = ∑14/20, new result: VAL_ACC: 53.970000, RUNTIME: 249.904000
2025-11-04 09:26:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 26 done, running 14 = ∑14/20, new result: VAL_ACC: 53.870000, RUNTIME: 241.297000
2025-11-04 09:26:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 26 done, running 14 = ∑14/20, new result: VAL_ACC: 54.260000, RUNTIME: 249.799000
2025-11-04 09:26:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 26 done, running 14 = ∑14/20, new result: VAL_ACC: 54.490000, RUNTIME: 247.700000
2025-11-04 09:27:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 32 done, running 8 = ∑8/20, waiting for 14 jobs, finished 6 jobs                 
2025-11-04 09:27:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 32 done, running 8 = ∑8/20, waiting for 8 jobs                                   
2025-11-04 09:27:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 32 done, running 8 = ∑8/20, new result: VAL_ACC: 54.870000, RUNTIME: 247.030000  
2025-11-04 09:27:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 32 done, running 8 = ∑8/20, new result: VAL_ACC: 54.500000, RUNTIME: 239.377000  
2025-11-04 09:27:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 32 done, running 8 = ∑8/20, new result: VAL_ACC: 55.290000, RUNTIME: 248.617000  
2025-11-04 09:27:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 32 done, running 8 = ∑8/20, new result: VAL_ACC: 55.700000, RUNTIME: 234.139000  
2025-11-04 09:27:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 36 done, running 4 = ∑4/20, waiting for 8 jobs, finished 4 jobs                  
2025-11-04 09:27:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 36 done, running 4 = ∑4/20, waiting for 4 jobs                                   
2025-11-04 09:27:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 36 done, running 4 = ∑4/20, new result: VAL_ACC: 56.040000, RUNTIME: 245.084000  
2025-11-04 09:27:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 37 done, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job                   
2025-11-04 09:27:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 37 done, running 3 = ∑3/20, waiting for 3 jobs                                   
2025-11-04 09:27:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 37 done, running 3 = ∑3/20, new result: VAL_ACC: 55.050000, RUNTIME: 243.813000  
2025-11-04 09:27:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 37 done, running 3 = ∑3/20, new result: VAL_ACC: 55.090000, RUNTIME: 248.765000  
2025-11-04 09:27:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 37 done, running 3 = ∑3/20, new result: VAL_ACC: 52.680000, RUNTIME: 247.682000  
2025-11-04 09:27:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, waiting for 3 jobs, finished 3 jobs                                     
2025-11-04 09:31:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #1/20                                                
2025-11-04 09:31:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #2/20                                                
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #3/20                                                
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #4/20                                                
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #5/20                                                
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #6/20                                                
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #7/20                                                
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #8/20                                                
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #9/20                                                
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #10/20                                               
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #11/20                                               
2025-11-04 09:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #12/20                                               
2025-11-04 09:31:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #13/20                                               
2025-11-04 09:31:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #14/20                                               
2025-11-04 09:31:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #15/20                                               
2025-11-04 09:31:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #16/20                                               
2025-11-04 09:31:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #17/20                                               
2025-11-04 09:31:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #18/20                                               
2025-11-04 09:31:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #19/20                                               
2025-11-04 09:31:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, getting new HP set #20/20                                               
2025-11-04 09:31:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, requested 20 jobs, got 20, 10.03 s/job                                  
2025-11-04 09:31:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #1/20 start                                                        
2025-11-04 09:31:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #2/20 start                                                        
2025-11-04 09:31:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #3/20 start                                                        
2025-11-04 09:31:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #4/20 start                                                        
2025-11-04 09:31:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #5/20 start                                                        
2025-11-04 09:31:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #6/20 start                                                        
2025-11-04 09:31:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #7/20 start                                                        
2025-11-04 09:31:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #8/20 start                                                        
2025-11-04 09:31:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #9/20 start                                                        
2025-11-04 09:31:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #10/20 start                                                       
2025-11-04 09:31:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #11/20 start                                                       
2025-11-04 09:31:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #12/20 start                                                       
2025-11-04 09:31:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #13/20 start                                                       
2025-11-04 09:31:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #14/20 start                                                       
2025-11-04 09:31:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #15/20 start                                                       
2025-11-04 09:31:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #16/20 start                                                       
2025-11-04 09:31:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #17/20 start                                                       
2025-11-04 09:31:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #18/20 start                                                       
2025-11-04 09:31:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #19/20 start                                                       
2025-11-04 09:31:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, eval #20/20 start                                                       
2025-11-04 09:31:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, starting new job                                                        
2025-11-04 09:31:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, unknown 1 = ∑1/20, started new job                                      
2025-11-04 09:31:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, unknown 1 = ∑1/20, starting new job                                     
2025-11-04 09:32:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 1/1 = ∑2/20, started new job                            
2025-11-04 09:32:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 1/1 = ∑2/20, starting new job                           
2025-11-04 09:32:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending/unknown 1/1/1 = ∑3/20, started new job                  
2025-11-04 09:32:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending/unknown 1/1/1 = ∑3/20, starting new job                 
2025-11-04 09:32:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 3/1 = ∑4/20, started new job                            
2025-11-04 09:32:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 3/1 = ∑4/20, starting new job                           
2025-11-04 09:32:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending/unknown 3/1/1 = ∑5/20, started new job                  
2025-11-04 09:32:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 5/1 = ∑6/20, started new job                            
2025-11-04 09:32:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending/unknown 5/1/1 = ∑7/20, started new job                  
2025-11-04 09:32:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending 7/1 = ∑8/20, started new job                            
2025-11-04 09:33:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 8/1 = ∑9/20, started new job                            
2025-11-04 09:33:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 8/2 = ∑10/20, started new job                           
2025-11-04 09:33:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 10/1 = ∑11/20, started new job                          
2025-11-04 09:33:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 10/2 = ∑12/20, started new job                          
2025-11-04 09:33:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending/unknown 10/2/1 = ∑13/20, started new job                
2025-11-04 09:33:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending/unknown 10/2/2 = ∑14/20, started new job                
2025-11-04 09:33:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending/unknown 10/4/2 = ∑16/20, started new job                
2025-11-04 09:33:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/unknown 16/3 = ∑19/20, started new job                          
2025-11-04 09:33:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending/unknown 16/3/1 = ∑20/20, started new job                
2025-11-04 09:33:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending/unknown 16/3/1 = ∑20/20, waiting for 20 jobs            
2025-11-04 09:33:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running/pending 16/4 = ∑20/20, waiting for 20 jobs                      
2025-11-04 09:33:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running 20 = ∑20/20, waiting for 20 jobs                                
2025-11-04 09:35:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 40 done, running 20 = ∑20/20, new result: VAL_ACC: 1.000000, RUNTIME: 219.448000 
2025-11-04 09:35:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 41 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                
2025-11-04 09:35:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 41 done, running 19 = ∑19/20, waiting for 19 jobs                                
2025-11-04 09:36:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 41 done, running 19 = ∑19/20, new result: VAL_ACC: 45.110000, RUNTIME: 218.048000
2025-11-04 09:36:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 42 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                
2025-11-04 09:36:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 42 done, running 18 = ∑18/20, waiting for 18 jobs                                
2025-11-04 09:36:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 42 done, running 18 = ∑18/20, new result: VAL_ACC: 1.000000, RUNTIME: 224.269000 
2025-11-04 09:36:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 43 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job                
2025-11-04 09:36:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 43 done, running 17 = ∑17/20, waiting for 17 jobs                                
2025-11-04 09:36:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 43 done, running 17 = ∑17/20, new result: VAL_ACC: 1.000000, RUNTIME: 223.569000 
2025-11-04 09:36:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 43 done, running 17 = ∑17/20, new result: VAL_ACC: 1.000000, RUNTIME: 223.382000 
2025-11-04 09:36:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 45 done, running 15 = ∑15/20, waiting for 17 jobs, finished 2 jobs               
2025-11-04 09:36:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 45 done, running 15 = ∑15/20, waiting for 15 jobs                                
2025-11-04 09:36:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 45 done, running 15 = ∑15/20, new result: VAL_ACC: 1.000000, RUNTIME: 222.180000 
2025-11-04 09:36:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 46 done, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job                
2025-11-04 09:36:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 46 done, running 14 = ∑14/20, waiting for 14 jobs                                
2025-11-04 09:36:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 46 done, running 14 = ∑14/20, new result: VAL_ACC: 1.000000, RUNTIME: 224.308000 
2025-11-04 09:36:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 47 done, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job                
2025-11-04 09:36:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 47 done, running 13 = ∑13/20, waiting for 13 jobs                                
2025-11-04 09:37:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 47 done, running 13 = ∑13/20, new result: VAL_ACC: 1.000000, RUNTIME: 231.381000 
2025-11-04 09:37:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 47 done, running 13 = ∑13/20, new result: VAL_ACC: 1.000000, RUNTIME: 230.657000 
2025-11-04 09:37:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 49 done, running 11 = ∑11/20, waiting for 13 jobs, finished 2 jobs               
2025-11-04 09:37:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 49 done, running 11 = ∑11/20, waiting for 11 jobs                                
2025-11-04 09:37:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 49 done, running 11 = ∑11/20, new result: VAL_ACC: 32.940000, RUNTIME: 220.402000
2025-11-04 09:37:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 49 done, running 11 = ∑11/20, new result: VAL_ACC: 1.000000, RUNTIME: 220.083000 
2025-11-04 09:37:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 51 done, running 9 = ∑9/20, waiting for 11 jobs, finished 2 jobs                 
2025-11-04 09:37:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 51 done, running 9 = ∑9/20, waiting for 9 jobs                                   
2025-11-04 09:37:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 51 done, running 9 = ∑9/20, new result: VAL_ACC: 39.380000, RUNTIME: 237.197000  
2025-11-04 09:37:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 51 done, running 9 = ∑9/20, new result: VAL_ACC: 1.000000, RUNTIME: 231.956000   
2025-11-04 09:37:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 51 done, running 9 = ∑9/20, new result: VAL_ACC: 1.000000, RUNTIME: 235.409000   
2025-11-04 09:37:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 54 done, running 6 = ∑6/20, waiting for 9 jobs, finished 3 jobs                  
2025-11-04 09:37:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 54 done, running 6 = ∑6/20, waiting for 6 jobs                                   
2025-11-04 09:37:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 54 done, running 6 = ∑6/20, new result: VAL_ACC: 1.000000, RUNTIME: 225.932000   
2025-11-04 09:37:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 55 done, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job                   
2025-11-04 09:37:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 55 done, running 5 = ∑5/20, waiting for 5 jobs                                   
2025-11-04 09:37:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 55 done, running 5 = ∑5/20, new result: VAL_ACC: 1.000000, RUNTIME: 230.246000   
2025-11-04 09:37:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 55 done, running 5 = ∑5/20, new result: VAL_ACC: 51.940000, RUNTIME: 236.257000  
2025-11-04 09:37:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 55 done, running 5 = ∑5/20, new result: VAL_ACC: 1.000000, RUNTIME: 232.282000   
2025-11-04 09:38:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 58 done, running 2 = ∑2/20, waiting for 5 jobs, finished 3 jobs                  
2025-11-04 09:38:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 58 done, running 2 = ∑2/20, waiting for 2 jobs                                   
2025-11-04 09:38:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 58 done, running 2 = ∑2/20, new result: VAL_ACC: 45.650000, RUNTIME: 274.352000  
2025-11-04 09:38:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 59 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job                   
2025-11-04 09:38:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 59 done, running 1 = ∑1/20, waiting for 1 job                                    
2025-11-04 09:38:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 59 done, running 1 = ∑1/20, new result: VAL_ACC: 51.180000, RUNTIME: 314.208000  
2025-11-04 09:38:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, waiting for 1 job, finished 1 job                                       
2025-11-04 09:41:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #1/20                                                
2025-11-04 09:41:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #2/20                                                
2025-11-04 09:41:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #3/20                                                
2025-11-04 09:41:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #4/20                                                
2025-11-04 09:41:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #5/20                                                
2025-11-04 09:41:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #6/20                                                
2025-11-04 09:41:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #7/20                                                
2025-11-04 09:41:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #8/20                                                
2025-11-04 09:41:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #9/20                                                
2025-11-04 09:41:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #10/20                                               
2025-11-04 09:41:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #11/20                                               
2025-11-04 09:41:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #12/20                                               
2025-11-04 09:41:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #13/20                                               
2025-11-04 09:41:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #14/20                                               
2025-11-04 09:41:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #15/20                                               
2025-11-04 09:41:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #16/20                                               
2025-11-04 09:41:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #17/20                                               
2025-11-04 09:41:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #18/20                                               
2025-11-04 09:41:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #19/20                                               
2025-11-04 09:41:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, getting new HP set #20/20                                               
2025-11-04 09:41:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, requested 20 jobs, got 20, 8.14 s/job                                   
2025-11-04 09:41:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #1/20 start                                                        
2025-11-04 09:41:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #2/20 start                                                        
2025-11-04 09:41:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #3/20 start                                                        
2025-11-04 09:41:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #4/20 start                                                        
2025-11-04 09:41:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #5/20 start                                                        
2025-11-04 09:41:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #6/20 start                                                        
2025-11-04 09:41:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #7/20 start                                                        
2025-11-04 09:41:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #8/20 start                                                        
2025-11-04 09:41:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #9/20 start                                                        
2025-11-04 09:41:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #10/20 start                                                       
2025-11-04 09:41:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #11/20 start                                                       
2025-11-04 09:41:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #12/20 start                                                       
2025-11-04 09:41:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #13/20 start                                                       
2025-11-04 09:41:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #14/20 start                                                       
2025-11-04 09:41:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #15/20 start                                                       
2025-11-04 09:41:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #16/20 start                                                       
2025-11-04 09:41:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #17/20 start                                                       
2025-11-04 09:41:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #18/20 start                                                       
2025-11-04 09:41:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #19/20 start                                                       
2025-11-04 09:41:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, eval #20/20 start                                                       
2025-11-04 09:41:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, starting new job                                                        
2025-11-04 09:41:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, unknown 2 = ∑2/20, started new job                                      
2025-11-04 09:41:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, unknown 2 = ∑2/20, starting new job                                     
2025-11-04 09:41:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/unknown 2/1 = ∑3/20, started new job                            
2025-11-04 09:41:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/unknown 2/1 = ∑3/20, starting new job                           
2025-11-04 09:41:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending/unknown 2/1/1 = ∑4/20, started new job                  
2025-11-04 09:41:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending/unknown 2/1/1 = ∑4/20, starting new job                 
2025-11-04 09:41:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending/unknown 2/2/3 = ∑7/20, started new job                  
2025-11-04 09:41:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/unknown 7/1 = ∑8/20, started new job                            
2025-11-04 09:41:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending/unknown 7/1/1 = ∑9/20, started new job                  
2025-11-04 09:41:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending/unknown 7/2/1 = ∑10/20, started new job                 
2025-11-04 09:42:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/unknown 10/1 = ∑11/20, started new job                          
2025-11-04 09:42:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/unknown 11/1 = ∑12/20, started new job                          
2025-11-04 09:42:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending/unknown 11/1/1 = ∑13/20, started new job                
2025-11-04 09:42:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending/unknown 11/2/3 = ∑16/20, started new job                
2025-11-04 09:42:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/unknown 16/1 = ∑17/20, started new job                          
2025-11-04 09:42:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/unknown 17/1 = ∑18/20, started new job                          
2025-11-04 09:42:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/unknown 18/1 = ∑19/20, started new job                          
2025-11-04 09:42:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending/unknown 18/1/1 = ∑20/20, started new job                
2025-11-04 09:42:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending/unknown 18/1/1 = ∑20/20, waiting for 20 jobs            
2025-11-04 09:42:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running/pending 18/2 = ∑20/20, waiting for 20 jobs                      
2025-11-04 09:43:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running 20 = ∑20/20, waiting for 20 jobs                                
2025-11-04 09:45:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 60 done, running 20 = ∑20/20, new result: VAL_ACC: 51.400000, RUNTIME: 213.294000
2025-11-04 09:45:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 61 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                
2025-11-04 09:45:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 61 done, running 19 = ∑19/20, waiting for 19 jobs                                
2025-11-04 09:45:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 61 done, running 19 = ∑19/20, new result: VAL_ACC: 42.750000, RUNTIME: 221.518000
2025-11-04 09:45:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 62 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                
2025-11-04 09:45:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 62 done, running 18 = ∑18/20, waiting for 18 jobs                                
2025-11-04 09:45:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 62 done, running 18 = ∑18/20, new result: VAL_ACC: 51.620000, RUNTIME: 213.776000
2025-11-04 09:45:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 63 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job                
2025-11-04 09:45:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 63 done, running 17 = ∑17/20, waiting for 17 jobs                                
2025-11-04 09:45:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 63 done, running 17 = ∑17/20, new result: VAL_ACC: 33.660000, RUNTIME: 216.226000
2025-11-04 09:45:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 63 done, running 17 = ∑17/20, new result: VAL_ACC: 50.230000, RUNTIME: 218.781000
2025-11-04 09:45:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 63 done, running 17 = ∑17/20, new result: VAL_ACC: 52.180000, RUNTIME: 216.456000
2025-11-04 09:45:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 63 done, running 17 = ∑17/20, new result: VAL_ACC: 52.060000, RUNTIME: 220.517000
2025-11-04 09:46:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 67 done, running 13 = ∑13/20, waiting for 17 jobs, finished 4 jobs               
2025-11-04 09:46:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 67 done, running 13 = ∑13/20, waiting for 13 jobs                                
2025-11-04 09:46:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 67 done, running 13 = ∑13/20, new result: VAL_ACC: 51.410000, RUNTIME: 225.429000
2025-11-04 09:46:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 67 done, running 13 = ∑13/20, new result: VAL_ACC: 51.050000, RUNTIME: 223.322000
2025-11-04 09:46:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 69 done, running 11 = ∑11/20, waiting for 13 jobs, finished 2 jobs               
2025-11-04 09:46:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 69 done, running 11 = ∑11/20, waiting for 11 jobs                                
2025-11-04 09:46:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 69 done, running 11 = ∑11/20, new result: VAL_ACC: 51.110000, RUNTIME: 214.164000
2025-11-04 09:46:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 69 done, running 11 = ∑11/20, new result: VAL_ACC: 51.520000, RUNTIME: 228.385000
2025-11-04 09:46:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 69 done, running 11 = ∑11/20, new result: VAL_ACC: 51.000000, RUNTIME: 227.296000
2025-11-04 09:46:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 72 done, running 8 = ∑8/20, waiting for 11 jobs, finished 3 jobs                 
2025-11-04 09:46:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 72 done, running 8 = ∑8/20, waiting for 8 jobs                                   
2025-11-04 09:46:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 72 done, running 8 = ∑8/20, new result: VAL_ACC: 45.290000, RUNTIME: 216.134000  
2025-11-04 09:46:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 73 done, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job                   
2025-11-04 09:46:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 73 done, running 7 = ∑7/20, waiting for 7 jobs                                   
2025-11-04 09:46:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 73 done, running 7 = ∑7/20, new result: VAL_ACC: 51.530000, RUNTIME: 227.634000  
2025-11-04 09:46:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 73 done, running 7 = ∑7/20, new result: VAL_ACC: 45.910000, RUNTIME: 223.546000  
2025-11-04 09:46:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 73 done, running 7 = ∑7/20, new result: VAL_ACC: 50.340000, RUNTIME: 225.033000  
2025-11-04 09:46:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 73 done, running 7 = ∑7/20, new result: VAL_ACC: 50.990000, RUNTIME: 224.901000  
2025-11-04 09:47:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 77 done, running 3 = ∑3/20, waiting for 7 jobs, finished 4 jobs                  
2025-11-04 09:47:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 77 done, running 3 = ∑3/20, waiting for 3 jobs                                   
2025-11-04 09:47:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 77 done, running 3 = ∑3/20, new result: VAL_ACC: 51.820000, RUNTIME: 222.903000  
2025-11-04 09:47:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 77 done, running 3 = ∑3/20, new result: VAL_ACC: 51.170000, RUNTIME: 223.581000  
2025-11-04 09:47:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 77 done, running 3 = ∑3/20, new result: VAL_ACC: 51.500000, RUNTIME: 226.850000  
2025-11-04 09:47:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, waiting for 3 jobs, finished 3 jobs                                     
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #1/20                                                
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #2/20                                                
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #3/20                                                
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #4/20                                                
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #5/20                                                
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #6/20                                                
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #7/20                                                
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #8/20                                                
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #9/20                                                
2025-11-04 09:50:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #10/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #11/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #12/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #13/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #14/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #15/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #16/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #17/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #18/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #19/20                                               
2025-11-04 09:50:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, getting new HP set #20/20                                               
2025-11-04 09:50:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, requested 20 jobs, got 20, 10.37 s/job                                  
2025-11-04 09:50:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #1/20 start                                                        
2025-11-04 09:50:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #2/20 start                                                        
2025-11-04 09:50:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #3/20 start                                                        
2025-11-04 09:50:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #4/20 start                                                        
2025-11-04 09:50:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #5/20 start                                                        
2025-11-04 09:50:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #6/20 start                                                        
2025-11-04 09:50:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #7/20 start                                                        
2025-11-04 09:50:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #8/20 start                                                        
2025-11-04 09:50:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #9/20 start                                                        
2025-11-04 09:50:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #10/20 start                                                       
2025-11-04 09:50:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #11/20 start                                                       
2025-11-04 09:50:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #12/20 start                                                       
2025-11-04 09:50:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #13/20 start                                                       
2025-11-04 09:50:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #14/20 start                                                       
2025-11-04 09:50:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #15/20 start                                                       
2025-11-04 09:50:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #16/20 start                                                       
2025-11-04 09:50:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #17/20 start                                                       
2025-11-04 09:51:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #18/20 start                                                       
2025-11-04 09:51:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #19/20 start                                                       
2025-11-04 09:51:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, eval #20/20 start                                                       
2025-11-04 09:51:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, starting new job                                                        
2025-11-04 09:51:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, unknown 1 = ∑1/20, started new job                                      
2025-11-04 09:51:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, unknown 1 = ∑1/20, starting new job                                     
2025-11-04 09:51:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/unknown 1/2 = ∑3/20, started new job                            
2025-11-04 09:51:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/unknown 1/2 = ∑3/20, starting new job                           
2025-11-04 09:51:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 1/2/2 = ∑5/20, started new job                  
2025-11-04 09:51:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 1/2/2 = ∑5/20, starting new job                 
2025-11-04 09:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 1/4/1 = ∑6/20, started new job                  
2025-11-04 09:51:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 1/4/2 = ∑7/20, started new job                  
2025-11-04 09:51:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/unknown 7/1 = ∑8/20, started new job                            
2025-11-04 09:51:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/unknown 8/1 = ∑9/20, started new job                            
2025-11-04 09:51:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 8/1/1 = ∑10/20, started new job                 
2025-11-04 09:51:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 8/2/1 = ∑11/20, started new job                 
2025-11-04 09:51:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 8/3/2 = ∑13/20, started new job                 
2025-11-04 09:51:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 8/3/3 = ∑14/20, started new job                 
2025-11-04 09:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/unknown 14/1 = ∑15/20, started new job                          
2025-11-04 09:52:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 14/1/1 = ∑16/20, started new job                
2025-11-04 09:52:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending/unknown 14/2/2 = ∑18/20, started new job                
2025-11-04 09:52:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/unknown 18/2 = ∑20/20, started new job                          
2025-11-04 09:52:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/unknown 18/2 = ∑20/20, waiting for 20 jobs                      
2025-11-04 09:52:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running/pending 18/2 = ∑20/20, waiting for 20 jobs                      
2025-11-04 09:52:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running 20 = ∑20/20, waiting for 20 jobs                                
2025-11-04 09:55:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 80 done, running 20 = ∑20/20, new result: VAL_ACC: 53.330000, RUNTIME: 225.354000
2025-11-04 09:55:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 81 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                
2025-11-04 09:55:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 81 done, running 19 = ∑19/20, waiting for 19 jobs                                
2025-11-04 09:55:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 81 done, running 19 = ∑19/20, new result: VAL_ACC: 50.840000, RUNTIME: 216.573000
2025-11-04 09:55:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 81 done, running 19 = ∑19/20, new result: VAL_ACC: 52.990000, RUNTIME: 217.385000
2025-11-04 09:55:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 81 done, running 19 = ∑19/20, new result: VAL_ACC: 54.480000, RUNTIME: 215.108000
2025-11-04 09:55:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 81 done, running 19 = ∑19/20, new result: VAL_ACC: 53.380000, RUNTIME: 218.890000
2025-11-04 09:55:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 85 done, running 15 = ∑15/20, waiting for 19 jobs, finished 4 jobs               
2025-11-04 09:55:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 85 done, running 15 = ∑15/20, waiting for 15 jobs                                
2025-11-04 09:55:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 51.360000, RUNTIME: 218.988000
2025-11-04 09:55:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 53.310000, RUNTIME: 224.605000
2025-11-04 09:55:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 52.600000, RUNTIME: 224.761000
2025-11-04 09:55:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 53.580000, RUNTIME: 215.192000
2025-11-04 09:55:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 51.100000, RUNTIME: 217.431000
2025-11-04 09:55:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 52.800000, RUNTIME: 218.911000
2025-11-04 09:55:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 52.030000, RUNTIME: 216.548000
2025-11-04 09:56:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, waiting for 15 jobs, finished 7 jobs                 
2025-11-04 09:56:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, waiting for 8 jobs                                   
2025-11-04 09:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, new result: VAL_ACC: 54.340000, RUNTIME: 234.966000  
2025-11-04 09:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, new result: VAL_ACC: 53.010000, RUNTIME: 227.612000  
2025-11-04 09:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, new result: VAL_ACC: 38.210000, RUNTIME: 233.269000  
2025-11-04 09:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, new result: VAL_ACC: 53.360000, RUNTIME: 230.670000  
2025-11-04 09:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, new result: VAL_ACC: 53.580000, RUNTIME: 227.414000  
2025-11-04 09:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, new result: VAL_ACC: 50.100000, RUNTIME: 229.690000  
2025-11-04 09:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, new result: VAL_ACC: 52.450000, RUNTIME: 226.696000  
2025-11-04 09:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 92 done, running 8 = ∑8/20, new result: VAL_ACC: 51.860000, RUNTIME: 225.063000  
2025-11-04 09:59:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, waiting for 8 jobs, finished 8 jobs                                    
2025-11-04 10:03:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #1/20                                               
2025-11-04 10:03:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #2/20                                               
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #3/20                                               
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #4/20                                               
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #5/20                                               
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #6/20                                               
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #7/20                                               
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #8/20                                               
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #9/20                                               
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #10/20                                              
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #11/20                                              
2025-11-04 10:03:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #12/20                                              
2025-11-04 10:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #13/20                                              
2025-11-04 10:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #14/20                                              
2025-11-04 10:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #15/20                                              
2025-11-04 10:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #16/20                                              
2025-11-04 10:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #17/20                                              
2025-11-04 10:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #18/20                                              
2025-11-04 10:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #19/20                                              
2025-11-04 10:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, getting new HP set #20/20                                              
2025-11-04 10:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, requested 20 jobs, got 20, 11.20 s/job                                 
2025-11-04 10:03:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #1/20 start                                                       
2025-11-04 10:03:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #2/20 start                                                       
2025-11-04 10:03:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #3/20 start                                                       
2025-11-04 10:03:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #4/20 start                                                       
2025-11-04 10:03:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #5/20 start                                                       
2025-11-04 10:03:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #6/20 start                                                       
2025-11-04 10:03:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #7/20 start                                                       
2025-11-04 10:03:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #8/20 start                                                       
2025-11-04 10:03:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #9/20 start                                                       
2025-11-04 10:03:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #10/20 start                                                      
2025-11-04 10:03:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #11/20 start                                                      
2025-11-04 10:03:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #12/20 start                                                      
2025-11-04 10:03:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #13/20 start                                                      
2025-11-04 10:03:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #14/20 start                                                      
2025-11-04 10:03:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #15/20 start                                                      
2025-11-04 10:03:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #16/20 start                                                      
2025-11-04 10:03:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #17/20 start                                                      
2025-11-04 10:03:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #18/20 start                                                      
2025-11-04 10:03:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #19/20 start                                                      
2025-11-04 10:03:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, eval #20/20 start                                                      
2025-11-04 10:03:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, starting new job                                                       
2025-11-04 10:03:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, pending 1 = ∑1/20, starting new job                                    
2025-11-04 10:03:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, pending 2 = ∑2/20, started new job                                     
2025-11-04 10:03:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, pending/unknown 2/1 = ∑3/20, started new job                           
2025-11-04 10:03:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, pending/unknown 2/1 = ∑3/20, starting new job                          
2025-11-04 10:03:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/unknown 3/2 = ∑5/20, started new job                           
2025-11-04 10:03:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/unknown 3/2 = ∑5/20, starting new job                          
2025-11-04 10:03:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending/unknown 3/2/1 = ∑6/20, started new job                 
2025-11-04 10:03:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending/unknown 3/3/1 = ∑7/20, started new job                 
2025-11-04 10:04:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/unknown 7/1 = ∑8/20, started new job                           
2025-11-04 10:04:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending/unknown 7/1/1 = ∑9/20, started new job                 
2025-11-04 10:04:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending/unknown 7/1/2 = ∑10/20, started new job                
2025-11-04 10:04:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending/unknown 7/3/1 = ∑11/20, started new job                
2025-11-04 10:04:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending 7/6 = ∑13/20, started new job                          
2025-11-04 10:04:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending 13/1 = ∑14/20, started new job                         
2025-11-04 10:04:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending/unknown 13/1/1 = ∑15/20, started new job               
2025-11-04 10:04:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/unknown 15/1 = ∑16/20, started new job                         
2025-11-04 10:04:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/unknown 16/2 = ∑18/20, started new job                         
2025-11-04 10:04:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending/unknown 16/2/1 = ∑19/20, started new job               
2025-11-04 10:04:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending 16/4 = ∑20/20, started new job                         
2025-11-04 10:04:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running/pending 16/4 = ∑20/20, waiting for 20 jobs                     
2025-11-04 10:05:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running 20 = ∑20/20, waiting for 20 jobs                               
2025-11-04 10:07:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running 20 = ∑20/20, new result: VAL_ACC: 21.610000, RUNTIME: 230.369000
2025-11-04 10:07:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 100 done, running 20 = ∑20/20, new result: VAL_ACC: 20.430000, RUNTIME: 228.163000
2025-11-04 10:07:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 102 done, running 18 = ∑18/20, waiting for 20 jobs, finished 2 jobs               
2025-11-04 10:07:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 102 done, running 18 = ∑18/20, waiting for 18 jobs                                
2025-11-04 10:08:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 102 done, running 18 = ∑18/20, new result: VAL_ACC: 22.220000, RUNTIME: 248.457000
2025-11-04 10:08:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 103 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job                
2025-11-04 10:08:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 103 done, running 17 = ∑17/20, waiting for 17 jobs                                
2025-11-04 10:08:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 103 done, running 17 = ∑17/20, new result: VAL_ACC: 22.220000, RUNTIME: 227.498000
2025-11-04 10:08:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 104 done, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job                
2025-11-04 10:08:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 104 done, running 16 = ∑16/20, waiting for 16 jobs                                
2025-11-04 10:08:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 104 done, running 16 = ∑16/20, new result: VAL_ACC: 21.000000, RUNTIME: 244.979000
2025-11-04 10:08:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 104 done, running 16 = ∑16/20, new result: VAL_ACC: 21.960000, RUNTIME: 244.685000
2025-11-04 10:08:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 104 done, running 16 = ∑16/20, new result: VAL_ACC: 50.850000, RUNTIME: 250.282000
2025-11-04 10:08:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, waiting for 16 jobs, finished 3 jobs               
2025-11-04 10:08:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, waiting for 13 jobs                                
2025-11-04 10:08:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, new result: VAL_ACC: 20.360000, RUNTIME: 239.137000
2025-11-04 10:08:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, new result: VAL_ACC: 21.590000, RUNTIME: 246.811000
2025-11-04 10:08:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, new result: VAL_ACC: 22.600000, RUNTIME: 258.157000
2025-11-04 10:08:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, new result: VAL_ACC: 21.850000, RUNTIME: 237.860000
2025-11-04 10:08:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, new result: VAL_ACC: 46.660000, RUNTIME: 249.961000
2025-11-04 10:08:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, new result: VAL_ACC: 22.170000, RUNTIME: 239.068000
2025-11-04 10:08:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, new result: VAL_ACC: 22.950000, RUNTIME: 243.539000
2025-11-04 10:08:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 107 done, running 13 = ∑13/20, new result: VAL_ACC: 20.690000, RUNTIME: 247.170000
2025-11-04 10:09:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 115 done, completed/running 4/1 = ∑5/20, waiting for 13 jobs, finished 8 jobs     
2025-11-04 10:09:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 115 done, completed/running 4/1 = ∑5/20, waiting for 5 jobs                       
2025-11-04 10:09:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 115 done, completed/running 4/1 = ∑5/20, new result: VAL_ACC: 20.380000, RUNTIME: 240.882000
2025-11-04 10:09:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 115 done, completed/running 4/1 = ∑5/20, new result: VAL_ACC: 51.170000, RUNTIME: 263.054000
2025-11-04 10:09:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 115 done, completed/running 4/1 = ∑5/20, new result: VAL_ACC: 19.830000, RUNTIME: 231.910000
2025-11-04 10:09:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 115 done, completed/running 4/1 = ∑5/20, new result: VAL_ACC: 21.850000, RUNTIME: 240.851000
2025-11-04 10:09:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 115 done, completed/running 4/1 = ∑5/20, new result: VAL_ACC: 20.360000, RUNTIME: 225.096000
2025-11-04 10:10:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, waiting for 5 jobs, finished 5 jobs                                               
2025-11-04 10:15:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #1/20                                                          
2025-11-04 10:15:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #2/20                                                          
2025-11-04 10:15:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #3/20                                                          
2025-11-04 10:15:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #4/20                                                          
2025-11-04 10:15:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #5/20                                                          
2025-11-04 10:15:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #6/20                                                          
2025-11-04 10:15:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #7/20                                                          
2025-11-04 10:16:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #8/20                                                          
2025-11-04 10:16:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #9/20                                                          
2025-11-04 10:16:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #10/20                                                         
2025-11-04 10:16:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #11/20                                                         
2025-11-04 10:16:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #12/20                                                         
2025-11-04 10:16:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #13/20                                                         
2025-11-04 10:16:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #14/20                                                         
2025-11-04 10:16:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #15/20                                                         
2025-11-04 10:16:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #16/20                                                         
2025-11-04 10:16:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #17/20                                                         
2025-11-04 10:16:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #18/20                                                         
2025-11-04 10:16:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #19/20                                                         
2025-11-04 10:16:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, getting new HP set #20/20                                                         
2025-11-04 10:16:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, requested 20 jobs, got 20, 16.50 s/job                                            
2025-11-04 10:16:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #1/20 start                                                                  
2025-11-04 10:16:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #2/20 start                                                                  
2025-11-04 10:16:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #3/20 start                                                                  
2025-11-04 10:16:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #4/20 start                                                                  
2025-11-04 10:16:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #5/20 start                                                                  
2025-11-04 10:16:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #6/20 start                                                                  
2025-11-04 10:16:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #7/20 start                                                                  
2025-11-04 10:16:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #8/20 start                                                                  
2025-11-04 10:16:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #9/20 start                                                                  
2025-11-04 10:16:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #10/20 start                                                                 
2025-11-04 10:16:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #11/20 start                                                                 
2025-11-04 10:16:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #12/20 start                                                                 
2025-11-04 10:16:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #13/20 start                                                                 
2025-11-04 10:16:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #14/20 start                                                                 
2025-11-04 10:16:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #15/20 start                                                                 
2025-11-04 10:16:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #16/20 start                                                                 
2025-11-04 10:16:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #17/20 start                                                                 
2025-11-04 10:16:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #18/20 start                                                                 
2025-11-04 10:16:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #19/20 start                                                                 
2025-11-04 10:16:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, eval #20/20 start                                                                 
2025-11-04 10:16:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, starting new job                                                                  
2025-11-04 10:16:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, unknown 2 = ∑2/20, started new job                                                
2025-11-04 10:16:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, unknown/pending 2/1 = ∑3/20, started new job                                      
2025-11-04 10:16:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, unknown/pending 2/1 = ∑3/20, starting new job                                     
2025-11-04 10:16:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running 2 = ∑2/20, started new job                                                
2025-11-04 10:16:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running 3 = ∑3/20, starting new job                                               
2025-11-04 10:16:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/unknown 3/1 = ∑4/20, started new job                                      
2025-11-04 10:16:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/unknown 3/1 = ∑4/20, starting new job                                     
2025-11-04 10:16:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending/unknown 3/1/2 = ∑6/20, started new job                            
2025-11-04 10:16:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending 6/1 = ∑7/20, started new job                                      
2025-11-04 10:17:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending/unknown 6/1/1 = ∑8/20, started new job                            
2025-11-04 10:17:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/unknown 8/1 = ∑9/20, started new job                                      
2025-11-04 10:17:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending/unknown 8/1/1 = ∑10/20, started new job                           
2025-11-04 10:17:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending/unknown 8/2/1 = ∑11/20, started new job                           
2025-11-04 10:17:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending/unknown 8/2/2 = ∑12/20, started new job                           
2025-11-04 10:17:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending/unknown 8/4/3 = ∑15/20, started new job                           
2025-11-04 10:17:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/unknown 15/1 = ∑16/20, started new job                                    
2025-11-04 10:17:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/unknown 16/1 = ∑17/20, started new job                                    
2025-11-04 10:17:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/unknown 17/1 = ∑18/20, started new job                                    
2025-11-04 10:17:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending/unknown 17/1/2 = ∑20/20, started new job                          
2025-11-04 10:17:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending/unknown 17/1/2 = ∑20/20, waiting for 20 jobs                      
2025-11-04 10:17:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running/pending 17/3 = ∑20/20, waiting for 20 jobs                                
2025-11-04 10:18:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running 20 = ∑20/20, waiting for 20 jobs                                          
2025-11-04 10:19:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 120 done, running 20 = ∑20/20, new result: VAL_ACC: 15.130000, RUNTIME: 198.770000          
2025-11-04 10:20:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 121 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                          
2025-11-04 10:20:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 121 done, running 19 = ∑19/20, waiting for 19 jobs                                          
2025-11-04 10:20:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 121 done, running 19 = ∑19/20, new result: VAL_ACC: 27.580000, RUNTIME: 204.224000          
2025-11-04 10:20:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 121 done, running 19 = ∑19/20, new result: VAL_ACC: 20.610000, RUNTIME: 202.922000          
2025-11-04 10:20:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 123 done, running 17 = ∑17/20, waiting for 19 jobs, finished 2 jobs                         
2025-11-04 10:20:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 123 done, running 17 = ∑17/20, waiting for 17 jobs                                          
2025-11-04 10:20:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 123 done, running 17 = ∑17/20, new result: VAL_ACC: 25.790000, RUNTIME: 203.250000          
2025-11-04 10:20:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 123 done, running 17 = ∑17/20, new result: VAL_ACC: 26.430000, RUNTIME: 206.380000          
2025-11-04 10:20:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 125 done, running 15 = ∑15/20, waiting for 17 jobs, finished 2 jobs                         
2025-11-04 10:20:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 125 done, running 15 = ∑15/20, waiting for 15 jobs                                          
2025-11-04 10:20:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 125 done, running 15 = ∑15/20, new result: VAL_ACC: 21.080000, RUNTIME: 223.318000          
2025-11-04 10:20:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 126 done, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job                          
2025-11-04 10:20:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 126 done, running 14 = ∑14/20, waiting for 14 jobs                                          
2025-11-04 10:20:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 24.490000, RUNTIME: 216.782000          
2025-11-04 10:20:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 19.330000, RUNTIME: 194.995000          
2025-11-04 10:20:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 16.780000, RUNTIME: 201.889000          
2025-11-04 10:21:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, waiting for 14 jobs, finished 3 jobs              
2025-11-04 10:21:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, waiting for 11 jobs                               
2025-11-04 10:21:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 26.610000, RUNTIME: 211.610000
2025-11-04 10:21:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 23.590000, RUNTIME: 207.088000
2025-11-04 10:21:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 22.960000, RUNTIME: 201.067000
2025-11-04 10:21:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 24.520000, RUNTIME: 205.648000
2025-11-04 10:21:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 23.910000, RUNTIME: 216.467000
2025-11-04 10:21:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 21.860000, RUNTIME: 198.638000
2025-11-04 10:21:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 23.460000, RUNTIME: 200.507000
2025-11-04 10:21:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 129 done, completed/running 6/5 = ∑11/20, new result: VAL_ACC: 25.340000, RUNTIME: 201.602000
2025-11-04 10:22:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 137 done, running 3 = ∑3/20, waiting for 11 jobs, finished 8 jobs                            
2025-11-04 10:22:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 137 done, running 3 = ∑3/20, waiting for 3 jobs                                              
2025-11-04 10:22:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 137 done, running 3 = ∑3/20, new result: VAL_ACC: 24.040000, RUNTIME: 208.975000             
2025-11-04 10:22:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 137 done, running 3 = ∑3/20, new result: VAL_ACC: 22.780000, RUNTIME: 207.788000             
2025-11-04 10:22:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 137 done, running 3 = ∑3/20, new result: VAL_ACC: 27.880000, RUNTIME: 211.160000             
2025-11-04 10:23:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, waiting for 3 jobs, finished 3 jobs                                                
2025-11-04 10:30:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #1/20                                                           
2025-11-04 10:30:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #2/20                                                           
2025-11-04 10:30:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #3/20                                                           
2025-11-04 10:30:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #4/20                                                           
2025-11-04 10:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #5/20                                                           
2025-11-04 10:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #6/20                                                           
2025-11-04 10:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #7/20                                                           
2025-11-04 10:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #8/20                                                           
2025-11-04 10:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #9/20                                                           
2025-11-04 10:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #10/20                                                          
2025-11-04 10:30:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #11/20                                                          
2025-11-04 10:30:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #12/20                                                          
2025-11-04 10:30:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #13/20                                                          
2025-11-04 10:30:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #14/20                                                          
2025-11-04 10:30:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #15/20                                                          
2025-11-04 10:30:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #16/20                                                          
2025-11-04 10:30:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #17/20                                                          
2025-11-04 10:30:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #18/20                                                          
2025-11-04 10:30:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #19/20                                                          
2025-11-04 10:30:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, getting new HP set #20/20                                                          
2025-11-04 10:30:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, requested 20 jobs, got 20, 22.67 s/job                                             
2025-11-04 10:30:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #1/20 start                                                                   
2025-11-04 10:30:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #2/20 start                                                                   
2025-11-04 10:30:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #3/20 start                                                                   
2025-11-04 10:30:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #4/20 start                                                                   
2025-11-04 10:30:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #5/20 start                                                                   
2025-11-04 10:30:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #6/20 start                                                                   
2025-11-04 10:30:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #7/20 start                                                                   
2025-11-04 10:30:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #8/20 start                                                                   
2025-11-04 10:30:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #9/20 start                                                                   
2025-11-04 10:30:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #10/20 start                                                                  
2025-11-04 10:30:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #11/20 start                                                                  
2025-11-04 10:30:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #12/20 start                                                                  
2025-11-04 10:30:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #13/20 start                                                                  
2025-11-04 10:30:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #14/20 start                                                                  
2025-11-04 10:30:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #15/20 start                                                                  
2025-11-04 10:30:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #16/20 start                                                                  
2025-11-04 10:30:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #17/20 start                                                                  
2025-11-04 10:30:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #18/20 start                                                                  
2025-11-04 10:30:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #19/20 start                                                                  
2025-11-04 10:30:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, eval #20/20 start                                                                  
2025-11-04 10:30:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, starting new job                                                                   
2025-11-04 10:30:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, unknown 1 = ∑1/20, starting new job                                                
2025-11-04 10:30:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, unknown 3 = ∑3/20, started new job                                                 
2025-11-04 10:30:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, unknown 3 = ∑3/20, starting new job                                                
2025-11-04 10:30:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, pending/unknown 3/1 = ∑4/20, started new job                                       
2025-11-04 10:30:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, pending/unknown 3/1 = ∑4/20, starting new job                                      
2025-11-04 10:31:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, pending/unknown 4/2 = ∑6/20, started new job                                       
2025-11-04 10:31:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/unknown 6/1 = ∑7/20, started new job                                       
2025-11-04 10:31:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/pending/unknown 6/1/2 = ∑9/20, started new job                             
2025-11-04 10:31:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/pending/unknown 6/3/1 = ∑10/20, started new job                            
2025-11-04 10:31:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/pending/unknown 6/4/2 = ∑12/20, started new job                            
2025-11-04 10:31:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/unknown 12/1 = ∑13/20, started new job                                     
2025-11-04 10:31:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/unknown 13/1 = ∑14/20, started new job                                     
2025-11-04 10:31:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/pending/unknown 13/1/1 = ∑15/20, started new job                           
2025-11-04 10:31:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/unknown 15/1 = ∑16/20, started new job                                     
2025-11-04 10:31:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/pending/unknown 15/1/1 = ∑17/20, started new job                           
2025-11-04 10:32:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/pending/unknown 15/2/1 = ∑18/20, started new job                           
2025-11-04 10:32:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/unknown 18/1 = ∑19/20, started new job                                     
2025-11-04 10:32:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/pending/unknown 18/1/1 = ∑20/20, started new job                           
2025-11-04 10:32:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/pending/unknown 18/1/1 = ∑20/20, waiting for 20 jobs                       
2025-11-04 10:32:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running/pending 18/2 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 10:32:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running 20 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 10:34:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running 20 = ∑20/20, new result: VAL_ACC: 43.960000, RUNTIME: 220.634000           
2025-11-04 10:34:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 140 done, running 20 = ∑20/20, new result: VAL_ACC: 44.740000, RUNTIME: 225.061000           
2025-11-04 10:35:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 142 done, running 18 = ∑18/20, waiting for 20 jobs, finished 2 jobs                          
2025-11-04 10:35:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 142 done, running 18 = ∑18/20, waiting for 18 jobs                                           
2025-11-04 10:35:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 142 done, running 18 = ∑18/20, new result: VAL_ACC: 44.180000, RUNTIME: 221.521000           
2025-11-04 10:35:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 142 done, running 18 = ∑18/20, new result: VAL_ACC: 44.460000, RUNTIME: 216.989000           
2025-11-04 10:35:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 142 done, running 18 = ∑18/20, new result: VAL_ACC: 43.050000, RUNTIME: 228.966000           
2025-11-04 10:35:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 142 done, running 18 = ∑18/20, new result: VAL_ACC: 43.780000, RUNTIME: 220.107000           
2025-11-04 10:35:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 142 done, running 18 = ∑18/20, new result: VAL_ACC: 37.380000, RUNTIME: 219.918000           
2025-11-04 10:35:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 142 done, running 18 = ∑18/20, new result: VAL_ACC: 43.470000, RUNTIME: 214.678000           
2025-11-04 10:36:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, waiting for 18 jobs, finished 6 jobs               
2025-11-04 10:36:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, waiting for 12 jobs                                
2025-11-04 10:36:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 43.020000, RUNTIME: 236.102000
2025-11-04 10:36:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 44.040000, RUNTIME: 225.460000
2025-11-04 10:36:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 40.180000, RUNTIME: 224.710000
2025-11-04 10:36:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 43.430000, RUNTIME: 219.279000
2025-11-04 10:36:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 43.450000, RUNTIME: 212.716000
2025-11-04 10:36:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 43.190000, RUNTIME: 218.448000
2025-11-04 10:36:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 42.480000, RUNTIME: 212.797000
2025-11-04 10:36:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 43.380000, RUNTIME: 226.194000
2025-11-04 10:36:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 43.620000, RUNTIME: 220.714000
2025-11-04 10:36:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 40.630000, RUNTIME: 223.001000
2025-11-04 10:36:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 41.140000, RUNTIME: 211.602000
2025-11-04 10:36:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 148 done, completed/running 9/3 = ∑12/20, new result: VAL_ACC: 44.550000, RUNTIME: 218.888000
2025-11-04 10:38:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, waiting for 12 jobs, finished 12 jobs                                              
2025-11-04 10:46:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #1/20                                                           
2025-11-04 10:46:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #2/20                                                           
2025-11-04 10:46:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #3/20                                                           
2025-11-04 10:46:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #4/20                                                           
2025-11-04 10:46:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #5/20                                                           
2025-11-04 10:46:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #6/20                                                           
2025-11-04 10:46:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #7/20                                                           
2025-11-04 10:46:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #8/20                                                           
2025-11-04 10:46:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #9/20                                                           
2025-11-04 10:46:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #10/20                                                          
2025-11-04 10:46:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #11/20                                                          
2025-11-04 10:46:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #12/20                                                          
2025-11-04 10:46:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #13/20                                                          
2025-11-04 10:46:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #14/20                                                          
2025-11-04 10:46:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #15/20                                                          
2025-11-04 10:46:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #16/20                                                          
2025-11-04 10:46:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #17/20                                                          
2025-11-04 10:46:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #18/20                                                          
2025-11-04 10:46:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #19/20                                                          
2025-11-04 10:46:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, getting new HP set #20/20                                                          
2025-11-04 10:46:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, requested 20 jobs, got 20, 25.90 s/job                                             
2025-11-04 10:46:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #1/20 start                                                                   
2025-11-04 10:46:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #2/20 start                                                                   
2025-11-04 10:46:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #3/20 start                                                                   
2025-11-04 10:46:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #4/20 start                                                                   
2025-11-04 10:46:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #5/20 start                                                                   
2025-11-04 10:46:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #6/20 start                                                                   
2025-11-04 10:46:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #7/20 start                                                                   
2025-11-04 10:46:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #8/20 start                                                                   
2025-11-04 10:46:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #9/20 start                                                                   
2025-11-04 10:46:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #10/20 start                                                                  
2025-11-04 10:46:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #11/20 start                                                                  
2025-11-04 10:46:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #12/20 start                                                                  
2025-11-04 10:47:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #13/20 start                                                                  
2025-11-04 10:47:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #14/20 start                                                                  
2025-11-04 10:47:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #15/20 start                                                                  
2025-11-04 10:47:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #16/20 start                                                                  
2025-11-04 10:47:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #17/20 start                                                                  
2025-11-04 10:47:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #18/20 start                                                                  
2025-11-04 10:47:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #19/20 start                                                                  
2025-11-04 10:47:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, eval #20/20 start                                                                  
2025-11-04 10:47:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, starting new job                                                                   
2025-11-04 10:47:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, unknown 2 = ∑2/20, started new job                                                 
2025-11-04 10:47:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, unknown 2 = ∑2/20, starting new job                                                
2025-11-04 10:47:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, unknown 3 = ∑3/20, started new job                                                 
2025-11-04 10:47:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, unknown 3 = ∑3/20, starting new job                                                
2025-11-04 10:47:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, pending/unknown 3/1 = ∑4/20, started new job                                       
2025-11-04 10:47:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, pending/unknown 3/1 = ∑4/20, starting new job                                      
2025-11-04 10:47:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, pending/unknown 4/2 = ∑6/20, started new job                                       
2025-11-04 10:47:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, pending/unknown 6/3 = ∑9/20, started new job                                       
2025-11-04 10:47:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/unknown 9/1 = ∑10/20, started new job                                      
2025-11-04 10:47:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/unknown 10/1 = ∑11/20, started new job                                     
2025-11-04 10:47:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/pending/unknown 10/1/1 = ∑12/20, started new job                           
2025-11-04 10:47:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/pending/unknown 10/2/1 = ∑13/20, started new job                           
2025-11-04 10:47:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/unknown 13/1 = ∑14/20, started new job                                     
2025-11-04 10:47:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/pending/unknown 13/1/1 = ∑15/20, started new job                           
2025-11-04 10:48:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/pending/unknown 13/2/1 = ∑16/20, started new job                           
2025-11-04 10:48:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/unknown 16/1 = ∑17/20, started new job                                     
2025-11-04 10:48:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/unknown 17/1 = ∑18/20, started new job                                     
2025-11-04 10:48:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/pending/unknown 17/1/1 = ∑19/20, started new job                           
2025-11-04 10:48:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/pending/unknown 17/2/1 = ∑20/20, started new job                           
2025-11-04 10:48:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/pending/unknown 17/2/1 = ∑20/20, waiting for 20 jobs                       
2025-11-04 10:48:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running/pending 17/3 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 10:48:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running 20 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 10:51:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 160 done, running 20 = ∑20/20, new result: VAL_ACC: 51.770000, RUNTIME: 216.804000           
2025-11-04 10:51:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 161 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-04 10:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 161 done, running 19 = ∑19/20, waiting for 19 jobs                                           
2025-11-04 10:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 161 done, running 19 = ∑19/20, new result: VAL_ACC: 28.170000, RUNTIME: 214.745000           
2025-11-04 10:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 161 done, running 19 = ∑19/20, new result: VAL_ACC: 52.450000, RUNTIME: 220.573000           
2025-11-04 10:51:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 161 done, running 19 = ∑19/20, new result: VAL_ACC: 50.020000, RUNTIME: 214.785000           
2025-11-04 10:52:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, waiting for 19 jobs, finished 3 jobs                          
2025-11-04 10:52:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, waiting for 16 jobs                                           
2025-11-04 10:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, new result: VAL_ACC: 54.800000, RUNTIME: 249.468000           
2025-11-04 10:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, new result: VAL_ACC: 43.700000, RUNTIME: 231.150000           
2025-11-04 10:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, new result: VAL_ACC: 49.430000, RUNTIME: 244.616000           
2025-11-04 10:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, new result: VAL_ACC: 48.980000, RUNTIME: 226.689000           
2025-11-04 10:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, new result: VAL_ACC: 52.460000, RUNTIME: 237.105000           
2025-11-04 10:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, new result: VAL_ACC: 51.390000, RUNTIME: 230.573000           
2025-11-04 10:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, new result: VAL_ACC: 52.980000, RUNTIME: 247.330000           
2025-11-04 10:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, new result: VAL_ACC: 47.080000, RUNTIME: 226.226000           
2025-11-04 10:52:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 164 done, running 16 = ∑16/20, new result: VAL_ACC: 44.820000, RUNTIME: 227.681000           
2025-11-04 10:53:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 173 done, completed 7 = ∑7/20, waiting for 16 jobs, finished 9 jobs                          
2025-11-04 10:53:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 173 done, completed 7 = ∑7/20, waiting for 7 jobs                                            
2025-11-04 10:53:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 173 done, completed 7 = ∑7/20, new result: VAL_ACC: 51.800000, RUNTIME: 229.270000           
2025-11-04 10:53:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 173 done, completed 7 = ∑7/20, new result: VAL_ACC: 51.630000, RUNTIME: 252.953000           
2025-11-04 10:53:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 177 done, completed 7 = ∑7/20, new result: VAL_ACC: 47.480000, RUNTIME: 230.143000           
2025-11-04 10:53:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 177 done, completed 7 = ∑7/20, new result: VAL_ACC: 46.830000, RUNTIME: 237.558000           
2025-11-04 10:53:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 177 done, completed 7 = ∑7/20, new result: VAL_ACC: 51.110000, RUNTIME: 228.737000           
2025-11-04 10:53:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 177 done, completed 7 = ∑7/20, new result: VAL_ACC: 53.880000, RUNTIME: 244.215000           
2025-11-04 10:53:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 177 done, completed 7 = ∑7/20, new result: VAL_ACC: 51.750000, RUNTIME: 250.518000           
2025-11-04 10:54:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, waiting for 7 jobs, finished 7 jobs                                                
2025-11-04 11:04:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #1/20                                                           
2025-11-04 11:04:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #2/20                                                           
2025-11-04 11:04:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #3/20                                                           
2025-11-04 11:04:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #4/20                                                           
2025-11-04 11:04:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #5/20                                                           
2025-11-04 11:04:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #6/20                                                           
2025-11-04 11:04:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #7/20                                                           
2025-11-04 11:04:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #8/20                                                           
2025-11-04 11:04:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #9/20                                                           
2025-11-04 11:04:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #10/20                                                          
2025-11-04 11:04:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #11/20                                                          
2025-11-04 11:04:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #12/20                                                          
2025-11-04 11:04:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #13/20                                                          
2025-11-04 11:04:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #14/20                                                          
2025-11-04 11:04:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #15/20                                                          
2025-11-04 11:04:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #16/20                                                          
2025-11-04 11:04:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #17/20                                                          
2025-11-04 11:04:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #18/20                                                          
2025-11-04 11:04:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #19/20                                                          
2025-11-04 11:05:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, getting new HP set #20/20                                                          
2025-11-04 11:05:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, requested 20 jobs, got 20, 30.55 s/job                                             
2025-11-04 11:05:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #1/20 start                                                                   
2025-11-04 11:05:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #2/20 start                                                                   
2025-11-04 11:05:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #3/20 start                                                                   
2025-11-04 11:05:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #4/20 start                                                                   
2025-11-04 11:05:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #5/20 start                                                                   
2025-11-04 11:05:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #6/20 start                                                                   
2025-11-04 11:05:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #7/20 start                                                                   
2025-11-04 11:05:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #8/20 start                                                                   
2025-11-04 11:05:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #9/20 start                                                                   
2025-11-04 11:05:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #10/20 start                                                                  
2025-11-04 11:05:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #11/20 start                                                                  
2025-11-04 11:05:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #12/20 start                                                                  
2025-11-04 11:05:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #13/20 start                                                                  
2025-11-04 11:05:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #14/20 start                                                                  
2025-11-04 11:05:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #15/20 start                                                                  
2025-11-04 11:05:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #16/20 start                                                                  
2025-11-04 11:05:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #17/20 start                                                                  
2025-11-04 11:05:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #18/20 start                                                                  
2025-11-04 11:05:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #19/20 start                                                                  
2025-11-04 11:05:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, eval #20/20 start                                                                  
2025-11-04 11:05:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, starting new job                                                                   
2025-11-04 11:05:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, unknown 1 = ∑1/20, started new job                                                 
2025-11-04 11:05:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, unknown 1 = ∑1/20, starting new job                                                
2025-11-04 11:05:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, unknown 2 = ∑2/20, started new job                                                 
2025-11-04 11:05:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, unknown 2 = ∑2/20, starting new job                                                
2025-11-04 11:05:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, pending/unknown 2/2 = ∑4/20, started new job                                       
2025-11-04 11:05:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, pending/unknown 2/2 = ∑4/20, starting new job                                      
2025-11-04 11:05:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, pending/unknown 4/2 = ∑6/20, started new job                                       
2025-11-04 11:05:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, running/pending/unknown 1/5/1 = ∑7/20, started new job                             
2025-11-04 11:05:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, running/pending/unknown 1/6/2 = ∑9/20, started new job                             
2025-11-04 11:05:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, running/pending/unknown 1/8/3 = ∑12/20, started new job                            
2025-11-04 11:05:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, running/pending/unknown 1/11/3 = ∑15/20, started new job                           
2025-11-04 11:05:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, running/pending/unknown 1/14/2 = ∑17/20, started new job                           
2025-11-04 11:06:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, running/pending/unknown 1/16/3 = ∑20/20, started new job                           
2025-11-04 11:06:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, running/pending/unknown 1/16/3 = ∑20/20, waiting for 20 jobs                       
2025-11-04 11:06:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, running/pending 1/19 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 11:10:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 180 done, running/pending 1/19 = ∑20/20, new result: VAL_ACC: 53.370000, RUNTIME: 240.782000 
2025-11-04 11:10:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 181 done, pending 19 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-04 11:10:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 181 done, pending 19 = ∑19/20, waiting for 19 jobs                                           
2025-11-04 11:18:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 181 done, running/pending 11/8 = ∑19/20, waiting for 19 jobs                                 
2025-11-04 11:21:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 181 done, running/pending 11/8 = ∑19/20, new result: VAL_ACC: 53.180000, RUNTIME: 237.596000 
2025-11-04 11:21:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 182 done, running/pending 10/8 = ∑18/20, waiting for 19 jobs, finished 1 job                 
2025-11-04 11:21:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 182 done, running/pending 10/8 = ∑18/20, waiting for 18 jobs                                 
2025-11-04 11:21:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 182 done, running/pending 10/8 = ∑18/20, new result: VAL_ACC: 51.030000, RUNTIME: 245.848000 
2025-11-04 11:21:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 183 done, running/pending 9/8 = ∑17/20, waiting for 18 jobs, finished 1 job                  
2025-11-04 11:21:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 183 done, running/pending 9/8 = ∑17/20, waiting for 17 jobs                                  
2025-11-04 11:21:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 183 done, running/pending 9/8 = ∑17/20, new result: VAL_ACC: 53.300000, RUNTIME: 245.592000  
2025-11-04 11:22:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 184 done, running/pending 8/8 = ∑16/20, waiting for 17 jobs, finished 1 job                  
2025-11-04 11:22:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 184 done, running/pending 8/8 = ∑16/20, waiting for 16 jobs                                  
2025-11-04 11:22:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 184 done, running/pending 8/8 = ∑16/20, new result: VAL_ACC: 53.140000, RUNTIME: 249.050000  
2025-11-04 11:22:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 185 done, running/pending 7/8 = ∑15/20, waiting for 16 jobs, finished 1 job                  
2025-11-04 11:22:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 185 done, running/pending 7/8 = ∑15/20, waiting for 15 jobs                                  
2025-11-04 11:22:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 185 done, running/pending 7/8 = ∑15/20, new result: VAL_ACC: 51.260000, RUNTIME: 245.596000  
2025-11-04 11:22:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 185 done, running/pending 7/8 = ∑15/20, new result: VAL_ACC: 51.930000, RUNTIME: 267.387000  
2025-11-04 11:22:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 187 done, running/pending 5/8 = ∑13/20, waiting for 15 jobs, finished 2 jobs                 
2025-11-04 11:22:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 187 done, running/pending 5/8 = ∑13/20, waiting for 13 jobs                                  
2025-11-04 11:23:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 187 done, running/pending 5/8 = ∑13/20, new result: VAL_ACC: 51.850000, RUNTIME: 253.381000  
2025-11-04 11:23:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 187 done, running/pending 5/8 = ∑13/20, new result: VAL_ACC: 51.050000, RUNTIME: 278.153000  
2025-11-04 11:23:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 187 done, running/pending 5/8 = ∑13/20, new result: VAL_ACC: 53.420000, RUNTIME: 239.938000  
2025-11-04 11:23:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 187 done, running/pending 5/8 = ∑13/20, new result: VAL_ACC: 50.950000, RUNTIME: 231.205000  
2025-11-04 11:23:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 191 done, running/pending 1/8 = ∑9/20, waiting for 13 jobs, finished 4 jobs                  
2025-11-04 11:23:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 191 done, running/pending 1/8 = ∑9/20, waiting for 9 jobs                                    
2025-11-04 11:23:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 191 done, running/pending 1/8 = ∑9/20, new result: VAL_ACC: 51.730000, RUNTIME: 237.586000   
2025-11-04 11:23:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 191 done, running/pending 1/8 = ∑9/20, new result: VAL_ACC: 54.220000, RUNTIME: 234.910000   
2025-11-04 11:23:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 191 done, running/pending 1/8 = ∑9/20, new result: VAL_ACC: 54.730000, RUNTIME: 258.392000   
2025-11-04 11:23:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 191 done, running/pending 1/8 = ∑9/20, new result: VAL_ACC: 52.230000, RUNTIME: 239.425000   
2025-11-04 11:23:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 191 done, running/pending 1/8 = ∑9/20, new result: VAL_ACC: 54.100000, RUNTIME: 233.016000   
2025-11-04 11:23:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 191 done, running/pending 1/8 = ∑9/20, new result: VAL_ACC: 53.710000, RUNTIME: 227.570000   
2025-11-04 11:25:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 197 done, pending 3 = ∑3/20, waiting for 9 jobs, finished 6 jobs                             
2025-11-04 11:25:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 197 done, pending 3 = ∑3/20, waiting for 3 jobs                                              
2025-11-04 11:25:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 197 done, pending 3 = ∑3/20, new result: VAL_ACC: 52.430000, RUNTIME: 242.179000             
2025-11-04 11:25:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending 3 = ∑3/20, new result: VAL_ACC: 53.200000, RUNTIME: 245.682000             
2025-11-04 11:25:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending 3 = ∑3/20, new result: VAL_ACC: 54.690000, RUNTIME: 248.738000             
2025-11-04 11:26:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, waiting for 3 jobs, finished 3 jobs                                                
2025-11-04 11:36:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #1/20                                                           
2025-11-04 11:36:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #2/20                                                           
2025-11-04 11:36:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #3/20                                                           
2025-11-04 11:36:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #4/20                                                           
2025-11-04 11:36:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #5/20                                                           
2025-11-04 11:36:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #6/20                                                           
2025-11-04 11:36:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #7/20                                                           
2025-11-04 11:36:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #8/20                                                           
2025-11-04 11:36:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #9/20                                                           
2025-11-04 11:36:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #10/20                                                          
2025-11-04 11:36:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #11/20                                                          
2025-11-04 11:36:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #12/20                                                          
2025-11-04 11:36:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #13/20                                                          
2025-11-04 11:36:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #14/20                                                          
2025-11-04 11:36:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #15/20                                                          
2025-11-04 11:36:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #16/20                                                          
2025-11-04 11:36:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #17/20                                                          
2025-11-04 11:36:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #18/20                                                          
2025-11-04 11:36:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #19/20                                                          
2025-11-04 11:36:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, getting new HP set #20/20                                                          
2025-11-04 11:36:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, requested 20 jobs, got 20, 32.44 s/job                                             
2025-11-04 11:36:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #1/20 start                                                                   
2025-11-04 11:36:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #2/20 start                                                                   
2025-11-04 11:36:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #3/20 start                                                                   
2025-11-04 11:36:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #4/20 start                                                                   
2025-11-04 11:36:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #5/20 start                                                                   
2025-11-04 11:36:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #6/20 start                                                                   
2025-11-04 11:37:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #7/20 start                                                                   
2025-11-04 11:37:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #8/20 start                                                                   
2025-11-04 11:37:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #9/20 start                                                                   
2025-11-04 11:37:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #10/20 start                                                                  
2025-11-04 11:37:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #11/20 start                                                                  
2025-11-04 11:37:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #12/20 start                                                                  
2025-11-04 11:37:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #13/20 start                                                                  
2025-11-04 11:37:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #14/20 start                                                                  
2025-11-04 11:37:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #15/20 start                                                                  
2025-11-04 11:37:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #16/20 start                                                                  
2025-11-04 11:37:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #17/20 start                                                                  
2025-11-04 11:37:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #18/20 start                                                                  
2025-11-04 11:37:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #19/20 start                                                                  
2025-11-04 11:37:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, eval #20/20 start                                                                  
2025-11-04 11:37:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, starting new job                                                                   
2025-11-04 11:37:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, unknown 1 = ∑1/20, started new job                                                 
2025-11-04 11:37:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, unknown 1 = ∑1/20, starting new job                                                
2025-11-04 11:37:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending/unknown 1/1 = ∑2/20, started new job                                       
2025-11-04 11:37:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending/unknown 1/1 = ∑2/20, starting new job                                      
2025-11-04 11:37:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending/unknown 2/1 = ∑3/20, started new job                                       
2025-11-04 11:37:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending/unknown 2/1 = ∑3/20, starting new job                                      
2025-11-04 11:37:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending/unknown 3/1 = ∑4/20, started new job                                       
2025-11-04 11:37:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending/unknown 3/1 = ∑4/20, starting new job                                      
2025-11-04 11:38:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending/unknown 4/1 = ∑5/20, started new job                                       
2025-11-04 11:38:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, pending/unknown 5/2 = ∑7/20, started new job                                       
2025-11-04 11:38:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running/unknown 7/1 = ∑8/20, started new job                                       
2025-11-04 11:38:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running/pending/unknown 7/1/1 = ∑9/20, started new job                             
2025-11-04 11:38:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running/pending/unknown 7/2/1 = ∑10/20, started new job                            
2025-11-04 11:38:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running/pending/unknown 7/2/2 = ∑11/20, started new job                            
2025-11-04 11:38:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running/pending/unknown 7/4/2 = ∑13/20, started new job                            
2025-11-04 11:38:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running/pending/unknown 10/3/1 = ∑14/20, started new job                           
2025-11-04 11:38:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running/pending/unknown 10/4/1 = ∑15/20, started new job                           
2025-11-04 11:39:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running/pending/unknown 10/5/1 = ∑16/20, started new job                           
2025-11-04 11:39:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running/pending 13/3 = ∑16/20, waiting for 16 jobs                                 
2025-11-04 11:39:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running 16 = ∑16/20, waiting for 16 jobs                                           
2025-11-04 11:41:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running 16 = ∑16/20, new result: VAL_ACC: 31.050000, RUNTIME: 204.276000           
2025-11-04 11:41:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 200 done, running 16 = ∑16/20, new result: VAL_ACC: 21.960000, RUNTIME: 204.447000           
2025-11-04 11:42:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 202 done, running 14 = ∑14/20, waiting for 16 jobs, finished 2 jobs                          
2025-11-04 11:42:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 202 done, running 14 = ∑14/20, waiting for 14 jobs                                           
2025-11-04 11:42:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 202 done, running 14 = ∑14/20, new result: VAL_ACC: 25.050000, RUNTIME: 212.900000           
2025-11-04 11:42:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 202 done, running 14 = ∑14/20, new result: VAL_ACC: 26.670000, RUNTIME: 202.829000           
2025-11-04 11:42:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 202 done, running 14 = ∑14/20, new result: VAL_ACC: 42.060000, RUNTIME: 217.261000           
2025-11-04 11:42:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 202 done, running 14 = ∑14/20, new result: VAL_ACC: 33.180000, RUNTIME: 215.889000           
2025-11-04 11:43:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 206 done, completed/running 4/6 = ∑10/20, waiting for 14 jobs, finished 4 jobs               
2025-11-04 11:43:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 206 done, completed/running 4/6 = ∑10/20, waiting for 10 jobs                                
2025-11-04 11:43:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 206 done, completed/running 4/6 = ∑10/20, new result: VAL_ACC: 23.060000, RUNTIME: 214.317000
2025-11-04 11:43:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 206 done, completed/running 4/6 = ∑10/20, new result: VAL_ACC: 35.470000, RUNTIME: 207.045000
2025-11-04 11:43:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 206 done, completed/running 4/6 = ∑10/20, new result: VAL_ACC: 33.600000, RUNTIME: 205.677000
2025-11-04 11:43:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 206 done, completed/running 4/6 = ∑10/20, new result: VAL_ACC: 22.820000, RUNTIME: 218.348000
2025-11-04 11:43:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 210 done, running 6 = ∑6/20, waiting for 10 jobs, finished 4 jobs                            
2025-11-04 11:43:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 210 done, running 6 = ∑6/20, waiting for 6 jobs                                              
2025-11-04 11:44:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 210 done, running 6 = ∑6/20, new result: VAL_ACC: 22.210000, RUNTIME: 205.765000             
2025-11-04 11:44:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 210 done, running 6 = ∑6/20, new result: VAL_ACC: 32.020000, RUNTIME: 203.146000             
2025-11-04 11:44:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 210 done, running 6 = ∑6/20, new result: VAL_ACC: 20.940000, RUNTIME: 204.835000             
2025-11-04 11:44:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 210 done, running 6 = ∑6/20, new result: VAL_ACC: 33.540000, RUNTIME: 217.463000             
2025-11-04 11:44:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 210 done, running 6 = ∑6/20, new result: VAL_ACC: 31.020000, RUNTIME: 215.636000             
2025-11-04 11:44:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 210 done, running 6 = ∑6/20, new result: VAL_ACC: 30.600000, RUNTIME: 212.130000             
2025-11-04 11:45:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, waiting for 6 jobs, finished 6 jobs                                                
2025-11-04 11:59:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #1/20                                                           
2025-11-04 11:59:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #2/20                                                           
2025-11-04 11:59:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #3/20                                                           
2025-11-04 11:59:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #4/20                                                           
2025-11-04 11:59:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #5/20                                                           
2025-11-04 11:59:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #6/20                                                           
2025-11-04 11:59:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #7/20                                                           
2025-11-04 11:59:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #8/20                                                           
2025-11-04 11:59:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #9/20                                                           
2025-11-04 11:59:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #10/20                                                          
2025-11-04 11:59:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #11/20                                                          
2025-11-04 11:59:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #12/20                                                          
2025-11-04 11:59:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #13/20                                                          
2025-11-04 11:59:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #14/20                                                          
2025-11-04 11:59:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #15/20                                                          
2025-11-04 11:59:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #16/20                                                          
2025-11-04 11:59:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #17/20                                                          
2025-11-04 11:59:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #18/20                                                          
2025-11-04 11:59:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #19/20                                                          
2025-11-04 11:59:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, getting new HP set #20/20                                                          
2025-11-04 11:59:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, requested 20 jobs, got 20, 43.28 s/job                                             
2025-11-04 11:59:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #1/20 start                                                                   
2025-11-04 11:59:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #2/20 start                                                                   
2025-11-04 11:59:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #3/20 start                                                                   
2025-11-04 11:59:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #4/20 start                                                                   
2025-11-04 11:59:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #5/20 start                                                                   
2025-11-04 11:59:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #6/20 start                                                                   
2025-11-04 11:59:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #7/20 start                                                                   
2025-11-04 11:59:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #8/20 start                                                                   
2025-11-04 11:59:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #9/20 start                                                                   
2025-11-04 11:59:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #10/20 start                                                                  
2025-11-04 11:59:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #11/20 start                                                                  
2025-11-04 11:59:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #12/20 start                                                                  
2025-11-04 11:59:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #13/20 start                                                                  
2025-11-04 11:59:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #14/20 start                                                                  
2025-11-04 11:59:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #15/20 start                                                                  
2025-11-04 11:59:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #16/20 start                                                                  
2025-11-04 11:59:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #17/20 start                                                                  
2025-11-04 12:00:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #18/20 start                                                                  
2025-11-04 12:00:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #19/20 start                                                                  
2025-11-04 12:00:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, eval #20/20 start                                                                  
2025-11-04 12:00:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, starting new job                                                                   
2025-11-04 12:00:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, unknown 1 = ∑1/20, started new job                                                 
2025-11-04 12:00:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, unknown 1 = ∑1/20, starting new job                                                
2025-11-04 12:00:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 1/3 = ∑4/20, started new job                                       
2025-11-04 12:00:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 1/3 = ∑4/20, starting new job                                      
2025-11-04 12:00:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 4/3 = ∑7/20, started new job                                       
2025-11-04 12:00:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 7/2 = ∑9/20, started new job                                       
2025-11-04 12:00:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 7/3 = ∑10/20, started new job                                      
2025-11-04 12:00:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 10/2 = ∑12/20, started new job                                     
2025-11-04 12:00:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending 13 = ∑13/20, started new job                                               
2025-11-04 12:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 13/2 = ∑15/20, started new job                                     
2025-11-04 12:00:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 15/1 = ∑16/20, started new job                                     
2025-11-04 12:00:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 16/1 = ∑17/20, started new job                                     
2025-11-04 12:00:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 17/1 = ∑18/20, started new job                                     
2025-11-04 12:00:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 18/2 = ∑20/20, started new job                                     
2025-11-04 12:01:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending/unknown 18/2 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 12:01:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, pending 20 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 12:01:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, running/pending 2/18 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 12:02:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, running/pending 4/16 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 12:04:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, running/pending 6/14 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 12:05:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 216 done, running/pending 6/14 = ∑20/20, new result: VAL_ACC: 50.180000, RUNTIME: 217.585000 
2025-11-04 12:05:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 217 done, running/pending 5/14 = ∑19/20, waiting for 20 jobs, finished 1 job                 
2025-11-04 12:05:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 217 done, running/pending 5/14 = ∑19/20, waiting for 19 jobs                                 
2025-11-04 12:05:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 217 done, running/pending 5/14 = ∑19/20, new result: VAL_ACC: 53.070000, RUNTIME: 223.361000 
2025-11-04 12:05:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 218 done, running/pending 4/14 = ∑18/20, waiting for 19 jobs, finished 1 job                 
2025-11-04 12:05:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 218 done, running/pending 4/14 = ∑18/20, waiting for 18 jobs                                 
2025-11-04 12:05:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 218 done, running/pending 4/14 = ∑18/20, new result: VAL_ACC: 52.010000, RUNTIME: 225.348000 
2025-11-04 12:06:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 219 done, running/pending 3/14 = ∑17/20, waiting for 18 jobs, finished 1 job                 
2025-11-04 12:06:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 219 done, running/pending 3/14 = ∑17/20, waiting for 17 jobs                                 
2025-11-04 12:06:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 219 done, running/pending 3/14 = ∑17/20, new result: VAL_ACC: 50.100000, RUNTIME: 217.700000 
2025-11-04 12:06:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 220 done, pending/running 14/2 = ∑16/20, waiting for 17 jobs, finished 1 job                 
2025-11-04 12:06:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 220 done, pending/running 14/2 = ∑16/20, waiting for 16 jobs                                 
2025-11-04 12:07:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 220 done, pending/running 14/2 = ∑16/20, new result: VAL_ACC: 51.040000, RUNTIME: 229.215000 
2025-11-04 12:07:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 221 done, pending/running 14/1 = ∑15/20, waiting for 16 jobs, finished 1 job                 
2025-11-04 12:07:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 221 done, pending/running 14/1 = ∑15/20, waiting for 15 jobs                                 
2025-11-04 12:08:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 221 done, running 15 = ∑15/20, waiting for 15 jobs                                           
2025-11-04 12:08:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 221 done, running 15 = ∑15/20, new result: VAL_ACC: 51.670000, RUNTIME: 228.145000           
2025-11-04 12:08:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 222 done, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job                           
2025-11-04 12:08:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 222 done, running 14 = ∑14/20, waiting for 14 jobs                                           
2025-11-04 12:08:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 222 done, running 14 = ∑14/20, new result: VAL_ACC: 51.690000, RUNTIME: 224.271000           
2025-11-04 12:09:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 223 done, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job                           
2025-11-04 12:09:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 223 done, running 13 = ∑13/20, waiting for 13 jobs                                           
2025-11-04 12:09:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 223 done, running 13 = ∑13/20, new result: VAL_ACC: 53.140000, RUNTIME: 223.097000           
2025-11-04 12:09:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 223 done, running 13 = ∑13/20, new result: VAL_ACC: 53.670000, RUNTIME: 220.466000           
2025-11-04 12:09:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 225 done, running 11 = ∑11/20, waiting for 13 jobs, finished 2 jobs                          
2025-11-04 12:09:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 225 done, running 11 = ∑11/20, waiting for 11 jobs                                           
2025-11-04 12:09:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 225 done, running 11 = ∑11/20, new result: VAL_ACC: 52.550000, RUNTIME: 226.750000           
2025-11-04 12:09:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 225 done, running 11 = ∑11/20, new result: VAL_ACC: 51.220000, RUNTIME: 230.775000           
2025-11-04 12:10:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 227 done, running 9 = ∑9/20, waiting for 11 jobs, finished 2 jobs                            
2025-11-04 12:10:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 227 done, running 9 = ∑9/20, waiting for 9 jobs                                              
2025-11-04 12:10:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 227 done, running 9 = ∑9/20, new result: VAL_ACC: 50.550000, RUNTIME: 224.226000             
2025-11-04 12:10:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 227 done, running 9 = ∑9/20, new result: VAL_ACC: 49.790000, RUNTIME: 222.360000             
2025-11-04 12:10:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 229 done, running 7 = ∑7/20, waiting for 9 jobs, finished 2 jobs                             
2025-11-04 12:10:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 229 done, running 7 = ∑7/20, waiting for 7 jobs                                              
2025-11-04 12:10:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 229 done, running 7 = ∑7/20, new result: VAL_ACC: 53.080000, RUNTIME: 237.057000             
2025-11-04 12:10:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 229 done, running 7 = ∑7/20, new result: VAL_ACC: 52.080000, RUNTIME: 236.000000             
2025-11-04 12:10:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 229 done, running 7 = ∑7/20, new result: VAL_ACC: 51.900000, RUNTIME: 219.344000             
2025-11-04 12:11:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 232 done, running 4 = ∑4/20, waiting for 7 jobs, finished 3 jobs                             
2025-11-04 12:11:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 232 done, running 4 = ∑4/20, waiting for 4 jobs                                              
2025-11-04 12:11:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 232 done, running 4 = ∑4/20, new result: VAL_ACC: 51.000000, RUNTIME: 222.409000             
2025-11-04 12:11:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 232 done, running 4 = ∑4/20, new result: VAL_ACC: 51.190000, RUNTIME: 228.902000             
2025-11-04 12:11:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 232 done, running 4 = ∑4/20, new result: VAL_ACC: 52.740000, RUNTIME: 219.331000             
2025-11-04 12:12:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 235 done, running 1 = ∑1/20, waiting for 4 jobs, finished 3 jobs                             
2025-11-04 12:12:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 235 done, running 1 = ∑1/20, waiting for 1 job                                               
2025-11-04 12:12:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 235 done, running 1 = ∑1/20, new result: VAL_ACC: 50.660000, RUNTIME: 235.095000             
2025-11-04 12:12:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, waiting for 1 job, finished 1 job                                                  
2025-11-04 12:30:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #1/20                                                           
2025-11-04 12:30:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #2/20                                                           
2025-11-04 12:30:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #3/20                                                           
2025-11-04 12:30:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #4/20                                                           
2025-11-04 12:30:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #5/20                                                           
2025-11-04 12:30:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #6/20                                                           
2025-11-04 12:30:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #7/20                                                           
2025-11-04 12:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #8/20                                                           
2025-11-04 12:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #9/20                                                           
2025-11-04 12:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #10/20                                                          
2025-11-04 12:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #11/20                                                          
2025-11-04 12:30:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #12/20                                                          
2025-11-04 12:30:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #13/20                                                          
2025-11-04 12:30:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #14/20                                                          
2025-11-04 12:30:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #15/20                                                          
2025-11-04 12:30:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #16/20                                                          
2025-11-04 12:30:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #17/20                                                          
2025-11-04 12:30:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #18/20                                                          
2025-11-04 12:30:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #19/20                                                          
2025-11-04 12:30:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, getting new HP set #20/20                                                          
2025-11-04 12:30:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, requested 20 jobs, got 20, 54.36 s/job                                             
2025-11-04 12:30:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #1/20 start                                                                   
2025-11-04 12:30:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #2/20 start                                                                   
2025-11-04 12:30:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #3/20 start                                                                   
2025-11-04 12:30:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #4/20 start                                                                   
2025-11-04 12:30:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #5/20 start                                                                   
2025-11-04 12:30:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #6/20 start                                                                   
2025-11-04 12:30:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #7/20 start                                                                   
2025-11-04 12:30:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #8/20 start                                                                   
2025-11-04 12:30:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #9/20 start                                                                   
2025-11-04 12:30:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #10/20 start                                                                  
2025-11-04 12:30:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #11/20 start                                                                  
2025-11-04 12:30:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #12/20 start                                                                  
2025-11-04 12:30:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #13/20 start                                                                  
2025-11-04 12:30:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #14/20 start                                                                  
2025-11-04 12:30:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #15/20 start                                                                  
2025-11-04 12:30:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #16/20 start                                                                  
2025-11-04 12:30:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #17/20 start                                                                  
2025-11-04 12:31:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #18/20 start                                                                  
2025-11-04 12:31:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #19/20 start                                                                  
2025-11-04 12:31:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, eval #20/20 start                                                                  
2025-11-04 12:31:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, starting new job                                                                   
2025-11-04 12:31:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, unknown 1 = ∑1/20, started new job                                                 
2025-11-04 12:31:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, unknown 1 = ∑1/20, starting new job                                                
2025-11-04 12:31:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 1/2 = ∑3/20, started new job                                       
2025-11-04 12:31:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 1/2 = ∑3/20, starting new job                                      
2025-11-04 12:31:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 3/2 = ∑5/20, started new job                                       
2025-11-04 12:31:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 3/2 = ∑5/20, starting new job                                      
2025-11-04 12:31:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 5/1 = ∑6/20, started new job                                       
2025-11-04 12:31:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending 7 = ∑7/20, started new job                                                 
2025-11-04 12:31:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending 8 = ∑8/20, started new job                                                 
2025-11-04 12:31:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 9/1 = ∑10/20, started new job                                      
2025-11-04 12:31:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 9/2 = ∑11/20, started new job                                      
2025-11-04 12:31:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending 12 = ∑12/20, started new job                                               
2025-11-04 12:31:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending 13 = ∑13/20, started new job                                               
2025-11-04 12:31:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 13/2 = ∑15/20, started new job                                     
2025-11-04 12:31:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 15/3 = ∑18/20, started new job                                     
2025-11-04 12:32:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 18/2 = ∑20/20, started new job                                     
2025-11-04 12:32:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending/unknown 18/2 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 12:32:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, pending 20 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 12:39:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, running/pending 16/4 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 12:41:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 236 done, running/pending 16/4 = ∑20/20, new result: VAL_ACC: 49.870000, RUNTIME: 226.018000 
2025-11-04 12:42:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 237 done, running/pending 15/4 = ∑19/20, waiting for 20 jobs, finished 1 job                 
2025-11-04 12:42:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 237 done, running/pending 15/4 = ∑19/20, waiting for 19 jobs                                 
2025-11-04 12:42:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 237 done, running/pending 15/4 = ∑19/20, new result: VAL_ACC: 51.400000, RUNTIME: 234.404000 
2025-11-04 12:42:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 237 done, running/pending 15/4 = ∑19/20, new result: VAL_ACC: 52.380000, RUNTIME: 241.151000 
2025-11-04 12:42:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 239 done, running/pending 13/4 = ∑17/20, waiting for 19 jobs, finished 2 jobs                
2025-11-04 12:42:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 239 done, running/pending 13/4 = ∑17/20, waiting for 17 jobs                                 
2025-11-04 12:42:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 239 done, running/pending 13/4 = ∑17/20, new result: VAL_ACC: 50.990000, RUNTIME: 261.980000 
2025-11-04 12:42:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 239 done, running/pending 13/4 = ∑17/20, new result: VAL_ACC: 52.170000, RUNTIME: 254.830000 
2025-11-04 12:42:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 239 done, running/pending 13/4 = ∑17/20, new result: VAL_ACC: 51.460000, RUNTIME: 227.647000 
2025-11-04 12:42:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 239 done, running/pending 13/4 = ∑17/20, new result: VAL_ACC: 52.080000, RUNTIME: 244.309000 
2025-11-04 12:42:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 239 done, running/pending 13/4 = ∑17/20, new result: VAL_ACC: 46.170000, RUNTIME: 220.108000 
2025-11-04 12:44:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, waiting for 17 jobs, finished 5 jobs                 
2025-11-04 12:44:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, waiting for 12 jobs                                  
2025-11-04 12:44:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, new result: VAL_ACC: 53.250000, RUNTIME: 341.742000  
2025-11-04 12:44:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, new result: VAL_ACC: 55.790000, RUNTIME: 311.323000  
2025-11-04 12:44:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, new result: VAL_ACC: 51.570000, RUNTIME: 264.887000  
2025-11-04 12:44:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, new result: VAL_ACC: 52.020000, RUNTIME: 245.092000  
2025-11-04 12:44:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, new result: VAL_ACC: 51.010000, RUNTIME: 243.451000  
2025-11-04 12:44:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, new result: VAL_ACC: 50.840000, RUNTIME: 242.297000  
2025-11-04 12:44:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, new result: VAL_ACC: 52.050000, RUNTIME: 255.880000  
2025-11-04 12:44:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, new result: VAL_ACC: 51.770000, RUNTIME: 240.829000  
2025-11-04 12:44:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 244 done, running/pending 8/4 = ∑12/20, new result: VAL_ACC: 51.930000, RUNTIME: 244.241000  
2025-11-04 12:46:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 253 done, pending/running 2/1 = ∑3/20, waiting for 12 jobs, finished 9 jobs                  
2025-11-04 12:46:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 253 done, pending/running 2/1 = ∑3/20, waiting for 3 jobs                                    
2025-11-04 12:46:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 253 done, pending/running 2/1 = ∑3/20, new result: VAL_ACC: 51.840000, RUNTIME: 271.210000   
2025-11-04 12:46:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 253 done, pending/running 2/1 = ∑3/20, new result: VAL_ACC: 51.930000, RUNTIME: 247.191000   
2025-11-04 12:46:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 253 done, pending/running 2/1 = ∑3/20, new result: VAL_ACC: 52.400000, RUNTIME: 246.881000   
2025-11-04 12:47:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, waiting for 3 jobs, finished 3 jobs                                                
2025-11-04 13:00:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #1/20                                                           
2025-11-04 13:00:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #2/20                                                           
2025-11-04 13:00:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #3/20                                                           
2025-11-04 13:00:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #4/20                                                           
2025-11-04 13:00:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #5/20                                                           
2025-11-04 13:00:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #6/20                                                           
2025-11-04 13:00:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #7/20                                                           
2025-11-04 13:00:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #8/20                                                           
2025-11-04 13:00:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #9/20                                                           
2025-11-04 13:00:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #10/20                                                          
2025-11-04 13:00:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #11/20                                                          
2025-11-04 13:00:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #12/20                                                          
2025-11-04 13:00:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #13/20                                                          
2025-11-04 13:00:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #14/20                                                          
2025-11-04 13:00:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #15/20                                                          
2025-11-04 13:00:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #16/20                                                          
2025-11-04 13:00:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #17/20                                                          
2025-11-04 13:00:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #18/20                                                          
2025-11-04 13:00:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #19/20                                                          
2025-11-04 13:00:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, getting new HP set #20/20                                                          
2025-11-04 13:00:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, requested 20 jobs, got 20, 39.35 s/job                                             
2025-11-04 13:00:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #1/20 start                                                                   
2025-11-04 13:00:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #2/20 start                                                                   
2025-11-04 13:00:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #3/20 start                                                                   
2025-11-04 13:00:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #4/20 start                                                                   
2025-11-04 13:00:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #5/20 start                                                                   
2025-11-04 13:00:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #6/20 start                                                                   
2025-11-04 13:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #7/20 start                                                                   
2025-11-04 13:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #8/20 start                                                                   
2025-11-04 13:00:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #9/20 start                                                                   
2025-11-04 13:00:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #10/20 start                                                                  
2025-11-04 13:00:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #11/20 start                                                                  
2025-11-04 13:00:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #12/20 start                                                                  
2025-11-04 13:00:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #13/20 start                                                                  
2025-11-04 13:00:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #14/20 start                                                                  
2025-11-04 13:00:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #15/20 start                                                                  
2025-11-04 13:00:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #16/20 start                                                                  
2025-11-04 13:00:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #17/20 start                                                                  
2025-11-04 13:00:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #18/20 start                                                                  
2025-11-04 13:00:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #19/20 start                                                                  
2025-11-04 13:00:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, eval #20/20 start                                                                  
2025-11-04 13:00:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, starting new job                                                                   
2025-11-04 13:00:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, unknown 3 = ∑3/20, started new job                                                 
2025-11-04 13:00:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, unknown 3 = ∑3/20, starting new job                                                
2025-11-04 13:00:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, pending/unknown 3/2 = ∑5/20, started new job                                       
2025-11-04 13:00:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, pending/unknown 3/2 = ∑5/20, starting new job                                      
2025-11-04 13:01:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, pending/running/unknown 4/1/1 = ∑6/20, started new job                             
2025-11-04 13:01:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, pending/running/unknown 5/1/1 = ∑7/20, started new job                             
2025-11-04 13:01:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 2/5/2 = ∑9/20, started new job                             
2025-11-04 13:01:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 2/7/2 = ∑11/20, started new job                            
2025-11-04 13:01:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 2/7/3 = ∑12/20, started new job                            
2025-11-04 13:01:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 2/10/1 = ∑13/20, started new job                           
2025-11-04 13:01:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 2/10/2 = ∑14/20, started new job                           
2025-11-04 13:01:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 2/10/4 = ∑16/20, started new job                           
2025-11-04 13:01:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 4/8/5 = ∑17/20, started new job                            
2025-11-04 13:01:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 4/13/1 = ∑18/20, started new job                           
2025-11-04 13:01:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 4/14/2 = ∑20/20, started new job                           
2025-11-04 13:01:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending/unknown 4/14/2 = ∑20/20, waiting for 20 jobs                       
2025-11-04 13:02:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending 4/16 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 13:02:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending 6/14 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 13:03:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending 9/11 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 13:04:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending 13/7 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 13:05:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 256 done, running/pending 13/7 = ∑20/20, new result: VAL_ACC: 36.710000, RUNTIME: 238.134000 
2025-11-04 13:06:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 257 done, running/pending 12/7 = ∑19/20, waiting for 20 jobs, finished 1 job                 
2025-11-04 13:06:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 257 done, running/pending 12/7 = ∑19/20, waiting for 19 jobs                                 
2025-11-04 13:06:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 257 done, running/pending 12/7 = ∑19/20, new result: VAL_ACC: 47.600000, RUNTIME: 331.501000 
2025-11-04 13:07:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 258 done, running/pending 11/7 = ∑18/20, waiting for 19 jobs, finished 1 job                 
2025-11-04 13:07:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 258 done, running/pending 11/7 = ∑18/20, waiting for 18 jobs                                 
2025-11-04 13:07:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 258 done, running/pending 11/7 = ∑18/20, new result: VAL_ACC: 35.960000, RUNTIME: 256.769000 
2025-11-04 13:07:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 258 done, running/pending 11/7 = ∑18/20, new result: VAL_ACC: 49.380000, RUNTIME: 313.344000 
2025-11-04 13:07:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 258 done, running/pending 11/7 = ∑18/20, new result: VAL_ACC: 47.510000, RUNTIME: 275.316000 
2025-11-04 13:07:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 258 done, running/pending 11/7 = ∑18/20, new result: VAL_ACC: 39.230000, RUNTIME: 243.537000 
2025-11-04 13:07:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 258 done, running/pending 11/7 = ∑18/20, new result: VAL_ACC: 37.290000, RUNTIME: 232.770000 
2025-11-04 13:08:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 263 done, completed/running/pending 1/7/5 = ∑13/20, waiting for 18 jobs, finished 5 jobs     
2025-11-04 13:08:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 263 done, completed/running/pending 1/7/5 = ∑13/20, waiting for 13 jobs                      
2025-11-04 13:08:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 263 done, completed/running/pending 1/7/5 = ∑13/20, new result: VAL_ACC: 49.300000, RUNTIME: 353.420000
2025-11-04 13:09:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 264 done, running/pending 7/5 = ∑12/20, waiting for 13 jobs, finished 1 job                            
2025-11-04 13:09:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 264 done, running/pending 7/5 = ∑12/20, waiting for 12 jobs                                            
2025-11-04 13:09:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 264 done, running/pending 7/5 = ∑12/20, new result: VAL_ACC: 51.600000, RUNTIME: 326.301000            
2025-11-04 13:09:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 265 done, running/pending 6/5 = ∑11/20, waiting for 12 jobs, finished 1 job                            
2025-11-04 13:09:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 265 done, running/pending 6/5 = ∑11/20, waiting for 11 jobs                                            
2025-11-04 13:09:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 265 done, running/pending 6/5 = ∑11/20, new result: VAL_ACC: 54.460000, RUNTIME: 387.280000            
2025-11-04 13:09:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 266 done, running/pending 5/5 = ∑10/20, waiting for 11 jobs, finished 1 job                            
2025-11-04 13:09:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 266 done, running/pending 5/5 = ∑10/20, waiting for 10 jobs                                            
2025-11-04 13:09:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 266 done, running/pending 5/5 = ∑10/20, new result: VAL_ACC: 51.840000, RUNTIME: 349.371000            
2025-11-04 13:10:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 267 done, running/pending 4/5 = ∑9/20, waiting for 10 jobs, finished 1 job                             
2025-11-04 13:10:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 267 done, running/pending 4/5 = ∑9/20, waiting for 9 jobs                                              
2025-11-04 13:10:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 267 done, running/pending 4/5 = ∑9/20, new result: VAL_ACC: 53.930000, RUNTIME: 354.607000             
2025-11-04 13:10:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 267 done, running/pending 4/5 = ∑9/20, new result: VAL_ACC: 50.690000, RUNTIME: 281.442000             
2025-11-04 13:10:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 269 done, running/pending 2/5 = ∑7/20, waiting for 9 jobs, finished 2 jobs                             
2025-11-04 13:10:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 269 done, running/pending 2/5 = ∑7/20, waiting for 7 jobs                                              
2025-11-04 13:10:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 269 done, running/pending 2/5 = ∑7/20, new result: VAL_ACC: 52.190000, RUNTIME: 324.184000             
2025-11-04 13:11:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 270 done, running/pending 1/5 = ∑6/20, waiting for 7 jobs, finished 1 job                              
2025-11-04 13:11:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 270 done, running/pending 1/5 = ∑6/20, waiting for 6 jobs                                              
2025-11-04 13:11:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 270 done, running/pending 1/5 = ∑6/20, new result: VAL_ACC: 55.440000, RUNTIME: 481.649000             
2025-11-04 13:12:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 271 done, pending 5 = ∑5/20, waiting for 6 jobs, finished 1 job                                        
2025-11-04 13:12:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 271 done, pending 5 = ∑5/20, waiting for 5 jobs                                                        
2025-11-04 13:14:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 271 done, running/pending 4/1 = ∑5/20, waiting for 5 jobs                                              
2025-11-04 13:17:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 271 done, running/pending 4/1 = ∑5/20, new result: VAL_ACC: 49.870000, RUNTIME: 281.759000             
2025-11-04 13:17:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 272 done, running/pending 3/1 = ∑4/20, waiting for 5 jobs, finished 1 job                              
2025-11-04 13:17:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 272 done, running/pending 3/1 = ∑4/20, waiting for 4 jobs                                              
2025-11-04 13:17:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 272 done, running/pending 3/1 = ∑4/20, new result: VAL_ACC: 49.500000, RUNTIME: 294.599000             
2025-11-04 13:17:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 273 done, running/pending 2/1 = ∑3/20, waiting for 4 jobs, finished 1 job                              
2025-11-04 13:17:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 273 done, running/pending 2/1 = ∑3/20, waiting for 3 jobs                                              
2025-11-04 13:18:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 273 done, running/pending 2/1 = ∑3/20, new result: VAL_ACC: 51.370000, RUNTIME: 352.746000             
2025-11-04 13:18:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 274 done, running/pending 1/1 = ∑2/20, waiting for 3 jobs, finished 1 job                              
2025-11-04 13:18:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 274 done, running/pending 1/1 = ∑2/20, waiting for 2 jobs                                              
2025-11-04 13:18:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 274 done, running/pending 1/1 = ∑2/20, new result: VAL_ACC: 49.480000, RUNTIME: 310.574000             
2025-11-04 13:19:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 275 done, pending 1 = ∑1/20, waiting for 2 jobs, finished 1 job                                        
2025-11-04 13:19:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 275 done, pending 1 = ∑1/20, waiting for 1 job                                                         
2025-11-04 13:24:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 275 done, running 1 = ∑1/20, waiting for 1 job                                                         
2025-11-04 13:29:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 275 done, running 1 = ∑1/20, new result: VAL_ACC: 49.510000, RUNTIME: 329.361000                       
2025-11-04 13:30:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, waiting for 1 job, finished 1 job                                                            
2025-11-04 13:46:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #1/20                                                                     
2025-11-04 13:46:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #2/20                                                                     
2025-11-04 13:46:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #3/20                                                                     
2025-11-04 13:46:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #4/20                                                                     
2025-11-04 13:46:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #5/20                                                                     
2025-11-04 13:46:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #6/20                                                                     
2025-11-04 13:46:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #7/20                                                                     
2025-11-04 13:46:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #8/20                                                                     
2025-11-04 13:46:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #9/20                                                                     
2025-11-04 13:46:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #10/20                                                                    
2025-11-04 13:46:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #11/20                                                                    
2025-11-04 13:46:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #12/20                                                                    
2025-11-04 13:46:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #13/20                                                                    
2025-11-04 13:46:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #14/20                                                                    
2025-11-04 13:46:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #15/20                                                                    
2025-11-04 13:46:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #16/20                                                                    
2025-11-04 13:46:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #17/20                                                                    
2025-11-04 13:46:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #18/20                                                                    
2025-11-04 13:46:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #19/20                                                                    
2025-11-04 13:46:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, getting new HP set #20/20                                                                    
2025-11-04 13:46:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, requested 20 jobs, got 20, 47.81 s/job                                                       
2025-11-04 13:46:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #1/20 start                                                                             
2025-11-04 13:46:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #2/20 start                                                                             
2025-11-04 13:46:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #3/20 start                                                                             
2025-11-04 13:46:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #4/20 start                                                                             
2025-11-04 13:46:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #5/20 start                                                                             
2025-11-04 13:46:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #6/20 start                                                                             
2025-11-04 13:46:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #7/20 start                                                                             
2025-11-04 13:46:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #8/20 start                                                                             
2025-11-04 13:46:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #9/20 start                                                                             
2025-11-04 13:46:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #10/20 start                                                                            
2025-11-04 13:46:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #11/20 start                                                                            
2025-11-04 13:46:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #12/20 start                                                                            
2025-11-04 13:46:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #13/20 start                                                                            
2025-11-04 13:46:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #14/20 start                                                                            
2025-11-04 13:46:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #15/20 start                                                                            
2025-11-04 13:46:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #16/20 start                                                                            
2025-11-04 13:46:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #17/20 start                                                                            
2025-11-04 13:46:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #18/20 start                                                                            
2025-11-04 13:46:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #19/20 start                                                                            
2025-11-04 13:46:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, eval #20/20 start                                                                            
2025-11-04 13:46:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, starting new job                                                                             
2025-11-04 13:47:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, unknown 1 = ∑1/20, started new job                                                           
2025-11-04 13:47:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, unknown 1 = ∑1/20, starting new job                                                          
2025-11-04 13:47:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 1/1 = ∑2/20, started new job                                                 
2025-11-04 13:47:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 1/1 = ∑2/20, starting new job                                                
2025-11-04 13:47:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 2/1 = ∑3/20, started new job                                                 
2025-11-04 13:47:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 2/1 = ∑3/20, starting new job                                                
2025-11-04 13:47:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 3/1 = ∑4/20, started new job                                                 
2025-11-04 13:47:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 3/1 = ∑4/20, starting new job                                                
2025-11-04 13:47:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 4/1 = ∑5/20, started new job                                                 
2025-11-04 13:47:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 5/1 = ∑6/20, started new job                                                 
2025-11-04 13:48:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 6/1 = ∑7/20, started new job                                                 
2025-11-04 13:48:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 7/1 = ∑8/20, started new job                                                 
2025-11-04 13:49:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 8/1 = ∑9/20, started new job                                                 
2025-11-04 13:49:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending/unknown 9/1 = ∑10/20, started new job                                                
2025-11-04 13:49:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, pending 10 = ∑10/20, waiting for 10 jobs                                                     
2025-11-04 13:57:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, running/pending 7/3 = ∑10/20, waiting for 10 jobs                                            
2025-11-04 14:02:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 276 done, running/pending 7/3 = ∑10/20, new result: VAL_ACC: 60.870000, RUNTIME: 505.321000            
2025-11-04 14:02:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 277 done, running/pending 6/3 = ∑9/20, waiting for 10 jobs, finished 1 job                             
2025-11-04 14:02:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 277 done, running/pending 6/3 = ∑9/20, waiting for 9 jobs                                              
2025-11-04 14:03:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 277 done, running/pending 6/3 = ∑9/20, new result: VAL_ACC: 60.880000, RUNTIME: 518.243000             
2025-11-04 14:03:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 278 done, running/pending 5/3 = ∑8/20, waiting for 9 jobs, finished 1 job                              
2025-11-04 14:03:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 278 done, running/pending 5/3 = ∑8/20, waiting for 8 jobs                                              
2025-11-04 14:03:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 278 done, running/pending 5/3 = ∑8/20, new result: VAL_ACC: 60.610000, RUNTIME: 494.213000             
2025-11-04 14:04:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 279 done, running/pending 4/3 = ∑7/20, waiting for 8 jobs, finished 1 job                              
2025-11-04 14:04:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 279 done, running/pending 4/3 = ∑7/20, waiting for 7 jobs                                              
2025-11-04 14:05:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 279 done, running/pending 4/3 = ∑7/20, new result: VAL_ACC: 61.260000, RUNTIME: 529.113000             
2025-11-04 14:05:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 280 done, running/pending 3/3 = ∑6/20, waiting for 7 jobs, finished 1 job                              
2025-11-04 14:05:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 280 done, running/pending 3/3 = ∑6/20, waiting for 6 jobs                                              
2025-11-04 14:06:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 280 done, running/pending 3/3 = ∑6/20, new result: VAL_ACC: 61.230000, RUNTIME: 541.278000             
2025-11-04 14:06:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 281 done, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job                                        
2025-11-04 14:06:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 281 done, running 5 = ∑5/20, waiting for 5 jobs                                                        
2025-11-04 14:06:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 281 done, running 5 = ∑5/20, new result: VAL_ACC: 61.900000, RUNTIME: 558.269000                       
2025-11-04 14:06:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 281 done, running 5 = ∑5/20, new result: VAL_ACC: 60.400000, RUNTIME: 586.237000                       
2025-11-04 14:07:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 283 done, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs                                       
2025-11-04 14:07:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 283 done, running 3 = ∑3/20, waiting for 3 jobs                                                        
2025-11-04 14:07:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 283 done, running 3 = ∑3/20, new result: VAL_ACC: 60.150000, RUNTIME: 520.365000                       
2025-11-04 14:07:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 284 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job                                        
2025-11-04 14:07:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 284 done, running 2 = ∑2/20, waiting for 2 jobs                                                        
2025-11-04 14:11:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 284 done, running 2 = ∑2/20, new result: VAL_ACC: 61.930000, RUNTIME: 591.902000                       
2025-11-04 14:12:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 285 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job                                        
2025-11-04 14:12:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 285 done, running 1 = ∑1/20, waiting for 1 job                                                         
2025-11-04 14:13:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 285 done, running 1 = ∑1/20, new result: VAL_ACC: 60.170000, RUNTIME: 665.228000                       
2025-11-04 14:14:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, waiting for 1 job, finished 1 job                                                            
2025-11-04 14:29:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #1/20                                                                     
2025-11-04 14:29:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #2/20                                                                     
2025-11-04 14:29:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #3/20                                                                     
2025-11-04 14:29:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #4/20                                                                     
2025-11-04 14:29:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #5/20                                                                     
2025-11-04 14:29:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #6/20                                                                     
2025-11-04 14:29:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #7/20                                                                     
2025-11-04 14:30:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #8/20                                                                     
2025-11-04 14:30:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #9/20                                                                     
2025-11-04 14:30:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #10/20                                                                    
2025-11-04 14:30:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #11/20                                                                    
2025-11-04 14:30:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #12/20                                                                    
2025-11-04 14:30:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #13/20                                                                    
2025-11-04 14:30:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #14/20                                                                    
2025-11-04 14:30:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #15/20                                                                    
2025-11-04 14:30:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #16/20                                                                    
2025-11-04 14:30:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #17/20                                                                    
2025-11-04 14:30:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #18/20                                                                    
2025-11-04 14:30:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #19/20                                                                    
2025-11-04 14:30:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, getting new HP set #20/20                                                                    
2025-11-04 14:30:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, requested 20 jobs, got 20, 48.03 s/job                                                       
2025-11-04 14:30:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #1/20 start                                                                             
2025-11-04 14:30:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #2/20 start                                                                             
2025-11-04 14:30:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #3/20 start                                                                             
2025-11-04 14:30:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #4/20 start                                                                             
2025-11-04 14:30:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #5/20 start                                                                             
2025-11-04 14:30:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #6/20 start                                                                             
2025-11-04 14:30:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #7/20 start                                                                             
2025-11-04 14:30:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #8/20 start                                                                             
2025-11-04 14:30:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #9/20 start                                                                             
2025-11-04 14:30:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #10/20 start                                                                            
2025-11-04 14:30:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #11/20 start                                                                            
2025-11-04 14:30:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #12/20 start                                                                            
2025-11-04 14:30:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #13/20 start                                                                            
2025-11-04 14:30:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #14/20 start                                                                            
2025-11-04 14:30:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #15/20 start                                                                            
2025-11-04 14:30:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #16/20 start                                                                            
2025-11-04 14:30:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #17/20 start                                                                            
2025-11-04 14:30:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #18/20 start                                                                            
2025-11-04 14:30:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #19/20 start                                                                            
2025-11-04 14:30:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, eval #20/20 start                                                                            
2025-11-04 14:30:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, starting new job                                                                             
2025-11-04 14:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, unknown 3 = ∑3/20, started new job                                                           
2025-11-04 14:30:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, unknown 3 = ∑3/20, starting new job                                                          
2025-11-04 14:30:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 3/1 = ∑4/20, started new job                                                 
2025-11-04 14:30:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 3/1 = ∑4/20, starting new job                                                
2025-11-04 14:30:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 4/1 = ∑5/20, started new job                                                 
2025-11-04 14:30:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 5/1 = ∑6/20, started new job                                                 
2025-11-04 14:30:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 6/1 = ∑7/20, started new job                                                 
2025-11-04 14:30:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 7/1 = ∑8/20, started new job                                                 
2025-11-04 14:31:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 8/1 = ∑9/20, started new job                                                 
2025-11-04 14:31:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 9/1 = ∑10/20, started new job                                                
2025-11-04 14:31:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 10/1 = ∑11/20, started new job                                               
2025-11-04 14:31:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, pending/unknown 11/1 = ∑12/20, started new job                                               
2025-11-04 14:31:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, running/pending/unknown 1/11/1 = ∑13/20, started new job                                     
2025-11-04 14:31:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, running/pending/unknown 1/12/7 = ∑20/20, started new job                                     
2025-11-04 14:31:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, running/pending/unknown 1/12/7 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 14:31:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, running/pending 1/19 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 14:31:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, running/pending 2/18 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 14:33:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, running/pending 4/16 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 14:35:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 286 done, running/pending 4/16 = ∑20/20, new result: VAL_ACC: 52.910000, RUNTIME: 213.883000           
2025-11-04 14:35:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 287 done, running/pending 3/16 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-04 14:35:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 287 done, running/pending 3/16 = ∑19/20, waiting for 19 jobs                                           
2025-11-04 14:35:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 287 done, running/pending 3/16 = ∑19/20, new result: VAL_ACC: 52.620000, RUNTIME: 224.924000           
2025-11-04 14:36:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 288 done, running/pending 13/5 = ∑18/20, waiting for 19 jobs, finished 1 job                           
2025-11-04 14:36:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 288 done, running/pending 13/5 = ∑18/20, waiting for 18 jobs                                           
2025-11-04 14:36:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 288 done, running/pending 13/5 = ∑18/20, new result: VAL_ACC: 52.780000, RUNTIME: 217.258000           
2025-11-04 14:37:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 289 done, running/pending 12/5 = ∑17/20, waiting for 18 jobs, finished 1 job                           
2025-11-04 14:37:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 289 done, running/pending 12/5 = ∑17/20, waiting for 17 jobs                                           
2025-11-04 14:37:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 289 done, running/pending 12/5 = ∑17/20, new result: VAL_ACC: 51.140000, RUNTIME: 215.705000           
2025-11-04 14:37:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 290 done, running/pending 11/5 = ∑16/20, waiting for 17 jobs, finished 1 job                           
2025-11-04 14:37:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 290 done, running/pending 11/5 = ∑16/20, waiting for 16 jobs                                           
2025-11-04 14:38:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 290 done, running/pending 11/5 = ∑16/20, new result: VAL_ACC: 53.830000, RUNTIME: 222.176000           
2025-11-04 14:38:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 291 done, running/pending 10/5 = ∑15/20, waiting for 16 jobs, finished 1 job                           
2025-11-04 14:38:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 291 done, running/pending 10/5 = ∑15/20, waiting for 15 jobs                                           
2025-11-04 14:38:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 291 done, running/pending 10/5 = ∑15/20, new result: VAL_ACC: 51.770000, RUNTIME: 249.799000           
2025-11-04 14:39:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 292 done, running/pending 9/5 = ∑14/20, waiting for 15 jobs, finished 1 job                            
2025-11-04 14:39:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 292 done, running/pending 9/5 = ∑14/20, waiting for 14 jobs                                            
2025-11-04 14:39:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 292 done, running/pending 9/5 = ∑14/20, new result: VAL_ACC: 53.880000, RUNTIME: 217.645000            
2025-11-04 14:39:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 292 done, running/pending 9/5 = ∑14/20, new result: VAL_ACC: 53.070000, RUNTIME: 270.188000            
2025-11-04 14:39:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 292 done, running/pending 9/5 = ∑14/20, new result: VAL_ACC: 54.570000, RUNTIME: 221.639000            
2025-11-04 14:39:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 292 done, running/pending 9/5 = ∑14/20, new result: VAL_ACC: 53.770000, RUNTIME: 302.889000            
2025-11-04 14:40:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 296 done, running/pending 5/5 = ∑10/20, waiting for 14 jobs, finished 4 jobs                           
2025-11-04 14:40:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 296 done, running/pending 5/5 = ∑10/20, waiting for 10 jobs                                            
2025-11-04 14:40:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 296 done, running/pending 5/5 = ∑10/20, new result: VAL_ACC: 50.000000, RUNTIME: 241.831000            
2025-11-04 14:40:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 296 done, running/pending 5/5 = ∑10/20, new result: VAL_ACC: 51.250000, RUNTIME: 220.425000            
2025-11-04 14:40:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 296 done, running/pending 5/5 = ∑10/20, new result: VAL_ACC: 51.750000, RUNTIME: 241.893000            
2025-11-04 14:40:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 296 done, running/pending 5/5 = ∑10/20, new result: VAL_ACC: 54.100000, RUNTIME: 226.340000            
2025-11-04 14:40:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 296 done, running/pending 5/5 = ∑10/20, new result: VAL_ACC: 50.170000, RUNTIME: 227.827000            
2025-11-04 14:40:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 296 done, running/pending 5/5 = ∑10/20, new result: VAL_ACC: 50.360000, RUNTIME: 217.523000            
2025-11-04 14:42:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 302 done, completed/running 3/1 = ∑4/20, waiting for 10 jobs, finished 6 jobs                          
2025-11-04 14:42:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 302 done, completed/running 3/1 = ∑4/20, waiting for 4 jobs                                            
2025-11-04 14:42:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 302 done, completed/running 3/1 = ∑4/20, new result: VAL_ACC: 51.090000, RUNTIME: 216.096000           
2025-11-04 14:42:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 302 done, completed/running 3/1 = ∑4/20, new result: VAL_ACC: 52.970000, RUNTIME: 251.189000           
2025-11-04 14:42:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 302 done, completed/running 3/1 = ∑4/20, new result: VAL_ACC: 53.470000, RUNTIME: 219.670000           
2025-11-04 14:42:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 302 done, completed/running 3/1 = ∑4/20, new result: VAL_ACC: 53.670000, RUNTIME: 263.457000           
2025-11-04 14:43:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, waiting for 4 jobs, finished 4 jobs                                                          
2025-11-04 15:01:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #1/20                                                                     
2025-11-04 15:01:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #2/20                                                                     
2025-11-04 15:01:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #3/20                                                                     
2025-11-04 15:01:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #4/20                                                                     
2025-11-04 15:01:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #5/20                                                                     
2025-11-04 15:01:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #6/20                                                                     
2025-11-04 15:01:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #7/20                                                                     
2025-11-04 15:01:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #8/20                                                                     
2025-11-04 15:01:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #9/20                                                                     
2025-11-04 15:01:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #10/20                                                                    
2025-11-04 15:01:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #11/20                                                                    
2025-11-04 15:01:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #12/20                                                                    
2025-11-04 15:01:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #13/20                                                                    
2025-11-04 15:01:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #14/20                                                                    
2025-11-04 15:01:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #15/20                                                                    
2025-11-04 15:01:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #16/20                                                                    
2025-11-04 15:01:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #17/20                                                                    
2025-11-04 15:01:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #18/20                                                                    
2025-11-04 15:01:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #19/20                                                                    
2025-11-04 15:01:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, getting new HP set #20/20                                                                    
2025-11-04 15:01:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, requested 20 jobs, got 20, 52.43 s/job                                                       
2025-11-04 15:01:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #1/20 start                                                                             
2025-11-04 15:01:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #2/20 start                                                                             
2025-11-04 15:01:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #3/20 start                                                                             
2025-11-04 15:01:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #4/20 start                                                                             
2025-11-04 15:01:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #5/20 start                                                                             
2025-11-04 15:01:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #6/20 start                                                                             
2025-11-04 15:01:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #7/20 start                                                                             
2025-11-04 15:01:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #8/20 start                                                                             
2025-11-04 15:01:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #9/20 start                                                                             
2025-11-04 15:01:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #10/20 start                                                                            
2025-11-04 15:01:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #11/20 start                                                                            
2025-11-04 15:01:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #12/20 start                                                                            
2025-11-04 15:01:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #13/20 start                                                                            
2025-11-04 15:01:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #14/20 start                                                                            
2025-11-04 15:01:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #15/20 start                                                                            
2025-11-04 15:01:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #16/20 start                                                                            
2025-11-04 15:01:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #17/20 start                                                                            
2025-11-04 15:01:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #18/20 start                                                                            
2025-11-04 15:01:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #19/20 start                                                                            
2025-11-04 15:01:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, eval #20/20 start                                                                            
2025-11-04 15:01:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, starting new job                                                                             
2025-11-04 15:01:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, unknown 1 = ∑1/20, started new job                                                           
2025-11-04 15:01:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, unknown 1 = ∑1/20, starting new job                                                          
2025-11-04 15:01:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, pending/unknown 1/1 = ∑2/20, started new job                                                 
2025-11-04 15:01:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, pending/unknown 1/1 = ∑2/20, starting new job                                                
2025-11-04 15:01:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, pending/unknown 2/1 = ∑3/20, started new job                                                 
2025-11-04 15:01:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, pending/unknown 2/1 = ∑3/20, starting new job                                                
2025-11-04 15:01:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/unknown 3/2 = ∑5/20, started new job                                                 
2025-11-04 15:01:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/unknown 3/2 = ∑5/20, starting new job                                                
2025-11-04 15:02:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 3/2/1 = ∑6/20, started new job                                       
2025-11-04 15:02:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 3/3/1 = ∑7/20, started new job                                       
2025-11-04 15:02:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 3/4/1 = ∑8/20, started new job                                       
2025-11-04 15:02:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 3/5/1 = ∑9/20, started new job                                       
2025-11-04 15:02:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 3/7/1 = ∑11/20, started new job                                      
2025-11-04 15:02:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 5/6/2 = ∑13/20, started new job                                      
2025-11-04 15:02:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 5/8/1 = ∑14/20, started new job                                      
2025-11-04 15:02:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 5/9/2 = ∑16/20, started new job                                      
2025-11-04 15:02:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 5/11/1 = ∑17/20, started new job                                     
2025-11-04 15:02:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 5/12/1 = ∑18/20, started new job                                     
2025-11-04 15:02:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 5/13/1 = ∑19/20, started new job                                     
2025-11-04 15:02:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending/unknown 5/13/2 = ∑20/20, started new job                                     
2025-11-04 15:02:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending 6/14 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 15:03:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs                                          
2025-11-04 15:05:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending 12/8 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 15:05:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 306 done, running/pending 12/8 = ∑20/20, new result: VAL_ACC: 35.620000, RUNTIME: 228.369000           
2025-11-04 15:06:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 307 done, running/pending 11/8 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-04 15:06:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 307 done, running/pending 11/8 = ∑19/20, waiting for 19 jobs                                           
2025-11-04 15:06:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 307 done, running/pending 11/8 = ∑19/20, new result: VAL_ACC: 36.430000, RUNTIME: 223.914000           
2025-11-04 15:06:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 308 done, running/pending 10/8 = ∑18/20, waiting for 19 jobs, finished 1 job                           
2025-11-04 15:06:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 308 done, running/pending 10/8 = ∑18/20, waiting for 18 jobs                                           
2025-11-04 15:06:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 308 done, running/pending 10/8 = ∑18/20, new result: VAL_ACC: 48.760000, RUNTIME: 226.968000           
2025-11-04 15:07:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 309 done, running/pending 9/8 = ∑17/20, waiting for 18 jobs, finished 1 job                            
2025-11-04 15:07:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 309 done, running/pending 9/8 = ∑17/20, waiting for 17 jobs                                            
2025-11-04 15:07:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 309 done, running/pending 9/8 = ∑17/20, new result: VAL_ACC: 55.670000, RUNTIME: 286.709000            
2025-11-04 15:07:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 310 done, running/pending 8/8 = ∑16/20, waiting for 17 jobs, finished 1 job                            
2025-11-04 15:07:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 310 done, running/pending 8/8 = ∑16/20, waiting for 16 jobs                                            
2025-11-04 15:07:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 310 done, running/pending 8/8 = ∑16/20, new result: VAL_ACC: 53.630000, RUNTIME: 264.159000            
2025-11-04 15:07:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 310 done, running/pending 8/8 = ∑16/20, new result: VAL_ACC: 35.620000, RUNTIME: 228.445000            
2025-11-04 15:08:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 312 done, completed/running 1/13 = ∑14/20, waiting for 16 jobs, finished 2 jobs                        
2025-11-04 15:08:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 312 done, completed/running 1/13 = ∑14/20, waiting for 14 jobs                                         
2025-11-04 15:08:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 312 done, completed/running 1/13 = ∑14/20, new result: VAL_ACC: 57.680000, RUNTIME: 341.042000         
2025-11-04 15:08:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 313 done, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job                                     
2025-11-04 15:08:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 313 done, running 13 = ∑13/20, waiting for 13 jobs                                                     
2025-11-04 15:09:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 313 done, running 13 = ∑13/20, new result: VAL_ACC: 57.860000, RUNTIME: 324.573000                     
2025-11-04 15:09:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 314 done, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job                                     
2025-11-04 15:09:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 314 done, running 12 = ∑12/20, waiting for 12 jobs                                                     
2025-11-04 15:09:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 314 done, running 12 = ∑12/20, new result: VAL_ACC: 47.770000, RUNTIME: 228.135000                     
2025-11-04 15:09:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 315 done, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job                                     
2025-11-04 15:09:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 315 done, running 11 = ∑11/20, waiting for 11 jobs                                                     
2025-11-04 15:10:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 315 done, running 11 = ∑11/20, new result: VAL_ACC: 56.400000, RUNTIME: 355.493000                     
2025-11-04 15:10:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 316 done, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job                                     
2025-11-04 15:10:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 316 done, running 10 = ∑10/20, waiting for 10 jobs                                                     
2025-11-04 15:10:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 316 done, running 10 = ∑10/20, new result: VAL_ACC: 57.020000, RUNTIME: 349.036000                     
2025-11-04 15:10:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 316 done, running 10 = ∑10/20, new result: VAL_ACC: 60.030000, RUNTIME: 393.680000                     
2025-11-04 15:10:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 316 done, running 10 = ∑10/20, new result: VAL_ACC: 47.830000, RUNTIME: 221.648000                     
2025-11-04 15:10:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 316 done, running 10 = ∑10/20, new result: VAL_ACC: 37.600000, RUNTIME: 223.924000                     
2025-11-04 15:10:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 316 done, running 10 = ∑10/20, new result: VAL_ACC: 33.700000, RUNTIME: 218.260000                     
2025-11-04 15:12:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 321 done, running 5 = ∑5/20, waiting for 10 jobs, finished 5 jobs                                      
2025-11-04 15:12:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 321 done, running 5 = ∑5/20, waiting for 5 jobs                                                        
2025-11-04 15:12:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 321 done, running 5 = ∑5/20, new result: VAL_ACC: 43.900000, RUNTIME: 261.771000                       
2025-11-04 15:12:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 321 done, running 5 = ∑5/20, new result: VAL_ACC: 57.470000, RUNTIME: 333.486000                       
2025-11-04 15:12:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 321 done, running 5 = ∑5/20, new result: VAL_ACC: 55.740000, RUNTIME: 317.147000                       
2025-11-04 15:12:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 321 done, running 5 = ∑5/20, new result: VAL_ACC: 57.040000, RUNTIME: 325.399000                       
2025-11-04 15:13:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 325 done, running 1 = ∑1/20, waiting for 5 jobs, finished 4 jobs                                       
2025-11-04 15:13:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 325 done, running 1 = ∑1/20, waiting for 1 job                                                         
2025-11-04 15:13:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 325 done, running 1 = ∑1/20, new result: VAL_ACC: 57.260000, RUNTIME: 386.898000                       
2025-11-04 15:14:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, waiting for 1 job, finished 1 job                                                            
2025-11-04 15:32:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #1/20                                                                     
2025-11-04 15:32:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #2/20                                                                     
2025-11-04 15:32:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #3/20                                                                     
2025-11-04 15:32:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #4/20                                                                     
2025-11-04 15:32:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #5/20                                                                     
2025-11-04 15:32:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #6/20                                                                     
2025-11-04 15:32:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #7/20                                                                     
2025-11-04 15:32:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #8/20                                                                     
2025-11-04 15:32:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #9/20                                                                     
2025-11-04 15:32:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #10/20                                                                    
2025-11-04 15:32:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #11/20                                                                    
2025-11-04 15:32:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #12/20                                                                    
2025-11-04 15:32:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #13/20                                                                    
2025-11-04 15:32:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #14/20                                                                    
2025-11-04 15:32:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #15/20                                                                    
2025-11-04 15:32:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #16/20                                                                    
2025-11-04 15:32:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #17/20                                                                    
2025-11-04 15:32:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #18/20                                                                    
2025-11-04 15:32:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #19/20                                                                    
2025-11-04 15:33:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, getting new HP set #20/20                                                                    
2025-11-04 15:33:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, requested 20 jobs, got 20, 56.37 s/job                                                       
2025-11-04 15:33:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #1/20 start                                                                             
2025-11-04 15:33:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #2/20 start                                                                             
2025-11-04 15:33:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #3/20 start                                                                             
2025-11-04 15:33:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #4/20 start                                                                             
2025-11-04 15:33:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #5/20 start                                                                             
2025-11-04 15:33:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #6/20 start                                                                             
2025-11-04 15:33:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #7/20 start                                                                             
2025-11-04 15:33:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #8/20 start                                                                             
2025-11-04 15:33:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #9/20 start                                                                             
2025-11-04 15:33:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #10/20 start                                                                            
2025-11-04 15:33:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #11/20 start                                                                            
2025-11-04 15:33:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #12/20 start                                                                            
2025-11-04 15:33:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #13/20 start                                                                            
2025-11-04 15:33:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #14/20 start                                                                            
2025-11-04 15:33:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #15/20 start                                                                            
2025-11-04 15:33:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #16/20 start                                                                            
2025-11-04 15:33:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #17/20 start                                                                            
2025-11-04 15:33:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #18/20 start                                                                            
2025-11-04 15:33:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #19/20 start                                                                            
2025-11-04 15:33:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, eval #20/20 start                                                                            
2025-11-04 15:33:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, starting new job                                                                             
2025-11-04 15:33:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, unknown 3 = ∑3/20, started new job                                                           
2025-11-04 15:33:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, unknown 3 = ∑3/20, starting new job                                                          
2025-11-04 15:33:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 2/1/1 = ∑4/20, started new job                                       
2025-11-04 15:33:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 2/1/1 = ∑4/20, starting new job                                      
2025-11-04 15:33:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 2/2/1 = ∑5/20, started new job                                       
2025-11-04 15:33:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 2/3/3 = ∑8/20, started new job                                       
2025-11-04 15:33:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 2/6/2 = ∑10/20, started new job                                      
2025-11-04 15:33:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 2/8/3 = ∑13/20, started new job                                      
2025-11-04 15:33:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 2/11/3 = ∑16/20, started new job                                     
2025-11-04 15:34:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 3/13/1 = ∑17/20, started new job                                     
2025-11-04 15:34:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 3/14/2 = ∑19/20, started new job                                     
2025-11-04 15:34:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 3/16/1 = ∑20/20, started new job                                     
2025-11-04 15:34:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending/unknown 3/16/1 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 15:34:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending 3/17 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 15:34:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending 5/15 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 15:35:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending 6/14 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 15:36:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending 7/13 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 15:38:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending 17/3 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 15:40:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 326 done, running/pending 17/3 = ∑20/20, new result: VAL_ACC: 49.520000, RUNTIME: 236.919000           
2025-11-04 15:40:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 327 done, running/pending 16/3 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-04 15:40:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 327 done, running/pending 16/3 = ∑19/20, waiting for 19 jobs                                           
2025-11-04 15:40:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 327 done, running/pending 16/3 = ∑19/20, new result: VAL_ACC: 53.650000, RUNTIME: 413.434000           
2025-11-04 15:41:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 328 done, running/pending 15/3 = ∑18/20, waiting for 19 jobs, finished 1 job                           
2025-11-04 15:41:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 328 done, running/pending 15/3 = ∑18/20, waiting for 18 jobs                                           
2025-11-04 15:41:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 328 done, running/pending 15/3 = ∑18/20, new result: VAL_ACC: 54.510000, RUNTIME: 443.260000           
2025-11-04 15:41:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 329 done, running/pending 14/3 = ∑17/20, waiting for 18 jobs, finished 1 job                           
2025-11-04 15:41:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 329 done, running/pending 14/3 = ∑17/20, waiting for 17 jobs                                           
2025-11-04 15:42:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 329 done, running/pending 14/3 = ∑17/20, new result: VAL_ACC: 55.710000, RUNTIME: 414.714000           
2025-11-04 15:42:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 330 done, running/pending 13/3 = ∑16/20, waiting for 17 jobs, finished 1 job                           
2025-11-04 15:42:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 330 done, running/pending 13/3 = ∑16/20, waiting for 16 jobs                                           
2025-11-04 15:43:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 330 done, running 16 = ∑16/20, waiting for 16 jobs                                                     
2025-11-04 15:44:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 330 done, running 16 = ∑16/20, new result: VAL_ACC: 3.290000, RUNTIME: 218.614000                      
2025-11-04 15:44:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 331 done, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job                                     
2025-11-04 15:44:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 331 done, running 15 = ∑15/20, waiting for 15 jobs                                                     
2025-11-04 15:44:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 331 done, running 15 = ∑15/20, new result: VAL_ACC: 51.510000, RUNTIME: 235.044000                     
2025-11-04 15:44:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 331 done, running 15 = ∑15/20, new result: VAL_ACC: 51.300000, RUNTIME: 226.207000                     
2025-11-04 15:44:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 331 done, running 15 = ∑15/20, new result: VAL_ACC: 53.790000, RUNTIME: 227.973000                     
2025-11-04 15:45:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, waiting for 15 jobs, finished 3 jobs                                    
2025-11-04 15:45:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, waiting for 12 jobs                                                     
2025-11-04 15:45:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 52.360000, RUNTIME: 254.339000                     
2025-11-04 15:45:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 56.750000, RUNTIME: 256.935000                     
2025-11-04 15:45:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 53.730000, RUNTIME: 322.963000                     
2025-11-04 15:45:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 53.350000, RUNTIME: 259.456000                     
2025-11-04 15:45:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 55.240000, RUNTIME: 254.332000                     
2025-11-04 15:45:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 51.350000, RUNTIME: 286.176000                     
2025-11-04 15:45:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 55.160000, RUNTIME: 332.645000                     
2025-11-04 15:45:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 56.620000, RUNTIME: 250.941000                     
2025-11-04 15:45:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 334 done, running 12 = ∑12/20, new result: VAL_ACC: 54.300000, RUNTIME: 260.332000                     
2025-11-04 15:54:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 343 done, running/completed 2/1 = ∑3/20, waiting for 12 jobs, finished 9 jobs                          
2025-11-04 15:54:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 343 done, running/completed 2/1 = ∑3/20, waiting for 3 jobs                                            
2025-11-04 15:59:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 343 done, running/completed 2/1 = ∑3/20, new result: VAL_ACC: 57.260000, RUNTIME: 799.644000           
2025-11-04 15:59:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 343 done, running/completed 2/1 = ∑3/20, new result: VAL_ACC: 54.570000, RUNTIME: 368.186000           
2025-11-04 16:01:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 345 done, running 1 = ∑1/20, waiting for 3 jobs, finished 2 jobs                                       
2025-11-04 16:01:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 345 done, running 1 = ∑1/20, waiting for 1 job                                                         
2025-11-04 16:01:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 345 done, running 1 = ∑1/20, new result: VAL_ACC: 56.200000, RUNTIME: 536.990000                       
2025-11-04 16:02:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, waiting for 1 job, finished 1 job                                                            
2025-11-04 16:27:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #1/20                                                                     
2025-11-04 16:27:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #2/20                                                                     
2025-11-04 16:27:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #3/20                                                                     
2025-11-04 16:27:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #4/20                                                                     
2025-11-04 16:27:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #5/20                                                                     
2025-11-04 16:27:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #6/20                                                                     
2025-11-04 16:27:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #7/20                                                                     
2025-11-04 16:27:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #8/20                                                                     
2025-11-04 16:27:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #9/20                                                                     
2025-11-04 16:27:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #10/20                                                                    
2025-11-04 16:27:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #11/20                                                                    
2025-11-04 16:27:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #12/20                                                                    
2025-11-04 16:27:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #13/20                                                                    
2025-11-04 16:27:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #14/20                                                                    
2025-11-04 16:27:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #15/20                                                                    
2025-11-04 16:27:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #16/20                                                                    
2025-11-04 16:27:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #17/20                                                                    
2025-11-04 16:27:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #18/20                                                                    
2025-11-04 16:27:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #19/20                                                                    
2025-11-04 16:27:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, getting new HP set #20/20                                                                    
2025-11-04 16:27:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, requested 20 jobs, got 20, 73.96 s/job                                                       
2025-11-04 16:27:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #1/20 start                                                                             
2025-11-04 16:27:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #2/20 start                                                                             
2025-11-04 16:27:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #3/20 start                                                                             
2025-11-04 16:27:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #4/20 start                                                                             
2025-11-04 16:27:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #5/20 start                                                                             
2025-11-04 16:27:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #6/20 start                                                                             
2025-11-04 16:27:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #7/20 start                                                                             
2025-11-04 16:27:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #8/20 start                                                                             
2025-11-04 16:27:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #9/20 start                                                                             
2025-11-04 16:27:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #10/20 start                                                                            
2025-11-04 16:27:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #11/20 start                                                                            
2025-11-04 16:27:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #12/20 start                                                                            
2025-11-04 16:27:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #13/20 start                                                                            
2025-11-04 16:27:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #14/20 start                                                                            
2025-11-04 16:27:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #15/20 start                                                                            
2025-11-04 16:27:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #16/20 start                                                                            
2025-11-04 16:27:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #17/20 start                                                                            
2025-11-04 16:27:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #18/20 start                                                                            
2025-11-04 16:27:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #19/20 start                                                                            
2025-11-04 16:27:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, eval #20/20 start                                                                            
2025-11-04 16:27:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, starting new job                                                                             
2025-11-04 16:27:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, unknown 3 = ∑3/20, started new job                                                           
2025-11-04 16:27:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, unknown 3 = ∑3/20, starting new job                                                          
2025-11-04 16:27:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, unknown 5 = ∑5/20, started new job                                                           
2025-11-04 16:27:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, unknown 5 = ∑5/20, starting new job                                                          
2025-11-04 16:27:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending/unknown 5/1 = ∑6/20, started new job                                                 
2025-11-04 16:27:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending/unknown 5/2 = ∑7/20, started new job                                                 
2025-11-04 16:27:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending/unknown 7/2 = ∑9/20, started new job                                                 
2025-11-04 16:28:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending/unknown 9/2 = ∑11/20, started new job                                                
2025-11-04 16:28:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending/unknown 11/1 = ∑12/20, started new job                                               
2025-11-04 16:28:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending/unknown 11/2 = ∑13/20, started new job                                               
2025-11-04 16:28:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending/unknown 13/2 = ∑15/20, started new job                                               
2025-11-04 16:28:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending 16 = ∑16/20, started new job                                                         
2025-11-04 16:28:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending/unknown 16/3 = ∑19/20, started new job                                               
2025-11-04 16:28:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending 20 = ∑20/20, started new job                                                         
2025-11-04 16:28:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, pending 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-04 16:38:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, running/pending 7/13 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 16:43:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 346 done, running/pending 7/13 = ∑20/20, new result: VAL_ACC: 42.360000, RUNTIME: 329.959000           
2025-11-04 16:44:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-04 16:44:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, waiting for 19 jobs                                           
2025-11-04 16:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 39.120000, RUNTIME: 348.798000           
2025-11-04 16:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 38.700000, RUNTIME: 338.307000           
2025-11-04 16:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 41.350000, RUNTIME: 326.310000           
2025-11-04 16:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 30.240000, RUNTIME: 342.692000           
2025-11-04 16:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 24.930000, RUNTIME: 335.325000           
2025-11-04 16:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 31.260000, RUNTIME: 323.210000           
2025-11-04 16:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 41.600000, RUNTIME: 328.845000           
2025-11-04 16:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 347 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 43.560000, RUNTIME: 310.833000           
2025-11-04 16:50:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 355 done, completed/running 4/7 = ∑11/20, waiting for 19 jobs, finished 8 jobs                         
2025-11-04 16:50:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 355 done, completed/running 4/7 = ∑11/20, waiting for 11 jobs                                          
2025-11-04 16:50:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 355 done, completed/running 4/7 = ∑11/20, new result: VAL_ACC: 31.400000, RUNTIME: 362.750000          
2025-11-04 16:50:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 355 done, completed/running 4/7 = ∑11/20, new result: VAL_ACC: 32.160000, RUNTIME: 349.553000          
2025-11-04 16:50:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 355 done, completed/running 4/7 = ∑11/20, new result: VAL_ACC: 39.810000, RUNTIME: 330.682000          
2025-11-04 16:50:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 355 done, completed/running 4/7 = ∑11/20, new result: VAL_ACC: 46.700000, RUNTIME: 331.194000          
2025-11-04 16:53:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 359 done, running 7 = ∑7/20, waiting for 11 jobs, finished 4 jobs                                      
2025-11-04 16:53:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 359 done, running 7 = ∑7/20, waiting for 7 jobs                                                        
2025-11-04 16:54:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 359 done, running 7 = ∑7/20, new result: VAL_ACC: 39.240000, RUNTIME: 316.337000                       
2025-11-04 16:55:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 360 done, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job                                        
2025-11-04 16:55:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 360 done, running 6 = ∑6/20, waiting for 6 jobs                                                        
2025-11-04 16:55:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 360 done, running 6 = ∑6/20, new result: VAL_ACC: 43.170000, RUNTIME: 325.321000                       
2025-11-04 16:55:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 360 done, running 6 = ∑6/20, new result: VAL_ACC: 26.170000, RUNTIME: 324.801000                       
2025-11-04 16:55:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 360 done, running 6 = ∑6/20, new result: VAL_ACC: 39.920000, RUNTIME: 358.069000                       
2025-11-04 16:55:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 360 done, running 6 = ∑6/20, new result: VAL_ACC: 39.890000, RUNTIME: 354.461000                       
2025-11-04 16:55:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 360 done, running 6 = ∑6/20, new result: VAL_ACC: 41.390000, RUNTIME: 340.118000                       
2025-11-04 16:55:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 360 done, running 6 = ∑6/20, new result: VAL_ACC: 28.200000, RUNTIME: 350.816000                       
2025-11-04 17:00:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, waiting for 6 jobs, finished 6 jobs                                                          
2025-11-04 17:22:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #1/20                                                                     
2025-11-04 17:22:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #2/20                                                                     
2025-11-04 17:22:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #3/20                                                                     
2025-11-04 17:22:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #4/20                                                                     
2025-11-04 17:22:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #5/20                                                                     
2025-11-04 17:22:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #6/20                                                                     
2025-11-04 17:22:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #7/20                                                                     
2025-11-04 17:22:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #8/20                                                                     
2025-11-04 17:22:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #9/20                                                                     
2025-11-04 17:22:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #10/20                                                                    
2025-11-04 17:22:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #11/20                                                                    
2025-11-04 17:22:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #12/20                                                                    
2025-11-04 17:22:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #13/20                                                                    
2025-11-04 17:22:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #14/20                                                                    
2025-11-04 17:22:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #15/20                                                                    
2025-11-04 17:22:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #16/20                                                                    
2025-11-04 17:22:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #17/20                                                                    
2025-11-04 17:22:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #18/20                                                                    
2025-11-04 17:22:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #19/20                                                                    
2025-11-04 17:22:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, getting new HP set #20/20                                                                    
2025-11-04 17:22:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, requested 20 jobs, got 20, 67.01 s/job                                                       
2025-11-04 17:23:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #1/20 start                                                                             
2025-11-04 17:23:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #2/20 start                                                                             
2025-11-04 17:23:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #3/20 start                                                                             
2025-11-04 17:23:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #4/20 start                                                                             
2025-11-04 17:23:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #5/20 start                                                                             
2025-11-04 17:23:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #6/20 start                                                                             
2025-11-04 17:23:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #7/20 start                                                                             
2025-11-04 17:23:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #8/20 start                                                                             
2025-11-04 17:23:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #9/20 start                                                                             
2025-11-04 17:23:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #10/20 start                                                                            
2025-11-04 17:23:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #11/20 start                                                                            
2025-11-04 17:23:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #12/20 start                                                                            
2025-11-04 17:23:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #13/20 start                                                                            
2025-11-04 17:23:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #14/20 start                                                                            
2025-11-04 17:23:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #15/20 start                                                                            
2025-11-04 17:23:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #16/20 start                                                                            
2025-11-04 17:23:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #17/20 start                                                                            
2025-11-04 17:23:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #18/20 start                                                                            
2025-11-04 17:23:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #19/20 start                                                                            
2025-11-04 17:23:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, eval #20/20 start                                                                            
2025-11-04 17:23:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, starting new job                                                                             
2025-11-04 17:23:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, unknown 1 = ∑1/20, starting new job                                                          
2025-11-04 17:23:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, unknown 2 = ∑2/20, started new job                                                           
2025-11-04 17:23:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, unknown 3 = ∑3/20, started new job                                                           
2025-11-04 17:23:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, unknown 3 = ∑3/20, starting new job                                                          
2025-11-04 17:23:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, unknown 3 = ∑3/20, started new job                                                           
2025-11-04 17:23:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, unknown 3 = ∑3/20, starting new job                                                          
2025-11-04 17:23:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 3/3 = ∑6/20, started new job                                                 
2025-11-04 17:23:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 3/3 = ∑6/20, starting new job                                                
2025-11-04 17:23:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 6/1 = ∑7/20, started new job                                                 
2025-11-04 17:23:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 6/2 = ∑8/20, started new job                                                 
2025-11-04 17:23:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 8/1 = ∑9/20, started new job                                                 
2025-11-04 17:23:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 8/2 = ∑10/20, started new job                                                
2025-11-04 17:23:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 8/3 = ∑11/20, started new job                                                
2025-11-04 17:23:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 11/3 = ∑14/20, started new job                                               
2025-11-04 17:24:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 14/2 = ∑16/20, started new job                                               
2025-11-04 17:24:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 16/2 = ∑18/20, started new job                                               
2025-11-04 17:24:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending 19 = ∑19/20, started new job                                                         
2025-11-04 17:24:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 19/1 = ∑20/20, started new job                                               
2025-11-04 17:24:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending/unknown 19/1 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 17:24:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-04 17:39:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending 20 = ∑20/20, new result: VAL_ACC: 25.050000, RUNTIME: 209.861000                     
2025-11-04 17:39:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 366 done, pending 20 = ∑20/20, new result: VAL_ACC: 28.260000, RUNTIME: 204.955000                     
2025-11-04 17:41:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, waiting for 20 jobs, finished 2 jobs                                    
2025-11-04 17:41:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, waiting for 18 jobs                                                     
2025-11-04 17:41:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 53.610000, RUNTIME: 219.302000                     
2025-11-04 17:41:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 54.100000, RUNTIME: 220.941000                     
2025-11-04 17:41:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 44.340000, RUNTIME: 213.196000                     
2025-11-04 17:41:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 52.860000, RUNTIME: 218.720000                     
2025-11-04 17:41:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 50.540000, RUNTIME: 224.094000                     
2025-11-04 17:41:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 42.660000, RUNTIME: 209.885000                     
2025-11-04 17:41:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 51.160000, RUNTIME: 213.652000                     
2025-11-04 17:41:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 50.620000, RUNTIME: 227.901000                     
2025-11-04 17:41:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 48.730000, RUNTIME: 231.982000                     
2025-11-04 17:41:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 368 done, pending 18 = ∑18/20, new result: VAL_ACC: 49.040000, RUNTIME: 235.141000                     
2025-11-04 17:49:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, waiting for 18 jobs, finished 10 jobs                                   
2025-11-04 17:49:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, waiting for 8 jobs                                                      
2025-11-04 17:49:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, new result: VAL_ACC: 50.960000, RUNTIME: 240.154000                     
2025-11-04 17:49:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, new result: VAL_ACC: 49.920000, RUNTIME: 225.759000                     
2025-11-04 17:49:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, new result: VAL_ACC: 49.920000, RUNTIME: 224.199000                     
2025-11-04 17:49:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, new result: VAL_ACC: 50.100000, RUNTIME: 243.746000                     
2025-11-04 17:49:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, new result: VAL_ACC: 49.570000, RUNTIME: 220.162000                     
2025-11-04 17:49:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, new result: VAL_ACC: 47.700000, RUNTIME: 214.995000                     
2025-11-04 17:49:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, new result: VAL_ACC: 47.090000, RUNTIME: 221.373000                     
2025-11-04 17:49:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 378 done, completed 8 = ∑8/20, new result: VAL_ACC: 51.420000, RUNTIME: 225.327000                     
2025-11-04 17:55:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, waiting for 8 jobs, finished 8 jobs                                                          
2025-11-04 18:20:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #1/20                                                                     
2025-11-04 18:20:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #2/20                                                                     
2025-11-04 18:20:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #3/20                                                                     
2025-11-04 18:20:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #4/20                                                                     
2025-11-04 18:20:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #5/20                                                                     
2025-11-04 18:20:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #6/20                                                                     
2025-11-04 18:20:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #7/20                                                                     
2025-11-04 18:20:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #8/20                                                                     
2025-11-04 18:20:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #9/20                                                                     
2025-11-04 18:20:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #10/20                                                                    
2025-11-04 18:20:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #11/20                                                                    
2025-11-04 18:20:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #12/20                                                                    
2025-11-04 18:20:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #13/20                                                                    
2025-11-04 18:20:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #14/20                                                                    
2025-11-04 18:20:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #15/20                                                                    
2025-11-04 18:20:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #16/20                                                                    
2025-11-04 18:20:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #17/20                                                                    
2025-11-04 18:20:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #18/20                                                                    
2025-11-04 18:20:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #19/20                                                                    
2025-11-04 18:20:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, getting new HP set #20/20                                                                    
2025-11-04 18:20:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, requested 20 jobs, got 20, 75.28 s/job                                                       
2025-11-04 18:20:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #1/20 start                                                                             
2025-11-04 18:20:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #2/20 start                                                                             
2025-11-04 18:20:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #3/20 start                                                                             
2025-11-04 18:20:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #4/20 start                                                                             
2025-11-04 18:20:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #5/20 start                                                                             
2025-11-04 18:20:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #6/20 start                                                                             
2025-11-04 18:20:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #7/20 start                                                                             
2025-11-04 18:20:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #8/20 start                                                                             
2025-11-04 18:20:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #9/20 start                                                                             
2025-11-04 18:20:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #10/20 start                                                                            
2025-11-04 18:20:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #11/20 start                                                                            
2025-11-04 18:20:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #12/20 start                                                                            
2025-11-04 18:21:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #13/20 start                                                                            
2025-11-04 18:21:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #14/20 start                                                                            
2025-11-04 18:21:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #15/20 start                                                                            
2025-11-04 18:21:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #16/20 start                                                                            
2025-11-04 18:21:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #17/20 start                                                                            
2025-11-04 18:21:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #18/20 start                                                                            
2025-11-04 18:21:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #19/20 start                                                                            
2025-11-04 18:21:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, eval #20/20 start                                                                            
2025-11-04 18:21:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, starting new job                                                                             
2025-11-04 18:21:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, unknown 1 = ∑1/20, starting new job                                                          
2025-11-04 18:21:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, unknown 1 = ∑1/20, started new job                                                           
2025-11-04 18:21:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, unknown 1 = ∑1/20, starting new job                                                          
2025-11-04 18:21:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending 1 = ∑1/20, starting new job                                                          
2025-11-04 18:21:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 1/1 = ∑2/20, started new job                                                 
2025-11-04 18:21:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 1/1 = ∑2/20, starting new job                                                
2025-11-04 18:21:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 2/1 = ∑3/20, started new job                                                 
2025-11-04 18:21:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 2/1 = ∑3/20, starting new job                                                
2025-11-04 18:21:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 2/2 = ∑4/20, started new job                                                 
2025-11-04 18:21:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending 4 = ∑4/20, starting new job                                                          
2025-11-04 18:21:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 4/1 = ∑5/20, started new job                                                 
2025-11-04 18:21:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 5/2 = ∑7/20, started new job                                                 
2025-11-04 18:21:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 7/1 = ∑8/20, started new job                                                 
2025-11-04 18:21:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 8/1 = ∑9/20, started new job                                                 
2025-11-04 18:21:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 9/2 = ∑11/20, started new job                                                
2025-11-04 18:22:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 11/1 = ∑12/20, started new job                                               
2025-11-04 18:22:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 12/2 = ∑14/20, started new job                                               
2025-11-04 18:22:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 14/1 = ∑15/20, started new job                                               
2025-11-04 18:22:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 15/1 = ∑16/20, started new job                                               
2025-11-04 18:22:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 16/2 = ∑18/20, started new job                                               
2025-11-04 18:22:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 18/2 = ∑20/20, started new job                                               
2025-11-04 18:22:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending/unknown 18/2 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 18:22:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, pending 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-04 18:28:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, running/pending 14/6 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 18:29:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 386 done, running/pending 14/6 = ∑20/20, new result: VAL_ACC: 36.520000, RUNTIME: 214.966000           
2025-11-04 18:30:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 387 done, running/pending 13/6 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-04 18:30:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 387 done, running/pending 13/6 = ∑19/20, waiting for 19 jobs                                           
2025-11-04 18:30:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 387 done, running/pending 13/6 = ∑19/20, new result: VAL_ACC: 53.300000, RUNTIME: 227.974000           
2025-11-04 18:30:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 387 done, running/pending 13/6 = ∑19/20, new result: VAL_ACC: 35.660000, RUNTIME: 223.238000           
2025-11-04 18:30:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 387 done, running/pending 13/6 = ∑19/20, new result: VAL_ACC: 29.160000, RUNTIME: 219.501000           
2025-11-04 18:30:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 387 done, running/pending 13/6 = ∑19/20, new result: VAL_ACC: 54.950000, RUNTIME: 280.437000           
2025-11-04 18:34:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, waiting for 19 jobs, finished 4 jobs                           
2025-11-04 18:34:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, waiting for 15 jobs                                            
2025-11-04 18:34:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 28.220000, RUNTIME: 219.587000            
2025-11-04 18:34:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 55.840000, RUNTIME: 316.879000            
2025-11-04 18:34:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 29.270000, RUNTIME: 230.246000            
2025-11-04 18:34:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 56.840000, RUNTIME: 288.384000            
2025-11-04 18:34:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 52.670000, RUNTIME: 285.919000            
2025-11-04 18:34:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 27.300000, RUNTIME: 213.429000            
2025-11-04 18:34:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 54.880000, RUNTIME: 445.366000            
2025-11-04 18:34:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 30.860000, RUNTIME: 213.179000            
2025-11-04 18:34:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 54.710000, RUNTIME: 278.395000            
2025-11-04 18:34:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 22.690000, RUNTIME: 229.552000            
2025-11-04 18:34:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 55.420000, RUNTIME: 297.746000            
2025-11-04 18:34:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 391 done, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 18.450000, RUNTIME: 259.156000            
2025-11-04 18:44:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 403 done, completed 3 = ∑3/20, waiting for 15 jobs, finished 12 jobs                                   
2025-11-04 18:44:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 403 done, completed 3 = ∑3/20, waiting for 3 jobs                                                      
2025-11-04 18:44:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 403 done, completed 3 = ∑3/20, new result: VAL_ACC: 56.060000, RUNTIME: 347.777000                     
2025-11-04 18:44:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 403 done, completed 3 = ∑3/20, new result: VAL_ACC: 55.850000, RUNTIME: 628.901000                     
2025-11-04 18:44:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 403 done, completed 3 = ∑3/20, new result: VAL_ACC: 59.790000, RUNTIME: 373.073000                     
2025-11-04 18:47:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, waiting for 3 jobs, finished 3 jobs                                                          
2025-11-04 19:23:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #1/20                                                                     
2025-11-04 19:23:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #2/20                                                                     
2025-11-04 19:23:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #3/20                                                                     
2025-11-04 19:23:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #4/20                                                                     
2025-11-04 19:23:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #5/20                                                                     
2025-11-04 19:23:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #6/20                                                                     
2025-11-04 19:23:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #7/20                                                                     
2025-11-04 19:23:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #8/20                                                                     
2025-11-04 19:23:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #9/20                                                                     
2025-11-04 19:23:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #10/20                                                                    
2025-11-04 19:23:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #11/20                                                                    
2025-11-04 19:23:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #12/20                                                                    
2025-11-04 19:23:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #13/20                                                                    
2025-11-04 19:23:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #14/20                                                                    
2025-11-04 19:23:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #15/20                                                                    
2025-11-04 19:23:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #16/20                                                                    
2025-11-04 19:23:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #17/20                                                                    
2025-11-04 19:23:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #18/20                                                                    
2025-11-04 19:23:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #19/20                                                                    
2025-11-04 19:23:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, getting new HP set #20/20                                                                    
2025-11-04 19:23:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, requested 20 jobs, got 20, 108.76 s/job                                                      
2025-11-04 19:23:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #1/20 start                                                                             
2025-11-04 19:23:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #2/20 start                                                                             
2025-11-04 19:23:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #3/20 start                                                                             
2025-11-04 19:23:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #4/20 start                                                                             
2025-11-04 19:24:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #5/20 start                                                                             
2025-11-04 19:24:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #6/20 start                                                                             
2025-11-04 19:24:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #7/20 start                                                                             
2025-11-04 19:24:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #8/20 start                                                                             
2025-11-04 19:24:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #9/20 start                                                                             
2025-11-04 19:24:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #10/20 start                                                                            
2025-11-04 19:24:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #11/20 start                                                                            
2025-11-04 19:24:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #12/20 start                                                                            
2025-11-04 19:24:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #13/20 start                                                                            
2025-11-04 19:24:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #14/20 start                                                                            
2025-11-04 19:24:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #15/20 start                                                                            
2025-11-04 19:24:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #16/20 start                                                                            
2025-11-04 19:24:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #17/20 start                                                                            
2025-11-04 19:24:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #18/20 start                                                                            
2025-11-04 19:24:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #19/20 start                                                                            
2025-11-04 19:24:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, eval #20/20 start                                                                            
2025-11-04 19:24:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, starting new job                                                                             
2025-11-04 19:24:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, unknown 3 = ∑3/20, started new job                                                           
2025-11-04 19:24:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, unknown 3 = ∑3/20, starting new job                                                          
2025-11-04 19:24:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, pending/unknown 3/1 = ∑4/20, started new job                                                 
2025-11-04 19:24:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, pending/unknown 3/1 = ∑4/20, starting new job                                                
2025-11-04 19:24:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, pending/unknown 3/2 = ∑5/20, started new job                                                 
2025-11-04 19:24:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, pending/unknown 5/2 = ∑7/20, started new job                                                 
2025-11-04 19:24:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending/unknown 4/3/2 = ∑9/20, started new job                                       
2025-11-04 19:24:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending/unknown 4/5/2 = ∑11/20, started new job                                      
2025-11-04 19:24:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending/unknown 4/7/2 = ∑13/20, started new job                                      
2025-11-04 19:24:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending/unknown 4/9/4 = ∑17/20, started new job                                      
2025-11-04 19:24:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending/unknown 4/9/5 = ∑18/20, started new job                                      
2025-11-04 19:25:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending/unknown 4/9/7 = ∑20/20, started new job                                      
2025-11-04 19:25:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending/unknown 4/9/7 = ∑20/20, waiting for 20 jobs                                  
2025-11-04 19:25:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending 6/14 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 19:25:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending 11/9 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 19:26:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running/pending 13/7 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 19:27:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-04 19:28:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 406 done, running 20 = ∑20/20, new result: VAL_ACC: 52.620000, RUNTIME: 222.357000                     
2025-11-04 19:29:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 407 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-04 19:29:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 407 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-04 19:29:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 407 done, running 19 = ∑19/20, new result: VAL_ACC: 52.750000, RUNTIME: 225.974000                     
2025-11-04 19:29:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 407 done, running 19 = ∑19/20, new result: VAL_ACC: 50.620000, RUNTIME: 231.131000                     
2025-11-04 19:29:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 407 done, running 19 = ∑19/20, new result: VAL_ACC: 52.240000, RUNTIME: 224.356000                     
2025-11-04 19:29:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 407 done, running 19 = ∑19/20, new result: VAL_ACC: 52.520000, RUNTIME: 219.274000                     
2025-11-04 19:29:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 407 done, running 19 = ∑19/20, new result: VAL_ACC: 51.750000, RUNTIME: 224.485000                     
2025-11-04 19:29:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 407 done, running 19 = ∑19/20, new result: VAL_ACC: 51.700000, RUNTIME: 226.875000                     
2025-11-04 19:29:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 407 done, running 19 = ∑19/20, new result: VAL_ACC: 52.360000, RUNTIME: 219.470000                     
2025-11-04 19:36:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, waiting for 19 jobs, finished 7 jobs                                  
2025-11-04 19:36:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, waiting for 12 jobs                                                   
2025-11-04 19:36:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 49.810000, RUNTIME: 219.916000                   
2025-11-04 19:36:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 52.510000, RUNTIME: 222.954000                   
2025-11-04 19:36:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 52.260000, RUNTIME: 241.172000                   
2025-11-04 19:36:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 49.970000, RUNTIME: 216.918000                   
2025-11-04 19:36:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 51.370000, RUNTIME: 244.570000                   
2025-11-04 19:36:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 50.170000, RUNTIME: 217.217000                   
2025-11-04 19:36:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 52.350000, RUNTIME: 214.053000                   
2025-11-04 19:36:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 49.160000, RUNTIME: 216.905000                   
2025-11-04 19:36:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 49.870000, RUNTIME: 211.499000                   
2025-11-04 19:36:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 51.870000, RUNTIME: 223.099000                   
2025-11-04 19:36:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 50.970000, RUNTIME: 217.631000                   
2025-11-04 19:36:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 414 done, completed 12 = ∑12/20, new result: VAL_ACC: 52.470000, RUNTIME: 225.606000                   
2025-11-04 19:46:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, waiting for 12 jobs, finished 12 jobs                                                        
2025-11-04 20:18:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #1/20                                                                     
2025-11-04 20:18:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #2/20                                                                     
2025-11-04 20:18:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #3/20                                                                     
2025-11-04 20:18:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #4/20                                                                     
2025-11-04 20:18:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #5/20                                                                     
2025-11-04 20:18:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #6/20                                                                     
2025-11-04 20:18:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #7/20                                                                     
2025-11-04 20:18:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #8/20                                                                     
2025-11-04 20:18:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #9/20                                                                     
2025-11-04 20:18:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #10/20                                                                    
2025-11-04 20:18:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #11/20                                                                    
2025-11-04 20:18:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #12/20                                                                    
2025-11-04 20:18:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #13/20                                                                    
2025-11-04 20:18:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #14/20                                                                    
2025-11-04 20:18:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #15/20                                                                    
2025-11-04 20:18:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #16/20                                                                    
2025-11-04 20:18:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #17/20                                                                    
2025-11-04 20:18:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #18/20                                                                    
2025-11-04 20:18:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #19/20                                                                    
2025-11-04 20:18:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, getting new HP set #20/20                                                                    
2025-11-04 20:18:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, requested 20 jobs, got 20, 96.58 s/job                                                       
2025-11-04 20:18:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #1/20 start                                                                             
2025-11-04 20:18:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #2/20 start                                                                             
2025-11-04 20:18:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #3/20 start                                                                             
2025-11-04 20:18:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #4/20 start                                                                             
2025-11-04 20:18:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #5/20 start                                                                             
2025-11-04 20:18:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #6/20 start                                                                             
2025-11-04 20:18:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #7/20 start                                                                             
2025-11-04 20:18:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #8/20 start                                                                             
2025-11-04 20:19:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #9/20 start                                                                             
2025-11-04 20:19:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #10/20 start                                                                            
2025-11-04 20:19:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #11/20 start                                                                            
2025-11-04 20:19:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #12/20 start                                                                            
2025-11-04 20:19:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #13/20 start                                                                            
2025-11-04 20:19:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #14/20 start                                                                            
2025-11-04 20:19:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #15/20 start                                                                            
2025-11-04 20:19:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #16/20 start                                                                            
2025-11-04 20:19:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #17/20 start                                                                            
2025-11-04 20:19:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #18/20 start                                                                            
2025-11-04 20:19:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #19/20 start                                                                            
2025-11-04 20:19:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, eval #20/20 start                                                                            
2025-11-04 20:19:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, starting new job                                                                             
2025-11-04 20:19:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, unknown 1 = ∑1/20, started new job                                                           
2025-11-04 20:19:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, unknown 1 = ∑1/20, starting new job                                                          
2025-11-04 20:19:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 1/1 = ∑2/20, started new job                                                 
2025-11-04 20:19:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 1/1 = ∑2/20, starting new job                                                
2025-11-04 20:19:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 2/1 = ∑3/20, started new job                                                 
2025-11-04 20:19:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 2/1 = ∑3/20, starting new job                                                
2025-11-04 20:19:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 3/1 = ∑4/20, started new job                                                 
2025-11-04 20:19:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 3/1 = ∑4/20, starting new job                                                
2025-11-04 20:19:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 4/1 = ∑5/20, started new job                                                 
2025-11-04 20:19:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 5/1 = ∑6/20, started new job                                                 
2025-11-04 20:19:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 6/1 = ∑7/20, started new job                                                 
2025-11-04 20:19:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 7/1 = ∑8/20, started new job                                                 
2025-11-04 20:19:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 8/1 = ∑9/20, started new job                                                 
2025-11-04 20:19:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 9/1 = ∑10/20, started new job                                                
2025-11-04 20:20:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 10/2 = ∑12/20, started new job                                               
2025-11-04 20:20:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 12/1 = ∑13/20, started new job                                               
2025-11-04 20:20:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 13/1 = ∑14/20, started new job                                               
2025-11-04 20:20:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 14/1 = ∑15/20, started new job                                               
2025-11-04 20:20:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 15/1 = ∑16/20, started new job                                               
2025-11-04 20:20:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 16/1 = ∑17/20, started new job                                               
2025-11-04 20:20:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 17/1 = ∑18/20, started new job                                               
2025-11-04 20:20:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 18/1 = ∑19/20, started new job                                               
2025-11-04 20:20:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 19/1 = ∑20/20, started new job                                               
2025-11-04 20:21:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending/unknown 19/1 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 20:21:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, pending 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-04 20:27:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, running/pending 7/13 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 20:30:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 426 done, running/pending 7/13 = ∑20/20, new result: VAL_ACC: 57.390000, RUNTIME: 268.355000           
2025-11-04 20:31:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 427 done, running/pending 6/13 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-04 20:31:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 427 done, running/pending 6/13 = ∑19/20, waiting for 19 jobs                                           
2025-11-04 20:31:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 427 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 57.270000, RUNTIME: 299.809000           
2025-11-04 20:31:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 427 done, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 41.090000, RUNTIME: 244.501000           
2025-11-04 20:33:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 429 done, running/pending 4/13 = ∑17/20, waiting for 19 jobs, finished 2 jobs                          
2025-11-04 20:33:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 429 done, running/pending 4/13 = ∑17/20, waiting for 17 jobs                                           
2025-11-04 20:33:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 429 done, running/pending 4/13 = ∑17/20, new result: VAL_ACC: 46.110000, RUNTIME: 251.444000           
2025-11-04 20:33:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 429 done, running/pending 4/13 = ∑17/20, new result: VAL_ACC: 57.850000, RUNTIME: 302.981000           
2025-11-04 20:33:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 429 done, running/pending 4/13 = ∑17/20, new result: VAL_ACC: 54.380000, RUNTIME: 238.217000           
2025-11-04 20:33:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 429 done, running/pending 4/13 = ∑17/20, new result: VAL_ACC: 58.080000, RUNTIME: 303.091000           
2025-11-04 20:33:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 429 done, running/pending 4/13 = ∑17/20, new result: VAL_ACC: 28.520000, RUNTIME: 221.302000           
2025-11-04 20:33:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 429 done, running/pending 4/13 = ∑17/20, new result: VAL_ACC: 39.860000, RUNTIME: 225.312000           
2025-11-04 20:38:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, waiting for 17 jobs, finished 6 jobs                         
2025-11-04 20:38:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, waiting for 11 jobs                                          
2025-11-04 20:38:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 59.440000, RUNTIME: 383.510000          
2025-11-04 20:38:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 56.310000, RUNTIME: 349.989000          
2025-11-04 20:38:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 58.140000, RUNTIME: 338.413000          
2025-11-04 20:38:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 58.460000, RUNTIME: 352.864000          
2025-11-04 20:38:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 57.950000, RUNTIME: 304.051000          
2025-11-04 20:38:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 19.550000, RUNTIME: 234.159000          
2025-11-04 20:38:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 58.780000, RUNTIME: 331.610000          
2025-11-04 20:38:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 29.010000, RUNTIME: 210.020000          
2025-11-04 20:38:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 57.900000, RUNTIME: 307.156000          
2025-11-04 20:38:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 435 done, completed/running 5/6 = ∑11/20, new result: VAL_ACC: 57.330000, RUNTIME: 328.807000          
2025-11-04 20:46:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 445 done, completed 1 = ∑1/20, waiting for 11 jobs, finished 10 jobs                                   
2025-11-04 20:46:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 445 done, completed 1 = ∑1/20, waiting for 1 job                                                       
2025-11-04 20:46:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 445 done, completed 1 = ∑1/20, new result: VAL_ACC: 59.240000, RUNTIME: 387.099000                     
2025-11-04 20:47:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, waiting for 1 job, finished 1 job                                                            
2025-11-04 21:20:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #1/20                                                                     
2025-11-04 21:20:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #2/20                                                                     
2025-11-04 21:20:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #3/20                                                                     
2025-11-04 21:20:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #4/20                                                                     
2025-11-04 21:20:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #5/20                                                                     
2025-11-04 21:20:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #6/20                                                                     
2025-11-04 21:20:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #7/20                                                                     
2025-11-04 21:20:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #8/20                                                                     
2025-11-04 21:20:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #9/20                                                                     
2025-11-04 21:20:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #10/20                                                                    
2025-11-04 21:20:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #11/20                                                                    
2025-11-04 21:20:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #12/20                                                                    
2025-11-04 21:20:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #13/20                                                                    
2025-11-04 21:20:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #14/20                                                                    
2025-11-04 21:20:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #15/20                                                                    
2025-11-04 21:20:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #16/20                                                                    
2025-11-04 21:20:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #17/20                                                                    
2025-11-04 21:20:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #18/20                                                                    
2025-11-04 21:20:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #19/20                                                                    
2025-11-04 21:20:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, getting new HP set #20/20                                                                    
2025-11-04 21:20:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, requested 20 jobs, got 20, 98.94 s/job                                                       
2025-11-04 21:20:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #1/20 start                                                                             
2025-11-04 21:20:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #2/20 start                                                                             
2025-11-04 21:20:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #3/20 start                                                                             
2025-11-04 21:20:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #4/20 start                                                                             
2025-11-04 21:20:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #5/20 start                                                                             
2025-11-04 21:20:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #6/20 start                                                                             
2025-11-04 21:20:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #7/20 start                                                                             
2025-11-04 21:20:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #8/20 start                                                                             
2025-11-04 21:20:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #9/20 start                                                                             
2025-11-04 21:20:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #10/20 start                                                                            
2025-11-04 21:20:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #11/20 start                                                                            
2025-11-04 21:20:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #12/20 start                                                                            
2025-11-04 21:20:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #13/20 start                                                                            
2025-11-04 21:20:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #14/20 start                                                                            
2025-11-04 21:20:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #15/20 start                                                                            
2025-11-04 21:20:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #16/20 start                                                                            
2025-11-04 21:20:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #17/20 start                                                                            
2025-11-04 21:20:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #18/20 start                                                                            
2025-11-04 21:20:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #19/20 start                                                                            
2025-11-04 21:20:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, eval #20/20 start                                                                            
2025-11-04 21:20:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, starting new job                                                                             
2025-11-04 21:20:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, unknown 1 = ∑1/20, started new job                                                           
2025-11-04 21:20:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, unknown 1 = ∑1/20, starting new job                                                          
2025-11-04 21:20:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 1/1 = ∑2/20, started new job                                                 
2025-11-04 21:20:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 1/1 = ∑2/20, starting new job                                                
2025-11-04 21:20:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 2/2 = ∑4/20, started new job                                                 
2025-11-04 21:20:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 2/2 = ∑4/20, starting new job                                                
2025-11-04 21:21:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 4/2 = ∑6/20, started new job                                                 
2025-11-04 21:21:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 6/1 = ∑7/20, started new job                                                 
2025-11-04 21:21:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 7/1 = ∑8/20, started new job                                                 
2025-11-04 21:21:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 7/2 = ∑9/20, started new job                                                 
2025-11-04 21:21:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 9/3 = ∑12/20, started new job                                                
2025-11-04 21:21:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 12/1 = ∑13/20, started new job                                               
2025-11-04 21:21:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 13/1 = ∑14/20, started new job                                               
2025-11-04 21:21:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 14/2 = ∑16/20, started new job                                               
2025-11-04 21:21:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 16/2 = ∑18/20, started new job                                               
2025-11-04 21:21:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 18/2 = ∑20/20, started new job                                               
2025-11-04 21:21:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending/unknown 18/2 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 21:21:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, pending 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-04 21:22:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, running/pending 2/18 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 21:23:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, running/pending 6/14 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 21:24:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, running/pending 8/12 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 21:26:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 446 done, running/pending 8/12 = ∑20/20, new result: VAL_ACC: 48.810000, RUNTIME: 229.671000           
2025-11-04 21:27:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 447 done, running/pending 7/12 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-04 21:27:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 447 done, running/pending 7/12 = ∑19/20, waiting for 19 jobs                                           
2025-11-04 21:27:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 447 done, running/pending 7/12 = ∑19/20, new result: VAL_ACC: 56.920000, RUNTIME: 220.284000           
2025-11-04 21:27:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 447 done, running/pending 7/12 = ∑19/20, new result: VAL_ACC: 54.820000, RUNTIME: 238.556000           
2025-11-04 21:29:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 449 done, running 17 = ∑17/20, waiting for 19 jobs, finished 2 jobs                                    
2025-11-04 21:29:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 449 done, running 17 = ∑17/20, waiting for 17 jobs                                                     
2025-11-04 21:29:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 449 done, running 17 = ∑17/20, new result: VAL_ACC: 57.600000, RUNTIME: 265.540000                     
2025-11-04 21:29:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 449 done, running 17 = ∑17/20, new result: VAL_ACC: 59.350000, RUNTIME: 394.196000                     
2025-11-04 21:30:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 451 done, running 15 = ∑15/20, waiting for 17 jobs, finished 2 jobs                                    
2025-11-04 21:30:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 451 done, running 15 = ∑15/20, waiting for 15 jobs                                                     
2025-11-04 21:30:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 451 done, running 15 = ∑15/20, new result: VAL_ACC: 63.160000, RUNTIME: 411.985000                     
2025-11-04 21:31:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 451 done, running 15 = ∑15/20, new result: VAL_ACC: 56.380000, RUNTIME: 377.973000                     
2025-11-04 21:31:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 451 done, running 15 = ∑15/20, new result: VAL_ACC: 59.560000, RUNTIME: 403.641000                     
2025-11-04 21:31:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 451 done, running 15 = ∑15/20, new result: VAL_ACC: 56.470000, RUNTIME: 266.996000                     
2025-11-04 21:31:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 451 done, running 15 = ∑15/20, new result: VAL_ACC: 55.250000, RUNTIME: 253.778000                     
2025-11-04 21:31:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 451 done, running 15 = ∑15/20, new result: VAL_ACC: 53.480000, RUNTIME: 229.870000                     
2025-11-04 21:31:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 451 done, running 15 = ∑15/20, new result: VAL_ACC: 53.180000, RUNTIME: 235.958000                     
2025-11-04 21:37:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, waiting for 15 jobs, finished 7 jobs                          
2025-11-04 21:37:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, waiting for 8 jobs                                            
2025-11-04 21:37:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, new result: VAL_ACC: 56.860000, RUNTIME: 541.028000           
2025-11-04 21:37:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, new result: VAL_ACC: 57.910000, RUNTIME: 348.547000           
2025-11-04 21:37:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, new result: VAL_ACC: 57.390000, RUNTIME: 570.681000           
2025-11-04 21:37:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, new result: VAL_ACC: 56.180000, RUNTIME: 301.247000           
2025-11-04 21:37:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, new result: VAL_ACC: 53.240000, RUNTIME: 533.727000           
2025-11-04 21:37:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, new result: VAL_ACC: 61.160000, RUNTIME: 544.210000           
2025-11-04 21:37:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 458 done, completed/running 7/1 = ∑8/20, new result: VAL_ACC: 64.760000, RUNTIME: 438.361000           
2025-11-04 21:43:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 465 done, running 1 = ∑1/20, waiting for 8 jobs, finished 7 jobs                                       
2025-11-04 21:43:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 465 done, running 1 = ∑1/20, waiting for 1 job                                                         
2025-11-04 22:25:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 465 done, running 1 = ∑1/20, new result: VAL_ACC: 68.240000, RUNTIME: 3648.863000                      
2025-11-04 22:26:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, waiting for 1 job, finished 1 job                                                            
2025-11-04 23:05:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #1/20                                                                     
2025-11-04 23:05:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #2/20                                                                     
2025-11-04 23:05:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #3/20                                                                     
2025-11-04 23:05:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #4/20                                                                     
2025-11-04 23:05:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #5/20                                                                     
2025-11-04 23:05:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #6/20                                                                     
2025-11-04 23:05:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #7/20                                                                     
2025-11-04 23:05:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #8/20                                                                     
2025-11-04 23:05:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #9/20                                                                     
2025-11-04 23:05:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #10/20                                                                    
2025-11-04 23:05:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #11/20                                                                    
2025-11-04 23:05:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #12/20                                                                    
2025-11-04 23:05:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #13/20                                                                    
2025-11-04 23:05:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #14/20                                                                    
2025-11-04 23:05:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #15/20                                                                    
2025-11-04 23:05:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #16/20                                                                    
2025-11-04 23:05:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #17/20                                                                    
2025-11-04 23:05:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #18/20                                                                    
2025-11-04 23:05:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #19/20                                                                    
2025-11-04 23:06:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, getting new HP set #20/20                                                                    
2025-11-04 23:06:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, requested 20 jobs, got 20, 117.37 s/job                                                      
2025-11-04 23:06:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #1/20 start                                                                             
2025-11-04 23:06:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #2/20 start                                                                             
2025-11-04 23:06:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #3/20 start                                                                             
2025-11-04 23:06:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #4/20 start                                                                             
2025-11-04 23:06:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #5/20 start                                                                             
2025-11-04 23:06:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #6/20 start                                                                             
2025-11-04 23:06:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #7/20 start                                                                             
2025-11-04 23:06:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #8/20 start                                                                             
2025-11-04 23:06:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #9/20 start                                                                             
2025-11-04 23:06:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #10/20 start                                                                            
2025-11-04 23:06:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #11/20 start                                                                            
2025-11-04 23:06:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #12/20 start                                                                            
2025-11-04 23:06:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #13/20 start                                                                            
2025-11-04 23:06:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #14/20 start                                                                            
2025-11-04 23:06:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #15/20 start                                                                            
2025-11-04 23:06:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #16/20 start                                                                            
2025-11-04 23:06:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #17/20 start                                                                            
2025-11-04 23:06:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #18/20 start                                                                            
2025-11-04 23:06:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #19/20 start                                                                            
2025-11-04 23:06:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, eval #20/20 start                                                                            
2025-11-04 23:06:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, starting new job                                                                             
2025-11-04 23:06:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, unknown 2 = ∑2/20, started new job                                                           
2025-11-04 23:06:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, unknown 2 = ∑2/20, starting new job                                                          
2025-11-04 23:06:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, unknown 3 = ∑3/20, started new job                                                           
2025-11-04 23:06:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, unknown 3 = ∑3/20, starting new job                                                          
2025-11-04 23:06:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, pending/unknown 3/1 = ∑4/20, started new job                                                 
2025-11-04 23:06:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, pending/unknown 3/1 = ∑4/20, starting new job                                                
2025-11-04 23:07:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending/unknown 3/1/1 = ∑5/20, started new job                                       
2025-11-04 23:07:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending/unknown 3/2/1 = ∑6/20, started new job                                       
2025-11-04 23:07:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending/unknown 5/2/5 = ∑12/20, started new job                                      
2025-11-04 23:07:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending/unknown 5/2/11 = ∑18/20, started new job                                     
2025-11-04 23:07:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending/unknown 5/2/13 = ∑20/20, started new job                                     
2025-11-04 23:07:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending/unknown 5/2/13 = ∑20/20, waiting for 20 jobs                                 
2025-11-04 23:07:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending 5/15 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 23:09:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending 7/13 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 23:11:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending 11/9 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 23:14:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running/pending 19/1 = ∑20/20, waiting for 20 jobs                                           
2025-11-04 23:21:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-04 23:29:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 466 done, running 20 = ∑20/20, new result: VAL_ACC: 62.960000, RUNTIME: 1163.115000                    
2025-11-04 23:30:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 467 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-04 23:30:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 467 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-04 23:30:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 467 done, running 19 = ∑19/20, new result: VAL_ACC: 64.840000, RUNTIME: 1323.124000                    
2025-11-04 23:31:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 468 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                                     
2025-11-04 23:31:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 468 done, running 18 = ∑18/20, waiting for 18 jobs                                                     
2025-11-04 23:33:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 468 done, running 18 = ∑18/20, new result: VAL_ACC: 64.230000, RUNTIME: 1192.204000                    
2025-11-04 23:34:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 469 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job                                     
2025-11-04 23:34:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 469 done, running 17 = ∑17/20, waiting for 17 jobs                                                     
2025-11-04 23:34:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 469 done, running 17 = ∑17/20, new result: VAL_ACC: 65.430000, RUNTIME: 1497.180000                    
2025-11-04 23:35:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 470 done, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job                                     
2025-11-04 23:35:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 470 done, running 16 = ∑16/20, waiting for 16 jobs                                                     
2025-11-04 23:35:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 470 done, running 16 = ∑16/20, new result: VAL_ACC: 63.910000, RUNTIME: 1263.900000                    
2025-11-04 23:35:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 470 done, running 16 = ∑16/20, new result: VAL_ACC: 66.240000, RUNTIME: 1530.269000                    
2025-11-04 23:37:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 472 done, running 14 = ∑14/20, waiting for 16 jobs, finished 2 jobs                                    
2025-11-04 23:37:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 472 done, running 14 = ∑14/20, waiting for 14 jobs                                                     
2025-11-04 23:37:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 472 done, running 14 = ∑14/20, new result: VAL_ACC: 65.350000, RUNTIME: 1686.847000                    
2025-11-04 23:37:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 472 done, running 14 = ∑14/20, new result: VAL_ACC: 64.250000, RUNTIME: 1475.033000                    
2025-11-04 23:39:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 474 done, running 12 = ∑12/20, waiting for 14 jobs, finished 2 jobs                                    
2025-11-04 23:39:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 474 done, running 12 = ∑12/20, waiting for 12 jobs                                                     
2025-11-05 00:25:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 474 done, running 12 = ∑12/20, new result: VAL_ACC: 67.080000, RUNTIME: 4671.156000                    
2025-11-05 00:26:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 475 done, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job                                     
2025-11-05 00:26:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 475 done, running 11 = ∑11/20, waiting for 11 jobs                                                     
2025-11-05 00:26:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 475 done, running 11 = ∑11/20, new result: VAL_ACC: 67.810000, RUNTIME: 4698.580000                    
2025-11-05 00:27:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 476 done, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job                                     
2025-11-05 00:27:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 476 done, running 10 = ∑10/20, waiting for 10 jobs                                                     
2025-11-05 00:27:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 476 done, running 10 = ∑10/20, new result: VAL_ACC: 67.560000, RUNTIME: 4679.423000                    
2025-11-05 00:28:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 477 done, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job                                       
2025-11-05 00:28:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 477 done, running 9 = ∑9/20, waiting for 9 jobs                                                        
2025-11-05 00:28:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 477 done, running 9 = ∑9/20, new result: VAL_ACC: 66.730000, RUNTIME: 4675.423000                      
2025-11-05 00:29:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 478 done, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job                                        
2025-11-05 00:29:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 478 done, running 8 = ∑8/20, waiting for 8 jobs                                                        
2025-11-05 00:31:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 478 done, running 8 = ∑8/20, new result: VAL_ACC: 67.050000, RUNTIME: 4668.466000                      
2025-11-05 00:31:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 478 done, running 8 = ∑8/20, new result: VAL_ACC: 67.240000, RUNTIME: 4668.492000                      
2025-11-05 00:33:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 480 done, running/completed 4/2 = ∑6/20, waiting for 8 jobs, finished 2 jobs                           
2025-11-05 00:33:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 480 done, running/completed 4/2 = ∑6/20, waiting for 6 jobs                                            
2025-11-05 00:33:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 480 done, running/completed 4/2 = ∑6/20, new result: VAL_ACC: 67.200000, RUNTIME: 5072.137000          
2025-11-05 00:33:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 480 done, running/completed 4/2 = ∑6/20, new result: VAL_ACC: 67.240000, RUNTIME: 4736.953000          
2025-11-05 00:33:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 480 done, running/completed 4/2 = ∑6/20, new result: VAL_ACC: 66.880000, RUNTIME: 4757.668000          
2025-11-05 00:36:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 483 done, running 3 = ∑3/20, waiting for 6 jobs, finished 3 jobs                                       
2025-11-05 00:36:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 483 done, running 3 = ∑3/20, waiting for 3 jobs                                                        
2025-11-05 00:43:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 483 done, running 3 = ∑3/20, new result: VAL_ACC: 67.520000, RUNTIME: 5763.170000                      
2025-11-05 00:44:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 484 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job                                        
2025-11-05 00:44:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 484 done, running 2 = ∑2/20, waiting for 2 jobs                                                        
2025-11-05 00:50:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 484 done, running 2 = ∑2/20, new result: VAL_ACC: 67.590000, RUNTIME: 5881.253000                      
2025-11-05 00:51:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 485 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job                                        
2025-11-05 00:51:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 485 done, running 1 = ∑1/20, waiting for 1 job                                                         
2025-11-05 00:51:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 485 done, running 1 = ∑1/20, new result: VAL_ACC: 67.230000, RUNTIME: 5756.766000                      
2025-11-05 00:53:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, waiting for 1 job, finished 1 job                                                            
2025-11-05 01:32:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #1/20                                                                     
2025-11-05 01:32:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #2/20                                                                     
2025-11-05 01:32:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #3/20                                                                     
2025-11-05 01:32:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #4/20                                                                     
2025-11-05 01:32:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #5/20                                                                     
2025-11-05 01:32:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #6/20                                                                     
2025-11-05 01:32:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #7/20                                                                     
2025-11-05 01:32:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #8/20                                                                     
2025-11-05 01:32:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #9/20                                                                     
2025-11-05 01:32:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #10/20                                                                    
2025-11-05 01:32:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #11/20                                                                    
2025-11-05 01:32:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #12/20                                                                    
2025-11-05 01:32:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #13/20                                                                    
2025-11-05 01:32:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #14/20                                                                    
2025-11-05 01:32:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #15/20                                                                    
2025-11-05 01:32:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #16/20                                                                    
2025-11-05 01:32:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #17/20                                                                    
2025-11-05 01:32:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #18/20                                                                    
2025-11-05 01:32:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #19/20                                                                    
2025-11-05 01:32:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, getting new HP set #20/20                                                                    
2025-11-05 01:32:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, requested 20 jobs, got 20, 119.00 s/job                                                      
2025-11-05 01:32:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #1/20 start                                                                             
2025-11-05 01:32:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #2/20 start                                                                             
2025-11-05 01:32:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #3/20 start                                                                             
2025-11-05 01:32:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #4/20 start                                                                             
2025-11-05 01:32:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #5/20 start                                                                             
2025-11-05 01:32:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #6/20 start                                                                             
2025-11-05 01:32:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #7/20 start                                                                             
2025-11-05 01:32:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #8/20 start                                                                             
2025-11-05 01:32:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #9/20 start                                                                             
2025-11-05 01:32:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #10/20 start                                                                            
2025-11-05 01:33:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #11/20 start                                                                            
2025-11-05 01:33:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #12/20 start                                                                            
2025-11-05 01:33:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #13/20 start                                                                            
2025-11-05 01:33:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #14/20 start                                                                            
2025-11-05 01:33:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #15/20 start                                                                            
2025-11-05 01:33:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #16/20 start                                                                            
2025-11-05 01:33:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #17/20 start                                                                            
2025-11-05 01:33:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #18/20 start                                                                            
2025-11-05 01:33:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #19/20 start                                                                            
2025-11-05 01:33:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, eval #20/20 start                                                                            
2025-11-05 01:33:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, starting new job                                                                             
2025-11-05 01:33:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, unknown 2 = ∑2/20, started new job                                                           
2025-11-05 01:33:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, unknown 2 = ∑2/20, starting new job                                                          
2025-11-05 01:33:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, pending/unknown 2/1 = ∑3/20, started new job                                                 
2025-11-05 01:33:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, pending/unknown 2/1 = ∑3/20, starting new job                                                
2025-11-05 01:33:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, pending/unknown 3/3 = ∑6/20, started new job                                                 
2025-11-05 01:33:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, pending/unknown 3/3 = ∑6/20, starting new job                                                
2025-11-05 01:33:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, pending/unknown 6/1 = ∑7/20, started new job                                                 
2025-11-05 01:33:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, pending/unknown 7/1 = ∑8/20, started new job                                                 
2025-11-05 01:33:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running/pending 5/4 = ∑9/20, started new job                                                 
2025-11-05 01:34:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running/pending 5/6 = ∑11/20, started new job                                                
2025-11-05 01:34:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running/pending 5/9 = ∑14/20, started new job                                                
2025-11-05 01:34:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running/pending 5/12 = ∑17/20, started new job                                               
2025-11-05 01:34:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running/pending 5/15 = ∑20/20, started new job                                               
2025-11-05 01:34:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running/pending 5/15 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 01:34:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running/pending 6/14 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 01:36:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running/pending 7/13 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 01:39:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running/pending 11/9 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 01:44:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 01:47:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 486 done, running 20 = ∑20/20, new result: VAL_ACC: 58.790000, RUNTIME: 810.392000                     
2025-11-05 01:48:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 487 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-05 01:48:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 487 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-05 01:48:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 487 done, running 19 = ∑19/20, new result: VAL_ACC: 58.980000, RUNTIME: 885.786000                     
2025-11-05 01:49:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 488 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                                     
2025-11-05 01:49:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 488 done, running 18 = ∑18/20, waiting for 18 jobs                                                     
2025-11-05 01:49:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 488 done, running 18 = ∑18/20, new result: VAL_ACC: 59.100000, RUNTIME: 913.867000                     
2025-11-05 01:49:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 488 done, running 18 = ∑18/20, new result: VAL_ACC: 58.620000, RUNTIME: 890.406000                     
2025-11-05 01:49:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 488 done, running 18 = ∑18/20, new result: VAL_ACC: 59.180000, RUNTIME: 896.699000                     
2025-11-05 01:52:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 491 done, running 15 = ∑15/20, waiting for 18 jobs, finished 3 jobs                                    
2025-11-05 01:52:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 491 done, running 15 = ∑15/20, waiting for 15 jobs                                                     
2025-11-05 01:52:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 491 done, running 15 = ∑15/20, new result: VAL_ACC: 58.070000, RUNTIME: 891.594000                     
2025-11-05 01:52:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 491 done, running 15 = ∑15/20, new result: VAL_ACC: 53.750000, RUNTIME: 925.849000                     
2025-11-05 01:52:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 491 done, running 15 = ∑15/20, new result: VAL_ACC: 58.130000, RUNTIME: 938.431000                     
2025-11-05 01:52:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 491 done, running 15 = ∑15/20, new result: VAL_ACC: 57.720000, RUNTIME: 813.636000                     
2025-11-05 01:56:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 495 done, completed/running 4/7 = ∑11/20, waiting for 15 jobs, finished 4 jobs                         
2025-11-05 01:56:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 495 done, completed/running 4/7 = ∑11/20, waiting for 11 jobs                                          
2025-11-05 01:56:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 495 done, completed/running 4/7 = ∑11/20, new result: VAL_ACC: 58.390000, RUNTIME: 922.913000          
2025-11-05 01:56:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 495 done, completed/running 4/7 = ∑11/20, new result: VAL_ACC: 60.340000, RUNTIME: 937.529000          
2025-11-05 01:56:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 495 done, completed/running 4/7 = ∑11/20, new result: VAL_ACC: 58.650000, RUNTIME: 898.907000          
2025-11-05 01:56:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 495 done, completed/running 4/7 = ∑11/20, new result: VAL_ACC: 57.760000, RUNTIME: 885.920000          
2025-11-05 02:00:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 499 done, running 7 = ∑7/20, waiting for 11 jobs, finished 4 jobs                                      
2025-11-05 02:00:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 499 done, running 7 = ∑7/20, waiting for 7 jobs                                                        
2025-11-05 02:00:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 499 done, running 7 = ∑7/20, new result: VAL_ACC: 61.290000, RUNTIME: 1139.605000                      
2025-11-05 02:00:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 499 done, running 7 = ∑7/20, new result: VAL_ACC: 58.940000, RUNTIME: 1040.124000                      
2025-11-05 02:00:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 499 done, running 7 = ∑7/20, new result: VAL_ACC: 60.110000, RUNTIME: 991.751000                       
2025-11-05 02:00:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 499 done, running 7 = ∑7/20, new result: VAL_ACC: 58.880000, RUNTIME: 922.961000                       
2025-11-05 02:00:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 499 done, running 7 = ∑7/20, new result: VAL_ACC: 59.740000, RUNTIME: 899.466000                       
2025-11-05 02:00:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 499 done, running 7 = ∑7/20, new result: VAL_ACC: 58.260000, RUNTIME: 934.975000                       
2025-11-05 02:06:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 505 done, running 1 = ∑1/20, waiting for 7 jobs, finished 6 jobs                                       
2025-11-05 02:06:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 505 done, running 1 = ∑1/20, waiting for 1 job                                                         
2025-11-05 02:06:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 505 done, running 1 = ∑1/20, new result: VAL_ACC: 58.890000, RUNTIME: 1087.717000                      
2025-11-05 02:07:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, waiting for 1 job, finished 1 job                                                            
2025-11-05 02:55:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #1/20                                                                     
2025-11-05 02:55:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #2/20                                                                     
2025-11-05 02:55:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #3/20                                                                     
2025-11-05 02:55:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #4/20                                                                     
2025-11-05 02:55:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #5/20                                                                     
2025-11-05 02:55:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #6/20                                                                     
2025-11-05 02:55:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #7/20                                                                     
2025-11-05 02:55:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #8/20                                                                     
2025-11-05 02:55:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #9/20                                                                     
2025-11-05 02:55:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #10/20                                                                    
2025-11-05 02:55:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #11/20                                                                    
2025-11-05 02:55:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #12/20                                                                    
2025-11-05 02:55:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #13/20                                                                    
2025-11-05 02:55:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #14/20                                                                    
2025-11-05 02:55:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #15/20                                                                    
2025-11-05 02:55:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #16/20                                                                    
2025-11-05 02:55:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #17/20                                                                    
2025-11-05 02:55:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #18/20                                                                    
2025-11-05 02:55:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #19/20                                                                    
2025-11-05 02:55:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, getting new HP set #20/20                                                                    
2025-11-05 02:55:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, requested 20 jobs, got 20, 143.83 s/job                                                      
2025-11-05 02:55:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #1/20 start                                                                             
2025-11-05 02:55:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #2/20 start                                                                             
2025-11-05 02:55:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #3/20 start                                                                             
2025-11-05 02:55:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #4/20 start                                                                             
2025-11-05 02:55:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #5/20 start                                                                             
2025-11-05 02:55:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #6/20 start                                                                             
2025-11-05 02:55:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #7/20 start                                                                             
2025-11-05 02:55:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #8/20 start                                                                             
2025-11-05 02:55:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #9/20 start                                                                             
2025-11-05 02:55:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #10/20 start                                                                            
2025-11-05 02:55:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #11/20 start                                                                            
2025-11-05 02:55:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #12/20 start                                                                            
2025-11-05 02:55:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #13/20 start                                                                            
2025-11-05 02:55:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #14/20 start                                                                            
2025-11-05 02:55:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #15/20 start                                                                            
2025-11-05 02:55:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #16/20 start                                                                            
2025-11-05 02:55:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #17/20 start                                                                            
2025-11-05 02:55:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #18/20 start                                                                            
2025-11-05 02:55:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #19/20 start                                                                            
2025-11-05 02:55:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, eval #20/20 start                                                                            
2025-11-05 02:55:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, starting new job                                                                             
2025-11-05 02:55:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, unknown 3 = ∑3/20, started new job                                                           
2025-11-05 02:55:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, unknown 3 = ∑3/20, starting new job                                                          
2025-11-05 02:56:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, pending/unknown 3/3 = ∑6/20, started new job                                                 
2025-11-05 02:56:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, pending/unknown 3/3 = ∑6/20, starting new job                                                
2025-11-05 02:56:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, pending/unknown 6/2 = ∑8/20, started new job                                                 
2025-11-05 02:56:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending/unknown 4/4/2 = ∑10/20, started new job                                      
2025-11-05 02:56:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending/unknown 4/6/2 = ∑12/20, started new job                                      
2025-11-05 02:56:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending/unknown 4/8/2 = ∑14/20, started new job                                      
2025-11-05 02:56:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending/unknown 4/10/1 = ∑15/20, started new job                                     
2025-11-05 02:56:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending/unknown 4/10/2 = ∑16/20, started new job                                     
2025-11-05 02:56:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending/unknown 4/12/3 = ∑19/20, started new job                                     
2025-11-05 02:56:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending/unknown 4/15/1 = ∑20/20, started new job                                     
2025-11-05 02:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending/unknown 4/15/1 = ∑20/20, waiting for 20 jobs                                 
2025-11-05 02:56:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending 4/16 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 02:58:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending 11/9 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 03:00:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running/pending 13/7 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 03:04:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 03:17:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 506 done, running 20 = ∑20/20, new result: VAL_ACC: 62.530000, RUNTIME: 1267.078000                    
2025-11-05 03:18:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 507 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-05 03:18:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 507 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-05 03:19:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 507 done, running 19 = ∑19/20, new result: VAL_ACC: 59.960000, RUNTIME: 1214.977000                    
2025-11-05 03:20:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 508 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                                     
2025-11-05 03:20:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 508 done, running 18 = ∑18/20, waiting for 18 jobs                                                     
2025-11-05 03:21:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 508 done, running 18 = ∑18/20, new result: VAL_ACC: 54.690000, RUNTIME: 1393.039000                    
2025-11-05 03:22:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 509 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job                                     
2025-11-05 03:22:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 509 done, running 17 = ∑17/20, waiting for 17 jobs                                                     
2025-11-05 03:22:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 509 done, running 17 = ∑17/20, new result: VAL_ACC: 53.510000, RUNTIME: 1399.061000                    
2025-11-05 03:22:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 509 done, running 17 = ∑17/20, new result: VAL_ACC: 60.040000, RUNTIME: 1368.036000                    
2025-11-05 03:22:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 509 done, running 17 = ∑17/20, new result: VAL_ACC: 54.500000, RUNTIME: 1406.142000                    
2025-11-05 03:25:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 512 done, completed/running 3/11 = ∑14/20, waiting for 17 jobs, finished 3 jobs                        
2025-11-05 03:25:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 512 done, completed/running 3/11 = ∑14/20, waiting for 14 jobs                                         
2025-11-05 03:25:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 512 done, completed/running 3/11 = ∑14/20, new result: VAL_ACC: 57.400000, RUNTIME: 1697.245000        
2025-11-05 03:25:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 512 done, completed/running 3/11 = ∑14/20, new result: VAL_ACC: 57.870000, RUNTIME: 1620.112000        
2025-11-05 03:25:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 512 done, completed/running 3/11 = ∑14/20, new result: VAL_ACC: 63.360000, RUNTIME: 1616.134000        
2025-11-05 03:25:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 512 done, completed/running 3/11 = ∑14/20, new result: VAL_ACC: 55.700000, RUNTIME: 1523.751000        
2025-11-05 03:25:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 512 done, completed/running 3/11 = ∑14/20, new result: VAL_ACC: 57.170000, RUNTIME: 1271.442000        
2025-11-05 03:30:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 517 done, running 9 = ∑9/20, waiting for 14 jobs, finished 5 jobs                                      
2025-11-05 03:30:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 517 done, running 9 = ∑9/20, waiting for 9 jobs                                                        
2025-11-05 03:30:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 517 done, running 9 = ∑9/20, new result: VAL_ACC: 64.470000, RUNTIME: 1672.446000                      
2025-11-05 03:30:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 517 done, running 9 = ∑9/20, new result: VAL_ACC: 62.470000, RUNTIME: 1610.518000                      
2025-11-05 03:30:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 517 done, running 9 = ∑9/20, new result: VAL_ACC: 56.760000, RUNTIME: 1504.956000                      
2025-11-05 03:30:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 517 done, running 9 = ∑9/20, new result: VAL_ACC: 64.250000, RUNTIME: 1517.585000                      
2025-11-05 03:30:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 517 done, running 9 = ∑9/20, new result: VAL_ACC: 60.330000, RUNTIME: 1630.252000                      
2025-11-05 03:30:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 517 done, running 9 = ∑9/20, new result: VAL_ACC: 57.160000, RUNTIME: 1371.754000                      
2025-11-05 03:30:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 517 done, running 9 = ∑9/20, new result: VAL_ACC: 63.940000, RUNTIME: 1571.363000                      
2025-11-05 03:36:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 524 done, completed/running 1/1 = ∑2/20, waiting for 9 jobs, finished 7 jobs                           
2025-11-05 03:36:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 524 done, completed/running 1/1 = ∑2/20, waiting for 2 jobs                                            
2025-11-05 03:36:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 524 done, completed/running 1/1 = ∑2/20, new result: VAL_ACC: 62.330000, RUNTIME: 1782.230000          
2025-11-05 03:37:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 525 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job                                        
2025-11-05 03:37:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 525 done, running 1 = ∑1/20, waiting for 1 job                                                         
2025-11-05 03:46:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 525 done, running 1 = ∑1/20, new result: VAL_ACC: 54.500000, RUNTIME: 2749.731000                      
2025-11-05 03:47:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, waiting for 1 job, finished 1 job                                                            
2025-11-05 04:38:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #1/20                                                                     
2025-11-05 04:38:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #2/20                                                                     
2025-11-05 04:38:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #3/20                                                                     
2025-11-05 04:38:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #4/20                                                                     
2025-11-05 04:38:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #5/20                                                                     
2025-11-05 04:38:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #6/20                                                                     
2025-11-05 04:38:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #7/20                                                                     
2025-11-05 04:38:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #8/20                                                                     
2025-11-05 04:38:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #9/20                                                                     
2025-11-05 04:38:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #10/20                                                                    
2025-11-05 04:38:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #11/20                                                                    
2025-11-05 04:38:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #12/20                                                                    
2025-11-05 04:38:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #13/20                                                                    
2025-11-05 04:38:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #14/20                                                                    
2025-11-05 04:38:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #15/20                                                                    
2025-11-05 04:38:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #16/20                                                                    
2025-11-05 04:38:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #17/20                                                                    
2025-11-05 04:38:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #18/20                                                                    
2025-11-05 04:38:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #19/20                                                                    
2025-11-05 04:38:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, getting new HP set #20/20                                                                    
2025-11-05 04:38:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, requested 20 jobs, got 20, 154.06 s/job                                                      
2025-11-05 04:38:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #1/20 start                                                                             
2025-11-05 04:38:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #2/20 start                                                                             
2025-11-05 04:38:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #3/20 start                                                                             
2025-11-05 04:38:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #4/20 start                                                                             
2025-11-05 04:38:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #5/20 start                                                                             
2025-11-05 04:38:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #6/20 start                                                                             
2025-11-05 04:38:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #7/20 start                                                                             
2025-11-05 04:38:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #8/20 start                                                                             
2025-11-05 04:38:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #9/20 start                                                                             
2025-11-05 04:39:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #10/20 start                                                                            
2025-11-05 04:39:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #11/20 start                                                                            
2025-11-05 04:39:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #12/20 start                                                                            
2025-11-05 04:39:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #13/20 start                                                                            
2025-11-05 04:39:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #14/20 start                                                                            
2025-11-05 04:39:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #15/20 start                                                                            
2025-11-05 04:39:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #16/20 start                                                                            
2025-11-05 04:39:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #17/20 start                                                                            
2025-11-05 04:39:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #18/20 start                                                                            
2025-11-05 04:39:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #19/20 start                                                                            
2025-11-05 04:39:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, eval #20/20 start                                                                            
2025-11-05 04:39:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, starting new job                                                                             
2025-11-05 04:39:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, pending 3 = ∑3/20, started new job                                                           
2025-11-05 04:39:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, pending 3 = ∑3/20, starting new job                                                          
2025-11-05 04:39:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, pending/unknown 3/3 = ∑6/20, started new job                                                 
2025-11-05 04:39:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, pending/unknown 3/3 = ∑6/20, starting new job                                                
2025-11-05 04:39:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, pending/unknown 6/2 = ∑8/20, started new job                                                 
2025-11-05 04:39:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, pending/unknown 6/3 = ∑9/20, started new job                                                 
2025-11-05 04:39:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/unknown 9/1 = ∑10/20, started new job                                                
2025-11-05 04:39:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/unknown 9/2 = ∑11/20, started new job                                                
2025-11-05 04:39:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/pending/unknown 9/2/2 = ∑13/20, started new job                                      
2025-11-05 04:39:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/unknown 13/1 = ∑14/20, started new job                                               
2025-11-05 04:40:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/unknown 14/1 = ∑15/20, started new job                                               
2025-11-05 04:40:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/pending/unknown 14/1/1 = ∑16/20, started new job                                     
2025-11-05 04:40:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/pending/unknown 14/2/3 = ∑19/20, started new job                                     
2025-11-05 04:40:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/unknown 19/1 = ∑20/20, started new job                                               
2025-11-05 04:40:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/unknown 19/1 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 04:40:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running/pending 19/1 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 04:40:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 05:01:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 526 done, running 20 = ∑20/20, new result: VAL_ACC: 63.850000, RUNTIME: 1332.550000                    
2025-11-05 05:03:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, waiting for 20 jobs, finished 1 job                         
2025-11-05 05:03:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, waiting for 19 jobs                                         
2025-11-05 05:03:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 63.640000, RUNTIME: 1333.219000        
2025-11-05 05:03:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 57.630000, RUNTIME: 1349.051000        
2025-11-05 05:03:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 64.450000, RUNTIME: 1348.278000        
2025-11-05 05:03:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 57.960000, RUNTIME: 1340.807000        
2025-11-05 05:03:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 63.960000, RUNTIME: 1345.385000        
2025-11-05 05:03:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 63.820000, RUNTIME: 1378.186000        
2025-11-05 05:03:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 61.180000, RUNTIME: 1357.416000        
2025-11-05 05:03:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 63.770000, RUNTIME: 1328.772000        
2025-11-05 05:03:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 56.560000, RUNTIME: 1330.026000        
2025-11-05 05:03:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 527 done, running/completed 9/10 = ∑19/20, new result: VAL_ACC: 59.950000, RUNTIME: 1324.408000        
2025-11-05 05:13:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, waiting for 19 jobs, finished 10 jobs                                     
2025-11-05 05:13:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, waiting for 9 jobs                                                        
2025-11-05 05:13:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, new result: VAL_ACC: 63.280000, RUNTIME: 1672.812000                      
2025-11-05 05:13:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, new result: VAL_ACC: 63.260000, RUNTIME: 1411.197000                      
2025-11-05 05:13:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, new result: VAL_ACC: 60.640000, RUNTIME: 1617.582000                      
2025-11-05 05:13:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, new result: VAL_ACC: 56.780000, RUNTIME: 1583.400000                      
2025-11-05 05:13:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, new result: VAL_ACC: 64.060000, RUNTIME: 1693.723000                      
2025-11-05 05:13:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, new result: VAL_ACC: 63.080000, RUNTIME: 1667.282000                      
2025-11-05 05:13:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, new result: VAL_ACC: 61.000000, RUNTIME: 1416.419000                      
2025-11-05 05:13:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, running 9 = ∑9/20, new result: VAL_ACC: 65.250000, RUNTIME: 1781.845000                      
2025-11-05 05:13:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 537 done, completed 9 = ∑9/20, new result: VAL_ACC: 58.810000, RUNTIME: 1607.369000                    
2025-11-05 05:21:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, waiting for 9 jobs, finished 9 jobs                                                          
2025-11-05 06:16:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #1/20                                                                     
2025-11-05 06:16:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #2/20                                                                     
2025-11-05 06:16:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #3/20                                                                     
2025-11-05 06:16:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #4/20                                                                     
2025-11-05 06:16:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #5/20                                                                     
2025-11-05 06:16:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #6/20                                                                     
2025-11-05 06:16:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #7/20                                                                     
2025-11-05 06:16:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #8/20                                                                     
2025-11-05 06:16:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #9/20                                                                     
2025-11-05 06:16:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #10/20                                                                    
2025-11-05 06:16:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #11/20                                                                    
2025-11-05 06:16:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #12/20                                                                    
2025-11-05 06:16:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #13/20                                                                    
2025-11-05 06:16:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #14/20                                                                    
2025-11-05 06:16:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #15/20                                                                    
2025-11-05 06:16:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #16/20                                                                    
2025-11-05 06:16:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #17/20                                                                    
2025-11-05 06:16:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #18/20                                                                    
2025-11-05 06:16:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #19/20                                                                    
2025-11-05 06:16:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, getting new HP set #20/20                                                                    
2025-11-05 06:16:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, requested 20 jobs, got 20, 164.94 s/job                                                      
2025-11-05 06:16:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #1/20 start                                                                             
2025-11-05 06:16:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #2/20 start                                                                             
2025-11-05 06:16:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #3/20 start                                                                             
2025-11-05 06:16:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #4/20 start                                                                             
2025-11-05 06:16:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #5/20 start                                                                             
2025-11-05 06:16:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #6/20 start                                                                             
2025-11-05 06:16:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #7/20 start                                                                             
2025-11-05 06:17:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #8/20 start                                                                             
2025-11-05 06:17:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #9/20 start                                                                             
2025-11-05 06:17:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #10/20 start                                                                            
2025-11-05 06:17:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #11/20 start                                                                            
2025-11-05 06:17:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #12/20 start                                                                            
2025-11-05 06:17:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #13/20 start                                                                            
2025-11-05 06:17:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #14/20 start                                                                            
2025-11-05 06:17:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #15/20 start                                                                            
2025-11-05 06:17:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #16/20 start                                                                            
2025-11-05 06:17:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #17/20 start                                                                            
2025-11-05 06:17:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #18/20 start                                                                            
2025-11-05 06:17:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #19/20 start                                                                            
2025-11-05 06:17:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, eval #20/20 start                                                                            
2025-11-05 06:17:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, starting new job                                                                             
2025-11-05 06:17:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, pending 3 = ∑3/20, started new job                                                           
2025-11-05 06:17:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, pending 3 = ∑3/20, starting new job                                                          
2025-11-05 06:17:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/unknown 3/1 = ∑4/20, started new job                                                 
2025-11-05 06:17:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/unknown 3/1 = ∑4/20, starting new job                                                
2025-11-05 06:17:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/pending/unknown 3/1/1 = ∑5/20, started new job                                       
2025-11-05 06:17:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/pending/unknown 3/2/1 = ∑6/20, started new job                                       
2025-11-05 06:17:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/pending 6/2 = ∑8/20, started new job                                                 
2025-11-05 06:17:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/pending 6/3 = ∑9/20, started new job                                                 
2025-11-05 06:17:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/unknown 9/3 = ∑12/20, started new job                                                
2025-11-05 06:17:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/unknown 12/1 = ∑13/20, started new job                                               
2025-11-05 06:17:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/unknown 12/2 = ∑14/20, started new job                                               
2025-11-05 06:17:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/pending/unknown 12/2/2 = ∑16/20, started new job                                     
2025-11-05 06:17:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/pending/unknown 12/2/3 = ∑17/20, started new job                                     
2025-11-05 06:17:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/pending 17/2 = ∑19/20, started new job                                               
2025-11-05 06:18:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/unknown 19/1 = ∑20/20, started new job                                               
2025-11-05 06:18:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/unknown 19/1 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 06:18:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running/pending 19/1 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 06:18:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 06:21:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 546 done, running 20 = ∑20/20, new result: VAL_ACC: 49.650000, RUNTIME: 228.243000                     
2025-11-05 06:23:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 547 done, running/completed 18/1 = ∑19/20, waiting for 20 jobs, finished 1 job                         
2025-11-05 06:23:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 547 done, running/completed 18/1 = ∑19/20, waiting for 19 jobs                                         
2025-11-05 06:23:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 547 done, running/completed 18/1 = ∑19/20, new result: VAL_ACC: 49.690000, RUNTIME: 230.379000         
2025-11-05 06:24:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 548 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                                     
2025-11-05 06:24:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 548 done, running 18 = ∑18/20, waiting for 18 jobs                                                     
2025-11-05 06:34:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 548 done, running 18 = ∑18/20, new result: VAL_ACC: 52.590000, RUNTIME: 1039.022000                    
2025-11-05 06:36:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, waiting for 18 jobs, finished 1 job                          
2025-11-05 06:36:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, waiting for 17 jobs                                          
2025-11-05 06:36:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 61.410000, RUNTIME: 1104.346000         
2025-11-05 06:36:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 60.810000, RUNTIME: 1088.795000         
2025-11-05 06:36:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 57.880000, RUNTIME: 1077.792000         
2025-11-05 06:36:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 60.490000, RUNTIME: 1076.562000         
2025-11-05 06:36:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 55.290000, RUNTIME: 1042.588000         
2025-11-05 06:36:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 57.550000, RUNTIME: 1074.469000         
2025-11-05 06:36:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 59.820000, RUNTIME: 1067.550000         
2025-11-05 06:36:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 58.670000, RUNTIME: 1072.727000         
2025-11-05 06:36:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 549 done, completed/running 9/8 = ∑17/20, new result: VAL_ACC: 58.840000, RUNTIME: 1074.355000         
2025-11-05 06:44:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 558 done, running 8 = ∑8/20, waiting for 17 jobs, finished 9 jobs                                      
2025-11-05 06:44:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 558 done, running 8 = ∑8/20, waiting for 8 jobs                                                        
2025-11-05 06:44:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 558 done, running 8 = ∑8/20, new result: VAL_ACC: 60.100000, RUNTIME: 1095.492000                      
2025-11-05 06:44:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 558 done, running 8 = ∑8/20, new result: VAL_ACC: 60.580000, RUNTIME: 1127.646000                      
2025-11-05 06:44:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 558 done, running 8 = ∑8/20, new result: VAL_ACC: 60.570000, RUNTIME: 1087.724000                      
2025-11-05 06:44:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 558 done, running 8 = ∑8/20, new result: VAL_ACC: 52.410000, RUNTIME: 1096.048000                      
2025-11-05 06:44:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 558 done, running 8 = ∑8/20, new result: VAL_ACC: 59.650000, RUNTIME: 1073.965000                      
2025-11-05 06:44:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 558 done, running 8 = ∑8/20, new result: VAL_ACC: 58.320000, RUNTIME: 1080.891000                      
2025-11-05 06:44:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 558 done, running 8 = ∑8/20, new result: VAL_ACC: 67.610000, RUNTIME: 1558.852000                      
2025-11-05 06:52:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 565 done, completed 1 = ∑1/20, waiting for 8 jobs, finished 7 jobs                                     
2025-11-05 06:52:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 565 done, completed 1 = ∑1/20, waiting for 1 job                                                       
2025-11-05 06:52:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 565 done, completed 1 = ∑1/20, new result: VAL_ACC: 63.320000, RUNTIME: 1670.128000                    
2025-11-05 06:53:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, waiting for 1 job, finished 1 job                                                            
2025-11-05 08:02:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #1/20                                                                     
2025-11-05 08:02:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #2/20                                                                     
2025-11-05 08:02:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #3/20                                                                     
2025-11-05 08:02:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #4/20                                                                     
2025-11-05 08:02:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #5/20                                                                     
2025-11-05 08:02:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #6/20                                                                     
2025-11-05 08:02:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #7/20                                                                     
2025-11-05 08:02:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #8/20                                                                     
2025-11-05 08:02:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #9/20                                                                     
2025-11-05 08:02:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #10/20                                                                    
2025-11-05 08:02:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #11/20                                                                    
2025-11-05 08:02:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #12/20                                                                    
2025-11-05 08:02:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #13/20                                                                    
2025-11-05 08:02:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #14/20                                                                    
2025-11-05 08:02:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #15/20                                                                    
2025-11-05 08:02:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #16/20                                                                    
2025-11-05 08:02:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #17/20                                                                    
2025-11-05 08:02:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #18/20                                                                    
2025-11-05 08:02:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #19/20                                                                    
2025-11-05 08:02:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, getting new HP set #20/20                                                                    
2025-11-05 08:02:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, requested 20 jobs, got 20, 205.71 s/job                                                      
2025-11-05 08:02:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #1/20 start                                                                             
2025-11-05 08:02:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #2/20 start                                                                             
2025-11-05 08:02:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #3/20 start                                                                             
2025-11-05 08:02:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #4/20 start                                                                             
2025-11-05 08:02:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #5/20 start                                                                             
2025-11-05 08:02:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #6/20 start                                                                             
2025-11-05 08:02:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #7/20 start                                                                             
2025-11-05 08:02:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #8/20 start                                                                             
2025-11-05 08:02:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #9/20 start                                                                             
2025-11-05 08:02:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #10/20 start                                                                            
2025-11-05 08:02:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #11/20 start                                                                            
2025-11-05 08:02:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #12/20 start                                                                            
2025-11-05 08:02:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #13/20 start                                                                            
2025-11-05 08:02:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #14/20 start                                                                            
2025-11-05 08:02:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #15/20 start                                                                            
2025-11-05 08:02:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #16/20 start                                                                            
2025-11-05 08:02:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #17/20 start                                                                            
2025-11-05 08:02:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #18/20 start                                                                            
2025-11-05 08:02:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #19/20 start                                                                            
2025-11-05 08:02:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, eval #20/20 start                                                                            
2025-11-05 08:02:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, starting new job                                                                             
2025-11-05 08:02:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, pending 9 = ∑9/20, started new job                                                           
2025-11-05 08:02:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, pending/unknown 10/2 = ∑12/20, started new job                                               
2025-11-05 08:02:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running/unknown 10/4 = ∑14/20, started new job                                               
2025-11-05 08:02:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running/unknown 10/6 = ∑16/20, started new job                                               
2025-11-05 08:02:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running/unknown 10/6 = ∑16/20, starting new job                                              
2025-11-05 08:02:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running/pending 10/6 = ∑16/20, starting new job                                              
2025-11-05 08:02:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, pending 9 = ∑9/20, started new job                                                           
2025-11-05 08:03:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running/pending/unknown 10/6/2 = ∑18/20, started new job                                     
2025-11-05 08:03:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running/pending/unknown 10/6/3 = ∑19/20, started new job                                     
2025-11-05 08:03:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running/pending/unknown 10/6/4 = ∑20/20, started new job                                     
2025-11-05 08:03:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running/pending/unknown 10/6/4 = ∑20/20, waiting for 20 jobs                                 
2025-11-05 08:03:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs                                          
2025-11-05 08:03:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 08:09:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 566 done, running 20 = ∑20/20, new result: VAL_ACC: 61.130000, RUNTIME: 406.906000                     
2025-11-05 08:11:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-05 08:11:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-05 08:11:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 62.160000, RUNTIME: 413.691000                     
2025-11-05 08:11:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 58.660000, RUNTIME: 416.645000                     
2025-11-05 08:11:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 56.820000, RUNTIME: 428.006000                     
2025-11-05 08:11:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 60.880000, RUNTIME: 416.429000                     
2025-11-05 08:11:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 60.960000, RUNTIME: 434.120000                     
2025-11-05 08:11:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 63.390000, RUNTIME: 422.704000                     
2025-11-05 08:11:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 61.480000, RUNTIME: 415.537000                     
2025-11-05 08:11:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 61.220000, RUNTIME: 413.036000                     
2025-11-05 08:11:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 61.200000, RUNTIME: 425.299000                     
2025-11-05 08:11:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 61.240000, RUNTIME: 416.597000                     
2025-11-05 08:11:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 60.220000, RUNTIME: 426.588000                     
2025-11-05 08:11:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 63.380000, RUNTIME: 447.289000                     
2025-11-05 08:11:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 51.850000, RUNTIME: 410.091000                     
2025-11-05 08:11:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 62.930000, RUNTIME: 425.297000                     
2025-11-05 08:11:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 60.840000, RUNTIME: 412.033000                     
2025-11-05 08:11:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 55.940000, RUNTIME: 414.359000                     
2025-11-05 08:11:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 63.210000, RUNTIME: 430.407000                     
2025-11-05 08:11:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, running 19 = ∑19/20, new result: VAL_ACC: 61.280000, RUNTIME: 411.648000                     
2025-11-05 08:11:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 567 done, completed 19 = ∑19/20, new result: VAL_ACC: 62.910000, RUNTIME: 408.949000                   
2025-11-05 08:30:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, waiting for 19 jobs, finished 19 jobs                                                        
2025-11-05 09:43:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #1/20                                                                     
2025-11-05 09:43:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #2/20                                                                     
2025-11-05 09:43:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #3/20                                                                     
2025-11-05 09:43:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #4/20                                                                     
2025-11-05 09:43:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #5/20                                                                     
2025-11-05 09:43:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #6/20                                                                     
2025-11-05 09:43:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #7/20                                                                     
2025-11-05 09:43:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #8/20                                                                     
2025-11-05 09:43:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #9/20                                                                     
2025-11-05 09:43:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #10/20                                                                    
2025-11-05 09:43:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #11/20                                                                    
2025-11-05 09:44:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #12/20                                                                    
2025-11-05 09:44:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #13/20                                                                    
2025-11-05 09:44:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #14/20                                                                    
2025-11-05 09:44:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #15/20                                                                    
2025-11-05 09:44:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #16/20                                                                    
2025-11-05 09:44:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #17/20                                                                    
2025-11-05 09:44:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #18/20                                                                    
2025-11-05 09:44:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #19/20                                                                    
2025-11-05 09:44:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, getting new HP set #20/20                                                                    
2025-11-05 09:44:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, requested 20 jobs, got 20, 219.46 s/job                                                      
2025-11-05 09:44:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #1/20 start                                                                             
2025-11-05 09:44:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #2/20 start                                                                             
2025-11-05 09:44:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #3/20 start                                                                             
2025-11-05 09:44:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #4/20 start                                                                             
2025-11-05 09:44:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #5/20 start                                                                             
2025-11-05 09:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #6/20 start                                                                             
2025-11-05 09:44:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #7/20 start                                                                             
2025-11-05 09:44:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #8/20 start                                                                             
2025-11-05 09:44:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #9/20 start                                                                             
2025-11-05 09:44:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #10/20 start                                                                            
2025-11-05 09:44:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #11/20 start                                                                            
2025-11-05 09:44:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #12/20 start                                                                            
2025-11-05 09:44:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #13/20 start                                                                            
2025-11-05 09:44:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #14/20 start                                                                            
2025-11-05 09:44:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #15/20 start                                                                            
2025-11-05 09:44:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #16/20 start                                                                            
2025-11-05 09:44:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #17/20 start                                                                            
2025-11-05 09:44:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #18/20 start                                                                            
2025-11-05 09:44:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #19/20 start                                                                            
2025-11-05 09:44:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, eval #20/20 start                                                                            
2025-11-05 09:44:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, starting new job                                                                             
2025-11-05 09:44:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, pending 3 = ∑3/20, starting new job                                                          
2025-11-05 09:44:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending 4/7 = ∑11/20, started new job                                                
2025-11-05 09:44:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending 4/8 = ∑12/20, started new job                                                
2025-11-05 09:44:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending 4/11 = ∑15/20, started new job                                               
2025-11-05 09:44:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending 4/9 = ∑13/20, started new job                                                
2025-11-05 09:44:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending 4/11 = ∑15/20, started new job                                               
2025-11-05 09:44:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending/unknown 4/11/1 = ∑16/20, started new job                                     
2025-11-05 09:44:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending 4/12 = ∑16/20, starting new job                                              
2025-11-05 09:44:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending 4/12 = ∑16/20, started new job                                               
2025-11-05 09:44:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending 4/12 = ∑16/20, starting new job                                              
2025-11-05 09:44:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending/unknown 4/12/2 = ∑18/20, started new job                                     
2025-11-05 09:44:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending/unknown 4/12/4 = ∑20/20, started new job                                     
2025-11-05 09:44:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending/unknown 4/12/4 = ∑20/20, waiting for 20 jobs                                 
2025-11-05 09:44:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending/unknown 5/11/4 = ∑20/20, waiting for 20 jobs                                 
2025-11-05 09:44:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running/pending 14/6 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 09:44:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 09:54:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 586 done, running 20 = ∑20/20, new result: VAL_ACC: 60.150000, RUNTIME: 579.072000                     
2025-11-05 09:56:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 587 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-05 09:56:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 587 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-05 09:57:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 587 done, running 19 = ∑19/20, new result: VAL_ACC: 62.440000, RUNTIME: 777.941000                     
2025-11-05 09:59:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 588 done, running/completed 15/3 = ∑18/20, waiting for 19 jobs, finished 1 job                         
2025-11-05 09:59:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 588 done, running/completed 15/3 = ∑18/20, waiting for 18 jobs                                         
2025-11-05 09:59:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 588 done, running/completed 15/3 = ∑18/20, new result: VAL_ACC: 64.380000, RUNTIME: 818.361000         
2025-11-05 09:59:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 588 done, running/completed 15/3 = ∑18/20, new result: VAL_ACC: 64.340000, RUNTIME: 814.708000         
2025-11-05 09:59:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 588 done, running/completed 15/3 = ∑18/20, new result: VAL_ACC: 65.290000, RUNTIME: 836.365000         
2025-11-05 10:02:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 591 done, running 15 = ∑15/20, waiting for 18 jobs, finished 3 jobs                                    
2025-11-05 10:02:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 591 done, running 15 = ∑15/20, waiting for 15 jobs                                                     
2025-11-05 10:02:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 591 done, running 15 = ∑15/20, new result: VAL_ACC: 62.560000, RUNTIME: 857.057000                     
2025-11-05 10:02:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 591 done, running 15 = ∑15/20, new result: VAL_ACC: 66.160000, RUNTIME: 929.503000                     
2025-11-05 10:04:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 593 done, running 13 = ∑13/20, waiting for 15 jobs, finished 2 jobs                                    
2025-11-05 10:04:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 593 done, running 13 = ∑13/20, waiting for 13 jobs                                                     
2025-11-05 10:11:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 593 done, running 13 = ∑13/20, new result: VAL_ACC: 51.920000, RUNTIME: 1592.569000                    
2025-11-05 10:13:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job                                     
2025-11-05 10:13:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, waiting for 12 jobs                                                     
2025-11-05 10:13:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 59.730000, RUNTIME: 1658.297000                    
2025-11-05 10:13:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 58.510000, RUNTIME: 1603.128000                    
2025-11-05 10:13:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 62.780000, RUNTIME: 1684.925000                    
2025-11-05 10:13:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 57.960000, RUNTIME: 1635.546000                    
2025-11-05 10:13:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 60.920000, RUNTIME: 1626.655000                    
2025-11-05 10:13:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 61.090000, RUNTIME: 1602.653000                    
2025-11-05 10:13:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 58.740000, RUNTIME: 1633.273000                    
2025-11-05 10:13:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 60.960000, RUNTIME: 1642.172000                    
2025-11-05 10:13:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 63.090000, RUNTIME: 1667.807000                    
2025-11-05 10:13:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 59.690000, RUNTIME: 1616.991000                    
2025-11-05 10:13:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 594 done, running 12 = ∑12/20, new result: VAL_ACC: 61.210000, RUNTIME: 1679.698000                    
2025-11-05 10:29:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 605 done, completed 1 = ∑1/20, waiting for 12 jobs, finished 11 jobs                                   
2025-11-05 10:29:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 605 done, completed 1 = ∑1/20, waiting for 1 job                                                       
2025-11-05 10:29:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 605 done, completed 1 = ∑1/20, new result: VAL_ACC: 62.080000, RUNTIME: 1805.521000                    
2025-11-05 10:31:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, waiting for 1 job, finished 1 job                                                            
2025-11-05 11:42:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #1/20                                                                     
2025-11-05 11:42:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #2/20                                                                     
2025-11-05 11:42:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #3/20                                                                     
2025-11-05 11:42:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #4/20                                                                     
2025-11-05 11:42:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #5/20                                                                     
2025-11-05 11:42:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #6/20                                                                     
2025-11-05 11:42:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #7/20                                                                     
2025-11-05 11:42:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #8/20                                                                     
2025-11-05 11:42:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #9/20                                                                     
2025-11-05 11:42:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #10/20                                                                    
2025-11-05 11:42:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #11/20                                                                    
2025-11-05 11:42:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #12/20                                                                    
2025-11-05 11:42:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #13/20                                                                    
2025-11-05 11:42:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #14/20                                                                    
2025-11-05 11:42:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #15/20                                                                    
2025-11-05 11:42:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #16/20                                                                    
2025-11-05 11:42:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #17/20                                                                    
2025-11-05 11:42:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #18/20                                                                    
2025-11-05 11:42:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #19/20                                                                    
2025-11-05 11:42:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, getting new HP set #20/20                                                                    
2025-11-05 11:42:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, requested 20 jobs, got 20, 214.88 s/job                                                      
2025-11-05 11:42:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #1/20 start                                                                             
2025-11-05 11:42:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #2/20 start                                                                             
2025-11-05 11:42:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #3/20 start                                                                             
2025-11-05 11:42:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #4/20 start                                                                             
2025-11-05 11:42:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #5/20 start                                                                             
2025-11-05 11:42:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #6/20 start                                                                             
2025-11-05 11:42:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #7/20 start                                                                             
2025-11-05 11:42:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #8/20 start                                                                             
2025-11-05 11:42:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #9/20 start                                                                             
2025-11-05 11:42:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #10/20 start                                                                            
2025-11-05 11:42:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #11/20 start                                                                            
2025-11-05 11:42:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #12/20 start                                                                            
2025-11-05 11:42:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #13/20 start                                                                            
2025-11-05 11:42:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #14/20 start                                                                            
2025-11-05 11:43:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #15/20 start                                                                            
2025-11-05 11:43:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #16/20 start                                                                            
2025-11-05 11:43:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #17/20 start                                                                            
2025-11-05 11:43:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #18/20 start                                                                            
2025-11-05 11:43:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #19/20 start                                                                            
2025-11-05 11:43:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, eval #20/20 start                                                                            
2025-11-05 11:43:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, starting new job                                                                             
2025-11-05 11:43:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending 10 = ∑10/20, started new job                                                         
2025-11-05 11:43:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending 11 = ∑11/20, started new job                                                         
2025-11-05 11:43:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending 13 = ∑13/20, started new job                                                         
2025-11-05 11:43:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending 14 = ∑14/20, started new job                                                         
2025-11-05 11:43:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending 15 = ∑15/20, started new job                                                         
2025-11-05 11:43:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending/unknown 15/1 = ∑16/20, started new job                                               
2025-11-05 11:43:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending/unknown 15/1 = ∑16/20, starting new job                                              
2025-11-05 11:43:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending/unknown 15/1 = ∑16/20, started new job                                               
2025-11-05 11:43:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending/unknown 15/1 = ∑16/20, starting new job                                              
2025-11-05 11:43:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending 17 = ∑17/20, started new job                                                         
2025-11-05 11:43:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending 16 = ∑16/20, starting new job                                                        
2025-11-05 11:43:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending/unknown 17/2 = ∑19/20, started new job                                               
2025-11-05 11:43:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending/unknown 17/3 = ∑20/20, started new job                                               
2025-11-05 11:43:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending/unknown 17/3 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 11:43:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, pending 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 11:43:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, running/pending 8/12 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 11:45:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs                                          
2025-11-05 11:46:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 11:47:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 606 done, running 20 = ∑20/20, new result: VAL_ACC: 47.540000, RUNTIME: 231.363000                     
2025-11-05 11:49:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 607 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-05 11:49:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 607 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-05 11:49:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 607 done, running 19 = ∑19/20, new result: VAL_ACC: 46.170000, RUNTIME: 218.798000                     
2025-11-05 11:49:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 607 done, running 19 = ∑19/20, new result: VAL_ACC: 52.990000, RUNTIME: 215.499000                     
2025-11-05 11:49:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 607 done, running 19 = ∑19/20, new result: VAL_ACC: 51.810000, RUNTIME: 219.855000                     
2025-11-05 11:49:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 607 done, running 19 = ∑19/20, new result: VAL_ACC: 48.710000, RUNTIME: 229.485000                     
2025-11-05 11:49:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 607 done, running 19 = ∑19/20, new result: VAL_ACC: 53.240000, RUNTIME: 225.184000                     
2025-11-05 11:54:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 612 done, running 14 = ∑14/20, waiting for 19 jobs, finished 5 jobs                                    
2025-11-05 11:54:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 612 done, running 14 = ∑14/20, waiting for 14 jobs                                                     
2025-11-05 12:00:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 612 done, running 14 = ∑14/20, new result: VAL_ACC: 61.400000, RUNTIME: 968.242000                     
2025-11-05 12:01:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 613 done, running/completed 11/2 = ∑13/20, waiting for 14 jobs, finished 1 job                         
2025-11-05 12:01:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 613 done, running/completed 11/2 = ∑13/20, waiting for 13 jobs                                         
2025-11-05 12:01:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 613 done, running/completed 11/2 = ∑13/20, new result: VAL_ACC: 60.190000, RUNTIME: 957.224000         
2025-11-05 12:01:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 613 done, running/completed 11/2 = ∑13/20, new result: VAL_ACC: 62.630000, RUNTIME: 973.077000         
2025-11-05 12:03:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 615 done, running 11 = ∑11/20, waiting for 13 jobs, finished 2 jobs                                    
2025-11-05 12:03:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 615 done, running 11 = ∑11/20, waiting for 11 jobs                                                     
2025-11-05 12:06:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 615 done, running 11 = ∑11/20, new result: VAL_ACC: 65.270000, RUNTIME: 1340.121000                    
2025-11-05 12:07:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 616 done, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job                                     
2025-11-05 12:07:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 616 done, running 10 = ∑10/20, waiting for 10 jobs                                                     
2025-11-05 12:07:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 616 done, running 10 = ∑10/20, new result: VAL_ACC: 64.220000, RUNTIME: 1373.207000                    
2025-11-05 12:09:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 617 done, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job                                       
2025-11-05 12:09:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 617 done, running 9 = ∑9/20, waiting for 9 jobs                                                        
2025-11-05 12:09:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 617 done, running 9 = ∑9/20, new result: VAL_ACC: 66.060000, RUNTIME: 1467.469000                      
2025-11-05 12:09:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 617 done, running 9 = ∑9/20, new result: VAL_ACC: 65.230000, RUNTIME: 1341.187000                      
2025-11-05 12:11:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 619 done, completed/running 4/3 = ∑7/20, waiting for 9 jobs, finished 2 jobs                           
2025-11-05 12:11:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 619 done, completed/running 4/3 = ∑7/20, waiting for 7 jobs                                            
2025-11-05 12:11:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 619 done, completed/running 4/3 = ∑7/20, new result: VAL_ACC: 65.420000, RUNTIME: 1589.232000          
2025-11-05 12:11:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 619 done, completed/running 4/3 = ∑7/20, new result: VAL_ACC: 65.940000, RUNTIME: 1560.467000          
2025-11-05 12:11:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 619 done, completed/running 4/3 = ∑7/20, new result: VAL_ACC: 66.430000, RUNTIME: 1482.718000          
2025-11-05 12:11:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 619 done, completed/running 4/3 = ∑7/20, new result: VAL_ACC: 65.030000, RUNTIME: 1512.702000          
2025-11-05 12:15:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 623 done, running 3 = ∑3/20, waiting for 7 jobs, finished 4 jobs                                       
2025-11-05 12:15:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 623 done, running 3 = ∑3/20, waiting for 3 jobs                                                        
2025-11-05 12:15:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 623 done, running 3 = ∑3/20, new result: VAL_ACC: 66.280000, RUNTIME: 1628.918000                      
2025-11-05 12:15:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 623 done, running 3 = ∑3/20, new result: VAL_ACC: 64.610000, RUNTIME: 1722.415000                      
2025-11-05 12:18:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 625 done, running 1 = ∑1/20, waiting for 3 jobs, finished 2 jobs                                       
2025-11-05 12:18:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 625 done, running 1 = ∑1/20, waiting for 1 job                                                         
2025-11-05 12:19:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 625 done, running 1 = ∑1/20, new result: VAL_ACC: 66.500000, RUNTIME: 2143.666000                      
2025-11-05 12:20:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, waiting for 1 job, finished 1 job                                                            
2025-11-05 13:37:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #1/20                                                                     
2025-11-05 13:37:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #2/20                                                                     
2025-11-05 13:37:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #3/20                                                                     
2025-11-05 13:37:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #4/20                                                                     
2025-11-05 13:37:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #5/20                                                                     
2025-11-05 13:37:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #6/20                                                                     
2025-11-05 13:37:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #7/20                                                                     
2025-11-05 13:37:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #8/20                                                                     
2025-11-05 13:37:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #9/20                                                                     
2025-11-05 13:37:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #10/20                                                                    
2025-11-05 13:37:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #11/20                                                                    
2025-11-05 13:37:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #12/20                                                                    
2025-11-05 13:37:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #13/20                                                                    
2025-11-05 13:37:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #14/20                                                                    
2025-11-05 13:37:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #15/20                                                                    
2025-11-05 13:37:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #16/20                                                                    
2025-11-05 13:37:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #17/20                                                                    
2025-11-05 13:37:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #18/20                                                                    
2025-11-05 13:37:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #19/20                                                                    
2025-11-05 13:37:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, getting new HP set #20/20                                                                    
2025-11-05 13:37:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, requested 20 jobs, got 20, 230.61 s/job                                                      
2025-11-05 13:37:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #1/20 start                                                                             
2025-11-05 13:37:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #2/20 start                                                                             
2025-11-05 13:38:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #3/20 start                                                                             
2025-11-05 13:38:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #4/20 start                                                                             
2025-11-05 13:38:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #5/20 start                                                                             
2025-11-05 13:38:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #6/20 start                                                                             
2025-11-05 13:38:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #7/20 start                                                                             
2025-11-05 13:38:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #8/20 start                                                                             
2025-11-05 13:38:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #9/20 start                                                                             
2025-11-05 13:38:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #10/20 start                                                                            
2025-11-05 13:38:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #11/20 start                                                                            
2025-11-05 13:38:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #12/20 start                                                                            
2025-11-05 13:38:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #13/20 start                                                                            
2025-11-05 13:38:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #14/20 start                                                                            
2025-11-05 13:38:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #15/20 start                                                                            
2025-11-05 13:38:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #16/20 start                                                                            
2025-11-05 13:38:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #17/20 start                                                                            
2025-11-05 13:38:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #18/20 start                                                                            
2025-11-05 13:38:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #19/20 start                                                                            
2025-11-05 13:38:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, eval #20/20 start                                                                            
2025-11-05 13:38:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, starting new job                                                                             
2025-11-05 13:38:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending/unknown 8/4 = ∑12/20, started new job                                                
2025-11-05 13:38:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending/unknown 8/5 = ∑13/20, started new job                                                
2025-11-05 13:38:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending/unknown 8/6 = ∑14/20, started new job                                                
2025-11-05 13:38:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending/unknown 8/8 = ∑16/20, started new job                                                
2025-11-05 13:38:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending/unknown 8/8 = ∑16/20, starting new job                                               
2025-11-05 13:38:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending 16 = ∑16/20, starting new job                                                        
2025-11-05 13:38:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending/unknown 8/8 = ∑16/20, starting new job                                               
2025-11-05 13:38:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending/unknown 16/2 = ∑18/20, started new job                                               
2025-11-05 13:38:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending/unknown 16/3 = ∑19/20, started new job                                               
2025-11-05 13:38:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending/unknown 16/4 = ∑20/20, started new job                                               
2025-11-05 13:38:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, pending 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 13:38:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, running/pending 7/13 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 13:44:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, running/pending 19/1 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 13:45:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 626 done, running/pending 19/1 = ∑20/20, new result: VAL_ACC: 57.590000, RUNTIME: 388.595000           
2025-11-05 13:47:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 627 done, running/pending 18/1 = ∑19/20, waiting for 20 jobs, finished 1 job                           
2025-11-05 13:47:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 627 done, running/pending 18/1 = ∑19/20, waiting for 19 jobs                                           
2025-11-05 13:47:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 627 done, running/pending 18/1 = ∑19/20, new result: VAL_ACC: 56.890000, RUNTIME: 405.363000           
2025-11-05 13:47:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 627 done, running/pending 18/1 = ∑19/20, new result: VAL_ACC: 57.070000, RUNTIME: 406.048000           
2025-11-05 13:47:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 627 done, running/pending 18/1 = ∑19/20, new result: VAL_ACC: 56.790000, RUNTIME: 416.833000           
2025-11-05 13:47:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 627 done, running/pending 18/1 = ∑19/20, new result: VAL_ACC: 55.990000, RUNTIME: 399.163000           
2025-11-05 13:51:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, waiting for 19 jobs, finished 4 jobs                         
2025-11-05 13:51:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, waiting for 15 jobs                                          
2025-11-05 13:51:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, new result: VAL_ACC: 53.330000, RUNTIME: 360.201000          
2025-11-05 13:51:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, new result: VAL_ACC: 54.830000, RUNTIME: 391.893000          
2025-11-05 13:51:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, new result: VAL_ACC: 53.310000, RUNTIME: 402.093000          
2025-11-05 13:51:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, new result: VAL_ACC: 54.050000, RUNTIME: 389.933000          
2025-11-05 13:51:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, new result: VAL_ACC: 55.010000, RUNTIME: 383.903000          
2025-11-05 13:51:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, new result: VAL_ACC: 53.020000, RUNTIME: 419.614000          
2025-11-05 13:51:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 631 done, running/completed 8/7 = ∑15/20, new result: VAL_ACC: 55.310000, RUNTIME: 372.721000          
2025-11-05 13:58:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 638 done, running 8 = ∑8/20, waiting for 15 jobs, finished 7 jobs                                      
2025-11-05 13:58:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 638 done, running 8 = ∑8/20, waiting for 8 jobs                                                        
2025-11-05 13:58:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 638 done, running 8 = ∑8/20, new result: VAL_ACC: 54.220000, RUNTIME: 403.627000                       
2025-11-05 13:59:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 639 done, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job                                        
2025-11-05 13:59:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 639 done, running 7 = ∑7/20, waiting for 7 jobs                                                        
2025-11-05 13:59:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 639 done, running 7 = ∑7/20, new result: VAL_ACC: 65.650000, RUNTIME: 1232.271000                      
2025-11-05 14:01:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 640 done, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job                                        
2025-11-05 14:01:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 640 done, running 6 = ∑6/20, waiting for 6 jobs                                                        
2025-11-05 14:03:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 640 done, running 6 = ∑6/20, new result: VAL_ACC: 67.560000, RUNTIME: 1483.351000                      
2025-11-05 14:05:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 641 done, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job                                        
2025-11-05 14:05:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 641 done, running 5 = ∑5/20, waiting for 5 jobs                                                        
2025-11-05 14:05:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 641 done, running 5 = ∑5/20, new result: VAL_ACC: 66.350000, RUNTIME: 1276.399000                      
2025-11-05 14:06:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 642 done, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job                                        
2025-11-05 14:06:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 642 done, running 4 = ∑4/20, waiting for 4 jobs                                                        
2025-11-05 14:07:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 642 done, running 4 = ∑4/20, new result: VAL_ACC: 67.670000, RUNTIME: 1416.567000                      
2025-11-05 14:08:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 643 done, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job                                        
2025-11-05 14:08:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 643 done, running 3 = ∑3/20, waiting for 3 jobs                                                        
2025-11-05 14:08:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 643 done, running 3 = ∑3/20, new result: VAL_ACC: 67.110000, RUNTIME: 1397.923000                      
2025-11-05 14:08:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 643 done, running 3 = ∑3/20, new result: VAL_ACC: 67.940000, RUNTIME: 1389.863000                      
2025-11-05 14:08:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 643 done, running 3 = ∑3/20, new result: VAL_ACC: 66.600000, RUNTIME: 1504.571000                      
2025-11-05 14:12:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, waiting for 3 jobs, finished 3 jobs                                                          
2025-11-05 15:21:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #1/20                                                                     
2025-11-05 15:21:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #2/20                                                                     
2025-11-05 15:21:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #3/20                                                                     
2025-11-05 15:21:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #4/20                                                                     
2025-11-05 15:21:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #5/20                                                                     
2025-11-05 15:21:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #6/20                                                                     
2025-11-05 15:21:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #7/20                                                                     
2025-11-05 15:21:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #8/20                                                                     
2025-11-05 15:21:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #9/20                                                                     
2025-11-05 15:21:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #10/20                                                                    
2025-11-05 15:21:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #11/20                                                                    
2025-11-05 15:21:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #12/20                                                                    
2025-11-05 15:21:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #13/20                                                                    
2025-11-05 15:21:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #14/20                                                                    
2025-11-05 15:21:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #15/20                                                                    
2025-11-05 15:21:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #16/20                                                                    
2025-11-05 15:21:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #17/20                                                                    
2025-11-05 15:21:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #18/20                                                                    
2025-11-05 15:21:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #19/20                                                                    
2025-11-05 15:21:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, getting new HP set #20/20                                                                    
2025-11-05 15:21:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, requested 20 jobs, got 20, 208.64 s/job                                                      
2025-11-05 15:21:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #1/20 start                                                                             
2025-11-05 15:21:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #2/20 start                                                                             
2025-11-05 15:21:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #3/20 start                                                                             
2025-11-05 15:21:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #4/20 start                                                                             
2025-11-05 15:21:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #5/20 start                                                                             
2025-11-05 15:21:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #6/20 start                                                                             
2025-11-05 15:21:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #7/20 start                                                                             
2025-11-05 15:21:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #8/20 start                                                                             
2025-11-05 15:21:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #9/20 start                                                                             
2025-11-05 15:21:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #10/20 start                                                                            
2025-11-05 15:21:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #11/20 start                                                                            
2025-11-05 15:21:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #12/20 start                                                                            
2025-11-05 15:22:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #13/20 start                                                                            
2025-11-05 15:22:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #14/20 start                                                                            
2025-11-05 15:22:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #15/20 start                                                                            
2025-11-05 15:22:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #16/20 start                                                                            
2025-11-05 15:22:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #17/20 start                                                                            
2025-11-05 15:22:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #18/20 start                                                                            
2025-11-05 15:22:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #19/20 start                                                                            
2025-11-05 15:22:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, eval #20/20 start                                                                            
2025-11-05 15:22:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, starting new job                                                                             
2025-11-05 15:22:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, pending/unknown 2/1 = ∑3/20, starting new job                                                
2025-11-05 15:22:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, pending/unknown 2/5 = ∑7/20, started new job                                                 
2025-11-05 15:22:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, pending/unknown 2/6 = ∑8/20, started new job                                                 
2025-11-05 15:22:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, pending/unknown 2/10 = ∑12/20, started new job                                               
2025-11-05 15:22:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, pending/unknown 2/10 = ∑12/20, starting new job                                              
2025-11-05 15:22:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, running/pending 1/13 = ∑14/20, started new job                                               
2025-11-05 15:22:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, running/pending 1/14 = ∑15/20, started new job                                               
2025-11-05 15:22:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, running/pending/unknown 1/14/1 = ∑16/20, started new job                                     
2025-11-05 15:22:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, running/pending/unknown 1/14/1 = ∑16/20, starting new job                                    
2025-11-05 15:22:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, running/pending/unknown 1/14/1 = ∑16/20, started new job                                     
2025-11-05 15:22:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, running/pending/unknown 1/14/5 = ∑20/20, started new job                                     
2025-11-05 15:22:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, running/pending 1/19 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 15:29:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, running/pending 15/5 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 15:34:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 646 done, running/pending 15/5 = ∑20/20, new result: VAL_ACC: 57.260000, RUNTIME: 716.155000           
2025-11-05 15:36:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 647 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-05 15:36:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 647 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-05 15:39:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 647 done, running 19 = ∑19/20, new result: VAL_ACC: 57.190000, RUNTIME: 690.128000                     
2025-11-05 15:40:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 648 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                                     
2025-11-05 15:40:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 648 done, running 18 = ∑18/20, waiting for 18 jobs                                                     
2025-11-05 15:40:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 648 done, running 18 = ∑18/20, new result: VAL_ACC: 59.050000, RUNTIME: 735.333000                     
2025-11-05 15:40:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 648 done, running 18 = ∑18/20, new result: VAL_ACC: 58.070000, RUNTIME: 729.160000                     
2025-11-05 15:40:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 648 done, running 18 = ∑18/20, new result: VAL_ACC: 60.590000, RUNTIME: 731.983000                     
2025-11-05 15:44:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, waiting for 18 jobs, finished 3 jobs                                    
2025-11-05 15:44:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, waiting for 15 jobs                                                     
2025-11-05 15:44:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 62.580000, RUNTIME: 797.100000                     
2025-11-05 15:44:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 58.150000, RUNTIME: 727.014000                     
2025-11-05 15:44:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 58.050000, RUNTIME: 711.844000                     
2025-11-05 15:44:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 57.920000, RUNTIME: 773.230000                     
2025-11-05 15:44:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 58.050000, RUNTIME: 673.048000                     
2025-11-05 15:44:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 57.710000, RUNTIME: 740.336000                     
2025-11-05 15:44:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 58.150000, RUNTIME: 720.587000                     
2025-11-05 15:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 60.600000, RUNTIME: 757.360000                     
2025-11-05 15:44:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 58.100000, RUNTIME: 739.007000                     
2025-11-05 15:44:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 60.600000, RUNTIME: 717.483000                     
2025-11-05 15:44:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 651 done, running 15 = ∑15/20, new result: VAL_ACC: 60.820000, RUNTIME: 773.647000                     
2025-11-05 15:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 662 done, completed/running 1/3 = ∑4/20, waiting for 15 jobs, finished 11 jobs                         
2025-11-05 15:56:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 662 done, completed/running 1/3 = ∑4/20, waiting for 4 jobs                                            
2025-11-05 15:56:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 662 done, completed/running 1/3 = ∑4/20, new result: VAL_ACC: 59.760000, RUNTIME: 1424.899000          
2025-11-05 15:56:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 662 done, completed/running 1/3 = ∑4/20, new result: VAL_ACC: 61.430000, RUNTIME: 1401.370000          
2025-11-05 15:56:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 662 done, completed/running 1/3 = ∑4/20, new result: VAL_ACC: 57.560000, RUNTIME: 1016.682000          
2025-11-05 15:56:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 662 done, completed/running 1/3 = ∑4/20, new result: VAL_ACC: 60.980000, RUNTIME: 1371.448000          
2025-11-05 16:01:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, waiting for 4 jobs, finished 4 jobs                                                          
2025-11-05 17:25:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #1/20                                                                     
2025-11-05 17:25:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #2/20                                                                     
2025-11-05 17:25:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #3/20                                                                     
2025-11-05 17:25:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #4/20                                                                     
2025-11-05 17:25:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #5/20                                                                     
2025-11-05 17:25:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #6/20                                                                     
2025-11-05 17:25:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #7/20                                                                     
2025-11-05 17:25:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #8/20                                                                     
2025-11-05 17:25:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #9/20                                                                     
2025-11-05 17:25:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #10/20                                                                    
2025-11-05 17:25:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #11/20                                                                    
2025-11-05 17:25:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #12/20                                                                    
2025-11-05 17:25:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #13/20                                                                    
2025-11-05 17:25:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #14/20                                                                    
2025-11-05 17:25:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #15/20                                                                    
2025-11-05 17:26:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #16/20                                                                    
2025-11-05 17:26:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #17/20                                                                    
2025-11-05 17:26:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #18/20                                                                    
2025-11-05 17:26:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #19/20                                                                    
2025-11-05 17:26:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, getting new HP set #20/20                                                                    
2025-11-05 17:26:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, requested 20 jobs, got 20, 254.14 s/job                                                      
2025-11-05 17:26:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #1/20 start                                                                             
2025-11-05 17:26:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #2/20 start                                                                             
2025-11-05 17:26:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #3/20 start                                                                             
2025-11-05 17:26:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #4/20 start                                                                             
2025-11-05 17:26:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #5/20 start                                                                             
2025-11-05 17:26:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #6/20 start                                                                             
2025-11-05 17:26:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #7/20 start                                                                             
2025-11-05 17:26:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #8/20 start                                                                             
2025-11-05 17:26:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #9/20 start                                                                             
2025-11-05 17:26:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #10/20 start                                                                            
2025-11-05 17:26:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #11/20 start                                                                            
2025-11-05 17:26:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #12/20 start                                                                            
2025-11-05 17:26:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #13/20 start                                                                            
2025-11-05 17:26:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #14/20 start                                                                            
2025-11-05 17:26:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #15/20 start                                                                            
2025-11-05 17:26:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #16/20 start                                                                            
2025-11-05 17:26:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #17/20 start                                                                            
2025-11-05 17:26:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #18/20 start                                                                            
2025-11-05 17:26:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #19/20 start                                                                            
2025-11-05 17:26:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, eval #20/20 start                                                                            
2025-11-05 17:26:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, starting new job                                                                             
2025-11-05 17:26:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running/pending/unknown 4/6/1 = ∑11/20, started new job                                      
2025-11-05 17:26:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running/pending 10/3 = ∑13/20, started new job                                               
2025-11-05 17:26:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running/pending 10/6 = ∑16/20, started new job                                               
2025-11-05 17:26:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running/pending 10/6 = ∑16/20, starting new job                                              
2025-11-05 17:26:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running/pending/unknown 10/6/2 = ∑18/20, started new job                                     
2025-11-05 17:26:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running/pending/unknown 10/6/3 = ∑19/20, started new job                                     
2025-11-05 17:26:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running/pending/unknown 10/6/4 = ∑20/20, started new job                                     
2025-11-05 17:27:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs                                          
2025-11-05 17:27:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 17:31:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 666 done, running 20 = ∑20/20, new result: VAL_ACC: 51.220000, RUNTIME: 219.763000                     
2025-11-05 17:32:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 667 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-05 17:32:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 667 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-05 17:32:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 667 done, running 19 = ∑19/20, new result: VAL_ACC: 53.450000, RUNTIME: 281.621000                     
2025-11-05 17:32:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 667 done, running 19 = ∑19/20, new result: VAL_ACC: 55.530000, RUNTIME: 227.433000                     
2025-11-05 17:35:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 669 done, running 17 = ∑17/20, waiting for 19 jobs, finished 2 jobs                                    
2025-11-05 17:35:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 669 done, running 17 = ∑17/20, waiting for 17 jobs                                                     
2025-11-05 17:36:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 669 done, running 17 = ∑17/20, new result: VAL_ACC: 65.530000, RUNTIME: 536.591000                     
2025-11-05 17:37:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 670 done, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job                                     
2025-11-05 17:37:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 670 done, running 16 = ∑16/20, waiting for 16 jobs                                                     
2025-11-05 17:37:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 670 done, running 16 = ∑16/20, new result: VAL_ACC: 63.820000, RUNTIME: 596.180000                     
2025-11-05 17:38:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 671 done, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job                                     
2025-11-05 17:38:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 671 done, running 15 = ∑15/20, waiting for 15 jobs                                                     
2025-11-05 17:38:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 671 done, running 15 = ∑15/20, new result: VAL_ACC: 64.720000, RUNTIME: 654.240000                     
2025-11-05 17:38:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 671 done, running 15 = ∑15/20, new result: VAL_ACC: 64.850000, RUNTIME: 650.176000                     
2025-11-05 17:41:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 673 done, running 13 = ∑13/20, waiting for 15 jobs, finished 2 jobs                                    
2025-11-05 17:41:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 673 done, running 13 = ∑13/20, waiting for 13 jobs                                                     
2025-11-05 17:41:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 673 done, running 13 = ∑13/20, new result: VAL_ACC: 64.780000, RUNTIME: 698.964000                     
2025-11-05 17:42:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 674 done, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job                                     
2025-11-05 17:42:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 674 done, running 12 = ∑12/20, waiting for 12 jobs                                                     
2025-11-05 17:43:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 674 done, running 12 = ∑12/20, new result: VAL_ACC: 51.480000, RUNTIME: 940.905000                     
2025-11-05 17:44:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 675 done, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job                                     
2025-11-05 17:44:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 675 done, running 11 = ∑11/20, waiting for 11 jobs                                                     
2025-11-05 17:52:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 675 done, running 11 = ∑11/20, new result: VAL_ACC: 48.340000, RUNTIME: 1514.673000                    
2025-11-05 17:54:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job                                     
2025-11-05 17:54:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, waiting for 10 jobs                                                     
2025-11-05 17:54:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 57.520000, RUNTIME: 1562.948000                    
2025-11-05 17:54:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 59.540000, RUNTIME: 1565.663000                    
2025-11-05 17:54:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 58.730000, RUNTIME: 1563.196000                    
2025-11-05 17:54:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 59.490000, RUNTIME: 1602.982000                    
2025-11-05 17:54:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 61.130000, RUNTIME: 1593.753000                    
2025-11-05 17:54:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 59.720000, RUNTIME: 1575.670000                    
2025-11-05 17:54:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 59.500000, RUNTIME: 1573.461000                    
2025-11-05 17:54:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 61.660000, RUNTIME: 1587.197000                    
2025-11-05 17:54:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 59.790000, RUNTIME: 1585.487000                    
2025-11-05 17:54:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 676 done, running 10 = ∑10/20, new result: VAL_ACC: 61.280000, RUNTIME: 1563.748000                    
2025-11-05 18:06:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, waiting for 10 jobs, finished 10 jobs                                                        
2025-11-05 19:44:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #1/20                                                                     
2025-11-05 19:44:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #2/20                                                                     
2025-11-05 19:44:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #3/20                                                                     
2025-11-05 19:44:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #4/20                                                                     
2025-11-05 19:44:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #5/20                                                                     
2025-11-05 19:44:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #6/20                                                                     
2025-11-05 19:44:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #7/20                                                                     
2025-11-05 19:44:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #8/20                                                                     
2025-11-05 19:44:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #9/20                                                                     
2025-11-05 19:44:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #10/20                                                                    
2025-11-05 19:44:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #11/20                                                                    
2025-11-05 19:44:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #12/20                                                                    
2025-11-05 19:44:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #13/20                                                                    
2025-11-05 19:44:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #14/20                                                                    
2025-11-05 19:44:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #15/20                                                                    
2025-11-05 19:44:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #16/20                                                                    
2025-11-05 19:44:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #17/20                                                                    
2025-11-05 19:44:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #18/20                                                                    
2025-11-05 19:44:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #19/20                                                                    
2025-11-05 19:44:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, getting new HP set #20/20                                                                    
2025-11-05 19:44:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, requested 20 jobs, got 20, 295.76 s/job                                                      
2025-11-05 19:44:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #1/20 start                                                                             
2025-11-05 19:44:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #2/20 start                                                                             
2025-11-05 19:44:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #3/20 start                                                                             
2025-11-05 19:45:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #4/20 start                                                                             
2025-11-05 19:45:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #5/20 start                                                                             
2025-11-05 19:45:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #6/20 start                                                                             
2025-11-05 19:45:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #7/20 start                                                                             
2025-11-05 19:45:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #8/20 start                                                                             
2025-11-05 19:45:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #9/20 start                                                                             
2025-11-05 19:45:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #10/20 start                                                                            
2025-11-05 19:45:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #11/20 start                                                                            
2025-11-05 19:45:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #12/20 start                                                                            
2025-11-05 19:45:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #13/20 start                                                                            
2025-11-05 19:45:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #14/20 start                                                                            
2025-11-05 19:45:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #15/20 start                                                                            
2025-11-05 19:45:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #16/20 start                                                                            
2025-11-05 19:45:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #17/20 start                                                                            
2025-11-05 19:45:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #18/20 start                                                                            
2025-11-05 19:45:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #19/20 start                                                                            
2025-11-05 19:45:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, eval #20/20 start                                                                            
2025-11-05 19:45:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, starting new job                                                                             
2025-11-05 19:45:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, running/pending 1/12 = ∑13/20, started new job                                               
2025-11-05 19:45:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, running/pending 1/13 = ∑14/20, started new job                                               
2025-11-05 19:45:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, running/pending/unknown 1/13/2 = ∑16/20, started new job                                     
2025-11-05 19:45:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, running/pending 1/15 = ∑16/20, starting new job                                              
2025-11-05 19:45:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, running/pending/unknown 1/15/2 = ∑18/20, started new job                                     
2025-11-05 19:45:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, running/pending/unknown 1/15/4 = ∑20/20, started new job                                     
2025-11-05 19:45:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, running/pending 1/19 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 19:45:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, running 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 19:49:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 686 done, running 20 = ∑20/20, new result: VAL_ACC: 27.010000, RUNTIME: 208.768000                     
2025-11-05 19:51:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 687 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                     
2025-11-05 19:51:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 687 done, running 19 = ∑19/20, waiting for 19 jobs                                                     
2025-11-05 19:51:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 687 done, running 19 = ∑19/20, new result: VAL_ACC: 37.440000, RUNTIME: 204.417000                     
2025-11-05 19:52:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 688 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                                     
2025-11-05 19:52:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 688 done, running 18 = ∑18/20, waiting for 18 jobs                                                     
2025-11-05 19:57:25 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 688 done, running 18 = ∑18/20, new result: VAL_ACC: 65.040000, RUNTIME: 684.018000                     
2025-11-05 19:58:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 689 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job                                     
2025-11-05 19:58:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 689 done, running 17 = ∑17/20, waiting for 17 jobs                                                     
2025-11-05 19:59:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 689 done, running 17 = ∑17/20, new result: VAL_ACC: 63.880000, RUNTIME: 730.041000                     
2025-11-05 20:00:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, waiting for 17 jobs, finished 1 job                         
2025-11-05 20:00:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, waiting for 16 jobs                                         
2025-11-05 20:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 66.650000, RUNTIME: 778.472000         
2025-11-05 20:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 65.620000, RUNTIME: 847.145000         
2025-11-05 20:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 65.360000, RUNTIME: 858.915000         
2025-11-05 20:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 66.090000, RUNTIME: 836.910000         
2025-11-05 20:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 64.250000, RUNTIME: 742.994000         
2025-11-05 20:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 66.230000, RUNTIME: 865.254000         
2025-11-05 20:00:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 65.080000, RUNTIME: 783.173000         
2025-11-05 20:00:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 65.100000, RUNTIME: 776.764000         
2025-11-05 20:00:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 66.960000, RUNTIME: 861.016000         
2025-11-05 20:00:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 66.290000, RUNTIME: 860.079000         
2025-11-05 20:00:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 690 done, completed/running 11/5 = ∑16/20, new result: VAL_ACC: 66.340000, RUNTIME: 838.916000         
2025-11-05 20:14:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 701 done, completed 5 = ∑5/20, waiting for 16 jobs, finished 11 jobs                                   
2025-11-05 20:14:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 701 done, completed 5 = ∑5/20, waiting for 5 jobs                                                      
2025-11-05 20:14:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 701 done, completed 5 = ∑5/20, new result: VAL_ACC: 65.160000, RUNTIME: 879.105000                     
2025-11-05 20:14:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 701 done, completed 5 = ∑5/20, new result: VAL_ACC: 65.070000, RUNTIME: 813.989000                     
2025-11-05 20:14:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 701 done, completed 5 = ∑5/20, new result: VAL_ACC: 65.790000, RUNTIME: 898.772000                     
2025-11-05 20:14:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 701 done, completed 5 = ∑5/20, new result: VAL_ACC: 65.900000, RUNTIME: 837.758000                     
2025-11-05 20:14:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 701 done, completed 5 = ∑5/20, new result: VAL_ACC: 61.020000, RUNTIME: 939.814000                     
2025-11-05 20:21:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, waiting for 5 jobs, finished 5 jobs                                                          
2025-11-05 22:02:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #1/20                                                                     
2025-11-05 22:02:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #2/20                                                                     
2025-11-05 22:02:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #3/20                                                                     
2025-11-05 22:02:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #4/20                                                                     
2025-11-05 22:02:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #5/20                                                                     
2025-11-05 22:02:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #6/20                                                                     
2025-11-05 22:02:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #7/20                                                                     
2025-11-05 22:02:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #8/20                                                                     
2025-11-05 22:02:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #9/20                                                                     
2025-11-05 22:02:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #10/20                                                                    
2025-11-05 22:02:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #11/20                                                                    
2025-11-05 22:02:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #12/20                                                                    
2025-11-05 22:02:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #13/20                                                                    
2025-11-05 22:02:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #14/20                                                                    
2025-11-05 22:02:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #15/20                                                                    
2025-11-05 22:02:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #16/20                                                                    
2025-11-05 22:02:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #17/20                                                                    
2025-11-05 22:02:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #18/20                                                                    
2025-11-05 22:02:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #19/20                                                                    
2025-11-05 22:02:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, getting new HP set #20/20                                                                    
2025-11-05 22:02:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, requested 20 jobs, got 20, 304.50 s/job                                                      
2025-11-05 22:02:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #1/20 start                                                                             
2025-11-05 22:02:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #2/20 start                                                                             
2025-11-05 22:02:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #3/20 start                                                                             
2025-11-05 22:02:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #4/20 start                                                                             
2025-11-05 22:02:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #5/20 start                                                                             
2025-11-05 22:02:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #6/20 start                                                                             
2025-11-05 22:02:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #7/20 start                                                                             
2025-11-05 22:02:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #8/20 start                                                                             
2025-11-05 22:02:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #9/20 start                                                                             
2025-11-05 22:02:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #10/20 start                                                                            
2025-11-05 22:02:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #11/20 start                                                                            
2025-11-05 22:02:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #12/20 start                                                                            
2025-11-05 22:02:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #13/20 start                                                                            
2025-11-05 22:02:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #14/20 start                                                                            
2025-11-05 22:02:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #15/20 start                                                                            
2025-11-05 22:02:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #16/20 start                                                                            
2025-11-05 22:02:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #17/20 start                                                                            
2025-11-05 22:02:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #18/20 start                                                                            
2025-11-05 22:02:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #19/20 start                                                                            
2025-11-05 22:03:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, eval #20/20 start                                                                            
2025-11-05 22:03:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, starting new job                                                                             
2025-11-05 22:03:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending 14 = ∑14/20, started new job                                                         
2025-11-05 22:03:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending 15 = ∑15/20, started new job                                                         
2025-11-05 22:03:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending 16 = ∑16/20, started new job                                                         
2025-11-05 22:03:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending 16 = ∑16/20, starting new job                                                        
2025-11-05 22:03:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending/unknown 16/2 = ∑18/20, started new job                                               
2025-11-05 22:03:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending/unknown 16/4 = ∑20/20, started new job                                               
2025-11-05 22:03:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending/unknown 16/4 = ∑20/20, waiting for 20 jobs                                           
2025-11-05 22:03:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending 20 = ∑20/20, waiting for 20 jobs                                                     
2025-11-05 22:46:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending 20 = ∑20/20, new result: VAL_ACC: 48.900000, RUNTIME: 212.012000                     
2025-11-05 22:46:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 706 done, pending 20 = ∑20/20, new result: VAL_ACC: 48.760000, RUNTIME: 210.926000                     
2025-11-05 22:49:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 708 done, running/completed/pending 7/1/10 = ∑18/20, waiting for 20 jobs, finished 2 jobs              
2025-11-05 22:49:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 708 done, running/completed/pending 7/1/10 = ∑18/20, waiting for 18 jobs                               
2025-11-05 22:49:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 708 done, running/completed/pending 7/1/10 = ∑18/20, new result: VAL_ACC: 51.780000, RUNTIME: 230.015000
2025-11-05 22:51:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 709 done, running/pending 7/10 = ∑17/20, waiting for 18 jobs, finished 1 job                            
2025-11-05 22:51:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 709 done, running/pending 7/10 = ∑17/20, waiting for 17 jobs                                            
2025-11-05 22:51:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 709 done, running/pending 7/10 = ∑17/20, new result: VAL_ACC: 54.340000, RUNTIME: 230.043000            
2025-11-05 22:51:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 709 done, running/pending 7/10 = ∑17/20, new result: VAL_ACC: 53.280000, RUNTIME: 232.490000            
2025-11-05 22:51:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 709 done, running/pending 7/10 = ∑17/20, new result: VAL_ACC: 48.970000, RUNTIME: 230.930000            
2025-11-05 22:51:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 709 done, running/pending 7/10 = ∑17/20, new result: VAL_ACC: 51.940000, RUNTIME: 228.823000            
2025-11-05 22:51:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 709 done, running/pending 7/10 = ∑17/20, new result: VAL_ACC: 45.900000, RUNTIME: 218.061000            
2025-11-05 22:51:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 709 done, running/pending 7/10 = ∑17/20, new result: VAL_ACC: 50.440000, RUNTIME: 218.443000            
2025-11-05 22:57:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, waiting for 17 jobs, finished 6 jobs                           
2025-11-05 22:57:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, waiting for 11 jobs                                            
2025-11-05 22:57:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 53.340000, RUNTIME: 218.577000            
2025-11-05 22:57:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 49.890000, RUNTIME: 221.284000            
2025-11-05 22:57:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 51.450000, RUNTIME: 222.436000            
2025-11-05 22:57:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 57.550000, RUNTIME: 241.112000            
2025-11-05 22:57:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 50.470000, RUNTIME: 223.104000            
2025-11-05 22:57:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 53.530000, RUNTIME: 216.450000            
2025-11-05 22:57:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 54.460000, RUNTIME: 216.347000            
2025-11-05 22:57:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 54.550000, RUNTIME: 220.407000            
2025-11-05 22:57:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 52.310000, RUNTIME: 231.068000            
2025-11-05 22:57:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 715 done, running/pending 1/10 = ∑11/20, new result: VAL_ACC: 51.360000, RUNTIME: 216.992000            
2025-11-05 23:10:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 725 done, running 1 = ∑1/20, waiting for 11 jobs, finished 10 jobs                                      
2025-11-05 23:10:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 725 done, running 1 = ∑1/20, waiting for 1 job                                                          
2025-11-05 23:10:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 725 done, running 1 = ∑1/20, new result: VAL_ACC: 58.840000, RUNTIME: 1576.877000                       
2025-11-05 23:12:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, waiting for 1 job, finished 1 job                                                             
2025-11-06 00:59:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #1/20                                                                      
2025-11-06 00:59:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #2/20                                                                      
2025-11-06 00:59:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #3/20                                                                      
2025-11-06 00:59:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #4/20                                                                      
2025-11-06 00:59:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #5/20                                                                      
2025-11-06 00:59:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #6/20                                                                      
2025-11-06 00:59:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #7/20                                                                      
2025-11-06 00:59:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #8/20                                                                      
2025-11-06 00:59:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #9/20                                                                      
2025-11-06 00:59:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #10/20                                                                     
2025-11-06 00:59:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #11/20                                                                     
2025-11-06 00:59:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #12/20                                                                     
2025-11-06 00:59:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #13/20                                                                     
2025-11-06 00:59:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #14/20                                                                     
2025-11-06 00:59:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #15/20                                                                     
2025-11-06 00:59:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #16/20                                                                     
2025-11-06 00:59:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #17/20                                                                     
2025-11-06 00:59:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #18/20                                                                     
2025-11-06 00:59:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #19/20                                                                     
2025-11-06 00:59:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, getting new HP set #20/20                                                                     
2025-11-06 00:59:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, requested 20 jobs, got 20, 322.22 s/job                                                       
2025-11-06 00:59:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #1/20 start                                                                              
2025-11-06 00:59:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #2/20 start                                                                              
2025-11-06 00:59:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #3/20 start                                                                              
2025-11-06 00:59:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #4/20 start                                                                              
2025-11-06 01:00:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #5/20 start                                                                              
2025-11-06 01:00:33 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #6/20 start                                                                              
2025-11-06 01:00:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #7/20 start                                                                              
2025-11-06 01:00:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #8/20 start                                                                              
2025-11-06 01:00:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #9/20 start                                                                              
2025-11-06 01:00:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #10/20 start                                                                             
2025-11-06 01:00:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #11/20 start                                                                             
2025-11-06 01:00:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #12/20 start                                                                             
2025-11-06 01:00:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #13/20 start                                                                             
2025-11-06 01:00:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #14/20 start                                                                             
2025-11-06 01:00:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #15/20 start                                                                             
2025-11-06 01:00:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #16/20 start                                                                             
2025-11-06 01:00:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #17/20 start                                                                             
2025-11-06 01:00:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #18/20 start                                                                             
2025-11-06 01:00:47 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #19/20 start                                                                             
2025-11-06 01:00:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, eval #20/20 start                                                                             
2025-11-06 01:00:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, starting new job                                                                              
2025-11-06 01:01:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, pending/unknown 6/2 = ∑8/20, started new job                                                  
2025-11-06 01:01:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, pending/unknown 6/4 = ∑10/20, started new job                                                 
2025-11-06 01:01:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, pending/unknown 6/7 = ∑13/20, started new job                                                 
2025-11-06 01:01:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, pending/unknown 6/9 = ∑15/20, started new job                                                 
2025-11-06 01:01:05 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running/pending 10/6 = ∑16/20, started new job                                                
2025-11-06 01:01:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running/pending 10/6 = ∑16/20, starting new job                                               
2025-11-06 01:01:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running 16 = ∑16/20, starting new job                                                         
2025-11-06 01:01:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running/pending 16/2 = ∑18/20, started new job                                                
2025-11-06 01:01:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running 16 = ∑16/20, starting new job                                                         
2025-11-06 01:01:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running/pending/unknown 16/2/1 = ∑19/20, started new job                                      
2025-11-06 01:01:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running/pending/unknown 16/2/2 = ∑20/20, started new job                                      
2025-11-06 01:01:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running/pending/unknown 16/2/2 = ∑20/20, waiting for 20 jobs                                  
2025-11-06 01:01:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running/pending 16/4 = ∑20/20, waiting for 20 jobs                                            
2025-11-06 01:01:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running 20 = ∑20/20, waiting for 20 jobs                                                      
2025-11-06 01:10:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 726 done, running 20 = ∑20/20, new result: VAL_ACC: 55.660000, RUNTIME: 559.886000                      
2025-11-06 01:12:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 727 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                      
2025-11-06 01:12:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 727 done, running 19 = ∑19/20, waiting for 19 jobs                                                      
2025-11-06 01:13:19 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 727 done, running 19 = ∑19/20, new result: VAL_ACC: 62.170000, RUNTIME: 704.096000                      
2025-11-06 01:15:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job                                      
2025-11-06 01:15:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, waiting for 18 jobs                                                      
2025-11-06 01:15:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 64.210000, RUNTIME: 751.045000                      
2025-11-06 01:15:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 64.380000, RUNTIME: 764.980000                      
2025-11-06 01:15:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 63.780000, RUNTIME: 766.184000                      
2025-11-06 01:15:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 62.000000, RUNTIME: 735.191000                      
2025-11-06 01:15:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 64.020000, RUNTIME: 768.827000                      
2025-11-06 01:15:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 62.990000, RUNTIME: 772.024000                      
2025-11-06 01:15:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 64.090000, RUNTIME: 758.927000                      
2025-11-06 01:15:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 62.850000, RUNTIME: 756.788000                      
2025-11-06 01:15:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 64.410000, RUNTIME: 746.875000                      
2025-11-06 01:15:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 62.000000, RUNTIME: 769.311000                      
2025-11-06 01:15:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 63.540000, RUNTIME: 772.551000                      
2025-11-06 01:15:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 64.270000, RUNTIME: 773.314000                      
2025-11-06 01:15:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 63.710000, RUNTIME: 810.289000                      
2025-11-06 01:15:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 64.370000, RUNTIME: 764.410000                      
2025-11-06 01:15:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 63.900000, RUNTIME: 801.743000                      
2025-11-06 01:15:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 62.820000, RUNTIME: 812.441000                      
2025-11-06 01:15:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 728 done, running 18 = ∑18/20, new result: VAL_ACC: 63.480000, RUNTIME: 762.314000                      
2025-11-06 01:35:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 745 done, completed 1 = ∑1/20, waiting for 18 jobs, finished 17 jobs                                    
2025-11-06 01:35:35 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 745 done, completed 1 = ∑1/20, waiting for 1 job                                                        
2025-11-06 01:35:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 745 done, completed 1 = ∑1/20, new result: VAL_ACC: 62.820000, RUNTIME: 851.685000                      
2025-11-06 01:37:40 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, waiting for 1 job, finished 1 job                                                             
2025-11-06 03:18:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #1/20                                                                      
2025-11-06 03:18:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #2/20                                                                      
2025-11-06 03:18:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #3/20                                                                      
2025-11-06 03:18:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #4/20                                                                      
2025-11-06 03:18:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #5/20                                                                      
2025-11-06 03:18:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #6/20                                                                      
2025-11-06 03:18:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #7/20                                                                      
2025-11-06 03:18:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #8/20                                                                      
2025-11-06 03:18:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #9/20                                                                      
2025-11-06 03:18:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #10/20                                                                     
2025-11-06 03:18:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #11/20                                                                     
2025-11-06 03:18:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #12/20                                                                     
2025-11-06 03:18:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #13/20                                                                     
2025-11-06 03:18:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #14/20                                                                     
2025-11-06 03:18:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #15/20                                                                     
2025-11-06 03:18:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #16/20                                                                     
2025-11-06 03:18:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #17/20                                                                     
2025-11-06 03:18:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #18/20                                                                     
2025-11-06 03:18:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #19/20                                                                     
2025-11-06 03:18:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, getting new HP set #20/20                                                                     
2025-11-06 03:18:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, requested 20 jobs, got 20, 303.70 s/job                                                       
2025-11-06 03:18:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #1/20 start                                                                              
2025-11-06 03:18:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #2/20 start                                                                              
2025-11-06 03:19:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #3/20 start                                                                              
2025-11-06 03:19:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #4/20 start                                                                              
2025-11-06 03:19:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #5/20 start                                                                              
2025-11-06 03:19:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #6/20 start                                                                              
2025-11-06 03:19:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #7/20 start                                                                              
2025-11-06 03:19:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #8/20 start                                                                              
2025-11-06 03:19:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #9/20 start                                                                              
2025-11-06 03:19:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #10/20 start                                                                             
2025-11-06 03:19:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #11/20 start                                                                             
2025-11-06 03:19:15 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #12/20 start                                                                             
2025-11-06 03:19:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #13/20 start                                                                             
2025-11-06 03:19:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #14/20 start                                                                             
2025-11-06 03:19:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #15/20 start                                                                             
2025-11-06 03:19:51 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #16/20 start                                                                             
2025-11-06 03:19:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #17/20 start                                                                             
2025-11-06 03:19:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #18/20 start                                                                             
2025-11-06 03:19:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #19/20 start                                                                             
2025-11-06 03:19:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, eval #20/20 start                                                                             
2025-11-06 03:20:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, starting new job                                                                              
2025-11-06 03:20:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running/pending 13/1 = ∑14/20, started new job                                                
2025-11-06 03:20:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running/pending 13/3 = ∑16/20, started new job                                                
2025-11-06 03:20:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running/pending 13/1 = ∑14/20, started new job                                                
2025-11-06 03:20:11 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running/pending 13/3 = ∑16/20, started new job                                                
2025-11-06 03:20:14 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running/pending 13/3 = ∑16/20, starting new job                                               
2025-11-06 03:20:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running/pending/unknown 13/3/2 = ∑18/20, started new job                                      
2025-11-06 03:20:16 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running/pending/unknown 13/3/4 = ∑20/20, started new job                                      
2025-11-06 03:20:18 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running/pending 13/7 = ∑20/20, waiting for 20 jobs                                            
2025-11-06 03:20:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running 20 = ∑20/20, waiting for 20 jobs                                                      
2025-11-06 03:24:00 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 746 done, running 20 = ∑20/20, new result: VAL_ACC: 46.860000, RUNTIME: 220.733000                      
2025-11-06 03:26:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, waiting for 20 jobs, finished 1 job                          
2025-11-06 03:26:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, waiting for 19 jobs                                          
2025-11-06 03:26:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 49.840000, RUNTIME: 280.744000          
2025-11-06 03:26:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 43.370000, RUNTIME: 219.071000          
2025-11-06 03:26:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 51.150000, RUNTIME: 314.770000          
2025-11-06 03:26:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 55.720000, RUNTIME: 333.197000          
2025-11-06 03:26:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 48.050000, RUNTIME: 237.578000          
2025-11-06 03:26:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 55.500000, RUNTIME: 311.556000          
2025-11-06 03:26:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 55.170000, RUNTIME: 317.631000          
2025-11-06 03:26:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 55.740000, RUNTIME: 326.125000          
2025-11-06 03:26:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 49.770000, RUNTIME: 327.784000          
2025-11-06 03:26:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 55.090000, RUNTIME: 333.703000          
2025-11-06 03:26:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 57.400000, RUNTIME: 297.390000          
2025-11-06 03:26:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 50.890000, RUNTIME: 233.395000          
2025-11-06 03:26:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 50.140000, RUNTIME: 309.648000          
2025-11-06 03:26:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 48.310000, RUNTIME: 223.455000          
2025-11-06 03:26:30 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 57.570000, RUNTIME: 320.937000          
2025-11-06 03:26:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 56.390000, RUNTIME: 340.746000          
2025-11-06 03:26:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 747 done, running/completed 14/5 = ∑19/20, new result: VAL_ACC: 56.600000, RUNTIME: 338.930000          
2025-11-06 03:46:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 764 done, running 2 = ∑2/20, waiting for 19 jobs, finished 17 jobs                                      
2025-11-06 03:46:20 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 764 done, running 2 = ∑2/20, waiting for 2 jobs                                                         
2025-11-06 03:46:22 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 764 done, running 2 = ∑2/20, new result: VAL_ACC: 57.050000, RUNTIME: 1155.174000                       
2025-11-06 03:46:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 764 done, running 2 = ∑2/20, new result: VAL_ACC: 59.310000, RUNTIME: 1117.852000                       
2025-11-06 03:49:24 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, waiting for 2 jobs, finished 2 jobs                                                           
2025-11-06 05:57:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #1/20                                                                      
2025-11-06 05:57:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #2/20                                                                      
2025-11-06 05:57:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #3/20                                                                      
2025-11-06 05:57:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #4/20                                                                      
2025-11-06 05:57:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #5/20                                                                      
2025-11-06 05:57:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #6/20                                                                      
2025-11-06 05:57:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #7/20                                                                      
2025-11-06 05:57:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #8/20                                                                      
2025-11-06 05:57:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #9/20                                                                      
2025-11-06 05:57:57 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #10/20                                                                     
2025-11-06 05:57:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #11/20                                                                     
2025-11-06 05:57:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #12/20                                                                     
2025-11-06 05:57:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #13/20                                                                     
2025-11-06 05:57:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #14/20                                                                     
2025-11-06 05:58:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #15/20                                                                     
2025-11-06 05:58:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #16/20                                                                     
2025-11-06 05:58:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #17/20                                                                     
2025-11-06 05:58:06 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #18/20                                                                     
2025-11-06 05:58:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #19/20                                                                     
2025-11-06 05:58:07 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, getting new HP set #20/20                                                                     
2025-11-06 05:58:08 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, requested 20 jobs, got 20, 386.05 s/job                                                       
2025-11-06 05:58:09 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #1/20 start                                                                              
2025-11-06 05:58:10 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #2/20 start                                                                              
2025-11-06 05:58:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #3/20 start                                                                              
2025-11-06 05:58:45 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #4/20 start                                                                              
2025-11-06 05:58:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #5/20 start                                                                              
2025-11-06 05:58:48 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #6/20 start                                                                              
2025-11-06 05:58:49 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #7/20 start                                                                              
2025-11-06 05:58:50 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #8/20 start                                                                              
2025-11-06 05:58:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #9/20 start                                                                              
2025-11-06 05:58:53 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #10/20 start                                                                             
2025-11-06 05:58:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #11/20 start                                                                             
2025-11-06 05:58:56 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #12/20 start                                                                             
2025-11-06 05:58:58 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #13/20 start                                                                             
2025-11-06 05:58:59 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #14/20 start                                                                             
2025-11-06 05:59:01 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #15/20 start                                                                             
2025-11-06 05:59:02 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #16/20 start                                                                             
2025-11-06 05:59:03 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #17/20 start                                                                             
2025-11-06 05:59:04 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #18/20 start                                                                             
2025-11-06 05:59:12 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #19/20 start                                                                             
2025-11-06 05:59:13 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, eval #20/20 start                                                                             
2025-11-06 05:59:21 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, starting new job                                                                              
2025-11-06 05:59:23 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, pending 3 = ∑3/20, starting new job                                                           
2025-11-06 05:59:26 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, pending/unknown 3/7 = ∑10/20, started new job                                                 
2025-11-06 05:59:27 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, pending/unknown 3/8 = ∑11/20, starting new job                                                
2025-11-06 05:59:28 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending 10/2 = ∑12/20, started new job                                                
2025-11-06 05:59:29 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending 10/5 = ∑15/20, started new job                                                
2025-11-06 05:59:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending/unknown 10/5/1 = ∑16/20, started new job                                      
2025-11-06 05:59:31 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending/unknown 10/5/1 = ∑16/20, starting new job                                     
2025-11-06 05:59:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending/unknown 10/5/1 = ∑16/20, started new job                                      
2025-11-06 05:59:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending 10/6 = ∑16/20, starting new job                                               
2025-11-06 05:59:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending 10/6 = ∑16/20, started new job                                                
2025-11-06 05:59:32 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending 10/6 = ∑16/20, starting new job                                               
2025-11-06 05:59:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending/unknown 10/7/2 = ∑19/20, started new job                                      
2025-11-06 05:59:34 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending/unknown 10/7/3 = ∑20/20, started new job                                      
2025-11-06 05:59:36 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running/pending/unknown 10/7/3 = ∑20/20, waiting for 20 jobs                                  
2025-11-06 05:59:39 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running 20 = ∑20/20, waiting for 20 jobs                                                      
2025-11-06 06:03:17 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 766 done, running 20 = ∑20/20, new result: VAL_ACC: 49.060000, RUNTIME: 218.236000                      
2025-11-06 06:05:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job                                      
2025-11-06 06:05:46 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, waiting for 19 jobs                                                      
2025-11-06 06:05:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 40.580000, RUNTIME: 227.083000                      
2025-11-06 06:05:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 51.700000, RUNTIME: 231.337000                      
2025-11-06 06:05:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 49.880000, RUNTIME: 228.966000                      
2025-11-06 06:05:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 53.670000, RUNTIME: 227.684000                      
2025-11-06 06:05:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 49.280000, RUNTIME: 228.746000                      
2025-11-06 06:05:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 54.620000, RUNTIME: 239.223000                      
2025-11-06 06:05:52 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 51.100000, RUNTIME: 221.625000                      
2025-11-06 06:05:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 36.530000, RUNTIME: 223.134000                      
2025-11-06 06:05:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 47.910000, RUNTIME: 214.673000                      
2025-11-06 06:05:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 34.660000, RUNTIME: 221.107000                      
2025-11-06 06:05:54 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 41.570000, RUNTIME: 218.885000                      
2025-11-06 06:05:55 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 767 done, running 19 = ∑19/20, new result: VAL_ACC: 46.480000, RUNTIME: 232.758000                      
2025-11-06 06:19:37 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, waiting for 19 jobs, finished 12 jobs                                      
2025-11-06 06:19:38 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, waiting for 7 jobs                                                         
2025-11-06 06:19:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, new result: VAL_ACC: 65.860000, RUNTIME: 1119.297000                       
2025-11-06 06:19:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, new result: VAL_ACC: 66.260000, RUNTIME: 1089.071000                       
2025-11-06 06:19:41 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, new result: VAL_ACC: 66.280000, RUNTIME: 976.428000                        
2025-11-06 06:19:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, new result: VAL_ACC: 59.140000, RUNTIME: 878.020000                        
2025-11-06 06:19:42 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, new result: VAL_ACC: 67.450000, RUNTIME: 1129.323000                       
2025-11-06 06:19:43 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, new result: VAL_ACC: 64.890000, RUNTIME: 1052.993000                       
2025-11-06 06:19:44 (2dea3aba-4ba9-4571-9519-13628c704362): BOTORCH_MODULAR, 779 done, running 7 = ∑7/20, new result: VAL_ACC: 65.460000, RUNTIME: 1063.062000                       

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1762405161.9944,20,2,10
1762405162.8505,20,2,10
1762405163.0566,20,7,35
1762405165.7343,20,7,35
1762405166.4443,20,15,75
1762405169.8447,20,15,75
1762405171.0649,20,16,80
1762405174.7003,20,16,80
1762405176.0062,20,20,100
1762405399.5183,20,20,100
1762405491.1721,20,7,35
1762406054.8892,20,7,35
1762406374.8918,20,0,0
1762406694.1788,20,0,0

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Download »cpu_ram_usage.csv« as file

timestamp,ram_usage_mb,cpu_usage_percent
1762242684,809.0625,12.3
1762242805,848.859375,10.9
1762242865,848.96875,10.9
1762242925,848.98046875,10.8
1762242985,855.43359375,10.8
1762243045,855.4375,11
1762243105,858.50390625,11.1
1762243165,858.49609375,10.9
1762243225,858.53515625,10.7
1762243285,859.296875,11
1762243345,859.40234375,10.8
1762243405,859.51953125,11
1762243465,859.5859375,10.9
1762243526,860,11
1762243586,860.21484375,11
1762243647,860.3046875,10.9
1762243707,860.3046875,11
1762243767,860.3046875,11.1
1762243829,860.5390625,11.2
1762243889,860.5390625,11.1
1762243949,860.5390625,11
1762244009,859.45703125,11.2
1762244069,859.546875,11.1
1762244131,860.046875,11.4
1762244191,860.046875,11.1
1762244251,859.90625,11.3
1762244311,859.90625,11.2
1762244371,859.90625,11.2
1762244488,887.76953125,12.5
1762244580,904.58984375,11.2
1762244640,892.54296875,11.3
1762244700,892.55078125,11.2
1762244790,893.08984375,11.7
1762245076,912.875,12.6
1762245201,925.51953125,12.1
1762245261,918.0234375,11.3
1762245322,918.0390625,11.3
1762245382,918.625,12
1762245444,928.765625,12.6
1762245509,935.7734375,11.7
1762245671,936.27734375,12.8
1762245739,958.640625,12.5
1762245799,959.01953125,11.5
1762245859,959.04296875,11.5
1762245919,955.4609375,11.8
1762245985,966.38671875,12.1
1762246046,964.140625,12.8
1762246252,959.7890625,12.8
1762246315,969.4921875,12.1
1762246376,955.46484375,11.6
1762246436,955.46875,11.6
1762246496,955.421875,11.6
1762246574,973.44140625,12.1
1762246785,976.11328125,12
1762247007,992.66796875,13
1762247099,994.296875,11.8
1762247159,994.26171875,11.8
1762247219,994.24609375,11.7
1762247279,994.6484375,12.5
1762247363,1009.6953125,12.2
1762247431,1006.234375,13.7
1762247757,1015.4609375,13.4
1762247825,1023.55859375,12.8
1762247885,1019.84375,12.1
1762247945,1019.8046875,12.1
1762248005,1020.05078125,12.5
1762248078,1021.046875,13.4
1762248150,1029.875,13.5
1762248630,1044.51953125,13.4
1762248693,1047.765625,12.8
1762248753,1045.69140625,11.9
1762248813,1045.65234375,11.8
1762248873,1045.6640625,11.9
1762248950,1052.86328125,12.1
1762249038,1058.41796875,13.4
1762249610,1051.015625,13.3
1762249671,1056.55078125,13
1762249731,1052.25,12
1762249791,1052.25,11.8
1762249851,1052.25390625,12
1762249923,1053.203125,12.7
1762250016,1064.51171875,13.2
1762250088,1064.6796875,13.3
1762250692,1072.890625,13.1
1762250786,1073.27734375,11.7
1762250846,1073.78125,11.8
1762250906,1073.8203125,11.7
1762250966,1074.8203125,11.6
1762251026,1090.29296875,12.3
1762251088,1102.32421875,11.7
1762251148,1112.81640625,11.5
1762251208,1115.81640625,11.7
1762251268,1116.34765625,11.6
1762251328,1119.3046875,11.7
1762251388,1119.3828125,11.7
1762251448,1119.31640625,11.2
1762251509,1123.90625,10.8
1762251573,1123.8828125,11.2
1762251633,1123.8828125,11.3
1762251693,1124.1484375,11.5
1762251766,1126.515625,12.3
1762251865,1137.21484375,12.6
1762251927,1131.671875,12.3
1762252609,1166.4140625,11.9
1762252681,1179.65234375,12.2
1762252741,1179.65234375,11
1762252801,1171.84375,11.2
1762252861,1171.8203125,11
1762252928,1172.328125,10.8
1762253011,1174.3984375,12.2
1762253077,1179.19140625,11.6
1762253977,1180.9765625,11.7
1762254038,1190.625,11.9
1762254098,1184.94140625,11.5
1762254158,1184.97265625,11.5
1762254218,1184.96875,11.7
1762254278,1184.95703125,11.7
1762254341,1184.94921875,12.3
1762254408,1184.984375,12.3
1762254473,1185.09765625,12.1
1762254541,1185.0546875,12.2
1762254602,1185.58984375,12.9
1762254676,1186.2578125,12.8
1762254751,1186.7578125,12.3
1762255829,1184.10546875,13.2
1762255896,1193.9609375,50
1762255957,1187.9453125,11.9
1762256038,1187.94140625,11.8
1762256098,1187.97265625,11.8
1762256159,1187.9765625,11.9
1762256219,1187.97265625,11.9
1762256280,1187.9765625,11.8
1762256341,1187.9453125,11.9
1762256401,1187.98046875,12
1762256461,1187.9765625,11.9
1762256524,1191.96875,12.7
1762256606,1191.6484375,12.7
1762256720,1208.9453125,12.3
1762256782,1205.1171875,13
1762257610,1200.15625,12.3
1762257673,1208.4921875,12.2
1762257733,1202.61328125,11.8
1762257793,1202.62109375,12
1762257853,1202.60546875,12.1
1762257913,1202.609375,11.9
1762257982,1202.65625,12.3
1762258080,1206.6953125,12.5
1762258157,1202.953125,12.2
1762258237,1204.61328125,12.7
1762258301,1206.75,12.3
1762258361,1204.765625,12
1762258421,1204.7578125,10.9
1762258481,1204.76171875,11.7
1762258541,1205.14453125,12.2
1762258601,1204.7578125,11.1
1762258668,1206.2578125,12
1762258733,1206.2578125,11.8
1762258794,1206.2578125,11.5
1762258854,1206.2578125,11.5
1762258914,1206.2578125,11.4
1762258975,1206.2578125,11.5
1762259035,1206.2578125,11.4
1762259095,1206.2578125,11.4
1762259155,1206.2578125,11.7
1762259215,1206.2578125,11.5
1762259279,1206.2578125,11.4
1762259339,1206.2578125,11.5
1762259403,1206.2578125,11.7
1762260367,1217.3125,12.5
1762260454,1235.03515625,11.9
1762260544,1235.53515625,10.7
1762260604,1231.37109375,7.2
1762260664,1231.453125,6.3
1762260724,1231.37109375,12.8
1762260784,1231.35546875,9
1762260844,1231.3828125,7.5
1762260904,1231.359375,12.6
1762260964,1231.37109375,11.3
1762261024,1231.37109375,10.4
1762261084,1231.37109375,12.7
1762261144,1231.3671875,11.3
1762261204,1231.3671875,6.7
1762261264,1231.37109375,12.3
1762261331,1231.41015625,7.3
1762261401,1231.40234375,8.3
1762261466,1231.59375,7.8
1762261532,1231.671875,11.8
1762261605,1232.328125,13.1
1762261675,1232.328125,10.6
1762261735,1232.328125,10.3
1762261795,1232.328125,10.8
1762261855,1232.328125,7.5
1762261921,1232.328125,10.8
1762261981,1232.328125,9.2
1762262043,1232.828125,10.6
1762262997,1202.23828125,11.3
1762263058,1228.3046875,11.7
1762263128,1222.66796875,9.2
1762263188,1222.66015625,7.7
1762263248,1222.6875,7.3
1762263318,1226.67578125,11.3
1762263378,1222.65234375,7.1
1762263448,1224.22265625,9.9
1762263522,1226.109375,7.3
1762263592,1237.69140625,8.2
1762263689,1249.10546875,9.5
1762263790,1283.49609375,10.2
1762264861,1389.67578125,10.8
1762264921,1399.9453125,10.3
1762264981,1390.95703125,9.1
1762265041,1390.9375,10.1
1762265101,1390.8984375,8.8
1762265161,1392.984375,10.4
1762265229,1394.92578125,9.6
1762265314,1394.93359375,10.7
1762265386,1392.97265625,13.4
1762265482,1396.04296875,12
1762265578,1394.03515625,13.2
1762265650,1394.03515625,13.4
1762266769,1364.4765625,14
1762266830,1371.4375,13.1
1762266890,1367.09765625,8
1762266950,1367.1015625,9.4
1762267010,1367.12890625,13.3
1762267070,1367.11328125,12.5
1762267130,1367.1015625,12.9
1762267190,1367.11328125,12.3
1762267261,1367.14453125,12.8
1762267321,1369.12890625,50
1762267381,1367.1015625,9.5
1762267441,1373.09375,9.8
1762267508,1369.140625,9.4
1762267656,1385.2734375,12.8
1762268059,1383.25390625,10
1762268445,1382.0859375,12.3
1762268546,1382.0859375,12.1
1762270021,1453.19921875,11.4
1762270084,1464.14453125,11.5
1762270144,1455.98046875,8.1
1762270204,1455.9375,7.9
1762270264,1455.9453125,9.9
1762270324,1455.9921875,11.2
1762270384,1455.95703125,11.2
1762270444,1455.984375,12.4
1762270504,1455.94921875,11.2
1762270564,1455.9453125,11.5
1762270624,1455.9453125,11.5
1762270684,1455.97265625,11.5
1762270744,1455.9921875,11.2
1762270805,1455.9453125,11.5
1762270865,1455.97265625,11.3
1762270926,1455.9453125,11.5
1762270986,1455.9609375,11.8
1762271053,1457.9765625,12.4
1762271246,1465.07421875,10.9
1762271425,1463.11328125,12.7
1762271522,1464.94921875,11.1
1762271612,1462.9609375,13.1
1762271672,1462.81640625,12.1
1762271753,1462.81640625,11.7
1762271898,1462.81640625,11.6
1762272035,1462.81640625,13.2
1762273371,1436.77734375,13.1
1762273434,1443.91015625,12
1762273494,1439.97265625,12.3
1762273554,1440.01953125,11.3
1762273626,1440.01953125,7.7
1762273687,1440.015625,11.3
1762273747,1439.97265625,10.1
1762273807,1440.19921875,10.7
1762273867,1439.96875,10.3
1762273927,1439.9765625,9.1
1762273987,1440.015625,12.5
1762274047,1439.984375,11.2
1762274107,1439.97265625,9.8
1762274167,1439.97265625,12.3
1762274227,1439.97265625,10.9
1762274287,1439.96484375,9.8
1762274347,1440.0234375,12.3
1762274433,1442.0078125,12.4
1762274719,1449.8828125,12.2
1762274955,1443.6640625,9.8
1762275143,1446.86328125,50
1762275333,1442.796875,8.7
1762276834,1427.66015625,9
1762276930,1435.6171875,10.8
1762276991,1433.34765625,11.2
1762277051,1433.34765625,11.1
1762277111,1433.3359375,10.3
1762277171,1433.359375,10.2
1762277231,1433.34765625,10.2
1762277292,1433.39453125,10.1
1762277352,1433.34765625,10.1
1762277441,1433.4375,11
1762277553,1440.86328125,9.8
1762277652,1446.2109375,11
1762278282,1487.15625,11.8
1762278375,1487.15625,11.7
1762278458,1487.15625,11.3
1762280625,1505.1171875,13.3
1762280685,1509.38671875,13
1762280745,1505.3984375,9.8
1762280805,1505.34375,12.7
1762280865,1505.37890625,12.2
1762280931,1506.4140625,11.5
1762281179,1508.57421875,11.3
1762281371,1506.45703125,11.9
1762281729,1508.38671875,12.3
1762281995,1506.65234375,10.8
1762283913,1520.14453125,12.3
1762283974,1526.43359375,11.6
1762284074,1520.3515625,11.2
1762284135,1520.375,11.3
1762284195,1520.40625,11.2
1762284259,1520.36328125,9.9
1762284319,1520.36328125,9.9
1762284379,1520.375,9.9
1762284440,1520.44921875,10
1762284500,1520.40234375,11.5
1762284560,1520.375,11.5
1762284620,1520.3671875,11.5
1762284684,1520.4453125,12.5
1762284792,1520.62109375,12.7
1762284948,1524.5546875,12.7
1762285094,1520.76171875,12.7
1762285366,1529.58203125,11.5
1762285571,1525.546875,12.6
1762285636,1525.546875,12.2
1762287611,1526.51171875,12.8
1762287672,1531.203125,12.2
1762287732,1527,12.2
1762287792,1526.984375,12.2
1762287852,1527.01171875,12.1
1762287912,1527.01171875,12.2
1762287972,1527.01171875,12.2
1762288039,1529.00390625,12.7
1762288147,1527.08984375,12.9
1762288256,1527.08203125,12.7
1762288451,1527.08203125,12.9
1762288631,1527.08203125,13.2
1762288830,1531.03515625,12.3
1762288986,1527.0625,13.2
1762289046,1527.0625,12
1762289106,1527.0625,11.9
1762289167,1527.0625,12
1762289227,1527.0625,12.1
1762289287,1527.0625,12
1762289347,1527.0625,12
1762289407,1527.0625,12
1762289467,1527.0625,12.1
1762289527,1527.0625,12
1762289587,1527.0625,12
1762289647,1527.0625,12
1762289708,1527.0625,11.5
1762289768,1527.0625,8.7
1762289828,1527.0625,12.1
1762289888,1527.0625,12.4
1762289948,1527.0625,12.5
1762290008,1527.0625,12.4
1762290068,1527.0625,12.1
1762290128,1527.0625,12.1
1762290188,1527.0625,11.9
1762290248,1527.0625,10.8
1762290308,1527.0625,10.7
1762290368,1527.0625,10.8
1762290428,1527.0625,12.4
1762290488,1527.0625,12.3
1762290548,1527.0625,12.3
1762290608,1527.0625,12.3
1762290668,1527.0625,12.4
1762290728,1527.0625,12.3
1762290788,1527.0625,12.3
1762290848,1527.0625,12.3
1762290908,1527.0625,12.2
1762290968,1527.0625,12.4
1762291028,1527.0625,12.3
1762291088,1527.0625,12.3
1762291148,1527.0625,12.2
1762291208,1527.0625,11.8
1762291268,1527.0625,11.9
1762291328,1527.0625,12
1762291388,1527.0625,12
1762291448,1527.0625,12.1
1762291508,1527.0625,11.9
1762291579,1527.5625,12.4
1762293952,1584.46484375,13
1762294015,1587.33203125,12.5
1762294085,1583.21875,11.5
1762294145,1583.2421875,11.6
1762294205,1583.2421875,11.5
1762294265,1583.2265625,11.6
1762294325,1583.2109375,11.8
1762294385,1583.2109375,11.6
1762294445,1583.2265625,11.5
1762294505,1583.19921875,11.5
1762294565,1583.2421875,11.5
1762294625,1583.234375,11.7
1762294685,1583.19140625,11.3
1762294745,1583.20703125,11.2
1762294805,1583.19921875,11.2
1762294865,1583.2109375,11.2
1762294925,1583.19140625,11.2
1762294985,1583.203125,11.2
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1762295105,1583.19921875,11.3
1762295165,1583.1953125,11.2
1762295225,1583.1953125,11.3
1762295285,1583.19921875,11.2
1762295345,1583.23828125,11.3
1762295413,1583.26953125,11.9
1762295477,1583.26953125,11.9
1762295537,1583.19140625,11.1
1762295621,1585.19921875,11.4
1762295688,1585.2265625,12.2
1762295749,1583.265625,11.6
1762295859,1583.27734375,12.2
1762295971,1583.25390625,12.1
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1762296151,1583.21484375,11.1
1762296211,1583.21875,11.2
1762296271,1583.21875,11.3
1762296331,1583.1953125,11.2
1762296391,1583.19921875,11.1
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1762296692,1583.21875,11.2
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1762297712,1583.1875,11.4
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1762297832,1583.19921875,11.6
1762297892,1583.1953125,11.5
1762297952,1583.2109375,11.4
1762298012,1583.20703125,11.5
1762298072,1583.1953125,11.5
1762298132,1583.1953125,11.4
1762298192,1583.2109375,11.4
1762298252,1583.20703125,11.3
1762298312,1583.19921875,11.3
1762298372,1583.1953125,11.3
1762298432,1583.21875,11.3
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1762298612,1583.21484375,11.2
1762298672,1583.1953125,11.2
1762298742,1585.1875,11.3
1762298807,1585.2109375,12.2
1762298874,1583.2421875,12.1
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1762299000,1583.19921875,11.6
1762299060,1583.19921875,11.6
1762299148,1583.19921875,11.9
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VAL_ACC (goal: maximize)

Best value: 68.24
Achieved at:
- run_time = 3654
- RUNTIME = 3648.863
- epochs = 82
- lr = 0.0006345689357601
- batch_size = 8
- hidden_size = 1687
- dropout = 0.17676534526014
- num_dense_layers = 1
- filter = 77
- num_conv_layers = 5

RUNTIME (goal: minimize)

Best value: 194.995
Achieved at:
- run_time = 199
- VAL_ACC = 19.33
- epochs = 20
- lr = 0.0001
- batch_size = 617
- hidden_size = 1602
- dropout = 0.5
- num_dense_layers = 1
- filter = 7
- num_conv_layers = 4

Parameter statistics