trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,VAL_ACC,NORMALIZED_RUNTIME,epochs,lr,batch_size,hidden_size,dropout,num_dense_layers,filter,num_conv_layers,wdec,act,init
0,1761218112,23,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218135,1761219883,1748,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 122 --learning_rate 0.0006638176083564759 --batch_size 54 --hidden_size 828 --dropout 0.26365303993225097656 --num_dense_layers 1 --filter 38 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c67,1138018,0_0,COMPLETED,SOBOL,60.42000000000000170530256582424,24.1000000000000014210854715202,122,0.000663817608356475903456928034,54,828,0.2636530399322509765625,1,38,4,0,leaky_relu,normal
1,1761218112,39,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218151,1761218969,818,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00052705799592658875 --batch_size 787 --hidden_size 3083 --dropout 0.08057594811543822289 --num_dense_layers 2 --filter 50 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c143,1138023,1_0,COMPLETED,SOBOL,58.729999999999996873611962655559,11.236000000000000653699316899292,73,0.000527057995926588748920871286,787,3083,0.080575948115438222885131835938,2,50,6,0,leaky_relu,normal
2,1761218112,28,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218140,1761218665,525,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 46 --learning_rate 0.0008660396615974605 --batch_size 423 --hidden_size 1518 --dropout 0.16817117203027009964 --num_dense_layers 2 --filter 13 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c95,1138015,2_0,COMPLETED,SOBOL,44.509999999999998010480339871719,7.075000000000000177635683940025,46,0.000866039661597460498285161457,423,1518,0.168171172030270099639892578125,2,13,7,0,leaky_relu,normal
3,1761218112,10,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218122,1761219231,1109,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00010268939901143313 --batch_size 672 --hidden_size 2776 --dropout 0.48759651370346546173 --num_dense_layers 1 --filter 76 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c141,1138006,3_0,COMPLETED,SOBOL,58.64000000000000056843418860808,15.291000000000000369482222595252,100,0.000102689399011433125713174674,672,2776,0.48759651370346546173095703125,1,76,5,0,leaky_relu,normal
4,1761218112,10,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218122,1761219205,1083,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00097157645253464586 --batch_size 1008 --hidden_size 2247 --dropout 0.40685215964913368225 --num_dense_layers 1 --filter 20 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c135,1138011,4_0,COMPLETED,SOBOL,51.92999999999999971578290569596,14.945999999999999729993760411162,104,0.000971576452534645860700801556,1008,2247,0.4068521596491336822509765625,1,20,7,0,leaky_relu,normal
5,1761218112,21,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218133,1761218471,338,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 25 --learning_rate 0.00026453200671821832 --batch_size 215 --hidden_size 2050 --dropout 0.24989429395645856857 --num_dense_layers 2 --filter 69 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c149,1138016,5_0,COMPLETED,SOBOL,60.28000000000000113686837721616,4.546999999999999708677478338359,25,0.000264532006718218315206164748,215,2050,0.249894293956458568572998046875,2,69,5,0,leaky_relu,normal
6,1761218112,28,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218140,1761218896,756,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 68 --learning_rate 0.00060033104363828901 --batch_size 614 --hidden_size 3616 --dropout 0.00129643408581614494 --num_dense_layers 2 --filter 31 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c95,1138014,6_0,COMPLETED,SOBOL,54.8999999999999985789145284798,10.38499999999999978683717927197,68,0.000600331043638289009282960063,614,3616,0.001296434085816144943237304688,2,31,4,0,leaky_relu,normal
7,1761218112,11,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218123,1761219731,1608,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 143 --learning_rate 0.00040748537955805655 --batch_size 354 --hidden_size 299 --dropout 0.3419581991620361805 --num_dense_layers 1 --filter 58 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c137,1138010,7_0,COMPLETED,SOBOL,60.619999999999997442046151263639,22.172000000000000596855898038484,143,0.000407485379558056553649797449,354,299,0.341958199162036180496215820312,1,58,6,0,leaky_relu,normal
8,1761218112,25,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218137,1761219599,1462,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 139 --learning_rate 0.0008180170737206936 --batch_size 571 --hidden_size 1627 --dropout 0.11826464021578431129 --num_dense_layers 1 --filter 17 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c121,1138013,8_0,COMPLETED,SOBOL,50.229999999999996873611962655559,20.199000000000001620037437533028,139,0.00081801707372069359675698097,571,1627,0.118264640215784311294555664062,1,17,7,0,leaky_relu,normal
9,1761218112,15,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218127,1761218798,671,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00017419806281104684 --batch_size 271 --hidden_size 2415 --dropout 0.28749009734019637108 --num_dense_layers 2 --filter 62 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c141,1138007,9_0,COMPLETED,SOBOL,63.229999999999996873611962655559,9.198999999999999843680598132778,55,0.000174198062811046838283327021,271,2415,0.287490097340196371078491210938,2,62,5,0,leaky_relu,normal
10,1761218112,9,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218121,1761218445,324,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 28 --learning_rate 0.00073817972848191861 --batch_size 956 --hidden_size 147 --dropout 0.46174761373549699783 --num_dense_layers 2 --filter 23 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1138009,10_0,COMPLETED,SOBOL,34.950000000000002842170943040401,4.384000000000000341060513164848,28,0.000738179728481918608594403164,956,147,0.461747613735496997833251953125,2,23,4,0,leaky_relu,normal
11,1761218112,23,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218135,1761219577,1442,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00048188884928822517 --batch_size 139 --hidden_size 4023 --dropout 0.13249894417822360992 --num_dense_layers 1 --filter 56 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c121,1138012,11_0,COMPLETED,SOBOL,62.07999999999999829469743417576,19.8999999999999985789145284798,117,0.000481888849288225173516514444,139,4023,0.13249894417822360992431640625,1,56,6,0,leaky_relu,normal
12,1761218112,10,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218122,1761219101,979,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 89 --learning_rate 0.00064681489849463113 --batch_size 507 --hidden_size 3490 --dropout 0.20750653371214866638 --num_dense_layers 1 --filter 35 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1138008,12_0,COMPLETED,SOBOL,60.009999999999998010480339871719,13.446999999999999175770426518284,89,0.000646814898494631131294074766,507,3490,0.2075065337121486663818359375,1,35,4,0,leaky_relu,normal
13,1761218112,17,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218129,1761218579,450,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 40 --learning_rate 0.00033443798273801801 --batch_size 716 --hidden_size 676 --dropout 0.3857613755390048027 --num_dense_layers 2 --filter 44 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c103,1138017,13_0,COMPLETED,SOBOL,54.869999999999997442046151263639,6.155999999999999694466623623157,40,0.000334437982738018007352470695,716,676,0.385761375539004802703857421875,2,44,6,0,leaky_relu,normal
14,1761218112,21,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218133,1761219147,1014,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00089523701965808875 --batch_size 130 --hidden_size 2944 --dropout 0.36493908939883112907 --num_dense_layers 2 --filter 5 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c53,1138019,14_0,COMPLETED,SOBOL,34.020000000000003126388037344441,13.97499999999999964472863211995,83,0.000895237019658088749481106294,130,2944,0.364939089398831129074096679688,2,5,7,0,leaky_relu,normal
15,1761218112,24,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218136,1761219559,1423,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 128 --learning_rate 0.00030772382551804187 --batch_size 839 --hidden_size 1095 --dropout 0.04179012449458241463 --num_dense_layers 1 --filter 74 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c53,1138020,15_0,COMPLETED,SOBOL,62.840000000000003410605131648481,19.621999999999999886313162278384,128,0.000307723825518041872294910943,839,1095,0.041790124494582414627075195312,1,74,5,0,leaky_relu,normal
16,1761218112,40,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218152,1761219677,1525,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 131 --learning_rate 0.00092626951159909367 --batch_size 306 --hidden_size 3724 --dropout 0.48327097343280911446 --num_dense_layers 2 --filter 47 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c51,1138022,16_0,COMPLETED,SOBOL,59.75,21.039000000000001477928890381008,131,0.000926269511599093673358262802,306,3724,0.483270973432809114456176757812,2,47,7,0,leaky_relu,normal
17,1761218112,40,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218152,1761219055,903,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 80 --learning_rate 0.00027624153383076192 --batch_size 534 --hidden_size 446 --dropout 0.1734887133352458477 --num_dense_layers 1 --filter 42 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c51,1138024,17_0,COMPLETED,SOBOL,58.259999999999998010480339871719,12.086000000000000298427949019242,80,0.00027624153383076191677070188,534,446,0.173488713335245847702026367188,1,42,5,0,leaky_relu,normal
18,1761218112,52,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218164,1761218647,483,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00061588535644114021 --batch_size 167 --hidden_size 2139 --dropout 0.07721171434968709946 --num_dense_layers 1 --filter 80 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c49,1138025,18_0,COMPLETED,SOBOL,62.729999999999996873611962655559,6.469999999999999751310042483965,37,0.000615885356441140210427553914,167,2139,0.077211714349687099456787109375,1,80,4,0,leaky_relu,normal
19,1761218113,39,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761218152,1761219122,970,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 93 --learning_rate 0.0003658034977503121 --batch_size 928 --hidden_size 1903 --dropout 0.26602563261985778809 --num_dense_layers 2 --filter 9 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c51,1138021,19_0,COMPLETED,SOBOL,40.619999999999997442046151263639,13.336000000000000298427949019242,93,0.000365803497750312098506925151,928,1903,0.2660256326198577880859375,2,9,6,0,leaky_relu,normal
20,1761219977,37,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220014,1761220264,250,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 306 --hidden_size 8 --dropout 0.20675645623169267018 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c118,1138818,20_0,COMPLETED,BOTORCH_MODULAR,25.9499999999999992894572642399,3.392999999999999793942606629571,20,0.001000000000000000020816681712,306,8,0.206756456231692670177935156062,1,61,4,0,leaky_relu,normal
21,1761219977,7,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761219984,1761220241,257,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 316 --hidden_size 8 --dropout 0.20942990662389812662 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c147,1138810,21_0,COMPLETED,BOTORCH_MODULAR,26.62000000000000099475983006414,3.430000000000000159872115546023,20,0.001000000000000000020816681712,316,8,0.209429906623898126616367676434,1,61,4,0,leaky_relu,normal
22,1761219977,8,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761219985,1761220241,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 625 --hidden_size 756 --dropout 0.19827481270185032258 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c154,1138808,22_0,COMPLETED,BOTORCH_MODULAR,54.53000000000000113686837721616,3.389000000000000234479102800833,20,0.001000000000000000020816681712,625,756,0.198274812701850322582686203532,1,61,4,0,leaky_relu,normal
23,1761219977,6,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761219983,1761220252,269,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 174 --hidden_size 467 --dropout 0.21718465569036130014 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c118,1138811,23_0,COMPLETED,BOTORCH_MODULAR,56.03999999999999914734871708788,3.592999999999999971578290569596,20,0.001000000000000000020816681712,174,467,0.21718465569036130013991225951,1,61,4,0,leaky_relu,normal
24,1761219977,7,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761219984,1761220240,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 319 --hidden_size 8 --dropout 0.20710627375339898948 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c148,1138809,24_0,COMPLETED,BOTORCH_MODULAR,25.64000000000000056843418860808,3.419000000000000039079850466806,20,0.001000000000000000020816681712,319,8,0.207106273753398989478924363539,1,61,4,0,leaky_relu,normal
25,1761219977,24,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220001,1761220276,275,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 289 --hidden_size 8 --dropout 0.211620920586299055 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c109,1138814,25_0,COMPLETED,BOTORCH_MODULAR,24.82999999999999829469743417576,3.496999999999999886313162278384,20,0.001000000000000000020816681712,289,8,0.211620920586299054999557256451,1,61,4,0,leaky_relu,normal
26,1761219977,8,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761219985,1761220247,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 325 --hidden_size 8 --dropout 0.2049503140081995467 --num_dense_layers 1 --filter 62 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c106,1138815,26_0,COMPLETED,BOTORCH_MODULAR,25.5500000000000007105427357601,3.463999999999999968025576890795,20,0.001000000000000000020816681712,325,8,0.204950314008199546700339510608,1,62,4,0,leaky_relu,normal
27,1761219977,36,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220013,1761220270,257,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 331 --hidden_size 8 --dropout 0.20690708159866058602 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c105,1138820,27_0,COMPLETED,BOTORCH_MODULAR,21.35999999999999943156581139192,3.403999999999999914734871708788,20,0.001000000000000000020816681712,331,8,0.206907081598660586019278184722,1,61,4,0,leaky_relu,normal
28,1761219977,6,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761219983,1761220240,257,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 302 --hidden_size 125 --dropout 0.21171684646128180463 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c118,1138812,28_0,COMPLETED,BOTORCH_MODULAR,50.67999999999999971578290569596,3.458000000000000184741111297626,20,0.001000000000000000020816681712,302,125,0.211716846461281804625542690701,1,61,4,0,leaky_relu,normal
29,1761219977,18,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761219995,1761220270,275,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 291 --hidden_size 105 --dropout 0.21326191604857119843 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c105,1138816,29_0,COMPLETED,BOTORCH_MODULAR,51.130000000000002557953848736361,3.496999999999999886313162278384,20,0.001000000000000000020816681712,291,105,0.213261916048571198434302687019,1,61,4,0,leaky_relu,normal
30,1761219977,6,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761219983,1761220239,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 340 --hidden_size 8 --dropout 0.20366477559156137556 --num_dense_layers 1 --filter 62 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c118,1138813,30_0,COMPLETED,BOTORCH_MODULAR,24.83999999999999985789145284798,3.411000000000000031974423109205,20,0.001000000000000000020816681712,340,8,0.203664775591561375556182156288,1,62,4,0,leaky_relu,normal
31,1761219977,38,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220015,1761220271,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 364 --hidden_size 162 --dropout 0.204208574041858687 --num_dense_layers 1 --filter 62 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c106,1138819,31_0,COMPLETED,BOTORCH_MODULAR,48.659999999999996589394868351519,3.431000000000000049737991503207,20,0.001000000000000000020816681712,364,162,0.204208574041858686998196503737,1,62,4,0,leaky_relu,normal
32,1761219977,18,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761219995,1761220270,275,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 318 --hidden_size 8 --dropout 0.20333108309401079494 --num_dense_layers 1 --filter 62 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c105,1138817,32_0,COMPLETED,BOTORCH_MODULAR,24.37999999999999900524016993586,3.506000000000000227373675443232,20,0.001000000000000000020816681712,318,8,0.203331083094010794942718689526,1,62,4,0,leaky_relu,normal
33,1761219977,51,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220028,1761220320,292,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 313 --hidden_size 8 --dropout 0.20678626159718987987 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c90,1138821,33_0,COMPLETED,BOTORCH_MODULAR,25.21999999999999886313162278384,3.581999999999999850786025490379,20,0.001000000000000000020816681712,313,8,0.206786261597189879868352591075,1,61,4,0,leaky_relu,normal
34,1761219977,58,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220035,1761220315,280,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 306 --hidden_size 8 --dropout 0.20454173704463601835 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c87,1138822,34_0,COMPLETED,BOTORCH_MODULAR,24.71000000000000085265128291212,3.443000000000000060396132539609,20,0.001000000000000000020816681712,306,8,0.20454173704463601835001895779,1,61,4,0,leaky_relu,normal
35,1761219977,44,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220021,1761220283,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 455 --hidden_size 48 --dropout 0.18443793062638977331 --num_dense_layers 1 --filter 66 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c82,1138824,35_0,COMPLETED,BOTORCH_MODULAR,42.78000000000000113686837721616,3.517999999999999793942606629571,20,0.001000000000000000020816681712,455,48,0.1844379306263897733142442803,1,66,4,0,leaky_relu,normal
36,1761219978,48,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220026,1761220307,281,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 306 --hidden_size 8 --dropout 0.2088009044197940145 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c84,1138823,36_0,COMPLETED,BOTORCH_MODULAR,25.92999999999999971578290569596,3.512000000000000010658141036402,20,0.001000000000000000020816681712,306,8,0.208800904419794014499345280456,1,61,4,0,leaky_relu,normal
37,1761219978,40,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220018,1761220280,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 307 --hidden_size 8 --dropout 0.20976821504223522319 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c81,1138827,37_0,COMPLETED,BOTORCH_MODULAR,26.80999999999999872102307563182,3.488999999999999879207734920783,20,0.001000000000000000020816681712,307,8,0.209768215042235223188882287104,1,61,4,0,leaky_relu,normal
38,1761219978,38,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220016,1761220277,261,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 316 --hidden_size 8 --dropout 0.20843739243143269424 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c81,1138828,38_0,COMPLETED,BOTORCH_MODULAR,25.87999999999999900524016993586,3.471000000000000085265128291212,20,0.001000000000000000020816681712,316,8,0.208437392431432694239745728737,1,61,4,0,leaky_relu,normal
39,1761219978,40,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220018,1761220274,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 309 --hidden_size 8 --dropout 0.20914922616463343941 --num_dense_layers 1 --filter 61 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c82,1138826,39_0,COMPLETED,BOTORCH_MODULAR,24.07999999999999829469743417576,3.452999999999999847233311811578,20,0.001000000000000000020816681712,309,8,0.209149226164633439406514980874,1,61,4,0,leaky_relu,normal
40,1761220435,30,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220465,1761220708,243,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00060206429738671771 --batch_size 497 --hidden_size 839 --dropout 0.32615662136659556714 --num_dense_layers 1 --filter 4 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c137,1138977,40_0,COMPLETED,BOTORCH_MODULAR,24.26000000000000156319401867222,3.220000000000000195399252334028,20,0.000602064297386717709945069821,497,839,0.326156621366595567135249211788,1,4,6,0,leaky_relu,normal
41,1761220435,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220464,1761220714,250,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00040161486326444399 --batch_size 576 --hidden_size 1045 --dropout 0.12837175337481074311 --num_dense_layers 1 --filter 49 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1138973,41_0,COMPLETED,BOTORCH_MODULAR,55.630000000000002557953848736361,3.376999999999999779731751914369,20,0.000401614863264443985695073547,576,1045,0.128371753374810743109080135582,1,49,6,0,leaky_relu,normal
42,1761220435,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220464,1761220713,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00016799669055577165 --batch_size 532 --hidden_size 2439 --dropout 0.29908431473029706282 --num_dense_layers 1 --filter 37 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c141,1138971,42_0,COMPLETED,BOTORCH_MODULAR,48.520000000000003126388037344441,3.325000000000000177635683940025,20,0.000167996690555771645454730123,532,2439,0.299084314730297062823183296132,1,37,6,0,leaky_relu,normal
43,1761220435,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220464,1761220713,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00013968917241391975 --batch_size 527 --hidden_size 2437 --dropout 0.31209366004281885454 --num_dense_layers 1 --filter 37 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1138975,43_0,COMPLETED,BOTORCH_MODULAR,47.8999999999999985789145284798,3.383000000000000007105427357601,20,0.000139689172413919753847066918,527,2437,0.312093660042818854538637651785,1,37,6,0,leaky_relu,normal
44,1761220435,32,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220467,1761220724,257,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00021767817031561644 --batch_size 542 --hidden_size 2441 --dropout 0.33346505068532689142 --num_dense_layers 1 --filter 37 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c134,1138979,44_0,COMPLETED,BOTORCH_MODULAR,50.35999999999999943156581139192,3.422000000000000152766688188422,20,0.000217678170315616439922656866,542,2441,0.333465050685326891422022299594,1,37,6,0,leaky_relu,normal
45,1761220435,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220464,1761220714,250,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00036367624397487986 --batch_size 653 --hidden_size 1067 --dropout 0.11926878360996588657 --num_dense_layers 1 --filter 48 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1138974,45_0,COMPLETED,BOTORCH_MODULAR,53.840000000000003410605131648481,3.366999999999999992894572642399,20,0.000363676243974879855394566341,653,1067,0.119268783609965886571835369523,1,48,6,0,leaky_relu,normal
46,1761220435,31,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220466,1761220722,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00042732216174244393 --batch_size 497 --hidden_size 1037 --dropout 0.11992391263579151028 --num_dense_layers 1 --filter 48 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c141,1138972,46_0,COMPLETED,BOTORCH_MODULAR,57.07000000000000028421709430404,3.45100000000000006750155989721,20,0.000427322161742443927361090328,497,1037,0.119923912635791510283844729656,1,48,5,0,leaky_relu,normal
47,1761220435,32,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220467,1761220703,236,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00059972127351530806 --batch_size 516 --hidden_size 841 --dropout 0.31246872048296403523 --num_dense_layers 1 --filter 5 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c138,1138976,47_0,COMPLETED,BOTORCH_MODULAR,25.96999999999999886313162278384,3.188000000000000166977542903624,20,0.000599721273515308058409123415,516,841,0.312468720482964035234374478023,1,5,6,0,leaky_relu,normal
48,1761220435,35,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220470,1761220707,237,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00063747422688337923 --batch_size 497 --hidden_size 834 --dropout 0.30038857279001507372 --num_dense_layers 1 --filter 4 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c134,1138978,48_0,COMPLETED,BOTORCH_MODULAR,22.91000000000000014210854715202,3.178999999999999825917029738775,20,0.000637474226883379233195292546,497,834,0.300388572790015073721292537812,1,4,6,0,leaky_relu,normal
49,1761220435,32,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220467,1761220710,243,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00013720721899253751 --batch_size 684 --hidden_size 2437 --dropout 0.31972060793429557535 --num_dense_layers 1 --filter 37 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c133,1138980,49_0,COMPLETED,BOTORCH_MODULAR,45.67000000000000170530256582424,3.297000000000000152766688188422,20,0.000137207218992537512830542923,684,2437,0.319720607934295575347505291575,1,37,6,0,leaky_relu,normal
50,1761220435,64,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220499,1761220749,250,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00040202500115975521 --batch_size 683 --hidden_size 1024 --dropout 0.12581916843937329675 --num_dense_layers 1 --filter 48 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c131,1138982,50_0,COMPLETED,BOTORCH_MODULAR,52.75,3.317000000000000170530256582424,20,0.000402025001159755208078594446,683,1024,0.1258191684393732967528478639,1,48,6,0,leaky_relu,normal
51,1761220435,64,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220499,1761220755,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00039005311883933818 --batch_size 407 --hidden_size 1043 --dropout 0.1186061219977258413 --num_dense_layers 1 --filter 49 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c131,1138983,51_0,COMPLETED,BOTORCH_MODULAR,55.479999999999996873611962655559,3.399000000000000021316282072803,20,0.000390053118839338178267667212,407,1043,0.118606121997725841299420324049,1,49,6,0,leaky_relu,normal
52,1761220435,59,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220494,1761220743,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00016702699000301712 --batch_size 524 --hidden_size 2438 --dropout 0.31897763484832797332 --num_dense_layers 1 --filter 36 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c130,1138984,52_0,COMPLETED,BOTORCH_MODULAR,48.46999999999999886313162278384,3.362999999999999989341858963598,20,0.000167026990003017115600861264,524,2438,0.318977634848327973315917915897,1,36,6,0,leaky_relu,normal
53,1761220435,63,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220498,1761220740,242,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001308416236667935 --batch_size 659 --hidden_size 2439 --dropout 0.33275631593944643427 --num_dense_layers 1 --filter 38 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c126,1138988,53_0,COMPLETED,BOTORCH_MODULAR,45.700000000000002842170943040401,3.274999999999999911182158029987,20,0.000130841623666793504957364669,659,2439,0.332756315939446434271076213918,1,38,6,0,leaky_relu,normal
54,1761220435,61,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220496,1761220752,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00019364212116965797 --batch_size 499 --hidden_size 2438 --dropout 0.29667325272273331604 --num_dense_layers 1 --filter 36 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c94,1138989,54_0,COMPLETED,BOTORCH_MODULAR,49.549999999999997157829056959599,3.41999999999999992894572642399,20,0.000193642121169657966447269493,499,2438,0.296673252722733316044667617462,1,36,6,0,leaky_relu,normal
55,1761220435,61,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220496,1761220745,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00010931223427775799 --batch_size 537 --hidden_size 2438 --dropout 0.32231119204152408608 --num_dense_layers 1 --filter 37 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c68,1138990,55_0,COMPLETED,BOTORCH_MODULAR,43.729999999999996873611962655559,3.358999999999999985789145284798,20,0.000109312234277757986734315454,537,2438,0.322311192041524086082660005559,1,37,6,0,leaky_relu,normal
56,1761220436,60,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220496,1761220752,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00041140289515349257 --batch_size 314 --hidden_size 1087 --dropout 0.1073768392544800776 --num_dense_layers 1 --filter 48 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c131,1138981,56_0,COMPLETED,BOTORCH_MODULAR,55.6499999999999985789145284798,3.427000000000000046185277824407,20,0.000411402895153492565664260505,314,1087,0.107376839254480077601172638424,1,48,6,0,leaky_relu,normal
57,1761220436,65,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220501,1761220749,248,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00016770744302680037 --batch_size 524 --hidden_size 2439 --dropout 0.31673987353888410912 --num_dense_layers 1 --filter 36 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c126,1138987,57_0,COMPLETED,BOTORCH_MODULAR,48.369999999999997442046151263639,3.354999999999999982236431605997,20,0.000167707443026800370397544349,524,2439,0.316739873538884109116509080195,1,36,6,0,leaky_relu,normal
58,1761220436,62,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220498,1761220739,241,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00014781378904707364 --batch_size 789 --hidden_size 2437 --dropout 0.31076624564718241528 --num_dense_layers 1 --filter 37 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c126,1138986,58_0,COMPLETED,BOTORCH_MODULAR,45.28999999999999914734871708788,3.265000000000000124344978758018,20,0.000147813789047073640024396179,789,2437,0.310766245647182415279274891873,1,37,6,0,leaky_relu,normal
59,1761220436,58,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220494,1761220743,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00023213937311526324 --batch_size 494 --hidden_size 2306 --dropout 0.20193944538534733257 --num_dense_layers 1 --filter 62 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c130,1138985,59_0,COMPLETED,BOTORCH_MODULAR,56.17000000000000170530256582424,3.378000000000000113686837721616,20,0.000232139373115263235357666471,494,2306,0.201939445385347332573289236279,1,62,5,0,leaky_relu,normal
60,1761220961,14,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220975,1761221263,288,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047530936181533332 --batch_size 141 --hidden_size 2417 --dropout 0.15173211874891615047 --num_dense_layers 2 --filter 55 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c147,1139241,60_0,COMPLETED,BOTORCH_MODULAR,56.14000000000000056843418860808,3.868999999999999772626324556768,20,0.000475309361815333321788640264,141,2417,0.15173211874891615047467041677,2,55,5,0,leaky_relu,normal
61,1761220961,16,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220977,1761221233,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00049462711445738528 --batch_size 579 --hidden_size 2416 --dropout 0.03674720677403590235 --num_dense_layers 2 --filter 51 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c149,1139238,61_0,COMPLETED,BOTORCH_MODULAR,55.549999999999997157829056959599,3.405000000000000248689957516035,20,0.00049462711445738528036331072,579,2416,0.036747206774035902354658134072,2,51,5,0,leaky_relu,normal
62,1761220961,17,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220978,1761221234,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00052361473090748757 --batch_size 436 --hidden_size 1067 --dropout 0.08885752761352763707 --num_dense_layers 1 --filter 72 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1139245,62_0,COMPLETED,BOTORCH_MODULAR,56.82000000000000028421709430404,3.458000000000000184741111297626,20,0.000523614730907487574244896233,436,1067,0.088857527613527637067036835106,1,72,4,0,leaky_relu,normal
63,1761220961,14,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220975,1761221237,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047516593667689197 --batch_size 363 --hidden_size 2460 --dropout 0.14639640549307744721 --num_dense_layers 2 --filter 58 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c141,1139243,63_0,COMPLETED,BOTORCH_MODULAR,57.049999999999997157829056959599,3.487000000000000099475983006414,20,0.0004751659366768919688130135,363,2460,0.146396405493077447212968422718,2,58,5,0,leaky_relu,normal
64,1761220961,15,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220976,1761221232,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00046406455603817057 --batch_size 387 --hidden_size 2417 --dropout 0.12254437918938421159 --num_dense_layers 2 --filter 58 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c155,1139237,64_0,COMPLETED,BOTORCH_MODULAR,57.71999999999999886313162278384,3.467000000000000081712414612412,20,0.000464064556038170565686190594,387,2417,0.122544379189384211592539486446,2,58,5,0,leaky_relu,normal
65,1761220961,16,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220977,1761221259,282,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00055384570415394584 --batch_size 140 --hidden_size 1064 --dropout 0.15550180994022166914 --num_dense_layers 1 --filter 71 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c143,1139242,65_0,COMPLETED,BOTORCH_MODULAR,58.28000000000000113686837721616,3.758999999999999896971303314785,20,0.000553845704153945839025297015,140,1064,0.15550180994022166913737237337,1,71,4,0,leaky_relu,normal
66,1761220961,15,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220976,1761221232,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.000489169363728416 --batch_size 671 --hidden_size 2417 --dropout 0.03896500159679103237 --num_dense_layers 2 --filter 57 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c147,1139240,66_0,COMPLETED,BOTORCH_MODULAR,56.240000000000001989519660128281,3.397000000000000241584530158434,20,0.000489169363728416003132826173,671,2417,0.038965001596791032367761431487,2,57,5,0,leaky_relu,normal
67,1761220961,14,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220975,1761221232,257,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047373240907125038 --batch_size 270 --hidden_size 2421 --dropout 0.17233196474723011526 --num_dense_layers 2 --filter 56 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c147,1139239,67_0,COMPLETED,BOTORCH_MODULAR,55.869999999999997442046151263639,3.480999999999999872102307563182,20,0.000473732409071250381172452082,270,2421,0.172331964747230115264642336115,2,56,5,0,leaky_relu,normal
68,1761220961,47,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221008,1761221270,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047375150400902127 --batch_size 283 --hidden_size 2414 --dropout 0.15751583102082075682 --num_dense_layers 2 --filter 56 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c134,1139250,68_0,COMPLETED,BOTORCH_MODULAR,57.229999999999996873611962655559,3.5,20,0.000473751504009021270208412702,283,2414,0.157515831020820756824818431596,2,56,5,0,leaky_relu,normal
69,1761220961,43,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221004,1761221260,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00053326524343464278 --batch_size 888 --hidden_size 2471 --dropout 0 --num_dense_layers 2 --filter 51 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1139247,69_0,COMPLETED,BOTORCH_MODULAR,55.17000000000000170530256582424,3.444999999999999840127884453977,20,0.000533265243434642775659237923,888,2471,0,2,51,5,0,leaky_relu,normal
70,1761220961,14,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220975,1761221238,263,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00055704213726045311 --batch_size 949 --hidden_size 1039 --dropout 0.12105022730250843133 --num_dense_layers 1 --filter 73 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1139246,70_0,COMPLETED,BOTORCH_MODULAR,56.490000000000001989519660128281,3.488999999999999879207734920783,20,0.00055704213726045310930284904,949,1039,0.121050227302508431326266702399,1,73,4,0,leaky_relu,normal
71,1761220961,45,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221006,1761221288,282,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00044979164271497505 --batch_size 154 --hidden_size 2437 --dropout 0.16172727768504832624 --num_dense_layers 2 --filter 61 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c137,1139249,71_0,COMPLETED,BOTORCH_MODULAR,57.409999999999996589394868351519,3.802999999999999936051153781591,20,0.000449791642714975048976400185,154,2437,0.161727277685048326238970162194,2,61,5,0,leaky_relu,normal
72,1761220961,45,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221006,1761221262,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047493960791280507 --batch_size 630 --hidden_size 2416 --dropout 0.02498729398316365188 --num_dense_layers 2 --filter 58 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c138,1139248,72_0,COMPLETED,BOTORCH_MODULAR,57.340000000000003410605131648481,3.387000000000000010658141036402,20,0.000474939607912805070426970344,630,2416,0.024987293983163651883705469459,2,58,5,0,leaky_relu,normal
73,1761220961,14,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761220975,1761221225,250,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00060602800802416162 --batch_size 951 --hidden_size 3892 --dropout 0 --num_dense_layers 1 --filter 50 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c141,1139244,73_0,COMPLETED,BOTORCH_MODULAR,56.89000000000000056843418860808,3.38499999999999978683717927197,20,0.000606028008024161622332992572,951,3892,0,1,50,5,0,leaky_relu,normal
74,1761220961,51,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221012,1761221274,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00047846952587746107 --batch_size 660 --hidden_size 2421 --dropout 0.0253281665724799758 --num_dense_layers 2 --filter 59 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c134,1139251,74_0,COMPLETED,BOTORCH_MODULAR,54.92000000000000170530256582424,3.508999999999999896971303314785,20,0.000478469525877461073111451828,660,2421,0.025328166572479975798826146161,2,59,5,0,leaky_relu,normal
75,1761220961,46,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221007,1761221256,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00056114535407196704 --batch_size 992 --hidden_size 2430 --dropout 0 --num_dense_layers 2 --filter 44 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c131,1139254,75_0,COMPLETED,BOTORCH_MODULAR,53.939999999999997726263245567679,3.307999999999999829469743417576,20,0.000561145354071967039817636635,992,2430,0,2,44,5,0,leaky_relu,normal
76,1761220961,46,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221007,1761221283,276,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00046862839225129537 --batch_size 174 --hidden_size 2417 --dropout 0.18147281512737953313 --num_dense_layers 2 --filter 57 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c131,1139255,76_0,COMPLETED,BOTORCH_MODULAR,56.689999999999997726263245567679,3.745999999999999996447286321199,20,0.000468628392251295368582664214,174,2417,0.181472815127379533128859634417,2,57,5,0,leaky_relu,normal
77,1761220962,46,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221008,1761221263,255,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00048034098172919647 --batch_size 642 --hidden_size 2418 --dropout 0.10079859357384753082 --num_dense_layers 2 --filter 59 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c133,1139252,77_0,COMPLETED,BOTORCH_MODULAR,57.53000000000000113686837721616,3.423000000000000042632564145606,20,0.000480340981729196470333825841,642,2418,0.100798593573847530824316720555,2,59,5,0,leaky_relu,normal
78,1761220962,49,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221011,1761221273,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00049571309263669243 --batch_size 400 --hidden_size 2409 --dropout 0.13201627438385174496 --num_dense_layers 2 --filter 52 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c133,1139253,78_0,COMPLETED,BOTORCH_MODULAR,55.799999999999997157829056959599,3.482000000000000206057393370429,20,0.000495713092636692427214728518,400,2409,0.132016274383851744955720164398,2,52,5,0,leaky_relu,normal
79,1761220967,40,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221007,1761221255,248,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00053610416515701093 --batch_size 758 --hidden_size 2159 --dropout 0.47366620204656878501 --num_dense_layers 1 --filter 66 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c131,1139256,79_0,COMPLETED,BOTORCH_MODULAR,56.53000000000000113686837721616,3.368999999999999772626324556768,20,0.000536104165157010926524849825,758,2159,0.4736662020465687850112601609,1,66,6,0,leaky_relu,normal
80,1761221518,63,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221581,1761221857,276,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.0001 --batch_size 712 --hidden_size 2272 --dropout 0.37630939198707735738 --num_dense_layers 2 --filter 80 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c111,1139482,80_0,COMPLETED,BOTORCH_MODULAR,50.78000000000000113686837721616,3.674999999999999822364316059975,21,0.000100000000000000004792173602,712,2272,0.376309391987077357377700081997,2,80,5,0,leaky_relu,normal
81,1761221517,30,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221547,1761221841,294,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00099490402980540208 --batch_size 162 --hidden_size 2392 --dropout 0.30293479344317458812 --num_dense_layers 1 --filter 32 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c116,1139472,81_0,COMPLETED,BOTORCH_MODULAR,53.96000000000000085265128291212,3.943999999999999950262008496793,22,0.000994904029805402084080112601,162,2392,0.302934793443174588123412149798,1,32,6,0,leaky_relu,normal
82,1761221518,32,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221550,1761221831,281,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00098385538321391639 --batch_size 381 --hidden_size 2480 --dropout 0.27612395706453796151 --num_dense_layers 1 --filter 31 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c125,1139469,82_0,COMPLETED,BOTORCH_MODULAR,54.729999999999996873611962655559,3.713999999999999968025576890795,22,0.00098385538321391638807988933,381,2480,0.276123957064537961514361086302,1,31,6,0,leaky_relu,normal
83,1761221517,44,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221561,1761221847,286,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 23 --learning_rate 0.00093844340824530005 --batch_size 368 --hidden_size 1037 --dropout 0.5 --num_dense_layers 1 --filter 51 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c114,1139475,83_0,COMPLETED,BOTORCH_MODULAR,53.880000000000002557953848736361,3.858000000000000095923269327614,23,0.000938443408245300046514880687,368,1037,0.5,1,51,4,0,leaky_relu,normal
84,1761221518,43,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221561,1761221847,286,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00100000000000000002 --batch_size 530 --hidden_size 2523 --dropout 0.28574130564863986503 --num_dense_layers 1 --filter 34 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c114,1139476,84_0,COMPLETED,BOTORCH_MODULAR,53.46000000000000085265128291212,3.709999999999999964472863211995,22,0.001000000000000000020816681712,530,2523,0.285741305648639865033544538164,1,34,6,0,leaky_relu,normal
85,1761221518,62,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221580,1761221854,274,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.0009130910234885633 --batch_size 401 --hidden_size 2645 --dropout 0.31226862444749897696 --num_dense_layers 1 --filter 31 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c113,1139478,85_0,COMPLETED,BOTORCH_MODULAR,54.07000000000000028421709430404,3.669000000000000039079850466806,22,0.000913091023488563297352826886,401,2645,0.312268624447498976959280980736,1,31,6,0,leaky_relu,normal
86,1761221517,32,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221549,1761221824,275,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00073243859443866222 --batch_size 308 --hidden_size 573 --dropout 0.45188060231469845407 --num_dense_layers 1 --filter 56 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c116,1139474,86_0,COMPLETED,BOTORCH_MODULAR,57.240000000000001989519660128281,3.743999999999999772626324556768,22,0.000732438594438662216902502511,308,573,0.45188060231469845406948593336,1,56,5,0,leaky_relu,normal
87,1761221517,36,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221553,1761221820,267,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00100000000000000002 --batch_size 870 --hidden_size 2556 --dropout 0.27195994889738100975 --num_dense_layers 1 --filter 30 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c122,1139470,87_0,COMPLETED,BOTORCH_MODULAR,50.46000000000000085265128291212,3.560999999999999943156581139192,22,0.001000000000000000020816681712,870,2556,0.271959948897381009746965219165,1,30,6,0,leaky_relu,normal
88,1761221518,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221547,1761221828,281,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00097877860895476555 --batch_size 187 --hidden_size 2442 --dropout 0.26643536920482846497 --num_dense_layers 1 --filter 27 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c116,1139473,88_0,COMPLETED,BOTORCH_MODULAR,52.090000000000003410605131648481,3.794000000000000039079850466806,22,0.000978778608954765545757670253,187,2442,0.2664353692048284649729339435,1,27,6,0,leaky_relu,normal
89,1761221517,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221546,1761221814,268,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00079472950804291968 --batch_size 979 --hidden_size 561 --dropout 0.49854799847897646181 --num_dense_layers 1 --filter 56 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1139468,89_0,COMPLETED,BOTORCH_MODULAR,48.409999999999996589394868351519,3.613999999999999879207734920783,22,0.000794729508042919677648918686,979,561,0.498547998478976461811384979228,1,56,5,0,leaky_relu,normal
90,1761221517,31,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221548,1761221816,268,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00100000000000000002 --batch_size 952 --hidden_size 1074 --dropout 0.5 --num_dense_layers 1 --filter 53 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c122,1139471,90_0,COMPLETED,BOTORCH_MODULAR,52.6000000000000014210854715202,3.586999999999999744204615126364,22,0.001000000000000000020816681712,952,1074,0.5,1,53,4,0,leaky_relu,normal
91,1761221518,60,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221578,1761221846,268,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00100000000000000002 --batch_size 806 --hidden_size 2543 --dropout 0.29149170213716435462 --num_dense_layers 1 --filter 29 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c114,1139477,91_0,COMPLETED,BOTORCH_MODULAR,50.5,3.588000000000000078159700933611,22,0.001000000000000000020816681712,806,2543,0.291491702137164354624587758735,1,29,6,0,leaky_relu,normal
92,1761221518,59,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221577,1761221852,275,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00100000000000000002 --batch_size 407 --hidden_size 2475 --dropout 0.26649941955026029694 --num_dense_layers 1 --filter 31 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c111,1139480,92_0,COMPLETED,BOTORCH_MODULAR,52.509999999999998010480339871719,3.665000000000000035527136788005,22,0.001000000000000000020816681712,407,2475,0.266499419550260296940535909016,1,31,6,0,leaky_relu,normal
93,1761221518,27,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221545,1761221820,275,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.000957250105185999 --batch_size 320 --hidden_size 2594 --dropout 0.29142088262086057737 --num_dense_layers 1 --filter 41 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c141,1139467,93_0,COMPLETED,BOTORCH_MODULAR,55.119999999999997442046151263639,3.735999999999999765520897199167,22,0.000957250105185999001361496497,320,2594,0.291420882620860577372212674163,1,41,6,0,leaky_relu,normal
94,1761221518,63,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221581,1761221843,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00100000000000000002 --batch_size 748 --hidden_size 2518 --dropout 0.27918363444406640861 --num_dense_layers 1 --filter 19 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c111,1139483,94_0,COMPLETED,BOTORCH_MODULAR,47.85999999999999943156581139192,3.506000000000000227373675443232,22,0.001000000000000000020816681712,748,2518,0.279183634444066408608620122322,1,19,6,0,leaky_relu,normal
95,1761221518,62,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221580,1761221849,269,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00099482065475625854 --batch_size 510 --hidden_size 2481 --dropout 0.2683264113540079765 --num_dense_layers 1 --filter 32 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c109,1139486,95_0,COMPLETED,BOTORCH_MODULAR,51.6499999999999985789145284798,3.571000000000000174082970261225,22,0.00099482065475625853535890375,510,2481,0.268326411354007976495239518044,1,32,6,0,leaky_relu,normal
96,1761221519,58,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221577,1761221858,281,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00068698798344494062 --batch_size 282 --hidden_size 570 --dropout 0.42875132327767717655 --num_dense_layers 1 --filter 56 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c110,1139485,96_0,COMPLETED,BOTORCH_MODULAR,56.8999999999999985789145284798,3.786999999999999921840299066389,22,0.000686987983444940623380114975,282,570,0.428751323277677176548650095356,1,56,5,0,leaky_relu,normal
97,1761221519,64,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221583,1761221857,274,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00093077561131531586 --batch_size 364 --hidden_size 2578 --dropout 0.24867181381252423389 --num_dense_layers 1 --filter 28 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c109,1139487,97_0,COMPLETED,BOTORCH_MODULAR,51.880000000000002557953848736361,3.661000000000000031974423109205,22,0.000930775611315315864677244484,364,2578,0.248671813812524233888723301789,1,28,6,0,leaky_relu,normal
98,1761221519,57,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221576,1761221845,269,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00099997298857557298 --batch_size 510 --hidden_size 2538 --dropout 0.28894844433002858652 --num_dense_layers 1 --filter 29 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c103,1139488,98_0,COMPLETED,BOTORCH_MODULAR,50.880000000000002557953848736361,3.617999999999999882760448599583,22,0.000999972988575572978298122706,510,2538,0.288948444330028586524150568948,1,29,6,0,leaky_relu,normal
99,1761221519,58,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761221577,1761221846,269,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.0001 --batch_size 615 --hidden_size 2259 --dropout 0.35362872242130610756 --num_dense_layers 2 --filter 80 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c110,1139484,99_0,COMPLETED,BOTORCH_MODULAR,52.479999999999996873611962655559,3.626999999999999779731751914369,21,0.000100000000000000004792173602,615,2259,0.353628722421306107559502152071,2,80,5,0,leaky_relu,normal
100,1761222185,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222214,1761222451,237,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00065716043378209439 --batch_size 758 --hidden_size 3464 --dropout 0.37909779068980908878 --num_dense_layers 1 --filter 4 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c116,1139759,100_0,COMPLETED,BOTORCH_MODULAR,31.25,3.164000000000000145661260830821,20,0.000657160433782094394877804078,758,3464,0.379097790689809088782169510523,1,4,4,0,leaky_relu,normal
101,1761222185,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222214,1761222483,269,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067612396642606964 --batch_size 257 --hidden_size 2469 --dropout 0.5 --num_dense_layers 1 --filter 77 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c111,1139764,101_0,COMPLETED,BOTORCH_MODULAR,57.78999999999999914734871708788,3.609999999999999875655021241982,20,0.000676123966426069641227902807,257,2469,0.5,1,77,6,0,leaky_relu,normal
102,1761222185,28,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222213,1761222482,269,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067937495965369023 --batch_size 369 --hidden_size 2471 --dropout 0.5 --num_dense_layers 1 --filter 77 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c122,1139757,102_0,COMPLETED,BOTORCH_MODULAR,57.229999999999996873611962655559,3.560000000000000053290705182008,20,0.000679374959653690230904077296,369,2471,0.5,1,77,6,0,leaky_relu,normal
103,1761222185,24,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222209,1761222446,237,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00062963058844251363 --batch_size 873 --hidden_size 3463 --dropout 0.44172512271460190325 --num_dense_layers 1 --filter 4 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c116,1139758,103_0,COMPLETED,BOTORCH_MODULAR,29.3500000000000014210854715202,3.152000000000000135003119794419,20,0.000629630588442513629623964455,873,3463,0.441725122714601903251008252482,1,4,4,0,leaky_relu,normal
104,1761222185,60,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222245,1761222482,237,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00045624006631365618 --batch_size 852 --hidden_size 3148 --dropout 0.30492887153502118425 --num_dense_layers 2 --filter 4 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c110,1139771,104_0,COMPLETED,BOTORCH_MODULAR,30.44000000000000127897692436818,3.178999999999999825917029738775,20,0.00045624006631365618142509577,852,3148,0.30492887153502118424697187038,2,4,5,0,leaky_relu,normal
105,1761222185,27,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222212,1761222493,281,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067185009867970068 --batch_size 133 --hidden_size 2474 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c114,1139761,105_0,COMPLETED,BOTORCH_MODULAR,60.409999999999996589394868351519,3.829000000000000181188397618826,20,0.000671850098679700681765514236,133,2474,0.5,1,80,6,0,leaky_relu,normal
106,1761222185,31,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222216,1761223008,792,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00075643740167143775 --batch_size 8 --hidden_size 661 --dropout 0.17520105843163788495 --num_dense_layers 1 --filter 80 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c149,1139756,106_0,COMPLETED,BOTORCH_MODULAR,55.32000000000000028421709430404,10.899000000000000909494701772928,20,0.000756437401671437750598492311,8,661,0.175201058431637884948983696631,1,80,4,0,leaky_relu,normal
107,1761222185,25,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222210,1761222466,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00071794821432178476 --batch_size 856 --hidden_size 2531 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c111,1139769,107_0,COMPLETED,BOTORCH_MODULAR,53.21999999999999886313162278384,3.41000000000000014210854715202,20,0.000717948214321784757181721393,856,2531,0.5,1,80,4,0,leaky_relu,normal
108,1761222185,28,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222213,1761222546,333,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00068577377646218164 --batch_size 352 --hidden_size 2502 --dropout 0.5 --num_dense_layers 1 --filter 76 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c113,1139763,108_0,COMPLETED,BOTORCH_MODULAR,57.46999999999999886313162278384,3.467000000000000081712414612412,20,0.000685773776462181641755400108,352,2502,0.5,1,76,6,0,leaky_relu,normal
109,1761222185,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222214,1761222476,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0006811843801911438 --batch_size 640 --hidden_size 2483 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c114,1139762,109_0,COMPLETED,BOTORCH_MODULAR,58.259999999999998010480339871719,3.471999999999999975131004248396,20,0.000681184380191143801219766374,640,2483,0.5,1,80,6,0,leaky_relu,normal
110,1761222185,54,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222239,1761222490,251,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00069687293358374088 --batch_size 982 --hidden_size 2473 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c111,1139770,110_0,COMPLETED,BOTORCH_MODULAR,56.96999999999999886313162278384,3.357000000000000206057393370429,20,0.000696872933583740877643009082,982,2473,0.5,1,80,5,0,leaky_relu,normal
111,1761222185,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222214,1761222476,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00064369347998103558 --batch_size 297 --hidden_size 2463 --dropout 0.5 --num_dense_layers 1 --filter 76 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c114,1139760,111_0,COMPLETED,BOTORCH_MODULAR,58.340000000000003410605131648481,3.541999999999999815258888702374,20,0.000643693479981035580721193678,297,2463,0.5,1,76,6,0,leaky_relu,normal
112,1761222185,56,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222241,1761222498,257,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067208562335447654 --batch_size 659 --hidden_size 2449 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c106,1139773,112_0,COMPLETED,BOTORCH_MODULAR,57.630000000000002557953848736361,3.427999999999999936051153781591,20,0.000672085623354476543664381971,659,2449,0.5,1,80,5,0,leaky_relu,normal
113,1761222185,59,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222244,1761222500,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00066750747079626625 --batch_size 659 --hidden_size 2379 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c95,1139776,113_0,COMPLETED,BOTORCH_MODULAR,56.57999999999999829469743417576,3.414000000000000145661260830821,20,0.000667507470796266247706207686,659,2379,0.5,1,80,5,0,leaky_relu,normal
114,1761222185,59,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222244,1761222519,275,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00066124653387927845 --batch_size 572 --hidden_size 2462 --dropout 0.5 --num_dense_layers 1 --filter 73 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c95,1139777,114_0,COMPLETED,BOTORCH_MODULAR,57.009999999999998010480339871719,3.67399999999999993249844010279,20,0.000661246533879278450447636306,572,2462,0.5,1,73,5,0,leaky_relu,normal
115,1761222185,73,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222258,1761222539,281,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067021303405714687 --batch_size 197 --hidden_size 2474 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c77,1139778,115_0,COMPLETED,BOTORCH_MODULAR,60.1499999999999985789145284798,3.698999999999999843680598132778,20,0.000670213034057146874941657266,197,2474,0.5,1,80,6,0,leaky_relu,normal
116,1761222185,76,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222261,1761222529,268,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00068720906410665048 --batch_size 918 --hidden_size 2531 --dropout 0.5 --num_dense_layers 1 --filter 76 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c77,1139779,116_0,COMPLETED,BOTORCH_MODULAR,52.71999999999999886313162278384,3.455999999999999960920149533194,20,0.00068720906410665047545777151,918,2531,0.5,1,76,4,0,leaky_relu,normal
117,1761222186,57,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222243,1761222500,257,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0006878549406106638 --batch_size 804 --hidden_size 2473 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c68,1139780,117_0,COMPLETED,BOTORCH_MODULAR,56.799999999999997157829056959599,3.427000000000000046185277824407,20,0.000687854940610663797943835629,804,2473,0.5,1,80,5,0,leaky_relu,normal
118,1761222186,54,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222240,1761222502,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00067295371380917421 --batch_size 475 --hidden_size 2462 --dropout 0.5 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c110,1139772,118_0,COMPLETED,BOTORCH_MODULAR,58.490000000000001989519660128281,3.495999999999999996447286321199,20,0.000672953713809174209649344167,475,2462,0.5,1,80,6,0,leaky_relu,normal
119,1761222186,61,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761222247,1761222508,261,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00068763319644558863 --batch_size 702 --hidden_size 2525 --dropout 0.5 --num_dense_layers 1 --filter 69 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c95,1139774,119_0,COMPLETED,BOTORCH_MODULAR,51.85999999999999943156581139192,3.460999999999999854338739169179,20,0.000687633196445588631452727757,702,2525,0.5,1,69,4,0,leaky_relu,normal
120,1761223204,36,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223240,1761223502,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00041703757943626729 --batch_size 934 --hidden_size 4019 --dropout 0.32915329235075990733 --num_dense_layers 1 --filter 75 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c147,1140205,120_0,COMPLETED,BOTORCH_MODULAR,56.57999999999999829469743417576,3.455999999999999960920149533194,20,0.000417037579436267289920148293,934,4019,0.329153292350759907325397080058,1,75,6,0,leaky_relu,normal
121,1761223204,27,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223231,1761223536,305,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00074202650487420886 --batch_size 1024 --hidden_size 3815 --dropout 0.34243440653925055761 --num_dense_layers 1 --filter 4 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c104,1140209,121_0,COMPLETED,BOTORCH_MODULAR,24.94000000000000127897692436818,4.094000000000000305533376376843,27,0.000742026504874208859760531531,1024,3815,0.342434406539250557610642999862,1,4,7,0,leaky_relu,normal
122,1761223204,59,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223263,1761223518,255,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00043180750165713552 --batch_size 764 --hidden_size 3755 --dropout 0.30971693411719275479 --num_dense_layers 1 --filter 71 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c110,1140224,122_0,COMPLETED,BOTORCH_MODULAR,56.259999999999998010480339871719,3.448999999999999843680598132778,20,0.000431807501657135517705854433,764,3755,0.309716934117192754793990161488,1,71,6,0,leaky_relu,normal
123,1761223204,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223233,1761223496,263,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00045273521505141164 --batch_size 393 --hidden_size 3808 --dropout 0.32144175503310712383 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c103,1140213,123_0,COMPLETED,BOTORCH_MODULAR,59.89000000000000056843418860808,3.511000000000000120792265079217,20,0.000452735215051411636535266814,393,3808,0.321441755033107123828983731073,1,80,6,0,leaky_relu,normal
124,1761223204,27,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223231,1761223536,305,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00073909317310108514 --batch_size 1024 --hidden_size 3974 --dropout 0.33342311717734157694 --num_dense_layers 1 --filter 4 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c103,1140212,124_0,COMPLETED,BOTORCH_MODULAR,24.62999999999999900524016993586,4.13499999999999978683717927197,27,0.000739093173101085135039134411,1024,3974,0.333423117177341576944371581703,1,4,7,0,leaky_relu,normal
125,1761223204,60,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223264,1761223512,248,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00046881637323378821 --batch_size 518 --hidden_size 4015 --dropout 0.23226820508780030017 --num_dense_layers 1 --filter 26 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c138,1140215,125_0,COMPLETED,BOTORCH_MODULAR,51.009999999999998010480339871719,3.311999999999999833022457096376,20,0.000468816373233788214261452687,518,4015,0.232268205087800300168154876701,1,26,6,0,leaky_relu,normal
126,1761223204,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223233,1761223489,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00042586140221255073 --batch_size 768 --hidden_size 3813 --dropout 0.32628696547949936901 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c143,1140206,126_0,COMPLETED,BOTORCH_MODULAR,56.479999999999996873611962655559,3.407000000000000028421709430404,20,0.000425861402212550734826257415,768,3813,0.326286965479499369013893783631,1,80,6,0,leaky_relu,normal
127,1761223204,34,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223238,1761223575,337,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00071651128975242862 --batch_size 1017 --hidden_size 2082 --dropout 0.35059298785055703629 --num_dense_layers 1 --filter 4 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c100,1140214,127_0,COMPLETED,BOTORCH_MODULAR,23.17999999999999971578290569596,4.586000000000000298427949019242,30,0.000716511289752428618543556027,1017,2082,0.350592987850557036288989820605,1,4,7,0,leaky_relu,normal
128,1761223204,61,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223265,1761223520,255,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00042930393317966822 --batch_size 723 --hidden_size 3811 --dropout 0.31853181533984720186 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c114,1140219,128_0,COMPLETED,BOTORCH_MODULAR,57.8999999999999985789145284798,3.42399999999999993249844010279,20,0.000429303933179668215612545534,723,3811,0.318531815339847201862255587912,1,80,6,0,leaky_relu,normal
129,1761223204,27,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223231,1761223487,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00041985833233647811 --batch_size 868 --hidden_size 3991 --dropout 0.33958507498864171081 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c103,1140211,129_0,COMPLETED,BOTORCH_MODULAR,57.130000000000002557953848736361,3.391000000000000014210854715202,20,0.000419858332336478111326133478,868,3991,0.339585074988641710813652707657,1,80,6,0,leaky_relu,normal
130,1761223204,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223233,1761223538,305,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00074173813697933763 --batch_size 990 --hidden_size 3816 --dropout 0.34712103174331915278 --num_dense_layers 1 --filter 4 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c106,1140208,130_0,COMPLETED,BOTORCH_MODULAR,24.26000000000000156319401867222,4.120000000000000106581410364015,27,0.000741738136979337627646691189,990,3816,0.347121031743319152784721381977,1,4,7,0,leaky_relu,normal
131,1761223204,29,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223233,1761223489,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00044344331027487 --batch_size 485 --hidden_size 3981 --dropout 0.32817481786625268825 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c131,1140207,131_0,COMPLETED,BOTORCH_MODULAR,58.009999999999998010480339871719,3.454000000000000181188397618826,20,0.000443443310274869995080138096,485,3981,0.328174817866252688247641344788,1,80,6,0,leaky_relu,normal
132,1761223204,27,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223231,1761223487,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00042038172950185031 --batch_size 538 --hidden_size 3921 --dropout 0.31255487030110895574 --num_dense_layers 1 --filter 62 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c104,1140210,132_0,COMPLETED,BOTORCH_MODULAR,56.130000000000002557953848736361,3.484999999999999875655021241982,20,0.000420381729501850310865701532,538,3921,0.312554870301108955743529804749,1,62,7,0,leaky_relu,normal
133,1761223204,60,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223264,1761223513,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00042775225524663079 --batch_size 722 --hidden_size 3989 --dropout 0.32112631599472774013 --num_dense_layers 1 --filter 80 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c126,1140216,133_0,COMPLETED,BOTORCH_MODULAR,59.189999999999997726263245567679,3.368999999999999772626324556768,20,0.000427752255246630790942730105,722,3989,0.321126315994727740132930193795,1,80,6,0,leaky_relu,normal
134,1761223204,65,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223269,1761223505,236,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00058715191583463952 --batch_size 874 --hidden_size 2797 --dropout 0.10982950534365036599 --num_dense_layers 1 --filter 4 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c109,1140225,134_0,COMPLETED,BOTORCH_MODULAR,22.3000000000000007105427357601,3.186999999999999833022457096376,20,0.000587151915834639519763127335,874,2797,0.109829505343650365989383033138,1,4,7,0,leaky_relu,normal
135,1761223204,59,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223263,1761223525,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.00051201913192056362 --batch_size 665 --hidden_size 2882 --dropout 0.22288826009760859259 --num_dense_layers 1 --filter 47 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c110,1140223,135_0,COMPLETED,BOTORCH_MODULAR,56.21000000000000085265128291212,3.520000000000000017763568394003,21,0.000512019131920563616393315964,665,2882,0.222888260097608592591456044829,1,47,6,0,leaky_relu,normal
136,1761223204,60,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223264,1761223513,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.00057595486615578386 --batch_size 1015 --hidden_size 4050 --dropout 0.14822552918949935541 --num_dense_layers 1 --filter 13 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c111,1140222,136_0,COMPLETED,BOTORCH_MODULAR,40.479999999999996873611962655559,3.354999999999999982236431605997,21,0.000575954866155783864328787658,1015,4050,0.148225529189499355409154190966,1,13,6,0,leaky_relu,normal
137,1761223205,60,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223265,1761223589,324,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 29 --learning_rate 0.00075654506354635065 --batch_size 739 --hidden_size 3994 --dropout 0.39681884163604785876 --num_dense_layers 1 --filter 4 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c97,1140227,137_0,COMPLETED,BOTORCH_MODULAR,25.6499999999999985789145284798,4.349000000000000198951966012828,29,0.000756545063546350650754424016,739,3994,0.396818841636047858756342066044,1,4,7,0,leaky_relu,normal
138,1761223205,59,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223264,1761223507,243,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00032476748038649041 --batch_size 732 --hidden_size 1914 --dropout 0 --num_dense_layers 2 --filter 20 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c113,1140221,138_0,COMPLETED,BOTORCH_MODULAR,42.82000000000000028421709430404,3.233999999999999985789145284798,20,0.00032476748038649040943234847,732,1914,0,2,20,7,0,leaky_relu,normal
139,1761223205,60,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223265,1761223533,268,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 22 --learning_rate 0.00043938171865887744 --batch_size 704 --hidden_size 3979 --dropout 0.25124997279100641512 --num_dense_layers 1 --filter 29 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c109,1140226,139_0,COMPLETED,BOTORCH_MODULAR,50.10999999999999943156581139192,3.604999999999999982236431605997,22,0.000439381718658877443595828227,704,3979,0.251249972791006415118175709722,1,29,6,0,leaky_relu,normal
140,1761223946,39,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223985,1761224241,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 364 --hidden_size 401 --dropout 0.22275533656661308801 --num_dense_layers 1 --filter 64 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c128,1140521,140_0,COMPLETED,BOTORCH_MODULAR,49.130000000000002557953848736361,3.41000000000000014210854715202,20,0.000100000000000000004792173602,364,401,0.22275533656661308801183452033,1,64,4,0,leaky_relu,normal
141,1761223946,13,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223959,1761224221,262,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 250 --hidden_size 2834 --dropout 0.30669568669575730802 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c137,1140516,141_0,COMPLETED,BOTORCH_MODULAR,54.340000000000003410605131648481,3.525999999999999801048033987172,20,0.000100000000000000004792173602,250,2834,0.306695686695757308015686248837,1,65,4,0,leaky_relu,normal
142,1761223946,13,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223959,1761224268,309,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 84 --hidden_size 2120 --dropout 0.12923552704011032066 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c141,1140512,142_0,COMPLETED,BOTORCH_MODULAR,57.939999999999997726263245567679,4.203000000000000291322521661641,20,0.000100000000000000004792173602,84,2120,0.129235527040110320662336107489,1,65,4,0,leaky_relu,normal
143,1761223946,39,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223985,1761224440,455,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 22 --hidden_size 2827 --dropout 0.34958178240662984848 --num_dense_layers 1 --filter 64 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c125,1140524,143_0,COMPLETED,BOTORCH_MODULAR,59.53999999999999914734871708788,6.179000000000000270006239588838,20,0.000100000000000000004792173602,22,2827,0.349581782406629848480861255666,1,64,4,0,leaky_relu,normal
144,1761223946,42,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223988,1761224418,430,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.0001 --batch_size 30 --hidden_size 2435 --dropout 0.20292927688422815469 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c128,1140522,144_0,COMPLETED,BOTORCH_MODULAR,59.39000000000000056843418860808,5.826999999999999957367435854394,21,0.000100000000000000004792173602,30,2435,0.202929276884228154687050960092,1,65,4,0,leaky_relu,normal
145,1761223946,11,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223957,1761224803,846,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00010790325296854386 --batch_size 8 --hidden_size 3983 --dropout 0.03479082150623764857 --num_dense_layers 1 --filter 64 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c138,1140514,145_0,COMPLETED,BOTORCH_MODULAR,59.939999999999997726263245567679,11.58500000000000085265128291212,20,0.000107903252968543858242994604,8,3983,0.034790821506237648574888510211,1,64,4,0,leaky_relu,normal
146,1761223946,16,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223962,1761224263,301,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 80 --hidden_size 372 --dropout 0.2999996820240371509 --num_dense_layers 1 --filter 64 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c133,1140518,146_0,COMPLETED,BOTORCH_MODULAR,53.78000000000000113686837721616,3.999000000000000110134124042816,20,0.000100000000000000004792173602,80,372,0.299999682024037150895878767187,1,64,4,0,leaky_relu,normal
147,1761223946,9,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223955,1761224211,256,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00020444665477579088 --batch_size 393 --hidden_size 809 --dropout 0.25875652098249357635 --num_dense_layers 1 --filter 64 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c154,1140510,147_0,COMPLETED,BOTORCH_MODULAR,53.990000000000001989519660128281,3.460999999999999854338739169179,20,0.000204446654775790879251390342,393,809,0.25875652098249357635495471186,1,64,4,0,leaky_relu,normal
148,1761223946,37,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223983,1761224323,340,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 48 --hidden_size 2117 --dropout 0.14551235164122844346 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c131,1140520,148_0,COMPLETED,BOTORCH_MODULAR,58.57000000000000028421709430404,4.631000000000000227373675443232,20,0.000100000000000000004792173602,48,2117,0.145512351641228443455133856332,1,65,4,0,leaky_relu,normal
149,1761223946,9,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223955,1761224789,834,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 8 --hidden_size 3987 --dropout 0.05399372637026563643 --num_dense_layers 1 --filter 64 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c131,1140519,149_0,COMPLETED,BOTORCH_MODULAR,60.3500000000000014210854715202,11.487000000000000099475983006414,20,0.000100000000000000004792173602,8,3987,0.053993726370265636427259181573,1,64,4,0,leaky_relu,normal
150,1761223946,6,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223952,1761224228,276,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00014657038578148678 --batch_size 228 --hidden_size 3993 --dropout 0.05497187449646100121 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c140,1140513,150_0,COMPLETED,BOTORCH_MODULAR,56.42999999999999971578290569596,3.681000000000000049737991503207,20,0.000146570385781486780749083287,228,3993,0.054971874496461001213809538513,1,65,4,0,leaky_relu,normal
151,1761223946,14,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223960,1761224403,443,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 38 --learning_rate 0.00019257812795537267 --batch_size 809 --hidden_size 2456 --dropout 0.45503047310214755905 --num_dense_layers 1 --filter 80 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c133,1140517,151_0,COMPLETED,BOTORCH_MODULAR,59.259999999999998010480339871719,6.014000000000000234479102800833,38,0.000192578127955372668334357855,809,2456,0.455030473102147559050223435406,1,80,4,0,leaky_relu,normal
152,1761223946,8,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223954,1761224217,263,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 250 --hidden_size 1057 --dropout 0.31374539399431561337 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c138,1140515,152_0,COMPLETED,BOTORCH_MODULAR,52.450000000000002842170943040401,3.538000000000000255795384873636,20,0.000100000000000000004792173602,250,1057,0.313745393994315613372947382231,1,65,4,0,leaky_relu,normal
153,1761223946,6,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223952,1761224227,275,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 21 --learning_rate 0.0001 --batch_size 294 --hidden_size 2847 --dropout 0.30753841745273119423 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c141,1140511,153_0,COMPLETED,BOTORCH_MODULAR,53.990000000000001989519660128281,3.669000000000000039079850466806,21,0.000100000000000000004792173602,294,2847,0.307538417452731194234871736626,1,65,4,0,leaky_relu,normal
154,1761223946,38,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223984,1761224822,838,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 8 --hidden_size 3986 --dropout 0.03815841627805163783 --num_dense_layers 1 --filter 64 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c126,1140523,154_0,COMPLETED,BOTORCH_MODULAR,60.159999999999996589394868351519,11.487999999999999545252649113536,20,0.000100000000000000004792173602,8,3986,0.03815841627805163782660713423,1,64,4,0,leaky_relu,normal
155,1761223946,43,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223989,1761224346,357,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 44 --hidden_size 2430 --dropout 0.20483024600905325174 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c106,1140525,155_0,COMPLETED,BOTORCH_MODULAR,59.060000000000002273736754432321,4.807999999999999829469743417576,20,0.000100000000000000004792173602,44,2430,0.204830246009053251743381451888,1,65,4,0,leaky_relu,normal
156,1761223948,35,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223983,1761224824,841,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 8 --hidden_size 3986 --dropout 0.04254172971689607063 --num_dense_layers 1 --filter 64 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c106,1140526,156_0,COMPLETED,BOTORCH_MODULAR,60.07999999999999829469743417576,11.53999999999999914734871708788,20,0.000100000000000000004792173602,8,3986,0.042541729716896070634390980558,1,64,4,0,leaky_relu,normal
157,1761223947,35,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223982,1761224271,289,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 102 --hidden_size 2817 --dropout 0.34752639590039957618 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c103,1140530,157_0,COMPLETED,BOTORCH_MODULAR,56.85999999999999943156581139192,3.935000000000000053290705182008,20,0.000100000000000000004792173602,102,2817,0.347526395900399576177619564987,1,65,4,0,leaky_relu,normal
158,1761223947,35,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223982,1761224282,300,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 24 --learning_rate 0.0001 --batch_size 509 --hidden_size 2754 --dropout 0.19682283347706219789 --num_dense_layers 1 --filter 68 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c103,1140528,158_0,COMPLETED,BOTORCH_MODULAR,53.92999999999999971578290569596,4.017999999999999793942606629571,24,0.000100000000000000004792173602,509,2754,0.196822833477062197893303618912,1,68,4,0,leaky_relu,normal
159,1761223947,35,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761223982,1761224317,335,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 60 --hidden_size 2117 --dropout 0.14844412040985055512 --num_dense_layers 1 --filter 65 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c104,1140527,159_0,COMPLETED,BOTORCH_MODULAR,58.21000000000000085265128291212,4.498000000000000220268248085631,20,0.000100000000000000004792173602,60,2117,0.148444120409850555120101489592,1,65,4,0,leaky_relu,normal
160,1761225387,12,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761225399,1761225675,276,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 169 --hidden_size 114 --dropout 0.29029680573339117222 --num_dense_layers 1 --filter 71 --num_conv_layers 5 --weight_decay 0 --activation leaky_relu --init normal,0,,c154,1140824,160_0,COMPLETED,BOTORCH_MODULAR,48.759999999999998010480339871719,3.685000000000000053290705182008,20,0.000100000000000000004792173602,161,295,0.5,1,48,7,0,leaky_relu,normal
161,1761225387,13,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761225400,1761225669,269,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0001 --batch_size 160 --hidden_size 444 --dropout 0.46268947910209767826 --num_dense_layers 1 --filter 25 --num_conv_layers 6 --weight_decay 0 --activation leaky_relu --init normal,0,,c149,1140825,161_0,COMPLETED,BOTORCH_MODULAR,40.14000000000000056843418860808,3.610999999999999765520897199167,20,0.000100000000000000004792173602,160,288,0.5,1,49,7,0,leaky_relu,normal
162,,,,,,,,,,,,162_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000756592312242088571756781779,189,3803,0.5,2,71,4,0,leaky_relu,normal
163,,,,,,,,,,,,163_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000754157796975979443157567239,265,3777,0,2,74,7,0,leaky_relu,normal
164,,,,,,,,,,,,164_0,ABANDONED,BOTORCH_MODULAR,,,25,0.000610181269224739945486457593,692,675,0.493389740074068772202053878573,1,49,5,0,leaky_relu,normal
165,1761226156,12,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761226168,1761226417,249,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00063445724902872988 --batch_size 771 --hidden_size 752 --dropout 0.5 --num_dense_layers 1 --filter 55 --num_conv_layers 7 --weight_decay 0 --activation leaky_relu --init normal,0,,c143,1140903,165_0,COMPLETED,BOTORCH_MODULAR,53.340000000000003410605131648481,3.362999999999999989341858963598,20,0.000495773793489169469633770504,1024,371,0.5,1,53,4,0,leaky_relu,normal
166,,,,,,,,,,,,166_0,ABANDONED,BOTORCH_MODULAR,,,20,0.00059491697075790854129517804,1022,677,0.140797302363212251119506390751,1,57,4,0,leaky_relu,normal
167,,,,,,,,,,,,167_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000605258044073596563131034465,372,687,0,1,56,4,0,leaky_relu,normal
168,,,,,,,,,,,,168_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000767713821524246471141028625,219,3542,0,2,48,4,0,leaky_relu,normal
169,,,,,,,,,,,,169_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000609811544855084911379017321,551,690,0.5,2,56,7,0,leaky_relu,normal
170,,,,,,,,,,,,170_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000612343091467534828518937129,592,693,0.5,2,56,7,0,leaky_relu,normal
171,,,,,,,,,,,,171_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000497948996125953760073790111,1016,374,0.5,1,53,4,0,leaky_relu,normal
172,,,,,,,,,,,,172_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000607321601421078162766353792,356,690,0,1,56,4,0,leaky_relu,normal
173,,,,,,,,,,,,173_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000742260733957295559468092527,980,3838,0.5,2,74,4,0,leaky_relu,normal
174,,,,,,,,,,,,174_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000776928460759211897759812793,199,3551,0.5,2,48,4,0,leaky_relu,normal
175,1761226156,12,ae8f3e1e-eece-4ebe-be13-e47f7bce1afd,1761226168,1761226456,288,python3 /data/cat/ws/pwinkler-mnist_new/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00076256084348759543 --batch_size 186 --hidden_size 3804 --dropout 0.5 --num_dense_layers 2 --filter 71 --num_conv_layers 4 --weight_decay 0 --activation leaky_relu --init normal,0,,c143,1140902,175_0,COMPLETED,BOTORCH_MODULAR,56.659999999999996589394868351519,3.83999999999999985789145284798,25,0.000571955564468592820431824819,966,659,0.258875309672461750842842320708,1,59,4,0,leaky_relu,normal
176,,,,,,,,,,,,176_0,ABANDONED,BOTORCH_MODULAR,,,20,0.000741799153125992480513339888,541,3530,0,2,48,7,0,leaky_relu,normal
177,,,,,,,,,,,,177_0,ABANDONED,BOTORCH_MODULAR,,,20,0.00075771751893702560341076202,343,3800,0,1,71,7,0,leaky_relu,normal
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, Started OmniOpt2 run...
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #1/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #2/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #3/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #4/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #5/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #6/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #7/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #8/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #9/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #10/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #11/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #12/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #13/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #14/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #15/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #16/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #17/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #18/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #19/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, getting new HP set #20/20
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, requested 20 jobs, got 20, 0.02 s/job
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #1/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #2/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #3/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #4/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #5/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #6/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #7/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #8/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #9/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #10/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #11/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #12/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #13/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #14/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #15/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #16/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #17/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #18/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #19/20 start
2025-10-23 13:15:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, eval #20/20 start
2025-10-23 13:15:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, starting new job
2025-10-23 13:15:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 2 = ∑2/20, started new job
2025-10-23 13:15:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 3 = ∑3/20, started new job
2025-10-23 13:15:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 3 = ∑3/20, starting new job
2025-10-23 13:15:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 3 = ∑3/20, started new job
2025-10-23 13:15:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 3 = ∑3/20, starting new job
2025-10-23 13:15:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 4 = ∑4/20, started new job
2025-10-23 13:15:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 4 = ∑4/20, starting new job
2025-10-23 13:15:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 5 = ∑5/20, started new job
2025-10-23 13:15:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 6 = ∑6/20, started new job
2025-10-23 13:15:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 7 = ∑7/20, started new job
2025-10-23 13:15:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 8 = ∑8/20, started new job
2025-10-23 13:15:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 9 = ∑9/20, started new job
2025-10-23 13:15:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 10 = ∑10/20, started new job
2025-10-23 13:15:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 11 = ∑11/20, started new job
2025-10-23 13:15:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 12 = ∑12/20, started new job
2025-10-23 13:15:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 13 = ∑13/20, started new job
2025-10-23 13:15:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 14 = ∑14/20, started new job
2025-10-23 13:15:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 15 = ∑15/20, started new job
2025-10-23 13:15:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 16 = ∑16/20, started new job
2025-10-23 13:15:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 17 = ∑17/20, started new job
2025-10-23 13:15:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 18 = ∑18/20, started new job
2025-10-23 13:15:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 19 = ∑19/20, started new job
2025-10-23 13:15:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 20 = ∑20/20, started new job
2025-10-23 13:15:17 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, unknown 20 = ∑20/20, waiting for 20 jobs
2025-10-23 13:15:23 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-10-23 13:15:31 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-10-23 13:15:47 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, running 20 = ∑20/20, waiting for 20 jobs
2025-10-23 13:20:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, running 20 = ∑20/20, new result: VAL_ACC: 34.950000, NORMALIZED_RUNTIME: 4.384000
2025-10-23 13:20:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 1 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-23 13:20:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 1 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-23 13:21:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 1 done, running 19 = ∑19/20, new result: VAL_ACC: 60.280000, NORMALIZED_RUNTIME: 4.547000
2025-10-23 13:21:20 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 2 done, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-23 13:21:20 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 2 done, running 18 = ∑18/20, waiting for 18 jobs
2025-10-23 13:22:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 2 done, running 18 = ∑18/20, new result: VAL_ACC: 54.870000, NORMALIZED_RUNTIME: 6.156000
2025-10-23 13:23:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 3 done, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-23 13:23:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 3 done, running 17 = ∑17/20, waiting for 17 jobs
2025-10-23 13:24:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 3 done, running 17 = ∑17/20, new result: VAL_ACC: 62.730000, NORMALIZED_RUNTIME: 6.470000
2025-10-23 13:24:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 4 done, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-23 13:24:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 4 done, running 16 = ∑16/20, waiting for 16 jobs
2025-10-23 13:24:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 4 done, running 16 = ∑16/20, new result: VAL_ACC: 44.510000, NORMALIZED_RUNTIME: 7.075000
2025-10-23 13:24:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 5 done, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-23 13:24:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 5 done, running 15 = ∑15/20, waiting for 15 jobs
2025-10-23 13:26:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 5 done, running 15 = ∑15/20, new result: VAL_ACC: 63.230000, NORMALIZED_RUNTIME: 9.199000
2025-10-23 13:26:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 6 done, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-23 13:26:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 6 done, running 14 = ∑14/20, waiting for 14 jobs
2025-10-23 13:28:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 6 done, running 14 = ∑14/20, new result: VAL_ACC: 54.900000, NORMALIZED_RUNTIME: 10.385000
2025-10-23 13:28:23 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 7 done, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-23 13:28:23 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 7 done, running 13 = ∑13/20, waiting for 13 jobs
2025-10-23 13:29:29 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 7 done, running 13 = ∑13/20, new result: VAL_ACC: 58.730000, NORMALIZED_RUNTIME: 11.236000
2025-10-23 13:29:36 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 8 done, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-10-23 13:29:36 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 8 done, running 12 = ∑12/20, waiting for 12 jobs
2025-10-23 13:30:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 8 done, running 12 = ∑12/20, new result: VAL_ACC: 58.260000, NORMALIZED_RUNTIME: 12.086000
2025-10-23 13:31:01 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 9 done, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-10-23 13:31:01 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 9 done, running 11 = ∑11/20, waiting for 11 jobs
2025-10-23 13:31:41 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 9 done, running 11 = ∑11/20, new result: VAL_ACC: 60.010000, NORMALIZED_RUNTIME: 13.447000
2025-10-23 13:31:48 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 10 done, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-10-23 13:31:48 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 10 done, running 10 = ∑10/20, waiting for 10 jobs
2025-10-23 13:32:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 10 done, running 10 = ∑10/20, new result: VAL_ACC: 40.620000, NORMALIZED_RUNTIME: 13.336000
2025-10-23 13:32:10 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 11 done, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-10-23 13:32:10 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 11 done, running 9 = ∑9/20, waiting for 9 jobs
2025-10-23 13:32:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 11 done, running 9 = ∑9/20, new result: VAL_ACC: 34.020000, NORMALIZED_RUNTIME: 13.975000
2025-10-23 13:32:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 12 done, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-10-23 13:32:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 12 done, running 8 = ∑8/20, waiting for 8 jobs
2025-10-23 13:33:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 12 done, running 8 = ∑8/20, new result: VAL_ACC: 51.930000, NORMALIZED_RUNTIME: 14.946000
2025-10-23 13:33:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 13 done, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-23 13:33:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 13 done, running 7 = ∑7/20, waiting for 7 jobs
2025-10-23 13:33:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 13 done, running 7 = ∑7/20, new result: VAL_ACC: 58.640000, NORMALIZED_RUNTIME: 15.291000
2025-10-23 13:33:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 14 done, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-10-23 13:33:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 14 done, running 6 = ∑6/20, waiting for 6 jobs
2025-10-23 13:39:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 14 done, running 6 = ∑6/20, new result: VAL_ACC: 62.840000, NORMALIZED_RUNTIME: 19.622000
2025-10-23 13:39:29 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 15 done, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-23 13:39:29 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 15 done, running 5 = ∑5/20, waiting for 5 jobs
2025-10-23 13:39:37 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 15 done, running 5 = ∑5/20, new result: VAL_ACC: 62.080000, NORMALIZED_RUNTIME: 19.900000
2025-10-23 13:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 16 done, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-23 13:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 16 done, running 4 = ∑4/20, waiting for 4 jobs
2025-10-23 13:40:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 16 done, running 4 = ∑4/20, new result: VAL_ACC: 50.230000, NORMALIZED_RUNTIME: 20.199000
2025-10-23 13:40:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 17 done, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-23 13:40:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 17 done, running 3 = ∑3/20, waiting for 3 jobs
2025-10-23 13:41:17 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 17 done, running 3 = ∑3/20, new result: VAL_ACC: 59.750000, NORMALIZED_RUNTIME: 21.039000
2025-10-23 13:41:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 18 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-23 13:41:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 18 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-23 13:42:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 18 done, running 2 = ∑2/20, new result: VAL_ACC: 60.620000, NORMALIZED_RUNTIME: 22.172000
2025-10-23 13:42:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 19 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-23 13:42:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 19 done, running 1 = ∑1/20, waiting for 1 job
2025-10-23 13:44:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 19 done, running 1 = ∑1/20, new result: VAL_ACC: 60.420000, NORMALIZED_RUNTIME: 24.100000
2025-10-23 13:44:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, waiting for 1 job, finished 1 job
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #1/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #2/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #3/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #4/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #5/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #6/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #7/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #8/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #9/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #10/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #11/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #12/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #13/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #14/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #15/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #16/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #17/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #18/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #19/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, getting new HP set #20/20
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, requested 20 jobs, got 20, 4.21 s/job
2025-10-23 13:46:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #1/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #2/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #3/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #4/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #5/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #6/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #7/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #8/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #9/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #10/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #11/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #12/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #13/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #14/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #15/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #16/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #17/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #18/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #19/20 start
2025-10-23 13:46:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, eval #20/20 start
2025-10-23 13:46:17 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, starting new job
2025-10-23 13:46:17 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 2 = ∑2/20, started new job
2025-10-23 13:46:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 3 = ∑3/20, started new job
2025-10-23 13:46:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 2 = ∑2/20, starting new job
2025-10-23 13:46:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 3 = ∑3/20, starting new job
2025-10-23 13:46:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 2 = ∑2/20, starting new job
2025-10-23 13:46:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 4 = ∑4/20, started new job
2025-10-23 13:46:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 4 = ∑4/20, starting new job
2025-10-23 13:46:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 5 = ∑5/20, started new job
2025-10-23 13:46:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 7 = ∑7/20, started new job
2025-10-23 13:46:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 8 = ∑8/20, started new job
2025-10-23 13:46:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 9 = ∑9/20, started new job
2025-10-23 13:46:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 11 = ∑11/20, started new job
2025-10-23 13:46:20 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 12 = ∑12/20, started new job
2025-10-23 13:46:20 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 14 = ∑14/20, started new job
2025-10-23 13:46:20 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 16 = ∑16/20, started new job
2025-10-23 13:46:20 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, unknown 17 = ∑17/20, started new job
2025-10-23 13:46:21 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, pending/unknown 10/8 = ∑18/20, started new job
2025-10-23 13:46:21 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, running/pending/unknown 10/8/1 = ∑19/20, started new job
2025-10-23 13:46:22 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, running/pending/unknown 10/8/2 = ∑20/20, started new job
2025-10-23 13:46:23 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, running/pending/unknown 10/8/2 = ∑20/20, waiting for 20 jobs
2025-10-23 13:46:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-10-23 13:47:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-23 13:50:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, running 20 = ∑20/20, new result: VAL_ACC: 24.840000, NORMALIZED_RUNTIME: 3.411000
2025-10-23 13:50:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 20 done, running 20 = ∑20/20, new result: VAL_ACC: 50.680000, NORMALIZED_RUNTIME: 3.458000
2025-10-23 13:50:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 22 done, running 18 = ∑18/20, waiting for 20 jobs, finished 2 jobs
2025-10-23 13:50:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 22 done, running 18 = ∑18/20, waiting for 18 jobs
2025-10-23 13:51:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 22 done, running 18 = ∑18/20, new result: VAL_ACC: 26.620000, NORMALIZED_RUNTIME: 3.430000
2025-10-23 13:51:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 22 done, running 18 = ∑18/20, new result: VAL_ACC: 25.640000, NORMALIZED_RUNTIME: 3.419000
2025-10-23 13:51:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 22 done, running 18 = ∑18/20, new result: VAL_ACC: 54.530000, NORMALIZED_RUNTIME: 3.389000
2025-10-23 13:51:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 22 done, running 18 = ∑18/20, new result: VAL_ACC: 25.550000, NORMALIZED_RUNTIME: 3.464000
2025-10-23 13:51:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 22 done, running 18 = ∑18/20, new result: VAL_ACC: 56.040000, NORMALIZED_RUNTIME: 3.593000
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, waiting for 18 jobs, finished 5 jobs
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, waiting for 13 jobs
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 21.360000, NORMALIZED_RUNTIME: 3.404000
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 48.660000, NORMALIZED_RUNTIME: 3.431000
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 24.830000, NORMALIZED_RUNTIME: 3.497000
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 25.950000, NORMALIZED_RUNTIME: 3.393000
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 51.130000, NORMALIZED_RUNTIME: 3.497000
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 24.380000, NORMALIZED_RUNTIME: 3.506000
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 42.780000, NORMALIZED_RUNTIME: 3.518000
2025-10-23 13:51:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 24.080000, NORMALIZED_RUNTIME: 3.453000
2025-10-23 13:51:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 26.810000, NORMALIZED_RUNTIME: 3.489000
2025-10-23 13:51:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 27 done, running 13 = ∑13/20, new result: VAL_ACC: 25.880000, NORMALIZED_RUNTIME: 3.471000
2025-10-23 13:52:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 37 done, running 3 = ∑3/20, waiting for 13 jobs, finished 10 jobs
2025-10-23 13:52:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 37 done, running 3 = ∑3/20, waiting for 3 jobs
2025-10-23 13:52:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 37 done, running 3 = ∑3/20, new result: VAL_ACC: 25.220000, NORMALIZED_RUNTIME: 3.582000
2025-10-23 13:52:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 37 done, running 3 = ∑3/20, new result: VAL_ACC: 24.710000, NORMALIZED_RUNTIME: 3.443000
2025-10-23 13:52:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 37 done, running 3 = ∑3/20, new result: VAL_ACC: 25.930000, NORMALIZED_RUNTIME: 3.512000
2025-10-23 13:52:28 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, waiting for 3 jobs, finished 3 jobs
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #1/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #2/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #3/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #4/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #5/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #6/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #7/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #8/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #9/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #10/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #11/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #12/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #13/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #14/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #15/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #16/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #17/20
2025-10-23 13:53:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #18/20
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #19/20
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, getting new HP set #20/20
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, requested 20 jobs, got 20, 4.27 s/job
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #1/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #2/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #3/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #4/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #5/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #6/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #7/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #8/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #9/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #10/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #11/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #12/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #13/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #14/20 start
2025-10-23 13:53:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #15/20 start
2025-10-23 13:53:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #16/20 start
2025-10-23 13:53:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #17/20 start
2025-10-23 13:53:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #18/20 start
2025-10-23 13:53:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #19/20 start
2025-10-23 13:53:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, eval #20/20 start
2025-10-23 13:53:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, starting new job
2025-10-23 13:53:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 1 = ∑1/20, started new job
2025-10-23 13:53:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 1 = ∑1/20, starting new job
2025-10-23 13:53:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 2 = ∑2/20, started new job
2025-10-23 13:53:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 2 = ∑2/20, starting new job
2025-10-23 13:53:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 3 = ∑3/20, started new job
2025-10-23 13:53:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 3 = ∑3/20, starting new job
2025-10-23 13:53:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 4 = ∑4/20, started new job
2025-10-23 13:53:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 6 = ∑6/20, started new job
2025-10-23 13:53:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 6 = ∑6/20, starting new job
2025-10-23 13:53:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 7 = ∑7/20, started new job
2025-10-23 13:53:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 8 = ∑8/20, started new job
2025-10-23 13:53:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 10 = ∑10/20, started new job
2025-10-23 13:53:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 11 = ∑11/20, started new job
2025-10-23 13:53:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 12 = ∑12/20, started new job
2025-10-23 13:53:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, unknown 13 = ∑13/20, started new job
2025-10-23 13:53:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, pending/unknown 13/2 = ∑15/20, started new job
2025-10-23 13:53:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, pending/unknown 13/3 = ∑16/20, started new job
2025-10-23 13:53:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, pending/unknown 13/4 = ∑17/20, started new job
2025-10-23 13:53:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, pending/unknown 13/5 = ∑18/20, started new job
2025-10-23 13:53:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, pending/unknown 13/7 = ∑20/20, started new job
2025-10-23 13:54:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, pending/unknown 13/7 = ∑20/20, waiting for 20 jobs
2025-10-23 13:54:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, pending 20 = ∑20/20, waiting for 20 jobs
2025-10-23 13:54:30 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-10-23 13:55:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-23 13:58:23 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 40 done, running 20 = ∑20/20, new result: VAL_ACC: 25.970000, NORMALIZED_RUNTIME: 3.188000
2025-10-23 13:58:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 41 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-23 13:58:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 41 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-23 13:58:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 41 done, running 19 = ∑19/20, new result: VAL_ACC: 47.900000, NORMALIZED_RUNTIME: 3.383000
2025-10-23 13:58:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 41 done, running 19 = ∑19/20, new result: VAL_ACC: 45.670000, NORMALIZED_RUNTIME: 3.297000
2025-10-23 13:58:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 41 done, running 19 = ∑19/20, new result: VAL_ACC: 22.910000, NORMALIZED_RUNTIME: 3.179000
2025-10-23 13:58:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 41 done, running 19 = ∑19/20, new result: VAL_ACC: 24.260000, NORMALIZED_RUNTIME: 3.220000
2025-10-23 13:58:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 41 done, running 19 = ∑19/20, new result: VAL_ACC: 48.520000, NORMALIZED_RUNTIME: 3.325000
2025-10-23 13:59:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, waiting for 19 jobs, finished 5 jobs
2025-10-23 13:59:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, waiting for 14 jobs
2025-10-23 13:59:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, new result: VAL_ACC: 45.290000, NORMALIZED_RUNTIME: 3.265000
2025-10-23 13:59:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, new result: VAL_ACC: 57.070000, NORMALIZED_RUNTIME: 3.451000
2025-10-23 13:59:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, new result: VAL_ACC: 55.630000, NORMALIZED_RUNTIME: 3.377000
2025-10-23 13:59:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, new result: VAL_ACC: 48.470000, NORMALIZED_RUNTIME: 3.363000
2025-10-23 13:59:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, new result: VAL_ACC: 56.170000, NORMALIZED_RUNTIME: 3.378000
2025-10-23 13:59:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, new result: VAL_ACC: 50.360000, NORMALIZED_RUNTIME: 3.422000
2025-10-23 13:59:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, new result: VAL_ACC: 53.840000, NORMALIZED_RUNTIME: 3.367000
2025-10-23 13:59:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 46 done, running 14 = ∑14/20, new result: VAL_ACC: 45.700000, NORMALIZED_RUNTIME: 3.275000
2025-10-23 13:59:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 54 done, running 6 = ∑6/20, waiting for 14 jobs, finished 8 jobs
2025-10-23 13:59:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 54 done, running 6 = ∑6/20, waiting for 6 jobs
2025-10-23 13:59:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 54 done, running 6 = ∑6/20, new result: VAL_ACC: 55.480000, NORMALIZED_RUNTIME: 3.399000
2025-10-23 13:59:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 54 done, running 6 = ∑6/20, new result: VAL_ACC: 52.750000, NORMALIZED_RUNTIME: 3.317000
2025-10-23 13:59:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 54 done, running 6 = ∑6/20, new result: VAL_ACC: 49.550000, NORMALIZED_RUNTIME: 3.420000
2025-10-23 13:59:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 54 done, running 6 = ∑6/20, new result: VAL_ACC: 55.650000, NORMALIZED_RUNTIME: 3.427000
2025-10-23 13:59:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 54 done, running 6 = ∑6/20, new result: VAL_ACC: 48.370000, NORMALIZED_RUNTIME: 3.355000
2025-10-23 13:59:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 54 done, running 6 = ∑6/20, new result: VAL_ACC: 43.730000, NORMALIZED_RUNTIME: 3.359000
2025-10-23 14:00:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, waiting for 6 jobs, finished 6 jobs
2025-10-23 14:02:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #1/20
2025-10-23 14:02:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #2/20
2025-10-23 14:02:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #3/20
2025-10-23 14:02:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #4/20
2025-10-23 14:02:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #5/20
2025-10-23 14:02:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #6/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #7/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #8/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #9/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #10/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #11/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #12/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #13/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #14/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #15/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #16/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #17/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #18/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #19/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, getting new HP set #20/20
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, requested 20 jobs, got 20, 6.66 s/job
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #1/20 start
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #2/20 start
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #3/20 start
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #4/20 start
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #5/20 start
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #6/20 start
2025-10-23 14:02:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #7/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #8/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #9/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #10/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #11/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #12/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #13/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #14/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #15/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #16/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #17/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #18/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #19/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, eval #20/20 start
2025-10-23 14:02:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, starting new job
2025-10-23 14:02:41 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, unknown 1 = ∑1/20, started new job
2025-10-23 14:02:41 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, unknown 1 = ∑1/20, starting new job
2025-10-23 14:02:41 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, unknown 3 = ∑3/20, started new job
2025-10-23 14:02:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, unknown 3 = ∑3/20, starting new job
2025-10-23 14:02:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, unknown 4 = ∑4/20, started new job
2025-10-23 14:02:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, unknown 5 = ∑5/20, started new job
2025-10-23 14:02:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, unknown 6 = ∑6/20, started new job
2025-10-23 14:02:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/1 = ∑7/20, started new job
2025-10-23 14:02:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/2 = ∑8/20, started new job
2025-10-23 14:02:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/3 = ∑9/20, started new job
2025-10-23 14:02:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/4 = ∑10/20, started new job
2025-10-23 14:02:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/7 = ∑13/20, started new job
2025-10-23 14:02:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/8 = ∑14/20, started new job
2025-10-23 14:02:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/9 = ∑15/20, started new job
2025-10-23 14:02:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/10 = ∑16/20, started new job
2025-10-23 14:02:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/12 = ∑18/20, started new job
2025-10-23 14:02:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/13 = ∑19/20, started new job
2025-10-23 14:02:47 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending 4 = ∑4/20, starting new job
2025-10-23 14:02:47 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/14 = ∑20/20, started new job
2025-10-23 14:02:48 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending/unknown 6/14 = ∑20/20, waiting for 20 jobs
2025-10-23 14:02:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, pending 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:02:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-10-23 14:03:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:07:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 60 done, running 20 = ∑20/20, new result: VAL_ACC: 56.890000, NORMALIZED_RUNTIME: 3.385000
2025-10-23 14:07:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 61 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-23 14:07:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 61 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-23 14:07:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 61 done, running 19 = ∑19/20, new result: VAL_ACC: 56.240000, NORMALIZED_RUNTIME: 3.397000
2025-10-23 14:07:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 61 done, running 19 = ∑19/20, new result: VAL_ACC: 57.720000, NORMALIZED_RUNTIME: 3.467000
2025-10-23 14:07:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 61 done, running 19 = ∑19/20, new result: VAL_ACC: 55.550000, NORMALIZED_RUNTIME: 3.405000
2025-10-23 14:07:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 61 done, running 19 = ∑19/20, new result: VAL_ACC: 56.490000, NORMALIZED_RUNTIME: 3.489000
2025-10-23 14:07:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 61 done, running 19 = ∑19/20, new result: VAL_ACC: 56.820000, NORMALIZED_RUNTIME: 3.458000
2025-10-23 14:07:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 61 done, running 19 = ∑19/20, new result: VAL_ACC: 55.870000, NORMALIZED_RUNTIME: 3.481000
2025-10-23 14:07:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 61 done, running 19 = ∑19/20, new result: VAL_ACC: 57.050000, NORMALIZED_RUNTIME: 3.487000
2025-10-23 14:08:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, waiting for 19 jobs, finished 7 jobs
2025-10-23 14:08:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, waiting for 12 jobs
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 55.170000, NORMALIZED_RUNTIME: 3.445000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 57.230000, NORMALIZED_RUNTIME: 3.500000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 56.140000, NORMALIZED_RUNTIME: 3.869000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 54.920000, NORMALIZED_RUNTIME: 3.509000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 56.690000, NORMALIZED_RUNTIME: 3.746000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 57.340000, NORMALIZED_RUNTIME: 3.387000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 58.280000, NORMALIZED_RUNTIME: 3.759000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 57.530000, NORMALIZED_RUNTIME: 3.423000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 55.800000, NORMALIZED_RUNTIME: 3.482000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 53.940000, NORMALIZED_RUNTIME: 3.308000
2025-10-23 14:08:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 68 done, running 12 = ∑12/20, new result: VAL_ACC: 56.530000, NORMALIZED_RUNTIME: 3.369000
2025-10-23 14:09:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 79 done, running 1 = ∑1/20, waiting for 12 jobs, finished 11 jobs
2025-10-23 14:09:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 79 done, running 1 = ∑1/20, waiting for 1 job
2025-10-23 14:09:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 79 done, running 1 = ∑1/20, new result: VAL_ACC: 57.410000, NORMALIZED_RUNTIME: 3.803000
2025-10-23 14:09:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, waiting for 1 job, finished 1 job
2025-10-23 14:11:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #1/20
2025-10-23 14:11:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #2/20
2025-10-23 14:11:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #3/20
2025-10-23 14:11:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #4/20
2025-10-23 14:11:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #5/20
2025-10-23 14:11:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #6/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #7/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #8/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #9/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #10/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #11/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #12/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #13/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #14/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #15/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #16/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #17/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #18/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #19/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, getting new HP set #20/20
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, requested 20 jobs, got 20, 7.48 s/job
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #1/20 start
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #2/20 start
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #3/20 start
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #4/20 start
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #5/20 start
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #6/20 start
2025-10-23 14:11:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #7/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #8/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #9/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #10/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #11/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #12/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #13/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #14/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #15/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #16/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #17/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #18/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #19/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, eval #20/20 start
2025-10-23 14:11:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, starting new job
2025-10-23 14:11:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, unknown 4 = ∑4/20, started new job
2025-10-23 14:11:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, unknown 4 = ∑4/20, starting new job
2025-10-23 14:11:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, unknown 5 = ∑5/20, started new job
2025-10-23 14:11:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, unknown 5 = ∑5/20, starting new job
2025-10-23 14:11:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, unknown 6 = ∑6/20, started new job
2025-10-23 14:11:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, unknown 1 = ∑1/20, started new job
2025-10-23 14:11:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, unknown 8 = ∑8/20, started new job
2025-10-23 14:12:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending 9 = ∑9/20, started new job
2025-10-23 14:12:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending/unknown 9/2 = ∑11/20, started new job
2025-10-23 14:12:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending/unknown 10/3 = ∑13/20, started new job
2025-10-23 14:12:01 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending/unknown 11/4 = ∑15/20, started new job
2025-10-23 14:12:01 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending/unknown 11/5 = ∑16/20, started new job
2025-10-23 14:12:01 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending/unknown 11/7 = ∑18/20, started new job
2025-10-23 14:12:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending/unknown 11/8 = ∑19/20, started new job
2025-10-23 14:12:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending/unknown 11/9 = ∑20/20, started new job
2025-10-23 14:12:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending/unknown 11/9 = ∑20/20, waiting for 20 jobs
2025-10-23 14:12:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, pending 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:12:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-10-23 14:13:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:16:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 80 done, running 20 = ∑20/20, new result: VAL_ACC: 48.410000, NORMALIZED_RUNTIME: 3.614000
2025-10-23 14:17:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 81 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-23 14:17:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 81 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-23 14:17:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 81 done, running 19 = ∑19/20, new result: VAL_ACC: 52.600000, NORMALIZED_RUNTIME: 3.587000
2025-10-23 14:17:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 81 done, running 19 = ∑19/20, new result: VAL_ACC: 50.460000, NORMALIZED_RUNTIME: 3.561000
2025-10-23 14:17:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 81 done, running 19 = ∑19/20, new result: VAL_ACC: 55.120000, NORMALIZED_RUNTIME: 3.736000
2025-10-23 14:17:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 81 done, running 19 = ∑19/20, new result: VAL_ACC: 57.240000, NORMALIZED_RUNTIME: 3.744000
2025-10-23 14:17:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, waiting for 19 jobs, finished 4 jobs
2025-10-23 14:17:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, waiting for 15 jobs
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 52.090000, NORMALIZED_RUNTIME: 3.794000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 53.960000, NORMALIZED_RUNTIME: 3.944000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 53.880000, NORMALIZED_RUNTIME: 3.858000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 50.500000, NORMALIZED_RUNTIME: 3.588000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 52.510000, NORMALIZED_RUNTIME: 3.665000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 54.070000, NORMALIZED_RUNTIME: 3.669000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 50.780000, NORMALIZED_RUNTIME: 3.675000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 54.730000, NORMALIZED_RUNTIME: 3.714000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 53.460000, NORMALIZED_RUNTIME: 3.710000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 52.480000, NORMALIZED_RUNTIME: 3.627000
2025-10-23 14:17:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 47.860000, NORMALIZED_RUNTIME: 3.506000
2025-10-23 14:17:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 56.900000, NORMALIZED_RUNTIME: 3.787000
2025-10-23 14:17:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 51.650000, NORMALIZED_RUNTIME: 3.571000
2025-10-23 14:17:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 50.880000, NORMALIZED_RUNTIME: 3.618000
2025-10-23 14:17:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 85 done, running 15 = ∑15/20, new result: VAL_ACC: 51.880000, NORMALIZED_RUNTIME: 3.661000
2025-10-23 14:19:46 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, waiting for 15 jobs, finished 15 jobs
2025-10-23 14:23:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #1/20
2025-10-23 14:23:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #2/20
2025-10-23 14:23:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #3/20
2025-10-23 14:23:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #4/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #5/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #6/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #7/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #8/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #9/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #10/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #11/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #12/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #13/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #14/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #15/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #16/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #17/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #18/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #19/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, getting new HP set #20/20
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, requested 20 jobs, got 20, 9.86 s/job
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #1/20 start
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #2/20 start
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #3/20 start
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #4/20 start
2025-10-23 14:23:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #5/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #6/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #7/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #8/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #9/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #10/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #11/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #12/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #13/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #14/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #15/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #16/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #17/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #18/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #19/20 start
2025-10-23 14:23:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, eval #20/20 start
2025-10-23 14:23:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, starting new job
2025-10-23 14:23:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 2 = ∑2/20, started new job
2025-10-23 14:23:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 3 = ∑3/20, started new job
2025-10-23 14:23:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 3 = ∑3/20, starting new job
2025-10-23 14:23:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 4 = ∑4/20, started new job
2025-10-23 14:23:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 5 = ∑5/20, starting new job
2025-10-23 14:23:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 5 = ∑5/20, started new job
2025-10-23 14:23:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 7 = ∑7/20, started new job
2025-10-23 14:23:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 8 = ∑8/20, started new job
2025-10-23 14:23:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 9 = ∑9/20, started new job
2025-10-23 14:23:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 10 = ∑10/20, started new job
2025-10-23 14:23:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 12 = ∑12/20, started new job
2025-10-23 14:23:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 13 = ∑13/20, started new job
2025-10-23 14:23:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 14 = ∑14/20, started new job
2025-10-23 14:23:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 16 = ∑16/20, started new job
2025-10-23 14:23:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 17 = ∑17/20, started new job
2025-10-23 14:23:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 18 = ∑18/20, started new job
2025-10-23 14:23:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 19 = ∑19/20, started new job
2025-10-23 14:23:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 20 = ∑20/20, started new job
2025-10-23 14:23:10 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, unknown 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:23:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, pending 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:23:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-10-23 14:24:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:27:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 100 done, running/completed 19/1 = ∑20/20, new result: VAL_ACC: 29.350000, NORMALIZED_RUNTIME: 3.152000
2025-10-23 14:27:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 101 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-23 14:27:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 101 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-23 14:27:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 101 done, running 19 = ∑19/20, new result: VAL_ACC: 53.220000, NORMALIZED_RUNTIME: 3.410000
2025-10-23 14:27:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 101 done, running 19 = ∑19/20, new result: VAL_ACC: 58.260000, NORMALIZED_RUNTIME: 3.472000
2025-10-23 14:27:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 101 done, running 19 = ∑19/20, new result: VAL_ACC: 31.250000, NORMALIZED_RUNTIME: 3.164000
2025-10-23 14:27:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 101 done, running 19 = ∑19/20, new result: VAL_ACC: 58.340000, NORMALIZED_RUNTIME: 3.542000
2025-10-23 14:28:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, waiting for 19 jobs, finished 4 jobs
2025-10-23 14:28:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, waiting for 15 jobs
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 57.790000, NORMALIZED_RUNTIME: 3.610000
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 57.630000, NORMALIZED_RUNTIME: 3.428000
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 51.860000, NORMALIZED_RUNTIME: 3.461000
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 30.440000, NORMALIZED_RUNTIME: 3.179000
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 58.490000, NORMALIZED_RUNTIME: 3.496000
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 56.580000, NORMALIZED_RUNTIME: 3.414000
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 56.970000, NORMALIZED_RUNTIME: 3.357000
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 60.410000, NORMALIZED_RUNTIME: 3.829000
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 57.230000, NORMALIZED_RUNTIME: 3.560000
2025-10-23 14:28:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 105 done, running 15 = ∑15/20, new result: VAL_ACC: 56.800000, NORMALIZED_RUNTIME: 3.427000
2025-10-23 14:29:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 115 done, running 5 = ∑5/20, waiting for 15 jobs, finished 10 jobs
2025-10-23 14:29:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 115 done, running 5 = ∑5/20, waiting for 5 jobs
2025-10-23 14:29:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 115 done, running 5 = ∑5/20, new result: VAL_ACC: 57.010000, NORMALIZED_RUNTIME: 3.674000
2025-10-23 14:29:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 115 done, running 5 = ∑5/20, new result: VAL_ACC: 57.470000, NORMALIZED_RUNTIME: 3.467000
2025-10-23 14:29:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 115 done, running 5 = ∑5/20, new result: VAL_ACC: 60.150000, NORMALIZED_RUNTIME: 3.699000
2025-10-23 14:29:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 115 done, running 5 = ∑5/20, new result: VAL_ACC: 52.720000, NORMALIZED_RUNTIME: 3.456000
2025-10-23 14:30:36 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 119 done, running 1 = ∑1/20, waiting for 5 jobs, finished 4 jobs
2025-10-23 14:30:36 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 119 done, running 1 = ∑1/20, waiting for 1 job
2025-10-23 14:36:48 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 119 done, running 1 = ∑1/20, new result: VAL_ACC: 55.320000, NORMALIZED_RUNTIME: 10.899000
2025-10-23 14:37:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, waiting for 1 job, finished 1 job
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #1/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #2/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #3/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #4/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #5/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #6/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #7/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #8/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #9/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #10/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #11/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #12/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #13/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #14/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #15/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #16/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #17/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #18/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #19/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, getting new HP set #20/20
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, requested 20 jobs, got 20, 8.98 s/job
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #1/20 start
2025-10-23 14:40:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #2/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #3/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #4/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #5/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #6/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #7/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #8/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #9/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #10/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #11/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #12/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #13/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #14/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #15/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #16/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #17/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #18/20 start
2025-10-23 14:40:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #19/20 start
2025-10-23 14:40:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, eval #20/20 start
2025-10-23 14:40:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, starting new job
2025-10-23 14:40:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 1 = ∑1/20, started new job
2025-10-23 14:40:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 2 = ∑2/20, started new job
2025-10-23 14:40:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 1 = ∑1/20, starting new job
2025-10-23 14:40:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 2 = ∑2/20, starting new job
2025-10-23 14:40:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 3 = ∑3/20, started new job
2025-10-23 14:40:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 3 = ∑3/20, starting new job
2025-10-23 14:40:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 4 = ∑4/20, started new job
2025-10-23 14:40:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 4 = ∑4/20, starting new job
2025-10-23 14:40:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 5 = ∑5/20, started new job
2025-10-23 14:40:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 6 = ∑6/20, started new job
2025-10-23 14:40:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 7 = ∑7/20, started new job
2025-10-23 14:40:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 8 = ∑8/20, started new job
2025-10-23 14:40:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 11 = ∑11/20, started new job
2025-10-23 14:40:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, unknown 12 = ∑12/20, started new job
2025-10-23 14:40:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, pending/unknown 12/1 = ∑13/20, started new job
2025-10-23 14:40:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, pending/unknown 12/3 = ∑15/20, started new job
2025-10-23 14:40:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, pending/unknown 12/4 = ∑16/20, started new job
2025-10-23 14:40:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, pending/unknown 12/6 = ∑18/20, started new job
2025-10-23 14:40:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, pending/unknown 12/7 = ∑19/20, started new job
2025-10-23 14:40:08 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, pending/unknown 12/8 = ∑20/20, started new job
2025-10-23 14:40:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, pending/unknown 12/8 = ∑20/20, waiting for 20 jobs
2025-10-23 14:40:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, pending 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:40:30 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-10-23 14:41:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:44:47 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 120 done, running 20 = ∑20/20, new result: VAL_ACC: 57.130000, NORMALIZED_RUNTIME: 3.391000
2025-10-23 14:45:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 121 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-23 14:45:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 121 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-23 14:45:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 121 done, running 19 = ∑19/20, new result: VAL_ACC: 58.010000, NORMALIZED_RUNTIME: 3.454000
2025-10-23 14:45:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 121 done, running 19 = ∑19/20, new result: VAL_ACC: 59.890000, NORMALIZED_RUNTIME: 3.511000
2025-10-23 14:45:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 121 done, running 19 = ∑19/20, new result: VAL_ACC: 56.580000, NORMALIZED_RUNTIME: 3.456000
2025-10-23 14:45:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 121 done, running 19 = ∑19/20, new result: VAL_ACC: 56.130000, NORMALIZED_RUNTIME: 3.485000
2025-10-23 14:45:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 121 done, running 19 = ∑19/20, new result: VAL_ACC: 56.480000, NORMALIZED_RUNTIME: 3.407000
2025-10-23 14:45:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, waiting for 19 jobs, finished 5 jobs
2025-10-23 14:45:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, waiting for 14 jobs
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 56.210000, NORMALIZED_RUNTIME: 3.520000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 40.480000, NORMALIZED_RUNTIME: 3.355000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 24.630000, NORMALIZED_RUNTIME: 4.135000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 57.900000, NORMALIZED_RUNTIME: 3.424000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 24.940000, NORMALIZED_RUNTIME: 4.094000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 42.820000, NORMALIZED_RUNTIME: 3.234000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 59.190000, NORMALIZED_RUNTIME: 3.369000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 51.010000, NORMALIZED_RUNTIME: 3.312000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 24.260000, NORMALIZED_RUNTIME: 4.120000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 56.260000, NORMALIZED_RUNTIME: 3.449000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 22.300000, NORMALIZED_RUNTIME: 3.187000
2025-10-23 14:45:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 126 done, running 14 = ∑14/20, new result: VAL_ACC: 50.110000, NORMALIZED_RUNTIME: 3.605000
2025-10-23 14:47:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 138 done, completed 2 = ∑2/20, waiting for 14 jobs, finished 12 jobs
2025-10-23 14:47:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 138 done, completed 2 = ∑2/20, waiting for 2 jobs
2025-10-23 14:47:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 138 done, completed 2 = ∑2/20, new result: VAL_ACC: 23.180000, NORMALIZED_RUNTIME: 4.586000
2025-10-23 14:47:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 138 done, completed 2 = ∑2/20, new result: VAL_ACC: 25.650000, NORMALIZED_RUNTIME: 4.349000
2025-10-23 14:48:20 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, waiting for 2 jobs, finished 2 jobs
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #1/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #2/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #3/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #4/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #5/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #6/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #7/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #8/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #9/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #10/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #11/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #12/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #13/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #14/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #15/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #16/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #17/20
2025-10-23 14:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #18/20
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #19/20
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, getting new HP set #20/20
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, requested 20 jobs, got 20, 12.22 s/job
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #1/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #2/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #3/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #4/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #5/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #6/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #7/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #8/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #9/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #10/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #11/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #12/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #13/20 start
2025-10-23 14:52:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #14/20 start
2025-10-23 14:52:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #15/20 start
2025-10-23 14:52:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #16/20 start
2025-10-23 14:52:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #17/20 start
2025-10-23 14:52:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #18/20 start
2025-10-23 14:52:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #19/20 start
2025-10-23 14:52:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, eval #20/20 start
2025-10-23 14:52:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, starting new job
2025-10-23 14:52:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 1 = ∑1/20, started new job
2025-10-23 14:52:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 2 = ∑2/20, started new job
2025-10-23 14:52:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 2 = ∑2/20, starting new job
2025-10-23 14:52:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 4 = ∑4/20, started new job
2025-10-23 14:52:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 5 = ∑5/20, started new job
2025-10-23 14:52:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 5 = ∑5/20, starting new job
2025-10-23 14:52:28 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 6 = ∑6/20, started new job
2025-10-23 14:52:28 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 7 = ∑7/20, started new job
2025-10-23 14:52:28 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 1 = ∑1/20, starting new job
2025-10-23 14:52:28 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 9 = ∑9/20, started new job
2025-10-23 14:52:29 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 10 = ∑10/20, started new job
2025-10-23 14:52:29 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, unknown 13 = ∑13/20, started new job
2025-10-23 14:52:29 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, pending/unknown 4/10 = ∑14/20, started new job
2025-10-23 14:52:30 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, pending/unknown 10/6 = ∑16/20, started new job
2025-10-23 14:52:30 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, pending/unknown 10/8 = ∑18/20, started new job
2025-10-23 14:52:30 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, pending/unknown 10/9 = ∑19/20, started new job
2025-10-23 14:52:35 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, running/pending/unknown 10/7/3 = ∑20/20, started new job
2025-10-23 14:52:36 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, running/pending/unknown 10/7/3 = ∑20/20, waiting for 20 jobs
2025-10-23 14:52:41 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-10-23 14:53:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, running 20 = ∑20/20, waiting for 20 jobs
2025-10-23 14:56:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 140 done, running 20 = ∑20/20, new result: VAL_ACC: 53.990000, NORMALIZED_RUNTIME: 3.461000
2025-10-23 14:57:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 141 done, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-23 14:57:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 141 done, running 19 = ∑19/20, waiting for 19 jobs
2025-10-23 14:57:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 141 done, running 19 = ∑19/20, new result: VAL_ACC: 53.990000, NORMALIZED_RUNTIME: 3.669000
2025-10-23 14:57:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 141 done, running 19 = ∑19/20, new result: VAL_ACC: 54.340000, NORMALIZED_RUNTIME: 3.526000
2025-10-23 14:57:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 141 done, running 19 = ∑19/20, new result: VAL_ACC: 56.430000, NORMALIZED_RUNTIME: 3.681000
2025-10-23 14:57:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 141 done, running 19 = ∑19/20, new result: VAL_ACC: 52.450000, NORMALIZED_RUNTIME: 3.538000
2025-10-23 14:57:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 145 done, running 15 = ∑15/20, waiting for 19 jobs, finished 4 jobs
2025-10-23 14:57:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 145 done, running 15 = ∑15/20, waiting for 15 jobs
2025-10-23 14:57:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 145 done, running 15 = ∑15/20, new result: VAL_ACC: 49.130000, NORMALIZED_RUNTIME: 3.410000
2025-10-23 14:57:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 145 done, running 15 = ∑15/20, new result: VAL_ACC: 53.780000, NORMALIZED_RUNTIME: 3.999000
2025-10-23 14:57:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 145 done, running 15 = ∑15/20, new result: VAL_ACC: 57.940000, NORMALIZED_RUNTIME: 4.203000
2025-10-23 14:58:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 148 done, running 12 = ∑12/20, waiting for 15 jobs, finished 3 jobs
2025-10-23 14:58:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 148 done, running 12 = ∑12/20, waiting for 12 jobs
2025-10-23 14:58:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 148 done, running 12 = ∑12/20, new result: VAL_ACC: 56.860000, NORMALIZED_RUNTIME: 3.935000
2025-10-23 14:58:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 148 done, running 12 = ∑12/20, new result: VAL_ACC: 53.930000, NORMALIZED_RUNTIME: 4.018000
2025-10-23 14:58:50 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 150 done, running/completed 9/1 = ∑10/20, waiting for 12 jobs, finished 2 jobs
2025-10-23 14:58:50 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 150 done, running/completed 9/1 = ∑10/20, waiting for 10 jobs
2025-10-23 14:58:50 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 150 done, running/completed 9/1 = ∑10/20, new result: VAL_ACC: 58.210000, NORMALIZED_RUNTIME: 4.498000
2025-10-23 14:58:50 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 150 done, running/completed 9/1 = ∑10/20, new result: VAL_ACC: 58.570000, NORMALIZED_RUNTIME: 4.631000
2025-10-23 14:59:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 152 done, running 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs
2025-10-23 14:59:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 152 done, running 8 = ∑8/20, waiting for 8 jobs
2025-10-23 14:59:17 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 152 done, running 8 = ∑8/20, new result: VAL_ACC: 59.060000, NORMALIZED_RUNTIME: 4.808000
2025-10-23 14:59:35 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 153 done, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-23 14:59:35 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 153 done, running 7 = ∑7/20, waiting for 7 jobs
2025-10-23 15:00:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 153 done, running 7 = ∑7/20, new result: VAL_ACC: 59.260000, NORMALIZED_RUNTIME: 6.014000
2025-10-23 15:00:21 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 154 done, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-10-23 15:00:21 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 154 done, running 6 = ∑6/20, waiting for 6 jobs
2025-10-23 15:00:22 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 154 done, running 6 = ∑6/20, new result: VAL_ACC: 59.390000, NORMALIZED_RUNTIME: 5.827000
2025-10-23 15:00:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 155 done, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-23 15:00:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 155 done, running 5 = ∑5/20, waiting for 5 jobs
2025-10-23 15:00:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 155 done, running 5 = ∑5/20, new result: VAL_ACC: 59.540000, NORMALIZED_RUNTIME: 6.179000
2025-10-23 15:00:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 156 done, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-23 15:00:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 156 done, running 4 = ∑4/20, waiting for 4 jobs
2025-10-23 15:06:30 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 156 done, running 4 = ∑4/20, new result: VAL_ACC: 60.350000, NORMALIZED_RUNTIME: 11.487000
2025-10-23 15:06:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 157 done, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-23 15:06:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 157 done, running 3 = ∑3/20, waiting for 3 jobs
2025-10-23 15:06:50 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 157 done, running 3 = ∑3/20, new result: VAL_ACC: 59.940000, NORMALIZED_RUNTIME: 11.585000
2025-10-23 15:07:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 158 done, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-23 15:07:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 158 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-23 15:07:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 158 done, running 2 = ∑2/20, new result: VAL_ACC: 60.160000, NORMALIZED_RUNTIME: 11.488000
2025-10-23 15:07:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 158 done, running 2 = ∑2/20, new result: VAL_ACC: 60.080000, NORMALIZED_RUNTIME: 11.540000
2025-10-23 15:07:37 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, waiting for 2 jobs, finished 2 jobs
2025-10-23 15:11:48 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #1/20
2025-10-23 15:11:48 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #2/20
2025-10-23 15:11:48 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #3/20
2025-10-23 15:11:48 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #4/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #5/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #6/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #7/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #8/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #9/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #10/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #11/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #12/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #13/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #14/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #15/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #16/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #17/20
2025-10-23 15:11:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #18/20
2025-10-23 15:12:21 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, getting new HP set #19/20
2025-10-23 15:16:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, requested 20 jobs, got 18, 29.34 s/job
2025-10-23 15:16:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #1/18 start
2025-10-23 15:16:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #2/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #3/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #4/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #5/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #6/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #7/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #8/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #9/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #10/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #11/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #12/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #13/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #14/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #15/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #16/18 start
2025-10-23 15:16:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #17/18 start
2025-10-23 15:16:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, eval #18/18 start
2025-10-23 15:16:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, starting new job
2025-10-23 15:16:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, unknown 1 = ∑1/20, started new job
2025-10-23 15:16:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, unknown 2 = ∑2/20, started new job
2025-10-23 15:16:28 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, unknown 2 = ∑2/20, waiting for 2 jobs
2025-10-23 15:16:32 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, pending 2 = ∑2/20, waiting for 2 jobs
2025-10-23 15:16:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-23 15:21:09 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 160 done, running 2 = ∑2/20, new result: VAL_ACC: 40.140000, NORMALIZED_RUNTIME: 3.611000
2025-10-23 15:21:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 161 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-23 15:21:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 161 done, running 1 = ∑1/20, waiting for 1 job
2025-10-23 15:21:28 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 161 done, running 1 = ∑1/20, new result: VAL_ACC: 48.760000, NORMALIZED_RUNTIME: 3.685000
2025-10-23 15:21:46 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, waiting for 1 job, finished 1 job
2025-10-23 15:25:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, getting new HP set #1/20
2025-10-23 15:25:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, getting new HP set #2/20
2025-10-23 15:25:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, getting new HP set #3/20
2025-10-23 15:25:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, getting new HP set #4/20
2025-10-23 15:29:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, getting new HP set #5/20
2025-10-23 15:29:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, requested 20 jobs, got 4, 112.43 s/job
2025-10-23 15:29:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, eval #1/4 start
2025-10-23 15:29:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, eval #2/4 start
2025-10-23 15:29:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, eval #3/4 start
2025-10-23 15:29:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, eval #4/4 start
2025-10-23 15:29:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, starting new job
2025-10-23 15:29:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, unknown 2 = ∑2/20, started new job
2025-10-23 15:29:17 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, unknown 2 = ∑2/20, waiting for 2 jobs
2025-10-23 15:29:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, pending 2 = ∑2/20, waiting for 2 jobs
2025-10-23 15:29:21 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, running 2 = ∑2/20, waiting for 2 jobs
2025-10-23 15:33:37 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 162 done, running 2 = ∑2/20, new result: VAL_ACC: 53.340000, NORMALIZED_RUNTIME: 3.363000
2025-10-23 15:33:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 163 done, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-23 15:33:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 163 done, running 1 = ∑1/20, waiting for 1 job
2025-10-23 15:34:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 163 done, running 1 = ∑1/20, new result: VAL_ACC: 56.660000, NORMALIZED_RUNTIME: 3.840000
2025-10-23 15:34:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, waiting for 1 job, finished 1 job
2025-10-23 15:39:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #2/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #3/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #4/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #5/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #6/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #7/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #8/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #9/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #10/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #11/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #12/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #13/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #14/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #15/20
2025-10-23 15:39:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #16/20
2025-10-23 15:40:50 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #17/20
2025-10-23 15:44:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 16, 36.97 s/job
2025-10-23 15:44:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #1/16 start
2025-10-23 15:44:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #2/16 start
2025-10-23 15:44:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #3/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #4/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #5/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #6/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #7/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #8/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #9/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #10/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #11/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #12/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #13/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #14/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #15/16 start
2025-10-23 15:44:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, eval #16/16 start
2025-10-23 15:49:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 15:49:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 15:49:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 1 zero-jobs (max: 50)
2025-10-23 15:54:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 15:54:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 15:54:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 2 zero-jobs (max: 50)
2025-10-23 15:59:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 15:59:55 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 15:59:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 3 zero-jobs (max: 50)
2025-10-23 16:05:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:05:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:05:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 4 zero-jobs (max: 50)
2025-10-23 16:10:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:10:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:10:35 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 5 zero-jobs (max: 50)
2025-10-23 16:15:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:15:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:15:58 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 6 zero-jobs (max: 50)
2025-10-23 16:21:32 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:21:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:21:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 7 zero-jobs (max: 50)
2025-10-23 16:26:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:26:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:26:41 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 8 zero-jobs (max: 50)
2025-10-23 16:31:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:31:53 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:31:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 9 zero-jobs (max: 50)
2025-10-23 16:36:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:36:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:36:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 10 zero-jobs (max: 50)
2025-10-23 16:42:10 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:42:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:42:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 11 zero-jobs (max: 50)
2025-10-23 16:47:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:47:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:47:20 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 12 zero-jobs (max: 50)
2025-10-23 16:52:22 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:52:23 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:52:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 13 zero-jobs (max: 50)
2025-10-23 16:57:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 16:57:21 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 16:57:22 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 14 zero-jobs (max: 50)
2025-10-23 17:02:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:02:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:02:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 15 zero-jobs (max: 50)
2025-10-23 17:07:41 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:07:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:07:43 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 16 zero-jobs (max: 50)
2025-10-23 17:12:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:12:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:12:46 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 17 zero-jobs (max: 50)
2025-10-23 17:17:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:17:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:17:42 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 18 zero-jobs (max: 50)
2025-10-23 17:22:37 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:22:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:22:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 19 zero-jobs (max: 50)
2025-10-23 17:27:50 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:27:51 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:27:52 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 20 zero-jobs (max: 50)
2025-10-23 17:33:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:33:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:33:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 21 zero-jobs (max: 50)
2025-10-23 17:38:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:38:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:38:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 22 zero-jobs (max: 50)
2025-10-23 17:43:37 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:43:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:43:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 23 zero-jobs (max: 50)
2025-10-23 17:49:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:49:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:49:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 24 zero-jobs (max: 50)
2025-10-23 17:54:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:54:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:54:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 25 zero-jobs (max: 50)
2025-10-23 17:59:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 17:59:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 17:59:17 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 26 zero-jobs (max: 50)
2025-10-23 18:04:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:04:15 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:04:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 27 zero-jobs (max: 50)
2025-10-23 18:09:32 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:09:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:09:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 28 zero-jobs (max: 50)
2025-10-23 18:14:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:14:40 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:14:41 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 29 zero-jobs (max: 50)
2025-10-23 18:19:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:19:46 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:19:47 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 30 zero-jobs (max: 50)
2025-10-23 18:25:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:25:06 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:25:07 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 31 zero-jobs (max: 50)
2025-10-23 18:30:01 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:30:02 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:30:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 32 zero-jobs (max: 50)
2025-10-23 18:35:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:35:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:35:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 33 zero-jobs (max: 50)
2025-10-23 18:40:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:40:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:40:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 34 zero-jobs (max: 50)
2025-10-23 18:45:29 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:45:30 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:45:31 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 35 zero-jobs (max: 50)
2025-10-23 18:50:46 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:50:47 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:50:49 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 36 zero-jobs (max: 50)
2025-10-23 18:55:59 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 18:56:00 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 18:56:01 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 37 zero-jobs (max: 50)
2025-10-23 19:01:13 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:01:14 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:01:16 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 38 zero-jobs (max: 50)
2025-10-23 19:06:23 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:06:24 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:06:25 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 39 zero-jobs (max: 50)
2025-10-23 19:11:26 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:11:27 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:11:28 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 40 zero-jobs (max: 50)
2025-10-23 19:16:32 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:16:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:16:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 41 zero-jobs (max: 50)
2025-10-23 19:21:44 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:21:45 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:21:46 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 42 zero-jobs (max: 50)
2025-10-23 19:27:03 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:27:04 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:27:05 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 43 zero-jobs (max: 50)
2025-10-23 19:32:17 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:32:18 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:32:19 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 44 zero-jobs (max: 50)
2025-10-23 19:37:30 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:37:31 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:37:32 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 45 zero-jobs (max: 50)
2025-10-23 19:42:37 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:42:38 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:42:39 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 46 zero-jobs (max: 50)
2025-10-23 19:47:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:47:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:47:35 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 47 zero-jobs (max: 50)
2025-10-23 19:52:54 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:52:56 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:52:57 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 48 zero-jobs (max: 50)
2025-10-23 19:58:10 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 19:58:11 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 19:58:12 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 49 zero-jobs (max: 50)
2025-10-23 20:03:32 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, getting new HP set #1/20
2025-10-23 20:03:33 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, requested 20 jobs, got 0, n/a
2025-10-23 20:03:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, found 50 zero-jobs (max: 50)
2025-10-23 20:03:34 (ae8f3e1e-eece-4ebe-be13-e47f7bce1afd): SOBOL, 164 done, 50 empty jobs (>= 50)
