Experiment overview
| Setting | Value |
|---|
| Model for non-random steps | BOTORCH_MODULAR |
| Max. nr. evaluations | 1000 |
| Number random steps | 20 |
| Nr. of workers (parameter) | 20 |
| Main process memory (GB) | 20 |
| Worker memory (GB) | 40 |
Job Summary per Generation Node
| Generation Node | Total | COMPLETED |
|---|
| SOBOL | 20 | 20 |
| BOTORCH_MODULAR | 660 | 660 |
Experiment parameters
| Name | Type | Lower bound | Upper bound | Type | Log Scale? |
|---|
| epochs | range | 20 | 120 | int | No |
| lr | range | 0.0001 | 0.001 | float | No |
| batch_size | range | 64 | 1024 | int | No |
| hidden_size | range | 512 | 4096 | int | No |
| dropout | range | 0 | 0.5 | float | No |
| num_dense_layers | range | 1 | 2 | int | No |
| filter | range | 16 | 128 | int | No |
| num_conv_layers | range | 5 | 7 | int | No |
Number of evaluations
| Failed |
Succeeded |
Running |
Total |
| 0 |
680 |
0 |
680 |
Result names and types
Last progressbar status
2025-11-01 16:43:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, new result: VAL_ACC: 71.070000
Git-Version
Commit: 22dff5e42d11df9db4d629447d7b72508f7c6990 (8953-1-g22dff5e42)
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,epochs,lr,batch_size,hidden_size,dropout,num_dense_layers,filter,num_conv_layers
0,1761928311,106,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928417,1761929396,979,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 91 --learning_rate 0.00049478450119495388 --batch_size 457 --hidden_size 2075 --dropout 0.15108238160610198975 --num_dense_layers 1 --filter 57 --num_conv_layers 5,0,,c37,1205841,0_0,COMPLETED,SOBOL,59.880000000000002557953848736361,91,0.000494784501194953877517557217,457,2075,0.15108238160610198974609375,1,57,5
1,1761928311,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928316,1761928848,532,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 45 --learning_rate 0.00091791896764189011 --batch_size 1021 --hidden_size 3300 --dropout 0.41729944245889782906 --num_dense_layers 2 --filter 115 --num_conv_layers 7,0,,c87,1205839,1_0,COMPLETED,SOBOL,63.439999999999997726263245567679,45,0.000917918967641890106747004641,1021,3300,0.417299442458897829055786132812,2,115,7
2,1761928310,437,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928747,1761928983,236,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00026982400761917233 --batch_size 294 --hidden_size 905 --dropout 0.30130850011482834816 --num_dense_layers 2 --filter 40 --num_conv_layers 6,0,,c154,1205845,2_0,COMPLETED,SOBOL,41.82000000000000028421709430404,20,0.000269824007619172325650458433,294,905,0.301308500114828348159790039062,2,40,6
3,1761928310,544,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928854,1761930149,1295,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00069285547053441409 --batch_size 704 --hidden_size 3042 --dropout 0.00530975963920354843 --num_dense_layers 1 --filter 77 --num_conv_layers 5,0,,c87,1205846,3_0,COMPLETED,SOBOL,60.96000000000000085265128291212,117,0.000692855470534414091300645655,704,3042,0.005309759639203548431396484375,1,77,5
4,1761928316,1166,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761929482,1761930593,1111,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00017186445379629731 --batch_size 787 --hidden_size 2663 --dropout 0.0954347723163664341 --num_dense_layers 1 --filter 29 --num_conv_layers 7,0,,c155,1205856,4_0,COMPLETED,SOBOL,40.03000000000000113686837721616,108,0.000171864453796297312520094391,787,2663,0.095434772316366434097290039062,1,29,7
5,1761928310,96,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928406,1761928824,418,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 37 --learning_rate 0.00059434853149577976 --batch_size 391 --hidden_size 1199 --dropout 0.32847779896110296249 --num_dense_layers 2 --filter 88 --num_conv_layers 5,0,,c131,1205840,5_0,COMPLETED,SOBOL,61.310000000000002273736754432321,37,0.000594348531495779756027297847,391,1199,0.328477798961102962493896484375,2,88,5
6,1761928311,938,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761929249,1761929911,662,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 61 --learning_rate 0.00039691081829369067 --batch_size 623 --hidden_size 3790 --dropout 0.45266257692128419876 --num_dense_layers 2 --filter 68 --num_conv_layers 6,0,,c80,1205852,6_0,COMPLETED,SOBOL,57.909999999999996589394868351519,61,0.000396910818293690667146050854,623,3790,0.452662576921284198760986328125,2,68,6
7,1761928311,228,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928539,1761929753,1214,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00081927816625684499 --batch_size 75 --hidden_size 1445 --dropout 0.24842494027689099312 --num_dense_layers 1 --filter 104 --num_conv_layers 7,0,,c99,1205843,7_0,COMPLETED,SOBOL,66.849999999999994315658113919199,82,0.000819278166256844986650720308,75,1445,0.248424940276890993118286132812,1,104,7
8,1761928311,563,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928874,1761929629,755,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00023980454411357639 --batch_size 587 --hidden_size 1030 --dropout 0.37921575736254453659 --num_dense_layers 1 --filter 20 --num_conv_layers 6,0,,c131,1205847,8_0,COMPLETED,SOBOL,35.840000000000003410605131648481,75,0.000239804544113576389302577851,587,1030,0.379215757362544536590576171875,1,20,6
9,1761928311,272,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928583,1761929473,890,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00077203538455069068 --batch_size 171 --hidden_size 2496 --dropout 0.17744824895635247231 --num_dense_layers 2 --filter 96 --num_conv_layers 5,0,,c126,1205844,9_0,COMPLETED,SOBOL,64.930000000000006821210263296962,70,0.000772035384550690678695517022,171,2496,0.177448248956352472305297851562,2,96,5
10,1761928311,689,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761929000,1761929474,474,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 44 --learning_rate 0.00046476163966581224 --batch_size 900 --hidden_size 1726 --dropout 0.04143623681738972664 --num_dense_layers 2 --filter 59 --num_conv_layers 6,0,,c154,1205848,10_0,COMPLETED,SOBOL,54.939999999999997726263245567679,44,0.000464761639665812239380349169,900,1726,0.041436236817389726638793945312,2,59,6
11,1761928312,1156,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761929468,1761930641,1173,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00099710920983925463 --batch_size 338 --hidden_size 4069 --dropout 0.27689978573471307755 --num_dense_layers 1 --filter 114 --num_conv_layers 7,0,,c30,1205855,11_0,COMPLETED,SOBOL,65.959999999999993747223925311118,99,0.000997109209839254625670768029,338,4069,0.276899785734713077545166015625,1,114,7
12,1761928311,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928316,1761929546,1230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00033903630739077925 --batch_size 195 --hidden_size 3467 --dropout 0.3743813452310860157 --num_dense_layers 1 --filter 49 --num_conv_layers 6,0,,c130,1205838,12_0,COMPLETED,SOBOL,59.46999999999999886313162278384,108,0.000339036307390779250835882719,195,3467,0.374381345231086015701293945312,1,49,6
13,1761928311,688,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928999,1761929311,312,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 27 --learning_rate 0.00087017302112653858 --batch_size 742 --hidden_size 2244 --dropout 0.07687398884445428848 --num_dense_layers 2 --filter 125 --num_conv_layers 7,0,,c64,1205849,13_0,COMPLETED,SOBOL,55.03999999999999914734871708788,27,0.000870173021126538579622655689,742,2244,0.076873988844454288482666015625,2,125,7
14,1761928311,1006,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761929317,1761929884,567,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00011400026772171259 --batch_size 508 --hidden_size 2762 --dropout 0.20447806548327207565 --num_dense_layers 2 --filter 31 --num_conv_layers 6,0,,c64,1205853,14_0,COMPLETED,SOBOL,44.490000000000001989519660128281,54,0.000114000267721712589610860711,508,2762,0.204478065483272075653076171875,2,31,6
15,1761928311,1091,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761929402,1761930289,887,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 84 --learning_rate 0.0006452399782836438 --batch_size 910 --hidden_size 624 --dropout 0.46926662931218743324 --num_dense_layers 1 --filter 85 --num_conv_layers 5,0,,c37,1205854,15_0,COMPLETED,SOBOL,57.53999999999999914734871708788,84,0.000645239978283643797300761502,910,624,0.469266629312187433242797851562,1,85,5
16,1761928311,756,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761929067,1761930359,1292,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 88 --learning_rate 0.00013067234167829156 --batch_size 140 --hidden_size 3731 --dropout 0.02683302434161305428 --num_dense_layers 2 --filter 119 --num_conv_layers 6,0,,c148,1205850,16_0,COMPLETED,SOBOL,59.42999999999999971578290569596,88,0.000130672341678291561170924262,140,3731,0.026833024341613054275512695312,2,119,6
17,1761928311,139,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761928450,1761929060,610,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00060741922436282042 --batch_size 557 --hidden_size 1595 --dropout 0.29162503872066736221 --num_dense_layers 1 --filter 53 --num_conv_layers 5,0,,c148,1205842,17_0,COMPLETED,SOBOL,59.57999999999999829469743417576,55,0.000607419224362820415856478729,557,1595,0.291625038720667362213134765625,1,53,5
18,1761928312,782,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761929094,1761929463,369,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 30 --learning_rate 0.00035570837967097759 --batch_size 311 --hidden_size 2617 --dropout 0.42702289950102567673 --num_dense_layers 1 --filter 73 --num_conv_layers 5,0,,c155,1205851,18_0,COMPLETED,SOBOL,58.42999999999999971578290569596,30,0.000355708379670977589779440331,311,2617,0.427022899501025676727294921875,1,73,5
19,1761928322,1161,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761929483,1761930661,1178,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 114 --learning_rate 0.00083235226552933459 --batch_size 868 --hidden_size 1393 --dropout 0.12951900670304894447 --num_dense_layers 2 --filter 44 --num_conv_layers 7,0,,c154,1205857,19_0,COMPLETED,SOBOL,53.03999999999999914734871708788,114,0.000832352265529334592666921289,868,1393,0.129519006703048944473266601562,2,44,7
20,1761930724,569,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931293,1761931624,331,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00090046444857220793 --batch_size 64 --hidden_size 3483 --dropout 0.43395033186635811884 --num_dense_layers 1 --filter 101 --num_conv_layers 7,0,,c64,1205895,20_0,COMPLETED,BOTORCH_MODULAR,59.240000000000001989519660128281,20,0.000900464448572207932716682244,64,3483,0.433950331866358118837467827689,1,101,7
21,1761930723,540,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931263,1761932364,1101,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.00088516870608781331 --batch_size 64 --hidden_size 3486 --dropout 0.44990766717233010574 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c131,1205894,21_0,COMPLETED,BOTORCH_MODULAR,67.379999999999995452526491135359,71,0.000885168706087813305684319776,64,3486,0.449907667172330105742616979114,1,102,7
22,1761930723,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761930751,1761931903,1152,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00088834400245761571 --batch_size 64 --hidden_size 3489 --dropout 0.45311042787158822831 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c103,1205888,22_0,COMPLETED,BOTORCH_MODULAR,67.980000000000003979039320256561,72,0.000888344002457615712457783541,64,3489,0.453110427871588228310173462887,1,102,7
23,1761930724,478,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931202,1761933075,1873,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00088353178023426306 --batch_size 64 --hidden_size 3497 --dropout 0.46356925963324546736 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c80,1205893,23_0,COMPLETED,BOTORCH_MODULAR,67.560000000000002273736754432321,120,0.000883531780234263056962584759,64,3497,0.463569259633245467355777691409,1,102,7
24,1761930723,71,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761930794,1761932246,1452,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00088629601089918657 --batch_size 64 --hidden_size 3480 --dropout 0.44331424245400063988 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c85,1205889,24_0,COMPLETED,BOTORCH_MODULAR,67.89000000000000056843418860808,73,0.000886296010899186568511576301,64,3480,0.44331424245400063988142846938,1,102,7
25,1761930724,478,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931202,1761932347,1145,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00089181625875369602 --batch_size 64 --hidden_size 3479 --dropout 0.44987208217745755512 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c103,1205892,25_0,COMPLETED,BOTORCH_MODULAR,68.090000000000003410605131648481,73,0.000891816258753696015047773837,64,3479,0.449872082177457555118849086284,1,102,7
26,1761930724,629,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931353,1761932544,1191,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.0008869126413858174 --batch_size 64 --hidden_size 3490 --dropout 0.4848167934315406602 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c125,1205898,26_0,COMPLETED,BOTORCH_MODULAR,67.409999999999996589394868351519,71,0.000886912641385817403921754121,64,3490,0.484816793431540660197498482376,1,102,7
27,1761930724,88,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761930812,1761931960,1148,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00088849205011256314 --batch_size 64 --hidden_size 3482 --dropout 0.47664191918755749455 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c149,1205890,27_0,COMPLETED,BOTORCH_MODULAR,67.349999999999994315658113919199,72,0.000888492050112563136986254531,64,3482,0.476641919187557494552720527281,1,102,7
28,1761930724,599,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931323,1761932520,1197,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00089493230580086844 --batch_size 64 --hidden_size 3490 --dropout 0.46692860373428940468 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c152,1205896,28_0,COMPLETED,BOTORCH_MODULAR,67.569999999999993178789736703038,73,0.000894932305800868435792516653,64,3490,0.466928603734289404680879442822,1,102,7
29,1761930724,689,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931413,1761932566,1153,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00088776712849818792 --batch_size 64 --hidden_size 3477 --dropout 0.46417020664980368494 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c107,1205899,29_0,COMPLETED,BOTORCH_MODULAR,67.700000000000002842170943040401,74,0.000887767128498187919720396888,64,3477,0.464170206649803684939570302959,1,102,7
30,1761930724,600,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931324,1761932519,1195,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.0008854944725680497 --batch_size 80 --hidden_size 3650 --dropout 0.4649422168154252466 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c145,1205897,30_0,COMPLETED,BOTORCH_MODULAR,67.599999999999994315658113919199,81,0.000885494472568049703978254605,80,3650,0.464942216815425246601023445692,1,102,7
31,1761930724,750,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931474,1761932622,1148,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00088136528327019208 --batch_size 64 --hidden_size 3478 --dropout 0.43849889868227670542 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c130,1205900,31_0,COMPLETED,BOTORCH_MODULAR,67.799999999999997157829056959599,73,0.000881365283270192081607752321,64,3478,0.438498898682276705418559004102,1,102,7
32,1761930724,1055,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931779,1761932919,1140,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 78 --learning_rate 0.00093246922072087268 --batch_size 77 --hidden_size 2678 --dropout 0.46020508111722163713 --num_dense_layers 1 --filter 100 --num_conv_layers 7,0,,c79,1205902,32_0,COMPLETED,BOTORCH_MODULAR,67.540000000000006252776074688882,78,0.000932469220720872683273727777,77,2678,0.460205081117221637132530531744,1,100,7
33,1761930724,930,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931654,1761932773,1119,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.0008858065319665157 --batch_size 64 --hidden_size 3493 --dropout 0.47570863465880197651 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c64,1205901,33_0,COMPLETED,BOTORCH_MODULAR,67.950000000000002842170943040401,71,0.000885806531966515701102815594,64,3493,0.47570863465880197651358685107,1,102,7
34,1761930724,1055,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931779,1761932117,338,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.0009005533508544964 --batch_size 64 --hidden_size 3481 --dropout 0.43584187922738232279 --num_dense_layers 1 --filter 101 --num_conv_layers 7,0,,c79,1205903,34_0,COMPLETED,BOTORCH_MODULAR,58.049999999999997157829056959599,20,0.000900553350854496397967507981,64,3481,0.435841879227382322792294644387,1,101,7
35,1761930724,208,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761930932,1761932048,1116,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00088800338750469603 --batch_size 64 --hidden_size 3486 --dropout 0.45986182624030713662 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c148,1205891,35_0,COMPLETED,BOTORCH_MODULAR,67.400000000000005684341886080801,72,0.000888003387504696030559092623,64,3486,0.459861826240307136615115268796,1,102,7
36,1761930729,1052,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931781,1761932194,413,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 32 --learning_rate 0.00090490037828873154 --batch_size 206 --hidden_size 3584 --dropout 0.42829054408127159581 --num_dense_layers 1 --filter 101 --num_conv_layers 7,0,,c79,1205904,36_0,COMPLETED,BOTORCH_MODULAR,65.409999999999996589394868351519,32,0.000904900378288731543040268601,206,3584,0.428290544081271595810989083475,1,101,7
37,1761930729,1196,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931925,1761933066,1141,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00088190388750879613 --batch_size 64 --hidden_size 3480 --dropout 0.46609069009119752369 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c103,1205905,37_0,COMPLETED,BOTORCH_MODULAR,67.909999999999996589394868351519,72,0.00088190388750879612593525092,64,3480,0.466090690091197523692301274423,1,102,7
38,1761930734,1221,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931955,1761933109,1154,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.000887708811818208 --batch_size 64 --hidden_size 3477 --dropout 0.46169444884381138916 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c149,1205907,38_0,COMPLETED,BOTORCH_MODULAR,67.370000000000004547473508864641,73,0.000887708811818208000030128169,64,3477,0.461694448843811389160407543386,1,102,7
39,1761930734,1196,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761931930,1761933060,1130,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00088641020213729564 --batch_size 64 --hidden_size 3485 --dropout 0.4422705471062806093 --num_dense_layers 1 --filter 102 --num_conv_layers 7,0,,c14,1205906,39_0,COMPLETED,BOTORCH_MODULAR,67.540000000000006252776074688882,72,0.00088641020213729563616278373,64,3485,0.442270547106280609295225758615,1,102,7
40,1761933178,673,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933851,1761934457,606,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.00098994599267996503 --batch_size 467 --hidden_size 4096 --dropout 0.37162385847712386955 --num_dense_layers 1 --filter 91 --num_conv_layers 6,0,,c99,1205946,40_0,COMPLETED,BOTORCH_MODULAR,64.870000000000004547473508864641,53,0.000989945992679965025562438541,467,4096,0.371623858477123869548108814342,1,91,6
41,1761933178,317,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933495,1761934119,624,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00099528125496012028 --batch_size 480 --hidden_size 4096 --dropout 0.35635148347183026596 --num_dense_layers 1 --filter 89 --num_conv_layers 6,0,,c4,1205941,41_0,COMPLETED,BOTORCH_MODULAR,63.990000000000001989519660128281,55,0.000995281254960120277328061711,480,4096,0.356351483471830265958857353326,1,89,6
42,1761933178,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933248,1761933847,599,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.00099863409102684316 --batch_size 489 --hidden_size 3448 --dropout 0.37186744544141114854 --num_dense_layers 1 --filter 91 --num_conv_layers 6,0,,c96,1205940,42_0,COMPLETED,BOTORCH_MODULAR,64.340000000000003410605131648481,53,0.000998634091026843161154058492,489,3448,0.371867445441411148543409126432,1,91,6
43,1761933179,792,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933971,1761934640,669,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 58 --learning_rate 0.00098632732214027448 --batch_size 460 --hidden_size 3844 --dropout 0.34561605083416419015 --num_dense_layers 1 --filter 89 --num_conv_layers 6,0,,c93,1205948,43_0,COMPLETED,BOTORCH_MODULAR,65.129999999999995452526491135359,58,0.00098632732214027447545379168,460,3844,0.345616050834164190153074969203,1,89,6
44,1761933178,702,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933880,1761934498,618,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00098824155528488724 --batch_size 430 --hidden_size 3724 --dropout 0.34451421186215397396 --num_dense_layers 1 --filter 88 --num_conv_layers 6,0,,c96,1205947,44_0,COMPLETED,BOTORCH_MODULAR,65.099999999999994315658113919199,56,0.000988241555284887244689495667,430,3724,0.344514211862153973964240094574,1,88,6
45,1761933178,437,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933615,1761934215,600,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.00100000000000000002 --batch_size 529 --hidden_size 3261 --dropout 0.36830356639721600898 --num_dense_layers 1 --filter 90 --num_conv_layers 6,0,,c26,1205943,45_0,COMPLETED,BOTORCH_MODULAR,64.459999999999993747223925311118,53,0.001000000000000000020816681712,529,3261,0.368303566397216008976300827271,1,90,6
46,1761933179,912,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934091,1761934704,613,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00100000000000000002 --batch_size 490 --hidden_size 3054 --dropout 0.35347402004877837012 --num_dense_layers 1 --filter 88 --num_conv_layers 6,0,,c30,1205950,46_0,COMPLETED,BOTORCH_MODULAR,64.480000000000003979039320256561,54,0.001000000000000000020816681712,490,3054,0.353474020048778370117759095592,1,88,6
47,1761933179,641,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933820,1761934452,632,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 57 --learning_rate 0.00097536222875552333 --batch_size 395 --hidden_size 3872 --dropout 0.34041411314602443294 --num_dense_layers 1 --filter 88 --num_conv_layers 6,0,,c103,1205945,47_0,COMPLETED,BOTORCH_MODULAR,65.180000000000006821210263296962,57,0.000975362228755523330038512686,395,3872,0.340414113146024432943193005485,1,88,6
48,1761933179,1134,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934313,1761934923,610,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00100000000000000002 --batch_size 513 --hidden_size 3565 --dropout 0.36361352166340266123 --num_dense_layers 1 --filter 89 --num_conv_layers 6,0,,c65,1205954,48_0,COMPLETED,BOTORCH_MODULAR,64.150000000000005684341886080801,54,0.001000000000000000020816681712,513,3565,0.363613521663402661232566970284,1,89,6
49,1761933179,1153,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934332,1761934981,649,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 58 --learning_rate 0.00098019145808488973 --batch_size 413 --hidden_size 3512 --dropout 0.33830019226293289725 --num_dense_layers 1 --filter 88 --num_conv_layers 6,0,,c93,1205955,49_0,COMPLETED,BOTORCH_MODULAR,64.89000000000000056843418860808,58,0.000980191458084889730498212579,413,3512,0.338300192262932897246940910918,1,88,6
50,1761933179,1124,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934303,1761934916,613,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00099975601269166746 --batch_size 481 --hidden_size 3675 --dropout 0.36093311436822167471 --num_dense_layers 1 --filter 89 --num_conv_layers 6,0,,c103,1205953,50_0,COMPLETED,BOTORCH_MODULAR,65.10999999999999943156581139192,54,0.00099975601269166746061511919,481,3675,0.360933114368221674705949908457,1,89,6
51,1761933179,1183,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934362,1761934973,611,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00099642103815176814 --batch_size 481 --hidden_size 3929 --dropout 0.35813272652570826704 --num_dense_layers 1 --filter 89 --num_conv_layers 6,0,,c80,1205956,51_0,COMPLETED,BOTORCH_MODULAR,64.620000000000004547473508864641,55,0.000996421038151768141688524594,481,3929,0.358132726525708267040215559973,1,89,6
52,1761933179,346,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933525,1761934157,632,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00099538800925641231 --batch_size 481 --hidden_size 4096 --dropout 0.36030623196415645371 --num_dense_layers 1 --filter 89 --num_conv_layers 6,0,,c118,1205942,52_0,COMPLETED,BOTORCH_MODULAR,65.14000000000000056843418860808,55,0.000995388009256412305270078633,481,4096,0.360306231964156453706493721256,1,89,6
53,1761933179,1003,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934182,1761934764,582,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 52 --learning_rate 0.00100000000000000002 --batch_size 582 --hidden_size 4028 --dropout 0.38362436548712086637 --num_dense_layers 1 --filter 90 --num_conv_layers 6,0,,c118,1205951,53_0,COMPLETED,BOTORCH_MODULAR,63.96999999999999886313162278384,52,0.001000000000000000020816681712,582,4028,0.383624365487120866369252780714,1,90,6
54,1761933179,1063,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934242,1761934862,620,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00098903859284675761 --batch_size 431 --hidden_size 3620 --dropout 0.34568710167078309237 --num_dense_layers 1 --filter 88 --num_conv_layers 6,0,,c26,1205952,54_0,COMPLETED,BOTORCH_MODULAR,62.560000000000002273736754432321,56,0.000989038592846757606130703167,431,3620,0.345687101670783092366434630094,1,88,6
55,1761933179,551,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933730,1761934334,604,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00100000000000000002 --batch_size 481 --hidden_size 3221 --dropout 0.35508857209706662372 --num_dense_layers 1 --filter 89 --num_conv_layers 6,0,,c80,1205944,55_0,COMPLETED,BOTORCH_MODULAR,64.96999999999999886313162278384,54,0.001000000000000000020816681712,481,3221,0.355088572097066623722838585309,1,89,6
56,1761933179,792,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761933971,1761934582,611,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00100000000000000002 --batch_size 503 --hidden_size 3274 --dropout 0.36347732612717420508 --num_dense_layers 1 --filter 89 --num_conv_layers 6,0,,c93,1205949,56_0,COMPLETED,BOTORCH_MODULAR,64.700000000000002842170943040401,54,0.001000000000000000020816681712,503,3274,0.363477326127174205083747438039,1,89,6
57,1761933184,1298,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934482,1761935071,589,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.00100000000000000002 --batch_size 551 --hidden_size 2534 --dropout 0.37934786612208554191 --num_dense_layers 1 --filter 90 --num_conv_layers 6,0,,c103,1205957,57_0,COMPLETED,BOTORCH_MODULAR,63.380000000000002557953848736361,53,0.001000000000000000020816681712,551,2534,0.379347866122085541906727712558,1,90,6
58,1761933184,1418,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934602,1761935208,606,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00099932038160204244 --batch_size 488 --hidden_size 4096 --dropout 0.35349784542638718055 --num_dense_layers 1 --filter 88 --num_conv_layers 6,0,,c93,1205959,58_0,COMPLETED,BOTORCH_MODULAR,64.510000000000005115907697472721,55,0.000999320381602042439109223615,488,4096,0.353497845426387180545191313286,1,88,6
59,1761933189,1293,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761934482,1761935113,631,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 57 --learning_rate 0.00098140992721509912 --batch_size 411 --hidden_size 3707 --dropout 0.33999862356540039299 --num_dense_layers 1 --filter 88 --num_conv_layers 6,0,,c99,1205958,59_0,COMPLETED,BOTORCH_MODULAR,64.930000000000006821210263296962,57,0.000981409927215099115241359051,411,3707,0.339998623565400392987356781305,1,88,6
60,1761935283,516,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935799,1761936522,723,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00100000000000000002 --batch_size 215 --hidden_size 3559 --dropout 0 --num_dense_layers 2 --filter 101 --num_conv_layers 7,0,,c143,1205996,60_0,COMPLETED,BOTORCH_MODULAR,59.700000000000002842170943040401,56,0.001000000000000000020816681712,215,3559,0,2,101,7
61,1761935283,696,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935979,1761936631,652,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 344 --hidden_size 3461 --dropout 0 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c4,1205998,61_0,COMPLETED,BOTORCH_MODULAR,59.810000000000002273736754432321,55,0.001000000000000000020816681712,344,3461,0,2,102,7
62,1761935283,13,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935296,1761935986,690,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 299 --hidden_size 3683 --dropout 0.05927686324804521539 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c125,1205989,62_0,COMPLETED,BOTORCH_MODULAR,61.009999999999998010480339871719,55,0.001000000000000000020816681712,299,3683,0.059276863248045215393222662215,2,102,7
63,1761935283,35,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935318,1761935971,653,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 298 --hidden_size 3128 --dropout 0 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c4,1205991,63_0,COMPLETED,BOTORCH_MODULAR,60.25,55,0.001000000000000000020816681712,298,3128,0,2,102,7
64,1761935283,935,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761936218,1761936896,678,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 264 --hidden_size 3460 --dropout 0 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c85,1206001,64_0,COMPLETED,BOTORCH_MODULAR,59.659999999999996589394868351519,55,0.001000000000000000020816681712,264,3460,0,2,102,7
65,1761935283,671,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935954,1761936656,702,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00100000000000000002 --batch_size 230 --hidden_size 3888 --dropout 0.03914148497506924479 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c96,1205997,65_0,COMPLETED,BOTORCH_MODULAR,60.630000000000002557953848736361,56,0.001000000000000000020816681712,230,3888,0.039141484975069244789391831318,2,102,7
66,1761935283,15,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935298,1761935949,651,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 382 --hidden_size 2861 --dropout 0 --num_dense_layers 2 --filter 103 --num_conv_layers 7,0,,c96,1205990,66_0,COMPLETED,BOTORCH_MODULAR,60.060000000000002273736754432321,55,0.001000000000000000020816681712,382,2861,0,2,103,7
67,1761935284,1213,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761936497,1761937181,684,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 288 --hidden_size 3753 --dropout 0.02820323437158103047 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c53,1206005,67_0,COMPLETED,BOTORCH_MODULAR,60.53000000000000113686837721616,55,0.001000000000000000020816681712,288,3753,0.028203234371581030470732542881,2,102,7
68,1761935284,1220,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761936504,1761937315,811,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00100000000000000002 --batch_size 123 --hidden_size 3607 --dropout 0 --num_dense_layers 2 --filter 101 --num_conv_layers 7,0,,c109,1206004,68_0,COMPLETED,BOTORCH_MODULAR,60.340000000000003410605131648481,56,0.001000000000000000020816681712,123,3607,0,2,101,7
69,1761935284,715,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935999,1761936836,837,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00100000000000000002 --batch_size 125 --hidden_size 3971 --dropout 0.02295273829045271427 --num_dense_layers 2 --filter 101 --num_conv_layers 7,0,,c125,1205999,69_0,COMPLETED,BOTORCH_MODULAR,61.67999999999999971578290569596,56,0.001000000000000000020816681712,125,3971,0.022952738290452714270406531227,2,101,7
70,1761935283,1196,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761936479,1761937137,658,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 348 --hidden_size 2976 --dropout 0.00424098971847308801 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c12,1206003,70_0,COMPLETED,BOTORCH_MODULAR,60.25,55,0.001000000000000000020816681712,348,2976,0.004240989718473088011807536901,2,102,7
71,1761935283,169,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935452,1761936754,1302,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00100000000000000002 --batch_size 213 --hidden_size 3926 --dropout 0 --num_dense_layers 1 --filter 98 --num_conv_layers 7,0,,c64,1205992,71_0,COMPLETED,BOTORCH_MODULAR,63.259999999999998010480339871719,106,0.001000000000000000020816681712,213,3926,0,1,98,7
72,1761935283,1020,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761936303,1761937166,863,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 233 --hidden_size 3161 --dropout 0 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c85,1206002,72_0,COMPLETED,BOTORCH_MODULAR,60.71000000000000085265128291212,55,0.001000000000000000020816681712,233,3161,0,2,102,7
73,1761935283,895,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761936178,1761936957,779,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00100000000000000002 --batch_size 141 --hidden_size 4050 --dropout 0 --num_dense_layers 2 --filter 101 --num_conv_layers 7,0,,c95,1206000,73_0,COMPLETED,BOTORCH_MODULAR,60.439999999999997726263245567679,56,0.001000000000000000020816681712,141,4050,0,2,101,7
74,1761935283,188,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935471,1761936173,702,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00100000000000000002 --batch_size 237 --hidden_size 4096 --dropout 0.04007714993669656001 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c95,1205993,74_0,COMPLETED,BOTORCH_MODULAR,61.189999999999997726263245567679,56,0.001000000000000000020816681712,237,4096,0.040077149936696560006410550159,2,102,7
75,1761935284,188,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935472,1761936296,824,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00100000000000000002 --batch_size 238 --hidden_size 3952 --dropout 0.01386388286892333357 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c85,1205994,75_0,COMPLETED,BOTORCH_MODULAR,60.6000000000000014210854715202,56,0.001000000000000000020816681712,238,3952,0.013863882868923333574473488738,2,102,7
76,1761935284,207,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761935491,1761936194,703,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00100000000000000002 --batch_size 222 --hidden_size 3382 --dropout 0.00147131930768923955 --num_dense_layers 2 --filter 101 --num_conv_layers 7,0,,c85,1205995,76_0,COMPLETED,BOTORCH_MODULAR,60.57000000000000028421709430404,56,0.001000000000000000020816681712,222,3382,0.001471319307689239550690496472,2,101,7
77,1761935293,1205,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761936498,1761937720,1222,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00100000000000000002 --batch_size 65 --hidden_size 3878 --dropout 0 --num_dense_layers 2 --filter 101 --num_conv_layers 7,0,,c46,1206006,77_0,COMPLETED,BOTORCH_MODULAR,61.689999999999997726263245567679,56,0.001000000000000000020816681712,65,3878,0,2,101,7
78,1761935294,1198,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761936492,1761937171,679,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 285 --hidden_size 3407 --dropout 0.03122168892256207973 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c24,1206007,78_0,COMPLETED,BOTORCH_MODULAR,60.130000000000002557953848736361,55,0.001000000000000000020816681712,285,3407,0.03122168892256207972657477967,2,102,7
79,1761935304,1194,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761936498,1761937202,704,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 218 --hidden_size 3537 --dropout 0.0521631578301988974 --num_dense_layers 2 --filter 102 --num_conv_layers 7,0,,c5,1206008,79_0,COMPLETED,BOTORCH_MODULAR,61.759999999999998010480339871719,55,0.001000000000000000020816681712,218,3537,0.052163157830198897402240731935,2,102,7
80,1761937812,31,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937843,1761939456,1613,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00098422588337374029 --batch_size 64 --hidden_size 3350 --dropout 0.40973022026534650086 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c122,1206074,80_0,COMPLETED,BOTORCH_MODULAR,70.310000000000002273736754432321,103,0.000984225883373740289758457855,64,3350,0.409730220265346500863046230734,1,102,5
81,1761937811,17,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937828,1761939481,1653,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.0009657496605289537 --batch_size 64 --hidden_size 4096 --dropout 0.40982943686786765802 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c54,1206071,81_0,COMPLETED,BOTORCH_MODULAR,70.150000000000005684341886080801,103,0.000965749660528953703109156237,64,4096,0.409829436867867658023101284925,1,102,5
82,1761937811,33,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937844,1761939474,1630,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00097915145964362128 --batch_size 64 --hidden_size 4096 --dropout 0.40579174401850415244 --num_dense_layers 1 --filter 101 --num_conv_layers 5,0,,c154,1206072,82_0,COMPLETED,BOTORCH_MODULAR,70.39000000000000056843418860808,103,0.000979151459643621277853520191,64,4096,0.405791744018504152435866672022,1,101,5
83,1761937811,102,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937913,1761939520,1607,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00097836958253051383 --batch_size 64 --hidden_size 3823 --dropout 0.40443974973210972124 --num_dense_layers 1 --filter 101 --num_conv_layers 5,0,,c37,1206085,83_0,COMPLETED,BOTORCH_MODULAR,70.39000000000000056843418860808,102,0.000978369582530513827098306301,64,3823,0.404439749732109721236383848009,1,101,5
84,1761937811,17,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937828,1761939442,1614,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00097422953437256168 --batch_size 64 --hidden_size 4096 --dropout 0.40808889164742806477 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c74,1206070,84_0,COMPLETED,BOTORCH_MODULAR,70.409999999999996589394868351519,103,0.000974229534372561675401036574,64,4096,0.408088891647428064768376998472,1,102,5
85,1761937812,91,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937903,1761938728,825,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.00068060617941929035 --batch_size 64 --hidden_size 4096 --dropout 0.44763567598744913312 --num_dense_layers 1 --filter 106 --num_conv_layers 6,0,,c104,1206082,85_0,COMPLETED,BOTORCH_MODULAR,68.46999999999999886313162278384,53,0.000680606179419290346736814978,64,4096,0.447635675987449133117479505017,1,106,6
86,1761937812,37,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937849,1761939484,1635,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.0009873162416692853 --batch_size 64 --hidden_size 2862 --dropout 0.41008664212983020336 --num_dense_layers 1 --filter 101 --num_conv_layers 5,0,,c153,1206073,86_0,COMPLETED,BOTORCH_MODULAR,70.379999999999995452526491135359,105,0.000987316241669285296275737629,64,2862,0.410086642129830203362672591538,1,101,5
87,1761937812,111,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937923,1761939524,1601,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00096485328125320052 --batch_size 64 --hidden_size 4096 --dropout 0.40839150423409847912 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c12,1206086,87_0,COMPLETED,BOTORCH_MODULAR,69.980000000000003979039320256561,103,0.000964853281253200524905655477,64,4096,0.408391504234098479120262936704,1,102,5
88,1761937812,97,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937909,1761939525,1616,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00098750940583286202 --batch_size 64 --hidden_size 3378 --dropout 0.40603639619998488364 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c112,1206081,88_0,COMPLETED,BOTORCH_MODULAR,69.790000000000006252776074688882,103,0.000987509405832862020499507416,64,3378,0.406036396199984883637057464512,1,102,5
89,1761937812,41,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937853,1761939472,1619,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00099911197376684863 --batch_size 64 --hidden_size 4077 --dropout 0.41141357058658145629 --num_dense_layers 1 --filter 101 --num_conv_layers 5,0,,c118,1206077,89_0,COMPLETED,BOTORCH_MODULAR,70.159999999999996589394868351519,103,0.000999111973766848631903214617,64,4077,0.411413570586581456289820835082,1,101,5
90,1761937812,167,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937979,1761939456,1477,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00098504647139274065 --batch_size 93 --hidden_size 3086 --dropout 0.4126499154439836059 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c59,1206088,90_0,COMPLETED,BOTORCH_MODULAR,69.680000000000006821210263296962,103,0.000985046471392740652373021248,93,3086,0.412649915443983605900513111919,1,102,5
91,1761937812,31,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937843,1761939612,1769,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00096745718919459111 --batch_size 64 --hidden_size 4096 --dropout 0.40720600446675492279 --num_dense_layers 1 --filter 101 --num_conv_layers 5,0,,c54,1206075,91_0,COMPLETED,BOTORCH_MODULAR,70.03000000000000113686837721616,103,0.000967457189194591109238086091,64,4096,0.407206004466754922788140902412,1,101,5
92,1761937812,117,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937929,1761939567,1638,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00098757252430094894 --batch_size 64 --hidden_size 4037 --dropout 0.40832297548942186882 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c7,1206087,92_0,COMPLETED,BOTORCH_MODULAR,69.60999999999999943156581139192,103,0.000987572524300948939579569696,64,4037,0.408322975489421868822148553591,1,102,5
93,1761937812,71,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937883,1761939463,1580,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00097633856895027924 --batch_size 64 --hidden_size 2740 --dropout 0.40751663890528627698 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c122,1206080,93_0,COMPLETED,BOTORCH_MODULAR,69.510000000000005115907697472721,103,0.000976338568950279239375134033,64,2740,0.407516638905286276983730431311,1,102,5
94,1761937812,51,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937863,1761938684,821,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.00067948516982429175 --batch_size 64 --hidden_size 3546 --dropout 0.44683151973483725694 --num_dense_layers 1 --filter 106 --num_conv_layers 6,0,,c79,1206079,94_0,COMPLETED,BOTORCH_MODULAR,68.21999999999999886313162278384,53,0.000679485169824291745065136805,64,3546,0.446831519734837256940807037608,1,106,6
95,1761937812,97,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937909,1761939565,1656,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00099645381636216473 --batch_size 64 --hidden_size 4096 --dropout 0.41204181602124445583 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c22,1206084,95_0,COMPLETED,BOTORCH_MODULAR,69.950000000000002842170943040401,103,0.000996453816362164726191941178,64,4096,0.412041816021244455825467412069,1,102,5
96,1761937813,46,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937859,1761939419,1560,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00100000000000000002 --batch_size 76 --hidden_size 3628 --dropout 0.41101424211014858656 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c76,1206078,96_0,COMPLETED,BOTORCH_MODULAR,69.450000000000002842170943040401,103,0.001000000000000000020816681712,76,3628,0.411014242110148586561990668997,1,102,5
97,1761937813,96,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761937909,1761939527,1618,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00099649293455252052 --batch_size 64 --hidden_size 4096 --dropout 0.40755991633189836421 --num_dense_layers 1 --filter 101 --num_conv_layers 5,0,,c40,1206083,97_0,COMPLETED,BOTORCH_MODULAR,70.269999999999996020960679743439,103,0.000996492934552520520999352449,64,4096,0.407559916331898364205699181184,1,101,5
98,1761937818,185,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761938003,1761939619,1616,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00098137161310534815 --batch_size 64 --hidden_size 3786 --dropout 0.40752485600278742783 --num_dense_layers 1 --filter 101 --num_conv_layers 5,0,,c4,1206089,98_0,COMPLETED,BOTORCH_MODULAR,69.879999999999995452526491135359,103,0.000981371613105348154088014567,64,3786,0.407524856002787427833311539871,1,101,5
99,1761937823,200,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761938023,1761939632,1609,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00097825178684411858 --batch_size 64 --hidden_size 3837 --dropout 0.40673624371569355729 --num_dense_layers 1 --filter 101 --num_conv_layers 5,0,,c30,1206090,99_0,COMPLETED,BOTORCH_MODULAR,70.299999999999997157829056959599,102,0.00097825178684411858397174111,64,3837,0.406736243715693557287949033707,1,101,5
100,1761939730,75,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939805,1761941481,1676,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.39702249801984929034 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c109,1206319,100_0,COMPLETED,BOTORCH_MODULAR,69.64000000000000056843418860808,108,0.001000000000000000020816681712,64,4096,0.397022498019849290340488323636,1,83,5
101,1761939730,45,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939775,1761941448,1673,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.3956275890974870757 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c122,1206313,101_0,COMPLETED,BOTORCH_MODULAR,69.049999999999997157829056959599,108,0.001000000000000000020816681712,64,4096,0.395627589097487075697756608861,1,83,5
102,1761939729,16,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939745,1761941394,1649,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.39981284360893504237 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c46,1206305,102_0,COMPLETED,BOTORCH_MODULAR,68.769999999999996020960679743439,108,0.001000000000000000020816681712,64,4096,0.399812843608935042372110046927,1,83,5
103,1761939729,16,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939745,1761941370,1625,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2276 --dropout 0.39614217551281977192 --num_dense_layers 1 --filter 82 --num_conv_layers 5,0,,c93,1206304,103_0,COMPLETED,BOTORCH_MODULAR,68.560000000000002273736754432321,109,0.001000000000000000020816681712,64,2276,0.396142175512819771920902667262,1,82,5
104,1761939729,40,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939769,1761941427,1658,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.40428824229694471093 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c118,1206310,104_0,COMPLETED,BOTORCH_MODULAR,69.700000000000002842170943040401,108,0.001000000000000000020816681712,64,4096,0.404288242296944710929551547451,1,83,5
105,1761939729,21,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939750,1761941332,1582,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00100000000000000002 --batch_size 73 --hidden_size 3094 --dropout 0.40058791388000192235 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c113,1206307,105_0,COMPLETED,BOTORCH_MODULAR,68.78000000000000113686837721616,109,0.001000000000000000020816681712,73,3094,0.400587913880001922350970744446,1,83,5
106,1761939729,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939751,1761941416,1665,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4078 --dropout 0.39966017137985870855 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c43,1206306,106_0,COMPLETED,BOTORCH_MODULAR,69.260000000000005115907697472721,108,0.001000000000000000020816681712,64,4078,0.399660171379858708551324752989,1,83,5
107,1761939729,41,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939770,1761941453,1683,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3695 --dropout 0.38578487531388844234 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c151,1206308,107_0,COMPLETED,BOTORCH_MODULAR,69.180000000000006821210263296962,108,0.001000000000000000020816681712,64,3695,0.385784875313888442338594586545,1,83,5
108,1761939730,81,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939811,1761941470,1659,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3327 --dropout 0.3938733628499763717 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c98,1206320,108_0,COMPLETED,BOTORCH_MODULAR,69.209999999999993747223925311118,108,0.001000000000000000020816681712,64,3327,0.393873362849976371702354072113,1,83,5
109,1761939730,39,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939769,1761941571,1802,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.38563851419307654256 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c54,1206311,109_0,COMPLETED,BOTORCH_MODULAR,69.069999999999993178789736703038,108,0.001000000000000000020816681712,64,4096,0.385638514193076542557747643514,1,83,5
110,1761939730,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939794,1761941462,1668,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3574 --dropout 0.40549546390036295129 --num_dense_layers 1 --filter 82 --num_conv_layers 5,0,,c39,1206316,110_0,COMPLETED,BOTORCH_MODULAR,69.129999999999995452526491135359,109,0.001000000000000000020816681712,64,3574,0.405495463900362951292777324852,1,82,5
111,1761939730,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939794,1761941468,1674,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.39617066431827496764 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c123,1206315,111_0,COMPLETED,BOTORCH_MODULAR,68.629999999999995452526491135359,108,0.001000000000000000020816681712,64,4096,0.396170664318274967641286821163,1,83,5
112,1761939730,45,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939775,1761941459,1684,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.40287137749272278198 --num_dense_layers 1 --filter 82 --num_conv_layers 5,0,,c50,1206312,112_0,COMPLETED,BOTORCH_MODULAR,68.85999999999999943156581139192,108,0.001000000000000000020816681712,64,4096,0.402871377492722781976652868252,1,82,5
113,1761939730,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939806,1761941462,1656,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3739 --dropout 0.39887163825477001122 --num_dense_layers 1 --filter 82 --num_conv_layers 5,0,,c149,1206318,113_0,COMPLETED,BOTORCH_MODULAR,68.700000000000002842170943040401,108,0.001000000000000000020816681712,64,3739,0.398871638254770011222660741623,1,82,5
114,1761939730,51,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939781,1761941400,1619,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00098089034440019141 --batch_size 85 --hidden_size 2967 --dropout 0.38927124444012967119 --num_dense_layers 2 --filter 83 --num_conv_layers 5,0,,c48,1206314,114_0,COMPLETED,BOTORCH_MODULAR,67.32999999999999829469743417576,109,0.000980890344400191412088663157,85,2967,0.389271244440129671193773219784,2,83,5
115,1761939730,59,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939789,1761941452,1663,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.39344230570897631427 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c24,1206317,115_0,COMPLETED,BOTORCH_MODULAR,68.709999999999993747223925311118,108,0.001000000000000000020816681712,64,4096,0.393442305708976314271296814695,1,83,5
116,1761939736,73,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939809,1761941484,1675,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.3940664364902555783 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c143,1206321,116_0,COMPLETED,BOTORCH_MODULAR,68.909999999999996589394868351519,108,0.001000000000000000020816681712,64,4096,0.394066436490255578295460736626,1,83,5
117,1761939741,89,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939830,1761941517,1687,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.40358334566192249904 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c139,1206322,117_0,COMPLETED,BOTORCH_MODULAR,69.370000000000004547473508864641,109,0.001000000000000000020816681712,64,4096,0.403583345661922499036933231764,1,83,5
118,1761939741,94,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939835,1761941503,1668,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.39541686073903081766 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c70,1206323,118_0,COMPLETED,BOTORCH_MODULAR,68.450000000000002842170943040401,108,0.001000000000000000020816681712,64,4096,0.395416860739030817661898709048,1,83,5
119,1761939746,103,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761939849,1761941534,1685,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.40503477862227138528 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c122,1206324,119_0,COMPLETED,BOTORCH_MODULAR,69.090000000000003410605131648481,109,0.001000000000000000020816681712,64,4096,0.405034778622271385284392408721,1,83,5
120,1761941680,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941723,1761943364,1641,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00029595622761389626 --batch_size 64 --hidden_size 3507 --dropout 0.39230227329937378267 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c141,1206514,120_0,COMPLETED,BOTORCH_MODULAR,67.560000000000002273736754432321,106,0.000295956227613896260750236955,64,3507,0.392302273299373782666776833139,1,95,5
121,1761941679,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941723,1761943365,1642,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00031068994733305191 --batch_size 64 --hidden_size 3654 --dropout 0.39718297869067908934 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c143,1206513,121_0,COMPLETED,BOTORCH_MODULAR,67.590000000000003410605131648481,106,0.000310689947333051908265333374,64,3654,0.397182978690679089339710117201,1,95,5
122,1761941679,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941684,1761943378,1694,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00034612958371795096 --batch_size 64 --hidden_size 4096 --dropout 0.40143149584865767121 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c154,1206508,122_0,COMPLETED,BOTORCH_MODULAR,68.519999999999996020960679743439,106,0.000346129583717950961053999581,64,4096,0.401431495848657671210446551413,1,95,5
123,1761941680,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941743,1761943389,1646,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00040162549834334789 --batch_size 64 --hidden_size 4096 --dropout 0.40285536280426709199 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c122,1206520,123_0,COMPLETED,BOTORCH_MODULAR,68.879999999999995452526491135359,105,0.000401625498343347888362264708,64,4096,0.402855362804267091991761162717,1,95,5
124,1761941679,21,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941700,1761943389,1689,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00035623224625608849 --batch_size 64 --hidden_size 4096 --dropout 0.4024495156792027295 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c152,1206509,124_0,COMPLETED,BOTORCH_MODULAR,68.650000000000005684341886080801,106,0.00035623224625608849221863883,64,4096,0.402449515679202729501184876426,1,95,5
125,1761941680,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941728,1761943255,1527,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00029837822390577128 --batch_size 88 --hidden_size 3587 --dropout 0.40528843916884266241 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c140,1206516,125_0,COMPLETED,BOTORCH_MODULAR,67.159999999999996589394868351519,106,0.000298378223905771278873233499,88,3587,0.405288439168842662407854504636,1,95,5
126,1761941680,80,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941760,1761943417,1657,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00031246498900617403 --batch_size 64 --hidden_size 4096 --dropout 0.39376258358906002233 --num_dense_layers 1 --filter 94 --num_conv_layers 5,0,,c122,1206522,126_0,COMPLETED,BOTORCH_MODULAR,67.769999999999996020960679743439,107,0.000312464989006174030748003156,64,4096,0.393762583589060022326577836793,1,94,5
127,1761941680,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941743,1761943365,1622,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00026570920999097804 --batch_size 64 --hidden_size 1663 --dropout 0.39972879031469654709 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c122,1206521,127_0,COMPLETED,BOTORCH_MODULAR,65.799999999999997157829056959599,108,0.000265709209990978043134518538,64,1663,0.399728790314696547092410128244,1,95,5
128,1761941680,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941723,1761943364,1641,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00036782251263759043 --batch_size 64 --hidden_size 4096 --dropout 0.40220655140014127671 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c141,1206515,128_0,COMPLETED,BOTORCH_MODULAR,67.930000000000006821210263296962,106,0.000367822512637590434345091772,64,4096,0.402206551400141276708666282502,1,95,5
129,1761941680,20,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941700,1761943346,1646,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00037048613657205028 --batch_size 64 --hidden_size 4096 --dropout 0.40524895725716320039 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c151,1206510,129_0,COMPLETED,BOTORCH_MODULAR,68.069999999999993178789736703038,105,0.000370486136572050275828082988,64,4096,0.405248957257163200385008394733,1,95,5
130,1761941680,80,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941760,1761943008,1248,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.0001 --batch_size 300 --hidden_size 2837 --dropout 0.39605916054263551329 --num_dense_layers 1 --filter 96 --num_conv_layers 5,0,,c120,1206523,130_0,COMPLETED,BOTORCH_MODULAR,58.189999999999997726263245567679,109,0.000100000000000000004792173602,300,2837,0.396059160542635513291287452375,1,96,5
131,1761941680,81,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941761,1761943350,1589,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.0003091304244310789 --batch_size 71 --hidden_size 2990 --dropout 0.39838899559414031604 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c120,1206524,131_0,COMPLETED,BOTORCH_MODULAR,67.189999999999997726263245567679,106,0.000309130424431078895241425952,71,2990,0.398388995594140316036657623044,1,95,5
132,1761941680,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941743,1761943398,1655,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00038024118699461968 --batch_size 64 --hidden_size 4096 --dropout 0.40435606471881507806 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c123,1206519,132_0,COMPLETED,BOTORCH_MODULAR,68.28000000000000113686837721616,106,0.000380241186994619679261064871,64,4096,0.404356064718815078062874590614,1,95,5
133,1761941680,21,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941701,1761943539,1838,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00038335206117934485 --batch_size 64 --hidden_size 4096 --dropout 0.41013726346037499004 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c148,1206511,133_0,COMPLETED,BOTORCH_MODULAR,68.840000000000003410605131648481,105,0.000383352061179344845865540892,64,4096,0.410137263460374990042822673786,1,95,5
134,1761941680,35,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941715,1761943500,1785,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00029470791361386881 --batch_size 64 --hidden_size 4096 --dropout 0.39264600151837242281 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c147,1206512,134_0,COMPLETED,BOTORCH_MODULAR,67.709999999999993747223925311118,106,0.000294707913613868812286594734,64,4096,0.392646001518372422811609112614,1,95,5
135,1761941680,50,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941730,1761943502,1772,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00031119163727262231 --batch_size 74 --hidden_size 3736 --dropout 0.39096855415998893468 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c127,1206518,135_0,COMPLETED,BOTORCH_MODULAR,67.14000000000000056843418860808,106,0.000311191637272622309388914186,74,3736,0.390968554159988934681990713216,1,95,5
136,1761941681,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941723,1761943373,1650,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00036984450741425832 --batch_size 64 --hidden_size 4096 --dropout 0.39973592974285682144 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c139,1206517,136_0,COMPLETED,BOTORCH_MODULAR,68.019999999999996020960679743439,106,0.000369844507414258320647515443,64,4096,0.399735929742856821444974002588,1,95,5
137,1761941686,78,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941764,1761943414,1650,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00039176304478154641 --batch_size 64 --hidden_size 4096 --dropout 0.40737052543179613773 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c120,1206525,137_0,COMPLETED,BOTORCH_MODULAR,68.230000000000003979039320256561,106,0.00039176304478154641433920724,64,4096,0.407370525431796137727502582493,1,95,5
138,1761941691,93,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941784,1761943229,1445,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00025369750848497943 --batch_size 105 --hidden_size 2654 --dropout 0.4104254841351083205 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c119,1206526,138_0,COMPLETED,BOTORCH_MODULAR,65.39000000000000056843418860808,107,0.000253697508484979430704725489,105,2654,0.410425484135108320504770063053,1,95,5
139,1761941697,86,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761941783,1761943427,1644,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00035796823261222859 --batch_size 64 --hidden_size 4096 --dropout 0.40170546108180765765 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c118,1206527,139_0,COMPLETED,BOTORCH_MODULAR,67.790000000000006252776074688882,106,0.000357968232612228590659719796,64,4096,0.401705461081807657652831267114,1,95,5
140,1761943663,6,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943669,1761944419,750,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00081787036597360445 --batch_size 231 --hidden_size 3873 --dropout 0.49126288836016085426 --num_dense_layers 1 --filter 114 --num_conv_layers 5,0,,c148,1206572,140_0,COMPLETED,BOTORCH_MODULAR,67.599999999999994315658113919199,56,0.00081787036597360444987320216,231,3873,0.491262888360160854261948770727,1,114,5
141,1761943664,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943668,1761944395,727,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00082230581687350933 --batch_size 228 --hidden_size 4096 --dropout 0.49123966322927553607 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c147,1206573,141_0,COMPLETED,BOTORCH_MODULAR,67.629999999999995452526491135359,56,0.000822305816873509327555313853,228,4096,0.491239663229275536071583019293,1,113,5
142,1761943663,17,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943680,1761944997,1317,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 84 --learning_rate 0.00074614569994510137 --batch_size 64 --hidden_size 3973 --dropout 0.42822226671844881851 --num_dense_layers 1 --filter 99 --num_conv_layers 5,0,,c141,1206575,142_0,COMPLETED,BOTORCH_MODULAR,69.810000000000002273736754432321,84,0.000746145699945101369479627529,64,3973,0.428222266718448818512143816406,1,99,5
143,1761943664,16,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943680,1761944377,697,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00080348850420614091 --batch_size 232 --hidden_size 4096 --dropout 0.49756554193526281171 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c139,1206578,143_0,COMPLETED,BOTORCH_MODULAR,67.379999999999995452526491135359,56,0.000803488504206140911716171882,232,4096,0.497565541935262811712448183243,1,113,5
144,1761943664,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943668,1761944276,608,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 49 --learning_rate 0.00081104031306313245 --batch_size 216 --hidden_size 3946 --dropout 0.49618905432652998799 --num_dense_layers 1 --filter 116 --num_conv_layers 5,0,,c143,1206574,144_0,COMPLETED,BOTORCH_MODULAR,67.379999999999995452526491135359,49,0.00081104031306313245208022833,216,3946,0.496189054326529987992699943788,1,116,5
145,1761943665,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943688,1761944481,793,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 61 --learning_rate 0.0008747666582505113 --batch_size 169 --hidden_size 2984 --dropout 0.47045653423688349459 --num_dense_layers 1 --filter 115 --num_conv_layers 5,0,,c122,1206582,145_0,COMPLETED,BOTORCH_MODULAR,68.370000000000004547473508864641,61,0.000874766658250511301708751688,169,2984,0.470456534236883494592973420367,1,115,5
146,1761943665,15,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943680,1761944355,675,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00080751343824794113 --batch_size 232 --hidden_size 4049 --dropout 0.49088960793946351258 --num_dense_layers 1 --filter 114 --num_conv_layers 5,0,,c140,1206577,146_0,COMPLETED,BOTORCH_MODULAR,67.689999999999997726263245567679,54,0.000807513438247941129494167356,232,4049,0.490889607939463512575883896716,1,114,5
147,1761943664,16,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943680,1761944985,1305,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00075980747232837784 --batch_size 68 --hidden_size 3811 --dropout 0.44968696851345202337 --num_dense_layers 1 --filter 96 --num_conv_layers 5,0,,c141,1206576,147_0,COMPLETED,BOTORCH_MODULAR,69.689999999999997726263245567679,87,0.000759807472328377837313129195,68,3811,0.44968696851345202336602824289,1,96,5
148,1761943666,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943708,1761944394,686,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00083237328006097579 --batch_size 235 --hidden_size 3039 --dropout 0.49687748100288542386 --num_dense_layers 1 --filter 114 --num_conv_layers 5,0,,c118,1206588,148_0,COMPLETED,BOTORCH_MODULAR,67.480000000000003979039320256561,56,0.000832373280060975787898736034,235,3039,0.496877481002885423855275348615,1,114,5
149,1761943664,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943708,1761944475,767,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 60 --learning_rate 0.00080935314886901831 --batch_size 186 --hidden_size 4089 --dropout 0.47240305918042191369 --num_dense_layers 1 --filter 111 --num_conv_layers 5,0,,c120,1206586,149_0,COMPLETED,BOTORCH_MODULAR,68.189999999999997726263245567679,60,0.000809353148869018310107570358,186,4089,0.472403059180421913687553114869,1,111,5
150,1761943664,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943689,1761944850,1161,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 80 --learning_rate 0.00074082575367615 --batch_size 80 --hidden_size 3786 --dropout 0.44266278658240665322 --num_dense_layers 1 --filter 100 --num_conv_layers 5,0,,c123,1206580,150_0,COMPLETED,BOTORCH_MODULAR,69.049999999999997157829056959599,80,0.000740825753676149995410882276,80,3786,0.442662786582406653224097681232,1,100,5
151,1761943665,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943708,1761944386,678,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00082472629444396424 --batch_size 235 --hidden_size 3683 --dropout 0.48966263928900272129 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c122,1206583,151_0,COMPLETED,BOTORCH_MODULAR,68.060000000000002273736754432321,56,0.00082472629444396423729901624,235,3683,0.489662639289002721287857866628,1,113,5
152,1761943665,15,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943680,1761944927,1247,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 78 --learning_rate 0.00074633470983087309 --batch_size 75 --hidden_size 2668 --dropout 0.45134779417468190443 --num_dense_layers 1 --filter 100 --num_conv_layers 5,0,,c127,1206579,152_0,COMPLETED,BOTORCH_MODULAR,70,78,0.000746334709830873089739244897,75,2668,0.45134779417468190443329945083,1,100,5
153,1761943665,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943689,1761944407,718,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 57 --learning_rate 0.00080485366453508745 --batch_size 227 --hidden_size 4096 --dropout 0.48974472033296445606 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c122,1206581,153_0,COMPLETED,BOTORCH_MODULAR,68.010000000000005115907697472721,57,0.000804853664535087453407724567,227,4096,0.489744720332964456055435675808,1,113,5
154,1761943664,45,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943709,1761945015,1306,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00073688179831665052 --batch_size 64 --hidden_size 4096 --dropout 0.43502569847300154304 --num_dense_layers 1 --filter 99 --num_conv_layers 5,0,,c120,1206585,154_0,COMPLETED,BOTORCH_MODULAR,69.78000000000000113686837721616,83,0.000736881798316650518491932598,64,4096,0.435025698473001543042926186899,1,99,5
155,1761943664,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943708,1761944480,772,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 61 --learning_rate 0.00083638430423170962 --batch_size 193 --hidden_size 3642 --dropout 0.4716748980685225856 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c120,1206584,155_0,COMPLETED,BOTORCH_MODULAR,68.790000000000006252776074688882,61,0.000836384304231709615334855457,193,3642,0.471674898068522585603545849153,1,113,5
156,1761943666,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943728,1761944425,697,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00082032941669936367 --batch_size 229 --hidden_size 3378 --dropout 0.48425159563545339125 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c123,1206590,156_0,COMPLETED,BOTORCH_MODULAR,67.57999999999999829469743417576,56,0.000820329416699363666437561093,229,3378,0.484251595635453391253122390481,1,113,5
157,1761943666,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943729,1761944419,690,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.0008153447121638488 --batch_size 233 --hidden_size 3907 --dropout 0.49604782409032266433 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c113,1206591,157_0,COMPLETED,BOTORCH_MODULAR,67.599999999999994315658113919199,56,0.000815344712163848799220400299,233,3907,0.496047824090322664325469759206,1,113,5
158,1761943666,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943708,1761944426,718,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 57 --learning_rate 0.00080950885168361753 --batch_size 225 --hidden_size 4096 --dropout 0.49250899538201303729 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c119,1206587,158_0,COMPLETED,BOTORCH_MODULAR,68.260000000000005115907697472721,57,0.000809508851683617526931446839,225,4096,0.492508995382013037289681278708,1,113,5
159,1761943670,58,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761943728,1761944419,691,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00082684123655746462 --batch_size 233 --hidden_size 3351 --dropout 0.49447094645611361363 --num_dense_layers 1 --filter 114 --num_conv_layers 5,0,,c113,1206592,159_0,COMPLETED,BOTORCH_MODULAR,67.560000000000002273736754432321,56,0.000826841236557464623335711451,233,3351,0.49447094645611361363179980799,1,114,5
160,1761945144,49,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945193,1761946247,1054,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00078054663250693877 --batch_size 99 --hidden_size 2603 --dropout 0.46770794278757032991 --num_dense_layers 2 --filter 112 --num_conv_layers 5,0,,c123,1206618,160_0,COMPLETED,BOTORCH_MODULAR,68.290000000000006252776074688882,75,0.000780546632506938769385795851,99,2603,0.467707942787570329912227862224,2,112,5
161,1761945147,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945210,1761946043,833,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 58 --learning_rate 0.00061916319963363877 --batch_size 106 --hidden_size 2795 --dropout 0.49344119523423679574 --num_dense_layers 2 --filter 117 --num_conv_layers 6,0,,c123,1206619,161_0,COMPLETED,BOTORCH_MODULAR,67.950000000000002842170943040401,58,0.000619163199633638769957266756,106,2795,0.493441195234236795741367131996,2,117,6
162,1761945144,67,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945211,1761946394,1183,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00071317814761973552 --batch_size 65 --hidden_size 3684 --dropout 0.4489926653695240355 --num_dense_layers 2 --filter 111 --num_conv_layers 5,0,,c122,1206621,162_0,COMPLETED,BOTORCH_MODULAR,68.879999999999995452526491135359,70,0.000713178147619735521706152426,65,3684,0.448992665369524035501314074281,2,111,5
163,1761945144,7,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945151,1761947108,1957,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00089134959396495821 --batch_size 64 --hidden_size 4096 --dropout 0.40084549495352139736 --num_dense_layers 1 --filter 94 --num_conv_layers 5,0,,c155,1206605,163_0,COMPLETED,BOTORCH_MODULAR,69.810000000000002273736754432321,120,0.00089134959396495821136452431,64,4096,0.400845494953521397363260803104,1,94,5
164,1761945144,29,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945173,1761946172,999,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00078909953160229552 --batch_size 84 --hidden_size 615 --dropout 0.45548183725753199624 --num_dense_layers 2 --filter 111 --num_conv_layers 5,0,,c130,1206612,164_0,COMPLETED,BOTORCH_MODULAR,67.069999999999993178789736703038,70,0.000789099531602295524088108714,84,615,0.455481837257531996243642424815,2,111,5
165,1761945145,30,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945175,1761946444,1269,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00071281118541878605 --batch_size 64 --hidden_size 3930 --dropout 0.45341074692440425098 --num_dense_layers 2 --filter 110 --num_conv_layers 5,0,,c126,1206614,165_0,COMPLETED,BOTORCH_MODULAR,69.760000000000005115907697472721,74,0.000712811185418786054379669537,64,3930,0.453410746924404250979279140665,2,110,5
166,1761945145,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945173,1761946262,1089,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00075435411742110414 --batch_size 82 --hidden_size 2825 --dropout 0.46489508118795785929 --num_dense_layers 2 --filter 114 --num_conv_layers 5,0,,c139,1206611,166_0,COMPLETED,BOTORCH_MODULAR,69.14000000000000056843418860808,72,0.000754354117421104138768717107,82,2825,0.464895081187957859292225748504,2,114,5
167,1761945144,7,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945151,1761946418,1267,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 78 --learning_rate 0.0008084860732630783 --batch_size 64 --hidden_size 885 --dropout 0.45706170646455457351 --num_dense_layers 2 --filter 110 --num_conv_layers 5,0,,c153,1206606,167_0,COMPLETED,BOTORCH_MODULAR,67.340000000000003410605131648481,78,0.000808486073263078299996897691,64,885,0.457061706464554573514647017873,2,110,5
168,1761945144,36,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945180,1761946528,1348,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00077265038173509443 --batch_size 64 --hidden_size 3102 --dropout 0.44592622741702758749 --num_dense_layers 2 --filter 111 --num_conv_layers 5,0,,c125,1206615,168_0,COMPLETED,BOTORCH_MODULAR,69.28000000000000113686837721616,77,0.000772650381735094432186783386,64,3102,0.445926227417027587485165440739,2,111,5
169,1761945144,9,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945153,1761946199,1046,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00073928561695694843 --batch_size 64 --hidden_size 1052 --dropout 0.45765821498260983446 --num_dense_layers 2 --filter 111 --num_conv_layers 5,0,,c141,1206608,169_0,COMPLETED,BOTORCH_MODULAR,68.939999999999997726263245567679,69,0.000739285616956948427209994623,64,1052,0.457658214982609834464710729662,2,111,5
170,1761945144,29,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945173,1761946142,969,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00071202802720624601 --batch_size 116 --hidden_size 2896 --dropout 0.4778030173843837991 --num_dense_layers 2 --filter 112 --num_conv_layers 5,0,,c127,1206613,170_0,COMPLETED,BOTORCH_MODULAR,67.709999999999993747223925311118,64,0.000712028027206246011578116839,116,2896,0.477803017384383799104341505881,2,112,5
171,1761945144,6,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945150,1761946244,1094,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00100000000000000002 --batch_size 781 --hidden_size 3765 --dropout 0.20391376589558124488 --num_dense_layers 1 --filter 118 --num_conv_layers 7,0,,c143,1206607,171_0,COMPLETED,BOTORCH_MODULAR,63.82999999999999829469743417576,98,0.001000000000000000020816681712,781,3765,0.203913765895581244880219173865,1,118,7
172,1761945144,9,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945153,1761946193,1040,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 68 --learning_rate 0.00073641751845482731 --batch_size 64 --hidden_size 970 --dropout 0.45280804042043093505 --num_dense_layers 2 --filter 111 --num_conv_layers 5,0,,c141,1206609,172_0,COMPLETED,BOTORCH_MODULAR,68.790000000000006252776074688882,68,0.000736417518454827307872179176,64,970,0.45280804042043093504688044959,2,111,5
173,1761945144,66,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945210,1761946959,1749,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00094405321535528778 --batch_size 64 --hidden_size 1549 --dropout 0.5 --num_dense_layers 1 --filter 93 --num_conv_layers 5,0,,c122,1206620,173_0,COMPLETED,BOTORCH_MODULAR,69,120,0.000944053215355287783823456937,64,1549,0.5,1,93,5
174,1761945145,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945173,1761946272,1099,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.00076529765589015291 --batch_size 64 --hidden_size 1876 --dropout 0.43717214825107725273 --num_dense_layers 2 --filter 111 --num_conv_layers 5,0,,c140,1206610,174_0,COMPLETED,BOTORCH_MODULAR,68.92000000000000170530256582424,71,0.000765297655890152914333335321,64,1876,0.437172148251077252734120293098,2,111,5
175,1761945145,54,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945199,1761947047,1848,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00091788856059193936 --batch_size 64 --hidden_size 3081 --dropout 0.40097432211802513935 --num_dense_layers 1 --filter 95 --num_conv_layers 5,0,,c124,1206617,175_0,COMPLETED,BOTORCH_MODULAR,69.379999999999995452526491135359,120,0.000917888560591939356089752344,64,3081,0.400974322118025139349839491842,1,95,5
176,1761945146,77,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945223,1761947102,1879,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00092396752260659682 --batch_size 64 --hidden_size 4096 --dropout 0.38602739894309689994 --num_dense_layers 1 --filter 98 --num_conv_layers 5,0,,c120,1206623,176_0,COMPLETED,BOTORCH_MODULAR,70.340000000000003410605131648481,120,0.000923967522606596817352775375,64,4096,0.386027398943096899941451738414,1,98,5
177,1761945146,65,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945211,1761946288,1077,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00100000000000000002 --batch_size 781 --hidden_size 3724 --dropout 0.19635941444248547483 --num_dense_layers 1 --filter 119 --num_conv_layers 7,0,,c122,1206622,177_0,COMPLETED,BOTORCH_MODULAR,64.269999999999996020960679743439,97,0.001000000000000000020816681712,781,3724,0.196359414442485474827648772589,1,119,7
178,1761945146,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945194,1761946299,1105,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00071782124832134233 --batch_size 68 --hidden_size 2329 --dropout 0.45603059808264501118 --num_dense_layers 2 --filter 111 --num_conv_layers 5,0,,c131,1206616,178_0,COMPLETED,BOTORCH_MODULAR,69.180000000000006821210263296962,70,0.000717821248321342327176897147,68,2329,0.456030598082645011182023608853,2,111,5
179,1761945150,73,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761945223,1761947021,1798,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00086559233971465299 --batch_size 64 --hidden_size 4096 --dropout 0.40826587874446734761 --num_dense_layers 1 --filter 94 --num_conv_layers 5,0,,c120,1206624,179_0,COMPLETED,BOTORCH_MODULAR,69.430000000000006821210263296962,115,0.000865592339714652990109722275,64,4096,0.408265878744467347605251461573,1,94,5
180,1761947254,17,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947271,1761948495,1224,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00061536183681536324 --batch_size 64 --hidden_size 3885 --dropout 0.39018929665995727429 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c155,1206633,180_0,COMPLETED,BOTORCH_MODULAR,69.680000000000006821210263296962,74,0.000615361836815363238452347705,64,3885,0.390189296659957274293617501826,1,113,5
181,1761947254,37,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947291,1761948495,1204,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00061972517117849413 --batch_size 64 --hidden_size 4060 --dropout 0.39567438625560613641 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c139,1206639,181_0,COMPLETED,BOTORCH_MODULAR,69.939999999999997726263245567679,75,0.00061972517117849412922325758,64,4060,0.395674386255606136408857764764,1,113,5
182,1761947254,56,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947310,1761948358,1048,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00056181611940837102 --batch_size 76 --hidden_size 2438 --dropout 0.39695472540139631334 --num_dense_layers 1 --filter 115 --num_conv_layers 5,0,,c131,1206640,182_0,COMPLETED,BOTORCH_MODULAR,69.540000000000006252776074688882,70,0.000561816119408371024597503851,76,2438,0.396954725401396313344548616442,1,115,5
183,1761947255,16,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947271,1761948480,1209,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00061143993706959669 --batch_size 64 --hidden_size 4096 --dropout 0.3985362268467934066 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c143,1206634,183_0,COMPLETED,BOTORCH_MODULAR,69.89000000000000056843418860808,75,0.000611439937069596694055317876,64,4096,0.398536226846793406597413422787,1,113,5
184,1761947254,17,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947271,1761948476,1205,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00061459770030600929 --batch_size 64 --hidden_size 4096 --dropout 0.39709051184937721457 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c141,1206635,184_0,COMPLETED,BOTORCH_MODULAR,70.269999999999996020960679743439,75,0.000614597700306009292817166489,64,4096,0.397090511849377214570466776422,1,113,5
185,1761947255,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947331,1761948358,1027,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00056103595786747109 --batch_size 73 --hidden_size 3216 --dropout 0.38453274070077209101 --num_dense_layers 1 --filter 117 --num_conv_layers 5,0,,c126,1206648,185_0,COMPLETED,BOTORCH_MODULAR,70.439999999999997726263245567679,66,0.000561035957867471088943156499,73,3216,0.384532740700772091013703857243,1,117,5
186,1761947256,56,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947312,1761948547,1235,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00062624438507094299 --batch_size 64 --hidden_size 4040 --dropout 0.39688203317808651294 --num_dense_layers 1 --filter 125 --num_conv_layers 5,0,,c130,1206641,186_0,COMPLETED,BOTORCH_MODULAR,70.17000000000000170530256582424,75,0.000626244385070942989959807967,64,4040,0.396882033178086512936744156832,1,125,5
187,1761947255,71,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947326,1761948539,1213,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00062474055702065555 --batch_size 64 --hidden_size 4096 --dropout 0.39324712253976279452 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c129,1206645,187_0,COMPLETED,BOTORCH_MODULAR,69.870000000000004547473508864641,75,0.000624740557020655551227761304,64,4096,0.393247122539762794524165201437,1,113,5
188,1761947255,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947280,1761948484,1204,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00067095955084498773 --batch_size 64 --hidden_size 3947 --dropout 0.38834937881539383087 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206637,188_0,COMPLETED,BOTORCH_MODULAR,70.769999999999996020960679743439,77,0.000670959550844987730883195454,64,3947,0.388349378815393830866042890193,1,128,5
189,1761947255,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947325,1761948495,1170,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00060288223046854866 --batch_size 64 --hidden_size 3598 --dropout 0.39496815860501227613 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c129,1206643,189_0,COMPLETED,BOTORCH_MODULAR,70.379999999999995452526491135359,73,0.00060288223046854865633248366,64,3598,0.394968158605012276129997417229,1,113,5
190,1761947255,55,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947310,1761948355,1045,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00053744287204112546 --batch_size 64 --hidden_size 1702 --dropout 0.39022930562574253965 --num_dense_layers 1 --filter 115 --num_conv_layers 5,0,,c130,1206642,190_0,COMPLETED,BOTORCH_MODULAR,69.290000000000006252776074688882,69,0.000537442872041125462717614525,64,1702,0.390229305625742539653799667576,1,115,5
191,1761947255,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947325,1761948526,1201,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.0006439389035904061 --batch_size 64 --hidden_size 4096 --dropout 0.38881648947758473689 --num_dense_layers 1 --filter 127 --num_conv_layers 5,0,,c129,1206644,191_0,COMPLETED,BOTORCH_MODULAR,71.129999999999995452526491135359,74,0.000643938903590406098130516366,64,4096,0.388816489477584736889070882171,1,127,5
192,1761947259,106,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947365,1761948576,1211,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00061842742161207691 --batch_size 64 --hidden_size 4096 --dropout 0.39355937436804538931 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c123,1206651,192_0,COMPLETED,BOTORCH_MODULAR,70.260000000000005115907697472721,75,0.000618427421612076908853661283,64,4096,0.393559374368045389314119120172,1,113,5
193,1761947255,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947280,1761948475,1195,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00061844980254593994 --batch_size 64 --hidden_size 4096 --dropout 0.39481877250442931615 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c140,1206638,193_0,COMPLETED,BOTORCH_MODULAR,70.189999999999997726263245567679,75,0.000618449802545939942427510871,64,4096,0.39481877250442931615026509462,1,113,5
194,1761947255,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947331,1761948545,1214,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00062067460807917728 --batch_size 64 --hidden_size 4096 --dropout 0.39428164346406419094 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c129,1206646,194_0,COMPLETED,BOTORCH_MODULAR,69.900000000000005684341886080801,75,0.000620674608079177275894722232,64,4096,0.394281643464064190940376875005,1,113,5
195,1761947255,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947331,1761948659,1328,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00062189431498038618 --batch_size 64 --hidden_size 4096 --dropout 0.39212834784376576769 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c127,1206647,195_0,COMPLETED,BOTORCH_MODULAR,69.78000000000000113686837721616,75,0.000621894314980386180360949488,64,4096,0.392128347843765767688495316179,1,113,5
196,1761947256,75,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947331,1761948817,1486,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 89 --learning_rate 0.00068418200849021979 --batch_size 69 --hidden_size 3929 --dropout 0.42042078988113429361 --num_dense_layers 1 --filter 118 --num_conv_layers 5,0,,c125,1206649,196_0,COMPLETED,BOTORCH_MODULAR,70.340000000000003410605131648481,89,0.000684182008490219787863462209,69,3929,0.420420789881134293608511143248,1,118,5
197,1761947256,84,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947340,1761948395,1055,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 67 --learning_rate 0.00057501035506223855 --batch_size 68 --hidden_size 3508 --dropout 0.38817075036723991399 --num_dense_layers 1 --filter 115 --num_conv_layers 5,0,,c124,1206650,197_0,COMPLETED,BOTORCH_MODULAR,69.879999999999995452526491135359,67,0.000575010355062238547561859203,68,3508,0.388170750367239913991568300844,1,115,5
198,1761947261,104,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947365,1761948603,1238,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 85 --learning_rate 0.00065903012660863331 --batch_size 92 --hidden_size 2951 --dropout 0.42352338201310790744 --num_dense_layers 1 --filter 122 --num_conv_layers 5,0,,c123,1206652,198_0,COMPLETED,BOTORCH_MODULAR,70.299999999999997157829056959599,85,0.000659030126608633310368590141,92,2951,0.423523382013107907440030430735,1,122,5
199,1761947271,99,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761947370,1761948576,1206,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00061821471640955176 --batch_size 64 --hidden_size 4096 --dropout 0.39686376763519809474 --num_dense_layers 1 --filter 113 --num_conv_layers 5,0,,c123,1206653,199_0,COMPLETED,BOTORCH_MODULAR,70.200000000000002842170943040401,75,0.000618214716409551758892482187,64,4096,0.396863767635198094740900387478,1,113,5
200,1761948956,68,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949024,1761950599,1575,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.35603114557383047645 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206696,200_0,COMPLETED,BOTORCH_MODULAR,71.069999999999993178789736703038,99,0.001000000000000000020816681712,64,4096,0.356031145573830476447341197854,1,128,5
201,1761948955,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948958,1761950553,1595,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.35519078180619928498 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c147,1206685,201_0,COMPLETED,BOTORCH_MODULAR,71.069999999999993178789736703038,100,0.001000000000000000020816681712,64,4096,0.355190781806199284975633645445,1,128,5
202,1761948955,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948958,1761950620,1662,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.36435716953015467867 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c155,1206684,202_0,COMPLETED,BOTORCH_MODULAR,70.659999999999996589394868351519,100,0.001000000000000000020816681712,64,4096,0.364357169530154678671607371143,1,128,5
203,1761948955,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948979,1761950671,1692,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00099969976587289434 --batch_size 64 --hidden_size 4096 --dropout 0.36085928195853589351 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c145,1206686,203_0,COMPLETED,BOTORCH_MODULAR,70.980000000000003979039320256561,100,0.000999699765872894344220789264,64,4096,0.360859281958535893508610570279,1,128,5
204,1761948955,36,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948991,1761950542,1551,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00098914625700186119 --batch_size 64 --hidden_size 4096 --dropout 0.35986417324350206126 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1206690,204_0,COMPLETED,BOTORCH_MODULAR,71.260000000000005115907697472721,98,0.000989146257001861190991109929,64,4096,0.359864173243502061261267499503,1,128,5
205,1761948956,68,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949024,1761950580,1556,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00098698168643623473 --batch_size 64 --hidden_size 4096 --dropout 0.35917022437872025975 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206698,205_0,COMPLETED,BOTORCH_MODULAR,70.680000000000006821210263296962,98,0.000986981686436234732784367196,64,4096,0.359170224378720259750252807862,1,128,5
206,1761948955,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948978,1761950543,1565,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3719 --dropout 0.35768944017780612832 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206688,206_0,COMPLETED,BOTORCH_MODULAR,70.239999999999994884092302527279,100,0.001000000000000000020816681712,64,3719,0.357689440177806128318138689792,1,128,5
207,1761948955,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948978,1761950524,1546,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00098984053860843744 --batch_size 64 --hidden_size 4096 --dropout 0.36200168519059428007 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206689,207_0,COMPLETED,BOTORCH_MODULAR,70.680000000000006821210263296962,98,0.000989840538608437441742138319,64,4096,0.36200168519059428007267342764,1,128,5
208,1761948956,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948998,1761950609,1611,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.365106120538334189 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1206693,208_0,COMPLETED,BOTORCH_MODULAR,71.370000000000004547473508864641,100,0.001000000000000000020816681712,64,4096,0.365106120538334188996287821283,1,128,5
209,1761948956,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949018,1761950752,1734,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.35672084916748802996 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c127,1206699,209_0,COMPLETED,BOTORCH_MODULAR,70.810000000000002273736754432321,99,0.001000000000000000020816681712,64,4096,0.356720849167488029962669315864,1,128,5
210,1761948956,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949018,1761950597,1579,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.35903443788370059675 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1206694,210_0,COMPLETED,BOTORCH_MODULAR,71.319999999999993178789736703038,100,0.001000000000000000020816681712,64,4096,0.35903443788370059674974754671,1,128,5
211,1761948956,34,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948990,1761950549,1559,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00099759237147489387 --batch_size 64 --hidden_size 4096 --dropout 0.37296536228650295497 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1206691,211_0,COMPLETED,BOTORCH_MODULAR,71.10999999999999943156581139192,100,0.000997592371474893867613897847,64,4096,0.372965362286502954969336087743,1,128,5
212,1761948956,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948978,1761950550,1572,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.35580104153374880749 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1206687,212_0,COMPLETED,BOTORCH_MODULAR,71.17000000000000170530256582424,99,0.001000000000000000020816681712,64,4096,0.355801041533748807488279908284,1,128,5
213,1761948956,68,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949024,1761950586,1562,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00099606055238078825 --batch_size 64 --hidden_size 4096 --dropout 0.36014671278383103559 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206697,213_0,COMPLETED,BOTORCH_MODULAR,71.03000000000000113686837721616,99,0.000996060552380788246512599571,64,4096,0.360146712783831035586956659245,1,128,5
214,1761948956,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761948999,1761950534,1535,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00099511635442539148 --batch_size 64 --hidden_size 4096 --dropout 0.35879516008108269798 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c131,1206692,214_0,COMPLETED,BOTORCH_MODULAR,70.569999999999993178789736703038,97,0.000995116354425391478819018509,64,4096,0.358795160081082697978160922503,1,128,5
215,1761948956,68,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949024,1761950636,1612,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 101 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.35978101495710101965 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206695,215_0,COMPLETED,BOTORCH_MODULAR,71.25,101,0.001000000000000000020816681712,64,4096,0.359781014957101019646756867587,1,128,5
216,1761948957,81,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949038,1761950649,1611,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 101 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3915 --dropout 0.3474991370210586128 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c126,1206700,216_0,COMPLETED,BOTORCH_MODULAR,70.819999999999993178789736703038,101,0.001000000000000000020816681712,64,3915,0.347499137021058612795343378821,1,128,5
217,1761948958,80,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949038,1761951049,2011,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3500 --dropout 0.36184830905084530706 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c125,1206701,217_0,COMPLETED,BOTORCH_MODULAR,71.07999999999999829469743417576,120,0.001000000000000000020816681712,64,3500,0.361848309050845307055510602368,1,128,5
218,1761948967,83,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949050,1761950605,1555,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00099063569107173642 --batch_size 64 --hidden_size 4096 --dropout 0.36375613555867375437 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1206702,218_0,COMPLETED,BOTORCH_MODULAR,70.870000000000004547473508864641,98,0.000990635691071736421142723827,64,4096,0.363756135558673754371028508103,1,128,5
219,1761948972,84,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761949056,1761950675,1619,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 101 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.35611771115648233055 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1206703,219_0,COMPLETED,BOTORCH_MODULAR,71.049999999999997157829056959599,101,0.001000000000000000020816681712,64,4096,0.356117711156482330547845549518,1,128,5
220,1761951202,8,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951210,1761953040,1830,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00093550103230993027 --batch_size 64 --hidden_size 3895 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1206738,220_0,COMPLETED,BOTORCH_MODULAR,70.590000000000003410605131648481,116,0.000935501032309930271278763936,64,3895,0.5,1,128,5
221,1761951203,9,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951212,1761953044,1832,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00091711288405057969 --batch_size 64 --hidden_size 4096 --dropout 0.49879802343527435138 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1206741,221_0,COMPLETED,BOTORCH_MODULAR,70.849999999999994315658113919199,115,0.00091711288405057968687456027,64,4096,0.498798023435274351378154733538,1,128,5
222,1761951203,29,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951232,1761953079,1847,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00092087931540774917 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1206743,222_0,COMPLETED,BOTORCH_MODULAR,70.870000000000004547473508864641,116,0.00092087931540774917073960415,64,4096,0.5,1,128,5
223,1761951203,38,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951241,1761953079,1838,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00094126272509043019 --batch_size 64 --hidden_size 3831 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1206748,223_0,COMPLETED,BOTORCH_MODULAR,70.819999999999993178789736703038,116,0.000941262725090430190863499682,64,3831,0.5,1,128,5
224,1761951203,7,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951210,1761953046,1836,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00092474387068567764 --batch_size 64 --hidden_size 4096 --dropout 0.49926117413027598646 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206740,224_0,COMPLETED,BOTORCH_MODULAR,71.040000000000006252776074688882,116,0.000924743870685677642196065307,64,4096,0.499261174130275986460247850118,1,128,5
225,1761951202,8,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951210,1761953040,1830,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00093161863605636084 --batch_size 64 --hidden_size 3891 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206739,225_0,COMPLETED,BOTORCH_MODULAR,70.510000000000005115907697472721,116,0.000931618636056360843906987146,64,3891,0.5,1,128,5
226,1761951203,34,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951237,1761953147,1910,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00093942240693206571 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1206745,226_0,COMPLETED,BOTORCH_MODULAR,70.650000000000005684341886080801,120,0.000939422406932065713440482835,64,4096,0.5,1,128,5
227,1761951203,31,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951234,1761953079,1845,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.0009272142769832433 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1206742,227_0,COMPLETED,BOTORCH_MODULAR,70.989999999999994884092302527279,116,0.000927214276983243297115822035,64,4096,0.5,1,128,5
228,1761951204,54,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951258,1761953101,1843,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00091918179313531343 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206752,228_0,COMPLETED,BOTORCH_MODULAR,71.400000000000005684341886080801,116,0.000919181793135313428451393936,64,4096,0.5,1,128,5
229,1761951204,54,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951258,1761953076,1818,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00092870961809229013 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206750,229_0,COMPLETED,BOTORCH_MODULAR,71.569999999999993178789736703038,115,0.000928709618092290133638255778,64,4096,0.5,1,128,5
230,1761951203,30,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951233,1761953040,1807,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00092028516245138737 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c131,1206744,230_0,COMPLETED,BOTORCH_MODULAR,71.480000000000003979039320256561,116,0.000920285162451387373123978808,64,4096,0.5,1,128,5
231,1761951204,66,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951270,1761953094,1824,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00095655597761676184 --batch_size 64 --hidden_size 3396 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206754,231_0,COMPLETED,BOTORCH_MODULAR,70.950000000000002842170943040401,117,0.000956555977616761841236803221,64,3396,0.5,1,128,5
232,1761951204,67,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951271,1761953311,2040,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00092027686859699363 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c127,1206755,232_0,COMPLETED,BOTORCH_MODULAR,71.189999999999997726263245567679,116,0.000920276868596993629506597401,64,4096,0.5,1,128,5
233,1761951204,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951232,1761953066,1834,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00092805999654315113 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1206746,233_0,COMPLETED,BOTORCH_MODULAR,70.85999999999999943156581139192,116,0.000928059996543151126402459994,64,4096,0.5,1,128,5
234,1761951204,54,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951258,1761953096,1838,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00091265289426155664 --batch_size 64 --hidden_size 4096 --dropout 0.49944287236696022214 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206751,234_0,COMPLETED,BOTORCH_MODULAR,71.310000000000002273736754432321,116,0.000912652894261556640181920486,64,4096,0.499442872366960222141329950318,1,128,5
235,1761951204,67,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951271,1761953102,1831,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00091350685075645695 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1206758,235_0,COMPLETED,BOTORCH_MODULAR,71.019999999999996020960679743439,116,0.000913506850756456946147099352,64,4096,0.5,1,128,5
236,1761951205,47,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951252,1761953169,1917,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00094507343251694451 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c153,1206749,236_0,COMPLETED,BOTORCH_MODULAR,70.349999999999994315658113919199,120,0.00094507343251694451036898359,64,4096,0.5,1,128,5
237,1761951206,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951270,1761953094,1824,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00091813826430860591 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c126,1206756,237_0,COMPLETED,BOTORCH_MODULAR,71.549999999999997157829056959599,115,0.000918138264308605909873317596,64,4096,0.5,1,128,5
238,1761951206,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951270,1761953213,1943,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00092040172616329524 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c125,1206757,238_0,COMPLETED,BOTORCH_MODULAR,71.230000000000003979039320256561,116,0.000920401726163295238331008008,64,4096,0.5,1,128,5
239,1761951209,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761951271,1761953120,1849,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00093680031960001486 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1206759,239_0,COMPLETED,BOTORCH_MODULAR,71.049999999999997157829056959599,116,0.000936800319600014858370529147,64,4096,0.5,1,128,5
240,1761953488,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953491,1761955206,1715,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00082765275484951992 --batch_size 64 --hidden_size 4096 --dropout 0.41107301967926757058 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206795,240_0,COMPLETED,BOTORCH_MODULAR,71.560000000000002273736754432321,108,0.000827652754849519923206757621,64,4096,0.411073019679267570580805113423,1,128,5
241,1761953488,141,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953629,1761955337,1708,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00082667452065933 --batch_size 64 --hidden_size 4096 --dropout 0.40897536438115400514 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206813,241_0,COMPLETED,BOTORCH_MODULAR,70.769999999999996020960679743439,108,0.000826674520659330001534637056,64,4096,0.408975364381154005144480834133,1,128,5
242,1761953488,96,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953584,1761955402,1818,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00079961442727595586 --batch_size 64 --hidden_size 1390 --dropout 0.4036934849160164207 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c117,1206810,242_0,COMPLETED,BOTORCH_MODULAR,69.819999999999993178789736703038,120,0.000799614427275955859733547193,64,1390,0.403693484916016420704920619755,2,128,5
243,1761953488,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953511,1761955219,1708,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00082682581740150054 --batch_size 64 --hidden_size 4096 --dropout 0.40945543083530672179 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1206798,243_0,COMPLETED,BOTORCH_MODULAR,70.620000000000004547473508864641,108,0.000826825817401500543120385078,64,4096,0.409455430835306721792932194148,1,128,5
244,1761953488,32,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953520,1761954792,1272,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00031226590671760876 --batch_size 67 --hidden_size 3278 --dropout 0.5 --num_dense_layers 2 --filter 79 --num_conv_layers 5,0,,c131,1206800,244_0,COMPLETED,BOTORCH_MODULAR,65.209999999999993747223925311118,81,0.000312265906717608756910237178,67,3278,0.5,2,79,5
245,1761953488,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953531,1761955113,1582,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.0008180292489445327 --batch_size 88 --hidden_size 3481 --dropout 0.39075516089852468937 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1206802,245_0,COMPLETED,BOTORCH_MODULAR,70.299999999999997157829056959599,110,0.000818029248944532696476150679,88,3481,0.390755160898524689372379725683,1,128,5
246,1761953488,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953551,1761955026,1475,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.0008917687856497457 --batch_size 139 --hidden_size 3585 --dropout 0.40871032475164653652 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c125,1206805,246_0,COMPLETED,BOTORCH_MODULAR,69.659999999999996589394868351519,105,0.000891768785649745703882074199,139,3585,0.408710324751646536522997621432,1,128,5
247,1761953488,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953491,1761955175,1684,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00079046665896254911 --batch_size 64 --hidden_size 3468 --dropout 0.40005749305880028421 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206796,247_0,COMPLETED,BOTORCH_MODULAR,71.040000000000006252776074688882,108,0.000790466658962549108963235867,64,3468,0.400057493058800284213560871649,1,128,5
248,1761953488,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953550,1761955167,1617,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 119 --learning_rate 0.00100000000000000002 --batch_size 194 --hidden_size 2709 --dropout 0.36865009523016367687 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c127,1206803,248_0,COMPLETED,BOTORCH_MODULAR,69.900000000000005684341886080801,119,0.001000000000000000020816681712,194,2709,0.368650095230163676873758049624,1,128,5
249,1761953488,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953491,1761955199,1708,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00081001307701984639 --batch_size 64 --hidden_size 3829 --dropout 0.40561519484605529362 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1206794,249_0,COMPLETED,BOTORCH_MODULAR,71.019999999999996020960679743439,108,0.000810013077019846390765256405,64,3829,0.405615194846055293620423753964,1,128,5
250,1761953488,45,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953533,1761955107,1574,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.0009809682000281204 --batch_size 156 --hidden_size 4096 --dropout 0.35667271649745352358 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1206801,250_0,COMPLETED,BOTORCH_MODULAR,69.67000000000000170530256582424,120,0.000980968200028120400346676178,156,4096,0.356672716497453523576410816531,1,128,5
251,1761953488,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953511,1761954985,1474,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 118 --learning_rate 0.00100000000000000002 --batch_size 214 --hidden_size 4094 --dropout 0.37084189873184009167 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1206797,251_0,COMPLETED,BOTORCH_MODULAR,69.21999999999999886313162278384,118,0.001000000000000000020816681712,214,4094,0.370841898731840091674172299463,1,128,5
252,1761953488,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953550,1761955217,1667,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00077611047693219208 --batch_size 76 --hidden_size 3097 --dropout 0.39092697043250274058 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c126,1206804,252_0,COMPLETED,BOTORCH_MODULAR,70.659999999999996589394868351519,110,0.00077611047693219208445936097,76,3097,0.390926970432502740582236810951,1,128,5
253,1761953488,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953516,1761955237,1721,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00082719374699976233 --batch_size 64 --hidden_size 4096 --dropout 0.41067738666748104803 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1206799,253_0,COMPLETED,BOTORCH_MODULAR,71.319999999999993178789736703038,108,0.000827193746999762332533512321,64,4096,0.410677386667481048032612989118,1,128,5
254,1761953488,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953551,1761955271,1720,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00082457578255496215 --batch_size 64 --hidden_size 4096 --dropout 0.4086877078426117138 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1206809,254_0,COMPLETED,BOTORCH_MODULAR,70.680000000000006821210263296962,108,0.00082457578255496215453856923,64,4096,0.408687707842611713804359396818,1,128,5
255,1761953489,61,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953550,1761955242,1692,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00082274787973729525 --batch_size 64 --hidden_size 4096 --dropout 0.40963662507630332899 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1206806,255_0,COMPLETED,BOTORCH_MODULAR,70.799999999999997157829056959599,108,0.000822747879737295247960793265,64,4096,0.40963662507630332898500569172,1,128,5
256,1761953490,94,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953584,1761955042,1458,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 118 --learning_rate 0.00100000000000000002 --batch_size 194 --hidden_size 2679 --dropout 0.36086421264516471696 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c116,1206811,256_0,COMPLETED,BOTORCH_MODULAR,69.370000000000004547473508864641,118,0.001000000000000000020816681712,194,2679,0.360864212645164716963819273587,1,128,5
257,1761953490,60,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953550,1761955246,1696,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00080733914399795919 --batch_size 64 --hidden_size 3785 --dropout 0.40462689949424812674 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1206808,257_0,COMPLETED,BOTORCH_MODULAR,70.909999999999996589394868351519,108,0.000807339143997959189646973499,64,3785,0.404626899494248126742945714795,1,128,5
258,1761953491,59,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953550,1761955065,1515,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00088397004194389636 --batch_size 131 --hidden_size 3969 --dropout 0.39090410583590051719 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1206807,258_0,COMPLETED,BOTORCH_MODULAR,70.60999999999999943156581139192,111,0.000883970041943896362758581464,131,3969,0.390904105835900517185166336276,1,128,5
259,1761953499,85,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761953584,1761955294,1710,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00082818692897644001 --batch_size 64 --hidden_size 4096 --dropout 0.40977862355672706185 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c116,1206812,259_0,COMPLETED,BOTORCH_MODULAR,70.980000000000003979039320256561,108,0.000828186928976440005396864041,64,4096,0.409778623556727061849613846789,1,128,5
260,1761955607,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955630,1761957405,1775,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3195 --dropout 0.45049478613910032276 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c139,1206844,260_0,COMPLETED,BOTORCH_MODULAR,69.35999999999999943156581139192,109,0.001000000000000000020816681712,64,3195,0.450494786139100322763795247738,2,128,5
261,1761955606,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955610,1761957400,1790,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00099305998033813762 --batch_size 64 --hidden_size 3748 --dropout 0.4414509245027027351 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c143,1206839,261_0,COMPLETED,BOTORCH_MODULAR,70.290000000000006252776074688882,108,0.000993059980338137620464733502,64,3748,0.441450924502702735097159347788,2,128,5
262,1761955607,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955630,1761956596,966,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 62 --learning_rate 0.00084856489815089285 --batch_size 64 --hidden_size 2953 --dropout 0.29997084361912518258 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1206842,262_0,COMPLETED,BOTORCH_MODULAR,70.819999999999993178789736703038,62,0.000848564898150892853515014913,64,2953,0.299970843619125182577533905715,1,128,5
263,1761955606,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955610,1761957023,1413,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 92 --learning_rate 0.00086495288228469061 --batch_size 64 --hidden_size 2825 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206841,263_0,COMPLETED,BOTORCH_MODULAR,70.599999999999994315658113919199,92,0.000864952882284690614117517171,64,2825,0.5,1,128,5
264,1761955607,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955631,1761957446,1815,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3037 --dropout 0.43357297368959268891 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c126,1206849,264_0,COMPLETED,BOTORCH_MODULAR,70.340000000000003410605131648481,112,0.001000000000000000020816681712,64,3037,0.433572973689592688906202511134,2,128,5
265,1761955607,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955671,1761957307,1636,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1613 --dropout 0.45710217717717105401 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1206857,265_0,COMPLETED,BOTORCH_MODULAR,70.430000000000006821210263296962,108,0.001000000000000000020816681712,64,1613,0.457102177177171054012205786421,1,128,5
266,1761955606,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955610,1761957469,1859,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3791 --dropout 0.43604218910409897614 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c141,1206840,266_0,COMPLETED,BOTORCH_MODULAR,69.42000000000000170530256582424,112,0.001000000000000000020816681712,64,3791,0.436042189104098976137890986138,2,128,5
267,1761955607,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955630,1761957397,1767,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00092166354811365145 --batch_size 64 --hidden_size 3087 --dropout 0.48421264818992931778 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c127,1206848,267_0,COMPLETED,BOTORCH_MODULAR,70.519999999999996020960679743439,102,0.000921663548113651445899130454,64,3087,0.484212648189929317776858397337,1,128,5
268,1761955607,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955630,1761957063,1433,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 92 --learning_rate 0.00085977219551714693 --batch_size 64 --hidden_size 2568 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1206845,268_0,COMPLETED,BOTORCH_MODULAR,70.819999999999993178789736703038,92,0.000859772195517146927204454876,64,2568,0.5,1,128,5
269,1761955608,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955630,1761956905,1275,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00079661147903084583 --batch_size 64 --hidden_size 2931 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206847,269_0,COMPLETED,BOTORCH_MODULAR,70.629999999999995452526491135359,82,0.000796611479030845826693196798,64,2931,0.5,1,128,5
270,1761955607,49,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955656,1761957244,1588,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00100000000000000002 --batch_size 105 --hidden_size 2874 --dropout 0.42436082848510653376 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c118,1206852,270_0,COMPLETED,BOTORCH_MODULAR,69.129999999999995452526491135359,115,0.001000000000000000020816681712,105,2874,0.424360828485106533758397517886,1,128,7
271,1761955607,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955631,1761957000,1369,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 88 --learning_rate 0.0008357705183575638 --batch_size 64 --hidden_size 2864 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1206843,271_0,COMPLETED,BOTORCH_MODULAR,70.400000000000005684341886080801,88,0.000835770518357563797599840694,64,2864,0.5,1,128,5
272,1761955607,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955655,1761957089,1434,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 91 --learning_rate 0.00083751607317648859 --batch_size 64 --hidden_size 4036 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1206851,272_0,COMPLETED,BOTORCH_MODULAR,71.040000000000006252776074688882,91,0.000837516073176488586547738802,64,4036,0.5,1,128,5
273,1761955608,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955650,1761957380,1730,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00093650338847951244 --batch_size 64 --hidden_size 4096 --dropout 0.44968613380534622204 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c124,1206850,273_0,COMPLETED,BOTORCH_MODULAR,69.439999999999997726263245567679,104,0.000936503388479512435815799165,64,4096,0.449686133805346222036547487733,2,128,5
274,1761955608,82,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955690,1761957173,1483,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 96 --learning_rate 0.00089338469921127687 --batch_size 64 --hidden_size 2516 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1206859,274_0,COMPLETED,BOTORCH_MODULAR,71.28000000000000113686837721616,96,0.000893384699211276873606624171,64,2516,0.5,1,128,5
275,1761955607,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955632,1761956306,674,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 51 --learning_rate 0.00075120492315991169 --batch_size 125 --hidden_size 2411 --dropout 0.27053069276167723833 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c130,1206846,275_0,COMPLETED,BOTORCH_MODULAR,67.620000000000004547473508864641,51,0.000751204923159911686428302779,125,2411,0.27053069276167723833381728582,1,128,7
276,1761955610,50,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955660,1761956775,1115,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00089198385404272136 --batch_size 112 --hidden_size 3737 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c118,1206855,276_0,COMPLETED,BOTORCH_MODULAR,69.040000000000006252776074688882,81,0.000891983854042721364258072825,112,3737,0.5,1,128,7
277,1761955610,51,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955661,1761957520,1859,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00099002427520501063 --batch_size 64 --hidden_size 4069 --dropout 0.4393683767516051164 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c118,1206854,277_0,COMPLETED,BOTORCH_MODULAR,69.900000000000005684341886080801,110,0.000990024275205010628742030576,64,4069,0.439368376751605116403709416772,2,128,5
278,1761955610,60,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955670,1761957456,1786,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00096292737696265405 --batch_size 64 --hidden_size 4096 --dropout 0.44485552223843755071 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c118,1206856,278_0,COMPLETED,BOTORCH_MODULAR,69.810000000000002273736754432321,107,0.000962927376962654049154244351,64,4096,0.444855522238437550708312073766,2,128,5
279,1761955614,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761955677,1761957420,1743,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00093521181557893937 --batch_size 64 --hidden_size 4096 --dropout 0.45240969947621412217 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c117,1206858,279_0,COMPLETED,BOTORCH_MODULAR,69.299999999999997157829056959599,104,0.000935211815578939373132250079,64,4096,0.452409699476214122171313647414,2,128,5
280,1761957762,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957767,1761959766,1999,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00092738822885929785 --batch_size 64 --hidden_size 3979 --dropout 0.43473239883821379603 --num_dense_layers 1 --filter 120 --num_conv_layers 5,0,,c153,1206884,280_0,COMPLETED,BOTORCH_MODULAR,70.989999999999994884092302527279,120,0.000927388228859297850982523759,64,3979,0.434732398838213796032903246669,1,120,5
281,1761957762,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957766,1761959648,1882,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00093427890583798327 --batch_size 64 --hidden_size 4090 --dropout 0.4319870028573633558 --num_dense_layers 1 --filter 120 --num_conv_layers 5,0,,c143,1206885,281_0,COMPLETED,BOTORCH_MODULAR,70.82999999999999829469743417576,120,0.000934278905837983265035562308,64,4090,0.431987002857363355801112447807,1,120,5
282,1761957762,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957786,1761959133,1347,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 517 --hidden_size 1929 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1206887,282_0,COMPLETED,BOTORCH_MODULAR,64.700000000000002842170943040401,120,0.001000000000000000020816681712,517,1929,0,1,128,5
283,1761957762,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957766,1761958946,1180,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00086773945722374798 --batch_size 64 --hidden_size 4096 --dropout 0.38877479579289792033 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206886,283_0,COMPLETED,BOTORCH_MODULAR,71.230000000000003979039320256561,74,0.000867739457223747978967254291,64,4096,0.388774795792897920332364947171,1,128,5
284,1761957762,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957786,1761959129,1343,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 552 --hidden_size 2118 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c119,1206896,284_0,COMPLETED,BOTORCH_MODULAR,67.439999999999997726263245567679,120,0.001000000000000000020816681712,552,2118,0.5,1,128,7
285,1761957762,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957786,1761959079,1293,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00087225787771163252 --batch_size 64 --hidden_size 2878 --dropout 0.36820938973326600152 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c127,1206888,285_0,COMPLETED,BOTORCH_MODULAR,70.67000000000000170530256582424,75,0.000872257877711632521183782174,64,2878,0.368209389733266001520917143353,1,128,5
286,1761957763,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957786,1761959680,1894,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00090358894936099204 --batch_size 64 --hidden_size 3395 --dropout 0.45120166054057064819 --num_dense_layers 1 --filter 115 --num_conv_layers 5,0,,c124,1206889,286_0,COMPLETED,BOTORCH_MODULAR,70.659999999999996589394868351519,120,0.000903588949360992037262985122,64,3395,0.451201660540570648194602654257,1,115,5
287,1761957763,50,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957813,1761959681,1868,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.0009769050521541867 --batch_size 64 --hidden_size 2008 --dropout 0.4069104350341942733 --num_dense_layers 1 --filter 123 --num_conv_layers 5,0,,c118,1206898,287_0,COMPLETED,BOTORCH_MODULAR,70.569999999999993178789736703038,120,0.000976905052154186702775828799,64,2008,0.406910435034194273296037636101,1,123,5
288,1761957763,35,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957798,1761958985,1187,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00086835165731992457 --batch_size 64 --hidden_size 3499 --dropout 0.38326522526585415918 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c120,1206892,288_0,COMPLETED,BOTORCH_MODULAR,70.659999999999996589394868351519,75,0.000868351657319924572810132535,64,3499,0.383265225265854159175660242909,1,128,5
289,1761957763,49,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957812,1761958778,966,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.0001 --batch_size 1024 --hidden_size 3029 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 7,0,,c118,1206897,289_0,COMPLETED,BOTORCH_MODULAR,48.78999999999999914734871708788,86,0.000100000000000000004792173602,1024,3029,0.5,2,128,7
290,1761957763,33,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957796,1761958983,1187,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00086673311241753064 --batch_size 64 --hidden_size 4096 --dropout 0.39272162120642223337 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c120,1206891,290_0,COMPLETED,BOTORCH_MODULAR,70.560000000000002273736754432321,74,0.000866733112417530644593088862,64,4096,0.392721621206422233374411234763,1,128,5
291,1761957763,35,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957798,1761958985,1187,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00087514407256159162 --batch_size 64 --hidden_size 3041 --dropout 0.3725595505825673448 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c120,1206893,291_0,COMPLETED,BOTORCH_MODULAR,70.819999999999993178789736703038,75,0.000875144072561591618124310354,64,3041,0.372559550582567344800821729223,1,128,5
292,1761957763,33,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957796,1761959140,1344,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 536 --hidden_size 633 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c120,1206890,292_0,COMPLETED,BOTORCH_MODULAR,65.659999999999996589394868351519,120,0.001000000000000000020816681712,536,633,0,1,128,5
293,1761957763,49,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957812,1761959153,1341,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 510 --hidden_size 539 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1206899,293_0,COMPLETED,BOTORCH_MODULAR,65.439999999999997726263245567679,120,0.001000000000000000020816681712,510,539,0,1,128,5
294,1761957764,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957788,1761959596,1808,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00094219947383324045 --batch_size 73 --hidden_size 3622 --dropout 0.42913422299623210643 --num_dense_layers 1 --filter 120 --num_conv_layers 5,0,,c119,1206894,294_0,COMPLETED,BOTORCH_MODULAR,70.540000000000006252776074688882,120,0.000942199473833240448879255968,73,3622,0.429134222996232106428493580097,1,120,5
295,1761957764,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957788,1761959116,1328,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 567 --hidden_size 806 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c119,1206895,295_0,COMPLETED,BOTORCH_MODULAR,61.3500000000000014210854715202,120,0.001000000000000000020816681712,567,806,0.5,1,128,5
296,1761957766,46,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957812,1761959154,1342,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 520 --hidden_size 650 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1206900,296_0,COMPLETED,BOTORCH_MODULAR,65.590000000000003410605131648481,120,0.001000000000000000020816681712,520,650,0,1,128,5
297,1761957766,46,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957812,1761959153,1341,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 543 --hidden_size 2278 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1206901,297_0,COMPLETED,BOTORCH_MODULAR,65.590000000000003410605131648481,120,0.001000000000000000020816681712,543,2278,0,1,128,5
298,1761957766,46,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957812,1761959712,1900,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00093684335985665254 --batch_size 64 --hidden_size 4096 --dropout 0.42825346944802156202 --num_dense_layers 1 --filter 120 --num_conv_layers 5,0,,c117,1206902,298_0,COMPLETED,BOTORCH_MODULAR,70.85999999999999943156581139192,120,0.000936843359856652535024024164,64,4096,0.428253469448021562016037933063,1,120,5
299,1761957770,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761957813,1761959524,1711,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00092831222024183956 --batch_size 64 --hidden_size 4096 --dropout 0.43553539920466116664 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1206903,299_0,COMPLETED,BOTORCH_MODULAR,71.269999999999996020960679743439,108,0.000928312220241839561839236605,64,4096,0.435535399204661166638885561042,1,128,5
300,1761960117,51,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960168,1761960696,528,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 34 --learning_rate 0.0001 --batch_size 64 --hidden_size 870 --dropout 0.24995687790527112981 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c120,1206941,300_0,COMPLETED,BOTORCH_MODULAR,60.810000000000002273736754432321,34,0.000100000000000000004792173602,64,870,0.24995687790527112981386892443,2,128,5
301,1761960115,15,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960130,1761961947,1817,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00095276646799278728 --batch_size 64 --hidden_size 2936 --dropout 0.41927572154475462041 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c122,1206938,301_0,COMPLETED,BOTORCH_MODULAR,70.239999999999994884092302527279,120,0.000952766467992787282649536085,64,2936,0.419275721544754620406791900677,1,128,6
302,1761960116,79,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960195,1761961873,1678,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00094653598229573301 --batch_size 64 --hidden_size 4096 --dropout 0.4298013655782011444 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c118,1206950,302_0,COMPLETED,BOTORCH_MODULAR,69.930000000000006821210263296962,109,0.000946535982295733011558647174,64,4096,0.429801365578201144401759847824,1,128,6
303,1761960116,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960139,1761961793,1654,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00096256883476611519 --batch_size 64 --hidden_size 2809 --dropout 0.42262724857662853362 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c122,1206939,303_0,COMPLETED,BOTORCH_MODULAR,70.03000000000000113686837721616,111,0.000962568834766115190293422899,64,2809,0.422627248576628533616172944676,1,128,6
304,1761960116,16,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960132,1761961803,1671,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00095734384122512671 --batch_size 64 --hidden_size 3727 --dropout 0.42272986162809184085 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c122,1206937,304_0,COMPLETED,BOTORCH_MODULAR,69.71999999999999886313162278384,110,0.000957343841225126706423464995,64,3727,0.422729861628091840852761151837,1,128,6
305,1761960115,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960119,1761961447,1328,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 597 --hidden_size 512 --dropout 0 --num_dense_layers 2 --filter 128 --num_conv_layers 7,0,,c123,1206935,305_0,COMPLETED,BOTORCH_MODULAR,63.32999999999999829469743417576,120,0.001000000000000000020816681712,597,512,0,2,128,7
306,1761960116,14,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960130,1761961542,1412,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 93 --learning_rate 0.00094443855500454398 --batch_size 64 --hidden_size 2803 --dropout 0.38807994956807639886 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c123,1206936,306_0,COMPLETED,BOTORCH_MODULAR,70.10999999999999943156581139192,93,0.000944438555004543977069997318,64,2803,0.388079949568076398858096354161,1,128,6
307,1761960117,68,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960185,1761961847,1662,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00097783639247505912 --batch_size 64 --hidden_size 3039 --dropout 0.41351734692398744997 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c118,1206947,307_0,COMPLETED,BOTORCH_MODULAR,70.400000000000005684341886080801,110,0.000977836392475059119205882396,64,3039,0.413517346923987449969217777834,1,128,6
308,1761960117,53,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960170,1761961859,1689,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00096922501454738542 --batch_size 64 --hidden_size 3553 --dropout 0.42123141242700973264 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c120,1206943,308_0,COMPLETED,BOTORCH_MODULAR,70.680000000000006821210263296962,110,0.000969225014547385422744585348,64,3553,0.421231412427009732635241334719,1,128,6
309,1761960117,69,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960186,1761961545,1359,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 600 --hidden_size 1184 --dropout 0 --num_dense_layers 2 --filter 128 --num_conv_layers 7,0,,c118,1206948,309_0,COMPLETED,BOTORCH_MODULAR,62.25,120,0.001000000000000000020816681712,600,1184,0,2,128,7
310,1761960116,52,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960168,1761961853,1685,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00095592822312755711 --batch_size 64 --hidden_size 3864 --dropout 0.42632959761456268311 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c120,1206940,310_0,COMPLETED,BOTORCH_MODULAR,70.209999999999993747223925311118,110,0.000955928223127557106890417327,64,3864,0.426329597614562683105532414629,1,128,6
311,1761960117,73,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960190,1761961853,1663,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00094066032182325279 --batch_size 64 --hidden_size 4096 --dropout 0.4299613380097025428 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c118,1206949,311_0,COMPLETED,BOTORCH_MODULAR,70.689999999999997726263245567679,109,0.000940660321823252789513736261,64,4096,0.429961338009702542795054114322,1,128,6
312,1761960120,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960196,1761961861,1665,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00095746832963329814 --batch_size 64 --hidden_size 4096 --dropout 0.42479704023851588834 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c117,1206951,312_0,COMPLETED,BOTORCH_MODULAR,70.480000000000003979039320256561,109,0.000957468329633298143900577148,64,4096,0.424797040238515888344039694857,1,128,6
313,1761960117,53,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960170,1761961934,1764,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.0009443905735227958 --batch_size 64 --hidden_size 3223 --dropout 0.42709542110347131771 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c120,1206942,313_0,COMPLETED,BOTORCH_MODULAR,69.950000000000002842170943040401,116,0.000944390573522795799370210812,64,3223,0.42709542110347131771419526558,1,128,6
314,1761960117,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960161,1761961788,1627,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00096043024886428581 --batch_size 64 --hidden_size 3208 --dropout 0.41491798240690519473 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c119,1206944,314_0,COMPLETED,BOTORCH_MODULAR,70.299999999999997157829056959599,108,0.00096043024886428580554759149,64,3208,0.4149179824069051947255104551,1,128,6
315,1761960117,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960161,1761961505,1344,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 583 --hidden_size 1191 --dropout 0.01698058070165182204 --num_dense_layers 2 --filter 128 --num_conv_layers 7,0,,c119,1206946,315_0,COMPLETED,BOTORCH_MODULAR,62.89000000000000056843418860808,120,0.001000000000000000020816681712,583,1191,0.016980580701651822039810468823,2,128,7
316,1761960118,41,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960159,1761961500,1341,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 595 --hidden_size 512 --dropout 0 --num_dense_layers 2 --filter 128 --num_conv_layers 7,0,,c119,1206945,316_0,COMPLETED,BOTORCH_MODULAR,63.450000000000002842170943040401,120,0.001000000000000000020816681712,595,512,0,2,128,7
317,1761960129,68,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960197,1761961836,1639,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00094410603672241374 --batch_size 64 --hidden_size 4096 --dropout 0.43399520724427914642 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c117,1206952,317_0,COMPLETED,BOTORCH_MODULAR,70.540000000000006252776074688882,109,0.000944106036722413741700543621,64,4096,0.433995207244279146419074777441,1,128,6
318,1761960129,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960199,1761961851,1652,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00094868136826623559 --batch_size 64 --hidden_size 4096 --dropout 0.4288297548643185686 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c117,1206953,318_0,COMPLETED,BOTORCH_MODULAR,69.85999999999999943156581139192,109,0.000948681368266235587084767023,64,4096,0.428829754864318568596814884586,1,128,6
319,1761960129,71,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761960200,1761961914,1714,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00098454924579305814 --batch_size 64 --hidden_size 2679 --dropout 0.40512062833104001136 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c117,1206954,319_0,COMPLETED,BOTORCH_MODULAR,70.439999999999997726263245567679,112,0.000984549245793058143416676131,64,2679,0.405120628331040011360641983629,1,128,6
320,1761962358,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962402,1761963801,1399,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 289 --hidden_size 512 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c122,1206981,320_0,COMPLETED,BOTORCH_MODULAR,64.85999999999999943156581139192,120,0.001000000000000000020816681712,289,512,0.5,1,128,7
321,1761962356,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962360,1761964252,1892,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00097270343097715522 --batch_size 64 --hidden_size 3870 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1206971,321_0,COMPLETED,BOTORCH_MODULAR,68.180000000000006821210263296962,120,0.000972703430977155223020880204,64,3870,0,1,128,5
322,1761962357,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962380,1761963797,1417,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 292 --hidden_size 512 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c130,1206972,322_0,COMPLETED,BOTORCH_MODULAR,67.21999999999999886313162278384,120,0.001000000000000000020816681712,292,512,0.5,1,128,7
323,1761962357,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962400,1761964421,2021,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00048508825967076054 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c123,1206979,323_0,COMPLETED,BOTORCH_MODULAR,70.299999999999997157829056959599,120,0.000485088259670760535598177388,64,4096,0.5,2,128,5
324,1761962356,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962360,1761964155,1795,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3177 --dropout 0.07460511539117817281 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1206970,324_0,COMPLETED,BOTORCH_MODULAR,69.39000000000000056843418860808,115,0.001000000000000000020816681712,64,3177,0.074605115391178172812303159844,1,128,5
325,1761962356,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962360,1761964250,1890,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00063376685615309581 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1206969,325_0,COMPLETED,BOTORCH_MODULAR,70.560000000000002273736754432321,120,0.000633766856153095809421615936,64,4096,0.5,1,128,5
326,1761962358,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962380,1761964317,1937,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2659 --dropout 0.03462830538011938547 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c124,1206975,326_0,COMPLETED,BOTORCH_MODULAR,67.430000000000006821210263296962,120,0.001000000000000000020816681712,64,2659,0.034628305380119385470383264192,2,128,5
327,1761962357,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962380,1761964265,1885,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00067224629633301568 --batch_size 64 --hidden_size 3801 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1206973,327_0,COMPLETED,BOTORCH_MODULAR,71.060000000000002273736754432321,120,0.000672246296333015675925071086,64,3801,0.5,1,128,5
328,1761962357,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962382,1761964133,1751,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 512 --dropout 0.07362363304993899127 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1206974,328_0,COMPLETED,BOTORCH_MODULAR,69.060000000000002273736754432321,120,0.001000000000000000020816681712,64,512,0.073623633049938991268490440234,1,128,5
329,1761962357,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962421,1761964273,1852,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1772 --dropout 0.05262892016700825015 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c120,1206984,329_0,COMPLETED,BOTORCH_MODULAR,67.700000000000002842170943040401,120,0.001000000000000000020816681712,64,1772,0.052628920167008250152740345129,2,128,5
330,1761962358,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962402,1761964141,1739,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 512 --dropout 0.0186295592333056946 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c122,1206983,330_0,COMPLETED,BOTORCH_MODULAR,65.96999999999999886313162278384,120,0.001000000000000000020816681712,64,512,0.018629559233305694604387880986,2,128,5
331,1761962357,29,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962386,1761963087,701,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 59 --learning_rate 0.00100000000000000002 --batch_size 364 --hidden_size 2473 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c123,1206977,331_0,COMPLETED,BOTORCH_MODULAR,67.849999999999994315658113919199,59,0.001000000000000000020816681712,364,2473,0.5,1,128,7
332,1761962357,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962380,1761963052,672,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 57 --learning_rate 0.00100000000000000002 --batch_size 317 --hidden_size 3326 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c124,1206976,332_0,COMPLETED,BOTORCH_MODULAR,67.85999999999999943156581139192,57,0.001000000000000000020816681712,317,3326,0.5,1,128,7
333,1761962358,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962400,1761964288,1888,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00065918840408527545 --batch_size 64 --hidden_size 3423 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c122,1206982,333_0,COMPLETED,BOTORCH_MODULAR,70.930000000000006821210263296962,120,0.000659188404085275445054570298,64,3423,0.5,1,128,5
334,1761962358,47,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962405,1761964246,1841,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1422 --dropout 0.03233697275933151982 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c123,1206980,334_0,COMPLETED,BOTORCH_MODULAR,66.939999999999997726263245567679,120,0.001000000000000000020816681712,64,1422,0.03233697275933151982219015963,2,128,5
335,1761962358,29,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962387,1761964183,1796,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 582 --dropout 0.01932862438801110153 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c123,1206978,335_0,COMPLETED,BOTORCH_MODULAR,66.560000000000002273736754432321,120,0.001000000000000000020816681712,64,582,0.019328624388011101525863821848,2,128,5
336,1761962360,61,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962421,1761964221,1800,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 593 --dropout 0.05660667555978483867 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c120,1206987,336_0,COMPLETED,BOTORCH_MODULAR,68.17000000000000170530256582424,120,0.001000000000000000020816681712,64,593,0.05660667555978483866940820235,2,128,5
337,1761962360,61,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962421,1761964442,2021,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00047746501666925625 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c120,1206986,337_0,COMPLETED,BOTORCH_MODULAR,70.290000000000006252776074688882,120,0.000477465016669256249719904828,64,4096,0.5,2,128,5
338,1761962360,61,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962421,1761963838,1417,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 286 --hidden_size 512 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c120,1206985,338_0,COMPLETED,BOTORCH_MODULAR,67.25,120,0.001000000000000000020816681712,286,512,0.5,1,128,7
339,1761962363,77,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761962440,1761963085,645,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.00100000000000000002 --batch_size 325 --hidden_size 3864 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c119,1206988,339_0,COMPLETED,BOTORCH_MODULAR,68.180000000000006821210263296962,55,0.001000000000000000020816681712,325,3864,0.5,1,128,7
340,1761964803,9,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964812,1761965786,974,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2412 --dropout 0.06491731609090979627 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207013,340_0,COMPLETED,BOTORCH_MODULAR,68.82999999999999829469743417576,63,0.001000000000000000020816681712,64,2412,0.064917316090909796266750220184,1,128,5
341,1761964804,29,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964833,1761965403,570,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 48 --learning_rate 0.00059908007271175328 --batch_size 385 --hidden_size 3538 --dropout 0.5 --num_dense_layers 1 --filter 113 --num_conv_layers 7,0,,c123,1207021,341_0,COMPLETED,BOTORCH_MODULAR,64.950000000000002842170943040401,48,0.000599080072711753275176149725,385,3538,0.5,1,113,7
342,1761964804,50,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964854,1761965417,563,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 48 --learning_rate 0.00059112223779153562 --batch_size 387 --hidden_size 3016 --dropout 0.5 --num_dense_layers 1 --filter 112 --num_conv_layers 7,0,,c120,1207028,342_0,COMPLETED,BOTORCH_MODULAR,64.78000000000000113686837721616,48,0.000591122237791535617458527074,387,3016,0.5,1,112,7
343,1761964803,9,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964812,1761966716,1904,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.36393360201530988718 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207015,343_0,COMPLETED,BOTORCH_MODULAR,70.909999999999996589394868351519,120,0.001000000000000000020816681712,64,4096,0.363933602015309887178773351479,1,128,5
344,1761964804,29,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964833,1761965846,1013,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00064802139595901778 --batch_size 64 --hidden_size 3676 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207019,344_0,COMPLETED,BOTORCH_MODULAR,70.89000000000000056843418860808,65,0.000648021395959017779304922602,64,3676,0.5,1,128,5
345,1761964804,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964832,1761966724,1892,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.36352522269228726426 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207020,345_0,COMPLETED,BOTORCH_MODULAR,70.650000000000005684341886080801,120,0.001000000000000000020816681712,64,4096,0.363525222692287264258936829719,1,128,5
346,1761964803,10,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964813,1761965383,570,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 48 --learning_rate 0.00059643132315262068 --batch_size 375 --hidden_size 4000 --dropout 0.5 --num_dense_layers 1 --filter 113 --num_conv_layers 7,0,,c141,1207014,346_0,COMPLETED,BOTORCH_MODULAR,65.03000000000000113686837721616,48,0.000596431323152620679328705933,375,4000,0.5,1,113,7
347,1761964804,30,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964834,1761965903,1069,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2655 --dropout 0.04362071464216627642 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1207017,347_0,COMPLETED,BOTORCH_MODULAR,69.150000000000005684341886080801,69,0.001000000000000000020816681712,64,2655,0.043620714642166276420187642771,1,128,5
348,1761964805,27,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964832,1761966738,1906,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.36222512512658538997 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c122,1207023,348_0,COMPLETED,BOTORCH_MODULAR,71.159999999999996589394868351519,120,0.001000000000000000020816681712,64,4096,0.362225125126585389967459605032,1,128,5
349,1761964809,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964857,1761966700,1843,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.37355233524946845902 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c116,1207029,349_0,COMPLETED,BOTORCH_MODULAR,70.75,117,0.001000000000000000020816681712,64,4096,0.373552335249468459021926491914,1,128,5
350,1761964804,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964832,1761965957,1125,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.00066016595945052922 --batch_size 64 --hidden_size 4043 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1207018,350_0,COMPLETED,BOTORCH_MODULAR,70.28000000000000113686837721616,71,0.000660165959450529217338032861,64,4043,0.5,1,128,5
351,1761964804,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964852,1761965089,237,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 3378 --dropout 0.5 --num_dense_layers 2 --filter 72 --num_conv_layers 5,0,,c120,1207025,351_0,COMPLETED,BOTORCH_MODULAR,46.880000000000002557953848736361,20,0.001000000000000000020816681712,1024,3378,0.5,2,72,5
352,1761964804,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964852,1761966707,1855,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 118 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4004 --dropout 0.36610092358229989751 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c120,1207027,352_0,COMPLETED,BOTORCH_MODULAR,70.879999999999995452526491135359,118,0.001000000000000000020816681712,64,4004,0.366100923582299897507397190566,1,128,5
353,1761964805,35,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964840,1761965994,1154,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.0009574146739866927 --batch_size 64 --hidden_size 1898 --dropout 0.17777447138403260074 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c122,1207024,353_0,COMPLETED,BOTORCH_MODULAR,69.950000000000002842170943040401,77,0.000957414673986692701425360585,64,1898,0.177774471384032600740354723712,1,128,5
354,1761964804,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964852,1761965434,582,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 49 --learning_rate 0.00055680286459745831 --batch_size 363 --hidden_size 1776 --dropout 0.5 --num_dense_layers 1 --filter 113 --num_conv_layers 7,0,,c120,1207026,354_0,COMPLETED,BOTORCH_MODULAR,64.689999999999997726263245567679,49,0.000556802864597458310909339207,363,1776,0.5,1,113,7
355,1761964805,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964833,1761965398,565,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 48 --learning_rate 0.00060820111958401473 --batch_size 396 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 111 --num_conv_layers 7,0,,c122,1207022,355_0,COMPLETED,BOTORCH_MODULAR,65.239999999999994884092302527279,48,0.000608201119584014728187970622,396,4096,0.5,1,111,7
356,1761964811,41,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964852,1761966457,1605,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0 --num_dense_layers 1 --filter 16 --num_conv_layers 5,0,,c116,1207030,356_0,COMPLETED,BOTORCH_MODULAR,53.21000000000000085265128291212,120,0.001000000000000000020816681712,64,4096,0,1,16,5
357,1761964811,72,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964883,1761965464,581,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 48 --learning_rate 0.00058524358232542968 --batch_size 382 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 114 --num_conv_layers 7,0,,c115,1207032,357_0,COMPLETED,BOTORCH_MODULAR,64.730000000000003979039320256561,48,0.000585243582325429678031580849,382,4096,0.5,1,114,7
358,1761964811,72,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964883,1761966798,1915,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00078759889533571521 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c115,1207033,358_0,COMPLETED,BOTORCH_MODULAR,71.019999999999996020960679743439,120,0.00078759889533571521193916487,64,4096,0.5,1,128,5
359,1761964815,68,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761964883,1761965894,1011,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00066234454805370955 --batch_size 64 --hidden_size 3350 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c115,1207034,359_0,COMPLETED,BOTORCH_MODULAR,70.21999999999999886313162278384,64,0.000662344548053709551542478362,64,3350,0.5,1,128,5
360,1761967158,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967162,1761967874,712,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 1683 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207066,360_0,COMPLETED,BOTORCH_MODULAR,63.619999999999997442046151263639,65,0.001000000000000000020816681712,1024,1683,0,1,128,5
361,1761967159,49,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967208,1761968953,1745,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3000 --dropout 0.38609698836195460725 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1207073,361_0,COMPLETED,BOTORCH_MODULAR,70.569999999999993178789736703038,113,0.001000000000000000020816681712,64,3000,0.38609698836195460724951544762,1,128,5
362,1761967158,27,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967185,1761968135,950,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 62 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4071 --dropout 0.49236569583533634775 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c118,1207069,362_0,COMPLETED,BOTORCH_MODULAR,69.980000000000003979039320256561,62,0.001000000000000000020816681712,64,4071,0.492365695835336347752075880635,1,128,6
363,1761967158,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967162,1761968171,1009,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00100000000000000002 --batch_size 101 --hidden_size 3876 --dropout 0.3200211957157049758 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c141,1207065,363_0,COMPLETED,BOTORCH_MODULAR,69.180000000000006821210263296962,74,0.001000000000000000020816681712,101,3876,0.320021195715704975803816978441,1,128,6
364,1761967159,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967223,1761968978,1755,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3071 --dropout 0.390871988272967541 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c115,1207078,364_0,COMPLETED,BOTORCH_MODULAR,71.120000000000004547473508864641,113,0.001000000000000000020816681712,64,3071,0.390871988272967541000468827406,1,128,5
365,1761967159,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967207,1761968327,1120,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.00076054369892211964 --batch_size 64 --hidden_size 4017 --dropout 0.33211188200390645564 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c116,1207077,365_0,COMPLETED,BOTORCH_MODULAR,70.269999999999996020960679743439,71,0.000760543698922119641714356675,64,4017,0.332111882003906455640418471376,1,128,5
366,1761967159,27,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967186,1761968763,1577,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 101 --learning_rate 0.0001 --batch_size 64 --hidden_size 2722 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1207071,366_0,COMPLETED,BOTORCH_MODULAR,64.5,101,0.000100000000000000004792173602,64,2722,0.5,1,128,5
367,1761967159,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967207,1761969255,2048,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00071988153875753556 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c117,1207075,367_0,COMPLETED,BOTORCH_MODULAR,70.57999999999999829469743417576,120,0.000719881538757535560831002375,64,4096,0.5,2,128,5
368,1761967159,48,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967207,1761968948,1741,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2842 --dropout 0.38420796451530098148 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1207074,368_0,COMPLETED,BOTORCH_MODULAR,70.57999999999999829469743417576,112,0.001000000000000000020816681712,64,2842,0.384207964515300981478418407278,1,128,5
369,1761967158,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967180,1761967911,731,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 50 --learning_rate 0.00059760136544441758 --batch_size 64 --hidden_size 512 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c120,1207068,369_0,COMPLETED,BOTORCH_MODULAR,67.120000000000004547473508864641,50,0.000597601365444417578949576342,64,512,0,1,128,5
370,1761967159,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967162,1761968930,1768,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00078805195269437424 --batch_size 64 --hidden_size 3960 --dropout 0.5 --num_dense_layers 1 --filter 122 --num_conv_layers 5,0,,c122,1207067,370_0,COMPLETED,BOTORCH_MODULAR,70.629999999999995452526491135359,110,0.00078805195269437424386571589,64,3960,0.5,1,122,5
371,1761967159,21,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967180,1761969072,1892,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.0001187955653811669 --batch_size 64 --hidden_size 3695 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1207070,371_0,COMPLETED,BOTORCH_MODULAR,66.129999999999995452526491135359,120,0.000118795565381166895457809574,64,3695,0.5,1,128,5
372,1761967160,47,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967207,1761968928,1721,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3522 --dropout 0.38971414472660748096 --num_dense_layers 1 --filter 125 --num_conv_layers 5,0,,c117,1207072,372_0,COMPLETED,BOTORCH_MODULAR,71.189999999999997726263245567679,107,0.001000000000000000020816681712,64,3522,0.38971414472660748096188854106,1,125,5
373,1761967159,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967202,1761969035,1833,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00021387317561342195 --batch_size 64 --hidden_size 3687 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c116,1207076,373_0,COMPLETED,BOTORCH_MODULAR,66.599999999999994315658113919199,120,0.000213873175613421947138456658,64,3687,0.5,1,128,7
374,1761967159,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967223,1761969032,1809,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1479 --dropout 0.16689684493980061486 --num_dense_layers 1 --filter 106 --num_conv_layers 5,0,,c115,1207079,374_0,COMPLETED,BOTORCH_MODULAR,69.17000000000000170530256582424,120,0.001000000000000000020816681712,64,1479,0.166896844939800614859848337801,1,106,5
375,1761967160,82,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967242,1761967687,445,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 36 --learning_rate 0.00087401663543925864 --batch_size 196 --hidden_size 1099 --dropout 0.18013745025263061539 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c115,1207080,375_0,COMPLETED,BOTORCH_MODULAR,65.89000000000000056843418860808,36,0.000874016635439258640812021373,196,1099,0.180137450252630615388227397489,1,128,5
376,1761967162,91,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967253,1761969014,1761,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00075935118636655935 --batch_size 64 --hidden_size 3686 --dropout 0.5 --num_dense_layers 1 --filter 121 --num_conv_layers 5,0,,c114,1207082,376_0,COMPLETED,BOTORCH_MODULAR,70.769999999999996020960679743439,109,0.000759351186366559352362848312,64,3686,0.5,1,121,5
377,1761967162,92,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967254,1761968996,1742,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1693 --dropout 0.39700384216158163264 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c114,1207083,377_0,COMPLETED,BOTORCH_MODULAR,69.870000000000004547473508864641,117,0.001000000000000000020816681712,64,1693,0.397003842161581632641542682904,1,128,5
378,1761967162,78,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967240,1761969036,1796,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2262 --dropout 0 --num_dense_layers 1 --filter 89 --num_conv_layers 5,0,,c115,1207081,378_0,COMPLETED,BOTORCH_MODULAR,66.209999999999993747223925311118,120,0.001000000000000000020816681712,64,2262,0,1,89,5
379,1761967171,82,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761967253,1761968228,975,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00073435777088177935 --batch_size 70 --hidden_size 3057 --dropout 0.29147985271701504217 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c114,1207084,379_0,COMPLETED,BOTORCH_MODULAR,70.129999999999995452526491135359,63,0.000734357770881779352636908875,70,3057,0.291479852717015042173898109468,1,128,5
380,1761969664,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969687,1761971589,1902,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00081619099082938225 --batch_size 64 --hidden_size 4096 --dropout 0.42082792644380245806 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207088,380_0,COMPLETED,BOTORCH_MODULAR,71.180000000000006821210263296962,120,0.000816190990829382249406587224,64,4096,0.420827926443802458056353543725,1,128,5
381,1761969664,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969687,1761971639,1952,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00082167224297975379 --batch_size 64 --hidden_size 4096 --dropout 0.42039187269377131795 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207087,381_0,COMPLETED,BOTORCH_MODULAR,70.790000000000006252776074688882,120,0.000821672242979753792574415527,64,4096,0.420391872693771317948119303765,1,128,5
382,1761969664,36,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969700,1761971674,1974,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00058445522841605604 --batch_size 64 --hidden_size 3963 --dropout 0.5 --num_dense_layers 2 --filter 108 --num_conv_layers 5,0,,c130,1207091,382_0,COMPLETED,BOTORCH_MODULAR,69.400000000000005684341886080801,120,0.000584455228416056035353753906,64,3963,0.5,2,108,5
383,1761969663,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969687,1761971579,1892,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00082278495332064174 --batch_size 64 --hidden_size 4096 --dropout 0.41840158360685558714 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207090,383_0,COMPLETED,BOTORCH_MODULAR,70.82999999999999829469743417576,120,0.000822784953320641735709239928,64,4096,0.418401583606855587138539931402,1,128,5
384,1761969664,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969668,1761971587,1919,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00082017672621185914 --batch_size 64 --hidden_size 4096 --dropout 0.4140501952260973173 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207086,384_0,COMPLETED,BOTORCH_MODULAR,71.129999999999995452526491135359,120,0.000820176726211859137040394163,64,4096,0.414050195226097317302560441021,1,128,5
385,1761969663,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969668,1761970348,680,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 61 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 787 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c154,1207085,385_0,COMPLETED,BOTORCH_MODULAR,64.549999999999997157829056959599,61,0.001000000000000000020816681712,1024,787,0.5,1,128,7
386,1761969665,67,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969732,1761971623,1891,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00082370154561320916 --batch_size 64 --hidden_size 4096 --dropout 0.42345633546708838502 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207098,386_0,COMPLETED,BOTORCH_MODULAR,71.189999999999997726263245567679,120,0.000823701545613209160784373708,64,4096,0.423456335467088385016154461482,1,128,5
387,1761969664,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969687,1761971509,1822,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.40107674248233121661 --num_dense_layers 1 --filter 123 --num_conv_layers 5,0,,c141,1207089,387_0,COMPLETED,BOTORCH_MODULAR,70.930000000000006821210263296962,112,0.001000000000000000020816681712,64,4096,0.401076742482331216610447199855,1,123,5
388,1761969664,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969727,1761971533,1806,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3572 --dropout 0.38147050230588158692 --num_dense_layers 1 --filter 122 --num_conv_layers 5,0,,c124,1207095,388_0,COMPLETED,BOTORCH_MODULAR,70.46999999999999886313162278384,113,0.001000000000000000020816681712,64,3572,0.381470502305881586924130033367,1,122,5
389,1761969665,49,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969714,1761971409,1695,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3834 --dropout 0.45144994214102213137 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1207093,389_0,COMPLETED,BOTORCH_MODULAR,70.989999999999994884092302527279,107,0.001000000000000000020816681712,64,3834,0.451449942141022131369965109116,1,128,5
390,1761969664,68,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969732,1761970412,680,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 61 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c124,1207094,390_0,COMPLETED,BOTORCH_MODULAR,65.849999999999994315658113919199,61,0.001000000000000000020816681712,1024,4096,0.5,1,128,7
391,1761969665,95,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969760,1761971070,1310,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3935 --dropout 0.48320973937463584935 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c122,1207102,391_0,COMPLETED,BOTORCH_MODULAR,71.07999999999999829469743417576,82,0.001000000000000000020816681712,64,3935,0.483209739374635849351591332379,1,128,5
392,1761969665,67,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969732,1761970725,993,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00087750868442663553 --batch_size 64 --hidden_size 989 --dropout 0.44031301423130742023 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207097,392_0,COMPLETED,BOTORCH_MODULAR,70.150000000000005684341886080801,66,0.000877508684426635526126814213,64,989,0.440313014231307420232042204589,1,128,5
393,1761969665,82,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969747,1761970486,739,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2011 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c125,1207100,393_0,COMPLETED,BOTORCH_MODULAR,66.019999999999996020960679743439,63,0.001000000000000000020816681712,1024,2011,0.5,1,128,7
394,1761969665,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969727,1761971643,1916,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00081833999941349701 --batch_size 64 --hidden_size 4096 --dropout 0.42004063975023375743 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1207096,394_0,COMPLETED,BOTORCH_MODULAR,70.599999999999994315658113919199,120,0.000818339999413497014638108062,64,4096,0.420040639750233757432340553351,1,128,5
395,1761969665,35,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969700,1761971617,1917,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00082374279755231762 --batch_size 64 --hidden_size 4096 --dropout 0.42168009917458604274 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1207092,395_0,COMPLETED,BOTORCH_MODULAR,71.340000000000003410605131648481,120,0.000823742797552317620145279076,64,4096,0.421680099174586042742873814859,1,128,5
396,1761969667,65,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969732,1761971536,1804,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 114 --learning_rate 0.00100000000000000002 --batch_size 68 --hidden_size 3980 --dropout 0.38893621766803443407 --num_dense_layers 1 --filter 123 --num_conv_layers 5,0,,c123,1207099,396_0,COMPLETED,BOTORCH_MODULAR,71.28000000000000113686837721616,114,0.001000000000000000020816681712,68,3980,0.388936217668034434069568305858,1,123,5
397,1761969667,93,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969760,1761971673,1913,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00081440613131429575 --batch_size 64 --hidden_size 4096 --dropout 0.42490445776850643833 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207101,397_0,COMPLETED,BOTORCH_MODULAR,71.129999999999995452526491135359,120,0.000814406131314295749293319382,64,4096,0.424904457768506438331002073028,1,128,5
398,1761969671,94,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969765,1761971120,1355,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3726 --dropout 0.48948895718210966299 --num_dense_layers 1 --filter 125 --num_conv_layers 5,0,,c122,1207103,398_0,COMPLETED,BOTORCH_MODULAR,71,83,0.001000000000000000020816681712,64,3726,0.489488957182109662991109644281,1,125,5
399,1761969681,79,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761969760,1761971663,1903,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00082372527893699598 --batch_size 64 --hidden_size 4096 --dropout 0.42158077645825126067 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c122,1207104,399_0,COMPLETED,BOTORCH_MODULAR,71.060000000000002273736754432321,120,0.000823725278936995983398994259,64,4096,0.421580776458251260674359173208,1,128,5
400,1761972177,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972200,1761974109,1909,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00072278555159049961 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c154,1207126,400_0,COMPLETED,BOTORCH_MODULAR,71.319999999999993178789736703038,120,0.000722785551590499606745832128,64,4096,0.5,1,128,5
401,1761972178,69,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972247,1761973799,1552,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.49079063472037531835 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1207140,401_0,COMPLETED,BOTORCH_MODULAR,71.400000000000005684341886080801,97,0.001000000000000000020816681712,64,4096,0.490790634720375318345020332345,1,128,5
402,1761972177,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972200,1761973801,1601,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4091 --dropout 0.49627750609303711293 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1207131,402_0,COMPLETED,BOTORCH_MODULAR,70.78000000000000113686837721616,100,0.001000000000000000020816681712,64,4091,0.496277506093037112933075150067,1,128,5
403,1761972178,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972200,1761973499,1299,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 578 --hidden_size 2538 --dropout 0.5 --num_dense_layers 1 --filter 85 --num_conv_layers 7,0,,c152,1207127,403_0,COMPLETED,BOTORCH_MODULAR,64.209999999999993747223925311118,120,0.001000000000000000020816681712,578,2538,0.5,1,85,7
404,1761972179,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972221,1761973561,1340,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 520 --hidden_size 3780 --dropout 0.5 --num_dense_layers 1 --filter 82 --num_conv_layers 7,0,,c145,1207132,404_0,COMPLETED,BOTORCH_MODULAR,63.96000000000000085265128291212,120,0.001000000000000000020816681712,520,3780,0.5,1,82,7
405,1761972178,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972242,1761973882,1640,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4074 --dropout 0.49184646112804153439 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1207138,405_0,COMPLETED,BOTORCH_MODULAR,71.269999999999996020960679743439,102,0.001000000000000000020816681712,64,4074,0.491846461128041534394128575514,1,128,5
406,1761972177,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972200,1761973793,1593,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 94 --learning_rate 0.00057966894270159287 --batch_size 64 --hidden_size 3583 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c149,1207130,406_0,COMPLETED,BOTORCH_MODULAR,70,94,0.000579668942701592874479354922,64,3583,0.5,2,128,5
407,1761972178,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972200,1761973407,1207,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00084539425787928571 --batch_size 64 --hidden_size 3358 --dropout 0.5 --num_dense_layers 1 --filter 126 --num_conv_layers 5,0,,c149,1207129,407_0,COMPLETED,BOTORCH_MODULAR,70.909999999999996589394868351519,75,0.000845394257879285705541139162,64,3358,0.5,1,126,5
408,1761972178,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972240,1761973781,1541,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.48587580696025517435 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207134,408_0,COMPLETED,BOTORCH_MODULAR,70.64000000000000056843418860808,98,0.001000000000000000020816681712,64,4096,0.485875806960255174349327944583,1,128,5
409,1761972177,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972181,1761974127,1946,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00065486198802163116 --batch_size 64 --hidden_size 3110 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 7,0,,c154,1207125,409_0,COMPLETED,BOTORCH_MODULAR,68.799999999999997157829056959599,120,0.000654861988021631161172031454,64,3110,0.5,2,128,7
410,1761972178,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972220,1761973552,1332,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 402 --hidden_size 4065 --dropout 0.5 --num_dense_layers 1 --filter 66 --num_conv_layers 5,0,,c143,1207133,410_0,COMPLETED,BOTORCH_MODULAR,64.540000000000006252776074688882,120,0.001000000000000000020816681712,402,4065,0.5,1,66,5
411,1761972178,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972240,1761974163,1923,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00072852018206284166 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207135,411_0,COMPLETED,BOTORCH_MODULAR,70.540000000000006252776074688882,120,0.000728520182062841661213559163,64,4096,0.5,1,128,5
412,1761972178,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972201,1761974051,1850,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00071252986614204702 --batch_size 64 --hidden_size 1274 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207128,412_0,COMPLETED,BOTORCH_MODULAR,70.150000000000005684341886080801,120,0.000712529866142047022155303626,64,1274,0.5,1,128,5
413,1761972178,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972240,1761974220,1980,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00080288409853043492 --batch_size 64 --hidden_size 3258 --dropout 0.46203618153143027891 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c125,1207139,413_0,COMPLETED,BOTORCH_MODULAR,70.85999999999999943156581139192,120,0.000802884098530434915652609362,64,3258,0.462036181531430278912608855535,1,128,5
414,1761972178,72,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972250,1761973454,1204,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00083899747825279865 --batch_size 64 --hidden_size 3796 --dropout 0.4774474748065216656 --num_dense_layers 1 --filter 123 --num_conv_layers 5,0,,c124,1207141,414_0,COMPLETED,BOTORCH_MODULAR,70.769999999999996020960679743439,74,0.000838997478252798654929645039,64,3796,0.477447474806521665602332404887,1,123,5
415,1761972178,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972240,1761974040,1800,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00053462133561498252 --batch_size 64 --hidden_size 1992 --dropout 0.25621149118816083368 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1207137,415_0,COMPLETED,BOTORCH_MODULAR,69.870000000000004547473508864641,120,0.000534621335614982517644988569,64,1992,0.256211491188160833676334959819,1,128,5
416,1761972180,60,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972240,1761974017,1777,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00065296105022486612 --batch_size 64 --hidden_size 1254 --dropout 0.33685714448867865034 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1207136,416_0,COMPLETED,BOTORCH_MODULAR,69.680000000000006821210263296962,120,0.000652961050224866120829381178,64,1254,0.336857144488678650340318654344,1,128,5
417,1761972190,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972260,1761973624,1364,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 305 --hidden_size 3271 --dropout 0.5 --num_dense_layers 1 --filter 74 --num_conv_layers 5,0,,c124,1207142,417_0,COMPLETED,BOTORCH_MODULAR,65.849999999999994315658113919199,120,0.001000000000000000020816681712,305,3271,0.5,1,74,5
418,1761972190,90,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972280,1761973709,1429,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 94 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2073 --dropout 0.3775422089102462575 --num_dense_layers 1 --filter 124 --num_conv_layers 5,0,,c124,1207143,418_0,COMPLETED,BOTORCH_MODULAR,70.840000000000003410605131648481,94,0.001000000000000000020816681712,64,2073,0.377542208910246257502763000957,1,124,5
419,1761972191,95,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761972286,1761973839,1553,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.47531541595404580569 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207144,419_0,COMPLETED,BOTORCH_MODULAR,71.349999999999994315658113919199,98,0.001000000000000000020816681712,64,4096,0.475315415954045805690952875011,1,128,5
420,1761974709,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974731,1761976708,1977,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.47283547576012657787 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207169,420_0,COMPLETED,BOTORCH_MODULAR,71.310000000000002273736754432321,120,0.001000000000000000020816681712,64,4096,0.472835475760126577871034214695,1,128,5
421,1761974709,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974732,1761976651,1919,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00072371231317895851 --batch_size 64 --hidden_size 4096 --dropout 0.39911748255189238854 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c154,1207167,421_0,COMPLETED,BOTORCH_MODULAR,70.739999999999994884092302527279,120,0.000723712313178958514120475698,64,4096,0.399117482551892388542569278798,1,128,5
422,1761974709,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974731,1761975718,987,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1408 --dropout 0.4193265779019205719 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c151,1207170,422_0,COMPLETED,BOTORCH_MODULAR,70.349999999999994315658113919199,64,0.001000000000000000020816681712,64,1408,0.419326577901920571900262757481,1,128,5
423,1761974709,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974731,1761976459,1728,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.46394524881986631826 --num_dense_layers 1 --filter 124 --num_conv_layers 5,0,,c152,1207168,423_0,COMPLETED,BOTORCH_MODULAR,70.569999999999993178789736703038,109,0.001000000000000000020816681712,64,4096,0.463945248819866318257254533819,1,124,5
424,1761974710,30,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974740,1761976014,1274,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3208 --dropout 0.42780390526013178931 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1207171,424_0,COMPLETED,BOTORCH_MODULAR,70.57999999999999829469743417576,82,0.001000000000000000020816681712,64,3208,0.427803905260131789312083583354,1,128,5
425,1761974709,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974731,1761976722,1991,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00072304884809012678 --batch_size 64 --hidden_size 4096 --dropout 0.40368925151966195131 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c155,1207165,425_0,COMPLETED,BOTORCH_MODULAR,71.67000000000000170530256582424,120,0.000723048848090126778515029926,64,4096,0.403689251519661951306261471473,1,128,5
426,1761974709,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974732,1761976034,1302,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c154,1207166,426_0,COMPLETED,BOTORCH_MODULAR,65.879999999999995452526491135359,120,0.001000000000000000020816681712,1024,4096,0.5,1,128,7
427,1761974709,31,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974740,1761976071,1331,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 1242 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1207172,427_0,COMPLETED,BOTORCH_MODULAR,64.290000000000006252776074688882,120,0.001000000000000000020816681712,1024,1242,0,1,128,5
428,1761974709,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974772,1761976677,1905,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3951 --dropout 0.5 --num_dense_layers 1 --filter 117 --num_conv_layers 5,0,,c145,1207177,428_0,COMPLETED,BOTORCH_MODULAR,70.060000000000002273736754432321,120,0.001000000000000000020816681712,64,3951,0.5,1,117,5
429,1761974709,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974751,1761976189,1438,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 88 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3963 --dropout 0.43477464388333925127 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c147,1207174,429_0,COMPLETED,BOTORCH_MODULAR,71.290000000000006252776074688882,88,0.001000000000000000020816681712,64,3963,0.434774643883339251271280545552,1,128,5
430,1761974710,41,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974751,1761976498,1747,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.44809764776140920128 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1207173,430_0,COMPLETED,BOTORCH_MODULAR,71.090000000000003410605131648481,111,0.001000000000000000020816681712,64,4096,0.448097647761409201283555603368,1,128,5
431,1761974709,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974771,1761976690,1919,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00070343074601877823 --batch_size 64 --hidden_size 4096 --dropout 0.41884765870661522236 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c146,1207175,431_0,COMPLETED,BOTORCH_MODULAR,70.900000000000005684341886080801,120,0.000703430746018778225471523857,64,4096,0.418847658706615222357072525483,1,128,5
432,1761974713,78,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974791,1761976146,1355,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3636 --dropout 0.42253257045938907854 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207182,432_0,COMPLETED,BOTORCH_MODULAR,71.480000000000003979039320256561,86,0.001000000000000000020816681712,64,3636,0.42253257045938907854321087143,1,128,5
433,1761974710,61,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974771,1761976607,1836,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3905 --dropout 0.42690563734280584374 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c145,1207178,433_0,COMPLETED,BOTORCH_MODULAR,71.049999999999997157829056959599,110,0.001000000000000000020816681712,64,3905,0.426905637342805843736925908161,1,128,5
434,1761974712,58,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974770,1761976103,1333,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3017 --dropout 0.4034296020974301733 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207180,434_0,COMPLETED,BOTORCH_MODULAR,71.450000000000002842170943040401,86,0.001000000000000000020816681712,64,3017,0.403429602097430173301972899935,1,128,5
435,1761974709,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974773,1761976809,2036,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3709 --dropout 0.44155713821260772489 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c146,1207176,435_0,COMPLETED,BOTORCH_MODULAR,71.189999999999997726263245567679,120,0.001000000000000000020816681712,64,3709,0.441557138212607724891967109215,1,128,5
436,1761974712,58,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974770,1761975923,1153,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4035 --dropout 0.47281110556730132632 --num_dense_layers 1 --filter 124 --num_conv_layers 5,0,,c143,1207179,436_0,COMPLETED,BOTORCH_MODULAR,70.459999999999993747223925311118,73,0.001000000000000000020816681712,64,4035,0.472811105567301326324525234668,1,124,5
437,1761974712,58,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974770,1761975877,1107,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 68 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4038 --dropout 0.4053456146676689964 --num_dense_layers 1 --filter 121 --num_conv_layers 5,0,,c139,1207181,437_0,COMPLETED,BOTORCH_MODULAR,70.14000000000000056843418860808,68,0.001000000000000000020816681712,64,4038,0.405345614667668996400351488774,1,121,5
438,1761974717,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974793,1761976061,1268,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3327 --dropout 0.41267187937349258942 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1207183,438_0,COMPLETED,BOTORCH_MODULAR,70.840000000000003410605131648481,81,0.001000000000000000020816681712,64,3327,0.412671879373492589415661768726,1,128,5
439,1761974721,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761974791,1761975769,978,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 66 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 843 --dropout 0.44003722624798385921 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c130,1207184,439_0,COMPLETED,BOTORCH_MODULAR,70.150000000000005684341886080801,66,0.001000000000000000020816681712,64,843,0.4400372262479838592064140812,1,128,6
440,1761977313,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977318,1761978305,987,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 3010 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c155,1207186,440_0,COMPLETED,BOTORCH_MODULAR,61.21999999999999886313162278384,87,0.001000000000000000020816681712,1024,3010,0.5,2,128,5
441,1761977314,66,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977380,1761978797,1417,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 89 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207197,441_0,COMPLETED,BOTORCH_MODULAR,70.700000000000002842170943040401,89,0.001000000000000000020816681712,64,4096,0.5,1,128,5
442,1761977314,6,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977320,1761978288,968,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 88 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 1571 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c154,1207188,442_0,COMPLETED,BOTORCH_MODULAR,56.82999999999999829469743417576,88,0.001000000000000000020816681712,1024,1571,0.5,2,128,5
443,1761977313,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977318,1761978797,1479,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 94 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3216 --dropout 0.48454726148884708081 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c154,1207187,443_0,COMPLETED,BOTORCH_MODULAR,70.739999999999994884092302527279,94,0.001000000000000000020816681712,64,3216,0.484547261488847080812547574169,1,128,5
444,1761977314,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977337,1761978730,1393,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 89 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3042 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207191,444_0,COMPLETED,BOTORCH_MODULAR,71.019999999999996020960679743439,89,0.001000000000000000020816681712,64,3042,0.5,1,128,5
445,1761977314,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977342,1761978821,1479,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 94 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3308 --dropout 0.44733222132153677153 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c153,1207189,445_0,COMPLETED,BOTORCH_MODULAR,70.939999999999997726263245567679,94,0.001000000000000000020816681712,64,3308,0.447332221321536771529991938223,1,128,5
446,1761977314,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977378,1761978839,1461,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 89 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1104 --dropout 0.43950197879724983707 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207196,446_0,COMPLETED,BOTORCH_MODULAR,70.900000000000005684341886080801,89,0.001000000000000000020816681712,64,1104,0.439501978797249837072058653575,1,128,5
447,1761977314,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977338,1761978248,910,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 50 --learning_rate 0.00066877497526961953 --batch_size 64 --hidden_size 4096 --dropout 0.48144987235842312545 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c153,1207190,447_0,COMPLETED,BOTORCH_MODULAR,69.400000000000005684341886080801,50,0.000668774975269619529651132783,64,4096,0.481449872358423125451309942946,2,128,5
448,1761977314,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977342,1761978309,967,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2362 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c152,1207192,448_0,COMPLETED,BOTORCH_MODULAR,61.009999999999998010480339871719,87,0.001000000000000000020816681712,1024,2362,0.5,2,128,5
449,1761977315,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977378,1761978495,1117,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 101 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2461 --dropout 0.5 --num_dense_layers 2 --filter 106 --num_conv_layers 7,0,,c147,1207198,449_0,COMPLETED,BOTORCH_MODULAR,63.89000000000000056843418860808,101,0.001000000000000000020816681712,1024,2461,0.5,2,106,7
450,1761977315,36,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977351,1761978739,1388,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4093 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1207194,450_0,COMPLETED,BOTORCH_MODULAR,70.700000000000002842170943040401,87,0.001000000000000000020816681712,64,4093,0.5,1,128,5
451,1761977315,36,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977351,1761978208,857,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.00065065724574757747 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c151,1207193,451_0,COMPLETED,BOTORCH_MODULAR,69.85999999999999943156581139192,53,0.000650657245747577467342992463,64,4096,0.5,1,128,5
452,1761977315,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977378,1761978395,1017,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 3730 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c147,1207199,452_0,COMPLETED,BOTORCH_MODULAR,61.560000000000002273736754432321,86,0.001000000000000000020816681712,1024,3730,0.5,2,128,5
453,1761977315,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977377,1761978272,895,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 60 --learning_rate 0.0007593931692829978 --batch_size 64 --hidden_size 512 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1207195,453_0,COMPLETED,BOTORCH_MODULAR,68.799999999999997157829056959599,60,0.000759393169282997801232404367,64,512,0.5,1,128,5
454,1761977315,67,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977382,1761978341,959,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 4096 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c145,1207202,454_0,COMPLETED,BOTORCH_MODULAR,58.3500000000000014210854715202,86,0.001000000000000000020816681712,1024,4096,0.5,2,128,5
455,1761977315,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977378,1761978383,1005,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 3740 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c146,1207201,455_0,COMPLETED,BOTORCH_MODULAR,60.78000000000000113686837721616,86,0.001000000000000000020816681712,1024,3740,0.5,2,128,5
456,1761977317,65,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977382,1761978339,957,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2113 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c146,1207200,456_0,COMPLETED,BOTORCH_MODULAR,60.6499999999999985789145284798,87,0.001000000000000000020816681712,1024,2113,0.5,2,128,5
457,1761977318,59,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977377,1761978342,965,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2948 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c143,1207204,457_0,COMPLETED,BOTORCH_MODULAR,61.71999999999999886313162278384,87,0.001000000000000000020816681712,1024,2948,0.5,2,128,5
458,1761977318,60,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977378,1761978553,1175,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 80 --learning_rate 0.00100000000000000002 --batch_size 106 --hidden_size 3526 --dropout 0.48388273659139646732 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c145,1207203,458_0,COMPLETED,BOTORCH_MODULAR,70.340000000000003410605131648481,80,0.001000000000000000020816681712,106,3526,0.483882736591396467318304530636,1,128,5
459,1761977321,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761977397,1761978356,959,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2907 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c141,1207205,459_0,COMPLETED,BOTORCH_MODULAR,60.979999999999996873611962655559,86,0.001000000000000000020816681712,1024,2907,0.5,2,128,5
460,1761979568,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979591,1761981510,1919,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00059224358400265841 --batch_size 64 --hidden_size 1730 --dropout 0.47694922535929951124 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c153,1207231,460_0,COMPLETED,BOTORCH_MODULAR,68.650000000000005684341886080801,120,0.000592243584002658408210750807,64,1730,0.476949225359299511239896673942,1,128,6
461,1761979568,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979632,1761980828,1196,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 80 --learning_rate 0.0007145873177156868 --batch_size 64 --hidden_size 1570 --dropout 0.41513072266222317275 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c151,1207234,461_0,COMPLETED,BOTORCH_MODULAR,69.67000000000000170530256582424,80,0.000714587317715686802001295863,64,1570,0.41513072266222317274753095262,1,128,6
462,1761979569,84,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979653,1761980938,1285,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00070739781011692224 --batch_size 64 --hidden_size 570 --dropout 0.3690822631532580389 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c146,1207241,462_0,COMPLETED,BOTORCH_MODULAR,68.689999999999997726263245567679,86,0.000707397810116922238533876399,64,570,0.369082263153258038901327608983,1,128,6
463,1761979567,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979591,1761980797,1206,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00070872852062511219 --batch_size 64 --hidden_size 1614 --dropout 0.42549361655344425381 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c153,1207230,463_0,COMPLETED,BOTORCH_MODULAR,69.909999999999996589394868351519,81,0.000708728520625112189297578613,64,1614,0.425493616553444253813864861513,1,128,6
464,1761979568,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979632,1761980876,1244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00068935112065759594 --batch_size 64 --hidden_size 2180 --dropout 0.46615336895162434727 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c152,1207233,464_0,COMPLETED,BOTORCH_MODULAR,69.950000000000002842170943040401,81,0.000689351120657595941611239798,64,2180,0.466153368951624347271689430272,1,128,6
465,1761979567,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979572,1761980792,1220,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.0007039828102032139 --batch_size 64 --hidden_size 1629 --dropout 0.43945785595456549055 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c154,1207229,465_0,COMPLETED,BOTORCH_MODULAR,69.450000000000002842170943040401,81,0.000703982810203213895880458573,64,1629,0.43945785595456549055271011639,1,128,6
466,1761979568,69,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979637,1761980858,1221,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00071634158813906968 --batch_size 64 --hidden_size 1492 --dropout 0.42526723897268386976 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c148,1207238,466_0,COMPLETED,BOTORCH_MODULAR,69.82999999999999829469743417576,82,0.000716341588139069677249048951,64,1492,0.425267238972683869757673846834,1,128,6
467,1761979568,65,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979633,1761980860,1227,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00071286971464766319 --batch_size 64 --hidden_size 1629 --dropout 0.43041343222275851854 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c149,1207236,467_0,COMPLETED,BOTORCH_MODULAR,70.010000000000005115907697472721,81,0.000712869714647663185042025802,64,1629,0.430413432222758518541638750321,1,128,6
468,1761979567,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979571,1761980886,1315,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 84 --learning_rate 0.00069982530024436469 --batch_size 64 --hidden_size 1841 --dropout 0.43704337056985514964 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c155,1207227,468_0,COMPLETED,BOTORCH_MODULAR,69.099999999999994315658113919199,84,0.000699825300244364691647225296,64,1841,0.437043370569855149643245795232,1,128,6
469,1761979568,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979632,1761980969,1337,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00071003530514621562 --batch_size 64 --hidden_size 1568 --dropout 0.42822493910184306065 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c148,1207237,469_0,COMPLETED,BOTORCH_MODULAR,70.540000000000006252776074688882,81,0.000710035305146215615403060273,64,1568,0.428224939101843060651475525447,1,128,6
470,1761979568,34,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979602,1761980852,1250,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 84 --learning_rate 0.00070589694325614931 --batch_size 64 --hidden_size 1654 --dropout 0.4443872828732394753 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c152,1207232,470_0,COMPLETED,BOTORCH_MODULAR,69.510000000000005115907697472721,84,0.000705896943256149314235847747,64,1654,0.444387282873239475300408685143,1,128,6
471,1761979569,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979631,1761980853,1222,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00070821702575040791 --batch_size 64 --hidden_size 1741 --dropout 0.43227190335758453044 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c147,1207239,471_0,COMPLETED,BOTORCH_MODULAR,69.819999999999993178789736703038,81,0.000708217025750407908578354377,64,1741,0.432271903357584530436241720963,1,128,6
472,1761979569,85,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979654,1761980981,1327,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00068075861599519144 --batch_size 64 --hidden_size 2231 --dropout 0.48168186728173773004 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c146,1207242,472_0,COMPLETED,BOTORCH_MODULAR,70.099999999999994315658113919199,82,0.000680758615995191436291722464,64,2231,0.481681867281737730035473532553,1,128,6
473,1761979567,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979572,1761980785,1213,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00071216975951394091 --batch_size 64 --hidden_size 1491 --dropout 0.42406869651135281618 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c154,1207228,473_0,COMPLETED,BOTORCH_MODULAR,69.5,81,0.000712169759513940907498519284,64,1491,0.424068696511352816180817626446,1,128,6
474,1761979569,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979631,1761980883,1252,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00067577903445273607 --batch_size 64 --hidden_size 2262 --dropout 0.45948064690366308138 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c149,1207235,474_0,COMPLETED,BOTORCH_MODULAR,69.75,83,0.00067577903445273606979071257,64,2262,0.459480646903663081381807842263,1,128,6
475,1761979569,64,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979633,1761980985,1352,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00071547141327442843 --batch_size 64 --hidden_size 1338 --dropout 0.41737610257241963829 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c147,1207240,475_0,COMPLETED,BOTORCH_MODULAR,69.620000000000004547473508864641,83,0.000715471413274428426690154659,64,1338,0.417376102572419638292444687977,1,128,6
476,1761979572,82,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979654,1761980993,1339,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00069532093377501893 --batch_size 71 --hidden_size 1680 --dropout 0.43368215765430029318 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c145,1207244,476_0,COMPLETED,BOTORCH_MODULAR,69.189999999999997726263245567679,87,0.000695320933775018927038014116,71,1680,0.433682157654300293181393044506,1,128,6
477,1761979572,90,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979662,1761980862,1200,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00071033320420845099 --batch_size 64 --hidden_size 1514 --dropout 0.42471409240602370216 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c143,1207245,477_0,COMPLETED,BOTORCH_MODULAR,70.060000000000002273736754432321,81,0.000710333204208450988415002314,64,1514,0.4247140924060237021642194577,1,128,6
478,1761979572,83,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979655,1761980777,1122,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00070593529101636615 --batch_size 72 --hidden_size 1466 --dropout 0.42699793196543150975 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c145,1207243,478_0,COMPLETED,BOTORCH_MODULAR,69.400000000000005684341886080801,77,0.000705935291016366152708205739,72,1466,0.426997931965431509748754024258,1,128,6
479,1761979580,81,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761979661,1761980978,1317,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00063133405007053008 --batch_size 102 --hidden_size 2284 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c141,1207246,479_0,COMPLETED,BOTORCH_MODULAR,68.900000000000005684341886080801,97,0.000631334050070530075626784594,102,2284,0.5,1,128,6
480,1761982234,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982239,1761983389,1150,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 76 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2414 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c154,1207250,480_0,COMPLETED,BOTORCH_MODULAR,70.299999999999997157829056959599,76,0.001000000000000000020816681712,64,2414,0.5,1,128,6
481,1761982235,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982259,1761983549,1290,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2226 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c147,1207261,481_0,COMPLETED,BOTORCH_MODULAR,70.400000000000005684341886080801,77,0.001000000000000000020816681712,64,2226,0.5,1,128,6
482,1761982234,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982258,1761983491,1233,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 79 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 559 --dropout 0.25268164487383737438 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c153,1207253,482_0,COMPLETED,BOTORCH_MODULAR,69.680000000000006821210263296962,79,0.001000000000000000020816681712,64,559,0.252681644873837374376535080955,1,128,5
483,1761982234,27,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982261,1761983665,1404,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1792 --dropout 0.33040791882650960565 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207258,483_0,COMPLETED,BOTORCH_MODULAR,70.239999999999994884092302527279,86,0.001000000000000000020816681712,64,1792,0.330407918826509605647601119927,1,128,5
484,1761982234,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982239,1761983429,1190,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 79 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1380 --dropout 0.27756685849921425291 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c154,1207251,484_0,COMPLETED,BOTORCH_MODULAR,70.040000000000006252776074688882,79,0.001000000000000000020816681712,64,1380,0.277566858499214252908871003456,1,128,6
485,1761982236,36,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982272,1761984148,1876,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00078525251711537381 --batch_size 64 --hidden_size 3125 --dropout 0.39321119849227154086 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c146,1207262,485_0,COMPLETED,BOTORCH_MODULAR,70.870000000000004547473508864641,120,0.000785252517115373805701994403,64,3125,0.393211198492271540860798495487,1,128,5
486,1761982234,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982258,1761983440,1182,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1267 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 7,0,,c153,1207252,486_0,COMPLETED,BOTORCH_MODULAR,68.730000000000003979039320256561,75,0.001000000000000000020816681712,64,1267,0.5,2,128,7
487,1761982234,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982239,1761983426,1187,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 772 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c155,1207249,487_0,COMPLETED,BOTORCH_MODULAR,69.42000000000000170530256582424,74,0.001000000000000000020816681712,64,772,0.5,1,128,7
488,1761982235,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982259,1761983310,1051,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2040 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c151,1207256,488_0,COMPLETED,BOTORCH_MODULAR,70.82999999999999829469743417576,70,0.001000000000000000020816681712,64,2040,0.5,1,128,6
489,1761982234,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982259,1761983382,1123,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 928 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c152,1207255,489_0,COMPLETED,BOTORCH_MODULAR,69.680000000000006821210263296962,72,0.001000000000000000020816681712,64,928,0.5,1,128,7
490,1761982235,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982259,1761984073,1814,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00061382076709944316 --batch_size 64 --hidden_size 3888 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c152,1207254,490_0,COMPLETED,BOTORCH_MODULAR,69.939999999999997726263245567679,120,0.000613820767099443158343330396,64,3888,0.5,1,128,6
491,1761982235,39,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982274,1761983476,1202,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2112 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c146,1207263,491_0,COMPLETED,BOTORCH_MODULAR,70.5,73,0.001000000000000000020816681712,64,2112,0.5,1,128,6
492,1761982235,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982259,1761983372,1113,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 72 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1227 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c149,1207257,492_0,COMPLETED,BOTORCH_MODULAR,69.25,72,0.001000000000000000020816681712,64,1227,0.5,1,128,7
493,1761982236,36,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982272,1761983391,1119,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2272 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c145,1207264,493_0,COMPLETED,BOTORCH_MODULAR,69.879999999999995452526491135359,75,0.001000000000000000020816681712,64,2272,0.5,1,128,6
494,1761982236,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982259,1761984096,1837,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1529 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 6,0,,c147,1207260,494_0,COMPLETED,BOTORCH_MODULAR,69.049999999999997157829056959599,120,0.001000000000000000020816681712,64,1529,0.5,2,128,6
495,1761982236,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982258,1761983443,1185,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 79 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2203 --dropout 0.36614926087330978977 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207259,495_0,COMPLETED,BOTORCH_MODULAR,70.299999999999997157829056959599,79,0.001000000000000000020816681712,64,2203,0.366149260873309789765528421412,1,128,5
496,1761982239,39,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982278,1761983581,1303,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 85 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2191 --dropout 0.36068801161348285067 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207267,496_0,COMPLETED,BOTORCH_MODULAR,71.03000000000000113686837721616,85,0.001000000000000000020816681712,64,2191,0.360688011613482850670209245436,1,128,5
497,1761982239,35,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982274,1761984047,1773,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 118 --learning_rate 0.0006184985987599265 --batch_size 84 --hidden_size 4023 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c145,1207265,497_0,COMPLETED,BOTORCH_MODULAR,69.840000000000003410605131648481,118,0.000618498598759926500323391707,84,4023,0.5,1,128,6
498,1761982239,32,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982271,1761983552,1281,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 581 --hidden_size 512 --dropout 0 --num_dense_layers 1 --filter 73 --num_conv_layers 5,0,,c143,1207266,498_0,COMPLETED,BOTORCH_MODULAR,61.35999999999999943156581139192,120,0.001000000000000000020816681712,581,512,0,1,73,5
499,1761982241,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761982283,1761983479,1196,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 76 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2271 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 7,0,,c141,1207268,499_0,COMPLETED,BOTORCH_MODULAR,68.870000000000004547473508864641,76,0.001000000000000000020816681712,64,2271,0.5,2,128,7
500,1761984891,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984895,1761986774,1879,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00087018901911279148 --batch_size 64 --hidden_size 3125 --dropout 0.40176144960128723493 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c154,1207291,500_0,COMPLETED,BOTORCH_MODULAR,70.930000000000006821210263296962,120,0.00087018901911279148125161198,64,3125,0.401761449601287234933977288165,1,128,5
501,1761984891,20,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984911,1761986254,1343,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 94 --learning_rate 0.00064101194085889517 --batch_size 64 --hidden_size 512 --dropout 0 --num_dense_layers 1 --filter 96 --num_conv_layers 5,0,,c153,1207293,501_0,COMPLETED,BOTORCH_MODULAR,65.590000000000003410605131648481,94,0.000641011940858895166474307192,64,512,0,1,96,5
502,1761984892,80,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984972,1761987100,2128,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00058531907674251517 --batch_size 64 --hidden_size 3298 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c146,1207304,502_0,COMPLETED,BOTORCH_MODULAR,69.760000000000005115907697472721,120,0.000585319076742515172380454391,64,3298,0.5,2,128,5
503,1761984891,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984894,1761986851,1957,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00055993924982998349 --batch_size 64 --hidden_size 2462 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c155,1207290,503_0,COMPLETED,BOTORCH_MODULAR,69.439999999999997726263245567679,120,0.000559939249829983489922802242,64,2462,0.5,2,128,5
504,1761984891,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984935,1761986512,1577,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2824 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c151,1207297,504_0,COMPLETED,BOTORCH_MODULAR,70.540000000000006252776074688882,102,0.001000000000000000020816681712,64,2824,0.5,1,128,5
505,1761984891,21,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984912,1761986963,2051,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00060493511676662319 --batch_size 65 --hidden_size 3173 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c153,1207294,505_0,COMPLETED,BOTORCH_MODULAR,69.57999999999999829469743417576,120,0.000604935116766623193033936001,65,3173,0.5,2,128,5
506,1761984892,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984934,1761986778,1844,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00085992863614340611 --batch_size 64 --hidden_size 2411 --dropout 0.34747763378875118345 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207295,506_0,COMPLETED,BOTORCH_MODULAR,70.200000000000002842170943040401,120,0.000859928636143406110482756421,64,2411,0.347477633788751183452347959246,1,128,5
507,1761984893,80,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984973,1761986872,1899,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00059213707578621927 --batch_size 64 --hidden_size 2644 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c145,1207305,507_0,COMPLETED,BOTORCH_MODULAR,69.870000000000004547473508864641,120,0.000592137075786219272549582016,64,2644,0.5,2,128,5
508,1761984893,41,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984934,1761986805,1871,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00084407827771010454 --batch_size 64 --hidden_size 2821 --dropout 0.36379202218987949369 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1207298,508_0,COMPLETED,BOTORCH_MODULAR,70.67000000000000170530256582424,120,0.000844078277710104537753799114,64,2821,0.363792022189879493687669764768,1,128,5
509,1761984891,20,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984911,1761986808,1897,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00083864317306989124 --batch_size 64 --hidden_size 2928 --dropout 0.40806632819626176278 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c154,1207292,509_0,COMPLETED,BOTORCH_MODULAR,71.400000000000005684341886080801,120,0.00083864317306989123648047757,64,2928,0.408066328196261762784047277819,1,128,5
510,1761984892,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984934,1761986868,1934,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00083762028225122887 --batch_size 64 --hidden_size 3691 --dropout 0.41733613519077950027 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207296,510_0,COMPLETED,BOTORCH_MODULAR,71.010000000000005115907697472721,120,0.000837620282251228865690040326,64,3691,0.417336135190779500270252810878,1,128,5
511,1761984892,80,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984972,1761986859,1887,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3486 --dropout 0.49907087891524998247 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c146,1207303,511_0,COMPLETED,BOTORCH_MODULAR,70.17000000000000170530256582424,120,0.001000000000000000020816681712,64,3486,0.499070878915249982465951461563,1,128,5
512,1761984893,61,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984954,1761987013,2059,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00067803431482069479 --batch_size 64 --hidden_size 3558 --dropout 0.38416608818275632675 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c147,1207302,512_0,COMPLETED,BOTORCH_MODULAR,70.439999999999997726263245567679,120,0.000678034314820694788972232914,64,3558,0.384166088182756326752098630095,1,128,5
513,1761984893,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984936,1761986701,1765,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00076752198269364495 --batch_size 64 --hidden_size 512 --dropout 0.30491624188350335833 --num_dense_layers 1 --filter 111 --num_conv_layers 5,0,,c148,1207300,513_0,COMPLETED,BOTORCH_MODULAR,68.950000000000002842170943040401,120,0.000767521982693644948952949036,64,512,0.304916241883503358334195354473,1,111,5
514,1761984893,41,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984934,1761987122,2188,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.0005948168679956277 --batch_size 64 --hidden_size 3382 --dropout 0.44568362567872460422 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c148,1207299,514_0,COMPLETED,BOTORCH_MODULAR,70.909999999999996589394868351519,120,0.000594816867995627703534500252,64,3382,0.445683625678724604224356653503,2,128,5
515,1761984893,49,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984942,1761986735,1793,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 512 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c147,1207301,515_0,COMPLETED,BOTORCH_MODULAR,69.879999999999995452526491135359,120,0.001000000000000000020816681712,64,512,0.5,1,128,5
516,1761984895,77,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984972,1761986916,1944,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00091130472811521963 --batch_size 64 --hidden_size 2297 --dropout 0.38798401307858254583 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c145,1207306,516_0,COMPLETED,BOTORCH_MODULAR,70.689999999999997726263245567679,120,0.000911304728115219634700105988,64,2297,0.387984013078582545830386152375,1,128,5
517,1761984895,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984971,1761986574,1603,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3617 --dropout 0.41741650226810877999 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207307,517_0,COMPLETED,BOTORCH_MODULAR,71.650000000000005684341886080801,103,0.001000000000000000020816681712,64,3617,0.417416502268108779993838197697,1,128,5
518,1761984904,69,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984973,1761986649,1676,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2811 --dropout 0.34844255241831423309 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207308,518_0,COMPLETED,BOTORCH_MODULAR,70.67000000000000170530256582424,108,0.001000000000000000020816681712,64,2811,0.34844255241831423308696003005,1,128,5
519,1761984904,67,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761984971,1761986852,1881,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00086302014572560979 --batch_size 64 --hidden_size 3055 --dropout 0.40060554754185823123 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207309,519_0,COMPLETED,BOTORCH_MODULAR,70.620000000000004547473508864641,120,0.000863020145725609789076615552,64,3055,0.40060554754185823123080467667,1,128,5
520,1761987967,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761987971,1761989334,1363,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.0008556993697491701 --batch_size 64 --hidden_size 3906 --dropout 0.44229057991491110835 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c155,1207316,520_0,COMPLETED,BOTORCH_MODULAR,70.799999999999997157829056959599,83,0.000855699369749170104908209122,64,3906,0.442290579914911108350139556933,1,128,5
521,1761987967,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761987991,1761989358,1367,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2207 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c153,1207319,521_0,COMPLETED,BOTORCH_MODULAR,62.71999999999999886313162278384,120,0.001000000000000000020816681712,1024,2207,0,1,128,7
522,1761987968,33,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988001,1761989244,1243,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1933 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207325,522_0,COMPLETED,BOTORCH_MODULAR,71.10999999999999943156581139192,82,0.001000000000000000020816681712,64,1933,0.5,1,128,5
523,1761987967,40,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988007,1761989999,1992,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 736 --dropout 0.13258369037917980271 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c147,1207327,523_0,COMPLETED,BOTORCH_MODULAR,68.269999999999996020960679743439,120,0.001000000000000000020816681712,64,736,0.132583690379179802709685986883,1,128,7
524,1761987967,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761987992,1761990052,2060,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4055 --dropout 0.40770307785060244665 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207324,524_0,COMPLETED,BOTORCH_MODULAR,71.200000000000002842170943040401,120,0.001000000000000000020816681712,64,4055,0.407703077850602446652317212283,1,128,5
525,1761987967,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761987972,1761988973,1001,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00087710312262566186 --batch_size 64 --hidden_size 2795 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c154,1207317,525_0,COMPLETED,BOTORCH_MODULAR,70.819999999999993178789736703038,63,0.000877103122625661857196532889,64,2795,0.5,1,128,5
526,1761987967,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761987992,1761989914,1922,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00092522717351057986 --batch_size 64 --hidden_size 3653 --dropout 0.38220860482571750172 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207321,526_0,COMPLETED,BOTORCH_MODULAR,70.57999999999999829469743417576,120,0.000925227173510579856130497944,64,3653,0.382208604825717501718429502944,1,128,5
527,1761987968,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761987992,1761989898,1906,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.41018412677886650908 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c151,1207322,527_0,COMPLETED,BOTORCH_MODULAR,71.310000000000002273736754432321,120,0.001000000000000000020816681712,64,4096,0.410184126778866509077658975002,1,128,5
528,1761987968,34,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988002,1761988246,244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 20 --learning_rate 0.00100000000000000002 --batch_size 235 --hidden_size 512 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c145,1207330,528_0,COMPLETED,BOTORCH_MODULAR,56.8500000000000014210854715202,20,0.001000000000000000020816681712,235,512,0.5,1,128,7
529,1761987967,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988011,1761989231,1220,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00082202780961629915 --batch_size 64 --hidden_size 2368 --dropout 0.36855112226317893187 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c145,1207331,529_0,COMPLETED,BOTORCH_MODULAR,70.510000000000005115907697472721,75,0.000822027809616299154869822896,64,2368,0.368551122263178931870442056606,1,128,5
530,1761987967,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761987992,1761989290,1298,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2131 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c152,1207320,530_0,COMPLETED,BOTORCH_MODULAR,63.03000000000000113686837721616,120,0.001000000000000000020816681712,1024,2131,0,1,128,7
531,1761987969,33,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988002,1761989543,1541,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 90 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3894 --dropout 0.39763439889503127134 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c146,1207329,531_0,COMPLETED,BOTORCH_MODULAR,70.930000000000006821210263296962,90,0.001000000000000000020816681712,64,3894,0.397634398895031271337074940675,1,128,5
532,1761987968,34,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988002,1761989251,1249,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.0008045642166389814 --batch_size 64 --hidden_size 1695 --dropout 0.34092825492505207663 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c146,1207328,532_0,COMPLETED,BOTORCH_MODULAR,70.209999999999993747223925311118,83,0.000804564216638981402097974271,64,1695,0.340928254925052076629299335764,1,128,5
533,1761987967,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761987972,1761989264,1292,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00087942073234640716 --batch_size 64 --hidden_size 3522 --dropout 0.43993137667708437366 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c154,1207318,533_0,COMPLETED,BOTORCH_MODULAR,70.870000000000004547473508864641,81,0.000879420732346407156565515351,64,3522,0.43993137667708437366087537157,1,128,5
534,1761987968,34,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988002,1761989244,1242,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 684 --dropout 0.5 --num_dense_layers 1 --filter 116 --num_conv_layers 6,0,,c147,1207326,534_0,COMPLETED,BOTORCH_MODULAR,69.129999999999995452526491135359,83,0.001000000000000000020816681712,64,684,0.5,1,116,6
535,1761987968,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761987991,1761988868,877,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00076850543113670257 --batch_size 64 --hidden_size 2431 --dropout 0.43933478711925344484 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1207323,535_0,COMPLETED,BOTORCH_MODULAR,69.89000000000000056843418860808,56,0.000768505431136702566938256886,64,2431,0.439334787119253444842570388573,1,128,5
536,1761987972,39,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988011,1761989289,1278,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 81 --learning_rate 0.00088506389664990911 --batch_size 64 --hidden_size 3977 --dropout 0.46493020696833126104 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207332,536_0,COMPLETED,BOTORCH_MODULAR,70.730000000000003979039320256561,81,0.000885063896649909112764043062,64,3977,0.464930206968331261041527113775,1,128,5
537,1761987972,39,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988011,1761989928,1917,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00088003498767347179 --batch_size 64 --hidden_size 4096 --dropout 0.44002841232929490456 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207333,537_0,COMPLETED,BOTORCH_MODULAR,71.299999999999997157829056959599,120,0.000880034987673471787335277572,64,4096,0.440028412329294904559162660007,1,128,5
538,1761987972,39,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988011,1761989498,1487,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00086018800079588377 --batch_size 64 --hidden_size 1741 --dropout 0.34733127961527870964 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207334,538_0,COMPLETED,BOTORCH_MODULAR,70.959999999999993747223925311118,99,0.000860188000795883769833416466,64,1741,0.347331279615278709638204190924,1,128,5
539,1761987974,37,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761988011,1761989547,1536,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00080231897298041303 --batch_size 64 --hidden_size 2627 --dropout 0.31930435455585609583 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1207335,539_0,COMPLETED,BOTORCH_MODULAR,70.879999999999995452526491135359,99,0.000802318972980413033790902944,64,2627,0.319304354555856095831956054099,1,128,5
540,1761990885,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990889,1761992288,1399,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 444 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c155,1207344,540_0,COMPLETED,BOTORCH_MODULAR,67.629999999999995452526491135359,120,0.001000000000000000020816681712,444,4096,0.5,1,128,7
541,1761990885,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990909,1761992309,1400,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 957 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207350,541_0,COMPLETED,BOTORCH_MODULAR,69.980000000000003979039320256561,86,0.001000000000000000020816681712,64,957,0.5,1,128,5
542,1761990886,82,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990968,1761992300,1332,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 85 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2389 --dropout 0.46397506319609083114 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207359,542_0,COMPLETED,BOTORCH_MODULAR,70.819999999999993178789736703038,85,0.001000000000000000020816681712,64,2389,0.463975063196090831141304988705,1,128,5
543,1761990886,56,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990942,1761992314,1372,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 442 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c146,1207354,543_0,COMPLETED,BOTORCH_MODULAR,68.39000000000000056843418860808,120,0.001000000000000000020816681712,442,4096,0.5,1,128,7
544,1761990885,57,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990942,1761992638,1696,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1963 --dropout 0.38037849966061337836 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c146,1207355,544_0,COMPLETED,BOTORCH_MODULAR,70.510000000000005115907697472721,104,0.001000000000000000020816681712,64,1963,0.380378499660613378363649417224,1,128,5
545,1761990885,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990909,1761992586,1677,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 512 --dropout 0.33930295738450011456 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c151,1207348,545_0,COMPLETED,BOTORCH_MODULAR,70.379999999999995452526491135359,115,0.001000000000000000020816681712,64,512,0.339302957384500114557113192859,1,128,5
546,1761990886,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990908,1761992812,1904,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.40517970025626104391 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c153,1207347,546_0,COMPLETED,BOTORCH_MODULAR,70.450000000000002842170943040401,113,0.001000000000000000020816681712,64,4096,0.405179700256261043911365504755,1,128,5
547,1761990885,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990929,1761992840,1911,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 114 --learning_rate 0.00061877872971943196 --batch_size 64 --hidden_size 3905 --dropout 0.5 --num_dense_layers 1 --filter 79 --num_conv_layers 5,0,,c147,1207353,547_0,COMPLETED,BOTORCH_MODULAR,67.909999999999996589394868351519,114,0.000618778729719431964950704383,64,3905,0.5,1,79,5
548,1761990885,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990909,1761992131,1222,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 76 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c154,1207345,548_0,COMPLETED,BOTORCH_MODULAR,70.980000000000003979039320256561,76,0.001000000000000000020816681712,64,4096,0.5,1,128,5
549,1761990885,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990929,1761992036,1107,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3432 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c147,1207352,549_0,COMPLETED,BOTORCH_MODULAR,70.650000000000005684341886080801,70,0.001000000000000000020816681712,64,3432,0.5,1,128,5
550,1761990885,26,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990911,1761991975,1064,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2769 --dropout 0.41627877125539097802 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207351,550_0,COMPLETED,BOTORCH_MODULAR,71.060000000000002273736754432321,69,0.001000000000000000020816681712,64,2769,0.416278771255390978023314119127,1,128,5
551,1761990885,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990909,1761992288,1379,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 393 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c154,1207346,551_0,COMPLETED,BOTORCH_MODULAR,67.92000000000000170530256582424,120,0.001000000000000000020816681712,393,4096,0.5,1,128,7
552,1761990886,59,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990945,1761992693,1748,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00078833586285610257 --batch_size 64 --hidden_size 4096 --dropout 0.47330211635616059596 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c145,1207356,552_0,COMPLETED,BOTORCH_MODULAR,71,110,0.00078833586285610257431144543,64,4096,0.47330211635616059595577098662,1,128,5
553,1761990886,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990908,1761992034,1126,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2765 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c149,1207349,553_0,COMPLETED,BOTORCH_MODULAR,70.120000000000004547473508864641,73,0.001000000000000000020816681712,64,2765,0.5,1,128,5
554,1761990886,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990948,1761992110,1162,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3141 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207358,554_0,COMPLETED,BOTORCH_MODULAR,70.939999999999997726263245567679,75,0.001000000000000000020816681712,64,3141,0.5,1,128,5
555,1761990886,56,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990942,1761992129,1187,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2723 --dropout 0.49612228976982924999 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c145,1207357,555_0,COMPLETED,BOTORCH_MODULAR,70.67000000000000170530256582424,73,0.001000000000000000020816681712,64,2723,0.49612228976982924999461488369,1,128,5
556,1761990887,81,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990968,1761991892,924,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2256 --dropout 0 --num_dense_layers 1 --filter 83 --num_conv_layers 5,0,,c143,1207360,556_0,COMPLETED,BOTORCH_MODULAR,61.270000000000003126388037344441,87,0.001000000000000000020816681712,1024,2256,0,1,83,5
557,1761990892,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990968,1761992736,1768,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00054263892821041306 --batch_size 80 --hidden_size 2951 --dropout 0.06550640807818176869 --num_dense_layers 1 --filter 102 --num_conv_layers 5,0,,c141,1207361,557_0,COMPLETED,BOTORCH_MODULAR,66.78000000000000113686837721616,120,0.000542638928210413063260575406,80,2951,0.065506408078181768694925324326,1,102,5
558,1761990898,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990968,1761992117,1149,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00090106118192277891 --batch_size 64 --hidden_size 2424 --dropout 0.43162873204953194906 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1207363,558_0,COMPLETED,BOTORCH_MODULAR,70.650000000000005684341886080801,75,0.000901061181922778908943982845,64,2424,0.431628732049531949055420909644,1,128,5
559,1761990898,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761990968,1761991904,936,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 2700 --dropout 0 --num_dense_layers 1 --filter 82 --num_conv_layers 5,0,,c141,1207362,559_0,COMPLETED,BOTORCH_MODULAR,62.67000000000000170530256582424,87,0.001000000000000000020816681712,1024,2700,0,1,82,5
560,1761993735,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993760,1761995438,1678,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3436 --dropout 0.32282602081074923683 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207379,560_0,COMPLETED,BOTORCH_MODULAR,70.900000000000005684341886080801,99,0.001000000000000000020816681712,64,3436,0.322826020810749236833459008267,1,128,5
561,1761993736,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993779,1761995450,1671,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00088260108796725577 --batch_size 64 --hidden_size 1279 --dropout 0.39089826051539872109 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207386,561_0,COMPLETED,BOTORCH_MODULAR,70.769999999999996020960679743439,113,0.000882601087967255768830521223,64,1279,0.390898260515398721093305312024,1,128,5
562,1761993737,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993760,1761995648,1888,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00068547727336886323 --batch_size 64 --hidden_size 4096 --dropout 0.46058245835663452761 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c146,1207383,562_0,COMPLETED,BOTORCH_MODULAR,70.849999999999994315658113919199,111,0.000685477273368863227950842365,64,4096,0.460582458356634527607553764028,1,128,5
563,1761993735,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993740,1761995341,1601,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00087713771654982832 --batch_size 64 --hidden_size 2984 --dropout 0.44122585861434188148 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c151,1207378,563_0,COMPLETED,BOTORCH_MODULAR,70.75,103,0.000877137716549828316998926869,64,2984,0.44122585861434188148066937174,1,128,5
564,1761993735,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993740,1761995680,1940,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00071783659205501983 --batch_size 64 --hidden_size 3679 --dropout 0.44277224860989594646 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207377,564_0,COMPLETED,BOTORCH_MODULAR,70.53000000000000113686837721616,120,0.000717836592055019827134099142,64,3679,0.442772248609895946458436810644,1,128,5
565,1761993735,5,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993740,1761995461,1721,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00068068775217712736 --batch_size 64 --hidden_size 4074 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207376,565_0,COMPLETED,BOTORCH_MODULAR,70.930000000000006821210263296962,109,0.000680687752177127356270625036,64,4074,0.5,1,128,5
566,1761993736,55,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993791,1761994797,1006,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00077864173909238869 --batch_size 64 --hidden_size 3033 --dropout 0.37469841204387688283 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207388,566_0,COMPLETED,BOTORCH_MODULAR,70.629999999999995452526491135359,64,0.000778641739092388691576007709,64,3033,0.374698412043876882826509699953,1,128,5
567,1761993736,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993760,1761995848,2088,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00060937998071629231 --batch_size 64 --hidden_size 4037 --dropout 0.32276150330824365797 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c147,1207381,567_0,COMPLETED,BOTORCH_MODULAR,70.21999999999999886313162278384,120,0.000609379980716292309235460056,64,4037,0.322761503308243657972553819491,1,128,5
568,1761993736,29,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993765,1761995303,1538,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1944 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c146,1207382,568_0,COMPLETED,BOTORCH_MODULAR,71.040000000000006252776074688882,102,0.001000000000000000020816681712,64,1944,0.5,1,128,5
569,1761993736,55,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993791,1761995631,1840,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.000639691025659929 --batch_size 64 --hidden_size 4096 --dropout 0.28958240410151020461 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c131,1207390,569_0,COMPLETED,BOTORCH_MODULAR,69.159999999999996589394868351519,120,0.000639691025659929000252157394,64,4096,0.289582404101510204608160847783,1,128,6
570,1761993736,60,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993796,1761995478,1682,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00078306952145424324 --batch_size 64 --hidden_size 2662 --dropout 0.43924095562414738891 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207389,570_0,COMPLETED,BOTORCH_MODULAR,70.659999999999996589394868351519,109,0.000783069521454243236066594669,64,2662,0.43924095562414738891376941865,1,128,5
571,1761993736,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993760,1761995443,1683,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.42767916987508919346 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c147,1207380,571_0,COMPLETED,BOTORCH_MODULAR,71.32999999999999829469743417576,106,0.001000000000000000020816681712,64,4096,0.42767916987508919346439029141,1,128,5
572,1761993737,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993779,1761995638,1859,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00085947950923713034 --batch_size 64 --hidden_size 4096 --dropout 0.43682842853468373256 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c145,1207385,572_0,COMPLETED,BOTORCH_MODULAR,71.03000000000000113686837721616,112,0.000859479509237130344032062901,64,4096,0.436828428534683732564758429362,1,128,5
573,1761993737,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993760,1761994333,573,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 36 --learning_rate 0.0008956393383103532 --batch_size 64 --hidden_size 3669 --dropout 0.14610388015212757984 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c145,1207384,573_0,COMPLETED,BOTORCH_MODULAR,68.82999999999999829469743417576,36,0.000895639338310353196395685593,64,3669,0.146103880152127579838960969028,1,128,5
574,1761993737,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993799,1761995671,1872,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00061933728901176447 --batch_size 64 --hidden_size 3501 --dropout 0.44187497694622263067 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c131,1207391,574_0,COMPLETED,BOTORCH_MODULAR,70.39000000000000056843418860808,120,0.000619337289011764467912268817,64,3501,0.44187497694622263066932532638,1,128,5
575,1761993737,54,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993791,1761995607,1816,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2059 --dropout 0.31149090562690379125 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1207387,575_0,COMPLETED,BOTORCH_MODULAR,70.319999999999993178789736703038,120,0.001000000000000000020816681712,64,2059,0.311490905626903791247883646065,1,128,5
576,1761993741,78,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993819,1761995022,1203,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 78 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1763 --dropout 0.37081942736297196506 --num_dense_layers 1 --filter 123 --num_conv_layers 5,0,,c130,1207393,576_0,COMPLETED,BOTORCH_MODULAR,70.260000000000005115907697472721,78,0.001000000000000000020816681712,64,1763,0.370819427362971965056459566767,1,123,5
577,1761993741,83,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993824,1761995547,1723,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00066520302682124581 --batch_size 64 --hidden_size 4096 --dropout 0.45250542181780273321 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1207394,577_0,COMPLETED,BOTORCH_MODULAR,71.78000000000000113686837721616,110,0.00066520302682124580681555237,64,4096,0.452505421817802733208679910604,1,128,5
578,1761993741,58,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993799,1761995727,1928,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 119 --learning_rate 0.00079093324409183091 --batch_size 64 --hidden_size 4096 --dropout 0.38061987281108244918 --num_dense_layers 1 --filter 123 --num_conv_layers 5,0,,c130,1207392,578_0,COMPLETED,BOTORCH_MODULAR,70.790000000000006252776074688882,119,0.000790933244091830906299933623,64,4096,0.380619872811082449182151776768,1,123,5
579,1761993743,84,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761993827,1761994836,1009,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.37435603282477336595 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1207395,579_0,COMPLETED,BOTORCH_MODULAR,70.519999999999996020960679743439,63,0.001000000000000000020816681712,64,4096,0.374356032824773365952353287867,1,128,5
580,1761996864,46,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996910,1761998609,1699,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00087704891330214524 --batch_size 64 --hidden_size 4096 --dropout 0.47412778280030976052 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207440,580_0,COMPLETED,BOTORCH_MODULAR,70.849999999999994315658113919199,107,0.000877048913302145237945450784,64,4096,0.474127782800309760524726243602,1,128,5
581,1761996865,82,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996947,1761998434,1487,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 95 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3830 --dropout 0.45453976038840193663 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1207450,581_0,COMPLETED,BOTORCH_MODULAR,71.060000000000002273736754432321,95,0.001000000000000000020816681712,64,3830,0.454539760388401936630486943614,1,128,5
582,1761996865,76,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996941,1761998122,1181,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 76 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3006 --dropout 0.38179052291588810863 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c131,1207448,582_0,COMPLETED,BOTORCH_MODULAR,70.78000000000000113686837721616,76,0.001000000000000000020816681712,64,3006,0.381790522915888108634874242853,1,128,5
583,1761996865,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996907,1761998469,1562,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3744 --dropout 0.4660344935932923538 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207443,583_0,COMPLETED,BOTORCH_MODULAR,70.989999999999994884092302527279,99,0.001000000000000000020816681712,64,3744,0.466034493593292353796897486973,1,128,5
584,1761996864,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996867,1761998077,1210,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 77 --learning_rate 0.00084726606122629297 --batch_size 64 --hidden_size 3991 --dropout 0.49444033974320561464 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207435,584_0,COMPLETED,BOTORCH_MODULAR,70.989999999999994884092302527279,77,0.000847266061226292972220763833,64,3991,0.494440339743205614642107548207,1,128,5
585,1761996864,17,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996881,1761998717,1836,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00094307978429125454 --batch_size 64 --hidden_size 3666 --dropout 0.4343666724664621559 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c152,1207436,585_0,COMPLETED,BOTORCH_MODULAR,71.159999999999996589394868351519,115,0.000943079784291254541277182977,64,3666,0.434366672466462155899336039511,1,128,5
586,1761996865,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996887,1761998438,1551,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1528 --dropout 0.36898298662039891171 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207439,586_0,COMPLETED,BOTORCH_MODULAR,70.980000000000003979039320256561,105,0.001000000000000000020816681712,64,1528,0.368982986620398911714602263601,1,128,5
587,1761996865,79,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996944,1761998658,1714,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3579 --dropout 0.42191591342314382906 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c131,1207449,587_0,COMPLETED,BOTORCH_MODULAR,70.939999999999997726263245567679,110,0.001000000000000000020816681712,64,3579,0.421915913423143829064088095038,1,128,5
588,1761996865,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996927,1761998065,1138,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2052 --dropout 0.40131616239289669146 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207446,588_0,COMPLETED,BOTORCH_MODULAR,70.730000000000003979039320256561,75,0.001000000000000000020816681712,64,2052,0.401316162392896691457622182497,1,128,5
589,1761996864,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996907,1761998561,1654,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00077643066109211686 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207444,589_0,COMPLETED,BOTORCH_MODULAR,71.269999999999996020960679743439,104,0.000776430661092116858670864055,64,4096,0.5,1,128,5
590,1761996865,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996927,1761997949,1022,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00077793728056550955 --batch_size 64 --hidden_size 3203 --dropout 0.35363090122277723859 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1207445,590_0,COMPLETED,BOTORCH_MODULAR,70.909999999999996589394868351519,65,0.000777937280565509548142799634,64,3203,0.353630901222777238590566639687,1,128,5
591,1761996864,18,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996882,1761998774,1892,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00094357916940442641 --batch_size 64 --hidden_size 3294 --dropout 0.41939135259132181988 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c148,1207438,591_0,COMPLETED,BOTORCH_MODULAR,71.299999999999997157829056959599,111,0.000943579169404426413084174818,64,3294,0.419391352591321819875957999102,1,128,5
592,1761996865,102,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996967,1761998891,1924,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00087759584762337731 --batch_size 64 --hidden_size 4031 --dropout 0.39251849665889004815 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1207451,592_0,COMPLETED,BOTORCH_MODULAR,71.28000000000000113686837721616,120,0.000877595847623377305589398301,64,4031,0.392518496658890048145451601158,1,128,5
593,1761996865,45,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996910,1761997924,1014,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00085220634988399145 --batch_size 64 --hidden_size 4096 --dropout 0.42948365254246378964 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207441,593_0,COMPLETED,BOTORCH_MODULAR,71.209999999999993747223925311118,64,0.000852206349883991454846610125,64,4096,0.429483652542463789636428828089,1,128,5
594,1761996864,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996907,1761998565,1658,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3448 --dropout 0.48195944910577925846 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207442,594_0,COMPLETED,BOTORCH_MODULAR,71.39000000000000056843418860808,104,0.001000000000000000020816681712,64,3448,0.481959449105779258459847369522,1,128,5
595,1761996864,18,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996882,1761998524,1642,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3670 --dropout 0.39802787461760774645 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c151,1207437,595_0,COMPLETED,BOTORCH_MODULAR,70.959999999999993747223925311118,105,0.001000000000000000020816681712,64,3670,0.398027874617607746454694961358,1,128,5
596,1761996867,60,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996927,1761998787,1860,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00087087819631437248 --batch_size 64 --hidden_size 3325 --dropout 0.3622889700261019974 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207447,596_0,COMPLETED,BOTORCH_MODULAR,70.769999999999996020960679743439,120,0.000870878196314372478824272772,64,3325,0.362288970026101997401468679527,1,128,5
597,1761996878,89,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996967,1761998708,1741,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.41006724649481407496 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1207454,597_0,COMPLETED,BOTORCH_MODULAR,70.950000000000002842170943040401,110,0.001000000000000000020816681712,64,4096,0.410067246494814074964097017073,1,128,5
598,1761996878,90,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996968,1761998429,1461,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2217 --dropout 0.4054478812289019074 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1207452,598_0,COMPLETED,BOTORCH_MODULAR,70.96999999999999886313162278384,97,0.001000000000000000020816681712,64,2217,0.405447881228901907402217830168,1,128,5
599,1761996878,89,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761996967,1761998401,1434,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 95 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2069 --dropout 0.44228965615503484932 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c129,1207453,599_0,COMPLETED,BOTORCH_MODULAR,70.129999999999995452526491135359,95,0.001000000000000000020816681712,64,2069,0.442289656155034849316365352934,1,128,5
600,1761999935,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999960,1762000964,1004,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 63 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.45227816895219224991 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207514,600_0,COMPLETED,BOTORCH_MODULAR,70.540000000000006252776074688882,63,0.001000000000000000020816681712,64,4096,0.452278168952192249907540144704,1,128,5
601,1761999934,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999938,1762001706,1768,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00073032609584107184 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c147,1207506,601_0,COMPLETED,BOTORCH_MODULAR,71.480000000000003979039320256561,112,0.000730326095841071841301139767,64,4096,0.5,1,128,5
602,1761999934,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999958,1762001691,1733,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3988 --dropout 0.47594470240898217872 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207509,602_0,COMPLETED,BOTORCH_MODULAR,70.89000000000000056843418860808,109,0.001000000000000000020816681712,64,3988,0.47594470240898217872071995771,1,128,5
603,1761999934,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999958,1762000926,968,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 62 --learning_rate 0.00084814009187925545 --batch_size 64 --hidden_size 3528 --dropout 0.38944141541250720806 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207510,603_0,COMPLETED,BOTORCH_MODULAR,70.989999999999994884092302527279,62,0.000848140091879255445840579686,64,3528,0.389441415412507208060333141475,1,128,5
604,1761999935,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999939,1762000885,946,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 60 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3809 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207508,604_0,COMPLETED,BOTORCH_MODULAR,70.28000000000000113686837721616,60,0.001000000000000000020816681712,64,3809,0.5,1,128,5
605,1761999935,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999963,1762001742,1779,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00090626907240472471 --batch_size 64 --hidden_size 4096 --dropout 0.42257834927388659985 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c131,1207516,605_0,COMPLETED,BOTORCH_MODULAR,70.89000000000000056843418860808,113,0.000906269072404724705324663425,64,4096,0.422578349273886599846150602389,1,128,5
606,1761999934,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999958,1762001862,1904,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00091088781908663856 --batch_size 64 --hidden_size 4096 --dropout 0.3612138666010961674 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207513,606_0,COMPLETED,BOTORCH_MODULAR,71.290000000000006252776074688882,120,0.000910887819086638557061763599,64,4096,0.36121386660109616739688931375,1,128,5
607,1761999935,37,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999972,1762001738,1766,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00079609558418765314 --batch_size 64 --hidden_size 1224 --dropout 0.26663506167693168392 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1207519,607_0,COMPLETED,BOTORCH_MODULAR,70.060000000000002273736754432321,120,0.000796095584187653140632867643,64,1224,0.266635061676931683916080828567,1,128,5
608,1761999935,37,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999972,1762001657,1685,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.46194848821707423792 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c130,1207517,608_0,COMPLETED,BOTORCH_MODULAR,71.310000000000002273736754432321,107,0.001000000000000000020816681712,64,4096,0.461948488217074237915937828802,1,128,5
609,1761999935,25,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999960,1762001595,1635,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00083020262022108764 --batch_size 64 --hidden_size 2181 --dropout 0.41651432324886056291 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207511,609_0,COMPLETED,BOTORCH_MODULAR,71.099999999999994315658113919199,108,0.000830202620221087640890733628,64,2181,0.416514323248860562909356985983,1,128,5
610,1761999935,38,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999973,1762000862,889,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 56 --learning_rate 0.00074534826137155001 --batch_size 64 --hidden_size 2146 --dropout 0.2817105873064435495 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c130,1207518,610_0,COMPLETED,BOTORCH_MODULAR,69.32999999999999829469743417576,56,0.000745348261371550006686159673,64,2146,0.281710587306443549504564316521,2,128,5
611,1761999935,36,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999971,1762001613,1642,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.47605402381586020555 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c122,1207521,611_0,COMPLETED,BOTORCH_MODULAR,70.82999999999999829469743417576,105,0.001000000000000000020816681712,64,4096,0.476054023815860205548489147986,1,128,5
612,1761999934,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999938,1762001614,1676,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3630 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207507,612_0,COMPLETED,BOTORCH_MODULAR,71.069999999999993178789736703038,106,0.001000000000000000020816681712,64,3630,0.5,1,128,5
613,1761999935,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999958,1762001123,1165,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00085405466716669876 --batch_size 64 --hidden_size 4096 --dropout 0.47712381790003638438 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1207512,613_0,COMPLETED,BOTORCH_MODULAR,70.799999999999997157829056959599,73,0.000854054667166698764160792656,64,4096,0.47712381790003638437624999824,1,128,5
614,1761999936,22,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999958,1762000788,830,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 52 --learning_rate 0.00068937510608535002 --batch_size 67 --hidden_size 3557 --dropout 0.26779463118212659678 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c131,1207515,614_0,COMPLETED,BOTORCH_MODULAR,69.980000000000003979039320256561,52,0.000689375106085350023571445277,67,3557,0.267794631182126596780079808013,1,128,5
615,1761999936,35,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999971,1762000950,979,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 59 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3683 --dropout 0.3545322805423983259 --num_dense_layers 2 --filter 128 --num_conv_layers 5,0,,c123,1207520,615_0,COMPLETED,BOTORCH_MODULAR,69.870000000000004547473508864641,59,0.001000000000000000020816681712,64,3683,0.354532280542398325895447896983,2,128,5
616,1761999939,33,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999972,1762000857,885,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 75 --learning_rate 0.00100000000000000002 --batch_size 263 --hidden_size 512 --dropout 0.20147155817164766334 --num_dense_layers 1 --filter 128 --num_conv_layers 7,0,,c119,1207522,616_0,COMPLETED,BOTORCH_MODULAR,67.46999999999999886313162278384,75,0.001000000000000000020816681712,263,512,0.201471558171647663337822109497,1,128,7
617,1761999940,46,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999986,1762001168,1182,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 76 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2848 --dropout 0.41765800799802643706 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1207524,617_0,COMPLETED,BOTORCH_MODULAR,70.739999999999994884092302527279,76,0.001000000000000000020816681712,64,2848,0.417658007998026437057603743597,1,128,5
618,1761999939,47,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999986,1762001327,1341,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 84 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3681 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1207523,618_0,COMPLETED,BOTORCH_MODULAR,71.239999999999994884092302527279,84,0.001000000000000000020816681712,64,3681,0.5,1,128,5
619,1761999942,56,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1761999998,1762001733,1735,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00098551335229807627 --batch_size 64 --hidden_size 3222 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1207525,619_0,COMPLETED,BOTORCH_MODULAR,71.28000000000000113686837721616,112,0.000985513352298076272459126379,64,3222,0.5,1,128,5
620,1762003064,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003106,1762004338,1232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 80 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2562 --dropout 0.43005163466331691735 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207554,620_0,COMPLETED,BOTORCH_MODULAR,70.189999999999997726263245567679,80,0.001000000000000000020816681712,64,2562,0.430051634663316917350783796792,1,128,5
621,1762003063,58,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003121,1762004612,1491,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1113 --dropout 0.38535586609084837573 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c120,1207558,621_0,COMPLETED,BOTORCH_MODULAR,70.480000000000003979039320256561,100,0.001000000000000000020816681712,64,1113,0.385355866090848375726807262254,1,128,6
622,1762003063,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003091,1762004687,1596,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00093741032917083855 --batch_size 64 --hidden_size 1572 --dropout 0.3473504070526303722 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1207551,622_0,COMPLETED,BOTORCH_MODULAR,70.75,105,0.000937410329170838547800659324,64,1572,0.347350407052630372195523023038,1,128,5
623,1762003063,60,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003123,1762004896,1773,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00082688927855930684 --batch_size 64 --hidden_size 4096 --dropout 0.48897140745151979058 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c120,1207559,623_0,COMPLETED,BOTORCH_MODULAR,70.730000000000003979039320256561,112,0.000826889278559306837093623166,64,4096,0.4889714074515197905768104647,1,128,5
624,1762003063,35,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003098,1762004958,1860,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 118 --learning_rate 0.00080954554756503276 --batch_size 64 --hidden_size 4096 --dropout 0.48166365286416473745 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207552,624_0,COMPLETED,BOTORCH_MODULAR,70.799999999999997157829056959599,118,0.000809545547565032760049807958,64,4096,0.481663652864164737454899523073,1,128,5
625,1762003063,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003086,1762004335,1249,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 79 --learning_rate 0.00081210653193447763 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1207550,625_0,COMPLETED,BOTORCH_MODULAR,70.85999999999999943156581139192,79,0.000812106531934477632837798833,64,4096,0.5,1,128,5
626,1762003063,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003066,1762004070,1004,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 57 --learning_rate 0.00082877693306115062 --batch_size 64 --hidden_size 4096 --dropout 0.32816924759889054553 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c127,1207548,626_0,COMPLETED,BOTORCH_MODULAR,70.040000000000006252776074688882,57,0.00082877693306115062226585577,64,4096,0.328169247598890545525307516073,1,128,5
627,1762003064,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003106,1762004750,1644,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.0008773916601617813 --batch_size 64 --hidden_size 1987 --dropout 0.38797212918738166465 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c122,1207556,627_0,COMPLETED,BOTORCH_MODULAR,70.730000000000003979039320256561,109,0.000877391660161781295271254955,64,1987,0.387972129187381664650047241594,1,128,5
628,1762003064,82,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003146,1762004163,1017,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00088428001384786251 --batch_size 64 --hidden_size 3291 --dropout 0.43580820890034777104 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1207563,628_0,COMPLETED,BOTORCH_MODULAR,70.10999999999999943156581139192,65,0.000884280013847862510385777757,64,3291,0.435808208900347771042049771495,1,128,5
629,1762003064,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003107,1762005011,1904,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00083210802870028089 --batch_size 64 --hidden_size 4096 --dropout 0.44245467166544361071 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c122,1207557,629_0,COMPLETED,BOTORCH_MODULAR,70.980000000000003979039320256561,120,0.000832108028700280890135876355,64,4096,0.442454671665443610706347499217,1,128,5
630,1762003065,86,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003151,1762004251,1100,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00090737880330605787 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1207562,630_0,COMPLETED,BOTORCH_MODULAR,70.519999999999996020960679743439,69,0.000907378803306057874628054449,64,4096,0.5,1,128,5
631,1762003065,63,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003128,1762004755,1627,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3958 --dropout 0.44288481938896495649 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1207561,631_0,COMPLETED,BOTORCH_MODULAR,70.980000000000003979039320256561,103,0.001000000000000000020816681712,64,3958,0.442884819388964956488052848727,1,128,5
632,1762003063,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003106,1762005007,1901,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00077672407603461633 --batch_size 64 --hidden_size 4096 --dropout 0.46041888801483976668 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207553,632_0,COMPLETED,BOTORCH_MODULAR,71.07999999999999829469743417576,120,0.000776724076034616332624149759,64,4096,0.460418888014839766675834198395,1,128,5
633,1762003064,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003106,1762004516,1410,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 95 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1074 --dropout 0.39590894502136031452 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c123,1207555,633_0,COMPLETED,BOTORCH_MODULAR,70.159999999999996589394868351519,95,0.001000000000000000020816681712,64,1074,0.395908945021360314520109113801,1,128,5
634,1762003063,3,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003066,1762004788,1722,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3731 --dropout 0.38907406224602275602 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c124,1207549,634_0,COMPLETED,BOTORCH_MODULAR,71.28000000000000113686837721616,110,0.001000000000000000020816681712,64,3731,0.389074062246022756017538313245,1,128,5
635,1762003065,57,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003122,1762004393,1271,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 1024 --hidden_size 3464 --dropout 0.5 --num_dense_layers 1 --filter 74 --num_conv_layers 5,0,,c119,1207560,635_0,COMPLETED,BOTORCH_MODULAR,61.3999999999999985789145284798,120,0.001000000000000000020816681712,1024,3464,0.5,1,74,5
636,1762003067,84,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003151,1762004719,1568,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00082534571394556272 --batch_size 64 --hidden_size 1705 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c118,1207564,636_0,COMPLETED,BOTORCH_MODULAR,71,105,0.000825345713945562723529159044,64,1705,0.5,1,128,5
637,1762003067,83,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003150,1762004892,1742,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.0008165188884726891 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1207565,637_0,COMPLETED,BOTORCH_MODULAR,70.989999999999994884092302527279,110,0.000816518888472689101376555953,64,4096,0.5,1,128,5
638,1762003076,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003146,1762004858,1712,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3539 --dropout 0.38788929876274402808 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1207566,638_0,COMPLETED,BOTORCH_MODULAR,70.430000000000006821210263296962,109,0.001000000000000000020816681712,64,3539,0.387889298762744028081783653761,1,128,5
639,1762003080,72,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762003152,1762004794,1642,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00065284667343452625 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c117,1207567,639_0,COMPLETED,BOTORCH_MODULAR,71.129999999999995452526491135359,104,0.000652846673434526246319886678,64,4096,0.5,1,128,5
640,1762006268,11,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006279,1762008128,1849,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.0008066236214397584 --batch_size 64 --hidden_size 4096 --dropout 0.44720754171395393772 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207579,640_0,COMPLETED,BOTORCH_MODULAR,71.21999999999999886313162278384,116,0.000806623621439758395346153463,64,4096,0.447207541713953937723147191718,1,128,5
641,1762006269,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006339,1762008030,1691,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00076240175312308105 --batch_size 64 --hidden_size 3211 --dropout 0.49827257914870903832 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c137,1207592,641_0,COMPLETED,BOTORCH_MODULAR,70.560000000000002273736754432321,109,0.000762401753123081050295128946,64,3211,0.498272579148709038321385378367,1,128,5
642,1762006269,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006339,1762007798,1459,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00082970012037756116 --batch_size 64 --hidden_size 2003 --dropout 0.49975432607133296603 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c137,1207590,642_0,COMPLETED,BOTORCH_MODULAR,70.89000000000000056843418860808,97,0.000829700120377561164790314319,64,2003,0.49975432607133296603052485807,1,128,5
643,1762006268,15,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006283,1762008121,1838,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00076696390939114936 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207580,643_0,COMPLETED,BOTORCH_MODULAR,71.32999999999999829469743417576,115,0.000766963909391149361270689777,64,4096,0.5,1,128,5
644,1762006270,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006314,1762008163,1849,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00086227039335098595 --batch_size 64 --hidden_size 2347 --dropout 0.49078639367553666961 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c138,1207587,644_0,COMPLETED,BOTORCH_MODULAR,71.21999999999999886313162278384,120,0.00086227039335098594821649165,64,2347,0.490786393675536669611858542339,1,128,5
645,1762006268,11,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006279,1762007855,1576,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.00061249610576410312 --batch_size 64 --hidden_size 3883 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207581,645_0,COMPLETED,BOTORCH_MODULAR,70.569999999999993178789736703038,100,0.000612496105764103121807395702,64,3883,0.5,1,128,5
646,1762006269,50,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006319,1762006704,385,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 23 --learning_rate 0.00030774026056717459 --batch_size 64 --hidden_size 4096 --dropout 0 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c138,1207589,646_0,COMPLETED,BOTORCH_MODULAR,60.630000000000002557953848736361,23,0.00030774026056717458535785803,64,4096,0,1,128,5
647,1762006269,31,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006300,1762007868,1568,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00072469070456479372 --batch_size 64 --hidden_size 4096 --dropout 0.45961841618971982504 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207585,647_0,COMPLETED,BOTORCH_MODULAR,70.730000000000003979039320256561,99,0.000724690704564793716779824706,64,4096,0.459618416189719825037940381662,1,128,5
648,1762006269,70,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006339,1762007656,1317,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 87 --learning_rate 0.00087743583581294552 --batch_size 64 --hidden_size 1448 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c137,1207591,648_0,COMPLETED,BOTORCH_MODULAR,70.21999999999999886313162278384,87,0.000877435835812945524175843204,64,1448,0.5,1,128,5
649,1762006270,49,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006319,1762007979,1660,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00072360431538432638 --batch_size 64 --hidden_size 3467 --dropout 0.46968312150534696769 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c138,1207588,649_0,COMPLETED,BOTORCH_MODULAR,70.870000000000004547473508864641,108,0.000723604315384326381155322139,64,3467,0.469683121505346967694549675798,1,128,5
650,1762006269,30,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006299,1762007986,1687,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00084686013502712583 --batch_size 64 --hidden_size 3654 --dropout 0.45292793754718052579 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207582,650_0,COMPLETED,BOTORCH_MODULAR,71.260000000000005115907697472721,108,0.000846860135027125825873950404,64,3654,0.452927937547180525790224692173,1,128,5
651,1762006270,69,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006339,1762008030,1691,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00084711264635671676 --batch_size 64 --hidden_size 3759 --dropout 0.45216033411740746972 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c137,1207593,651_0,COMPLETED,BOTORCH_MODULAR,70.340000000000003410605131648481,109,0.000847112646356716755477456182,64,3759,0.452160334117407469722849100435,1,128,5
652,1762006270,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006314,1762007895,1581,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 103 --learning_rate 0.00080614829401977513 --batch_size 64 --hidden_size 2658 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c138,1207586,652_0,COMPLETED,BOTORCH_MODULAR,70.689999999999997726263245567679,103,0.000806148294019775127350335708,64,2658,0.5,1,128,5
653,1762006270,30,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006300,1762008181,1881,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00073157124083247731 --batch_size 64 --hidden_size 3166 --dropout 0.45974097787736090126 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207584,653_0,COMPLETED,BOTORCH_MODULAR,71.129999999999995452526491135359,120,0.000731571240832477312152071214,64,3166,0.459740977877360901260317405104,1,128,5
654,1762006270,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006332,1762008299,1967,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 2 --filter 128 --num_conv_layers 7,0,,c136,1207594,654_0,COMPLETED,BOTORCH_MODULAR,69.069999999999993178789736703038,120,0.001000000000000000020816681712,64,4096,0.5,2,128,7
655,1762006270,31,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006301,1762008074,1773,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00078154150436921389 --batch_size 64 --hidden_size 4096 --dropout 0.4371723103651110609 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207583,655_0,COMPLETED,BOTORCH_MODULAR,70.810000000000002273736754432321,111,0.000781541504369213891820211693,64,4096,0.437172310365111060903586803761,1,128,5
656,1762006278,54,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006332,1762008213,1881,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 119 --learning_rate 0.00071369518749969858 --batch_size 64 --hidden_size 4096 --dropout 0.45278135845219324995 --num_dense_layers 1 --filter 124 --num_conv_layers 5,0,,c136,1207595,656_0,COMPLETED,BOTORCH_MODULAR,71.129999999999995452526491135359,119,0.000713695187499698577640594443,64,4096,0.452781358452193249952699716232,1,124,5
657,1762006278,54,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006332,1762008045,1713,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00086225886260811316 --batch_size 64 --hidden_size 3679 --dropout 0.44572877267747784691 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c136,1207596,657_0,COMPLETED,BOTORCH_MODULAR,71.409999999999996589394868351519,110,0.000862258862608113164048562194,64,3679,0.445728772677477846908544734106,1,128,5
658,1762006278,62,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006340,1762008033,1693,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00062810092597468824 --batch_size 64 --hidden_size 3394 --dropout 0.39047658493264625346 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c136,1207597,658_0,COMPLETED,BOTORCH_MODULAR,70.57999999999999829469743417576,107,0.000628100925974688236406995312,64,3394,0.390476584932646253456312024355,1,128,5
659,1762006280,91,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762006371,1762008193,1822,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00076995244230629192 --batch_size 64 --hidden_size 2478 --dropout 0.47310450470023057701 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c135,1207598,659_0,COMPLETED,BOTORCH_MODULAR,70.89000000000000056843418860808,120,0.000769952442306291924035976937,64,2478,0.473104504700230577007857846183,1,128,5
660,1762009787,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009811,1762011658,1847,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 119 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3624 --dropout 0.38616323620674336548 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207612,660_0,COMPLETED,BOTORCH_MODULAR,71.069999999999993178789736703038,119,0.001000000000000000020816681712,64,3624,0.386163236206743365475091422923,1,128,5
661,1762009787,58,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009845,1762011677,1832,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.38244130462428288508 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c139,1207615,661_0,COMPLETED,BOTORCH_MODULAR,69.60999999999999943156581139192,120,0.001000000000000000020816681712,64,4096,0.382441304624282885082919847264,1,128,6
662,1762009788,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009811,1762011726,1915,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00083900535393158552 --batch_size 64 --hidden_size 3964 --dropout 0.45734915266000819578 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c140,1207614,662_0,COMPLETED,BOTORCH_MODULAR,71.069999999999993178789736703038,120,0.000839005353931585517654467843,64,3964,0.457349152660008195780960704724,1,128,5
663,1762009787,4,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009791,1762011616,1825,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 3822 --dropout 0.49449257792281969826 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207609,663_0,COMPLETED,BOTORCH_MODULAR,70.879999999999995452526491135359,117,0.001000000000000000020816681712,64,3822,0.494492577922819698255096909634,1,128,5
664,1762009787,6,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009793,1762011408,1615,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.0007687600320040774 --batch_size 64 --hidden_size 1556 --dropout 0.46405245814211248945 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207610,664_0,COMPLETED,BOTORCH_MODULAR,70.349999999999994315658113919199,108,0.000768760032004077399278574312,64,1556,0.464052458142112489447583811852,1,128,5
665,1762009787,24,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009811,1762011615,1804,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 2287 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c141,1207613,665_0,COMPLETED,BOTORCH_MODULAR,70.409999999999996589394868351519,120,0.001000000000000000020816681712,64,2287,0.5,1,128,5
666,1762009787,6,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009793,1762011651,1858,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00066360371574055203 --batch_size 64 --hidden_size 4096 --dropout 0.48811275011162208459 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c143,1207611,666_0,COMPLETED,BOTORCH_MODULAR,70.200000000000002842170943040401,116,0.000663603715740552027070597862,64,4096,0.488112750111622084592255532698,1,128,5
667,1762009788,44,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009832,1762011674,1842,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00068390261717574444 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c138,1207622,667_0,COMPLETED,BOTORCH_MODULAR,70.92000000000000170530256582424,115,0.000683902617175744442432061554,64,4096,0.5,1,128,5
668,1762009790,28,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009818,1762011697,1879,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00080020572960519702 --batch_size 64 --hidden_size 3451 --dropout 0.41390963953651149776 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c138,1207619,668_0,COMPLETED,BOTORCH_MODULAR,70.659999999999996589394868351519,120,0.000800205729605197018522444452,64,3451,0.413909639536511497759363464866,1,128,5
669,1762009789,51,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009840,1762010913,1073,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 76 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 1002 --dropout 0.5 --num_dense_layers 1 --filter 47 --num_conv_layers 5,0,,c137,1207623,669_0,COMPLETED,BOTORCH_MODULAR,63.03999999999999914734871708788,76,0.001000000000000000020816681712,64,1002,0.5,1,47,5
670,1762009788,31,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009819,1762011136,1317,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.37044521621417642043 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207617,670_0,COMPLETED,BOTORCH_MODULAR,70.709999999999993747223925311118,82,0.001000000000000000020816681712,64,4096,0.370445216214176420432835357133,1,128,5
671,1762009789,23,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009812,1762011599,1787,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00065539126757480678 --batch_size 64 --hidden_size 3774 --dropout 0.48627151388493899953 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207618,671_0,COMPLETED,BOTORCH_MODULAR,71.25,113,0.000655391267574806780753238211,64,3774,0.486271513884938999527918213062,1,128,5
672,1762009789,51,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009840,1762011567,1727,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00090414278739526339 --batch_size 64 --hidden_size 2470 --dropout 0.41360996841856628725 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c137,1207625,672_0,COMPLETED,BOTORCH_MODULAR,70.819999999999993178789736703038,112,0.000904142787395263388718069653,64,2470,0.413609968418566287251536550684,1,128,5
673,1762009789,42,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009831,1762011006,1175,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.3243026216835235287 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c138,1207621,673_0,COMPLETED,BOTORCH_MODULAR,70.540000000000006252776074688882,74,0.001000000000000000020816681712,64,4096,0.324302621683523528695047843939,1,128,5
674,1762009789,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009832,1762011556,1724,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00093063049516801098 --batch_size 64 --hidden_size 2324 --dropout 0.46530009490536777816 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c138,1207620,674_0,COMPLETED,BOTORCH_MODULAR,70.739999999999994884092302527279,113,0.000930630495168010976950179192,64,2324,0.465300094905367778164162473331,1,128,5
675,1762009788,57,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009845,1762011024,1179,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00093068861880875656 --batch_size 64 --hidden_size 3453 --dropout 0.42004289188790983056 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c139,1207616,675_0,COMPLETED,BOTORCH_MODULAR,70.659999999999996589394868351519,73,0.000930688618808756559612482828,64,3453,0.420042891887909830561653734549,1,128,5
676,1762009793,47,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009840,1762011663,1823,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00100000000000000002 --batch_size 64 --hidden_size 4096 --dropout 0.5 --num_dense_layers 1 --filter 128 --num_conv_layers 6,0,,c137,1207624,676_0,COMPLETED,BOTORCH_MODULAR,70.950000000000002842170943040401,120,0.001000000000000000020816681712,64,4096,0.5,1,128,6
677,1762009793,47,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009840,1762011644,1804,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00086470655890906554 --batch_size 64 --hidden_size 2222 --dropout 0.39056880230922524921 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c137,1207626,677_0,COMPLETED,BOTORCH_MODULAR,71.159999999999996589394868351519,120,0.000864706558909065538254257177,64,2222,0.390568802309225249214108544038,1,128,5
678,1762009793,43,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009836,1762011386,1550,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00081913391952592783 --batch_size 64 --hidden_size 2177 --dropout 0.45053083944646282744 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c136,1207627,678_0,COMPLETED,BOTORCH_MODULAR,70.659999999999996589394868351519,102,0.000819133919525927831940814716,64,2177,0.450530839446462827435624376449,1,128,5
679,1762009795,41,0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb,1762009836,1762011623,1787,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00094215880167959208 --batch_size 64 --hidden_size 1750 --dropout 0.39453967525181071752 --num_dense_layers 1 --filter 128 --num_conv_layers 5,0,,c136,1207628,679_0,COMPLETED,BOTORCH_MODULAR,70.53000000000000113686837721616,120,0.00094215880167959208286998507,64,1750,0.394539675251810717515610349437,1,128,5
To cancel, press CTRL c, then run 'scancel 1205831'
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[WARNING 10-31 17:30:40] ax.service.utils.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
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Run-UUID: 66d841fb-2012-496b-a1b5-28f69efc6871
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⠋ Writing worker creation log...
omniopt --partition=alpha --experiment_name=mnist_mono --mem_gb=40 --time=1440 --worker_timeout=120 --max_eval=1000 --num_parallel_jobs=20 --gpus=1 --num_random_steps=20 --follow --live_share --send_anonymized_usage_stats --result_names VAL_ACC=max --run_program=cHl0aG9uMyAvZGF0YS9ob3JzZS93cy9zMzgxMTE0MS1vbW5pb3B0X21uaXN0X3Rlc3RfY2FsbC9vbW5pb3B0Ly50ZXN0cy9tbmlzdC90cmFpbiAtLWVwb2NocyAlZXBvY2hzIC0tbGVhcm5pbmdfcmF0ZSAlbHIgLS1iYXRjaF9zaXplICViYXRjaF9zaXplIC0taGlkZGVuX3NpemUgJWhpZGRlbl9zaXplIC0tZHJvcG91dCAlZHJvcG91dCAtLW51bV9kZW5zZV9sYXllcnMgJW51bV9kZW5zZV9sYXllcnMgLS1maWx0ZXIgJShmaWx0ZXIpIC0tbnVtX2NvbnZfbGF5ZXJzICUobnVtX2NvbnZfbGF5ZXJzKQo= --run_program_once=cHl0aG9uMyAvZGF0YS9ob3JzZS93cy9zMzgxMTE0MS1vbW5pb3B0X21uaXN0X3Rlc3RfY2FsbC9vbW5pb3B0Ly50ZXN0cy9tbmlzdC90cmFpbiAtLWluc3RhbGw= --cpus_per_task=1 --nodes_per_job=1 --revert_to_random_when_seemingly_exhausted --model=BOTORCH_MODULAR --n_estimators_randomforest=100 --run_mode=local --occ_type=euclid --main_process_gb=20 --max_nr_of_zero_results=50 --slurm_signal_delay_s=0 --max_failed_jobs=0 --max_attempts_for_generation=20 --num_restarts=20 --raw_samples=1024 --max_abandoned_retrial=20 --max_num_of_parallel_sruns=16 --number_of_generators=1 --generate_all_jobs_at_once --parameter epochs range 20 120 int false --parameter lr range 0.0001 0.001 float false --parameter batch_size range 64 1024 int false --parameter hidden_size range 512 4096 int false --parameter dropout range 0 0.5 float false --parameter num_dense_layers range 1 2 int false --parameter filter range 16 128 int false --parameter num_conv_layers range 5 7 int false
⠋ Disabling logging...
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⠋ Creating folder /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono/3...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
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Executing command: python3
/data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train
--install
Hyperparameters
╭──────────────────┬─────────╮
│ Parameter │ Value │
├──────────────────┼─────────┤
│ Epochs │ 60 │
│ Num Dense Layers │ 2 │
│ Batch size │ 128 │
│ Learning rate │ 0.001 │
│ Hidden size │ 128 │
│ Dropout │ 0.2 │
│ Optimizer │ adam │
│ Momentum │ 0.9 │
│ Weight Decay │ 0.0001 │
│ Activation │ relu │
│ Init Method │ kaiming │
│ Seed │ None │
│ Conv Filters │ 16 │
│ Num Conv Layers │ 4 │
│ Conv Kernel │ 3 │
│ Conv Stride │ 1 │
│ Conv Padding │ 1 │
╰──────────────────┴─────────╯
Exiting, since the installation should now be done
Setup script completed successfully ✅
Done executing command
⠋ Saving state files...
Run-folder: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono/3
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠸ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=s3811141&experiment_name=mnist_mono&run_nr=4 for live-results.
You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100.
Generation strategy: SOBOL for 20 steps and then BOTORCH_MODULAR for 980 steps.
Run-Program: python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs %epochs --learning_rate %lr --batch_size %batch_size --hidden_size %hidden_size --dropout %dropout --num_dense_layers %num_dense_layers --filter %(filter) --num_conv_layers %(num_conv_layers)
Experiment parameters
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ epochs │ range │ 20 │ 120 │ int │ No │
│ lr │ range │ 0.0001 │ 0.001 │ float │ No │
│ batch_size │ range │ 64 │ 1024 │ int │ No │
│ hidden_size │ range │ 512 │ 4096 │ int │ No │
│ dropout │ range │ 0 │ 0.5 │ float │ No │
│ num_dense_layers │ range │ 1 │ 2 │ int │ No │
│ filter │ range │ 16 │ 128 │ int │ No │
│ num_conv_layers │ range │ 5 │ 7 │ int │ No │
└──────────────────┴───────┴─────────────┴─────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ VAL_ACC │ max │
└─────────────┴─────────────┘
⠋ Write files and show overview
SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, new result: VAL_ACC: 71.070000 : 68%|██████▒░░░| 676/1000 [23:12:35<5:20:22, 59.33s/it]
2025-10-31 17:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, Started OmniOpt2 run...
2025-10-31 17:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #1/20
2025-10-31 17:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #2/20
2025-10-31 17:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #3/20
2025-10-31 17:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #4/20
2025-10-31 17:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #5/20
2025-10-31 17:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #6/20
2025-10-31 17:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #7/20
2025-10-31 17:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #8/20
2025-10-31 17:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #9/20
2025-10-31 17:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #10/20
2025-10-31 17:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #11/20
2025-10-31 17:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #12/20
2025-10-31 17:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #13/20
2025-10-31 17:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #14/20
2025-10-31 17:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #15/20
2025-10-31 17:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #16/20
2025-10-31 17:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #17/20
2025-10-31 17:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #18/20
2025-10-31 17:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #19/20
2025-10-31 17:31:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, getting new HP set #20/20
2025-10-31 17:31:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, requested 20 jobs, got 20, 0.17 s/job
2025-10-31 17:31:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #1/20 start
2025-10-31 17:31:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #2/20 start
2025-10-31 17:31:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #3/20 start
2025-10-31 17:31:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #4/20 start
2025-10-31 17:31:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #5/20 start
2025-10-31 17:31:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #6/20 start
2025-10-31 17:31:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #7/20 start
2025-10-31 17:31:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #8/20 start
2025-10-31 17:31:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #9/20 start
2025-10-31 17:31:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #10/20 start
2025-10-31 17:31:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #11/20 start
2025-10-31 17:31:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #12/20 start
2025-10-31 17:31:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #13/20 start
2025-10-31 17:31:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #14/20 start
2025-10-31 17:31:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #15/20 start
2025-10-31 17:31:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #16/20 start
2025-10-31 17:31:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #17/20 start
2025-10-31 17:31:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #18/20 start
2025-10-31 17:31:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #19/20 start
2025-10-31 17:31:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, eval #20/20 start
2025-10-31 17:31:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, starting new job
2025-10-31 17:31:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, unknown 1 = ∑1/20, started new job
2025-10-31 17:31:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, unknown 1 = ∑1/20, starting new job
2025-10-31 17:31:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, unknown 2 = ∑2/20, started new job
2025-10-31 17:31:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, unknown 2 = ∑2/20, starting new job
2025-10-31 17:31:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, unknown 3 = ∑3/20, started new job
2025-10-31 17:31:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, unknown 3 = ∑3/20, starting new job
2025-10-31 17:31:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending 2/1 = ∑3/20, starting new job
2025-10-31 17:32:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/1/2 = ∑5/20, started new job
2025-10-31 17:32:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/1/3 = ∑6/20, started new job
2025-10-31 17:32:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/1/3 = ∑6/20, starting new job
2025-10-31 17:32:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/4/1 = ∑7/20, started new job
2025-10-31 17:32:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/4/2 = ∑8/20, started new job
2025-10-31 17:32:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/6/1 = ∑9/20, started new job
2025-10-31 17:32:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/6/2 = ∑10/20, started new job
2025-10-31 17:32:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/8/1 = ∑11/20, started new job
2025-10-31 17:32:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/8/2 = ∑12/20, started new job
2025-10-31 17:32:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/10/2 = ∑14/20, started new job
2025-10-31 17:32:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/10/3 = ∑15/20, started new job
2025-10-31 17:32:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/13/1 = ∑16/20, started new job
2025-10-31 17:32:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/13/2 = ∑17/20, started new job
2025-10-31 17:32:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/13/3 = ∑18/20, started new job
2025-10-31 17:32:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/16/1 = ∑19/20, started new job
2025-10-31 17:32:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/16/2 = ∑20/20, started new job
2025-10-31 17:32:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending/unknown 2/16/2 = ∑20/20, waiting for 20 jobs
2025-10-31 17:32:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending 2/18 = ∑20/20, waiting for 20 jobs
2025-10-31 17:34:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending 4/16 = ∑20/20, waiting for 20 jobs
2025-10-31 17:35:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending 5/15 = ∑20/20, waiting for 20 jobs
2025-10-31 17:38:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending 7/13 = ∑20/20, waiting for 20 jobs
2025-10-31 17:40:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, running/pending 7/13 = ∑20/20, new result: VAL_ACC: 61.310000
2025-10-31 17:40:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 61.31, running/pending 6/13 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 17:40:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 61.31, running/pending 6/13 = ∑19/20, waiting for 19 jobs
2025-10-31 17:40:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 61.31, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 63.440000
2025-10-31 17:40:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 5/13 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 17:40:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 5/13 = ∑18/20, waiting for 18 jobs
2025-10-31 17:43:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 5/13 = ∑18/20, new result: VAL_ACC: 41.820000
2025-10-31 17:43:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 5/12 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-31 17:43:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 5/12 = ∑17/20, waiting for 17 jobs
2025-10-31 17:44:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 5/12 = ∑17/20, new result: VAL_ACC: 59.580000
2025-10-31 17:44:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 4/12 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 17:44:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 4/12 = ∑16/20, waiting for 16 jobs
2025-10-31 17:44:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 10/6 = ∑16/20, waiting for 16 jobs
2025-10-31 17:48:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 10/6 = ∑16/20, new result: VAL_ACC: 55.040000
2025-10-31 17:48:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 9/6 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-31 17:48:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 9/6 = ∑15/20, waiting for 15 jobs
2025-10-31 17:49:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 9/6 = ∑15/20, new result: VAL_ACC: 59.880000
2025-10-31 17:50:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 8/6 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-31 17:50:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 8/6 = ∑14/20, waiting for 14 jobs
2025-10-31 17:51:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 8/6 = ∑14/20, new result: VAL_ACC: 58.430000
2025-10-31 17:51:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 7/6 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-31 17:51:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 7/6 = ∑13/20, waiting for 13 jobs
2025-10-31 17:51:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 7/6 = ∑13/20, new result: VAL_ACC: 64.930000
2025-10-31 17:51:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 63.44, running/pending 7/6 = ∑13/20, new result: VAL_ACC: 54.940000
2025-10-31 17:51:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running/pending 5/6 = ∑11/20, waiting for 13 jobs, finished 2 jobs
2025-10-31 17:51:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running/pending 5/6 = ∑11/20, waiting for 11 jobs
2025-10-31 17:52:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running/pending 5/6 = ∑11/20, new result: VAL_ACC: 59.470000
2025-10-31 17:52:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running/pending 4/6 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-10-31 17:52:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running/pending 4/6 = ∑10/20, waiting for 10 jobs
2025-10-31 17:53:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running/pending 4/6 = ∑10/20, new result: VAL_ACC: 35.840000
2025-10-31 17:53:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running/pending 3/6 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-10-31 17:53:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running/pending 3/6 = ∑9/20, waiting for 9 jobs
2025-10-31 17:54:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running 9 = ∑9/20, waiting for 9 jobs
2025-10-31 17:55:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 64.93, running 9 = ∑9/20, new result: VAL_ACC: 66.850000
2025-10-31 17:55:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-10-31 17:55:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 8 = ∑8/20, waiting for 8 jobs
2025-10-31 17:58:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 8 = ∑8/20, new result: VAL_ACC: 44.490000
2025-10-31 17:58:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-31 17:58:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 7 = ∑7/20, waiting for 7 jobs
2025-10-31 17:58:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 7 = ∑7/20, new result: VAL_ACC: 57.910000
2025-10-31 17:58:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-10-31 17:58:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 6 = ∑6/20, waiting for 6 jobs
2025-10-31 18:02:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 6 = ∑6/20, new result: VAL_ACC: 60.960000
2025-10-31 18:02:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-31 18:02:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 5 = ∑5/20, waiting for 5 jobs
2025-10-31 18:04:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 5 = ∑5/20, new result: VAL_ACC: 57.540000
2025-10-31 18:04:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-31 18:04:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 4 = ∑4/20, waiting for 4 jobs
2025-10-31 18:06:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 4 = ∑4/20, new result: VAL_ACC: 59.430000
2025-10-31 18:06:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-31 18:06:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 18:09:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 3 = ∑3/20, new result: VAL_ACC: 40.030000
2025-10-31 18:09:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-31 18:09:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 18:10:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 2 = ∑2/20, new result: VAL_ACC: 65.960000
2025-10-31 18:10:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 18:10:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 1 = ∑1/20, waiting for 1 job
2025-10-31 18:11:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running 1 = ∑1/20, new result: VAL_ACC: 53.040000
2025-10-31 18:11:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, waiting for 1 job, finished 1 job
2025-10-31 18:11:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #1/20
2025-10-31 18:11:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #2/20
2025-10-31 18:11:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #3/20
2025-10-31 18:11:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #4/20
2025-10-31 18:11:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #5/20
2025-10-31 18:11:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #6/20
2025-10-31 18:11:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #7/20
2025-10-31 18:11:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #8/20
2025-10-31 18:11:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #9/20
2025-10-31 18:11:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #10/20
2025-10-31 18:11:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #11/20
2025-10-31 18:11:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #12/20
2025-10-31 18:11:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #13/20
2025-10-31 18:11:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #14/20
2025-10-31 18:11:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #15/20
2025-10-31 18:11:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #16/20
2025-10-31 18:11:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #17/20
2025-10-31 18:11:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #18/20
2025-10-31 18:11:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #19/20
2025-10-31 18:11:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, getting new HP set #20/20
2025-10-31 18:11:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, requested 20 jobs, got 20, 1.66 s/job
2025-10-31 18:11:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #1/20 start
2025-10-31 18:11:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #2/20 start
2025-10-31 18:11:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #3/20 start
2025-10-31 18:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #4/20 start
2025-10-31 18:11:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #5/20 start
2025-10-31 18:11:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #6/20 start
2025-10-31 18:11:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #7/20 start
2025-10-31 18:11:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #8/20 start
2025-10-31 18:11:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #9/20 start
2025-10-31 18:11:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #10/20 start
2025-10-31 18:11:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #11/20 start
2025-10-31 18:11:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #12/20 start
2025-10-31 18:11:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #13/20 start
2025-10-31 18:11:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #14/20 start
2025-10-31 18:11:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #15/20 start
2025-10-31 18:11:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #16/20 start
2025-10-31 18:12:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #17/20 start
2025-10-31 18:12:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #18/20 start
2025-10-31 18:12:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #19/20 start
2025-10-31 18:12:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, eval #20/20 start
2025-10-31 18:12:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, starting new job
2025-10-31 18:12:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, unknown 2 = ∑2/20, started new job
2025-10-31 18:12:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, unknown 2 = ∑2/20, starting new job
2025-10-31 18:12:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, pending/unknown 2/2 = ∑4/20, started new job
2025-10-31 18:12:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, pending/unknown 2/2 = ∑4/20, starting new job
2025-10-31 18:12:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, pending/unknown 4/2 = ∑6/20, started new job
2025-10-31 18:12:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, pending/unknown 6/2 = ∑8/20, started new job
2025-10-31 18:12:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 1/7/1 = ∑9/20, started new job
2025-10-31 18:12:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 1/8/1 = ∑10/20, started new job
2025-10-31 18:12:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 1/9/2 = ∑12/20, started new job
2025-10-31 18:12:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 1/11/1 = ∑13/20, started new job
2025-10-31 18:12:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 1/11/2 = ∑14/20, started new job
2025-10-31 18:12:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 1/13/1 = ∑15/20, started new job
2025-10-31 18:12:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 1/14/1 = ∑16/20, started new job
2025-10-31 18:13:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 2/14/1 = ∑17/20, started new job
2025-10-31 18:13:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 2/15/1 = ∑18/20, started new job
2025-10-31 18:13:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 2/15/2 = ∑19/20, started new job
2025-10-31 18:13:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending/unknown 2/15/3 = ∑20/20, started new job
2025-10-31 18:13:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending 2/18 = ∑20/20, waiting for 20 jobs
2025-10-31 18:13:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending 3/17 = ∑20/20, waiting for 20 jobs
2025-10-31 18:17:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending 4/16 = ∑20/20, waiting for 20 jobs
2025-10-31 18:21:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending 7/13 = ∑20/20, waiting for 20 jobs
2025-10-31 18:27:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending 7/13 = ∑20/20, new result: VAL_ACC: 59.240000
2025-10-31 18:27:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending 7/12 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 18:27:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending 7/12 = ∑19/20, waiting for 19 jobs
2025-10-31 18:29:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending 13/6 = ∑19/20, waiting for 19 jobs
2025-10-31 18:31:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 66.85, running/pending 13/6 = ∑19/20, new result: VAL_ACC: 67.980000
2025-10-31 18:31:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 12/6 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 18:31:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 12/6 = ∑18/20, waiting for 18 jobs
2025-10-31 18:32:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 12/6 = ∑18/20, new result: VAL_ACC: 67.350000
2025-10-31 18:32:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 11/6 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-31 18:32:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 11/6 = ∑17/20, waiting for 17 jobs
2025-10-31 18:34:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 11/6 = ∑17/20, new result: VAL_ACC: 67.400000
2025-10-31 18:34:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 10/6 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 18:34:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 10/6 = ∑16/20, waiting for 16 jobs
2025-10-31 18:35:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 10/6 = ∑16/20, new result: VAL_ACC: 58.050000
2025-10-31 18:35:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 10/5 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-31 18:35:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 10/5 = ∑15/20, waiting for 15 jobs
2025-10-31 18:36:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 10/5 = ∑15/20, new result: VAL_ACC: 65.410000
2025-10-31 18:36:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 10/4 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-31 18:36:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 10/4 = ∑14/20, waiting for 14 jobs
2025-10-31 18:37:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 10/4 = ∑14/20, new result: VAL_ACC: 67.890000
2025-10-31 18:37:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 9/4 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-31 18:37:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 9/4 = ∑13/20, waiting for 13 jobs
2025-10-31 18:39:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 67.98, running/pending 9/4 = ∑13/20, new result: VAL_ACC: 68.090000
2025-10-31 18:39:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 8/4 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-10-31 18:39:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 8/4 = ∑12/20, waiting for 12 jobs
2025-10-31 18:39:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 12 = ∑12/20, waiting for 12 jobs
2025-10-31 18:39:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 12 = ∑12/20, new result: VAL_ACC: 67.380000
2025-10-31 18:39:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-10-31 18:39:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 11 = ∑11/20, waiting for 11 jobs
2025-10-31 18:42:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 11 = ∑11/20, new result: VAL_ACC: 67.600000
2025-10-31 18:42:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-10-31 18:42:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 10 = ∑10/20, waiting for 10 jobs
2025-10-31 18:42:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 10 = ∑10/20, new result: VAL_ACC: 67.570000
2025-10-31 18:42:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-10-31 18:42:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 9 = ∑9/20, waiting for 9 jobs
2025-10-31 18:42:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 9 = ∑9/20, new result: VAL_ACC: 67.410000
2025-10-31 18:42:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-10-31 18:42:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 8 = ∑8/20, waiting for 8 jobs
2025-10-31 18:42:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 8 = ∑8/20, new result: VAL_ACC: 67.700000
2025-10-31 18:42:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-31 18:42:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 7 = ∑7/20, waiting for 7 jobs
2025-10-31 18:43:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 7 = ∑7/20, new result: VAL_ACC: 67.800000
2025-10-31 18:43:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-10-31 18:43:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 6 = ∑6/20, waiting for 6 jobs
2025-10-31 18:46:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 6 = ∑6/20, new result: VAL_ACC: 67.950000
2025-10-31 18:46:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-31 18:46:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 5 = ∑5/20, waiting for 5 jobs
2025-10-31 18:48:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 5 = ∑5/20, new result: VAL_ACC: 67.540000
2025-10-31 18:48:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-31 18:48:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 4 = ∑4/20, waiting for 4 jobs
2025-10-31 18:51:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 4 = ∑4/20, new result: VAL_ACC: 67.540000
2025-10-31 18:51:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-31 18:51:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 18:51:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 3 = ∑3/20, new result: VAL_ACC: 67.910000
2025-10-31 18:51:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-31 18:51:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 18:51:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 2 = ∑2/20, new result: VAL_ACC: 67.560000
2025-10-31 18:51:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 18:51:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 1 = ∑1/20, waiting for 1 job
2025-10-31 18:51:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 1 = ∑1/20, new result: VAL_ACC: 67.370000
2025-10-31 18:51:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, waiting for 1 job, finished 1 job
2025-10-31 18:52:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #1/20
2025-10-31 18:52:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #2/20
2025-10-31 18:52:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #3/20
2025-10-31 18:52:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #4/20
2025-10-31 18:52:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #5/20
2025-10-31 18:52:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #6/20
2025-10-31 18:52:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #7/20
2025-10-31 18:52:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #8/20
2025-10-31 18:52:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #9/20
2025-10-31 18:52:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #10/20
2025-10-31 18:52:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #11/20
2025-10-31 18:52:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #12/20
2025-10-31 18:52:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #13/20
2025-10-31 18:52:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #14/20
2025-10-31 18:52:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #15/20
2025-10-31 18:52:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #16/20
2025-10-31 18:52:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #17/20
2025-10-31 18:52:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #18/20
2025-10-31 18:52:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #19/20
2025-10-31 18:52:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #20/20
2025-10-31 18:52:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, requested 20 jobs, got 20, 2.45 s/job
2025-10-31 18:52:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #1/20 start
2025-10-31 18:52:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #2/20 start
2025-10-31 18:52:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #3/20 start
2025-10-31 18:52:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #4/20 start
2025-10-31 18:52:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #5/20 start
2025-10-31 18:52:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #6/20 start
2025-10-31 18:52:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #7/20 start
2025-10-31 18:52:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #8/20 start
2025-10-31 18:52:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #9/20 start
2025-10-31 18:52:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #10/20 start
2025-10-31 18:52:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #11/20 start
2025-10-31 18:52:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #12/20 start
2025-10-31 18:52:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #13/20 start
2025-10-31 18:52:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #14/20 start
2025-10-31 18:52:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #15/20 start
2025-10-31 18:52:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #16/20 start
2025-10-31 18:52:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #17/20 start
2025-10-31 18:52:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #18/20 start
2025-10-31 18:52:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #19/20 start
2025-10-31 18:52:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #20/20 start
2025-10-31 18:52:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, starting new job
2025-10-31 18:52:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, unknown 1 = ∑1/20, started new job
2025-10-31 18:52:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, unknown 1 = ∑1/20, starting new job
2025-10-31 18:53:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 1/2 = ∑3/20, started new job
2025-10-31 18:53:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 1/2 = ∑3/20, starting new job
2025-10-31 18:53:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 3/2 = ∑5/20, started new job
2025-10-31 18:53:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 3/2 = ∑5/20, starting new job
2025-10-31 18:53:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 5/3 = ∑8/20, started new job
2025-10-31 18:53:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 8/3 = ∑11/20, started new job
2025-10-31 18:53:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 11/3 = ∑14/20, started new job
2025-10-31 18:53:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 14/3 = ∑17/20, started new job
2025-10-31 18:53:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 17/3 = ∑20/20, started new job
2025-10-31 18:53:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 17/3 = ∑20/20, waiting for 20 jobs
2025-10-31 18:53:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending 20 = ∑20/20, waiting for 20 jobs
2025-10-31 18:54:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 1/19 = ∑20/20, waiting for 20 jobs
2025-10-31 19:00:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/16 = ∑20/20, waiting for 20 jobs
2025-10-31 19:04:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/16 = ∑20/20, new result: VAL_ACC: 64.340000
2025-10-31 19:04:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/16 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 19:04:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/16 = ∑19/20, waiting for 19 jobs
2025-10-31 19:06:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 9/10 = ∑19/20, waiting for 19 jobs
2025-10-31 19:08:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 9/10 = ∑19/20, new result: VAL_ACC: 63.990000
2025-10-31 19:08:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 8/10 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 19:08:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 8/10 = ∑18/20, waiting for 18 jobs
2025-10-31 19:09:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 8/10 = ∑18/20, new result: VAL_ACC: 65.140000
2025-10-31 19:09:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 7/10 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-31 19:09:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 7/10 = ∑17/20, waiting for 17 jobs
2025-10-31 19:10:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 7/10 = ∑17/20, new result: VAL_ACC: 64.460000
2025-10-31 19:10:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 6/10 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 19:10:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 6/10 = ∑16/20, waiting for 16 jobs
2025-10-31 19:12:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 6/10 = ∑16/20, new result: VAL_ACC: 64.970000
2025-10-31 19:12:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 5/10 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-31 19:12:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 5/10 = ∑15/20, waiting for 15 jobs
2025-10-31 19:14:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 5/10 = ∑15/20, new result: VAL_ACC: 65.180000
2025-10-31 19:14:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/10 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-31 19:14:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/10 = ∑14/20, waiting for 14 jobs
2025-10-31 19:14:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/10 = ∑14/20, new result: VAL_ACC: 64.870000
2025-10-31 19:14:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/10 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-31 19:14:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/10 = ∑13/20, waiting for 13 jobs
2025-10-31 19:14:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/10 = ∑13/20, new result: VAL_ACC: 65.100000
2025-10-31 19:15:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 2/10 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-10-31 19:15:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 2/10 = ∑12/20, waiting for 12 jobs
2025-10-31 19:16:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 2/10 = ∑12/20, new result: VAL_ACC: 64.700000
2025-10-31 19:16:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 1/10 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-10-31 19:16:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 1/10 = ∑11/20, waiting for 11 jobs
2025-10-31 19:16:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 11 = ∑11/20, waiting for 11 jobs
2025-10-31 19:17:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 11 = ∑11/20, new result: VAL_ACC: 65.130000
2025-10-31 19:17:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-10-31 19:17:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 10 = ∑10/20, waiting for 10 jobs
2025-10-31 19:18:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 10 = ∑10/20, new result: VAL_ACC: 64.480000
2025-10-31 19:18:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-10-31 19:18:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 9 = ∑9/20, waiting for 9 jobs
2025-10-31 19:19:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 9 = ∑9/20, new result: VAL_ACC: 63.970000
2025-10-31 19:19:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-10-31 19:19:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 8 = ∑8/20, waiting for 8 jobs
2025-10-31 19:21:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 8 = ∑8/20, new result: VAL_ACC: 62.560000
2025-10-31 19:21:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-31 19:21:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 7 = ∑7/20, waiting for 7 jobs
2025-10-31 19:21:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 7 = ∑7/20, new result: VAL_ACC: 65.110000
2025-10-31 19:22:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-10-31 19:22:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 6 = ∑6/20, waiting for 6 jobs
2025-10-31 19:22:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 6 = ∑6/20, new result: VAL_ACC: 64.150000
2025-10-31 19:22:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-31 19:22:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 5 = ∑5/20, waiting for 5 jobs
2025-10-31 19:22:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 5 = ∑5/20, new result: VAL_ACC: 64.620000
2025-10-31 19:22:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-31 19:22:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 4 = ∑4/20, waiting for 4 jobs
2025-10-31 19:23:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 4 = ∑4/20, new result: VAL_ACC: 64.890000
2025-10-31 19:23:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-31 19:23:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 19:24:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 3 = ∑3/20, new result: VAL_ACC: 63.380000
2025-10-31 19:24:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-31 19:24:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 19:25:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 2 = ∑2/20, new result: VAL_ACC: 64.930000
2025-10-31 19:25:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 19:25:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 1 = ∑1/20, waiting for 1 job
2025-10-31 19:26:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 1 = ∑1/20, new result: VAL_ACC: 64.510000
2025-10-31 19:26:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, waiting for 1 job, finished 1 job
2025-10-31 19:27:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #1/20
2025-10-31 19:27:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #2/20
2025-10-31 19:27:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #3/20
2025-10-31 19:27:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #4/20
2025-10-31 19:27:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #5/20
2025-10-31 19:27:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #6/20
2025-10-31 19:27:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #7/20
2025-10-31 19:27:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #8/20
2025-10-31 19:27:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #9/20
2025-10-31 19:27:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #10/20
2025-10-31 19:27:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #11/20
2025-10-31 19:27:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #12/20
2025-10-31 19:27:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #13/20
2025-10-31 19:27:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #14/20
2025-10-31 19:27:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #15/20
2025-10-31 19:27:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #16/20
2025-10-31 19:27:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #17/20
2025-10-31 19:27:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #18/20
2025-10-31 19:27:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #19/20
2025-10-31 19:27:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #20/20
2025-10-31 19:27:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, requested 20 jobs, got 20, 2.46 s/job
2025-10-31 19:27:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #1/20 start
2025-10-31 19:27:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #2/20 start
2025-10-31 19:27:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #3/20 start
2025-10-31 19:27:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #4/20 start
2025-10-31 19:27:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #5/20 start
2025-10-31 19:27:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #6/20 start
2025-10-31 19:27:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #7/20 start
2025-10-31 19:27:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #8/20 start
2025-10-31 19:27:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #9/20 start
2025-10-31 19:27:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #10/20 start
2025-10-31 19:27:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #11/20 start
2025-10-31 19:27:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #12/20 start
2025-10-31 19:27:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #13/20 start
2025-10-31 19:27:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #14/20 start
2025-10-31 19:27:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #15/20 start
2025-10-31 19:27:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #16/20 start
2025-10-31 19:27:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #17/20 start
2025-10-31 19:27:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #18/20 start
2025-10-31 19:28:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #19/20 start
2025-10-31 19:28:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #20/20 start
2025-10-31 19:28:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, starting new job
2025-10-31 19:28:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, unknown 1 = ∑1/20, starting new job
2025-10-31 19:28:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, unknown 1 = ∑1/20, started new job
2025-10-31 19:28:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, unknown 1 = ∑1/20, starting new job
2025-10-31 19:28:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/unknown 1/1 = ∑2/20, started new job
2025-10-31 19:28:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/unknown 1/1 = ∑2/20, starting new job
2025-10-31 19:28:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/unknown 1/2 = ∑3/20, started new job
2025-10-31 19:28:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/unknown 1/2 = ∑3/20, starting new job
2025-10-31 19:28:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 2/1/1 = ∑4/20, started new job
2025-10-31 19:28:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 2/1/1 = ∑4/20, starting new job
2025-10-31 19:28:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 2/2/1 = ∑5/20, started new job
2025-10-31 19:28:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 3/2/2 = ∑7/20, started new job
2025-10-31 19:28:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 3/4/2 = ∑9/20, started new job
2025-10-31 19:28:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 3/6/3 = ∑12/20, started new job
2025-10-31 19:28:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 3/9/3 = ∑15/20, started new job
2025-10-31 19:28:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 3/12/3 = ∑18/20, started new job
2025-10-31 19:29:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 3/15/2 = ∑20/20, started new job
2025-10-31 19:29:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 3/15/2 = ∑20/20, waiting for 20 jobs
2025-10-31 19:29:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/17 = ∑20/20, waiting for 20 jobs
2025-10-31 19:30:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/16 = ∑20/20, waiting for 20 jobs
2025-10-31 19:32:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 7/13 = ∑20/20, waiting for 20 jobs
2025-10-31 19:39:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 7/13 = ∑20/20, new result: VAL_ACC: 60.060000
2025-10-31 19:39:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 6/13 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 19:39:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 6/13 = ∑19/20, waiting for 19 jobs
2025-10-31 19:39:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 6/13 = ∑19/20, new result: VAL_ACC: 60.250000
2025-10-31 19:39:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 5/13 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 19:39:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 5/13 = ∑18/20, waiting for 18 jobs
2025-10-31 19:39:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 5/13 = ∑18/20, new result: VAL_ACC: 61.010000
2025-10-31 19:39:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/13 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-31 19:39:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/13 = ∑17/20, waiting for 17 jobs
2025-10-31 19:42:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/13 = ∑17/20, new result: VAL_ACC: 61.190000
2025-10-31 19:42:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/13 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 19:42:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/13 = ∑16/20, waiting for 16 jobs
2025-10-31 19:43:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/13 = ∑16/20, new result: VAL_ACC: 60.570000
2025-10-31 19:43:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 7/8 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-31 19:43:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 7/8 = ∑15/20, waiting for 15 jobs
2025-10-31 19:44:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 7/8 = ∑15/20, new result: VAL_ACC: 60.600000
2025-10-31 19:45:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 6/8 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-31 19:45:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 6/8 = ∑14/20, waiting for 14 jobs
2025-10-31 19:48:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 6/8 = ∑14/20, new result: VAL_ACC: 59.700000
2025-10-31 19:48:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 5/8 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-31 19:48:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 5/8 = ∑13/20, waiting for 13 jobs
2025-10-31 19:50:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 5/8 = ∑13/20, new result: VAL_ACC: 59.810000
2025-10-31 19:50:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/8 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-10-31 19:50:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/8 = ∑12/20, waiting for 12 jobs
2025-10-31 19:50:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 4/8 = ∑12/20, new result: VAL_ACC: 60.630000
2025-10-31 19:51:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/8 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-10-31 19:51:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/8 = ∑11/20, waiting for 11 jobs
2025-10-31 19:52:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 3/8 = ∑11/20, new result: VAL_ACC: 63.260000
2025-10-31 19:52:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 2/8 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-10-31 19:52:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 2/8 = ∑10/20, waiting for 10 jobs
2025-10-31 19:53:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 10 = ∑10/20, waiting for 10 jobs
2025-10-31 19:53:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 10 = ∑10/20, new result: VAL_ACC: 61.680000
2025-10-31 19:54:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-10-31 19:54:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 9 = ∑9/20, waiting for 9 jobs
2025-10-31 19:54:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 9 = ∑9/20, new result: VAL_ACC: 59.660000
2025-10-31 19:55:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-10-31 19:55:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 8 = ∑8/20, waiting for 8 jobs
2025-10-31 19:55:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 8 = ∑8/20, new result: VAL_ACC: 60.440000
2025-10-31 19:56:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-31 19:56:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 7 = ∑7/20, waiting for 7 jobs
2025-10-31 19:58:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 7 = ∑7/20, new result: VAL_ACC: 60.250000
2025-10-31 19:59:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-10-31 19:59:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 6 = ∑6/20, waiting for 6 jobs
2025-10-31 19:59:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 6 = ∑6/20, new result: VAL_ACC: 60.710000
2025-10-31 19:59:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-31 19:59:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 5 = ∑5/20, waiting for 5 jobs
2025-10-31 19:59:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 5 = ∑5/20, new result: VAL_ACC: 60.130000
2025-10-31 19:59:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-31 19:59:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 4 = ∑4/20, waiting for 4 jobs
2025-10-31 19:59:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 4 = ∑4/20, new result: VAL_ACC: 60.530000
2025-10-31 19:59:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-31 19:59:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 20:00:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 3 = ∑3/20, new result: VAL_ACC: 61.760000
2025-10-31 20:00:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-31 20:00:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 20:01:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 2 = ∑2/20, new result: VAL_ACC: 60.340000
2025-10-31 20:02:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 20:02:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 1 = ∑1/20, waiting for 1 job
2025-10-31 20:08:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 1 = ∑1/20, new result: VAL_ACC: 61.690000
2025-10-31 20:08:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, waiting for 1 job, finished 1 job
2025-10-31 20:09:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #1/20
2025-10-31 20:09:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #2/20
2025-10-31 20:09:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #3/20
2025-10-31 20:09:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #4/20
2025-10-31 20:09:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #5/20
2025-10-31 20:09:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #6/20
2025-10-31 20:09:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #7/20
2025-10-31 20:09:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #8/20
2025-10-31 20:09:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #9/20
2025-10-31 20:09:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #10/20
2025-10-31 20:09:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #11/20
2025-10-31 20:09:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #12/20
2025-10-31 20:09:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #13/20
2025-10-31 20:09:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #14/20
2025-10-31 20:09:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #15/20
2025-10-31 20:09:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #16/20
2025-10-31 20:09:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #17/20
2025-10-31 20:09:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #18/20
2025-10-31 20:09:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #19/20
2025-10-31 20:09:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, getting new HP set #20/20
2025-10-31 20:09:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, requested 20 jobs, got 20, 3.13 s/job
2025-10-31 20:09:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #1/20 start
2025-10-31 20:09:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #2/20 start
2025-10-31 20:09:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #3/20 start
2025-10-31 20:09:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #4/20 start
2025-10-31 20:09:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #5/20 start
2025-10-31 20:10:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #6/20 start
2025-10-31 20:10:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #7/20 start
2025-10-31 20:10:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #8/20 start
2025-10-31 20:10:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #9/20 start
2025-10-31 20:10:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #10/20 start
2025-10-31 20:10:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #11/20 start
2025-10-31 20:10:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #12/20 start
2025-10-31 20:10:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #13/20 start
2025-10-31 20:10:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #14/20 start
2025-10-31 20:10:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #15/20 start
2025-10-31 20:10:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #16/20 start
2025-10-31 20:10:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #17/20 start
2025-10-31 20:10:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #18/20 start
2025-10-31 20:10:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #19/20 start
2025-10-31 20:10:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, eval #20/20 start
2025-10-31 20:10:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, starting new job
2025-10-31 20:10:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, unknown 2 = ∑2/20, started new job
2025-10-31 20:10:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, unknown 2 = ∑2/20, starting new job
2025-10-31 20:10:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 2/1 = ∑3/20, started new job
2025-10-31 20:10:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, pending/unknown 2/1 = ∑3/20, starting new job
2025-10-31 20:10:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 2/1/1 = ∑4/20, started new job
2025-10-31 20:10:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 2/1/1 = ∑4/20, starting new job
2025-10-31 20:10:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 2/2/1 = ∑5/20, started new job
2025-10-31 20:10:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 2/3/1 = ∑6/20, started new job
2025-10-31 20:10:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/unknown 6/1 = ∑7/20, started new job
2025-10-31 20:10:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 6/1/1 = ∑8/20, started new job
2025-10-31 20:10:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/unknown 8/1 = ∑9/20, started new job
2025-10-31 20:10:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 8/1/1 = ∑10/20, started new job
2025-10-31 20:11:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 9/1/1 = ∑11/20, started new job
2025-10-31 20:11:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 9/2/1 = ∑12/20, started new job
2025-10-31 20:11:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 9/3/1 = ∑13/20, started new job
2025-10-31 20:11:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 9/4/1 = ∑14/20, started new job
2025-10-31 20:11:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 10/4/1 = ∑15/20, started new job
2025-10-31 20:11:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 10/5/3 = ∑18/20, started new job
2025-10-31 20:11:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 14/4/1 = ∑19/20, started new job
2025-10-31 20:11:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 14/4/2 = ∑20/20, started new job
2025-10-31 20:11:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending/unknown 14/4/2 = ∑20/20, waiting for 20 jobs
2025-10-31 20:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 15/5 = ∑20/20, waiting for 20 jobs
2025-10-31 20:12:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-10-31 20:13:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-10-31 20:15:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 20 = ∑20/20, waiting for 20 jobs
2025-10-31 20:24:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.09, running 20 = ∑20/20, new result: VAL_ACC: 68.220000
2025-10-31 20:24:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.22, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 20:24:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.22, running 19 = ∑19/20, waiting for 19 jobs
2025-10-31 20:25:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.22, running 19 = ∑19/20, new result: VAL_ACC: 68.470000
2025-10-31 20:25:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.47, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 20:25:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.47, running 18 = ∑18/20, waiting for 18 jobs
2025-10-31 20:36:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 68.47, running 18 = ∑18/20, new result: VAL_ACC: 69.450000
2025-10-31 20:37:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 69.45, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-31 20:37:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 69.45, running 17 = ∑17/20, waiting for 17 jobs
2025-10-31 20:37:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 69.45, running 17 = ∑17/20, new result: VAL_ACC: 70.410000
2025-10-31 20:37:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 20:37:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 16 jobs
2025-10-31 20:37:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 70.310000
2025-10-31 20:37:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 69.680000
2025-10-31 20:37:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 14 = ∑14/20, waiting for 16 jobs, finished 2 jobs
2025-10-31 20:37:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 14 = ∑14/20, waiting for 14 jobs
2025-10-31 20:37:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 14 = ∑14/20, new result: VAL_ACC: 69.510000
2025-10-31 20:37:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-31 20:37:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, waiting for 13 jobs
2025-10-31 20:37:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, new result: VAL_ACC: 70.160000
2025-10-31 20:37:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-10-31 20:37:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 12 = ∑12/20, waiting for 12 jobs
2025-10-31 20:37:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 12 = ∑12/20, new result: VAL_ACC: 70.390000
2025-10-31 20:38:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-10-31 20:38:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, waiting for 11 jobs
2025-10-31 20:38:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, new result: VAL_ACC: 70.380000
2025-10-31 20:38:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, new result: VAL_ACC: 70.150000
2025-10-31 20:38:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 9 = ∑9/20, waiting for 11 jobs, finished 2 jobs
2025-10-31 20:38:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 9 = ∑9/20, waiting for 9 jobs
2025-10-31 20:38:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 9 = ∑9/20, new result: VAL_ACC: 70.390000
2025-10-31 20:38:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-10-31 20:38:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, waiting for 8 jobs
2025-10-31 20:38:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, new result: VAL_ACC: 69.980000
2025-10-31 20:38:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, new result: VAL_ACC: 70.270000
2025-10-31 20:38:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, new result: VAL_ACC: 69.790000
2025-10-31 20:39:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 5 = ∑5/20, waiting for 8 jobs, finished 3 jobs
2025-10-31 20:39:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 5 = ∑5/20, waiting for 5 jobs
2025-10-31 20:39:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 5 = ∑5/20, new result: VAL_ACC: 69.950000
2025-10-31 20:39:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-31 20:39:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 4 = ∑4/20, waiting for 4 jobs
2025-10-31 20:39:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 4 = ∑4/20, new result: VAL_ACC: 69.610000
2025-10-31 20:39:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-31 20:39:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 20:40:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, new result: VAL_ACC: 70.030000
2025-10-31 20:40:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-31 20:40:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 20:40:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, new result: VAL_ACC: 69.880000
2025-10-31 20:40:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 20:40:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 1 job
2025-10-31 20:40:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, new result: VAL_ACC: 70.300000
2025-10-31 20:40:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, waiting for 1 job, finished 1 job
2025-10-31 20:41:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #1/20
2025-10-31 20:41:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #2/20
2025-10-31 20:41:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #3/20
2025-10-31 20:41:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #4/20
2025-10-31 20:41:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #5/20
2025-10-31 20:41:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #6/20
2025-10-31 20:41:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #7/20
2025-10-31 20:41:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #8/20
2025-10-31 20:41:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #9/20
2025-10-31 20:41:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #10/20
2025-10-31 20:41:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #11/20
2025-10-31 20:41:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #12/20
2025-10-31 20:41:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #13/20
2025-10-31 20:41:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #14/20
2025-10-31 20:41:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #15/20
2025-10-31 20:41:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #16/20
2025-10-31 20:41:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #17/20
2025-10-31 20:41:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #18/20
2025-10-31 20:41:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #19/20
2025-10-31 20:41:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #20/20
2025-10-31 20:41:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, requested 20 jobs, got 20, 3.40 s/job
2025-10-31 20:41:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #1/20 start
2025-10-31 20:41:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #2/20 start
2025-10-31 20:41:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #3/20 start
2025-10-31 20:41:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #4/20 start
2025-10-31 20:41:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #5/20 start
2025-10-31 20:41:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #6/20 start
2025-10-31 20:41:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #7/20 start
2025-10-31 20:41:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #8/20 start
2025-10-31 20:41:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #9/20 start
2025-10-31 20:42:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #10/20 start
2025-10-31 20:42:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #11/20 start
2025-10-31 20:42:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #12/20 start
2025-10-31 20:42:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #13/20 start
2025-10-31 20:42:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #14/20 start
2025-10-31 20:42:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #15/20 start
2025-10-31 20:42:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #16/20 start
2025-10-31 20:42:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #17/20 start
2025-10-31 20:42:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #18/20 start
2025-10-31 20:42:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #19/20 start
2025-10-31 20:42:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #20/20 start
2025-10-31 20:42:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, starting new job
2025-10-31 20:42:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, unknown 1 = ∑1/20, started new job
2025-10-31 20:42:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, unknown 1 = ∑1/20, starting new job
2025-10-31 20:42:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, pending/unknown 1/2 = ∑3/20, started new job
2025-10-31 20:42:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, pending/unknown 1/2 = ∑3/20, starting new job
2025-10-31 20:42:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 3/1 = ∑4/20, started new job
2025-10-31 20:42:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 3/1 = ∑4/20, starting new job
2025-10-31 20:42:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 4/1 = ∑5/20, started new job
2025-10-31 20:42:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 4/1/1 = ∑6/20, started new job
2025-10-31 20:42:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 4/2/1 = ∑7/20, started new job
2025-10-31 20:42:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 4/2/2 = ∑8/20, started new job
2025-10-31 20:42:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 4/4/1 = ∑9/20, started new job
2025-10-31 20:42:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 8/1/1 = ∑10/20, started new job
2025-10-31 20:42:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 10/1 = ∑11/20, started new job
2025-10-31 20:43:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 10/1/2 = ∑13/20, started new job
2025-10-31 20:43:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 13/1 = ∑14/20, started new job
2025-10-31 20:43:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 13/1/1 = ∑15/20, started new job
2025-10-31 20:43:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 13/2/1 = ∑16/20, started new job
2025-10-31 20:43:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 16/1 = ∑17/20, started new job
2025-10-31 20:43:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 17/1 = ∑18/20, started new job
2025-10-31 20:43:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 17/1/2 = ∑20/20, started new job
2025-10-31 20:43:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 17/1/2 = ∑20/20, waiting for 20 jobs
2025-10-31 20:43:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-10-31 20:43:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending 18/2 = ∑20/20, waiting for 20 jobs
2025-10-31 20:44:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, waiting for 20 jobs
2025-10-31 21:08:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, new result: VAL_ACC: 68.780000
2025-10-31 21:09:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 21:09:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 19 jobs
2025-10-31 21:09:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, new result: VAL_ACC: 68.560000
2025-10-31 21:09:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 21:09:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, waiting for 18 jobs
2025-10-31 21:09:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, new result: VAL_ACC: 68.770000
2025-10-31 21:10:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-31 21:10:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, waiting for 17 jobs
2025-10-31 21:10:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, new result: VAL_ACC: 67.330000
2025-10-31 21:10:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 21:10:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 16 jobs
2025-10-31 21:10:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 69.260000
2025-10-31 21:10:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-31 21:10:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 15 = ∑15/20, waiting for 15 jobs
2025-10-31 21:10:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 15 = ∑15/20, new result: VAL_ACC: 69.700000
2025-10-31 21:10:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-31 21:10:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 14 = ∑14/20, waiting for 14 jobs
2025-10-31 21:10:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 14 = ∑14/20, new result: VAL_ACC: 69.050000
2025-10-31 21:11:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-31 21:11:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, waiting for 13 jobs
2025-10-31 21:11:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, new result: VAL_ACC: 68.860000
2025-10-31 21:11:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, new result: VAL_ACC: 69.130000
2025-10-31 21:11:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, new result: VAL_ACC: 68.710000
2025-10-31 21:11:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, new result: VAL_ACC: 69.180000
2025-10-31 21:11:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, new result: VAL_ACC: 68.700000
2025-10-31 21:11:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 3/5 = ∑8/20, waiting for 13 jobs, finished 5 jobs
2025-10-31 21:11:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 3/5 = ∑8/20, waiting for 8 jobs
2025-10-31 21:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 3/5 = ∑8/20, new result: VAL_ACC: 68.630000
2025-10-31 21:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 3/5 = ∑8/20, new result: VAL_ACC: 69.210000
2025-10-31 21:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 3/5 = ∑8/20, new result: VAL_ACC: 69.640000
2025-10-31 21:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 3/5 = ∑8/20, new result: VAL_ACC: 68.910000
2025-10-31 21:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 3/5 = ∑8/20, new result: VAL_ACC: 68.450000
2025-10-31 21:12:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 8 jobs, finished 5 jobs
2025-10-31 21:12:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 21:12:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, new result: VAL_ACC: 69.090000
2025-10-31 21:12:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, new result: VAL_ACC: 69.370000
2025-10-31 21:12:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 3 jobs, finished 2 jobs
2025-10-31 21:12:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 1 job
2025-10-31 21:12:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, new result: VAL_ACC: 69.070000
2025-10-31 21:13:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, waiting for 1 job, finished 1 job
2025-10-31 21:14:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #1/20
2025-10-31 21:14:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #2/20
2025-10-31 21:14:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #3/20
2025-10-31 21:14:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #4/20
2025-10-31 21:14:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #5/20
2025-10-31 21:14:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #6/20
2025-10-31 21:14:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #7/20
2025-10-31 21:14:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #8/20
2025-10-31 21:14:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #9/20
2025-10-31 21:14:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #10/20
2025-10-31 21:14:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #11/20
2025-10-31 21:14:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #12/20
2025-10-31 21:14:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #13/20
2025-10-31 21:14:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #14/20
2025-10-31 21:14:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #15/20
2025-10-31 21:14:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #16/20
2025-10-31 21:14:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #17/20
2025-10-31 21:14:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #18/20
2025-10-31 21:14:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #19/20
2025-10-31 21:14:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #20/20
2025-10-31 21:14:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, requested 20 jobs, got 20, 3.52 s/job
2025-10-31 21:14:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #1/20 start
2025-10-31 21:14:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #2/20 start
2025-10-31 21:14:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #3/20 start
2025-10-31 21:14:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #4/20 start
2025-10-31 21:14:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #5/20 start
2025-10-31 21:14:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #6/20 start
2025-10-31 21:14:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #7/20 start
2025-10-31 21:14:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #8/20 start
2025-10-31 21:14:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #9/20 start
2025-10-31 21:14:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #10/20 start
2025-10-31 21:14:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #11/20 start
2025-10-31 21:14:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #12/20 start
2025-10-31 21:14:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #13/20 start
2025-10-31 21:14:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #14/20 start
2025-10-31 21:14:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #15/20 start
2025-10-31 21:14:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #16/20 start
2025-10-31 21:14:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #17/20 start
2025-10-31 21:14:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #18/20 start
2025-10-31 21:14:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #19/20 start
2025-10-31 21:14:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #20/20 start
2025-10-31 21:14:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, starting new job
2025-10-31 21:14:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, pending 1 = ∑1/20, started new job
2025-10-31 21:14:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, pending 1 = ∑1/20, starting new job
2025-10-31 21:14:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 1/1 = ∑2/20, started new job
2025-10-31 21:14:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 1/1 = ∑2/20, starting new job
2025-10-31 21:14:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 1/1/1 = ∑3/20, started new job
2025-10-31 21:14:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 1/1/1 = ∑3/20, starting new job
2025-10-31 21:14:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 1/2/1 = ∑4/20, started new job
2025-10-31 21:14:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 1/2/1 = ∑4/20, starting new job
2025-10-31 21:15:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 4/1 = ∑5/20, started new job
2025-10-31 21:15:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 5/1 = ∑6/20, started new job
2025-10-31 21:15:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 5/1/2 = ∑8/20, started new job
2025-10-31 21:15:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 5/3/1 = ∑9/20, started new job
2025-10-31 21:15:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 5/4/1 = ∑10/20, started new job
2025-10-31 21:15:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 10/1 = ∑11/20, started new job
2025-10-31 21:15:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 11/1 = ∑12/20, started new job
2025-10-31 21:15:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 11/1/1 = ∑13/20, started new job
2025-10-31 21:15:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 11/2/1 = ∑14/20, started new job
2025-10-31 21:15:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 14/1 = ∑15/20, started new job
2025-10-31 21:15:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 14/1/1 = ∑16/20, started new job
2025-10-31 21:15:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 14/2/1 = ∑17/20, started new job
2025-10-31 21:16:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 17/1 = ∑18/20, started new job
2025-10-31 21:16:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 18/1 = ∑19/20, started new job
2025-10-31 21:16:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 18/1/1 = ∑20/20, started new job
2025-10-31 21:16:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 18/1/1 = ∑20/20, waiting for 20 jobs
2025-10-31 21:16:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending 18/2 = ∑20/20, waiting for 20 jobs
2025-10-31 21:16:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, waiting for 20 jobs
2025-10-31 21:36:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, new result: VAL_ACC: 58.190000
2025-10-31 21:37:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 21:37:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 19 jobs
2025-10-31 21:40:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, new result: VAL_ACC: 65.390000
2025-10-31 21:40:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 21:40:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, waiting for 18 jobs
2025-10-31 21:40:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, new result: VAL_ACC: 67.160000
2025-10-31 21:41:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-31 21:41:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, waiting for 17 jobs
2025-10-31 21:42:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, new result: VAL_ACC: 68.070000
2025-10-31 21:42:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 21:42:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 16 jobs
2025-10-31 21:42:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 67.560000
2025-10-31 21:42:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 67.930000
2025-10-31 21:42:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 67.590000
2025-10-31 21:42:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 67.190000
2025-10-31 21:42:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 65.800000
2025-10-31 21:43:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, waiting for 16 jobs, finished 5 jobs
2025-10-31 21:43:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, waiting for 11 jobs
2025-10-31 21:43:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, new result: VAL_ACC: 68.650000
2025-10-31 21:43:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, new result: VAL_ACC: 68.520000
2025-10-31 21:43:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, new result: VAL_ACC: 68.020000
2025-10-31 21:43:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, new result: VAL_ACC: 68.280000
2025-10-31 21:43:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, new result: VAL_ACC: 68.880000
2025-10-31 21:43:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 6 = ∑6/20, waiting for 11 jobs, finished 5 jobs
2025-10-31 21:43:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 6 = ∑6/20, waiting for 6 jobs
2025-10-31 21:43:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 6 = ∑6/20, new result: VAL_ACC: 68.230000
2025-10-31 21:43:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 6 = ∑6/20, new result: VAL_ACC: 67.790000
2025-10-31 21:43:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 6 = ∑6/20, new result: VAL_ACC: 67.770000
2025-10-31 21:44:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 6 jobs, finished 3 jobs
2025-10-31 21:44:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 21:45:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, new result: VAL_ACC: 67.710000
2025-10-31 21:45:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-31 21:45:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 21:45:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, new result: VAL_ACC: 67.140000
2025-10-31 21:45:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 21:45:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 1 job
2025-10-31 21:45:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, new result: VAL_ACC: 68.840000
2025-10-31 21:45:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, waiting for 1 job, finished 1 job
2025-10-31 21:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #1/20
2025-10-31 21:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #2/20
2025-10-31 21:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #3/20
2025-10-31 21:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #4/20
2025-10-31 21:47:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #5/20
2025-10-31 21:47:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #6/20
2025-10-31 21:47:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #7/20
2025-10-31 21:47:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #8/20
2025-10-31 21:47:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #9/20
2025-10-31 21:47:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #10/20
2025-10-31 21:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #11/20
2025-10-31 21:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #12/20
2025-10-31 21:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #13/20
2025-10-31 21:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #14/20
2025-10-31 21:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #15/20
2025-10-31 21:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #16/20
2025-10-31 21:47:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #17/20
2025-10-31 21:47:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #18/20
2025-10-31 21:47:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #19/20
2025-10-31 21:47:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #20/20
2025-10-31 21:47:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, requested 20 jobs, got 20, 4.08 s/job
2025-10-31 21:47:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #1/20 start
2025-10-31 21:47:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #2/20 start
2025-10-31 21:47:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #3/20 start
2025-10-31 21:47:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #4/20 start
2025-10-31 21:47:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #5/20 start
2025-10-31 21:47:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #6/20 start
2025-10-31 21:47:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #7/20 start
2025-10-31 21:47:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #8/20 start
2025-10-31 21:47:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #9/20 start
2025-10-31 21:47:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #10/20 start
2025-10-31 21:47:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #11/20 start
2025-10-31 21:47:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #12/20 start
2025-10-31 21:47:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #13/20 start
2025-10-31 21:47:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #14/20 start
2025-10-31 21:47:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #15/20 start
2025-10-31 21:47:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #16/20 start
2025-10-31 21:47:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #17/20 start
2025-10-31 21:47:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #18/20 start
2025-10-31 21:47:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #19/20 start
2025-10-31 21:47:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #20/20 start
2025-10-31 21:47:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, starting new job
2025-10-31 21:47:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, unknown 3 = ∑3/20, started new job
2025-10-31 21:47:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, unknown 3 = ∑3/20, starting new job
2025-10-31 21:47:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 3/2 = ∑5/20, started new job
2025-10-31 21:47:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 3/2 = ∑5/20, starting new job
2025-10-31 21:47:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 3/2/2 = ∑7/20, started new job
2025-10-31 21:47:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 3/2/3 = ∑8/20, started new job
2025-10-31 21:48:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 8/1 = ∑9/20, started new job
2025-10-31 21:48:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 8/1/2 = ∑11/20, started new job
2025-10-31 21:48:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 11/1 = ∑12/20, started new job
2025-10-31 21:48:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 11/1/2 = ∑14/20, started new job
2025-10-31 21:48:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 11/3/2 = ∑16/20, started new job
2025-10-31 21:48:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 11/5/1 = ∑17/20, started new job
2025-10-31 21:48:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 17/1 = ∑18/20, started new job
2025-10-31 21:48:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 17/1/2 = ∑20/20, started new job
2025-10-31 21:48:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 17/1/2 = ∑20/20, waiting for 20 jobs
2025-10-31 21:48:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-10-31 21:48:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, waiting for 20 jobs
2025-10-31 21:57:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, new result: VAL_ACC: 67.380000
2025-10-31 21:58:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 21:58:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 19 jobs
2025-10-31 21:59:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, new result: VAL_ACC: 67.690000
2025-10-31 21:59:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 21:59:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, waiting for 18 jobs
2025-10-31 21:59:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, new result: VAL_ACC: 67.380000
2025-10-31 21:59:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-31 21:59:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, waiting for 17 jobs
2025-10-31 21:59:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, new result: VAL_ACC: 68.060000
2025-10-31 21:59:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 21:59:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 16 jobs
2025-10-31 21:59:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 67.480000
2025-10-31 22:00:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-31 22:00:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 15 = ∑15/20, waiting for 15 jobs
2025-10-31 22:00:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 15 = ∑15/20, new result: VAL_ACC: 67.630000
2025-10-31 22:00:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 13/1 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-31 22:00:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 13/1 = ∑14/20, waiting for 14 jobs
2025-10-31 22:00:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/completed 13/1 = ∑14/20, new result: VAL_ACC: 68.010000
2025-10-31 22:00:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-31 22:00:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, waiting for 13 jobs
2025-10-31 22:00:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, new result: VAL_ACC: 67.600000
2025-10-31 22:00:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, new result: VAL_ACC: 67.560000
2025-10-31 22:00:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 10 = ∑10/20, waiting for 13 jobs, finished 3 jobs
2025-10-31 22:00:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 10 = ∑10/20, waiting for 10 jobs
2025-10-31 22:00:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 10 = ∑10/20, new result: VAL_ACC: 67.580000
2025-10-31 22:00:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 10 = ∑10/20, new result: VAL_ACC: 68.260000
2025-10-31 22:00:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs
2025-10-31 22:00:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, waiting for 8 jobs
2025-10-31 22:01:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, new result: VAL_ACC: 68.190000
2025-10-31 22:01:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-31 22:01:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 7 = ∑7/20, waiting for 7 jobs
2025-10-31 22:01:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 7 = ∑7/20, new result: VAL_ACC: 68.790000
2025-10-31 22:01:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 7 = ∑7/20, new result: VAL_ACC: 68.370000
2025-10-31 22:01:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 5 = ∑5/20, waiting for 7 jobs, finished 2 jobs
2025-10-31 22:01:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 5 = ∑5/20, waiting for 5 jobs
2025-10-31 22:07:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 5 = ∑5/20, new result: VAL_ACC: 69.050000
2025-10-31 22:07:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-31 22:07:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 4 = ∑4/20, waiting for 4 jobs
2025-10-31 22:08:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 4 = ∑4/20, new result: VAL_ACC: 70.000000
2025-10-31 22:08:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-31 22:08:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 22:09:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, new result: VAL_ACC: 69.690000
2025-10-31 22:09:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-31 22:09:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 22:09:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, new result: VAL_ACC: 69.810000
2025-10-31 22:10:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 22:10:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 1 job
2025-10-31 22:10:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, new result: VAL_ACC: 69.780000
2025-10-31 22:10:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, waiting for 1 job, finished 1 job
2025-10-31 22:11:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #1/20
2025-10-31 22:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #2/20
2025-10-31 22:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #3/20
2025-10-31 22:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #4/20
2025-10-31 22:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #5/20
2025-10-31 22:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #6/20
2025-10-31 22:11:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #7/20
2025-10-31 22:11:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #8/20
2025-10-31 22:11:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #9/20
2025-10-31 22:11:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #10/20
2025-10-31 22:11:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #11/20
2025-10-31 22:11:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #12/20
2025-10-31 22:11:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #13/20
2025-10-31 22:11:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #14/20
2025-10-31 22:11:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #15/20
2025-10-31 22:11:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #16/20
2025-10-31 22:11:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #17/20
2025-10-31 22:11:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #18/20
2025-10-31 22:11:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #19/20
2025-10-31 22:11:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #20/20
2025-10-31 22:11:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, requested 20 jobs, got 20, 4.71 s/job
2025-10-31 22:12:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #1/20 start
2025-10-31 22:12:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #2/20 start
2025-10-31 22:12:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #3/20 start
2025-10-31 22:12:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #4/20 start
2025-10-31 22:12:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #5/20 start
2025-10-31 22:12:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #6/20 start
2025-10-31 22:12:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #7/20 start
2025-10-31 22:12:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #8/20 start
2025-10-31 22:12:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #9/20 start
2025-10-31 22:12:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #10/20 start
2025-10-31 22:12:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #11/20 start
2025-10-31 22:12:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #12/20 start
2025-10-31 22:12:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #13/20 start
2025-10-31 22:12:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #14/20 start
2025-10-31 22:12:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #15/20 start
2025-10-31 22:12:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #16/20 start
2025-10-31 22:12:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #17/20 start
2025-10-31 22:12:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #18/20 start
2025-10-31 22:12:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #19/20 start
2025-10-31 22:12:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #20/20 start
2025-10-31 22:12:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, starting new job
2025-10-31 22:12:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, unknown 3 = ∑3/20, started new job
2025-10-31 22:12:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, unknown 3 = ∑3/20, starting new job
2025-10-31 22:12:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 3/2 = ∑5/20, started new job
2025-10-31 22:12:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 3/2 = ∑5/20, starting new job
2025-10-31 22:12:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 5/1 = ∑6/20, started new job
2025-10-31 22:12:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 5/1/2 = ∑8/20, started new job
2025-10-31 22:12:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 5/3/1 = ∑9/20, started new job
2025-10-31 22:12:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 5/4/1 = ∑10/20, started new job
2025-10-31 22:12:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 10/1 = ∑11/20, started new job
2025-10-31 22:13:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 11/1 = ∑12/20, started new job
2025-10-31 22:13:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 11/1/1 = ∑13/20, started new job
2025-10-31 22:13:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 11/2/1 = ∑14/20, started new job
2025-10-31 22:13:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 14/2 = ∑16/20, started new job
2025-10-31 22:13:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 14/2/2 = ∑18/20, started new job
2025-10-31 22:13:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 14/4/1 = ∑19/20, started new job
2025-10-31 22:13:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 19/1 = ∑20/20, started new job
2025-10-31 22:13:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 19/1 = ∑20/20, waiting for 20 jobs
2025-10-31 22:13:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, waiting for 20 jobs
2025-10-31 22:27:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, new result: VAL_ACC: 67.950000
2025-10-31 22:27:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 22:27:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 19 jobs
2025-10-31 22:29:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, new result: VAL_ACC: 67.710000
2025-10-31 22:29:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 22:29:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, waiting for 18 jobs
2025-10-31 22:29:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 18 = ∑18/20, new result: VAL_ACC: 67.070000
2025-10-31 22:29:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-10-31 22:29:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, waiting for 17 jobs
2025-10-31 22:29:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 17 = ∑17/20, new result: VAL_ACC: 68.790000
2025-10-31 22:30:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 22:30:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, waiting for 16 jobs
2025-10-31 22:30:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 16 = ∑16/20, new result: VAL_ACC: 68.940000
2025-10-31 22:30:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-31 22:30:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 15 = ∑15/20, waiting for 15 jobs
2025-10-31 22:30:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 15 = ∑15/20, new result: VAL_ACC: 63.830000
2025-10-31 22:30:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-10-31 22:30:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 14 = ∑14/20, waiting for 14 jobs
2025-10-31 22:30:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 14 = ∑14/20, new result: VAL_ACC: 68.290000
2025-10-31 22:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-10-31 22:31:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, waiting for 13 jobs
2025-10-31 22:31:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 13 = ∑13/20, new result: VAL_ACC: 69.140000
2025-10-31 22:31:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-10-31 22:31:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 12 = ∑12/20, waiting for 12 jobs
2025-10-31 22:31:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 12 = ∑12/20, new result: VAL_ACC: 68.920000
2025-10-31 22:31:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-10-31 22:31:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, waiting for 11 jobs
2025-10-31 22:31:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 11 = ∑11/20, new result: VAL_ACC: 64.270000
2025-10-31 22:31:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-10-31 22:31:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 10 = ∑10/20, waiting for 10 jobs
2025-10-31 22:31:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 10 = ∑10/20, new result: VAL_ACC: 69.180000
2025-10-31 22:31:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-10-31 22:31:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 9 = ∑9/20, waiting for 9 jobs
2025-10-31 22:33:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 9 = ∑9/20, new result: VAL_ACC: 68.880000
2025-10-31 22:33:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-10-31 22:33:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, waiting for 8 jobs
2025-10-31 22:33:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 8 = ∑8/20, new result: VAL_ACC: 67.340000
2025-10-31 22:33:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-10-31 22:33:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 7 = ∑7/20, waiting for 7 jobs
2025-10-31 22:34:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 7 = ∑7/20, new result: VAL_ACC: 69.760000
2025-10-31 22:34:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-10-31 22:34:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 6 = ∑6/20, waiting for 6 jobs
2025-10-31 22:35:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 6 = ∑6/20, new result: VAL_ACC: 69.280000
2025-10-31 22:35:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-10-31 22:35:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 5 = ∑5/20, waiting for 5 jobs
2025-10-31 22:42:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 5 = ∑5/20, new result: VAL_ACC: 69.000000
2025-10-31 22:42:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-10-31 22:42:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 4 = ∑4/20, waiting for 4 jobs
2025-10-31 22:43:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 4 = ∑4/20, new result: VAL_ACC: 69.430000
2025-10-31 22:43:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-10-31 22:43:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 22:44:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 3 = ∑3/20, new result: VAL_ACC: 69.380000
2025-10-31 22:44:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-31 22:44:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 22:45:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 2 = ∑2/20, new result: VAL_ACC: 70.340000
2025-10-31 22:45:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 22:45:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, waiting for 1 job
2025-10-31 22:45:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 1 = ∑1/20, new result: VAL_ACC: 69.810000
2025-10-31 22:45:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, waiting for 1 job, finished 1 job
2025-10-31 22:47:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #1/20
2025-10-31 22:47:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #2/20
2025-10-31 22:47:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #3/20
2025-10-31 22:47:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #4/20
2025-10-31 22:47:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #5/20
2025-10-31 22:47:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #6/20
2025-10-31 22:47:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #7/20
2025-10-31 22:47:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #8/20
2025-10-31 22:47:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #9/20
2025-10-31 22:47:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #10/20
2025-10-31 22:47:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #11/20
2025-10-31 22:47:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #12/20
2025-10-31 22:47:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #13/20
2025-10-31 22:47:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #14/20
2025-10-31 22:47:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #15/20
2025-10-31 22:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #16/20
2025-10-31 22:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #17/20
2025-10-31 22:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #18/20
2025-10-31 22:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #19/20
2025-10-31 22:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, getting new HP set #20/20
2025-10-31 22:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, requested 20 jobs, got 20, 5.32 s/job
2025-10-31 22:47:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #1/20 start
2025-10-31 22:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #2/20 start
2025-10-31 22:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #3/20 start
2025-10-31 22:47:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #4/20 start
2025-10-31 22:47:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #5/20 start
2025-10-31 22:47:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #6/20 start
2025-10-31 22:47:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #7/20 start
2025-10-31 22:47:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #8/20 start
2025-10-31 22:47:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #9/20 start
2025-10-31 22:47:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #10/20 start
2025-10-31 22:47:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #11/20 start
2025-10-31 22:47:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #12/20 start
2025-10-31 22:47:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #13/20 start
2025-10-31 22:47:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #14/20 start
2025-10-31 22:47:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #15/20 start
2025-10-31 22:47:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #16/20 start
2025-10-31 22:47:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #17/20 start
2025-10-31 22:47:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #18/20 start
2025-10-31 22:47:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #19/20 start
2025-10-31 22:47:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, eval #20/20 start
2025-10-31 22:47:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, starting new job
2025-10-31 22:47:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, unknown 2 = ∑2/20, starting new job
2025-10-31 22:47:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, unknown 2 = ∑2/20, started new job
2025-10-31 22:47:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, unknown 2 = ∑2/20, starting new job
2025-10-31 22:47:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, pending/unknown 2/1 = ∑3/20, started new job
2025-10-31 22:47:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, pending/unknown 2/1 = ∑3/20, starting new job
2025-10-31 22:47:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 3/1 = ∑4/20, started new job
2025-10-31 22:47:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 3/1 = ∑4/20, starting new job
2025-10-31 22:47:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 3/1/1 = ∑5/20, started new job
2025-10-31 22:48:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 5/1 = ∑6/20, started new job
2025-10-31 22:48:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 6/2 = ∑8/20, started new job
2025-10-31 22:48:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 6/2/3 = ∑11/20, started new job
2025-10-31 22:48:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 6/5/1 = ∑12/20, started new job
2025-10-31 22:48:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 12/2 = ∑14/20, started new job
2025-10-31 22:48:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending/unknown 12/2/2 = ∑16/20, started new job
2025-10-31 22:48:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 16/1 = ∑17/20, started new job
2025-10-31 22:49:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 17/2 = ∑19/20, started new job
2025-10-31 22:49:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 19/1 = ∑20/20, started new job
2025-10-31 22:49:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/unknown 19/1 = ∑20/20, waiting for 20 jobs
2025-10-31 22:49:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-10-31 22:49:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, waiting for 20 jobs
2025-10-31 23:05:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 20 = ∑20/20, new result: VAL_ACC: 69.290000
2025-10-31 23:06:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 23:06:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, waiting for 19 jobs
2025-10-31 23:06:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, new result: VAL_ACC: 69.540000
2025-10-31 23:06:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.41, running 19 = ∑19/20, new result: VAL_ACC: 70.440000
2025-10-31 23:06:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 17 = ∑17/20, waiting for 19 jobs, finished 2 jobs
2025-10-31 23:06:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 17 = ∑17/20, waiting for 17 jobs
2025-10-31 23:06:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 17 = ∑17/20, new result: VAL_ACC: 69.880000
2025-10-31 23:06:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-10-31 23:06:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 16 = ∑16/20, waiting for 16 jobs
2025-10-31 23:07:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 16 = ∑16/20, new result: VAL_ACC: 70.190000
2025-10-31 23:08:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-10-31 23:08:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 15 = ∑15/20, waiting for 15 jobs
2025-10-31 23:08:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 15 = ∑15/20, new result: VAL_ACC: 70.270000
2025-10-31 23:08:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 15 = ∑15/20, new result: VAL_ACC: 69.890000
2025-10-31 23:08:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.44, running 15 = ∑15/20, new result: VAL_ACC: 70.770000
2025-10-31 23:08:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.77, running 12 = ∑12/20, waiting for 15 jobs, finished 3 jobs
2025-10-31 23:08:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.77, running 12 = ∑12/20, waiting for 12 jobs
2025-10-31 23:08:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.77, running 12 = ∑12/20, new result: VAL_ACC: 69.940000
2025-10-31 23:08:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.77, running 12 = ∑12/20, new result: VAL_ACC: 69.680000
2025-10-31 23:08:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.77, running 12 = ∑12/20, new result: VAL_ACC: 70.380000
2025-10-31 23:08:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.77, running 9 = ∑9/20, waiting for 12 jobs, finished 3 jobs
2025-10-31 23:08:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.77, running 9 = ∑9/20, waiting for 9 jobs
2025-10-31 23:09:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.77, running 9 = ∑9/20, new result: VAL_ACC: 71.130000
2025-10-31 23:09:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 70.77, running 9 = ∑9/20, new result: VAL_ACC: 69.870000
2025-10-31 23:09:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 7 = ∑7/20, waiting for 9 jobs, finished 2 jobs
2025-10-31 23:09:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 7 = ∑7/20, waiting for 7 jobs
2025-10-31 23:09:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 7 = ∑7/20, new result: VAL_ACC: 70.170000
2025-10-31 23:09:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 7 = ∑7/20, new result: VAL_ACC: 69.900000
2025-10-31 23:09:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 5 = ∑5/20, waiting for 7 jobs, finished 2 jobs
2025-10-31 23:09:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 5 = ∑5/20, waiting for 5 jobs
2025-10-31 23:09:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 5 = ∑5/20, new result: VAL_ACC: 70.200000
2025-10-31 23:09:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 5 = ∑5/20, new result: VAL_ACC: 70.260000
2025-10-31 23:09:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-10-31 23:09:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 3 = ∑3/20, waiting for 3 jobs
2025-10-31 23:10:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 3 = ∑3/20, new result: VAL_ACC: 70.300000
2025-10-31 23:10:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-10-31 23:10:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 23:11:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 2 = ∑2/20, new result: VAL_ACC: 69.780000
2025-10-31 23:11:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 23:11:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 1 = ∑1/20, waiting for 1 job
2025-10-31 23:13:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 1 = ∑1/20, new result: VAL_ACC: 70.340000
2025-10-31 23:13:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, waiting for 1 job, finished 1 job
2025-10-31 23:15:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #1/20
2025-10-31 23:15:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #2/20
2025-10-31 23:15:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #3/20
2025-10-31 23:15:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #4/20
2025-10-31 23:15:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #5/20
2025-10-31 23:15:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #6/20
2025-10-31 23:15:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #7/20
2025-10-31 23:15:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #8/20
2025-10-31 23:15:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #9/20
2025-10-31 23:15:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #10/20
2025-10-31 23:15:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #11/20
2025-10-31 23:15:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #12/20
2025-10-31 23:15:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #13/20
2025-10-31 23:15:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #14/20
2025-10-31 23:15:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #15/20
2025-10-31 23:15:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #16/20
2025-10-31 23:15:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #17/20
2025-10-31 23:15:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #18/20
2025-10-31 23:15:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #19/20
2025-10-31 23:15:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, getting new HP set #20/20
2025-10-31 23:15:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, requested 20 jobs, got 20, 5.33 s/job
2025-10-31 23:15:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #1/20 start
2025-10-31 23:15:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #2/20 start
2025-10-31 23:15:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #3/20 start
2025-10-31 23:15:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #4/20 start
2025-10-31 23:15:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #5/20 start
2025-10-31 23:15:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #6/20 start
2025-10-31 23:15:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #7/20 start
2025-10-31 23:15:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #8/20 start
2025-10-31 23:15:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #9/20 start
2025-10-31 23:15:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #10/20 start
2025-10-31 23:15:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #11/20 start
2025-10-31 23:15:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #12/20 start
2025-10-31 23:15:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #13/20 start
2025-10-31 23:15:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #14/20 start
2025-10-31 23:15:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #15/20 start
2025-10-31 23:15:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #16/20 start
2025-10-31 23:15:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #17/20 start
2025-10-31 23:15:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #18/20 start
2025-10-31 23:15:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #19/20 start
2025-10-31 23:15:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, eval #20/20 start
2025-10-31 23:15:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, starting new job
2025-10-31 23:15:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 1 = ∑1/20, started new job
2025-10-31 23:15:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 1 = ∑1/20, starting new job
2025-10-31 23:15:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 2 = ∑2/20, started new job
2025-10-31 23:15:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 2 = ∑2/20, starting new job
2025-10-31 23:16:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/unknown 2/1 = ∑3/20, started new job
2025-10-31 23:16:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/unknown 2/1 = ∑3/20, starting new job
2025-10-31 23:16:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/pending 2/3 = ∑5/20, started new job
2025-10-31 23:16:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/pending 2/3 = ∑5/20, starting new job
2025-10-31 23:16:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/pending 2/4 = ∑6/20, started new job
2025-10-31 23:16:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/unknown 6/1 = ∑7/20, started new job
2025-10-31 23:16:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 8 = ∑8/20, started new job
2025-10-31 23:16:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/unknown 8/2 = ∑10/20, started new job
2025-10-31 23:16:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/unknown 10/1 = ∑11/20, started new job
2025-10-31 23:16:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/pending/unknown 10/1/2 = ∑13/20, started new job
2025-10-31 23:16:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/pending/unknown 10/3/2 = ∑15/20, started new job
2025-10-31 23:16:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/pending 10/6 = ∑16/20, started new job
2025-10-31 23:17:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/unknown 16/1 = ∑17/20, started new job
2025-10-31 23:17:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/pending/unknown 16/1/1 = ∑18/20, started new job
2025-10-31 23:17:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/unknown 18/1 = ∑19/20, started new job
2025-10-31 23:17:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/pending/unknown 18/1/1 = ∑20/20, started new job
2025-10-31 23:17:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running/pending/unknown 18/1/1 = ∑20/20, waiting for 20 jobs
2025-10-31 23:17:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 20 = ∑20/20, waiting for 20 jobs
2025-10-31 23:42:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 20 = ∑20/20, new result: VAL_ACC: 70.680000
2025-10-31 23:42:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-10-31 23:42:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 19 = ∑19/20, waiting for 19 jobs
2025-10-31 23:42:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 19 = ∑19/20, new result: VAL_ACC: 70.570000
2025-10-31 23:42:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-10-31 23:42:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 18 = ∑18/20, waiting for 18 jobs
2025-10-31 23:42:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 18 = ∑18/20, new result: VAL_ACC: 71.110000
2025-10-31 23:42:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 18 = ∑18/20, new result: VAL_ACC: 71.260000
2025-10-31 23:42:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.13, running 18 = ∑18/20, new result: VAL_ACC: 70.240000
2025-10-31 23:42:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 15 = ∑15/20, waiting for 18 jobs, finished 3 jobs
2025-10-31 23:42:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 15 = ∑15/20, waiting for 15 jobs
2025-10-31 23:42:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 15 = ∑15/20, new result: VAL_ACC: 71.070000
2025-10-31 23:42:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 15 = ∑15/20, new result: VAL_ACC: 71.170000
2025-10-31 23:43:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 13 = ∑13/20, waiting for 15 jobs, finished 2 jobs
2025-10-31 23:43:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 13 = ∑13/20, waiting for 13 jobs
2025-10-31 23:43:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 13 = ∑13/20, new result: VAL_ACC: 71.030000
2025-10-31 23:43:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 13 = ∑13/20, new result: VAL_ACC: 70.680000
2025-10-31 23:43:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 11 = ∑11/20, waiting for 13 jobs, finished 2 jobs
2025-10-31 23:43:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 11 = ∑11/20, waiting for 11 jobs
2025-10-31 23:43:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 11 = ∑11/20, new result: VAL_ACC: 70.870000
2025-10-31 23:43:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 11 = ∑11/20, new result: VAL_ACC: 71.370000
2025-10-31 23:43:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 11 = ∑11/20, new result: VAL_ACC: 71.320000
2025-10-31 23:43:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.26, running 11 = ∑11/20, new result: VAL_ACC: 71.070000
2025-10-31 23:44:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 7 = ∑7/20, waiting for 11 jobs, finished 4 jobs
2025-10-31 23:44:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 7 = ∑7/20, waiting for 7 jobs
2025-10-31 23:44:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 7 = ∑7/20, new result: VAL_ACC: 70.660000
2025-10-31 23:44:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 7 = ∑7/20, new result: VAL_ACC: 71.250000
2025-10-31 23:44:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 7 = ∑7/20, new result: VAL_ACC: 70.820000
2025-10-31 23:44:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 4 = ∑4/20, waiting for 7 jobs, finished 3 jobs
2025-10-31 23:44:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 4 = ∑4/20, waiting for 4 jobs
2025-10-31 23:44:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 4 = ∑4/20, new result: VAL_ACC: 71.050000
2025-10-31 23:44:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 4 = ∑4/20, new result: VAL_ACC: 70.980000
2025-10-31 23:44:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 2 = ∑2/20, waiting for 4 jobs, finished 2 jobs
2025-10-31 23:44:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 2 = ∑2/20, waiting for 2 jobs
2025-10-31 23:45:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 2 = ∑2/20, new result: VAL_ACC: 70.810000
2025-10-31 23:46:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-10-31 23:46:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 1 = ∑1/20, waiting for 1 job
2025-10-31 23:50:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 1 = ∑1/20, new result: VAL_ACC: 71.080000
2025-10-31 23:51:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, waiting for 1 job, finished 1 job
2025-10-31 23:52:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #1/20
2025-10-31 23:52:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #2/20
2025-10-31 23:52:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #3/20
2025-10-31 23:52:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #4/20
2025-10-31 23:52:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #5/20
2025-10-31 23:52:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #6/20
2025-10-31 23:52:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #7/20
2025-10-31 23:52:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #8/20
2025-10-31 23:52:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #9/20
2025-10-31 23:52:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #10/20
2025-10-31 23:52:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #11/20
2025-10-31 23:53:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #12/20
2025-10-31 23:53:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #13/20
2025-10-31 23:53:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #14/20
2025-10-31 23:53:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #15/20
2025-10-31 23:53:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #16/20
2025-10-31 23:53:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #17/20
2025-10-31 23:53:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #18/20
2025-10-31 23:53:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #19/20
2025-10-31 23:53:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, getting new HP set #20/20
2025-10-31 23:53:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, requested 20 jobs, got 20, 6.02 s/job
2025-10-31 23:53:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #1/20 start
2025-10-31 23:53:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #2/20 start
2025-10-31 23:53:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #3/20 start
2025-10-31 23:53:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #4/20 start
2025-10-31 23:53:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #5/20 start
2025-10-31 23:53:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #6/20 start
2025-10-31 23:53:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #7/20 start
2025-10-31 23:53:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #8/20 start
2025-10-31 23:53:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #9/20 start
2025-10-31 23:53:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #10/20 start
2025-10-31 23:53:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #11/20 start
2025-10-31 23:53:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #12/20 start
2025-10-31 23:53:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #13/20 start
2025-10-31 23:53:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #14/20 start
2025-10-31 23:53:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #15/20 start
2025-10-31 23:53:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #16/20 start
2025-10-31 23:53:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #17/20 start
2025-10-31 23:53:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #18/20 start
2025-10-31 23:53:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #19/20 start
2025-10-31 23:53:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, eval #20/20 start
2025-10-31 23:53:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, starting new job
2025-10-31 23:53:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, pending 1 = ∑1/20, started new job
2025-10-31 23:53:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, pending 1 = ∑1/20, starting new job
2025-10-31 23:53:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, pending/unknown 1/2 = ∑3/20, started new job
2025-10-31 23:53:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, pending/unknown 1/2 = ∑3/20, starting new job
2025-10-31 23:53:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/unknown 3/1 = ∑4/20, started new job
2025-10-31 23:53:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/unknown 3/1 = ∑4/20, starting new job
2025-10-31 23:53:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/unknown 4/1 = ∑5/20, started new job
2025-10-31 23:53:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/pending/unknown 4/1/1 = ∑6/20, started new job
2025-10-31 23:53:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/pending/unknown 4/2/2 = ∑8/20, started new job
2025-10-31 23:53:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/pending/unknown 4/4/1 = ∑9/20, started new job
2025-10-31 23:53:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/unknown 9/1 = ∑10/20, started new job
2025-10-31 23:53:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/unknown 10/1 = ∑11/20, started new job
2025-10-31 23:54:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/pending/unknown 10/1/1 = ∑12/20, started new job
2025-10-31 23:54:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/pending/unknown 10/2/2 = ∑14/20, started new job
2025-10-31 23:54:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/unknown 14/3 = ∑17/20, started new job
2025-10-31 23:54:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/pending/unknown 14/3/3 = ∑20/20, started new job
2025-10-31 23:54:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/pending/unknown 14/3/3 = ∑20/20, waiting for 20 jobs
2025-10-31 23:54:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running/pending 14/6 = ∑20/20, waiting for 20 jobs
2025-10-31 23:54:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 00:24:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 20 = ∑20/20, new result: VAL_ACC: 70.850000
2025-11-01 00:24:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 20 = ∑20/20, new result: VAL_ACC: 71.040000
2025-11-01 00:24:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 20 = ∑20/20, new result: VAL_ACC: 70.510000
2025-11-01 00:24:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 20 = ∑20/20, new result: VAL_ACC: 70.590000
2025-11-01 00:24:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.37, running 20 = ∑20/20, new result: VAL_ACC: 71.480000
2025-11-01 00:25:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, waiting for 20 jobs, finished 5 jobs
2025-11-01 00:25:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 00:25:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 70.860000
2025-11-01 00:25:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 70.990000
2025-11-01 00:25:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 70.820000
2025-11-01 00:25:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 71.570000
2025-11-01 00:25:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 70.870000
2025-11-01 00:25:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 71.400000
2025-11-01 00:25:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 71.310000
2025-11-01 00:25:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 71.550000
2025-11-01 00:25:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 70.950000
2025-11-01 00:25:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.48, running 15 = ∑15/20, new result: VAL_ACC: 71.020000
2025-11-01 00:26:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 15 jobs, finished 10 jobs
2025-11-01 00:26:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 00:26:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.650000
2025-11-01 00:26:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.350000
2025-11-01 00:26:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 71.050000
2025-11-01 00:27:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 5 jobs, finished 3 jobs
2025-11-01 00:27:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 00:27:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, new result: VAL_ACC: 71.230000
2025-11-01 00:27:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 00:27:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 1 job
2025-11-01 00:28:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, new result: VAL_ACC: 71.190000
2025-11-01 00:28:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 1 job, finished 1 job
2025-11-01 00:30:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 00:30:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 00:30:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 00:30:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 00:30:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 00:30:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 00:30:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 00:30:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 00:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 00:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 00:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 00:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 00:30:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 00:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 00:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 00:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 00:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 00:31:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 00:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 00:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 00:31:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 6.77 s/job
2025-11-01 00:31:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 00:31:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 00:31:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 00:31:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 00:31:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 00:31:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 00:31:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 00:31:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 00:31:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 00:31:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 00:31:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 00:31:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 00:31:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 00:31:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 00:31:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 00:31:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 00:31:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 00:31:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 00:31:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 00:31:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 00:31:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 00:31:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 2 = ∑2/20, started new job
2025-11-01 00:31:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 2 = ∑2/20, starting new job
2025-11-01 00:31:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 3 = ∑3/20, started new job
2025-11-01 00:31:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 3 = ∑3/20, starting new job
2025-11-01 00:31:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 00:31:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 00:31:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/1/1 = ∑5/20, started new job
2025-11-01 00:31:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/1/2 = ∑6/20, started new job
2025-11-01 00:31:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 6/1 = ∑7/20, started new job
2025-11-01 00:32:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 7/1 = ∑8/20, started new job
2025-11-01 00:32:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 7/2 = ∑9/20, started new job
2025-11-01 00:32:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 9/1 = ∑10/20, started new job
2025-11-01 00:32:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 9/1/3 = ∑13/20, started new job
2025-11-01 00:32:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 9/4/3 = ∑16/20, started new job
2025-11-01 00:32:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 16/1 = ∑17/20, started new job
2025-11-01 00:32:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 16/1/1 = ∑18/20, started new job
2025-11-01 00:33:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 18/1/1 = ∑20/20, started new job
2025-11-01 00:33:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 18/1/1 = ∑20/20, waiting for 20 jobs
2025-11-01 00:33:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 00:34:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 00:53:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 65.210000
2025-11-01 00:53:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 00:53:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 00:56:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 69.220000
2025-11-01 00:56:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 00:56:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 00:57:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 69.660000
2025-11-01 00:57:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 00:57:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 00:57:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 69.370000
2025-11-01 00:57:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 00:57:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 00:57:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 70.610000
2025-11-01 00:57:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 00:58:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 00:58:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, new result: VAL_ACC: 69.670000
2025-11-01 00:58:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 00:58:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 00:58:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 70.300000
2025-11-01 00:58:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 00:58:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 00:59:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 69.900000
2025-11-01 00:59:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 00:59:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 00:59:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 71.040000
2025-11-01 00:59:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-01 00:59:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 01:00:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, new result: VAL_ACC: 71.020000
2025-11-01 01:00:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 01:00:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 01:00:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, new result: VAL_ACC: 71.560000
2025-11-01 01:00:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-01 01:00:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 01:00:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 70.660000
2025-11-01 01:00:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 70.620000
2025-11-01 01:00:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 9 jobs, finished 2 jobs
2025-11-01 01:00:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 01:00:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 70.800000
2025-11-01 01:00:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 71.320000
2025-11-01 01:00:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 70.910000
2025-11-01 01:01:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 7 jobs, finished 3 jobs
2025-11-01 01:01:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 01:01:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, new result: VAL_ACC: 70.680000
2025-11-01 01:01:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-01 01:01:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 01:01:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 70.980000
2025-11-01 01:01:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-01 01:01:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 01:02:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, new result: VAL_ACC: 70.770000
2025-11-01 01:02:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 01:02:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 1 job
2025-11-01 01:03:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, new result: VAL_ACC: 69.820000
2025-11-01 01:03:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 1 job, finished 1 job
2025-11-01 01:06:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 01:06:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 01:06:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 01:06:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 01:06:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 01:06:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 01:06:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 01:06:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 01:06:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 01:06:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 01:06:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 01:06:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 01:06:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 01:06:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 01:06:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 01:06:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 01:06:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 01:06:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 01:06:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 01:06:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 01:06:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 7.92 s/job
2025-11-01 01:06:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 01:06:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 01:06:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 01:06:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 01:06:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 01:06:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 01:06:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 01:06:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 01:06:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 01:06:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 01:06:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 01:06:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 01:06:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 01:06:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 01:06:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 01:06:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 01:06:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 01:06:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 01:06:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 01:06:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 01:06:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 01:06:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 3 = ∑3/20, started new job
2025-11-01 01:06:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 3 = ∑3/20, starting new job
2025-11-01 01:06:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 3/3 = ∑6/20, started new job
2025-11-01 01:06:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 3/3 = ∑6/20, starting new job
2025-11-01 01:06:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/3/2 = ∑8/20, started new job
2025-11-01 01:07:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/5/2 = ∑10/20, started new job
2025-11-01 01:07:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 3/8 = ∑11/20, started new job
2025-11-01 01:07:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 11/1 = ∑12/20, started new job
2025-11-01 01:07:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 11/1/1 = ∑13/20, started new job
2025-11-01 01:07:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 13/1 = ∑14/20, started new job
2025-11-01 01:07:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 14/2 = ∑16/20, started new job
2025-11-01 01:07:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 16/1 = ∑17/20, started new job
2025-11-01 01:07:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 17/2/1 = ∑20/20, started new job
2025-11-01 01:07:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 17/2/1 = ∑20/20, waiting for 20 jobs
2025-11-01 01:07:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 01:08:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 01:18:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 67.620000
2025-11-01 01:18:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 01:18:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 01:23:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 70.820000
2025-11-01 01:23:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 01:23:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 01:26:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 69.040000
2025-11-01 01:26:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 01:26:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 01:28:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 70.630000
2025-11-01 01:28:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 01:28:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 01:30:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 70.400000
2025-11-01 01:30:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 01:30:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 01:30:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, new result: VAL_ACC: 70.600000
2025-11-01 01:30:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 01:30:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 01:31:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 70.820000
2025-11-01 01:31:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 01:31:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 01:31:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 71.040000
2025-11-01 01:31:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 01:31:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 01:32:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 71.280000
2025-11-01 01:33:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-01 01:33:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 01:34:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, new result: VAL_ACC: 69.130000
2025-11-01 01:34:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 01:34:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 01:35:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, new result: VAL_ACC: 70.430000
2025-11-01 01:35:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-01 01:35:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 01:36:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 69.440000
2025-11-01 01:36:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-01 01:36:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 01:36:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, new result: VAL_ACC: 70.520000
2025-11-01 01:36:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-01 01:36:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 01:36:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 69.360000
2025-11-01 01:36:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 70.290000
2025-11-01 01:37:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 7 jobs, finished 2 jobs
2025-11-01 01:37:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 01:37:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 69.300000
2025-11-01 01:37:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-01 01:37:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 01:37:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, new result: VAL_ACC: 70.340000
2025-11-01 01:37:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, new result: VAL_ACC: 69.810000
2025-11-01 01:38:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 4 jobs, finished 2 jobs
2025-11-01 01:38:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 01:38:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, new result: VAL_ACC: 69.420000
2025-11-01 01:38:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 01:38:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 1 job
2025-11-01 01:38:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, new result: VAL_ACC: 69.900000
2025-11-01 01:38:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 1 job, finished 1 job
2025-11-01 01:41:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 01:42:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 01:42:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 01:42:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 01:42:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 01:42:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 01:42:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 01:42:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 01:42:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 01:42:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 01:42:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 01:42:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 01:42:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 01:42:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 01:42:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 01:42:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 01:42:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 01:42:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 01:42:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 01:42:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 01:42:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 10.16 s/job
2025-11-01 01:42:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 01:42:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 01:42:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 01:42:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 01:42:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 01:42:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 01:42:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 01:42:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 01:42:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 01:42:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 01:42:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 01:42:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 01:42:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 01:42:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 01:42:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 01:42:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 01:42:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 01:42:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 01:42:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 01:42:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 01:42:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 01:42:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 3 = ∑3/20, started new job
2025-11-01 01:42:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 3 = ∑3/20, starting new job
2025-11-01 01:42:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 3/1 = ∑4/20, started new job
2025-11-01 01:42:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 3/1 = ∑4/20, starting new job
2025-11-01 01:42:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/1/3 = ∑7/20, started new job
2025-11-01 01:42:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/4/3 = ∑10/20, started new job
2025-11-01 01:43:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 10/3 = ∑13/20, started new job
2025-11-01 01:43:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 13/3 = ∑16/20, started new job
2025-11-01 01:43:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 13/3/3 = ∑19/20, started new job
2025-11-01 01:43:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 13/6/1 = ∑20/20, started new job
2025-11-01 01:43:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 13/6/1 = ∑20/20, waiting for 20 jobs
2025-11-01 01:43:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 13/7 = ∑20/20, waiting for 20 jobs
2025-11-01 01:43:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 01:59:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 48.790000
2025-11-01 01:59:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 01:59:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 02:02:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 71.230000
2025-11-01 02:02:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 02:02:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 02:03:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 70.560000
2025-11-01 02:03:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 02:03:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 02:03:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 70.660000
2025-11-01 02:03:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 70.820000
2025-11-01 02:03:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 17 jobs, finished 2 jobs
2025-11-01 02:03:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 02:04:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, new result: VAL_ACC: 70.670000
2025-11-01 02:04:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 02:04:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 02:05:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 61.350000
2025-11-01 02:05:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 02:05:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 02:05:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 67.440000
2025-11-01 02:05:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 02:05:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 02:05:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 64.700000
2025-11-01 02:05:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 65.660000
2025-11-01 02:06:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/completed 7/3 = ∑10/20, waiting for 12 jobs, finished 2 jobs
2025-11-01 02:06:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/completed 7/3 = ∑10/20, waiting for 10 jobs
2025-11-01 02:06:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/completed 7/3 = ∑10/20, new result: VAL_ACC: 65.440000
2025-11-01 02:06:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/completed 7/3 = ∑10/20, new result: VAL_ACC: 65.590000
2025-11-01 02:06:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 10 jobs, finished 3 jobs
2025-11-01 02:06:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 02:12:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 71.270000
2025-11-01 02:12:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-01 02:12:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 02:13:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, new result: VAL_ACC: 70.540000
2025-11-01 02:13:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-01 02:13:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 02:14:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.830000
2025-11-01 02:14:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-01 02:14:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 02:14:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, new result: VAL_ACC: 70.660000
2025-11-01 02:14:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-01 02:14:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 02:14:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 70.570000
2025-11-01 02:15:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-01 02:15:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 02:15:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, new result: VAL_ACC: 70.860000
2025-11-01 02:15:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 02:15:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 1 job
2025-11-01 02:16:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, new result: VAL_ACC: 70.990000
2025-11-01 02:16:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 1 job, finished 1 job
2025-11-01 02:21:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 02:21:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 02:21:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 02:21:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 02:21:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 02:21:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 02:21:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 02:21:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 02:21:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 02:21:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 02:21:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 02:21:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 02:21:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 02:21:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 02:21:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 02:21:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 02:21:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 02:21:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 02:21:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 02:21:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 02:21:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 14.99 s/job
2025-11-01 02:21:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 02:21:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 02:21:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 02:21:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 02:21:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 02:21:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 02:21:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 02:21:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 02:21:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 02:21:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 02:21:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 02:21:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 02:21:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 02:21:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 02:21:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 02:21:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 02:21:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 02:21:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 02:21:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 02:21:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 02:21:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 02:21:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 1 = ∑1/20, started new job
2025-11-01 02:21:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 1 = ∑1/20, starting new job
2025-11-01 02:22:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 1/3 = ∑4/20, started new job
2025-11-01 02:22:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 1/3 = ∑4/20, starting new job
2025-11-01 02:22:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 4/1 = ∑5/20, started new job
2025-11-01 02:22:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 5/1 = ∑6/20, started new job
2025-11-01 02:22:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 5/1/2 = ∑8/20, started new job
2025-11-01 02:22:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 5/3/3 = ∑11/20, started new job
2025-11-01 02:22:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 11/1 = ∑12/20, started new job
2025-11-01 02:22:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 12/1 = ∑13/20, started new job
2025-11-01 02:22:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 12/1/1 = ∑14/20, started new job
2025-11-01 02:23:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 14/1 = ∑15/20, started new job
2025-11-01 02:23:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 14/1/2 = ∑17/20, started new job
2025-11-01 02:23:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 14/1/3 = ∑18/20, started new job
2025-11-01 02:23:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 18/2 = ∑20/20, started new job
2025-11-01 02:23:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 18/2 = ∑20/20, waiting for 20 jobs
2025-11-01 02:23:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 02:31:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 60.810000
2025-11-01 02:31:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 02:31:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 02:44:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 63.330000
2025-11-01 02:44:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 02:44:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 02:45:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 63.450000
2025-11-01 02:45:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 02:45:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 02:45:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 62.890000
2025-11-01 02:45:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 02:45:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 02:45:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 70.110000
2025-11-01 02:45:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 02:45:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 02:45:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, new result: VAL_ACC: 62.250000
2025-11-01 02:46:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 02:46:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 02:49:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 70.300000
2025-11-01 02:50:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 02:50:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 02:50:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 70.030000
2025-11-01 02:50:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 69.720000
2025-11-01 02:50:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 13 jobs, finished 2 jobs
2025-11-01 02:50:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 02:50:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, new result: VAL_ACC: 70.540000
2025-11-01 02:50:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 02:50:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 02:50:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, new result: VAL_ACC: 70.210000
2025-11-01 02:50:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, new result: VAL_ACC: 69.860000
2025-11-01 02:50:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, new result: VAL_ACC: 70.400000
2025-11-01 02:51:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 10 jobs, finished 3 jobs
2025-11-01 02:51:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 02:51:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 70.480000
2025-11-01 02:51:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 70.680000
2025-11-01 02:51:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 70.690000
2025-11-01 02:51:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 69.930000
2025-11-01 02:52:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 7 jobs, finished 4 jobs
2025-11-01 02:52:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 02:52:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 69.950000
2025-11-01 02:52:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 70.440000
2025-11-01 02:52:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 3 jobs, finished 2 jobs
2025-11-01 02:52:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 1 job
2025-11-01 02:52:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, new result: VAL_ACC: 70.240000
2025-11-01 02:53:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 1 job, finished 1 job
2025-11-01 02:58:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 02:58:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 02:58:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 02:58:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 02:58:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 02:58:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 02:58:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 02:58:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 02:58:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 02:58:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 02:58:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 02:58:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 02:58:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 02:58:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 02:58:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 02:58:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 02:58:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 02:58:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 02:58:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 02:58:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 02:58:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 17.16 s/job
2025-11-01 02:58:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 02:58:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 02:58:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 02:58:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 02:58:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 02:58:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 02:58:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 02:59:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 02:59:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 02:59:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 02:59:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 02:59:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 02:59:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 02:59:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 02:59:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 02:59:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 02:59:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 02:59:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 02:59:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 02:59:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 02:59:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 02:59:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 2/1 = ∑3/20, started new job
2025-11-01 02:59:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 2/1 = ∑3/20, starting new job
2025-11-01 02:59:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 02:59:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 02:59:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/1/3 = ∑7/20, started new job
2025-11-01 02:59:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/4/3 = ∑10/20, started new job
2025-11-01 02:59:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 10/1 = ∑11/20, started new job
2025-11-01 02:59:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 10/1/1 = ∑12/20, started new job
2025-11-01 02:59:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 12/3 = ∑15/20, started new job
2025-11-01 03:00:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 15/3 = ∑18/20, started new job
2025-11-01 03:00:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 18/1 = ∑19/20, started new job
2025-11-01 03:00:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 19/1 = ∑20/20, started new job
2025-11-01 03:00:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 03:00:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 03:00:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 03:10:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 67.860000
2025-11-01 03:11:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 03:11:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 03:11:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 68.180000
2025-11-01 03:11:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 03:11:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 03:11:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 67.850000
2025-11-01 03:11:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 03:11:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 03:23:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 67.220000
2025-11-01 03:23:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 03:23:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 03:23:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 64.860000
2025-11-01 03:23:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 03:23:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 03:23:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, new result: VAL_ACC: 67.250000
2025-11-01 03:24:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 03:24:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 03:28:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 69.060000
2025-11-01 03:29:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 03:29:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 03:29:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 65.970000
2025-11-01 03:29:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 03:29:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 03:29:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 69.390000
2025-11-01 03:29:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-01 03:29:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 03:29:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, new result: VAL_ACC: 66.560000
2025-11-01 03:30:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 03:30:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 03:30:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, new result: VAL_ACC: 68.170000
2025-11-01 03:30:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-01 03:30:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 03:30:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 66.940000
2025-11-01 03:31:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-01 03:31:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 03:31:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, new result: VAL_ACC: 70.560000
2025-11-01 03:31:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, new result: VAL_ACC: 68.180000
2025-11-01 03:31:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, new result: VAL_ACC: 71.060000
2025-11-01 03:31:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 8 jobs, finished 3 jobs
2025-11-01 03:31:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 03:31:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 67.700000
2025-11-01 03:31:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.930000
2025-11-01 03:32:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-11-01 03:32:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 03:32:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 67.430000
2025-11-01 03:32:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-01 03:32:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 03:33:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, new result: VAL_ACC: 70.300000
2025-11-01 03:33:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 03:34:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 1 job
2025-11-01 03:34:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, new result: VAL_ACC: 70.290000
2025-11-01 03:34:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 1 job, finished 1 job
2025-11-01 03:39:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 03:39:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 03:39:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 03:39:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 03:39:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 03:39:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 03:39:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 03:39:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 03:39:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 03:39:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 03:39:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 03:39:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 03:39:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 03:39:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 03:39:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 03:39:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 03:39:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 03:39:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 03:39:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 03:39:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 03:39:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 15.75 s/job
2025-11-01 03:39:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 03:39:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 03:39:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 03:39:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 03:39:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 03:39:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 03:39:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 03:39:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 03:39:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 03:39:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 03:39:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 03:39:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 03:39:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 03:39:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 03:39:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 03:39:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 03:39:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 03:39:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 03:39:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 03:39:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 03:40:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 03:40:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, unknown 2 = ∑2/20, started new job
2025-11-01 03:40:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, unknown 3 = ∑3/20, starting new job
2025-11-01 03:40:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, unknown 3 = ∑3/20, started new job
2025-11-01 03:40:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 3 = ∑3/20, starting new job
2025-11-01 03:40:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 03:40:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 03:40:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/1/1 = ∑5/20, started new job
2025-11-01 03:40:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/2/3 = ∑8/20, started new job
2025-11-01 03:40:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 3/5/2 = ∑10/20, started new job
2025-11-01 03:40:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 10/2 = ∑12/20, started new job
2025-11-01 03:40:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 10/3 = ∑13/20, started new job
2025-11-01 03:40:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 13/1 = ∑14/20, started new job
2025-11-01 03:40:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 13/1/2 = ∑16/20, started new job
2025-11-01 03:40:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 13/3/1 = ∑17/20, started new job
2025-11-01 03:40:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 17/2 = ∑19/20, started new job
2025-11-01 03:41:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 17/2/1 = ∑20/20, started new job
2025-11-01 03:41:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 17/2/1 = ∑20/20, waiting for 20 jobs
2025-11-01 03:41:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-11-01 03:41:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 03:44:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 46.880000
2025-11-01 03:45:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 03:45:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 03:49:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 65.030000
2025-11-01 03:50:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 03:50:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 03:50:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 64.950000
2025-11-01 03:50:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 65.240000
2025-11-01 03:50:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 18 jobs, finished 2 jobs
2025-11-01 03:50:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 03:50:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 64.780000
2025-11-01 03:50:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 64.690000
2025-11-01 03:51:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 16 jobs, finished 2 jobs
2025-11-01 03:51:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 03:51:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 64.730000
2025-11-01 03:51:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 03:51:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 03:56:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 68.830000
2025-11-01 03:56:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 03:56:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 03:57:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 70.890000
2025-11-01 03:58:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-01 03:58:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 03:58:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, new result: VAL_ACC: 70.220000
2025-11-01 03:58:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 03:58:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 03:58:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, new result: VAL_ACC: 69.150000
2025-11-01 03:59:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-01 03:59:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 03:59:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 70.280000
2025-11-01 03:59:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-01 03:59:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 03:59:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, new result: VAL_ACC: 69.950000
2025-11-01 04:00:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-01 04:00:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 04:07:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 53.210000
2025-11-01 04:07:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-01 04:07:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 04:11:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, new result: VAL_ACC: 70.750000
2025-11-01 04:12:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-01 04:12:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 04:12:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.880000
2025-11-01 04:12:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.910000
2025-11-01 04:12:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-11-01 04:12:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 04:12:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 71.160000
2025-11-01 04:12:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 70.650000
2025-11-01 04:13:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 3 jobs, finished 2 jobs
2025-11-01 04:13:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 1 job
2025-11-01 04:13:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, new result: VAL_ACC: 71.020000
2025-11-01 04:13:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 1 job, finished 1 job
2025-11-01 04:18:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 04:18:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 04:18:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 04:18:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 04:18:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 04:18:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 04:18:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 04:18:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 04:18:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 04:18:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 04:18:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 04:18:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 04:18:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 04:18:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 04:18:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 04:18:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 04:18:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 04:18:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 04:18:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 04:18:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 04:18:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 15.50 s/job
2025-11-01 04:18:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 04:18:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 04:18:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 04:18:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 04:18:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 04:18:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 04:18:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 04:18:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 04:19:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 04:19:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 04:19:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 04:19:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 04:19:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 04:19:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 04:19:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 04:19:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 04:19:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 04:19:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 04:19:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 04:19:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 04:19:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 04:19:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, started new job
2025-11-01 04:19:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, starting new job
2025-11-01 04:19:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 3/1 = ∑4/20, started new job
2025-11-01 04:19:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 3/1 = ∑4/20, starting new job
2025-11-01 04:19:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 3/4 = ∑7/20, started new job
2025-11-01 04:19:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 7/1 = ∑8/20, started new job
2025-11-01 04:19:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 7/3 = ∑10/20, started new job
2025-11-01 04:19:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 7/4 = ∑11/20, started new job
2025-11-01 04:19:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 7/6 = ∑13/20, started new job
2025-11-01 04:20:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 13/1 = ∑14/20, started new job
2025-11-01 04:20:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 14/1 = ∑15/20, started new job
2025-11-01 04:20:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 15/1 = ∑16/20, started new job
2025-11-01 04:20:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 15/4 = ∑19/20, started new job
2025-11-01 04:20:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 15/4/1 = ∑20/20, started new job
2025-11-01 04:20:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 15/4/1 = ∑20/20, waiting for 20 jobs
2025-11-01 04:20:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 15/5 = ∑20/20, waiting for 20 jobs
2025-11-01 04:20:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 04:28:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 65.890000
2025-11-01 04:28:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 04:28:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 04:31:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 63.620000
2025-11-01 04:31:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 04:31:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 04:31:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 67.120000
2025-11-01 04:32:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 04:32:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 04:35:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 69.980000
2025-11-01 04:35:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 04:35:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 04:36:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 69.180000
2025-11-01 04:36:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 04:36:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 04:37:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, new result: VAL_ACC: 70.130000
2025-11-01 04:37:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 04:37:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 04:38:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 70.270000
2025-11-01 04:39:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 04:39:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 04:46:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 64.500000
2025-11-01 04:46:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 04:46:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 04:48:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 71.190000
2025-11-01 04:49:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-01 04:49:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 04:49:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, new result: VAL_ACC: 70.630000
2025-11-01 04:49:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, new result: VAL_ACC: 70.580000
2025-11-01 04:49:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 11 jobs, finished 2 jobs
2025-11-01 04:49:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 04:49:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 70.570000
2025-11-01 04:49:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 71.120000
2025-11-01 04:50:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 9 jobs, finished 2 jobs
2025-11-01 04:50:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 04:50:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 69.870000
2025-11-01 04:50:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-01 04:50:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 04:50:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, new result: VAL_ACC: 70.770000
2025-11-01 04:50:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, new result: VAL_ACC: 69.170000
2025-11-01 04:51:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 6 jobs, finished 2 jobs
2025-11-01 04:51:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 04:51:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, new result: VAL_ACC: 66.210000
2025-11-01 04:51:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, new result: VAL_ACC: 66.600000
2025-11-01 04:51:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 4 jobs, finished 2 jobs
2025-11-01 04:51:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 04:51:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, new result: VAL_ACC: 66.130000
2025-11-01 04:51:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 04:51:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 1 job
2025-11-01 04:54:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, new result: VAL_ACC: 70.580000
2025-11-01 04:54:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 1 job, finished 1 job
2025-11-01 05:00:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 05:00:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 05:00:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 05:00:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 05:00:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 05:00:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 05:00:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 05:00:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 05:00:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 05:00:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 05:00:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 05:00:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 05:00:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 05:00:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 05:00:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 05:00:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 05:00:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 05:00:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 05:00:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 05:00:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 05:00:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 17.80 s/job
2025-11-01 05:00:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 05:00:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 05:00:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 05:00:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 05:00:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 05:00:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 05:00:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 05:00:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 05:00:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 05:00:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 05:00:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 05:00:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 05:00:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 05:00:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 05:00:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 05:00:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 05:00:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 05:00:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 05:00:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 05:00:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 05:01:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 05:01:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, started new job
2025-11-01 05:01:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, starting new job
2025-11-01 05:01:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 2/1 = ∑3/20, started new job
2025-11-01 05:01:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 2/1 = ∑3/20, starting new job
2025-11-01 05:01:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 2/4 = ∑6/20, started new job
2025-11-01 05:01:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 2/4 = ∑6/20, starting new job
2025-11-01 05:01:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 6/1 = ∑7/20, started new job
2025-11-01 05:01:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 6/1/1 = ∑8/20, started new job
2025-11-01 05:01:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 8/1 = ∑9/20, started new job
2025-11-01 05:01:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 9/1 = ∑10/20, started new job
2025-11-01 05:01:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 9/1/3 = ∑13/20, started new job
2025-11-01 05:02:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 9/4/1 = ∑14/20, started new job
2025-11-01 05:02:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 14/1 = ∑15/20, started new job
2025-11-01 05:02:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 15/1 = ∑16/20, started new job
2025-11-01 05:02:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 16/1 = ∑17/20, started new job
2025-11-01 05:02:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 16/1/1 = ∑18/20, started new job
2025-11-01 05:02:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 16/2/2 = ∑20/20, started new job
2025-11-01 05:02:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 16/2/2 = ∑20/20, waiting for 20 jobs
2025-11-01 05:02:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 05:12:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 64.550000
2025-11-01 05:12:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 05:12:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 05:13:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 65.850000
2025-11-01 05:13:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 05:13:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 05:14:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 66.020000
2025-11-01 05:15:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 05:15:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 05:18:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 70.150000
2025-11-01 05:19:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 05:19:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 05:24:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 71.080000
2025-11-01 05:24:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 05:24:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 05:25:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, new result: VAL_ACC: 71.000000
2025-11-01 05:25:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 05:25:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 05:30:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 70.990000
2025-11-01 05:30:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 05:30:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 05:31:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 70.930000
2025-11-01 05:32:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 05:32:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 05:32:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 70.470000
2025-11-01 05:32:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-01 05:32:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 05:32:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, new result: VAL_ACC: 71.280000
2025-11-01 05:32:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 05:32:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 05:32:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, new result: VAL_ACC: 70.830000
2025-11-01 05:33:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-01 05:33:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 05:33:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 71.180000
2025-11-01 05:33:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 71.130000
2025-11-01 05:33:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 9 jobs, finished 2 jobs
2025-11-01 05:33:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 05:33:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 71.190000
2025-11-01 05:33:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 71.340000
2025-11-01 05:34:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 7 jobs, finished 2 jobs
2025-11-01 05:34:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 05:34:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.790000
2025-11-01 05:34:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 71.060000
2025-11-01 05:34:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.600000
2025-11-01 05:35:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 5 jobs, finished 3 jobs
2025-11-01 05:35:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 05:35:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, new result: VAL_ACC: 69.400000
2025-11-01 05:35:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, new result: VAL_ACC: 71.130000
2025-11-01 05:35:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 2 jobs, finished 2 jobs
2025-11-01 05:42:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 05:42:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 05:42:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 05:42:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 05:42:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 05:42:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 05:42:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 05:42:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 05:42:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 05:42:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 05:42:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 05:42:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 05:42:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 05:42:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 05:42:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 05:42:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 05:42:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 05:42:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 05:42:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 05:42:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 05:42:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 18.95 s/job
2025-11-01 05:42:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 05:42:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 05:42:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 05:42:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 05:42:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 05:42:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 05:42:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 05:42:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 05:42:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 05:42:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 05:42:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 05:42:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 05:42:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 05:42:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 05:42:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 05:42:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 05:42:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 05:42:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 05:42:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 05:42:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 05:42:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 05:42:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 1 = ∑1/20, started new job
2025-11-01 05:43:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending 1 = ∑1/20, starting new job
2025-11-01 05:43:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 1/2 = ∑3/20, started new job
2025-11-01 05:43:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 1/3 = ∑4/20, starting new job
2025-11-01 05:43:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 1/3 = ∑4/20, started new job
2025-11-01 05:43:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 1/3 = ∑4/20, starting new job
2025-11-01 05:43:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 1/3/2 = ∑6/20, started new job
2025-11-01 05:43:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 1/3/3 = ∑7/20, started new job
2025-11-01 05:43:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 7/1 = ∑8/20, started new job
2025-11-01 05:43:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 7/1/1 = ∑9/20, started new job
2025-11-01 05:43:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 9/1 = ∑10/20, started new job
2025-11-01 05:43:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 9/1/3 = ∑13/20, started new job
2025-11-01 05:43:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 9/4/3 = ∑16/20, started new job
2025-11-01 05:43:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 16/1 = ∑17/20, started new job
2025-11-01 05:44:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 17/1 = ∑18/20, started new job
2025-11-01 05:44:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 18/1 = ∑19/20, started new job
2025-11-01 05:44:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 18/1/1 = ∑20/20, started new job
2025-11-01 05:44:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 18/1/1 = ∑20/20, waiting for 20 jobs
2025-11-01 05:44:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 18/2 = ∑20/20, waiting for 20 jobs
2025-11-01 05:44:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 06:03:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 70.910000
2025-11-01 06:03:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 06:03:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 06:04:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 70.770000
2025-11-01 06:04:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 06:04:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 06:05:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 64.210000
2025-11-01 06:05:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 06:05:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 06:05:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 64.540000
2025-11-01 06:06:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 06:06:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 06:06:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 63.960000
2025-11-01 06:06:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 06:06:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 06:07:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, new result: VAL_ACC: 65.850000
2025-11-01 06:07:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 06:07:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 06:08:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 70.840000
2025-11-01 06:08:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 06:08:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 06:09:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 70.640000
2025-11-01 06:10:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 06:10:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 06:10:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 70.780000
2025-11-01 06:10:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 70.000000
2025-11-01 06:10:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 71.400000
2025-11-01 06:10:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 12 jobs, finished 3 jobs
2025-11-01 06:10:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 06:10:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 71.350000
2025-11-01 06:11:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-01 06:11:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 06:11:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, new result: VAL_ACC: 71.270000
2025-11-01 06:11:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-01 06:11:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 06:13:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 69.680000
2025-11-01 06:14:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-01 06:14:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 06:14:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, new result: VAL_ACC: 69.870000
2025-11-01 06:14:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-01 06:14:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 06:14:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.150000
2025-11-01 06:14:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-01 06:14:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 06:15:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, new result: VAL_ACC: 71.320000
2025-11-01 06:15:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-01 06:15:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 06:15:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 68.800000
2025-11-01 06:15:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-01 06:15:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 06:16:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 2 = ∑2/20, new result: VAL_ACC: 70.540000
2025-11-01 06:16:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 06:16:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, waiting for 1 job
2025-11-01 06:17:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 1 = ∑1/20, new result: VAL_ACC: 70.860000
2025-11-01 06:17:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, waiting for 1 job, finished 1 job
2025-11-01 06:24:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #1/20
2025-11-01 06:24:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #2/20
2025-11-01 06:24:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #3/20
2025-11-01 06:24:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #4/20
2025-11-01 06:24:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #5/20
2025-11-01 06:24:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #6/20
2025-11-01 06:24:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #7/20
2025-11-01 06:24:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #8/20
2025-11-01 06:24:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #9/20
2025-11-01 06:24:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #10/20
2025-11-01 06:24:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #11/20
2025-11-01 06:24:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #12/20
2025-11-01 06:24:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #13/20
2025-11-01 06:24:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #14/20
2025-11-01 06:24:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #15/20
2025-11-01 06:24:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #16/20
2025-11-01 06:24:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #17/20
2025-11-01 06:24:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #18/20
2025-11-01 06:24:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #19/20
2025-11-01 06:24:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, getting new HP set #20/20
2025-11-01 06:24:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, requested 20 jobs, got 20, 21.47 s/job
2025-11-01 06:24:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #1/20 start
2025-11-01 06:24:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #2/20 start
2025-11-01 06:24:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #3/20 start
2025-11-01 06:24:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #4/20 start
2025-11-01 06:24:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #5/20 start
2025-11-01 06:24:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #6/20 start
2025-11-01 06:24:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #7/20 start
2025-11-01 06:24:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #8/20 start
2025-11-01 06:24:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #9/20 start
2025-11-01 06:24:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #10/20 start
2025-11-01 06:24:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #11/20 start
2025-11-01 06:24:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #12/20 start
2025-11-01 06:24:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #13/20 start
2025-11-01 06:24:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #14/20 start
2025-11-01 06:24:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #15/20 start
2025-11-01 06:24:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #16/20 start
2025-11-01 06:24:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #17/20 start
2025-11-01 06:25:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #18/20 start
2025-11-01 06:25:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #19/20 start
2025-11-01 06:25:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, eval #20/20 start
2025-11-01 06:25:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, starting new job
2025-11-01 06:25:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, unknown 1 = ∑1/20, started new job
2025-11-01 06:25:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, unknown 2 = ∑2/20, starting new job
2025-11-01 06:25:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, unknown 2 = ∑2/20, started new job
2025-11-01 06:25:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, unknown 2 = ∑2/20, starting new job
2025-11-01 06:25:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending/unknown 2/1 = ∑3/20, started new job
2025-11-01 06:25:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending/unknown 2/1 = ∑3/20, starting new job
2025-11-01 06:25:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending/unknown 3/2 = ∑5/20, started new job
2025-11-01 06:25:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending/unknown 3/2 = ∑5/20, starting new job
2025-11-01 06:25:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, pending/unknown 5/1 = ∑6/20, started new job
2025-11-01 06:25:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown/pending 6/1/1 = ∑8/20, started new job
2025-11-01 06:25:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 8/1 = ∑9/20, started new job
2025-11-01 06:25:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 8/1/1 = ∑10/20, started new job
2025-11-01 06:25:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 10/1 = ∑11/20, started new job
2025-11-01 06:25:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 10/1/1 = ∑12/20, started new job
2025-11-01 06:26:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 10/2/2 = ∑14/20, started new job
2025-11-01 06:26:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 10/4/2 = ∑16/20, started new job
2025-11-01 06:26:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 10/4/3 = ∑17/20, started new job
2025-11-01 06:26:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/unknown 17/2 = ∑19/20, started new job
2025-11-01 06:26:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 17/2/1 = ∑20/20, started new job
2025-11-01 06:26:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending/unknown 17/2/1 = ∑20/20, waiting for 20 jobs
2025-11-01 06:26:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-11-01 06:26:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 06:41:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 20 = ∑20/20, new result: VAL_ACC: 70.350000
2025-11-01 06:42:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 06:42:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 06:42:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 19 = ∑19/20, new result: VAL_ACC: 70.150000
2025-11-01 06:43:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 06:43:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 06:44:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 18 = ∑18/20, new result: VAL_ACC: 70.140000
2025-11-01 06:45:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 06:45:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 06:45:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 17 = ∑17/20, new result: VAL_ACC: 70.460000
2025-11-01 06:45:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 06:45:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 06:46:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 16 = ∑16/20, new result: VAL_ACC: 70.580000
2025-11-01 06:47:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 06:47:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 06:47:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 15 = ∑15/20, new result: VAL_ACC: 65.880000
2025-11-01 06:47:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 06:47:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 06:47:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 14 = ∑14/20, new result: VAL_ACC: 70.840000
2025-11-01 06:48:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 06:48:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 06:48:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 13 = ∑13/20, new result: VAL_ACC: 64.290000
2025-11-01 06:48:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 06:48:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 06:48:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 12 = ∑12/20, new result: VAL_ACC: 71.450000
2025-11-01 06:48:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-01 06:48:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 06:49:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 11 = ∑11/20, new result: VAL_ACC: 71.480000
2025-11-01 06:49:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 06:49:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 06:49:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 10 = ∑10/20, new result: VAL_ACC: 71.290000
2025-11-01 06:50:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-01 06:50:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 06:54:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 9 = ∑9/20, new result: VAL_ACC: 70.570000
2025-11-01 06:54:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-01 06:54:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 06:54:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 8 = ∑8/20, new result: VAL_ACC: 71.090000
2025-11-01 06:55:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-01 06:55:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 06:56:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 7 = ∑7/20, new result: VAL_ACC: 71.050000
2025-11-01 06:57:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-01 06:57:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 06:57:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 6 = ∑6/20, new result: VAL_ACC: 70.740000
2025-11-01 06:57:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-01 06:57:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 06:57:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 5 = ∑5/20, new result: VAL_ACC: 70.060000
2025-11-01 06:58:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-01 06:58:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 06:58:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 4 = ∑4/20, new result: VAL_ACC: 70.900000
2025-11-01 06:58:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-01 06:58:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 06:58:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 71.670000
2025-11-01 06:58:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.57, running 3 = ∑3/20, new result: VAL_ACC: 71.310000
2025-11-01 06:59:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 3 jobs, finished 2 jobs
2025-11-01 06:59:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 1 job
2025-11-01 07:00:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, new result: VAL_ACC: 71.190000
2025-11-01 07:00:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, waiting for 1 job, finished 1 job
2025-11-01 07:07:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #1/20
2025-11-01 07:07:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #2/20
2025-11-01 07:07:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #3/20
2025-11-01 07:07:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #4/20
2025-11-01 07:07:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #5/20
2025-11-01 07:07:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #6/20
2025-11-01 07:07:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #7/20
2025-11-01 07:07:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #8/20
2025-11-01 07:07:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #9/20
2025-11-01 07:08:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #10/20
2025-11-01 07:08:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #11/20
2025-11-01 07:08:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #12/20
2025-11-01 07:08:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #13/20
2025-11-01 07:08:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #14/20
2025-11-01 07:08:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #15/20
2025-11-01 07:08:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #16/20
2025-11-01 07:08:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #17/20
2025-11-01 07:08:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #18/20
2025-11-01 07:08:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #19/20
2025-11-01 07:08:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #20/20
2025-11-01 07:08:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, requested 20 jobs, got 20, 22.34 s/job
2025-11-01 07:08:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #1/20 start
2025-11-01 07:08:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #2/20 start
2025-11-01 07:08:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #3/20 start
2025-11-01 07:08:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #4/20 start
2025-11-01 07:08:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #5/20 start
2025-11-01 07:08:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #6/20 start
2025-11-01 07:08:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #7/20 start
2025-11-01 07:08:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #8/20 start
2025-11-01 07:08:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #9/20 start
2025-11-01 07:08:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #10/20 start
2025-11-01 07:08:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #11/20 start
2025-11-01 07:08:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #12/20 start
2025-11-01 07:08:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #13/20 start
2025-11-01 07:08:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #14/20 start
2025-11-01 07:08:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #15/20 start
2025-11-01 07:08:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #16/20 start
2025-11-01 07:08:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #17/20 start
2025-11-01 07:08:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #18/20 start
2025-11-01 07:08:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #19/20 start
2025-11-01 07:08:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #20/20 start
2025-11-01 07:08:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, starting new job
2025-11-01 07:08:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, unknown 1 = ∑1/20, started new job
2025-11-01 07:08:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, unknown 1 = ∑1/20, starting new job
2025-11-01 07:08:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, unknown/pending 1/2 = ∑3/20, started new job
2025-11-01 07:08:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, unknown/pending 1/2 = ∑3/20, starting new job
2025-11-01 07:08:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 07:08:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 07:08:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 3/1/3 = ∑7/20, started new job
2025-11-01 07:08:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 7/1 = ∑8/20, started new job
2025-11-01 07:09:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 7/1/1 = ∑9/20, started new job
2025-11-01 07:09:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 9/2 = ∑11/20, started new job
2025-11-01 07:09:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 9/2/2 = ∑13/20, started new job
2025-11-01 07:09:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 9/4/3 = ∑16/20, started new job
2025-11-01 07:09:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 9/7/3 = ∑19/20, started new job
2025-11-01 07:09:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 19/1 = ∑20/20, started new job
2025-11-01 07:09:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 07:09:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 07:09:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 07:23:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, new result: VAL_ACC: 69.860000
2025-11-01 07:23:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 07:23:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 07:24:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, new result: VAL_ACC: 69.400000
2025-11-01 07:24:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 07:24:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 07:24:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, new result: VAL_ACC: 68.800000
2025-11-01 07:24:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 07:24:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 07:25:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, new result: VAL_ACC: 56.830000
2025-11-01 07:25:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 07:25:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 07:25:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 61.010000
2025-11-01 07:25:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 61.220000
2025-11-01 07:26:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, waiting for 16 jobs, finished 2 jobs
2025-11-01 07:26:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 07:26:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, new result: VAL_ACC: 58.350000
2025-11-01 07:26:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, new result: VAL_ACC: 60.650000
2025-11-01 07:26:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, new result: VAL_ACC: 61.720000
2025-11-01 07:26:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, new result: VAL_ACC: 60.980000
2025-11-01 07:27:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 14 jobs, finished 4 jobs
2025-11-01 07:27:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 07:27:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 61.560000
2025-11-01 07:27:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 60.780000
2025-11-01 07:27:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs
2025-11-01 07:27:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 07:28:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, new result: VAL_ACC: 63.890000
2025-11-01 07:28:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-01 07:28:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 07:29:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 7 = ∑7/20, new result: VAL_ACC: 70.340000
2025-11-01 07:29:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-01 07:29:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 07:32:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 6 = ∑6/20, new result: VAL_ACC: 71.020000
2025-11-01 07:32:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-01 07:32:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 07:32:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, new result: VAL_ACC: 70.700000
2025-11-01 07:33:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-01 07:33:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 07:33:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, new result: VAL_ACC: 70.740000
2025-11-01 07:33:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-01 07:33:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 07:33:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, new result: VAL_ACC: 70.700000
2025-11-01 07:33:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, new result: VAL_ACC: 70.940000
2025-11-01 07:34:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 3 jobs, finished 2 jobs
2025-11-01 07:34:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 1 job
2025-11-01 07:34:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, new result: VAL_ACC: 70.900000
2025-11-01 07:34:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, waiting for 1 job, finished 1 job
2025-11-01 07:45:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #1/20
2025-11-01 07:45:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #2/20
2025-11-01 07:45:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #3/20
2025-11-01 07:45:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #4/20
2025-11-01 07:45:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #5/20
2025-11-01 07:45:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #6/20
2025-11-01 07:45:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #7/20
2025-11-01 07:45:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #8/20
2025-11-01 07:45:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #9/20
2025-11-01 07:45:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #10/20
2025-11-01 07:45:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #11/20
2025-11-01 07:45:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #12/20
2025-11-01 07:45:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #13/20
2025-11-01 07:45:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #14/20
2025-11-01 07:45:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #15/20
2025-11-01 07:45:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #16/20
2025-11-01 07:45:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #17/20
2025-11-01 07:45:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #18/20
2025-11-01 07:45:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #19/20
2025-11-01 07:45:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #20/20
2025-11-01 07:45:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, requested 20 jobs, got 20, 31.90 s/job
2025-11-01 07:45:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #1/20 start
2025-11-01 07:45:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #2/20 start
2025-11-01 07:45:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #3/20 start
2025-11-01 07:45:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #4/20 start
2025-11-01 07:45:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #5/20 start
2025-11-01 07:45:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #6/20 start
2025-11-01 07:45:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #7/20 start
2025-11-01 07:45:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #8/20 start
2025-11-01 07:45:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #9/20 start
2025-11-01 07:45:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #10/20 start
2025-11-01 07:45:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #11/20 start
2025-11-01 07:45:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #12/20 start
2025-11-01 07:45:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #13/20 start
2025-11-01 07:45:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #14/20 start
2025-11-01 07:45:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #15/20 start
2025-11-01 07:45:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #16/20 start
2025-11-01 07:45:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #17/20 start
2025-11-01 07:45:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #18/20 start
2025-11-01 07:45:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #19/20 start
2025-11-01 07:46:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #20/20 start
2025-11-01 07:46:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, starting new job
2025-11-01 07:46:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, started new job
2025-11-01 07:46:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, starting new job
2025-11-01 07:46:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 07:46:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 07:46:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 3/1/1 = ∑5/20, started new job
2025-11-01 07:46:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 5/1 = ∑6/20, started new job
2025-11-01 07:46:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 6/3 = ∑9/20, started new job
2025-11-01 07:46:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 6/4 = ∑10/20, started new job
2025-11-01 07:46:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 6/6 = ∑12/20, started new job
2025-11-01 07:46:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 6/6/1 = ∑13/20, started new job
2025-11-01 07:47:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 13/1 = ∑14/20, started new job
2025-11-01 07:47:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 14/1 = ∑15/20, started new job
2025-11-01 07:47:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 14/1/3 = ∑18/20, started new job
2025-11-01 07:47:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 18/2 = ∑20/20, started new job
2025-11-01 07:47:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 18/2 = ∑20/20, waiting for 20 jobs
2025-11-01 07:47:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 08:06:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, new result: VAL_ACC: 69.400000
2025-11-01 08:06:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 08:06:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 08:06:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, new result: VAL_ACC: 69.450000
2025-11-01 08:06:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, new result: VAL_ACC: 69.500000
2025-11-01 08:06:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, new result: VAL_ACC: 69.910000
2025-11-01 08:07:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 19 jobs, finished 3 jobs
2025-11-01 08:07:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 08:07:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 69.510000
2025-11-01 08:07:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 69.670000
2025-11-01 08:07:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 69.830000
2025-11-01 08:07:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 70.010000
2025-11-01 08:07:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 69.820000
2025-11-01 08:07:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 70.060000
2025-11-01 08:09:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 16 jobs, finished 6 jobs
2025-11-01 08:09:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 08:09:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 69.750000
2025-11-01 08:09:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 69.950000
2025-11-01 08:09:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 70.540000
2025-11-01 08:09:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 69.100000
2025-11-01 08:09:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 68.900000
2025-11-01 08:09:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 68.690000
2025-11-01 08:11:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/completed 1/3 = ∑4/20, waiting for 10 jobs, finished 6 jobs
2025-11-01 08:11:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/completed 1/3 = ∑4/20, waiting for 4 jobs
2025-11-01 08:11:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/completed 1/3 = ∑4/20, new result: VAL_ACC: 69.190000
2025-11-01 08:11:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/completed 1/3 = ∑4/20, new result: VAL_ACC: 70.100000
2025-11-01 08:11:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/completed 1/3 = ∑4/20, new result: VAL_ACC: 69.620000
2025-11-01 08:12:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 4 jobs, finished 3 jobs
2025-11-01 08:12:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 1 job
2025-11-01 08:18:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, new result: VAL_ACC: 68.650000
2025-11-01 08:18:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, waiting for 1 job, finished 1 job
2025-11-01 08:29:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #1/20
2025-11-01 08:29:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #2/20
2025-11-01 08:29:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #3/20
2025-11-01 08:29:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #4/20
2025-11-01 08:29:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #5/20
2025-11-01 08:29:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #6/20
2025-11-01 08:29:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #7/20
2025-11-01 08:29:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #8/20
2025-11-01 08:29:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #9/20
2025-11-01 08:29:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #10/20
2025-11-01 08:29:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #11/20
2025-11-01 08:29:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #12/20
2025-11-01 08:29:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #13/20
2025-11-01 08:29:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #14/20
2025-11-01 08:29:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #15/20
2025-11-01 08:29:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #16/20
2025-11-01 08:29:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #17/20
2025-11-01 08:29:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #18/20
2025-11-01 08:29:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #19/20
2025-11-01 08:29:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #20/20
2025-11-01 08:29:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, requested 20 jobs, got 20, 32.84 s/job
2025-11-01 08:29:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #1/20 start
2025-11-01 08:29:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #2/20 start
2025-11-01 08:30:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #3/20 start
2025-11-01 08:30:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #4/20 start
2025-11-01 08:30:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #5/20 start
2025-11-01 08:30:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #6/20 start
2025-11-01 08:30:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #7/20 start
2025-11-01 08:30:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #8/20 start
2025-11-01 08:30:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #9/20 start
2025-11-01 08:30:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #10/20 start
2025-11-01 08:30:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #11/20 start
2025-11-01 08:30:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #12/20 start
2025-11-01 08:30:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #13/20 start
2025-11-01 08:30:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #14/20 start
2025-11-01 08:30:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #15/20 start
2025-11-01 08:30:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #16/20 start
2025-11-01 08:30:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #17/20 start
2025-11-01 08:30:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #18/20 start
2025-11-01 08:30:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #19/20 start
2025-11-01 08:30:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #20/20 start
2025-11-01 08:30:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, starting new job
2025-11-01 08:30:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, started new job
2025-11-01 08:30:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, starting new job
2025-11-01 08:30:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 08:30:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 08:30:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 3/4 = ∑7/20, started new job
2025-11-01 08:30:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 3/6 = ∑9/20, started new job
2025-11-01 08:30:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 3/7 = ∑10/20, started new job
2025-11-01 08:30:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 10/2 = ∑12/20, started new job
2025-11-01 08:30:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 10/3 = ∑13/20, started new job
2025-11-01 08:31:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 13/2 = ∑15/20, started new job
2025-11-01 08:31:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 13/4 = ∑17/20, started new job
2025-11-01 08:31:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 13/5 = ∑18/20, started new job
2025-11-01 08:31:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 18/2 = ∑20/20, started new job
2025-11-01 08:31:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 18/2 = ∑20/20, waiting for 20 jobs
2025-11-01 08:31:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 08:48:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, new result: VAL_ACC: 70.830000
2025-11-01 08:48:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 08:49:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 08:49:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, new result: VAL_ACC: 69.250000
2025-11-01 08:50:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 08:50:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 08:50:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, new result: VAL_ACC: 70.300000
2025-11-01 08:50:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, new result: VAL_ACC: 69.680000
2025-11-01 08:50:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, new result: VAL_ACC: 69.880000
2025-11-01 08:51:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, waiting for 18 jobs, finished 3 jobs
2025-11-01 08:51:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 08:51:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, new result: VAL_ACC: 70.040000
2025-11-01 08:51:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, new result: VAL_ACC: 68.730000
2025-11-01 08:51:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, new result: VAL_ACC: 69.420000
2025-11-01 08:51:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, new result: VAL_ACC: 70.300000
2025-11-01 08:52:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 11 = ∑11/20, waiting for 15 jobs, finished 4 jobs
2025-11-01 08:52:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 08:52:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 11 = ∑11/20, new result: VAL_ACC: 70.500000
2025-11-01 08:52:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 11 = ∑11/20, new result: VAL_ACC: 69.680000
2025-11-01 08:52:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 11 = ∑11/20, new result: VAL_ACC: 68.870000
2025-11-01 08:53:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, waiting for 11 jobs, finished 3 jobs
2025-11-01 08:53:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 08:53:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, new result: VAL_ACC: 70.400000
2025-11-01 08:53:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, new result: VAL_ACC: 61.360000
2025-11-01 08:53:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, new result: VAL_ACC: 71.030000
2025-11-01 08:54:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 8 jobs, finished 3 jobs
2025-11-01 08:54:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 08:54:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, new result: VAL_ACC: 70.240000
2025-11-01 08:54:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-01 08:54:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 09:00:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, new result: VAL_ACC: 69.840000
2025-11-01 09:01:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-01 09:01:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 09:01:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, new result: VAL_ACC: 69.940000
2025-11-01 09:01:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-01 09:01:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 09:01:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, new result: VAL_ACC: 69.050000
2025-11-01 09:02:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 09:02:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 1 job
2025-11-01 09:02:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, new result: VAL_ACC: 70.870000
2025-11-01 09:02:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, waiting for 1 job, finished 1 job
2025-11-01 09:14:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #1/20
2025-11-01 09:14:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #2/20
2025-11-01 09:14:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #3/20
2025-11-01 09:14:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #4/20
2025-11-01 09:14:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #5/20
2025-11-01 09:14:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #6/20
2025-11-01 09:14:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #7/20
2025-11-01 09:14:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #8/20
2025-11-01 09:14:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #9/20
2025-11-01 09:14:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #10/20
2025-11-01 09:14:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #11/20
2025-11-01 09:14:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #12/20
2025-11-01 09:14:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #13/20
2025-11-01 09:14:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #14/20
2025-11-01 09:14:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #15/20
2025-11-01 09:14:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #16/20
2025-11-01 09:14:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #17/20
2025-11-01 09:14:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #18/20
2025-11-01 09:14:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #19/20
2025-11-01 09:14:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #20/20
2025-11-01 09:14:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, requested 20 jobs, got 20, 33.77 s/job
2025-11-01 09:14:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #1/20 start
2025-11-01 09:14:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #2/20 start
2025-11-01 09:14:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #3/20 start
2025-11-01 09:14:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #4/20 start
2025-11-01 09:14:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #5/20 start
2025-11-01 09:14:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #6/20 start
2025-11-01 09:14:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #7/20 start
2025-11-01 09:14:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #8/20 start
2025-11-01 09:14:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #9/20 start
2025-11-01 09:14:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #10/20 start
2025-11-01 09:14:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #11/20 start
2025-11-01 09:14:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #12/20 start
2025-11-01 09:14:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #13/20 start
2025-11-01 09:14:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #14/20 start
2025-11-01 09:14:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #15/20 start
2025-11-01 09:14:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #16/20 start
2025-11-01 09:14:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #17/20 start
2025-11-01 09:14:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #18/20 start
2025-11-01 09:14:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #19/20 start
2025-11-01 09:14:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #20/20 start
2025-11-01 09:14:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, starting new job
2025-11-01 09:14:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, started new job
2025-11-01 09:14:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, starting new job
2025-11-01 09:15:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 2/2 = ∑4/20, started new job
2025-11-01 09:15:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 2/2 = ∑4/20, starting new job
2025-11-01 09:15:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 2/2/1 = ∑5/20, started new job
2025-11-01 09:15:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 5/2 = ∑7/20, started new job
2025-11-01 09:15:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 5/2/2 = ∑9/20, started new job
2025-11-01 09:15:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 5/4/1 = ∑10/20, started new job
2025-11-01 09:15:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 5/4/2 = ∑11/20, started new job
2025-11-01 09:15:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 11/1 = ∑12/20, started new job
2025-11-01 09:15:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 12/1 = ∑13/20, started new job
2025-11-01 09:15:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 13/1 = ∑14/20, started new job
2025-11-01 09:15:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 13/3 = ∑16/20, started new job
2025-11-01 09:15:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 13/4 = ∑17/20, started new job
2025-11-01 09:16:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 13/7 = ∑20/20, started new job
2025-11-01 09:16:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 13/7 = ∑20/20, waiting for 20 jobs
2025-11-01 09:16:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 09:37:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, new result: VAL_ACC: 65.590000
2025-11-01 09:38:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 09:38:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 09:41:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, new result: VAL_ACC: 70.540000
2025-11-01 09:42:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 09:42:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 09:42:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, new result: VAL_ACC: 71.650000
2025-11-01 09:43:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 09:43:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 09:44:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, new result: VAL_ACC: 70.670000
2025-11-01 09:44:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 09:44:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 09:45:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 68.950000
2025-11-01 09:45:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 09:45:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 09:45:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, new result: VAL_ACC: 69.880000
2025-11-01 09:46:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 09:46:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 09:46:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, new result: VAL_ACC: 70.930000
2025-11-01 09:46:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 09:46:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 09:46:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, new result: VAL_ACC: 70.200000
2025-11-01 09:47:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 09:47:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 09:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 12 = ∑12/20, new result: VAL_ACC: 70.670000
2025-11-01 09:47:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 12 = ∑12/20, new result: VAL_ACC: 71.400000
2025-11-01 09:47:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 12 jobs, finished 2 jobs
2025-11-01 09:47:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 09:47:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 70.170000
2025-11-01 09:47:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 71.010000
2025-11-01 09:47:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 69.440000
2025-11-01 09:47:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 69.870000
2025-11-01 09:47:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 70.620000
2025-11-01 09:49:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 10 jobs, finished 5 jobs
2025-11-01 09:49:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 09:49:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, new result: VAL_ACC: 70.690000
2025-11-01 09:49:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, new result: VAL_ACC: 69.580000
2025-11-01 09:50:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-11-01 09:50:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 09:50:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, new result: VAL_ACC: 70.440000
2025-11-01 09:51:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-01 09:51:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 09:51:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, new result: VAL_ACC: 69.760000
2025-11-01 09:52:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 09:52:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 1 job
2025-11-01 09:52:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, new result: VAL_ACC: 70.910000
2025-11-01 09:52:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, waiting for 1 job, finished 1 job
2025-11-01 10:05:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #1/20
2025-11-01 10:05:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #2/20
2025-11-01 10:05:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #3/20
2025-11-01 10:05:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #4/20
2025-11-01 10:05:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #5/20
2025-11-01 10:05:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #6/20
2025-11-01 10:05:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #7/20
2025-11-01 10:05:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #8/20
2025-11-01 10:05:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #9/20
2025-11-01 10:05:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #10/20
2025-11-01 10:05:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #11/20
2025-11-01 10:05:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #12/20
2025-11-01 10:05:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #13/20
2025-11-01 10:05:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #14/20
2025-11-01 10:05:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #15/20
2025-11-01 10:05:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #16/20
2025-11-01 10:05:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #17/20
2025-11-01 10:05:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #18/20
2025-11-01 10:05:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #19/20
2025-11-01 10:05:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #20/20
2025-11-01 10:05:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, requested 20 jobs, got 20, 38.01 s/job
2025-11-01 10:05:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #1/20 start
2025-11-01 10:05:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #2/20 start
2025-11-01 10:05:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #3/20 start
2025-11-01 10:05:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #4/20 start
2025-11-01 10:05:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #5/20 start
2025-11-01 10:05:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #6/20 start
2025-11-01 10:05:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #7/20 start
2025-11-01 10:05:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #8/20 start
2025-11-01 10:05:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #9/20 start
2025-11-01 10:05:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #10/20 start
2025-11-01 10:05:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #11/20 start
2025-11-01 10:05:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #12/20 start
2025-11-01 10:05:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #13/20 start
2025-11-01 10:05:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #14/20 start
2025-11-01 10:05:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #15/20 start
2025-11-01 10:05:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #16/20 start
2025-11-01 10:05:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #17/20 start
2025-11-01 10:05:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #18/20 start
2025-11-01 10:05:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #19/20 start
2025-11-01 10:05:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #20/20 start
2025-11-01 10:06:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, starting new job
2025-11-01 10:06:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, pending 3 = ∑3/20, started new job
2025-11-01 10:06:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, pending 3 = ∑3/20, starting new job
2025-11-01 10:06:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 10:06:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 10:06:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 3/1/1 = ∑5/20, started new job
2025-11-01 10:06:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 3/2/1 = ∑6/20, started new job
2025-11-01 10:06:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 6/3 = ∑9/20, started new job
2025-11-01 10:06:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 9/2 = ∑11/20, started new job
2025-11-01 10:06:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 9/3 = ∑12/20, started new job
2025-11-01 10:06:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 12/3 = ∑15/20, started new job
2025-11-01 10:06:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 15/2 = ∑17/20, started new job
2025-11-01 10:06:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 17/3 = ∑20/20, started new job
2025-11-01 10:06:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-11-01 10:06:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 10:10:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, new result: VAL_ACC: 56.850000
2025-11-01 10:11:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 10:11:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 10:21:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, new result: VAL_ACC: 69.890000
2025-11-01 10:21:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 10:21:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 10:22:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, new result: VAL_ACC: 70.820000
2025-11-01 10:23:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 10:23:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 10:27:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, new result: VAL_ACC: 70.510000
2025-11-01 10:27:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 10:27:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 10:27:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 71.110000
2025-11-01 10:27:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 69.130000
2025-11-01 10:27:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 70.210000
2025-11-01 10:28:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, waiting for 16 jobs, finished 3 jobs
2025-11-01 10:28:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 10:28:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, new result: VAL_ACC: 63.030000
2025-11-01 10:28:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, new result: VAL_ACC: 70.870000
2025-11-01 10:28:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, new result: VAL_ACC: 70.730000
2025-11-01 10:29:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 13 jobs, finished 3 jobs
2025-11-01 10:29:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 10:29:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 70.800000
2025-11-01 10:29:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 62.720000
2025-11-01 10:30:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs
2025-11-01 10:30:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 10:31:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 8 = ∑8/20, new result: VAL_ACC: 70.960000
2025-11-01 10:32:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-01 10:32:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 10:32:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 7 = ∑7/20, new result: VAL_ACC: 70.930000
2025-11-01 10:32:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/completed 5/1 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-01 10:32:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/completed 5/1 = ∑6/20, waiting for 6 jobs
2025-11-01 10:32:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/completed 5/1 = ∑6/20, new result: VAL_ACC: 70.880000
2025-11-01 10:33:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-01 10:33:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 10:38:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, new result: VAL_ACC: 71.310000
2025-11-01 10:38:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-01 10:38:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 10:38:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, new result: VAL_ACC: 70.580000
2025-11-01 10:38:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, new result: VAL_ACC: 71.300000
2025-11-01 10:39:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, waiting for 4 jobs, finished 2 jobs
2025-11-01 10:39:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 10:40:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, new result: VAL_ACC: 68.270000
2025-11-01 10:40:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 10:40:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 1 job
2025-11-01 10:40:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, new result: VAL_ACC: 71.200000
2025-11-01 10:41:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, waiting for 1 job, finished 1 job
2025-11-01 10:54:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #1/20
2025-11-01 10:54:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #2/20
2025-11-01 10:54:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #3/20
2025-11-01 10:54:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #4/20
2025-11-01 10:54:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #5/20
2025-11-01 10:54:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #6/20
2025-11-01 10:54:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #7/20
2025-11-01 10:54:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #8/20
2025-11-01 10:54:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #9/20
2025-11-01 10:54:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #10/20
2025-11-01 10:54:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #11/20
2025-11-01 10:54:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #12/20
2025-11-01 10:54:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #13/20
2025-11-01 10:54:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #14/20
2025-11-01 10:54:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #15/20
2025-11-01 10:54:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #16/20
2025-11-01 10:54:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #17/20
2025-11-01 10:54:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #18/20
2025-11-01 10:54:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #19/20
2025-11-01 10:54:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #20/20
2025-11-01 10:54:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, requested 20 jobs, got 20, 38.23 s/job
2025-11-01 10:54:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #1/20 start
2025-11-01 10:54:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #2/20 start
2025-11-01 10:54:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #3/20 start
2025-11-01 10:54:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #4/20 start
2025-11-01 10:54:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #5/20 start
2025-11-01 10:54:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #6/20 start
2025-11-01 10:54:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #7/20 start
2025-11-01 10:54:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #8/20 start
2025-11-01 10:54:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #9/20 start
2025-11-01 10:54:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #10/20 start
2025-11-01 10:54:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #11/20 start
2025-11-01 10:54:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #12/20 start
2025-11-01 10:54:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #13/20 start
2025-11-01 10:54:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #14/20 start
2025-11-01 10:54:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #15/20 start
2025-11-01 10:54:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #16/20 start
2025-11-01 10:54:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #17/20 start
2025-11-01 10:54:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #18/20 start
2025-11-01 10:54:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #19/20 start
2025-11-01 10:54:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #20/20 start
2025-11-01 10:54:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, starting new job
2025-11-01 10:54:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, started new job
2025-11-01 10:54:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, starting new job
2025-11-01 10:54:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 1/1 = ∑2/20, started new job
2025-11-01 10:54:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 1/1 = ∑2/20, starting new job
2025-11-01 10:54:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 1/4 = ∑5/20, started new job
2025-11-01 10:54:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 1/4 = ∑5/20, starting new job
2025-11-01 10:55:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 1/7 = ∑8/20, started new job
2025-11-01 10:55:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 8/1 = ∑9/20, started new job
2025-11-01 10:55:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 8/1/1 = ∑10/20, started new job
2025-11-01 10:55:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 10/1 = ∑11/20, started new job
2025-11-01 10:55:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 10/4 = ∑14/20, started new job
2025-11-01 10:55:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 14/1 = ∑15/20, started new job
2025-11-01 10:55:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 15/1 = ∑16/20, started new job
2025-11-01 10:55:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 15/1/2 = ∑18/20, started new job
2025-11-01 10:56:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 15/3/2 = ∑20/20, started new job
2025-11-01 10:56:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 15/5 = ∑20/20, waiting for 20 jobs
2025-11-01 10:56:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 11:11:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, new result: VAL_ACC: 61.270000
2025-11-01 11:12:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 11:12:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 11:12:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, new result: VAL_ACC: 62.670000
2025-11-01 11:12:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 11:12:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 11:12:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, new result: VAL_ACC: 71.060000
2025-11-01 11:13:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 11:13:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 11:13:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, new result: VAL_ACC: 70.120000
2025-11-01 11:14:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 11:14:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 11:14:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 70.650000
2025-11-01 11:14:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 11:14:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 11:15:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, new result: VAL_ACC: 70.940000
2025-11-01 11:15:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 11:15:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 11:15:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, new result: VAL_ACC: 70.670000
2025-11-01 11:15:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, new result: VAL_ACC: 70.650000
2025-11-01 11:15:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, new result: VAL_ACC: 70.980000
2025-11-01 11:16:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 11 = ∑11/20, waiting for 14 jobs, finished 3 jobs
2025-11-01 11:16:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 11:18:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 11 = ∑11/20, new result: VAL_ACC: 67.630000
2025-11-01 11:18:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 11 = ∑11/20, new result: VAL_ACC: 67.920000
2025-11-01 11:18:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 9 = ∑9/20, waiting for 11 jobs, finished 2 jobs
2025-11-01 11:18:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 11:19:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 9 = ∑9/20, new result: VAL_ACC: 69.980000
2025-11-01 11:19:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 9 = ∑9/20, new result: VAL_ACC: 68.390000
2025-11-01 11:19:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 9 = ∑9/20, new result: VAL_ACC: 70.820000
2025-11-01 11:20:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 6 = ∑6/20, waiting for 9 jobs, finished 3 jobs
2025-11-01 11:20:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 11:23:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 6 = ∑6/20, new result: VAL_ACC: 70.380000
2025-11-01 11:23:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-01 11:23:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 11:23:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 5 = ∑5/20, new result: VAL_ACC: 70.510000
2025-11-01 11:24:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-01 11:24:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 11:24:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 4 = ∑4/20, new result: VAL_ACC: 71.000000
2025-11-01 11:25:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-01 11:25:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 11:25:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, new result: VAL_ACC: 66.780000
2025-11-01 11:26:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-01 11:26:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 11:26:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 2 = ∑2/20, new result: VAL_ACC: 70.450000
2025-11-01 11:27:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 11:27:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, waiting for 1 job
2025-11-01 11:27:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 1 = ∑1/20, new result: VAL_ACC: 67.910000
2025-11-01 11:28:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, waiting for 1 job, finished 1 job
2025-11-01 11:41:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #1/20
2025-11-01 11:41:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #2/20
2025-11-01 11:41:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #3/20
2025-11-01 11:41:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #4/20
2025-11-01 11:41:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #5/20
2025-11-01 11:41:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #6/20
2025-11-01 11:41:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #7/20
2025-11-01 11:41:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #8/20
2025-11-01 11:41:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #9/20
2025-11-01 11:41:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #10/20
2025-11-01 11:41:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #11/20
2025-11-01 11:41:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #12/20
2025-11-01 11:41:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #13/20
2025-11-01 11:41:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #14/20
2025-11-01 11:41:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #15/20
2025-11-01 11:41:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #16/20
2025-11-01 11:41:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #17/20
2025-11-01 11:41:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #18/20
2025-11-01 11:41:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #19/20
2025-11-01 11:41:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, getting new HP set #20/20
2025-11-01 11:41:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, requested 20 jobs, got 20, 40.87 s/job
2025-11-01 11:41:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #1/20 start
2025-11-01 11:41:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #2/20 start
2025-11-01 11:41:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #3/20 start
2025-11-01 11:41:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #4/20 start
2025-11-01 11:41:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #5/20 start
2025-11-01 11:41:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #6/20 start
2025-11-01 11:41:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #7/20 start
2025-11-01 11:41:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #8/20 start
2025-11-01 11:41:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #9/20 start
2025-11-01 11:41:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #10/20 start
2025-11-01 11:41:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #11/20 start
2025-11-01 11:41:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #12/20 start
2025-11-01 11:41:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #13/20 start
2025-11-01 11:42:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #14/20 start
2025-11-01 11:42:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #15/20 start
2025-11-01 11:42:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #16/20 start
2025-11-01 11:42:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #17/20 start
2025-11-01 11:42:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #18/20 start
2025-11-01 11:42:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #19/20 start
2025-11-01 11:42:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, eval #20/20 start
2025-11-01 11:42:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, starting new job
2025-11-01 11:42:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, pending 3 = ∑3/20, started new job
2025-11-01 11:42:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 3 = ∑3/20, starting new job
2025-11-01 11:42:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 11:42:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 11:42:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 3/1/2 = ∑6/20, started new job
2025-11-01 11:42:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 3/3/3 = ∑9/20, started new job
2025-11-01 11:42:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 9/1 = ∑10/20, started new job
2025-11-01 11:42:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 9/1/1 = ∑11/20, started new job
2025-11-01 11:42:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 11/1 = ∑12/20, started new job
2025-11-01 11:43:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 11/1/3 = ∑15/20, started new job
2025-11-01 11:43:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 15/2 = ∑17/20, started new job
2025-11-01 11:43:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/unknown 17/1 = ∑18/20, started new job
2025-11-01 11:43:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 17/1/1 = ∑19/20, started new job
2025-11-01 11:43:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 17/2/1 = ∑20/20, started new job
2025-11-01 11:43:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending/unknown 17/2/1 = ∑20/20, waiting for 20 jobs
2025-11-01 11:43:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-11-01 11:43:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 11:52:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 20 = ∑20/20, new result: VAL_ACC: 68.830000
2025-11-01 11:52:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 11:52:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 11:59:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 19 = ∑19/20, new result: VAL_ACC: 70.630000
2025-11-01 12:00:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 12:00:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 12:00:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 18 = ∑18/20, new result: VAL_ACC: 70.520000
2025-11-01 12:01:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 12:01:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 12:03:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 17 = ∑17/20, new result: VAL_ACC: 70.260000
2025-11-01 12:04:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 12:04:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 12:08:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 16 = ∑16/20, new result: VAL_ACC: 71.040000
2025-11-01 12:09:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 12:09:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 12:09:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 15 = ∑15/20, new result: VAL_ACC: 70.750000
2025-11-01 12:09:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 12:09:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 12:10:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 14 = ∑14/20, new result: VAL_ACC: 70.900000
2025-11-01 12:11:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 12:11:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 12:11:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, new result: VAL_ACC: 70.770000
2025-11-01 12:11:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, new result: VAL_ACC: 71.330000
2025-11-01 12:11:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 13 = ∑13/20, new result: VAL_ACC: 70.930000
2025-11-01 12:12:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 13 jobs, finished 3 jobs
2025-11-01 12:12:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 12:12:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 71.780000
2025-11-01 12:12:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.67, running 10 = ∑10/20, new result: VAL_ACC: 70.660000
2025-11-01 12:13:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs
2025-11-01 12:13:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 12:13:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 69.160000
2025-11-01 12:13:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 70.320000
2025-11-01 12:14:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, waiting for 8 jobs, finished 2 jobs
2025-11-01 12:14:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 12:15:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, new result: VAL_ACC: 71.030000
2025-11-01 12:15:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, new result: VAL_ACC: 70.530000
2025-11-01 12:15:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, new result: VAL_ACC: 70.850000
2025-11-01 12:15:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, new result: VAL_ACC: 70.390000
2025-11-01 12:17:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 2 = ∑2/20, waiting for 6 jobs, finished 4 jobs
2025-11-01 12:17:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 12:17:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 2 = ∑2/20, new result: VAL_ACC: 70.790000
2025-11-01 12:17:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-01 12:17:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 1 = ∑1/20, waiting for 1 job
2025-11-01 12:17:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 1 = ∑1/20, new result: VAL_ACC: 70.220000
2025-11-01 12:18:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, waiting for 1 job, finished 1 job
2025-11-01 12:33:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #1/20
2025-11-01 12:33:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #2/20
2025-11-01 12:33:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #3/20
2025-11-01 12:33:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #4/20
2025-11-01 12:33:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #5/20
2025-11-01 12:33:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #6/20
2025-11-01 12:33:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #7/20
2025-11-01 12:33:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #8/20
2025-11-01 12:33:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #9/20
2025-11-01 12:33:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #10/20
2025-11-01 12:33:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #11/20
2025-11-01 12:33:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #12/20
2025-11-01 12:33:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #13/20
2025-11-01 12:33:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #14/20
2025-11-01 12:33:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #15/20
2025-11-01 12:33:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #16/20
2025-11-01 12:33:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #17/20
2025-11-01 12:33:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #18/20
2025-11-01 12:33:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #19/20
2025-11-01 12:33:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #20/20
2025-11-01 12:33:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, requested 20 jobs, got 20, 44.56 s/job
2025-11-01 12:33:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #1/20 start
2025-11-01 12:33:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #2/20 start
2025-11-01 12:33:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #3/20 start
2025-11-01 12:33:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #4/20 start
2025-11-01 12:33:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #5/20 start
2025-11-01 12:33:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #6/20 start
2025-11-01 12:33:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #7/20 start
2025-11-01 12:33:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #8/20 start
2025-11-01 12:34:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #9/20 start
2025-11-01 12:34:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #10/20 start
2025-11-01 12:34:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #11/20 start
2025-11-01 12:34:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #12/20 start
2025-11-01 12:34:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #13/20 start
2025-11-01 12:34:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #14/20 start
2025-11-01 12:34:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #15/20 start
2025-11-01 12:34:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #16/20 start
2025-11-01 12:34:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #17/20 start
2025-11-01 12:34:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #18/20 start
2025-11-01 12:34:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #19/20 start
2025-11-01 12:34:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #20/20 start
2025-11-01 12:34:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, starting new job
2025-11-01 12:34:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, pending 1 = ∑1/20, started new job
2025-11-01 12:34:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, pending 1 = ∑1/20, starting new job
2025-11-01 12:34:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 1/3 = ∑4/20, started new job
2025-11-01 12:34:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 1/3 = ∑4/20, starting new job
2025-11-01 12:34:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 4/1 = ∑5/20, started new job
2025-11-01 12:34:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 5/1 = ∑6/20, started new job
2025-11-01 12:34:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 5/1/1 = ∑7/20, started new job
2025-11-01 12:34:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 5/2/1 = ∑8/20, started new job
2025-11-01 12:35:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 5/3/2 = ∑10/20, started new job
2025-11-01 12:35:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 10/1 = ∑11/20, started new job
2025-11-01 12:35:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 10/1/2 = ∑13/20, started new job
2025-11-01 12:35:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 13/1 = ∑14/20, started new job
2025-11-01 12:35:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 13/1/1 = ∑15/20, started new job
2025-11-01 12:35:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 15/1 = ∑16/20, started new job
2025-11-01 12:35:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 16/1 = ∑17/20, started new job
2025-11-01 12:35:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 16/4 = ∑20/20, started new job
2025-11-01 12:35:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 16/4 = ∑20/20, waiting for 20 jobs
2025-11-01 12:36:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 12:52:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, new result: VAL_ACC: 71.210000
2025-11-01 12:52:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 12:52:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 12:52:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, new result: VAL_ACC: 70.910000
2025-11-01 12:53:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 12:53:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 12:54:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, new result: VAL_ACC: 70.730000
2025-11-01 12:55:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, completed/running 1/16 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 12:55:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, completed/running 1/16 = ∑17/20, waiting for 17 jobs
2025-11-01 12:55:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, completed/running 1/16 = ∑17/20, new result: VAL_ACC: 70.990000
2025-11-01 12:55:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 12:55:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 12:55:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, new result: VAL_ACC: 70.780000
2025-11-01 12:56:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 12:56:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 13:00:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 15 = ∑15/20, new result: VAL_ACC: 70.130000
2025-11-01 13:00:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 13:00:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 13:00:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, new result: VAL_ACC: 71.060000
2025-11-01 13:00:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, new result: VAL_ACC: 70.980000
2025-11-01 13:00:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, new result: VAL_ACC: 70.970000
2025-11-01 13:02:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 11 = ∑11/20, waiting for 14 jobs, finished 3 jobs
2025-11-01 13:02:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 13:02:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 11 = ∑11/20, new result: VAL_ACC: 70.990000
2025-11-01 13:02:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 13:02:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 13:02:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 10 = ∑10/20, new result: VAL_ACC: 70.960000
2025-11-01 13:02:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 10 = ∑10/20, new result: VAL_ACC: 71.270000
2025-11-01 13:03:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs
2025-11-01 13:03:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 13:03:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 70.850000
2025-11-01 13:03:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 71.390000
2025-11-01 13:04:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, waiting for 8 jobs, finished 2 jobs
2025-11-01 13:04:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 13:04:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, new result: VAL_ACC: 70.940000
2025-11-01 13:05:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 4/1 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-01 13:05:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 4/1 = ∑5/20, waiting for 5 jobs
2025-11-01 13:05:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 4/1 = ∑5/20, new result: VAL_ACC: 70.950000
2025-11-01 13:05:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-01 13:05:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 4 = ∑4/20, waiting for 4 jobs
2025-11-01 13:05:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 4 = ∑4/20, new result: VAL_ACC: 71.160000
2025-11-01 13:06:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-01 13:06:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 13:06:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, new result: VAL_ACC: 71.300000
2025-11-01 13:06:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, new result: VAL_ACC: 70.770000
2025-11-01 13:07:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 1 = ∑1/20, waiting for 3 jobs, finished 2 jobs
2025-11-01 13:07:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 1 = ∑1/20, waiting for 1 job
2025-11-01 13:08:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 1 = ∑1/20, new result: VAL_ACC: 71.280000
2025-11-01 13:08:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, waiting for 1 job, finished 1 job
2025-11-01 13:24:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #1/20
2025-11-01 13:24:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #2/20
2025-11-01 13:24:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #3/20
2025-11-01 13:24:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #4/20
2025-11-01 13:24:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #5/20
2025-11-01 13:24:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #6/20
2025-11-01 13:24:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #7/20
2025-11-01 13:24:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #8/20
2025-11-01 13:24:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #9/20
2025-11-01 13:24:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #10/20
2025-11-01 13:24:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #11/20
2025-11-01 13:24:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #12/20
2025-11-01 13:24:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #13/20
2025-11-01 13:24:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #14/20
2025-11-01 13:24:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #15/20
2025-11-01 13:24:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #16/20
2025-11-01 13:24:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #17/20
2025-11-01 13:24:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #18/20
2025-11-01 13:24:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #19/20
2025-11-01 13:24:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #20/20
2025-11-01 13:24:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, requested 20 jobs, got 20, 46.37 s/job
2025-11-01 13:24:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #1/20 start
2025-11-01 13:24:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #2/20 start
2025-11-01 13:24:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #3/20 start
2025-11-01 13:24:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #4/20 start
2025-11-01 13:24:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #5/20 start
2025-11-01 13:24:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #6/20 start
2025-11-01 13:24:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #7/20 start
2025-11-01 13:25:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #8/20 start
2025-11-01 13:25:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #9/20 start
2025-11-01 13:25:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #10/20 start
2025-11-01 13:25:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #11/20 start
2025-11-01 13:25:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #12/20 start
2025-11-01 13:25:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #13/20 start
2025-11-01 13:25:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #14/20 start
2025-11-01 13:25:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #15/20 start
2025-11-01 13:25:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #16/20 start
2025-11-01 13:25:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #17/20 start
2025-11-01 13:25:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #18/20 start
2025-11-01 13:25:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #19/20 start
2025-11-01 13:25:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #20/20 start
2025-11-01 13:25:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, starting new job
2025-11-01 13:25:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, pending 3 = ∑3/20, started new job
2025-11-01 13:25:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, starting new job
2025-11-01 13:25:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 13:25:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 13:25:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 3/1/2 = ∑6/20, started new job
2025-11-01 13:25:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 3/3/3 = ∑9/20, started new job
2025-11-01 13:25:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 9/2 = ∑11/20, started new job
2025-11-01 13:26:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 11/3 = ∑14/20, started new job
2025-11-01 13:26:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 11/3/3 = ∑17/20, started new job
2025-11-01 13:26:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 17/1 = ∑18/20, started new job
2025-11-01 13:26:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 18/1 = ∑19/20, started new job
2025-11-01 13:26:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 19/1 = ∑20/20, started new job
2025-11-01 13:26:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 13:26:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 13:26:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 13:39:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, new result: VAL_ACC: 69.980000
2025-11-01 13:40:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 13:40:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 13:40:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, new result: VAL_ACC: 67.470000
2025-11-01 13:41:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 13:41:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 13:41:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, new result: VAL_ACC: 70.280000
2025-11-01 13:41:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, new result: VAL_ACC: 69.330000
2025-11-01 13:42:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 18 jobs, finished 2 jobs
2025-11-01 13:42:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 13:42:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, new result: VAL_ACC: 70.990000
2025-11-01 13:42:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, new result: VAL_ACC: 69.870000
2025-11-01 13:43:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 16 jobs, finished 2 jobs
2025-11-01 13:43:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 13:43:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, new result: VAL_ACC: 70.540000
2025-11-01 13:44:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 13:44:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 13:45:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, new result: VAL_ACC: 70.800000
2025-11-01 13:46:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 13:46:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 13:46:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 70.740000
2025-11-01 13:46:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-01 13:46:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 13:48:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 11 = ∑11/20, new result: VAL_ACC: 71.240000
2025-11-01 13:49:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 13:49:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 10 = ∑10/20, waiting for 10 jobs
2025-11-01 13:53:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 10 = ∑10/20, new result: VAL_ACC: 71.100000
2025-11-01 13:53:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-01 13:53:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 9 = ∑9/20, waiting for 9 jobs
2025-11-01 13:53:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 9 = ∑9/20, new result: VAL_ACC: 71.070000
2025-11-01 13:53:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 9 = ∑9/20, new result: VAL_ACC: 70.830000
2025-11-01 13:55:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 5/2 = ∑7/20, waiting for 9 jobs, finished 2 jobs
2025-11-01 13:55:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 5/2 = ∑7/20, waiting for 7 jobs
2025-11-01 13:55:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 5/2 = ∑7/20, new result: VAL_ACC: 70.890000
2025-11-01 13:55:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 5/2 = ∑7/20, new result: VAL_ACC: 71.310000
2025-11-01 13:55:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, waiting for 7 jobs, finished 2 jobs
2025-11-01 13:55:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 13:55:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, new result: VAL_ACC: 71.480000
2025-11-01 13:55:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, new result: VAL_ACC: 70.060000
2025-11-01 13:55:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, new result: VAL_ACC: 71.280000
2025-11-01 13:55:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, new result: VAL_ACC: 70.890000
2025-11-01 13:58:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 1 = ∑1/20, waiting for 5 jobs, finished 4 jobs
2025-11-01 13:58:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 1 = ∑1/20, waiting for 1 job
2025-11-01 13:58:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 1 = ∑1/20, new result: VAL_ACC: 71.290000
2025-11-01 13:58:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, waiting for 1 job, finished 1 job
2025-11-01 14:16:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #1/20
2025-11-01 14:16:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #2/20
2025-11-01 14:16:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #3/20
2025-11-01 14:16:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #4/20
2025-11-01 14:16:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #5/20
2025-11-01 14:16:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #6/20
2025-11-01 14:16:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #7/20
2025-11-01 14:16:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #8/20
2025-11-01 14:16:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #9/20
2025-11-01 14:16:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #10/20
2025-11-01 14:16:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #11/20
2025-11-01 14:16:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #12/20
2025-11-01 14:16:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #13/20
2025-11-01 14:16:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #14/20
2025-11-01 14:16:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #15/20
2025-11-01 14:16:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #16/20
2025-11-01 14:17:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #17/20
2025-11-01 14:17:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #18/20
2025-11-01 14:17:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #19/20
2025-11-01 14:17:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #20/20
2025-11-01 14:17:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, requested 20 jobs, got 20, 54.24 s/job
2025-11-01 14:17:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #1/20 start
2025-11-01 14:17:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #2/20 start
2025-11-01 14:17:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #3/20 start
2025-11-01 14:17:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #4/20 start
2025-11-01 14:17:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #5/20 start
2025-11-01 14:17:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #6/20 start
2025-11-01 14:17:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #7/20 start
2025-11-01 14:17:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #8/20 start
2025-11-01 14:17:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #9/20 start
2025-11-01 14:17:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #10/20 start
2025-11-01 14:17:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #11/20 start
2025-11-01 14:17:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #12/20 start
2025-11-01 14:17:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #13/20 start
2025-11-01 14:17:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #14/20 start
2025-11-01 14:17:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #15/20 start
2025-11-01 14:17:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #16/20 start
2025-11-01 14:17:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #17/20 start
2025-11-01 14:17:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #18/20 start
2025-11-01 14:17:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #19/20 start
2025-11-01 14:17:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #20/20 start
2025-11-01 14:17:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, starting new job
2025-11-01 14:17:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, pending 2 = ∑2/20, started new job
2025-11-01 14:17:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, pending 2 = ∑2/20, starting new job
2025-11-01 14:17:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 2/1 = ∑3/20, started new job
2025-11-01 14:17:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 2/1 = ∑3/20, starting new job
2025-11-01 14:17:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 2/1/1 = ∑4/20, started new job
2025-11-01 14:18:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 2/1/1 = ∑4/20, starting new job
2025-11-01 14:18:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 4/1 = ∑5/20, started new job
2025-11-01 14:18:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 5/2 = ∑7/20, started new job
2025-11-01 14:18:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 5/2/3 = ∑10/20, started new job
2025-11-01 14:18:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 10/1 = ∑11/20, started new job
2025-11-01 14:18:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 10/1/1 = ∑12/20, started new job
2025-11-01 14:18:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 12/2 = ∑14/20, started new job
2025-11-01 14:18:46 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 14/3 = ∑17/20, started new job
2025-11-01 14:18:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 14/3/3 = ∑20/20, started new job
2025-11-01 14:18:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 14/3/3 = ∑20/20, waiting for 20 jobs
2025-11-01 14:18:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 14/6 = ∑20/20, waiting for 20 jobs
2025-11-01 14:19:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 14:34:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, new result: VAL_ACC: 70.040000
2025-11-01 14:35:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 14:35:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 14:36:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, new result: VAL_ACC: 70.110000
2025-11-01 14:36:42 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 14:36:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 14:37:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, new result: VAL_ACC: 70.520000
2025-11-01 14:38:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 14:38:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 14:38:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 17 = ∑17/20, new result: VAL_ACC: 70.860000
2025-11-01 14:39:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 14:39:38 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 14:39:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, new result: VAL_ACC: 70.190000
2025-11-01 14:40:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 14:40:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 14:40:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 15 = ∑15/20, new result: VAL_ACC: 61.400000
2025-11-01 14:41:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 14:41:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 14:41:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, new result: VAL_ACC: 70.160000
2025-11-01 14:42:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 14:42:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 14:43:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, new result: VAL_ACC: 70.480000
2025-11-01 14:44:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 14:44:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 14:44:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 70.750000
2025-11-01 14:45:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-01 14:45:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 11 = ∑11/20, waiting for 11 jobs
2025-11-01 14:45:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 11 = ∑11/20, new result: VAL_ACC: 71.000000
2025-11-01 14:46:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 8/2 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-01 14:46:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 8/2 = ∑10/20, waiting for 10 jobs
2025-11-01 14:46:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 8/2 = ∑10/20, new result: VAL_ACC: 70.730000
2025-11-01 14:46:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/completed 8/2 = ∑10/20, new result: VAL_ACC: 70.980000
2025-11-01 14:47:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs
2025-11-01 14:47:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 14:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 71.280000
2025-11-01 14:47:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 71.130000
2025-11-01 14:48:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, waiting for 8 jobs, finished 2 jobs
2025-11-01 14:48:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, waiting for 6 jobs
2025-11-01 14:48:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 6 = ∑6/20, new result: VAL_ACC: 70.430000
2025-11-01 14:48:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-01 14:48:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, waiting for 5 jobs
2025-11-01 14:48:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, new result: VAL_ACC: 70.990000
2025-11-01 14:48:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 5 = ∑5/20, new result: VAL_ACC: 70.730000
2025-11-01 14:49:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-11-01 14:49:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, waiting for 3 jobs
2025-11-01 14:49:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, new result: VAL_ACC: 70.800000
2025-11-01 14:50:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-01 14:50:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 2 = ∑2/20, waiting for 2 jobs
2025-11-01 14:50:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 2 = ∑2/20, new result: VAL_ACC: 71.080000
2025-11-01 14:50:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 2 = ∑2/20, new result: VAL_ACC: 70.980000
2025-11-01 14:51:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, waiting for 2 jobs, finished 2 jobs
2025-11-01 15:10:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #1/20
2025-11-01 15:10:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #2/20
2025-11-01 15:10:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #3/20
2025-11-01 15:10:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #4/20
2025-11-01 15:10:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #5/20
2025-11-01 15:10:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #6/20
2025-11-01 15:10:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #7/20
2025-11-01 15:10:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #8/20
2025-11-01 15:10:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #9/20
2025-11-01 15:10:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #10/20
2025-11-01 15:10:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #11/20
2025-11-01 15:10:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #12/20
2025-11-01 15:10:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #13/20
2025-11-01 15:10:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #14/20
2025-11-01 15:10:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #15/20
2025-11-01 15:10:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #16/20
2025-11-01 15:10:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #17/20
2025-11-01 15:10:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #18/20
2025-11-01 15:10:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #19/20
2025-11-01 15:10:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #20/20
2025-11-01 15:10:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, requested 20 jobs, got 20, 56.70 s/job
2025-11-01 15:10:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #1/20 start
2025-11-01 15:10:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #2/20 start
2025-11-01 15:10:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #3/20 start
2025-11-01 15:10:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #4/20 start
2025-11-01 15:10:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #5/20 start
2025-11-01 15:10:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #6/20 start
2025-11-01 15:10:43 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #7/20 start
2025-11-01 15:10:44 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #8/20 start
2025-11-01 15:10:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #9/20 start
2025-11-01 15:10:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #10/20 start
2025-11-01 15:10:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #11/20 start
2025-11-01 15:10:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #12/20 start
2025-11-01 15:10:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #13/20 start
2025-11-01 15:10:52 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #14/20 start
2025-11-01 15:10:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #15/20 start
2025-11-01 15:10:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #16/20 start
2025-11-01 15:10:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #17/20 start
2025-11-01 15:10:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #18/20 start
2025-11-01 15:10:58 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #19/20 start
2025-11-01 15:10:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #20/20 start
2025-11-01 15:11:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, starting new job
2025-11-01 15:11:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, unknown 3 = ∑3/20, started new job
2025-11-01 15:11:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, starting new job
2025-11-01 15:11:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 15:11:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 15:11:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 3/1/1 = ∑5/20, started new job
2025-11-01 15:11:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 3/2/2 = ∑7/20, started new job
2025-11-01 15:11:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 3/4/2 = ∑9/20, started new job
2025-11-01 15:11:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 9/1 = ∑10/20, started new job
2025-11-01 15:11:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 9/2 = ∑11/20, started new job
2025-11-01 15:11:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 9/2/2 = ∑13/20, started new job
2025-11-01 15:11:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 9/4/2 = ∑15/20, started new job
2025-11-01 15:11:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 9/6/2 = ∑17/20, started new job
2025-11-01 15:12:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 17/1 = ∑18/20, started new job
2025-11-01 15:12:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 18/1 = ∑19/20, started new job
2025-11-01 15:12:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 19/1 = ∑20/20, started new job
2025-11-01 15:12:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 15:12:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-11-01 15:12:41 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 15:18:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, new result: VAL_ACC: 60.630000
2025-11-01 15:19:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 15:19:08 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 15:34:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, new result: VAL_ACC: 70.220000
2025-11-01 15:34:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 15:34:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 15:36:39 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, new result: VAL_ACC: 70.890000
2025-11-01 15:37:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 15:37:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 15:37:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 17 = ∑17/20, new result: VAL_ACC: 70.570000
2025-11-01 15:38:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 15:38:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 15:38:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, new result: VAL_ACC: 70.690000
2025-11-01 15:38:18 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, new result: VAL_ACC: 70.730000
2025-11-01 15:39:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 16 jobs, finished 2 jobs
2025-11-01 15:39:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 15:39:40 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, new result: VAL_ACC: 70.870000
2025-11-01 15:40:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 15:40:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 15:40:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, new result: VAL_ACC: 71.260000
2025-11-01 15:41:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 15:41:09 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 15:41:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 70.340000
2025-11-01 15:41:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 70.560000
2025-11-01 15:41:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 70.580000
2025-11-01 15:41:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 71.410000
2025-11-01 15:43:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, waiting for 12 jobs, finished 4 jobs
2025-11-01 15:43:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, waiting for 8 jobs
2025-11-01 15:43:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 71.330000
2025-11-01 15:43:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 71.130000
2025-11-01 15:43:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 70.810000
2025-11-01 15:43:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 71.220000
2025-11-01 15:43:24 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 8 = ∑8/20, new result: VAL_ACC: 70.890000
2025-11-01 15:46:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, completed 2 = ∑2/20, waiting for 8 jobs, finished 6 jobs
2025-11-01 15:46:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, completed 2 = ∑2/20, waiting for 2 jobs
2025-11-01 15:46:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, completed 2 = ∑2/20, new result: VAL_ACC: 69.070000
2025-11-01 15:46:35 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, completed 2 = ∑2/20, new result: VAL_ACC: 71.130000
2025-11-01 15:47:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, waiting for 2 jobs, finished 2 jobs
2025-11-01 16:08:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #1/20
2025-11-01 16:08:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #2/20
2025-11-01 16:08:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #3/20
2025-11-01 16:08:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #4/20
2025-11-01 16:08:59 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #5/20
2025-11-01 16:09:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #6/20
2025-11-01 16:09:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #7/20
2025-11-01 16:09:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #8/20
2025-11-01 16:09:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #9/20
2025-11-01 16:09:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #10/20
2025-11-01 16:09:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #11/20
2025-11-01 16:09:03 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #12/20
2025-11-01 16:09:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #13/20
2025-11-01 16:09:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #14/20
2025-11-01 16:09:05 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #15/20
2025-11-01 16:09:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #16/20
2025-11-01 16:09:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #17/20
2025-11-01 16:09:06 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #18/20
2025-11-01 16:09:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #19/20
2025-11-01 16:09:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, getting new HP set #20/20
2025-11-01 16:09:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, requested 20 jobs, got 20, 64.92 s/job
2025-11-01 16:09:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #1/20 start
2025-11-01 16:09:11 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #2/20 start
2025-11-01 16:09:12 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #3/20 start
2025-11-01 16:09:13 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #4/20 start
2025-11-01 16:09:14 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #5/20 start
2025-11-01 16:09:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #6/20 start
2025-11-01 16:09:19 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #7/20 start
2025-11-01 16:09:21 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #8/20 start
2025-11-01 16:09:22 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #9/20 start
2025-11-01 16:09:23 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #10/20 start
2025-11-01 16:09:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #11/20 start
2025-11-01 16:09:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #12/20 start
2025-11-01 16:09:28 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #13/20 start
2025-11-01 16:09:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #14/20 start
2025-11-01 16:09:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #15/20 start
2025-11-01 16:09:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #16/20 start
2025-11-01 16:09:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #17/20 start
2025-11-01 16:09:33 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #18/20 start
2025-11-01 16:09:36 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #19/20 start
2025-11-01 16:09:37 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, eval #20/20 start
2025-11-01 16:09:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, starting new job
2025-11-01 16:09:51 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, started new job
2025-11-01 16:09:53 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 3 = ∑3/20, starting new job
2025-11-01 16:09:54 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 3/1 = ∑4/20, started new job
2025-11-01 16:09:55 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 3/1 = ∑4/20, starting new job
2025-11-01 16:10:00 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 3/1/3 = ∑7/20, started new job
2025-11-01 16:10:04 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 3/4/1 = ∑8/20, started new job
2025-11-01 16:10:10 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 8/3 = ∑11/20, started new job
2025-11-01 16:10:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/unknown 11/3 = ∑14/20, started new job
2025-11-01 16:10:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 11/3/3 = ∑17/20, started new job
2025-11-01 16:10:25 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending/unknown 11/6/3 = ∑20/20, started new job
2025-11-01 16:10:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running/pending 11/9 = ∑20/20, waiting for 20 jobs
2025-11-01 16:10:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, waiting for 20 jobs
2025-11-01 16:28:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 20 = ∑20/20, new result: VAL_ACC: 63.040000
2025-11-01 16:29:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-01 16:29:20 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, waiting for 19 jobs
2025-11-01 16:30:07 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 19 = ∑19/20, new result: VAL_ACC: 70.540000
2025-11-01 16:30:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-01 16:30:47 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, waiting for 18 jobs
2025-11-01 16:30:48 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 18 = ∑18/20, new result: VAL_ACC: 70.660000
2025-11-01 16:31:29 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-01 16:31:30 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 17 = ∑17/20, waiting for 17 jobs
2025-11-01 16:32:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 17 = ∑17/20, new result: VAL_ACC: 70.710000
2025-11-01 16:33:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-01 16:33:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, waiting for 16 jobs
2025-11-01 16:36:27 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 16 = ∑16/20, new result: VAL_ACC: 70.660000
2025-11-01 16:37:15 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-01 16:37:16 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 15 = ∑15/20, waiting for 15 jobs
2025-11-01 16:37:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 15 = ∑15/20, new result: VAL_ACC: 70.350000
2025-11-01 16:38:01 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-01 16:38:02 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, waiting for 14 jobs
2025-11-01 16:39:17 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 14 = ∑14/20, new result: VAL_ACC: 70.740000
2025-11-01 16:39:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-01 16:39:56 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, waiting for 13 jobs
2025-11-01 16:39:57 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 13 = ∑13/20, new result: VAL_ACC: 70.820000
2025-11-01 16:40:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-01 16:40:45 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, waiting for 12 jobs
2025-11-01 16:40:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 70.880000
2025-11-01 16:40:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 70.410000
2025-11-01 16:40:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 71.250000
2025-11-01 16:40:49 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 71.160000
2025-11-01 16:40:50 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 12 = ∑12/20, new result: VAL_ACC: 70.530000
2025-11-01 16:43:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, waiting for 12 jobs, finished 5 jobs
2025-11-01 16:43:26 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, waiting for 7 jobs
2025-11-01 16:43:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, new result: VAL_ACC: 70.200000
2025-11-01 16:43:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, new result: VAL_ACC: 71.070000
2025-11-01 16:43:31 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, new result: VAL_ACC: 70.660000
2025-11-01 16:43:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, new result: VAL_ACC: 70.950000
2025-11-01 16:43:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, new result: VAL_ACC: 69.610000
2025-11-01 16:43:32 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, new result: VAL_ACC: 70.920000
2025-11-01 16:43:34 (0b4e9b61-8634-4ac4-bfc9-ceb4dc7cc0bb): SOBOL, best VAL_ACC: 71.78, running 7 = ∑7/20, new result: VAL_ACC: 71.070000
Arguments Overview
| Key | Value |
|---|
| config_yaml | None |
| config_toml | None |
| config_json | None |
| num_random_steps | 20 |
| max_eval | 1000 |
| run_program | [['cHl0aG9uMyAvZGF0YS9ob3JzZS93cy9zMzgxMTE0MS1vbW5pb3B0X21uaXN0X3Rlc3RfY2FsbC9vbW5pb3B0Ly50ZXN0cy9tbmlzdC90cmFpbiAtLWVwb2NocyAlZXBvY2hzIC0tbGVhcm5pbmdf… |
| experiment_name | mnist_mono |
| mem_gb | 40 |
| parameter | [['epochs', 'range', '20', '120', 'int', 'false'], ['lr', 'range', '0.0001', '0.001', 'float', 'false'], ['batch_size', 'range', '64', '1024', 'int', |
| 'false'], ['hidden_size', 'range', '512', '4096', 'int', 'false'], ['dropout', 'range', '0', '0.5', 'float', 'false'], ['num_dense_layers', 'range', |
| '1', '2', 'int', 'false'], ['filter', 'range', '16', '128', 'int', 'false'], ['num_conv_layers', 'range', '5', '7', 'int', 'false']] |
| continue_previous_job | None |
| experiment_constraints | None |
| run_dir | runs |
| seed | None |
| verbose_tqdm | False |
| model | BOTORCH_MODULAR |
| gridsearch | False |
| occ | False |
| show_sixel_scatter | False |
| show_sixel_general | False |
| show_sixel_trial_index_result | False |
| follow | True |
| send_anonymized_usage_stats | True |
| ui_url | None |
| root_venv_dir | /home/s3811141 |
| exclude | None |
| main_process_gb | 20 |
| max_nr_of_zero_results | 50 |
| abbreviate_job_names | False |
| orchestrator_file | None |
| checkout_to_latest_tested_version | False |
| live_share | True |
| disable_tqdm | False |
| disable_previous_job_constraint | False |
| workdir | |
| occ_type | euclid |
| result_names | ['VAL_ACC=max'] |
| minkowski_p | 2 |
| signed_weighted_euclidean_weights | |
| generation_strategy | None |
| generate_all_jobs_at_once | True |
| revert_to_random_when_seemingly_exhausted | True |
| load_data_from_existing_jobs | [] |
| n_estimators_randomforest | 100 |
| max_attempts_for_generation | 20 |
| external_generator | None |
| username | None |
| max_failed_jobs | 0 |
| num_cpus_main_job | None |
| calculate_pareto_front_of_job | [] |
| show_generate_time_table | False |
| force_choice_for_ranges | False |
| max_abandoned_retrial | 20 |
| share_password | None |
| dryrun | False |
| db_url | None |
| run_program_once | cHl0aG9uMyAvZGF0YS9ob3JzZS93cy9zMzgxMTE0MS1vbW5pb3B0X21uaXN0X3Rlc3RfY2FsbC9vbW5pb3B0Ly50ZXN0cy9tbmlzdC90cmFpbiAtLWluc3RhbGw= |
| worker_generator_path | None |
| save_to_database | False |
| range_max_difference | 1000000 |
| skip_search | False |
| dont_warm_start_refitting | False |
| refit_on_cv | False |
| fit_out_of_design | False |
| fit_abandoned | False |
| dont_jit_compile | False |
| num_restarts | 20 |
| raw_samples | 1024 |
| max_num_of_parallel_sruns | 16 |
| no_transform_inputs | False |
| no_normalize_y | False |
| transforms | [] |
| number_of_generators | 1 |
| num_parallel_jobs | 20 |
| worker_timeout | 120 |
| slurm_use_srun | False |
| time | 1440 |
| partition | alpha |
| reservation | None |
| force_local_execution | False |
| slurm_signal_delay_s | 0 |
| nodes_per_job | 1 |
| cpus_per_task | 1 |
| account | None |
| gpus | 1 |
| dependency | None |
| run_mode | local |
| verbose | False |
| verbose_break_run_search_table | False |
| debug | False |
| flame_graph | False |
| memray | False |
| no_sleep | False |
| tests | False |
| show_worker_percentage_table_at_end | False |
| auto_exclude_defective_hosts | False |
| run_tests_that_fail_on_taurus | False |
| raise_in_eval | False |
| show_ram_every_n_seconds | 0 |
| show_generation_and_submission_sixel | False |
| just_return_defaults | False |
| prettyprint | False |
| runtime_debug | False |
| debug_stack_regex | |
| debug_stack_trace_regex | None |
| show_func_name | False |
| beartype | False |
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1761990883.9656,20,0,0
1761990886.0458,20,1,5
1761990887.4583,20,1,5
1761990891.1146,20,2,10
1761990892.0236,20,2,10
1761990896.1187,20,5,25
1761990898.3449,20,5,25
1761990901.1244,20,8,40
1761990901.9952,20,8,40
1761990911.1355,20,9,45
1761990911.4767,20,9,45
1761990921.136,20,10,50
1761990921.4888,20,10,50
1761990931.1514,20,11,55
1761990931.4954,20,11,55
1761990936.1591,20,14,70
1761990937.1182,20,14,70
1761990941.1576,20,15,75
1761990941.4956,20,15,75
1761990951.1706,20,16,80
1761990951.5095,20,16,80
1761990956.174,20,18,90
1761990956.8373,20,18,90
1761990961.1798,20,20,100
1761991895.3571,20,20,100
1761991929.1379,20,18,90
1761991978.0941,20,18,90
1761992009.1077,20,17,85
1761992036.7389,20,17,85
1761992062.5344,20,15,75
1761992112.7714,20,15,75
1761992139.3249,20,11,55
1761992290.1808,20,11,55
1761992292.4414,20,9,45
1761992292.9853,20,9,45
1761992336.0972,20,6,30
1761992588.9866,20,6,30
1761992618.1994,20,5,25
1761992641.0284,20,5,25
1761992670.6957,20,4,20
1761992695.7618,20,4,20
1761992727.2937,20,3,15
1761992739.3114,20,3,15
1761992770.3419,20,2,10
1761992814.858,20,2,10
1761992846.9249,20,0,0
1761993735.0537,20,0,0
1761993736.6868,20,1,5
1761993736.7008,20,1,5
1761993737.1294,20,2,10
1761993740.2793,20,2,10
1761993742.017,20,3,15
1761993742.9512,20,3,15
1761993747.0383,20,6,30
1761993747.707,20,6,30
1761993752.0551,20,9,45
1761993752.9773,20,9,45
1761993762.0527,20,10,50
1761993762.3936,20,10,50
1761993772.0634,20,11,55
1761993772.4054,20,11,55
1761993777.0658,20,12,60
1761993777.4101,20,12,60
1761993787.0864,20,15,75
1761993788.0079,20,15,75
1761993792.1041,20,17,85
1761993792.7616,20,17,85
1761993797.1008,20,18,90
1761993797.4503,20,18,90
1761993807.1223,20,19,95
1761993807.4819,20,19,95
1761993812.1175,20,20,100
1761994336.5023,20,20,100
1761994368.6821,20,19,95
1761994800.4638,20,19,95
1761994835.0626,20,18,90
1761994839.8297,20,18,90
1761994871.3956,20,17,85
1761995025.6088,20,17,85
1761995058.8916,20,16,80
1761995305.7605,20,16,80
1761995341.1708,20,15,75
1761995345.9601,20,15,75
1761995379.0263,20,14,70
1761995441.877,20,14,70
1761995474.5094,20,10,50
1761995483.8542,20,10,50
1761995484.1379,20,9,45
1761995566.3603,20,8,40
1761995574.4426,20,8,40
1761995635.0839,20,6,30
1761995639.0953,20,6,30
1761995641.468,20,5,25
1761995643.0006,20,5,25
1761995696.114,20,2,10
1761995708.901,20,2,10
1761995821.7335,20,1,5
1761995826.5675,20,1,5
1761995861.8755,20,0,0
1761996862.7368,20,0,0
1761996865.0627,20,1,5
1761996866.7538,20,1,5
1761996875.1316,20,4,20
1761996877.8262,20,4,20
1761996880.1283,20,5,25
1761996880.4823,20,5,25
1761996885.1346,20,6,30
1761996885.4896,20,6,30
1761996891.2045,20,7,35
1761996891.5562,20,7,35
1761996895.1596,20,8,40
1761996895.5084,20,8,40
1761996900.1512,20,10,50
1761996900.7924,20,10,50
1761996910.1561,20,11,55
1761996910.5046,20,11,55
1761996920.1719,20,13,65
1761996920.8595,20,13,65
1761996925.1725,20,14,70
1761996925.5285,20,14,70
1761996935.1852,20,15,75
1761996935.5539,20,15,75
1761996940.1885,20,16,80
1761996940.5374,20,16,80
1761996951.2372,20,17,85
1761996951.5961,20,17,85
1761996955.2144,20,20,100
1761997927.644,20,20,100
1761997959.826,20,18,90
1761998068.762,20,18,90
1761998098.4934,20,16,80
1761998108.4857,20,16,80
1761998138.2292,20,15,75
1761998404.5235,20,15,75
1761998439.0587,20,12,60
1761998443.9981,20,12,60
1761998444.0734,20,11,55
1761998448.8155,20,11,55
1761998521.1976,20,10,50
1761998526.119,20,10,50
1761998560.087,20,9,45
1761998564.4667,20,9,45
1761998565.8536,20,8,40
1761998568.3465,20,8,40
1761998615.3022,20,6,30
1761998622.6927,20,6,30
1761998673.4653,20,5,25
1761998678.4338,20,5,25
1761998712.8986,20,4,20
1761998717.9262,20,4,20
1761998753.0236,20,3,15
1761998757.959,20,3,15
1761998794.4261,20,1,5
1761998892.9638,20,1,5
1761998894.3267,20,0,0
1761999932.2296,20,0,0
1761999935.4398,20,1,5
1761999938.7843,20,1,5
1761999940.7701,20,3,15
1761999941.752,20,3,15
1761999945.7988,20,6,30
1761999946.4924,20,6,30
1761999950.8105,20,9,45
1761999951.8905,20,9,45
1761999955.8388,20,11,55
1761999957.2955,20,11,55
1761999960.8222,20,14,70
1761999961.7928,20,14,70
1761999965.8618,20,17,85
1761999966.8047,20,17,85
1761999970.8285,20,18,90
1761999971.1924,20,18,90
1761999975.8576,20,19,95
1761999976.2177,20,19,95
1761999980.8384,20,20,100
1762000791.41,20,20,100
1762000827.5002,20,19,95
1762000860.3465,20,19,95
1762000894.8167,20,16,80
1762000902.4174,20,16,80
1762000951.0428,20,15,75
1762000955.5348,20,15,75
1762000957.9298,20,14,70
1762000958.7047,20,14,70
1762001012.007,20,13,65
1762001126.722,20,13,65
1762001128.0706,20,12,60
1762001171.5869,20,12,60
1762001207.077,20,11,55
1762001330.6904,20,11,55
1762001365.9328,20,10,50
1762001598.0699,20,10,50
1762001632.249,20,7,35
1762001639.8016,20,7,35
1762001700.3575,20,5,25
1762001708.2333,20,5,25
1762001754.4982,20,1,5
1762001767.3874,20,1,5
1762001894.3643,20,0,0
1762003062.3355,20,0,0
1762003063.8657,20,1,5
1762003067.0044,20,1,5
1762003075.3349,20,3,15
1762003076.3334,20,3,15
1762003079.2708,20,4,20
1762003080.271,20,4,20
1762003084.2941,20,5,25
1762003084.6551,20,5,25
1762003094.287,20,7,35
1762003094.9894,20,7,35
1762003099.3006,20,10,50
1762003100.2808,20,10,50
1762003104.3007,20,11,55
1762003104.6821,20,11,55
1762003114.304,20,12,60
1762003114.6713,20,12,60
1762003119.3115,20,14,70
1762003120.0105,20,14,70
1762003124.3189,20,17,85
1762003125.2854,20,17,85
1762003129.3276,20,20,100
1762004071.8413,20,20,100
1762004073.2263,20,19,95
1762004166.0146,20,19,95
1762004201.1181,20,18,90
1762004254.8685,20,18,90
1762004287.9365,20,17,85
1762004339.9299,20,17,85
1762004375.9021,20,15,75
1762004381.0253,20,15,75
1762004418.1453,20,14,70
1762004518.3751,20,14,70
1762004519.7775,20,13,65
1762004615.3521,20,13,65
1762004649.9101,20,12,60
1762004690.6994,20,12,60
1762004727.5956,20,10,50
1762004732.7489,20,10,50
1762004766.7844,20,8,40
1762004774.5804,20,8,40
1762004828.9698,20,6,30
1762004836.8188,20,6,30
1762004887.9982,20,5,25
1762004893.1626,20,5,25
1762004929.1901,20,3,15
1762004936.9197,20,3,15
1762004990.3639,20,2,10
1762004995.5771,20,2,10
1762005032.2321,20,0,0
1762006267.3746,20,0,0
1762006274.952,20,3,15
1762006277.8557,20,3,15
1762006279.5549,20,4,20
1762006280.5776,20,4,20
1762006284.5359,20,5,25
1762006284.908,20,5,25
1762006289.5417,20,7,35
1762006290.2616,20,7,35
1762006294.5463,20,9,45
1762006295.2561,20,9,45
1762006299.5606,20,11,55
1762006300.9289,20,11,55
1762006304.5595,20,13,65
1762006305.2773,20,13,65
1762006309.6288,20,15,75
1762006310.3417,20,15,75
1762006314.575,20,17,85
1762006315.2751,20,17,85
1762006324.5915,20,18,90
1762006324.9626,20,18,90
1762006334.6255,20,19,95
1762006334.9938,20,19,95
1762006339.6047,20,20,100
1762006707.5743,20,20,100
1762006746.2982,20,19,95
1762007660.4966,20,19,95
1762007695.5797,20,18,90
1762007801.5859,20,18,90
1762007839.8024,20,17,85
1762007858.9162,20,17,85
1762007859.2452,20,16,80
1762007895.1435,20,15,75
1762007899.5795,20,15,75
1762007902.3603,20,14,70
1762007982.6285,20,14,70
1762008025.1624,20,12,60
1762008030.4425,20,12,60
1762008067.3818,20,8,40
1762008074.6719,20,8,40
1762008079.0366,20,7,35
1762008081.3386,20,7,35
1762008197.1759,20,2,10
1762008216.8834,20,2,10
1762008384.6184,20,0,0
1762009786.3271,20,0,0
1762009788.2803,20,2,10
1762009792.3851,20,2,10
1762009793.6807,20,3,15
1762009794.7394,20,3,15
1762009798.7119,20,7,35
1762009799.7264,20,7,35
1762009803.7081,20,8,40
1762009804.0837,20,8,40
1762009808.7197,20,11,55
1762009809.7509,20,11,55
1762009813.7229,20,14,70
1762009814.7187,20,14,70
1762009818.7289,20,17,85
1762009819.7535,20,17,85
1762009823.7333,20,20,100
1762010916.5186,20,20,100
1762010958.3679,20,19,95
1762011009.6318,20,19,95
1762011045.5268,20,17,85
1762011140.095,20,17,85
1762011179.4992,20,16,80
1762011388.8656,20,16,80
1762011389.2184,20,15,75
1762011433.9812,20,14,70
1762011558.1087,20,14,70
1762011559.5951,20,13,65
1762011559.9208,20,13,65
1762011594.4556,20,12,60
1762011599.8452,20,12,60
1762011643.3799,20,8,40
1762011647.6867,20,8,40
1762011648.1498,20,7,35
1762011657.4984,20,7,35
1762011658.2551,20,6,30
1762011660.45,20,6,30
1762011799.4759,20,0,0
1762011829.0203,20,0,0
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1761928251,808.84375,19.7
1761928311,832.81640625,19.5
1761928371,851.82421875,19.4
1761928431,851.859375,18.3
1761928491,851.91796875,18.2
1761928551,859.25390625,19.2
1761928611,859.24609375,18.2
1761928671,859.2734375,18.2
1761928731,859.26171875,18
1761928791,859.265625,18.2
1761928851,861.48828125,19.8
1761928911,861.453125,19.3
1761928971,861.46484375,17.9
1761929031,861.52734375,18.3
1761929091,861.54296875,18.5
1761929151,861.546875,17.8
1761929211,861.5390625,17.9
1761929271,861.51171875,18.8
1761929331,861.6875,19
1761929391,861.6640625,17.5
1761929451,861.69140625,18.4
1761929511,861.796875,18
1761929571,861.8203125,18.5
1761929632,861.8203125,18.7
1761929692,861.875,18
1761929752,861.859375,18
1761929812,861.98828125,18.3
1761929872,861.98828125,18.9
1761929932,862.1640625,18.7
1761929992,862.1640625,16.4
1761930052,862.1640625,19
1761930112,862.1640625,17.7
1761930172,862.1640625,16.6
1761930232,862.1640625,18.3
1761930294,862.1640625,19.2
1761930354,862.1640625,17.2
1761930414,862.6640625,23.7
1761930474,862.6640625,19.1
1761930534,862.6640625,23.3
1761930594,862.6640625,19.4
1761930654,862.6640625,16
1761930714,881.05859375,20
1761930774,896.4453125,19
1761930834,890.609375,19.3
1761930894,890.60546875,17.6
1761930954,890.609375,15.8
1761931014,890.62109375,18.6
1761931074,889.1640625,21.6
1761931134,889.23046875,19.4
1761931194,889.234375,20.7
1761931254,889.265625,23.6
1761931314,889.30859375,22
1761931374,889.34375,20.8
1761931434,889.3828125,21.1
1761931494,889.41796875,20.8
1761931554,889.45703125,18.2
1761931614,889.49609375,19.2
1761931674,890.109375,22.1
1761931734,890.14453125,21
1761931794,890.10546875,23
1761931854,890.13671875,25.6
1761931914,890.39453125,22.2
1761931974,890.5546875,23.9
1761932034,890.51953125,23.7
1761932094,890.6640625,20.8
1761932154,890.73046875,20.2
1761932214,890.98046875,19.1
1761932274,891.0546875,20.1
1761932334,891.05078125,26
1761932394,891.93359375,22.1
1761932454,891.93359375,20.1
1761932514,891.9375,21.3
1761932574,891.0234375,21
1761932634,891.5234375,18.3
1761932694,891.5234375,19.2
1761932754,891.5234375,21.5
1761932814,893.53125,20.3
1761932874,893.53125,18.9
1761932934,893.53125,22.1
1761932994,893.53125,20.4
1761933054,893.53125,18.7
1761933114,894.03125,20.1
1761933174,900.03125,21
1761933234,905.4765625,17.1
1761933294,905.4765625,18.1
1761933355,905.484375,18.6
1761933415,905.53515625,17.3
1761933475,905.5234375,22.1
1761933535,905.6015625,18.3
1761933595,905.6015625,19.6
1761933655,905.640625,20.4
1761933715,905.671875,21.3
1761933775,905.71484375,17.3
1761933835,905.73828125,20
1761933895,907.02734375,19
1761933955,907.02734375,18.7
1761934015,907.02734375,22.5
1761934075,907.02734375,20
1761934135,907.4296875,17.8
1761934195,909.57421875,20.7
1761934255,911.703125,17.4
1761934315,911.69921875,20.1
1761934375,911.71875,18.4
1761934435,911.71875,17.3
1761934495,913.921875,18.5
1761934555,913.99609375,21.3
1761934615,914.0234375,19.4
1761934675,916.11328125,18.6
1761934735,918.171875,19
1761934795,920.26171875,17.8
1761934855,920.26171875,22.5
1761934915,922.37109375,18.6
1761934978,922.37109375,19.6
1761935038,922.37109375,19
1761935098,922.37109375,18.1
1761935158,922.37109375,19.6
1761935256,925.37109375,21.3
1761935319,944.63671875,19.7
1761935379,940.671875,20.5
1761935439,940.65625,21.1
1761935499,940.66015625,18.2
1761935559,940.65625,20.3
1761935619,940.6640625,20.3
1761935679,940.66015625,20.5
1761935739,940.66015625,20.6
1761935799,940.65625,20.9
1761935859,940.66015625,18.7
1761935919,940.66015625,21.2
1761935979,942.76953125,21.7
1761936039,942.921875,19.8
1761936099,942.921875,19.4
1761936159,942.921875,18.5
1761936219,945.28515625,21.5
1761936279,945.28125,19.4
1761936339,945.37109375,19.7
1761936399,945.37109375,20.6
1761936459,945.37109375,22.3
1761936519,945.37109375,18.3
1761936579,947.93359375,18.9
1761936639,948.1640625,22.7
1761936699,948.1640625,17.1
1761936759,948.1640625,19.9
1761936819,948.1640625,26.3
1761936879,948.61328125,20.1
1761936939,948.73046875,23.4
1761936999,948.73046875,16.8
1761937059,948.73046875,19.9
1761937119,948.73046875,18.8
1761937179,951.0078125,17.7
1761937239,947.0546875,18.7
1761937299,947.0546875,17.4
1761937359,947.0546875,16.5
1761937419,947.0546875,17.3
1761937479,947.5546875,17.5
1761937539,953.5546875,20.5
1761937599,966.5546875,18.1
1761937659,984.0546875,16.7
1761937719,986.0546875,17.9
1761937783,990.5546875,21
1761937848,1009.3125,19.8
1761937908,1011.37109375,20.5
1761937968,1005.07421875,18.6
1761938028,1005.0546875,21.3
1761938092,1005.05859375,20.6
1761938152,1005.05859375,22.7
1761938212,1005.06640625,24.3
1761938272,1005.10546875,20.1
1761938332,1005.12109375,19.9
1761938392,1005.15625,18.9
1761938452,1005.19140625,20.8
1761938512,1005.22265625,20.4
1761938572,1005.25,18.7
1761938632,1005.29296875,19.7
1761938692,1006.6328125,21.7
1761938752,1006.75,19.1
1761938812,1006.74609375,21.4
1761938872,1006.77734375,19
1761938932,1006.75,21.1
1761938992,1006.75,21.1
1761939052,1006.74609375,19.9
1761939112,1006.7734375,21.2
1761939172,1006.74609375,18.8
1761939232,1006.77734375,19.2
1761939292,1006.75,19.8
1761939352,1006.75,21
1761939412,1006.75,20.1
1761939472,1009.69921875,21.1
1761939532,1013.7578125,24.7
1761939592,1013.7578125,19.9
1761939705,1015.2578125,21.8
1761939765,1025.921875,20.5
1761939825,1023.8515625,22.1
1761939885,1023.8125,20.7
1761939945,1023.81640625,17.5
1761940005,1023.85546875,16.8
1761940065,1023.8125,17.5
1761940125,1023.83984375,18.1
1761940185,1023.80859375,17.1
1761940245,1023.8125,18.2
1761940305,1023.8125,18.3
1761940365,1023.828125,16.9
1761940425,1023.84375,18.5
1761940514,1023.80859375,18.2
1761940588,1023.85546875,18.2
1761940648,1023.8125,16.8
1761940708,1023.80859375,17.8
1761940768,1023.80859375,19.5
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VAL_ACC (goal: maximize)
Best value: 71.78
Achieved at:
- run_time = 1723
- epochs = 110
- lr = 0.00066520302682125
- batch_size = 64
- hidden_size = 4096
- dropout = 0.4525054218178
- num_dense_layers = 1
- filter = 128
- num_conv_layers = 5
Parameter statistics
| Parameter | Min | Max | Mean | Std Dev | Count |
|---|
| run_time | 236 | 2188 | 1404.8588 | 421.8012 | 680 |
| VAL_ACC | 35.84 | 71.78 | 68.4765 | 4.0788 | 680 |
| epochs | 20 | 120 | 93.3897 | 24.2986 | 680 |
| lr | 0.0001 | 0.001 | 0.0009 | 0.0002 | 680 |
| batch_size | 64 | 1024 | 154.0441 | 218.2472 | 680 |
| hidden_size | 512 | 4096 | 3192.9588 | 1036.2149 | 680 |
| dropout | 0 | 0.5 | 0.3927 | 0.131 | 680 |
| num_dense_layers | 1 | 2 | 1.1382 | 0.3451 | 680 |
| filter | 16 | 128 | 117.4147 | 17.8011 | 680 |
| num_conv_layers | 5 | 7 | 5.3912 | 0.7133 | 680 |
Show SLURM-Job-ID (if it exists)
submitit INFO (2025-10-31 17:31:54,241) - Starting with JobEnvironment(job_id=1205838, hostname=c130, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-10-31 17:31:54,243) - Loading pickle: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono/3/single_runs/1205838/1205838_submitted.pkl
Trial-Index: 12
/data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/.torch_venv_1bdd5e1e8b/lib64/python3.9/site-packages/torch/utils/data/dataloader.py:627: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 1, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Parameters: {"epochs": 108, "lr": 0.00033903630739077925, "batch_size": 195, "hidden_size": 3467, "dropout": 0.374381345231086, "num_dense_layers": 1, "filter": 49, "num_conv_layers": 6}
Debug-Infos:
========
DEBUG INFOS START:
Program-Code: python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00033903630739077925 --batch_size 195 --hidden_size 3467 --dropout 0.3743813452310860157 --num_dense_layers 1 --filter 49 --num_conv_layers 6
pwd: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt
File: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train
UID: 2105408
GID: 200270
SLURM_JOB_ID: 1205838
Status-Change-Time: 1761910410.0
Size: 19255 Bytes
Permissions: -rwxr-xr-x
Owner: s3811141
Last access: 1761928316.0
Last modification: 1761906808.0
Hostname: c130
========
DEBUG INFOS END
python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00033903630739077925 --batch_size 195 --hidden_size 3467 --dropout 0.3743813452310860157 --num_dense_layers 1 --filter 49 --num_conv_layers 6
stdout:
Hyperparameters
╭──────────────────┬────────────────────────╮
│ Parameter │ Value │
├──────────────────┼────────────────────────┤
│ Epochs │ 108 │
│ Num Dense Layers │ 1 │
│ Batch size │ 195 │
│ Learning rate │ 0.00033903630739077925 │
│ Hidden size │ 3467 │
│ Dropout │ 0.374381345231086 │
│ Optimizer │ adam │
│ Momentum │ 0.9 │
│ Weight Decay │ 0.0001 │
│ Activation │ relu │
│ Init Method │ kaiming │
│ Seed │ None │
│ Conv Filters │ 49 │
│ Num Conv Layers │ 6 │
│ Conv Kernel │ 3 │
│ Conv Stride │ 1 │
│ Conv Padding │ 1 │
╰──────────────────┴────────────────────────╯
Model Summary
╭─────────────────┬─────────────────┬─────────╮
│ Layer │ Output Shape │ Param # │
├─────────────────┼─────────────────┼─────────┤
│ conv::conv0 │ [1, 49, 32, 32] │ 1372 │
│ conv::bn0 │ [1, 49, 32, 32] │ 98 │
│ conv::act_conv0 │ [1, 49, 32, 32] │ 0 │
│ conv::conv1 │ [1, 49, 32, 32] │ 21658 │
│ conv::bn1 │ [1, 49, 32, 32] │ 98 │
│ conv::act_conv1 │ [1, 49, 32, 32] │ 0 │
│ conv::pool1 │ [1, 49, 16, 16] │ 0 │
│ conv::conv2 │ [1, 49, 16, 16] │ 21658 │
│ conv::bn2 │ [1, 49, 16, 16] │ 98 │
│ conv::act_conv2 │ [1, 49, 16, 16] │ 0 │
│ conv::conv3 │ [1, 49, 16, 16] │ 21658 │
│ conv::bn3 │ [1, 49, 16, 16] │ 98 │
│ conv::act_conv3 │ [1, 49, 16, 16] │ 0 │
│ conv::pool2 │ [1, 49, 8, 8] │ 0 │
│ conv::conv4 │ [1, 49, 8, 8] │ 21658 │
│ conv::bn4 │ [1, 49, 8, 8] │ 98 │
│ conv::act_conv4 │ [1, 49, 8, 8] │ 0 │
│ conv::conv5 │ [1, 49, 8, 8] │ 21658 │
│ conv::bn5 │ [1, 49, 8, 8] │ 98 │
│ conv::act_conv5 │ [1, 49, 8, 8] │ 0 │
│ conv::pool3 │ [1, 49, 4, 4] │ 0 │
│ dense::fc0 │ [1, 3467] │ 2721595 │
│ dense::act0 │ [1, 3467] │ 0 │
│ dense::dropout0 │ [1, 3467] │ 0 │
│ dense::output │ [1, 100] │ 346800 │
│ Total │ - │ 3178645 │
╰─────────────────┴─────────────────┴─────────╯
──────────────────────────── Epoch 1/108 - Training ────────────────────────────
Epoch-Loss: 1029.9162
─────────────────────────── Epoch 1/108 - Validation ───────────────────────────
╔══ Epoch 1/108 Summary ══╗
║ Validation Loss: 3.3572 ║
║ Accuracy: 19.89% ║
╚═════════════════════════╝
──────────────────────────── Epoch 2/108 - Training ────────────────────────────
Epoch-Loss: 866.9597
─────────────────────────── Epoch 2/108 - Validation ───────────────────────────
╔══ Epoch 2/108 Summary ══╗
║ Validation Loss: 3.0283 ║
║ Accuracy: 25.99% ║
╚═════════════════════════╝
──────────────────────────── Epoch 3/108 - Training ────────────────────────────
Epoch-Loss: 792.2914
─────────────────────────── Epoch 3/108 - Validation ───────────────────────────
╔══ Epoch 3/108 Summary ══╗
║ Validation Loss: 2.7861 ║
║ Accuracy: 29.86% ║
╚═════════════════════════╝
──────────────────────────── Epoch 4/108 - Training ────────────────────────────
Epoch-Loss: 736.0795
─────────────────────────── Epoch 4/108 - Validation ───────────────────────────
╔══ Epoch 4/108 Summary ══╗
║ Validation Loss: 2.6692 ║
║ Accuracy: 32.36% ║
╚═════════════════════════╝
──────────────────────────── Epoch 5/108 - Training ────────────────────────────
Epoch-Loss: 687.8127
─────────────────────────── Epoch 5/108 - Validation ───────────────────────────
╔══ Epoch 5/108 Summary ══╗
║ Validation Loss: 2.5002 ║
║ Accuracy: 36.15% ║
╚═════════════════════════╝
──────────────────────────── Epoch 6/108 - Training ────────────────────────────
Epoch-Loss: 651.6950
─────────────────────────── Epoch 6/108 - Validation ───────────────────────────
╔══ Epoch 6/108 Summary ══╗
║ Validation Loss: 2.4019 ║
║ Accuracy: 37.81% ║
╚═════════════════════════╝
──────────────────────────── Epoch 7/108 - Training ────────────────────────────
Epoch-Loss: 618.1593
─────────────────────────── Epoch 7/108 - Validation ───────────────────────────
╔══ Epoch 7/108 Summary ══╗
║ Validation Loss: 2.2555 ║
║ Accuracy: 41.30% ║
╚═════════════════════════╝
──────────────────────────── Epoch 8/108 - Training ────────────────────────────
Epoch-Loss: 589.3615
─────────────────────────── Epoch 8/108 - Validation ───────────────────────────
╔══ Epoch 8/108 Summary ══╗
║ Validation Loss: 2.2461 ║
║ Accuracy: 41.86% ║
╚═════════════════════════╝
──────────────────────────── Epoch 9/108 - Training ────────────────────────────
Epoch-Loss: 566.4665
─────────────────────────── Epoch 9/108 - Validation ───────────────────────────
╔══ Epoch 9/108 Summary ══╗
║ Validation Loss: 2.1191 ║
║ Accuracy: 43.88% ║
╚═════════════════════════╝
─────────────────────────── Epoch 10/108 - Training ────────────────────────────
Epoch-Loss: 543.4644
────────────────────────── Epoch 10/108 - Validation ───────────────────────────
╔═ Epoch 10/108 Summary ══╗
║ Validation Loss: 2.0525 ║
║ Accuracy: 45.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 11/108 - Training ────────────────────────────
Epoch-Loss: 525.8203
────────────────────────── Epoch 11/108 - Validation ───────────────────────────
╔═ Epoch 11/108 Summary ══╗
║ Validation Loss: 1.9981 ║
║ Accuracy: 46.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 12/108 - Training ────────────────────────────
Epoch-Loss: 506.9551
────────────────────────── Epoch 12/108 - Validation ───────────────────────────
╔═ Epoch 12/108 Summary ══╗
║ Validation Loss: 1.9765 ║
║ Accuracy: 47.58% ║
╚═════════════════════════╝
─────────────────────────── Epoch 13/108 - Training ────────────────────────────
Epoch-Loss: 489.0764
────────────────────────── Epoch 13/108 - Validation ───────────────────────────
╔═ Epoch 13/108 Summary ══╗
║ Validation Loss: 1.9112 ║
║ Accuracy: 49.05% ║
╚═════════════════════════╝
─────────────────────────── Epoch 14/108 - Training ────────────────────────────
Epoch-Loss: 475.1217
────────────────────────── Epoch 14/108 - Validation ───────────────────────────
╔═ Epoch 14/108 Summary ══╗
║ Validation Loss: 1.8780 ║
║ Accuracy: 49.84% ║
╚═════════════════════════╝
─────────────────────────── Epoch 15/108 - Training ────────────────────────────
Epoch-Loss: 461.8180
────────────────────────── Epoch 15/108 - Validation ───────────────────────────
╔═ Epoch 15/108 Summary ══╗
║ Validation Loss: 1.8567 ║
║ Accuracy: 50.11% ║
╚═════════════════════════╝
─────────────────────────── Epoch 16/108 - Training ────────────────────────────
Epoch-Loss: 445.3065
────────────────────────── Epoch 16/108 - Validation ───────────────────────────
╔═ Epoch 16/108 Summary ══╗
║ Validation Loss: 1.8476 ║
║ Accuracy: 50.21% ║
╚═════════════════════════╝
─────────────────────────── Epoch 17/108 - Training ────────────────────────────
Epoch-Loss: 435.5867
────────────────────────── Epoch 17/108 - Validation ───────────────────────────
╔═ Epoch 17/108 Summary ══╗
║ Validation Loss: 1.8086 ║
║ Accuracy: 51.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 18/108 - Training ────────────────────────────
Epoch-Loss: 422.6408
────────────────────────── Epoch 18/108 - Validation ───────────────────────────
╔═ Epoch 18/108 Summary ══╗
║ Validation Loss: 1.7807 ║
║ Accuracy: 52.08% ║
╚═════════════════════════╝
─────────────────────────── Epoch 19/108 - Training ────────────────────────────
Epoch-Loss: 409.7231
────────────────────────── Epoch 19/108 - Validation ───────────────────────────
╔═ Epoch 19/108 Summary ══╗
║ Validation Loss: 1.7823 ║
║ Accuracy: 52.18% ║
╚═════════════════════════╝
─────────────────────────── Epoch 20/108 - Training ────────────────────────────
Epoch-Loss: 403.0736
────────────────────────── Epoch 20/108 - Validation ───────────────────────────
╔═ Epoch 20/108 Summary ══╗
║ Validation Loss: 1.7615 ║
║ Accuracy: 52.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 21/108 - Training ────────────────────────────
Epoch-Loss: 388.8452
────────────────────────── Epoch 21/108 - Validation ───────────────────────────
╔═ Epoch 21/108 Summary ══╗
║ Validation Loss: 1.7615 ║
║ Accuracy: 52.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 22/108 - Training ────────────────────────────
Epoch-Loss: 380.4224
────────────────────────── Epoch 22/108 - Validation ───────────────────────────
╔═ Epoch 22/108 Summary ══╗
║ Validation Loss: 1.7097 ║
║ Accuracy: 53.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 23/108 - Training ────────────────────────────
Epoch-Loss: 371.9292
────────────────────────── Epoch 23/108 - Validation ───────────────────────────
╔═ Epoch 23/108 Summary ══╗
║ Validation Loss: 1.7065 ║
║ Accuracy: 53.98% ║
╚═════════════════════════╝
─────────────────────────── Epoch 24/108 - Training ────────────────────────────
Epoch-Loss: 362.6191
────────────────────────── Epoch 24/108 - Validation ───────────────────────────
╔═ Epoch 24/108 Summary ══╗
║ Validation Loss: 1.6725 ║
║ Accuracy: 54.67% ║
╚═════════════════════════╝
─────────────────────────── Epoch 25/108 - Training ────────────────────────────
Epoch-Loss: 351.7258
────────────────────────── Epoch 25/108 - Validation ───────────────────────────
╔═ Epoch 25/108 Summary ══╗
║ Validation Loss: 1.6740 ║
║ Accuracy: 54.84% ║
╚═════════════════════════╝
─────────────────────────── Epoch 26/108 - Training ────────────────────────────
Epoch-Loss: 345.7911
────────────────────────── Epoch 26/108 - Validation ───────────────────────────
╔═ Epoch 26/108 Summary ══╗
║ Validation Loss: 1.6820 ║
║ Accuracy: 54.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 27/108 - Training ────────────────────────────
Epoch-Loss: 336.5706
────────────────────────── Epoch 27/108 - Validation ───────────────────────────
╔═ Epoch 27/108 Summary ══╗
║ Validation Loss: 1.6833 ║
║ Accuracy: 54.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 28/108 - Training ────────────────────────────
Epoch-Loss: 328.1033
────────────────────────── Epoch 28/108 - Validation ───────────────────────────
╔═ Epoch 28/108 Summary ══╗
║ Validation Loss: 1.6734 ║
║ Accuracy: 55.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 29/108 - Training ────────────────────────────
Epoch-Loss: 319.9679
────────────────────────── Epoch 29/108 - Validation ───────────────────────────
╔═ Epoch 29/108 Summary ══╗
║ Validation Loss: 1.6541 ║
║ Accuracy: 55.68% ║
╚═════════════════════════╝
─────────────────────────── Epoch 30/108 - Training ────────────────────────────
Epoch-Loss: 315.3979
────────────────────────── Epoch 30/108 - Validation ───────────────────────────
╔═ Epoch 30/108 Summary ══╗
║ Validation Loss: 1.6621 ║
║ Accuracy: 55.16% ║
╚═════════════════════════╝
─────────────────────────── Epoch 31/108 - Training ────────────────────────────
Epoch-Loss: 278.7527
────────────────────────── Epoch 31/108 - Validation ───────────────────────────
╔═ Epoch 31/108 Summary ══╗
║ Validation Loss: 1.5536 ║
║ Accuracy: 58.07% ║
╚═════════════════════════╝
─────────────────────────── Epoch 32/108 - Training ────────────────────────────
Epoch-Loss: 265.9503
────────────────────────── Epoch 32/108 - Validation ───────────────────────────
╔═ Epoch 32/108 Summary ══╗
║ Validation Loss: 1.5466 ║
║ Accuracy: 58.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 33/108 - Training ────────────────────────────
Epoch-Loss: 261.7420
────────────────────────── Epoch 33/108 - Validation ───────────────────────────
╔═ Epoch 33/108 Summary ══╗
║ Validation Loss: 1.5490 ║
║ Accuracy: 58.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 34/108 - Training ────────────────────────────
Epoch-Loss: 258.8967
────────────────────────── Epoch 34/108 - Validation ───────────────────────────
╔═ Epoch 34/108 Summary ══╗
║ Validation Loss: 1.5525 ║
║ Accuracy: 58.31% ║
╚═════════════════════════╝
─────────────────────────── Epoch 35/108 - Training ────────────────────────────
Epoch-Loss: 257.7848
────────────────────────── Epoch 35/108 - Validation ───────────────────────────
╔═ Epoch 35/108 Summary ══╗
║ Validation Loss: 1.5539 ║
║ Accuracy: 58.24% ║
╚═════════════════════════╝
─────────────────────────── Epoch 36/108 - Training ────────────────────────────
Epoch-Loss: 252.6108
────────────────────────── Epoch 36/108 - Validation ───────────────────────────
╔═ Epoch 36/108 Summary ══╗
║ Validation Loss: 1.5480 ║
║ Accuracy: 58.59% ║
╚═════════════════════════╝
─────────────────────────── Epoch 37/108 - Training ────────────────────────────
Epoch-Loss: 253.7283
────────────────────────── Epoch 37/108 - Validation ───────────────────────────
╔═ Epoch 37/108 Summary ══╗
║ Validation Loss: 1.5485 ║
║ Accuracy: 58.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 38/108 - Training ────────────────────────────
Epoch-Loss: 250.9872
────────────────────────── Epoch 38/108 - Validation ───────────────────────────
╔═ Epoch 38/108 Summary ══╗
║ Validation Loss: 1.5504 ║
║ Accuracy: 58.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 39/108 - Training ────────────────────────────
Epoch-Loss: 249.5038
────────────────────────── Epoch 39/108 - Validation ───────────────────────────
╔═ Epoch 39/108 Summary ══╗
║ Validation Loss: 1.5447 ║
║ Accuracy: 58.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 40/108 - Training ────────────────────────────
Epoch-Loss: 247.7771
────────────────────────── Epoch 40/108 - Validation ───────────────────────────
╔═ Epoch 40/108 Summary ══╗
║ Validation Loss: 1.5462 ║
║ Accuracy: 58.71% ║
╚═════════════════════════╝
─────────────────────────── Epoch 41/108 - Training ────────────────────────────
Epoch-Loss: 246.9100
────────────────────────── Epoch 41/108 - Validation ───────────────────────────
╔═ Epoch 41/108 Summary ══╗
║ Validation Loss: 1.5492 ║
║ Accuracy: 58.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 42/108 - Training ────────────────────────────
Epoch-Loss: 246.0991
────────────────────────── Epoch 42/108 - Validation ───────────────────────────
╔═ Epoch 42/108 Summary ══╗
║ Validation Loss: 1.5462 ║
║ Accuracy: 58.67% ║
╚═════════════════════════╝
─────────────────────────── Epoch 43/108 - Training ────────────────────────────
Epoch-Loss: 242.7768
────────────────────────── Epoch 43/108 - Validation ───────────────────────────
╔═ Epoch 43/108 Summary ══╗
║ Validation Loss: 1.5463 ║
║ Accuracy: 58.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 44/108 - Training ────────────────────────────
Epoch-Loss: 243.3891
────────────────────────── Epoch 44/108 - Validation ───────────────────────────
╔═ Epoch 44/108 Summary ══╗
║ Validation Loss: 1.5484 ║
║ Accuracy: 58.66% ║
╚═════════════════════════╝
─────────────────────────── Epoch 45/108 - Training ────────────────────────────
Epoch-Loss: 241.2948
────────────────────────── Epoch 45/108 - Validation ───────────────────────────
╔═ Epoch 45/108 Summary ══╗
║ Validation Loss: 1.5474 ║
║ Accuracy: 58.77% ║
╚═════════════════════════╝
─────────────────────────── Epoch 46/108 - Training ────────────────────────────
Epoch-Loss: 243.0794
────────────────────────── Epoch 46/108 - Validation ───────────────────────────
╔═ Epoch 46/108 Summary ══╗
║ Validation Loss: 1.5444 ║
║ Accuracy: 58.83% ║
╚═════════════════════════╝
─────────────────────────── Epoch 47/108 - Training ────────────────────────────
Epoch-Loss: 239.9849
────────────────────────── Epoch 47/108 - Validation ───────────────────────────
╔═ Epoch 47/108 Summary ══╗
║ Validation Loss: 1.5419 ║
║ Accuracy: 58.87% ║
╚═════════════════════════╝
─────────────────────────── Epoch 48/108 - Training ────────────────────────────
Epoch-Loss: 238.7691
────────────────────────── Epoch 48/108 - Validation ───────────────────────────
╔═ Epoch 48/108 Summary ══╗
║ Validation Loss: 1.5420 ║
║ Accuracy: 59.04% ║
╚═════════════════════════╝
─────────────────────────── Epoch 49/108 - Training ────────────────────────────
Epoch-Loss: 236.0290
────────────────────────── Epoch 49/108 - Validation ───────────────────────────
╔═ Epoch 49/108 Summary ══╗
║ Validation Loss: 1.5451 ║
║ Accuracy: 58.61% ║
╚═════════════════════════╝
─────────────────────────── Epoch 50/108 - Training ────────────────────────────
Epoch-Loss: 235.9138
────────────────────────── Epoch 50/108 - Validation ───────────────────────────
╔═ Epoch 50/108 Summary ══╗
║ Validation Loss: 1.5426 ║
║ Accuracy: 58.81% ║
╚═════════════════════════╝
─────────────────────────── Epoch 51/108 - Training ────────────────────────────
Epoch-Loss: 235.8286
────────────────────────── Epoch 51/108 - Validation ───────────────────────────
╔═ Epoch 51/108 Summary ══╗
║ Validation Loss: 1.5387 ║
║ Accuracy: 58.77% ║
╚═════════════════════════╝
─────────────────────────── Epoch 52/108 - Training ────────────────────────────
Epoch-Loss: 233.5357
────────────────────────── Epoch 52/108 - Validation ───────────────────────────
╔═ Epoch 52/108 Summary ══╗
║ Validation Loss: 1.5422 ║
║ Accuracy: 58.74% ║
╚═════════════════════════╝
─────────────────────────── Epoch 53/108 - Training ────────────────────────────
Epoch-Loss: 232.9404
────────────────────────── Epoch 53/108 - Validation ───────────────────────────
╔═ Epoch 53/108 Summary ══╗
║ Validation Loss: 1.5407 ║
║ Accuracy: 58.88% ║
╚═════════════════════════╝
─────────────────────────── Epoch 54/108 - Training ────────────────────────────
Epoch-Loss: 232.4154
────────────────────────── Epoch 54/108 - Validation ───────────────────────────
╔═ Epoch 54/108 Summary ══╗
║ Validation Loss: 1.5387 ║
║ Accuracy: 59.09% ║
╚═════════════════════════╝
─────────────────────────── Epoch 55/108 - Training ────────────────────────────
Epoch-Loss: 232.0105
────────────────────────── Epoch 55/108 - Validation ───────────────────────────
╔═ Epoch 55/108 Summary ══╗
║ Validation Loss: 1.5358 ║
║ Accuracy: 58.98% ║
╚═════════════════════════╝
─────────────────────────── Epoch 56/108 - Training ────────────────────────────
Epoch-Loss: 230.7936
────────────────────────── Epoch 56/108 - Validation ───────────────────────────
╔═ Epoch 56/108 Summary ══╗
║ Validation Loss: 1.5357 ║
║ Accuracy: 59.10% ║
╚═════════════════════════╝
─────────────────────────── Epoch 57/108 - Training ────────────────────────────
Epoch-Loss: 228.1514
────────────────────────── Epoch 57/108 - Validation ───────────────────────────
╔═ Epoch 57/108 Summary ══╗
║ Validation Loss: 1.5367 ║
║ Accuracy: 59.08% ║
╚═════════════════════════╝
─────────────────────────── Epoch 58/108 - Training ────────────────────────────
Epoch-Loss: 226.9277
────────────────────────── Epoch 58/108 - Validation ───────────────────────────
╔═ Epoch 58/108 Summary ══╗
║ Validation Loss: 1.5367 ║
║ Accuracy: 59.21% ║
╚═════════════════════════╝
─────────────────────────── Epoch 59/108 - Training ────────────────────────────
Epoch-Loss: 226.3998
────────────────────────── Epoch 59/108 - Validation ───────────────────────────
╔═ Epoch 59/108 Summary ══╗
║ Validation Loss: 1.5340 ║
║ Accuracy: 59.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 60/108 - Training ────────────────────────────
Epoch-Loss: 226.1325
────────────────────────── Epoch 60/108 - Validation ───────────────────────────
╔═ Epoch 60/108 Summary ══╗
║ Validation Loss: 1.5380 ║
║ Accuracy: 59.19% ║
╚═════════════════════════╝
─────────────────────────── Epoch 61/108 - Training ────────────────────────────
Epoch-Loss: 220.9678
────────────────────────── Epoch 61/108 - Validation ───────────────────────────
╔═ Epoch 61/108 Summary ══╗
║ Validation Loss: 1.5321 ║
║ Accuracy: 59.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 62/108 - Training ────────────────────────────
Epoch-Loss: 221.4171
────────────────────────── Epoch 62/108 - Validation ───────────────────────────
╔═ Epoch 62/108 Summary ══╗
║ Validation Loss: 1.5318 ║
║ Accuracy: 59.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 63/108 - Training ────────────────────────────
Epoch-Loss: 221.1945
────────────────────────── Epoch 63/108 - Validation ───────────────────────────
╔═ Epoch 63/108 Summary ══╗
║ Validation Loss: 1.5323 ║
║ Accuracy: 59.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 64/108 - Training ────────────────────────────
Epoch-Loss: 220.4438
────────────────────────── Epoch 64/108 - Validation ───────────────────────────
╔═ Epoch 64/108 Summary ══╗
║ Validation Loss: 1.5316 ║
║ Accuracy: 59.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 65/108 - Training ────────────────────────────
Epoch-Loss: 221.1361
────────────────────────── Epoch 65/108 - Validation ───────────────────────────
╔═ Epoch 65/108 Summary ══╗
║ Validation Loss: 1.5313 ║
║ Accuracy: 59.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 66/108 - Training ────────────────────────────
Epoch-Loss: 218.3884
────────────────────────── Epoch 66/108 - Validation ───────────────────────────
╔═ Epoch 66/108 Summary ══╗
║ Validation Loss: 1.5334 ║
║ Accuracy: 59.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 67/108 - Training ────────────────────────────
Epoch-Loss: 219.7020
────────────────────────── Epoch 67/108 - Validation ───────────────────────────
╔═ Epoch 67/108 Summary ══╗
║ Validation Loss: 1.5319 ║
║ Accuracy: 59.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 68/108 - Training ────────────────────────────
Epoch-Loss: 219.3875
────────────────────────── Epoch 68/108 - Validation ───────────────────────────
╔═ Epoch 68/108 Summary ══╗
║ Validation Loss: 1.5308 ║
║ Accuracy: 59.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 69/108 - Training ────────────────────────────
Epoch-Loss: 218.8227
────────────────────────── Epoch 69/108 - Validation ───────────────────────────
╔═ Epoch 69/108 Summary ══╗
║ Validation Loss: 1.5317 ║
║ Accuracy: 59.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 70/108 - Training ────────────────────────────
Epoch-Loss: 218.1576
────────────────────────── Epoch 70/108 - Validation ───────────────────────────
╔═ Epoch 70/108 Summary ══╗
║ Validation Loss: 1.5341 ║
║ Accuracy: 59.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 71/108 - Training ────────────────────────────
Epoch-Loss: 218.8830
────────────────────────── Epoch 71/108 - Validation ───────────────────────────
╔═ Epoch 71/108 Summary ══╗
║ Validation Loss: 1.5325 ║
║ Accuracy: 59.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 72/108 - Training ────────────────────────────
Epoch-Loss: 218.4545
────────────────────────── Epoch 72/108 - Validation ───────────────────────────
╔═ Epoch 72/108 Summary ══╗
║ Validation Loss: 1.5324 ║
║ Accuracy: 59.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 73/108 - Training ────────────────────────────
Epoch-Loss: 218.2116
────────────────────────── Epoch 73/108 - Validation ───────────────────────────
╔═ Epoch 73/108 Summary ══╗
║ Validation Loss: 1.5344 ║
║ Accuracy: 59.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 74/108 - Training ────────────────────────────
Epoch-Loss: 219.0852
────────────────────────── Epoch 74/108 - Validation ───────────────────────────
╔═ Epoch 74/108 Summary ══╗
║ Validation Loss: 1.5328 ║
║ Accuracy: 59.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 75/108 - Training ────────────────────────────
Epoch-Loss: 216.9338
────────────────────────── Epoch 75/108 - Validation ───────────────────────────
╔═ Epoch 75/108 Summary ══╗
║ Validation Loss: 1.5342 ║
║ Accuracy: 59.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 76/108 - Training ────────────────────────────
Epoch-Loss: 218.8977
────────────────────────── Epoch 76/108 - Validation ───────────────────────────
╔═ Epoch 76/108 Summary ══╗
║ Validation Loss: 1.5323 ║
║ Accuracy: 59.38% ║
╚═════════════════════════╝
─────────────────────────── Epoch 77/108 - Training ────────────────────────────
Epoch-Loss: 217.9543
────────────────────────── Epoch 77/108 - Validation ───────────────────────────
╔═ Epoch 77/108 Summary ══╗
║ Validation Loss: 1.5322 ║
║ Accuracy: 59.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 78/108 - Training ────────────────────────────
Epoch-Loss: 219.0874
────────────────────────── Epoch 78/108 - Validation ───────────────────────────
╔═ Epoch 78/108 Summary ══╗
║ Validation Loss: 1.5318 ║
║ Accuracy: 59.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 79/108 - Training ────────────────────────────
Epoch-Loss: 217.1034
────────────────────────── Epoch 79/108 - Validation ───────────────────────────
╔═ Epoch 79/108 Summary ══╗
║ Validation Loss: 1.5305 ║
║ Accuracy: 59.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 80/108 - Training ────────────────────────────
Epoch-Loss: 216.1420
────────────────────────── Epoch 80/108 - Validation ───────────────────────────
╔═ Epoch 80/108 Summary ══╗
║ Validation Loss: 1.5320 ║
║ Accuracy: 59.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 81/108 - Training ────────────────────────────
Epoch-Loss: 218.0972
────────────────────────── Epoch 81/108 - Validation ───────────────────────────
╔═ Epoch 81/108 Summary ══╗
║ Validation Loss: 1.5320 ║
║ Accuracy: 59.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 82/108 - Training ────────────────────────────
Epoch-Loss: 218.3401
────────────────────────── Epoch 82/108 - Validation ───────────────────────────
╔═ Epoch 82/108 Summary ══╗
║ Validation Loss: 1.5316 ║
║ Accuracy: 59.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 83/108 - Training ────────────────────────────
Epoch-Loss: 217.1275
────────────────────────── Epoch 83/108 - Validation ───────────────────────────
╔═ Epoch 83/108 Summary ══╗
║ Validation Loss: 1.5323 ║
║ Accuracy: 59.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 84/108 - Training ────────────────────────────
Epoch-Loss: 217.0540
────────────────────────── Epoch 84/108 - Validation ───────────────────────────
╔═ Epoch 84/108 Summary ══╗
║ Validation Loss: 1.5328 ║
║ Accuracy: 59.26% ║
╚═════════════════════════╝
─────────────────────────── Epoch 85/108 - Training ────────────────────────────
Epoch-Loss: 217.4061
────────────────────────── Epoch 85/108 - Validation ───────────────────────────
╔═ Epoch 85/108 Summary ══╗
║ Validation Loss: 1.5350 ║
║ Accuracy: 59.26% ║
╚═════════════════════════╝
─────────────────────────── Epoch 86/108 - Training ────────────────────────────
Epoch-Loss: 216.9812
────────────────────────── Epoch 86/108 - Validation ───────────────────────────
╔═ Epoch 86/108 Summary ══╗
║ Validation Loss: 1.5313 ║
║ Accuracy: 59.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 87/108 - Training ────────────────────────────
Epoch-Loss: 215.8857
────────────────────────── Epoch 87/108 - Validation ───────────────────────────
╔═ Epoch 87/108 Summary ══╗
║ Validation Loss: 1.5307 ║
║ Accuracy: 59.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 88/108 - Training ────────────────────────────
Epoch-Loss: 215.9075
────────────────────────── Epoch 88/108 - Validation ───────────────────────────
╔═ Epoch 88/108 Summary ══╗
║ Validation Loss: 1.5320 ║
║ Accuracy: 59.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 89/108 - Training ────────────────────────────
Epoch-Loss: 216.9867
────────────────────────── Epoch 89/108 - Validation ───────────────────────────
╔═ Epoch 89/108 Summary ══╗
║ Validation Loss: 1.5320 ║
║ Accuracy: 59.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 90/108 - Training ────────────────────────────
Epoch-Loss: 218.1800
────────────────────────── Epoch 90/108 - Validation ───────────────────────────
╔═ Epoch 90/108 Summary ══╗
║ Validation Loss: 1.5306 ║
║ Accuracy: 59.26% ║
╚═════════════════════════╝
─────────────────────────── Epoch 91/108 - Training ────────────────────────────
Epoch-Loss: 216.5109
────────────────────────── Epoch 91/108 - Validation ───────────────────────────
╔═ Epoch 91/108 Summary ══╗
║ Validation Loss: 1.5309 ║
║ Accuracy: 59.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 92/108 - Training ────────────────────────────
Epoch-Loss: 216.5920
────────────────────────── Epoch 92/108 - Validation ───────────────────────────
╔═ Epoch 92/108 Summary ══╗
║ Validation Loss: 1.5301 ║
║ Accuracy: 59.57% ║
╚═════════════════════════╝
─────────────────────────── Epoch 93/108 - Training ────────────────────────────
Epoch-Loss: 216.8949
────────────────────────── Epoch 93/108 - Validation ───────────────────────────
╔═ Epoch 93/108 Summary ══╗
║ Validation Loss: 1.5323 ║
║ Accuracy: 59.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 94/108 - Training ────────────────────────────
Epoch-Loss: 215.6156
────────────────────────── Epoch 94/108 - Validation ───────────────────────────
╔═ Epoch 94/108 Summary ══╗
║ Validation Loss: 1.5326 ║
║ Accuracy: 59.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 95/108 - Training ────────────────────────────
Epoch-Loss: 216.0020
────────────────────────── Epoch 95/108 - Validation ───────────────────────────
╔═ Epoch 95/108 Summary ══╗
║ Validation Loss: 1.5318 ║
║ Accuracy: 59.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 96/108 - Training ────────────────────────────
Epoch-Loss: 216.9988
────────────────────────── Epoch 96/108 - Validation ───────────────────────────
╔═ Epoch 96/108 Summary ══╗
║ Validation Loss: 1.5309 ║
║ Accuracy: 59.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 97/108 - Training ────────────────────────────
Epoch-Loss: 215.7833
────────────────────────── Epoch 97/108 - Validation ───────────────────────────
╔═ Epoch 97/108 Summary ══╗
║ Validation Loss: 1.5313 ║
║ Accuracy: 59.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 98/108 - Training ────────────────────────────
Epoch-Loss: 216.3454
────────────────────────── Epoch 98/108 - Validation ───────────────────────────
╔═ Epoch 98/108 Summary ══╗
║ Validation Loss: 1.5309 ║
║ Accuracy: 59.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 99/108 - Training ────────────────────────────
Epoch-Loss: 216.4763
────────────────────────── Epoch 99/108 - Validation ───────────────────────────
╔═ Epoch 99/108 Summary ══╗
║ Validation Loss: 1.5321 ║
║ Accuracy: 59.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 100/108 - Training ───────────────────────────
Epoch-Loss: 216.3133
────────────────────────── Epoch 100/108 - Validation ──────────────────────────
╔═ Epoch 100/108 Summary ═╗
║ Validation Loss: 1.5330 ║
║ Accuracy: 59.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 101/108 - Training ───────────────────────────
Epoch-Loss: 216.0722
────────────────────────── Epoch 101/108 - Validation ──────────────────────────
╔═ Epoch 101/108 Summary ═╗
║ Validation Loss: 1.5305 ║
║ Accuracy: 59.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 102/108 - Training ───────────────────────────
Epoch-Loss: 215.0247
────────────────────────── Epoch 102/108 - Validation ──────────────────────────
╔═ Epoch 102/108 Summary ═╗
║ Validation Loss: 1.5313 ║
║ Accuracy: 59.44% ║
╚═════════════════════════╝
─────────────────────────── Epoch 103/108 - Training ───────────────────────────
Epoch-Loss: 215.5856
────────────────────────── Epoch 103/108 - Validation ──────────────────────────
╔═ Epoch 103/108 Summary ═╗
║ Validation Loss: 1.5323 ║
║ Accuracy: 59.53% ║
╚═════════════════════════╝
─────────────────────────── Epoch 104/108 - Training ───────────────────────────
Epoch-Loss: 215.7849
────────────────────────── Epoch 104/108 - Validation ──────────────────────────
╔═ Epoch 104/108 Summary ═╗
║ Validation Loss: 1.5318 ║
║ Accuracy: 59.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 105/108 - Training ───────────────────────────
Epoch-Loss: 214.9405
────────────────────────── Epoch 105/108 - Validation ──────────────────────────
╔═ Epoch 105/108 Summary ═╗
║ Validation Loss: 1.5325 ║
║ Accuracy: 59.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 106/108 - Training ───────────────────────────
Epoch-Loss: 215.8894
────────────────────────── Epoch 106/108 - Validation ──────────────────────────
╔═ Epoch 106/108 Summary ═╗
║ Validation Loss: 1.5314 ║
║ Accuracy: 59.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 107/108 - Training ───────────────────────────
Epoch-Loss: 216.7977
────────────────────────── Epoch 107/108 - Validation ──────────────────────────
╔═ Epoch 107/108 Summary ═╗
║ Validation Loss: 1.5324 ║
║ Accuracy: 59.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 108/108 - Training ───────────────────────────
Epoch-Loss: 216.5933
────────────────────────── Epoch 108/108 - Validation ──────────────────────────
╔═ Epoch 108/108 Summary ═╗
║ Validation Loss: 1.5308 ║
║ Accuracy: 59.47% ║
╚═════════════════════════╝
VAL_LOSS: 1.5307820508113275
VAL_ACC: 59.47
RUNTIME: 1222.377
NORMALIZED_RUNTIME: 16.977
stderr:
/data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/.torch_venv_1bdd5e1e8b/lib64/python3.9/site-packages/torch/utils/data/dataloader.py:627: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 1, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Result: {'VAL_ACC': 59.47}
Final-results: {'VAL_ACC': 59.47}
EXIT_CODE: 0
submitit INFO (2025-10-31 17:52:26,920) - Job completed successfully
submitit INFO (2025-10-31 17:52:26,922) - Exiting after successful completion
