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 | FAILED | RUNNING |
| SOBOL | 20 | 20 | 0 | 0 |
| BOTORCH_MODULAR | 360 | 335 | 3 | 22 |
Experiment parameters
| Name | Type | Lower bound | Upper bound | Values | Type | Log Scale? |
|---|
| epochs | range | 50 | 250 | | int | No |
| lr | range | 0.0001 | 0.003 | | float | No |
| batch_size | range | 8 | 256 | | int | No |
| hidden_size | range | 500 | 8000 | | int | No |
| dropout | range | 0 | 0.6 | | float | No |
| num_dense_layers | fixed | | | 1 | | |
| filter | range | 20 | 250 | | int | No |
| num_conv_layers | range | 4 | 6 | | int | No |
| pool_kernel | range | 1 | 4 | | int | No |
| activation | choice | | | relu, tanh, leaky_relu, sigmoid, swiglu | | |
Number of evaluations
| Failed |
Succeeded |
Running |
Total |
| 3 |
355 |
22 |
380 |
Result names and types
Last progressbar status
2025-11-05 14:08:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 10 = ∑10/20, new result: VAL_ACC: 73.210000
Git-Version
Commit: 4234251da23ca4c1533f0765399f244bdc2000bc (9051-5-g4234251da)
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,filter,num_conv_layers,pool_kernel,activation,num_dense_layers
0,1762261748,19,76313c10-831d-43e7-a4b8-38ab472d921f,1762261767,1762263248,1481,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 122 --learning_rate 0.00130595207512378716 --batch_size 228 --hidden_size 5029 --dropout 0.19210735559463501532 --filter 104 --num_conv_layers 5 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c21,1216051,0_0,COMPLETED,SOBOL,67.349999999999994315658113919199,122,0.001305952075123787163232758068,228,5029,0.192107355594635015316740123126,104,5,4,relu,1
1,1762261748,104,76313c10-831d-43e7-a4b8-38ab472d921f,1762261852,1762268645,6793,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 230 --learning_rate 0.00277200793428346521 --batch_size 18 --hidden_size 1014 --dropout 0.44063051082193849251 --filter 182 --num_conv_layers 5 --activation tanh --pool_kernel 1 --num_dense_layers 1 --dense_activation tanh,0,,c129,1216052,1_0,COMPLETED,SOBOL,42.71000000000000085265128291212,230,0.0027720079342834652059990308,18,1014,0.440630510821938492505012163747,182,5,1,tanh,1
2,1762261748,164,76313c10-831d-43e7-a4b8-38ab472d921f,1762261912,1762264894,2982,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 188 --learning_rate 0.00023085444932803513 --batch_size 171 --hidden_size 7971 --dropout 0.45125602371990680695 --filter 215 --num_conv_layers 4 --activation tanh --pool_kernel 2 --num_dense_layers 1 --dense_activation tanh,0,,c38,1216056,2_0,COMPLETED,SOBOL,61.03999999999999914734871708788,188,0.000230854449328035129206104781,171,7971,0.45125602371990680694580078125,215,4,2,tanh,1
3,1762261748,14,76313c10-831d-43e7-a4b8-38ab472d921f,1762261762,1762262543,781,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 58 --learning_rate 0.00166497562453150763 --batch_size 84 --hidden_size 3957 --dropout 0.10662761013954877298 --filter 64 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c111,1216050,3_0,COMPLETED,SOBOL,65.769999999999996020960679743439,58,0.001664975624531507634312754718,84,3957,0.106627610139548772982820423749,64,6,3,leaky_relu,1
4,1762261748,193,76313c10-831d-43e7-a4b8-38ab472d921f,1762261941,1762263266,1325,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 76 --learning_rate 0.00049281896585598591 --batch_size 49 --hidden_size 2716 --dropout 0.00422589462250471098 --filter 132 --num_conv_layers 4 --activation sigmoid --pool_kernel 2 --num_dense_layers 1 --dense_activation sigmoid,0,,c140,1216057,4_0,COMPLETED,SOBOL,55.46999999999999886313162278384,76,0.000492818965855985912684344985,49,2716,0.004225894622504710977650699277,132,4,2,sigmoid,1
5,1762261748,103,76313c10-831d-43e7-a4b8-38ab472d921f,1762261851,1762264157,2306,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 171 --learning_rate 0.00194676121603697561 --batch_size 198 --hidden_size 6144 --dropout 0.55365773923695082992 --filter 154 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c21,1216054,5_0,COMPLETED,SOBOL,71.450000000000002842170943040401,171,0.001946761216036975612742043751,198,6144,0.553657739236950829919692296244,154,6,3,leaky_relu,1
6,1762261748,134,76313c10-831d-43e7-a4b8-38ab472d921f,1762261882,1762265211,3329,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 211 --learning_rate 0.0008627375910058619 --batch_size 115 --hidden_size 1900 --dropout 0.33914432264864441402 --filter 245 --num_conv_layers 5 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c116,1216055,6_0,COMPLETED,SOBOL,71.549999999999997157829056959599,211,0.000862737591005861901953533089,115,1900,0.339144322648644414019969417495,245,5,4,relu,1
7,1762261748,439,76313c10-831d-43e7-a4b8-38ab472d921f,1762262187,1762263938,1751,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 144 --learning_rate 0.00230897234277799724 --batch_size 138 --hidden_size 5328 --dropout 0.29359354209154842064 --filter 34 --num_conv_layers 6 --activation tanh --pool_kernel 1 --num_dense_layers 1 --dense_activation tanh,0,,c35,1216066,7_0,COMPLETED,SOBOL,54.92000000000000170530256582424,144,0.002308972342777997240059750794,138,5328,0.293593542091548420636115679372,34,6,1,tanh,1
8,1762261748,285,76313c10-831d-43e7-a4b8-38ab472d921f,1762262033,1762263734,1701,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 135 --learning_rate 0.00036947623407468198 --batch_size 127 --hidden_size 7058 --dropout 0.39565651305019855499 --filter 49 --num_conv_layers 4 --activation sigmoid --pool_kernel 2 --num_dense_layers 1 --dense_activation sigmoid,0,,c146,1216062,8_0,COMPLETED,SOBOL,53.3500000000000014210854715202,135,0.000369476234074681984722449135,127,7058,0.39565651305019855499267578125,49,4,2,sigmoid,1
9,1762261748,256,76313c10-831d-43e7-a4b8-38ab472d921f,1762262004,1762265160,3156,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 218 --learning_rate 0.00180358323529362691 --batch_size 150 --hidden_size 2986 --dropout 0.16208128016442061026 --filter 201 --num_conv_layers 6 --activation tanh --pool_kernel 3 --num_dense_layers 1 --dense_activation tanh,0,,c78,1216061,9_0,COMPLETED,SOBOL,69.680000000000006821210263296962,218,0.001803583235293626909137576497,150,2986,0.162081280164420610256925670001,201,6,3,tanh,1
10,1762261748,26,76313c10-831d-43e7-a4b8-38ab472d921f,1762261774,1762264407,2633,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.0014388513188809157 --batch_size 69 --hidden_size 6000 --dropout 0.13518862556666136343 --filter 169 --num_conv_layers 5 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c115,1216049,10_0,COMPLETED,SOBOL,70.28000000000000113686837721616,150,0.001438851318880915702153044933,69,6000,0.135188625566661363430753795001,169,5,4,relu,1
11,1762261748,224,76313c10-831d-43e7-a4b8-38ab472d921f,1762261972,1762263095,1123,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 95 --learning_rate 0.00290492131961509609 --batch_size 218 --hidden_size 1927 --dropout 0.4976952228695153968 --filter 88 --num_conv_layers 5 --activation swiglu --pool_kernel 1 --num_dense_layers 1 --dense_activation swiglu,0,,c116,1216060,11_0,COMPLETED,SOBOL,65.730000000000003979039320256561,95,0.002904921319615096086952377163,218,1927,0.497695222869515396801887163747,88,5,1,swiglu,1
12,1762261748,314,76313c10-831d-43e7-a4b8-38ab472d921f,1762262062,1762262768,706,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00117689000014215722 --batch_size 182 --hidden_size 937 --dropout 0.58339775539934635162 --filter 21 --num_conv_layers 4 --activation sigmoid --pool_kernel 4 --num_dense_layers 1 --dense_activation sigmoid,0,,c115,1216064,12_0,COMPLETED,SOBOL,49.270000000000003126388037344441,64,0.001176890000142157216914129414,182,937,0.58339775539934635162353515625,21,4,4,sigmoid,1
13,1762261748,285,76313c10-831d-43e7-a4b8-38ab472d921f,1762262033,1762265165,3132,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 184 --learning_rate 0.00262313270317390563 --batch_size 96 --hidden_size 4424 --dropout 0.04948609303683042249 --filter 229 --num_conv_layers 5 --activation swiglu --pool_kernel 1 --num_dense_layers 1 --dense_activation swiglu,0,,c133,1216063,13_0,COMPLETED,SOBOL,62.78000000000000113686837721616,184,0.002623132703173905629079332158,96,4424,0.049486093036830422486893610312,229,5,1,swiglu,1
14,1762261748,374,76313c10-831d-43e7-a4b8-38ab472d921f,1762262122,1762265293,3171,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 248 --learning_rate 0.00081268755281344062 --batch_size 247 --hidden_size 3620 --dropout 0.24745422285050153177 --filter 139 --num_conv_layers 4 --activation relu --pool_kernel 2 --num_dense_layers 1 --dense_activation relu,0,,c118,1216065,14_0,COMPLETED,SOBOL,66.560000000000002273736754432321,248,0.0008126875528134406201016815,247,3620,0.247454222850501531771882923749,139,4,2,relu,1
15,1762261748,194,76313c10-831d-43e7-a4b8-38ab472d921f,1762261942,1762263966,2024,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 106 --learning_rate 0.00226662185173481714 --batch_size 38 --hidden_size 7107 --dropout 0.31028357036411763348 --filter 118 --num_conv_layers 6 --activation swiglu --pool_kernel 3 --num_dense_layers 1 --dense_activation swiglu,0,,c36,1216059,15_0,COMPLETED,SOBOL,65.060000000000002273736754432321,106,0.002266621851734817137680177979,38,7107,0.310283570364117633477718527502,118,6,3,swiglu,1
16,1762261748,103,76313c10-831d-43e7-a4b8-38ab472d921f,1762261851,1762263456,1605,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00073271513404324666 --batch_size 162 --hidden_size 1545 --dropout 0.07692650109529494684 --filter 222 --num_conv_layers 5 --activation sigmoid --pool_kernel 2 --num_dense_layers 1 --dense_activation sigmoid,0,,c47,1216053,16_0,COMPLETED,SOBOL,50.89000000000000056843418860808,107,0.000732715134043246656830872254,162,1545,0.076926501095294946841463001874,222,5,2,sigmoid,1
17,1762261748,194,76313c10-831d-43e7-a4b8-38ab472d921f,1762261942,1762264790,2848,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 240 --learning_rate 0.00216672292817384014 --batch_size 123 --hidden_size 5442 --dropout 0.48081464935094114788 --filter 28 --num_conv_layers 5 --activation swiglu --pool_kernel 3 --num_dense_layers 1 --dense_activation swiglu,0,,c95,1216058,17_0,COMPLETED,SOBOL,58.299999999999997157829056959599,240,0.002166722928173840136134575829,123,5442,0.48081464935094114787617058937,28,5,3,swiglu,1
18,1762261753,429,76313c10-831d-43e7-a4b8-38ab472d921f,1762262182,1762264322,2140,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 178 --learning_rate 0.00107579080369323509 --batch_size 221 --hidden_size 2605 --dropout 0.41642199475318192325 --filter 111 --num_conv_layers 6 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c29,1216067,18_0,COMPLETED,SOBOL,64.96999999999999886313162278384,178,0.001075790803693235089463775545,221,2605,0.416421994753181923254459206873,111,6,4,tanh,1
19,1762261758,465,76313c10-831d-43e7-a4b8-38ab472d921f,1762262223,1762263610,1387,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00254160600760951639 --batch_size 58 --hidden_size 6502 --dropout 0.21646521091461182196 --filter 146 --num_conv_layers 4 --activation relu --pool_kernel 1 --num_dense_layers 1 --dense_activation relu,0,,c126,1216068,19_0,COMPLETED,SOBOL,65.32999999999999829469743417576,73,0.00254160600760951638915630113,58,6502,0.216465210914611821957365123126,146,4,1,relu,1
20,1762268729,369,76313c10-831d-43e7-a4b8-38ab472d921f,1762269098,1762272181,3083,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 204 --learning_rate 0.00143090272051944983 --batch_size 144 --hidden_size 4728 --dropout 0.10082155324333823276 --filter 235 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c27,1216234,20_0,COMPLETED,BOTORCH_MODULAR,71.17000000000000170530256582424,204,0.001430902720519449831601543899,144,4728,0.10082155324333823276372612554,235,6,3,relu,1
21,1762268728,192,76313c10-831d-43e7-a4b8-38ab472d921f,1762268920,1762272041,3121,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 203 --learning_rate 0.00143775797503270649 --batch_size 147 --hidden_size 6062 --dropout 0.10712099019586351911 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c94,1216228,21_0,COMPLETED,BOTORCH_MODULAR,71.870000000000004547473508864641,203,0.001437757975032706494328271773,147,6062,0.10712099019586351911215160726,250,6,3,relu,1
22,1762268729,385,76313c10-831d-43e7-a4b8-38ab472d921f,1762269114,1762272256,3142,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 205 --learning_rate 0.00143975972939556596 --batch_size 148 --hidden_size 7440 --dropout 0.10069215246120818974 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c115,1216235,22_0,COMPLETED,BOTORCH_MODULAR,71.629999999999995452526491135359,205,0.001439759729395565955242797251,148,7440,0.100692152461208189739849672151,250,6,3,relu,1
23,1762268728,172,76313c10-831d-43e7-a4b8-38ab472d921f,1762268900,1762271906,3006,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 200 --learning_rate 0.0014507206901412785 --batch_size 151 --hidden_size 6787 --dropout 0.09521117267493253711 --filter 221 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c45,1216226,23_0,COMPLETED,BOTORCH_MODULAR,70.950000000000002842170943040401,200,0.001450720690141278504739497102,151,6787,0.095211172674932537107750363248,221,6,3,relu,1
24,1762268728,192,76313c10-831d-43e7-a4b8-38ab472d921f,1762268920,1762271971,3051,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 204 --learning_rate 0.00143934414651078198 --batch_size 149 --hidden_size 4429 --dropout 0.09518136066217545987 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c110,1216227,24_0,COMPLETED,BOTORCH_MODULAR,71.64000000000000056843418860808,204,0.001439344146510781975376036534,149,4429,0.095181360662175459874667637905,250,6,3,relu,1
25,1762268728,192,76313c10-831d-43e7-a4b8-38ab472d921f,1762268920,1762271924,3004,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 203 --learning_rate 0.00144571527367566371 --batch_size 149 --hidden_size 3110 --dropout 0.08870141801396842773 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c132,1216225,25_0,COMPLETED,BOTORCH_MODULAR,71.900000000000005684341886080801,203,0.001445715273675663705907346035,149,3110,0.088701418013968427733750843345,250,6,3,relu,1
26,1762268729,191,76313c10-831d-43e7-a4b8-38ab472d921f,1762268920,1762271820,2900,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 206 --learning_rate 0.00148617500721948755 --batch_size 188 --hidden_size 7560 --dropout 0.08415343722760251777 --filter 212 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c42,1216230,26_0,COMPLETED,BOTORCH_MODULAR,71.21999999999999886313162278384,206,0.001486175007219487547230341029,188,7560,0.084153437227602517767266476767,212,6,3,relu,1
27,1762268730,190,76313c10-831d-43e7-a4b8-38ab472d921f,1762268920,1762272150,3230,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 202 --learning_rate 0.00145159047482595004 --batch_size 148 --hidden_size 7827 --dropout 0.10294115652040827791 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c36,1216231,27_0,COMPLETED,BOTORCH_MODULAR,71.349999999999994315658113919199,202,0.001451590474825950041401489976,148,7827,0.102941156520408277907918659366,250,6,3,relu,1
28,1762268729,442,76313c10-831d-43e7-a4b8-38ab472d921f,1762269171,1762272121,2950,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 198 --learning_rate 0.001456743513794336 --batch_size 149 --hidden_size 4783 --dropout 0.10408262590018466098 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c93,1216238,28_0,COMPLETED,BOTORCH_MODULAR,71.879999999999995452526491135359,198,0.001456743513794335996569540015,149,4783,0.104082625900184660983072149065,250,6,3,relu,1
29,1762268729,431,76313c10-831d-43e7-a4b8-38ab472d921f,1762269160,1762272271,3111,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 205 --learning_rate 0.00144584058696582457 --batch_size 148 --hidden_size 6620 --dropout 0.08660725288728350624 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c6,1216236,29_0,COMPLETED,BOTORCH_MODULAR,71.71999999999999886313162278384,205,0.001445840586965824571888394878,148,6620,0.086607252887283506237459107524,250,6,3,relu,1
30,1762268729,472,76313c10-831d-43e7-a4b8-38ab472d921f,1762269201,1762272245,3044,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 204 --learning_rate 0.001441739914539377 --batch_size 159 --hidden_size 5162 --dropout 0.09676629583388529632 --filter 225 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c50,1216239,30_0,COMPLETED,BOTORCH_MODULAR,71.85999999999999943156581139192,204,0.001441739914539376995333830322,159,5162,0.096766295833885296318044311192,225,6,3,relu,1
31,1762268729,191,76313c10-831d-43e7-a4b8-38ab472d921f,1762268920,1762271854,2934,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 201 --learning_rate 0.00148783087678535839 --batch_size 182 --hidden_size 5974 --dropout 0.08697711586829483255 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c69,1216229,31_0,COMPLETED,BOTORCH_MODULAR,72.17000000000000170530256582424,201,0.001487830876785358391253821786,182,5974,0.08697711586829483254579287177,250,6,3,relu,1
32,1762268729,191,76313c10-831d-43e7-a4b8-38ab472d921f,1762268920,1762271861,2941,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 193 --learning_rate 0.00147865709542341762 --batch_size 155 --hidden_size 5802 --dropout 0.10111159719559248416 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c30,1216232,32_0,COMPLETED,BOTORCH_MODULAR,71.950000000000002842170943040401,193,0.001478657095423417623322737136,155,5802,0.101111597195592484155213242047,250,6,3,relu,1
33,1762268729,369,76313c10-831d-43e7-a4b8-38ab472d921f,1762269098,1762272264,3166,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 203 --learning_rate 0.00145103901542578966 --batch_size 139 --hidden_size 7904 --dropout 0.09276836164104618199 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c27,1216233,33_0,COMPLETED,BOTORCH_MODULAR,71.450000000000002842170943040401,203,0.001451039015425789656735244826,139,7904,0.092768361641046181986780538864,250,6,3,relu,1
34,1762268730,510,76313c10-831d-43e7-a4b8-38ab472d921f,1762269240,1762272271,3031,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 206 --learning_rate 0.00143746121921547705 --batch_size 150 --hidden_size 3787 --dropout 0.07564061911439207142 --filter 230 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c78,1216242,34_0,COMPLETED,BOTORCH_MODULAR,71.35999999999999943156581139192,206,0.001437461219215477054717000627,150,3787,0.075640619114392071420382990254,230,6,3,relu,1
35,1762268729,442,76313c10-831d-43e7-a4b8-38ab472d921f,1762269171,1762272364,3193,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 207 --learning_rate 0.00143086782132772279 --batch_size 146 --hidden_size 5562 --dropout 0.09003778269603196494 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c149,1216237,35_0,COMPLETED,BOTORCH_MODULAR,72.379999999999995452526491135359,207,0.00143086782132772279314825159,146,5562,0.090037782696031964935201585831,250,6,3,relu,1
36,1762268729,490,76313c10-831d-43e7-a4b8-38ab472d921f,1762269219,1762272297,3078,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 205 --learning_rate 0.0014510161212045276 --batch_size 157 --hidden_size 6176 --dropout 0.09377930465515142699 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c140,1216240,36_0,COMPLETED,BOTORCH_MODULAR,72.319999999999993178789736703038,205,0.001451016121204527602184253254,157,6176,0.093779304655151426994841301621,250,6,3,relu,1
37,1762268729,502,76313c10-831d-43e7-a4b8-38ab472d921f,1762269231,1762272332,3101,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 205 --learning_rate 0.00143521724749715767 --batch_size 141 --hidden_size 6413 --dropout 0.09464206194390897831 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c43,1216241,37_0,COMPLETED,BOTORCH_MODULAR,71.810000000000002273736754432321,205,0.001435217247497157667251999058,141,6413,0.094642061943908978305373125295,250,6,3,relu,1
38,1762268735,802,76313c10-831d-43e7-a4b8-38ab472d921f,1762269537,1762272425,2888,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 206 --learning_rate 0.0014858667185937795 --batch_size 198 --hidden_size 7864 --dropout 0.07335025994079244493 --filter 248 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c107,1216244,38_0,COMPLETED,BOTORCH_MODULAR,71.85999999999999943156581139192,206,0.001485866718593779499044127412,198,7864,0.073350259940792444934842819748,248,6,3,relu,1
39,1762268735,817,76313c10-831d-43e7-a4b8-38ab472d921f,1762269552,1762272600,3048,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 205 --learning_rate 0.00144127206269855463 --batch_size 150 --hidden_size 4166 --dropout 0.10134320853336141466 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c133,1216245,39_0,COMPLETED,BOTORCH_MODULAR,71.909999999999996589394868351519,205,0.001441272062698554633913827772,150,4166,0.101343208533361414658280352796,250,6,3,relu,1
40,,,,,,,,,,,,40_0,RUNNING,BOTORCH_MODULAR,,230,0.001833738569782055426171663015,236,4619,0.083798866294458443371162559288,250,6,3,leaky_relu,1
41,,,,,,,,,,,,41_0,RUNNING,BOTORCH_MODULAR,,228,0.001888276539936960740292959393,200,4924,0.041127447168352648798617110515,250,6,3,leaky_relu,1
42,1762272701,1200,76313c10-831d-43e7-a4b8-38ab472d921f,1762273901,1762277244,3343,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 230 --learning_rate 0.00186357482950822296 --batch_size 216 --hidden_size 4892 --dropout 0.06714347431734311866 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c29,1216474,42_0,COMPLETED,BOTORCH_MODULAR,72.269999999999996020960679743439,230,0.001863574829508222964122299281,216,4892,0.067143474317343118662471113112,250,6,3,leaky_relu,1
43,,,,,,,,,,,,43_0,RUNNING,BOTORCH_MODULAR,,228,0.001887953446256251509999257721,201,4629,0.062224737869138201096230744724,250,6,3,leaky_relu,1
44,1762272701,1200,76313c10-831d-43e7-a4b8-38ab472d921f,1762273901,1762277172,3271,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 227 --learning_rate 0.00196220202999062253 --batch_size 243 --hidden_size 4472 --dropout 0.08532771564802263398 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c41,1216473,44_0,COMPLETED,BOTORCH_MODULAR,71.769999999999996020960679743439,227,0.00196220202999062252879891588,243,4472,0.085327715648022633976310657999,250,6,3,leaky_relu,1
45,,,,,,,,,,,,45_0,RUNNING,BOTORCH_MODULAR,,224,0.001878625689893927662443839921,219,5102,0.05965601155839240360423403331,250,6,3,leaky_relu,1
46,,,,,,,,,,,,46_0,RUNNING,BOTORCH_MODULAR,,223,0.001881994867792152270960515104,206,4230,0.079898272115303398122065914322,250,6,3,leaky_relu,1
47,,,,,,,,,,,,47_0,RUNNING,BOTORCH_MODULAR,,229,0.001879598318584709297149326623,202,4854,0.070067763751234274360868425902,250,6,3,leaky_relu,1
48,,,,,,,,,,,,48_0,RUNNING,BOTORCH_MODULAR,,229,0.0018260847511045888522801528,212,4741,0.042818109025298117797930785855,250,6,3,leaky_relu,1
49,,,,,,,,,,,,49_0,RUNNING,BOTORCH_MODULAR,,231,0.001871508123074210787686877389,216,4363,0.027569364456919921019251162875,250,6,3,leaky_relu,1
50,,,,,,,,,,,,50_0,RUNNING,BOTORCH_MODULAR,,227,0.001914835551146018294971229423,213,5005,0.05400922898996523419112847364,250,6,3,leaky_relu,1
51,1762272701,1289,76313c10-831d-43e7-a4b8-38ab472d921f,1762273990,1762277467,3477,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 246 --learning_rate 0.00191533817724769085 --batch_size 228 --hidden_size 3680 --dropout 0.06057755351681433365 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c129,1216475,51_0,COMPLETED,BOTORCH_MODULAR,72.099999999999994315658113919199,246,0.001915338177247690853305384096,228,3680,0.060577553516814333645079670987,250,6,3,leaky_relu,1
52,,,,,,,,,,,,52_0,RUNNING,BOTORCH_MODULAR,,227,0.001863333373797413598099703691,208,4736,0.093903663970069967126264032231,250,6,3,leaky_relu,1
53,,,,,,,,,,,,53_0,RUNNING,BOTORCH_MODULAR,,233,0.001901149808876916166497372807,256,4846,0.093060443712060500476290769711,250,6,3,leaky_relu,1
54,,,,,,,,,,,,54_0,RUNNING,BOTORCH_MODULAR,,218,0.001876803890812735447352066487,239,5471,0.109424491147011207492489859305,250,6,3,leaky_relu,1
55,,,,,,,,,,,,55_0,RUNNING,BOTORCH_MODULAR,,234,0.001811928920713254528504498886,215,5841,0.057673386595167831780717193624,250,6,3,leaky_relu,1
56,1762272783,1389,76313c10-831d-43e7-a4b8-38ab472d921f,1762274172,1762277652,3480,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 245 --learning_rate 0.00193454512413495359 --batch_size 242 --hidden_size 4982 --dropout 0.03688685048283737306 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c137,1216489,56_0,COMPLETED,BOTORCH_MODULAR,71.560000000000002273736754432321,245,0.001934545124134953589592478274,242,4982,0.036886850482837373055300389524,250,6,3,leaky_relu,1
57,1762272784,1387,76313c10-831d-43e7-a4b8-38ab472d921f,1762274171,1762277512,3341,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 229 --learning_rate 0.00179667145386938642 --batch_size 200 --hidden_size 4788 --dropout 0.05617224134129467777 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c126,1216490,57_0,COMPLETED,BOTORCH_MODULAR,71.92000000000000170530256582424,229,0.001796671453869386420390541481,200,4788,0.056172241341294677774431676198,250,6,3,leaky_relu,1
58,1762272788,1383,76313c10-831d-43e7-a4b8-38ab472d921f,1762274171,1762277467,3296,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 231 --learning_rate 0.0017995149889654693 --batch_size 230 --hidden_size 3055 --dropout 0.09789076570517959985 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c93,1216491,58_0,COMPLETED,BOTORCH_MODULAR,71.680000000000006821210263296962,231,0.001799514988965469301090971399,230,3055,0.097890765705179599853735794568,250,6,3,leaky_relu,1
59,1762272792,1380,76313c10-831d-43e7-a4b8-38ab472d921f,1762274172,1762277469,3297,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 226 --learning_rate 0.00204138885644412037 --batch_size 199 --hidden_size 5212 --dropout 0.0857364945321899552 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c85,1216492,59_0,COMPLETED,BOTORCH_MODULAR,72.090000000000003410605131648481,226,0.002041388856444120367128469695,199,5212,0.085736494532189955197765129924,250,6,3,leaky_relu,1
60,1762277742,137,76313c10-831d-43e7-a4b8-38ab472d921f,1762277879,1762281100,3221,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 220 --learning_rate 0.00241004333147286408 --batch_size 214 --hidden_size 6686 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c13,1216718,60_0,COMPLETED,BOTORCH_MODULAR,71.430000000000006821210263296962,220,0.002410043331472864081704843287,214,6686,0.599999999999999977795539507497,250,6,3,relu,1
61,1762277741,15,76313c10-831d-43e7-a4b8-38ab472d921f,1762277756,1762281446,3690,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00300000000000000006 --batch_size 171 --hidden_size 5687 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c46,1216709,61_0,COMPLETED,BOTORCH_MODULAR,71.53000000000000113686837721616,250,0.003000000000000000062450045135,171,5687,0.599999999999999977795539507497,250,6,3,relu,1
62,1762277742,195,76313c10-831d-43e7-a4b8-38ab472d921f,1762277937,1762281647,3710,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00255700474269222704 --batch_size 172 --hidden_size 6084 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c42,1216720,62_0,COMPLETED,BOTORCH_MODULAR,71.450000000000002842170943040401,250,0.002557004742692227036715557631,172,6084,0.599999999999999977795539507497,250,6,3,relu,1
63,1762277741,15,76313c10-831d-43e7-a4b8-38ab472d921f,1762277756,1762281105,3349,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 229 --learning_rate 0.00270749154977649887 --batch_size 182 --hidden_size 5958 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c38,1216711,63_0,COMPLETED,BOTORCH_MODULAR,71.32999999999999829469743417576,229,0.002707491549776498869495089394,182,5958,0.599999999999999977795539507497,250,6,3,relu,1
64,1762277741,18,76313c10-831d-43e7-a4b8-38ab472d921f,1762277759,1762281394,3635,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 248 --learning_rate 0.00300000000000000006 --batch_size 207 --hidden_size 6052 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c46,1216710,64_0,COMPLETED,BOTORCH_MODULAR,71.099999999999994315658113919199,248,0.003000000000000000062450045135,207,6052,0.599999999999999977795539507497,250,6,3,relu,1
65,1762277741,46,76313c10-831d-43e7-a4b8-38ab472d921f,1762277787,1762281453,3666,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00296506959365034099 --batch_size 176 --hidden_size 3861 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c90,1216712,65_0,COMPLETED,BOTORCH_MODULAR,70.629999999999995452526491135359,250,0.002965069593650340989271496639,176,3861,0.599999999999999977795539507497,250,6,3,relu,1
66,1762277741,292,76313c10-831d-43e7-a4b8-38ab472d921f,1762278033,1762281570,3537,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 243 --learning_rate 0.00261745187078222348 --batch_size 208 --hidden_size 5360 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c40,1216724,66_0,COMPLETED,BOTORCH_MODULAR,71.689999999999997726263245567679,243,0.002617451870782223476846750643,208,5360,0.599999999999999977795539507497,250,6,3,relu,1
67,1762277741,136,76313c10-831d-43e7-a4b8-38ab472d921f,1762277877,1762281564,3687,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00282118634117168145 --batch_size 170 --hidden_size 4014 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c43,1216717,67_0,COMPLETED,BOTORCH_MODULAR,71.159999999999996589394868351519,250,0.002821186341171681450507024991,170,4014,0.599999999999999977795539507497,250,6,3,relu,1
68,1762277741,226,76313c10-831d-43e7-a4b8-38ab472d921f,1762277967,1762281591,3624,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00276943513429607664 --batch_size 197 --hidden_size 6072 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c13,1216721,68_0,COMPLETED,BOTORCH_MODULAR,71.159999999999996589394868351519,250,0.002769435134296076642113071387,197,6072,0.599999999999999977795539507497,250,6,3,relu,1
69,1762277741,46,76313c10-831d-43e7-a4b8-38ab472d921f,1762277787,1762281469,3682,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00278127588409513016 --batch_size 173 --hidden_size 5181 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c32,1216713,69_0,COMPLETED,BOTORCH_MODULAR,67.870000000000004547473508864641,250,0.002781275884095130157547259842,173,5181,0.599999999999999977795539507497,250,6,3,relu,1
70,1762277742,165,76313c10-831d-43e7-a4b8-38ab472d921f,1762277907,1762281580,3673,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00274273838213952379 --batch_size 171 --hidden_size 4751 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c26,1216719,70_0,COMPLETED,BOTORCH_MODULAR,71.489999999999994884092302527279,250,0.0027427383821395237908924436,171,4751,0.599999999999999977795539507497,250,6,3,relu,1
71,1762277742,135,76313c10-831d-43e7-a4b8-38ab472d921f,1762277877,1762281533,3656,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00297182653627666707 --batch_size 175 --hidden_size 4773 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c81,1216716,71_0,COMPLETED,BOTORCH_MODULAR,70.590000000000003410605131648481,250,0.002971826536276667065500367571,175,4773,0.599999999999999977795539507497,250,6,3,relu,1
72,1762277742,105,76313c10-831d-43e7-a4b8-38ab472d921f,1762277847,1762281505,3658,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00258391057670379846 --batch_size 179 --hidden_size 5152 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c32,1216715,72_0,COMPLETED,BOTORCH_MODULAR,71.180000000000006821210263296962,250,0.002583910576703798457620653295,179,5152,0.599999999999999977795539507497,250,6,3,relu,1
73,1762277742,75,76313c10-831d-43e7-a4b8-38ab472d921f,1762277817,1762281650,3833,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00259443756012823481 --batch_size 171 --hidden_size 4742 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c116,1216714,73_0,COMPLETED,BOTORCH_MODULAR,71.14000000000000056843418860808,250,0.002594437560128234811912539826,171,4742,0.599999999999999977795539507497,250,6,3,relu,1
74,1762277742,255,76313c10-831d-43e7-a4b8-38ab472d921f,1762277997,1762281692,3695,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00275931330068154889 --batch_size 235 --hidden_size 5561 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c92,1216722,74_0,COMPLETED,BOTORCH_MODULAR,71.39000000000000056843418860808,250,0.002759313300681548886822413991,235,5561,0.599999999999999977795539507497,250,6,3,relu,1
75,1762277742,286,76313c10-831d-43e7-a4b8-38ab472d921f,1762278028,1762281716,3688,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00300000000000000006 --batch_size 172 --hidden_size 4773 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c124,1216723,75_0,COMPLETED,BOTORCH_MODULAR,71.07999999999999829469743417576,250,0.003000000000000000062450045135,172,4773,0.599999999999999977795539507497,250,6,3,relu,1
76,1762277743,316,76313c10-831d-43e7-a4b8-38ab472d921f,1762278059,1762281747,3688,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00287479875294232483 --batch_size 176 --hidden_size 4799 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c34,1216726,76_0,COMPLETED,BOTORCH_MODULAR,70.180000000000006821210263296962,250,0.002874798752942324831655129813,176,4799,0.599999999999999977795539507497,250,6,3,relu,1
77,1762277743,316,76313c10-831d-43e7-a4b8-38ab472d921f,1762278059,1762281553,3494,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 245 --learning_rate 0.00247795400528811336 --batch_size 204 --hidden_size 5374 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c131,1216725,77_0,COMPLETED,BOTORCH_MODULAR,71.340000000000003410605131648481,245,0.002477954005288113357302615114,204,5374,0.599999999999999977795539507497,250,6,3,relu,1
78,1762277743,316,76313c10-831d-43e7-a4b8-38ab472d921f,1762278059,1762281705,3646,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00280753466277447071 --batch_size 175 --hidden_size 5271 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c31,1216727,78_0,COMPLETED,BOTORCH_MODULAR,70.489999999999994884092302527279,250,0.002807534662774470706619878158,175,5271,0.599999999999999977795539507497,250,6,3,relu,1
79,1762277748,340,76313c10-831d-43e7-a4b8-38ab472d921f,1762278088,1762281797,3709,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00257009960887152672 --batch_size 177 --hidden_size 6351 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c51,1216728,79_0,COMPLETED,BOTORCH_MODULAR,71.5,250,0.002570099608871526716130651025,177,6351,0.599999999999999977795539507497,250,6,3,relu,1
80,1762281908,59,76313c10-831d-43e7-a4b8-38ab472d921f,1762281967,1762284828,2861,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 195 --learning_rate 0.0001 --batch_size 193 --hidden_size 7396 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c40,1216873,80_0,COMPLETED,BOTORCH_MODULAR,66.269999999999996020960679743439,195,0.000100000000000000004792173602,193,7396,0.599999999999999977795539507497,250,6,3,leaky_relu,1
81,1762281908,29,76313c10-831d-43e7-a4b8-38ab472d921f,1762281937,1762284924,2987,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 213 --learning_rate 0.0001 --batch_size 254 --hidden_size 5137 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c106,1216867,81_0,COMPLETED,BOTORCH_MODULAR,64.980000000000003979039320256561,213,0.000100000000000000004792173602,254,5137,0.599999999999999977795539507497,250,6,3,leaky_relu,1
82,1762281909,118,76313c10-831d-43e7-a4b8-38ab472d921f,1762282027,1762284624,2597,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 183 --learning_rate 0.0001 --batch_size 256 --hidden_size 3474 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c6,1216876,82_0,COMPLETED,BOTORCH_MODULAR,64.17000000000000170530256582424,183,0.000100000000000000004792173602,256,3474,0.599999999999999977795539507497,250,6,3,leaky_relu,1
83,1762281909,179,76313c10-831d-43e7-a4b8-38ab472d921f,1762282088,1762284749,2661,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 190 --learning_rate 0.0001 --batch_size 229 --hidden_size 6047 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c38,1216883,83_0,COMPLETED,BOTORCH_MODULAR,66.14000000000000056843418860808,190,0.000100000000000000004792173602,229,6047,0.599999999999999977795539507497,250,6,3,leaky_relu,1
84,1762281908,89,76313c10-831d-43e7-a4b8-38ab472d921f,1762281997,1762284811,2814,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 199 --learning_rate 0.0001 --batch_size 251 --hidden_size 4888 --dropout 0.5999999999999999778 --filter 248 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c79,1216874,84_0,COMPLETED,BOTORCH_MODULAR,64.819999999999993178789736703038,199,0.000100000000000000004792173602,251,4888,0.599999999999999977795539507497,248,6,3,leaky_relu,1
85,1762281909,184,76313c10-831d-43e7-a4b8-38ab472d921f,1762282093,1762284725,2632,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 192 --learning_rate 0.0001 --batch_size 256 --hidden_size 2060 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c38,1216882,85_0,COMPLETED,BOTORCH_MODULAR,63.42999999999999971578290569596,192,0.000100000000000000004792173602,256,2060,0.599999999999999977795539507497,250,6,3,leaky_relu,1
86,1762281908,29,76313c10-831d-43e7-a4b8-38ab472d921f,1762281937,1762284743,2806,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 196 --learning_rate 0.0001 --batch_size 220 --hidden_size 4737 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c93,1216869,86_0,COMPLETED,BOTORCH_MODULAR,65.900000000000005684341886080801,196,0.000100000000000000004792173602,220,4737,0.599999999999999977795539507497,250,6,3,leaky_relu,1
87,1762281908,151,76313c10-831d-43e7-a4b8-38ab472d921f,1762282059,1762284757,2698,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 193 --learning_rate 0.0001 --batch_size 238 --hidden_size 4109 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c69,1216877,87_0,COMPLETED,BOTORCH_MODULAR,64.629999999999995452526491135359,193,0.000100000000000000004792173602,238,4109,0.599999999999999977795539507497,250,6,3,leaky_relu,1
88,1762281909,196,76313c10-831d-43e7-a4b8-38ab472d921f,1762282105,1762284972,2867,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 195 --learning_rate 0.0001 --batch_size 184 --hidden_size 4393 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c76,1216880,88_0,COMPLETED,BOTORCH_MODULAR,66.150000000000005684341886080801,195,0.000100000000000000004792173602,184,4393,0.599999999999999977795539507497,250,6,3,leaky_relu,1
89,1762281909,58,76313c10-831d-43e7-a4b8-38ab472d921f,1762281967,1762284835,2868,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 201 --learning_rate 0.0001 --batch_size 224 --hidden_size 5769 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c114,1216872,89_0,COMPLETED,BOTORCH_MODULAR,65.57999999999999829469743417576,201,0.000100000000000000004792173602,224,5769,0.599999999999999977795539507497,250,6,3,leaky_relu,1
90,1762281909,194,76313c10-831d-43e7-a4b8-38ab472d921f,1762282103,1762284984,2881,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 205 --learning_rate 0.0001 --batch_size 256 --hidden_size 7912 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c76,1216879,90_0,COMPLETED,BOTORCH_MODULAR,65.870000000000004547473508864641,205,0.000100000000000000004792173602,256,7912,0.599999999999999977795539507497,250,6,3,leaky_relu,1
91,1762281909,88,76313c10-831d-43e7-a4b8-38ab472d921f,1762281997,1762284781,2784,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 192 --learning_rate 0.0001 --batch_size 208 --hidden_size 7211 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c36,1216875,91_0,COMPLETED,BOTORCH_MODULAR,66.129999999999995452526491135359,192,0.000100000000000000004792173602,208,7211,0.599999999999999977795539507497,250,6,3,leaky_relu,1
92,1762281908,29,76313c10-831d-43e7-a4b8-38ab472d921f,1762281937,1762284695,2758,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 195 --learning_rate 0.0001 --batch_size 251 --hidden_size 7546 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c95,1216868,92_0,COMPLETED,BOTORCH_MODULAR,65.78000000000000113686837721616,195,0.000100000000000000004792173602,251,7546,0.599999999999999977795539507497,250,6,3,leaky_relu,1
93,1762281909,28,76313c10-831d-43e7-a4b8-38ab472d921f,1762281937,1762284754,2817,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 195 --learning_rate 0.0001 --batch_size 245 --hidden_size 7620 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c34,1216870,93_0,COMPLETED,BOTORCH_MODULAR,65.620000000000004547473508864641,195,0.000100000000000000004792173602,245,7620,0.599999999999999977795539507497,250,6,3,leaky_relu,1
94,1762281909,28,76313c10-831d-43e7-a4b8-38ab472d921f,1762281937,1762284646,2709,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 192 --learning_rate 0.0001 --batch_size 256 --hidden_size 4625 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c27,1216871,94_0,COMPLETED,BOTORCH_MODULAR,64.569999999999993178789736703038,192,0.000100000000000000004792173602,256,4625,0.599999999999999977795539507497,250,6,3,leaky_relu,1
95,1762281909,184,76313c10-831d-43e7-a4b8-38ab472d921f,1762282093,1762284865,2772,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 192 --learning_rate 0.0001 --batch_size 199 --hidden_size 2237 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c76,1216881,95_0,COMPLETED,BOTORCH_MODULAR,65.409999999999996589394868351519,192,0.000100000000000000004792173602,199,2237,0.599999999999999977795539507497,250,6,3,leaky_relu,1
96,1762281910,196,76313c10-831d-43e7-a4b8-38ab472d921f,1762282106,1762284859,2753,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 193 --learning_rate 0.0001 --batch_size 238 --hidden_size 5768 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c76,1216878,96_0,COMPLETED,BOTORCH_MODULAR,65.629999999999995452526491135359,193,0.000100000000000000004792173602,238,5768,0.599999999999999977795539507497,250,6,3,leaky_relu,1
97,1762281915,203,76313c10-831d-43e7-a4b8-38ab472d921f,1762282118,1762284828,2710,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 194 --learning_rate 0.0001 --batch_size 256 --hidden_size 5965 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c71,1216885,97_0,COMPLETED,BOTORCH_MODULAR,65.299999999999997157829056959599,194,0.000100000000000000004792173602,256,5965,0.599999999999999977795539507497,250,6,3,leaky_relu,1
98,1762281915,233,76313c10-831d-43e7-a4b8-38ab472d921f,1762282148,1762284946,2798,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 193 --learning_rate 0.0001 --batch_size 228 --hidden_size 7987 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c145,1216884,98_0,COMPLETED,BOTORCH_MODULAR,65.769999999999996020960679743439,193,0.000100000000000000004792173602,228,7987,0.599999999999999977795539507497,250,6,3,leaky_relu,1
99,1762281928,220,76313c10-831d-43e7-a4b8-38ab472d921f,1762282148,1762284904,2756,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 194 --learning_rate 0.0001 --batch_size 256 --hidden_size 2950 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c78,1216886,99_0,COMPLETED,BOTORCH_MODULAR,63.939999999999997726263245567679,194,0.000100000000000000004792173602,256,2950,0.599999999999999977795539507497,250,6,3,leaky_relu,1
100,1762285115,283,76313c10-831d-43e7-a4b8-38ab472d921f,1762285398,1762288311,2913,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 203 --learning_rate 0.00252633188535940226 --batch_size 182 --hidden_size 6823 --dropout 0.32533340562664914142 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c124,1217003,100_0,COMPLETED,BOTORCH_MODULAR,70.739999999999994884092302527279,203,0.002526331885359402260743388879,182,6823,0.325333405626649141417772170826,250,6,4,leaky_relu,1
101,1762285115,12,76313c10-831d-43e7-a4b8-38ab472d921f,1762285127,1762287763,2636,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 182 --learning_rate 0.0025036002507991548 --batch_size 173 --hidden_size 6306 --dropout 0.20894883058809093912 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c27,1216991,101_0,COMPLETED,BOTORCH_MODULAR,68.480000000000003979039320256561,182,0.002503600250799154804115520534,173,6306,0.208948830588090939119894073883,250,6,4,leaky_relu,1
102,1762285115,193,76313c10-831d-43e7-a4b8-38ab472d921f,1762285308,1762288424,3116,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 211 --learning_rate 0.00245234178412788873 --batch_size 162 --hidden_size 965 --dropout 0.00671144315150506987 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c106,1217000,102_0,COMPLETED,BOTORCH_MODULAR,68.909999999999996589394868351519,211,0.002452341784127888731081856832,162,965,0.006711443151505069870665920462,250,6,4,leaky_relu,1
103,1762285115,72,76313c10-831d-43e7-a4b8-38ab472d921f,1762285187,1762288048,2861,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 205 --learning_rate 0.00269947696294534686 --batch_size 229 --hidden_size 7343 --dropout 0.27278385039392927247 --filter 227 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c122,1216993,103_0,COMPLETED,BOTORCH_MODULAR,70.53000000000000113686837721616,205,0.002699476962945346857070116897,229,7343,0.272783850393929272470927571703,227,6,4,leaky_relu,1
104,1762285115,132,76313c10-831d-43e7-a4b8-38ab472d921f,1762285247,1762289543,4296,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 245 --learning_rate 0.00174180984249062022 --batch_size 111 --hidden_size 4769 --dropout 0.2722386481005019121 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c27,1216998,104_0,COMPLETED,BOTORCH_MODULAR,71.599999999999994315658113919199,245,0.001741809842490620215127439252,111,4769,0.272238648100501912097115564393,250,5,4,leaky_relu,1
105,1762285115,72,76313c10-831d-43e7-a4b8-38ab472d921f,1762285187,1762287962,2775,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 194 --learning_rate 0.00259078579224057866 --batch_size 198 --hidden_size 6205 --dropout 0.23199737790597518838 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c125,1216992,105_0,COMPLETED,BOTORCH_MODULAR,70.85999999999999943156581139192,194,0.002590785792240578658263139289,198,6205,0.231997377905975188383536078618,250,6,4,leaky_relu,1
106,1762285116,102,76313c10-831d-43e7-a4b8-38ab472d921f,1762285218,1762289025,3807,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 234 --learning_rate 0.00111383407654403735 --batch_size 139 --hidden_size 5095 --dropout 0 --filter 249 --num_conv_layers 5 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c71,1216996,106_0,COMPLETED,BOTORCH_MODULAR,70.200000000000002842170943040401,234,0.001113834076544037345740667533,139,5095,0,249,5,3,relu,1
107,1762285115,313,76313c10-831d-43e7-a4b8-38ab472d921f,1762285428,1762290241,4813,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00142256419635084842 --batch_size 68 --hidden_size 6332 --dropout 0.2962612601502586096 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217004,107_0,COMPLETED,BOTORCH_MODULAR,71.659999999999996589394868351519,250,0.001422564196350848417585432948,68,6332,0.296261260150258609602502701819,250,5,4,leaky_relu,1
108,1762285115,193,76313c10-831d-43e7-a4b8-38ab472d921f,1762285308,1762288543,3235,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 220 --learning_rate 0.00244551748436850919 --batch_size 157 --hidden_size 5519 --dropout 0.19201568222371073746 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c115,1216999,108_0,COMPLETED,BOTORCH_MODULAR,70.590000000000003410605131648481,220,0.002445517484368509193715102157,157,5519,0.192015682223710737464017483944,250,6,4,leaky_relu,1
109,1762285116,101,76313c10-831d-43e7-a4b8-38ab472d921f,1762285217,1762288106,2889,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 193 --learning_rate 0.00240476545322826103 --batch_size 155 --hidden_size 7567 --dropout 0.25310333718890259957 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c113,1216995,109_0,COMPLETED,BOTORCH_MODULAR,70.82999999999999829469743417576,193,0.002404765453228261025409029372,155,7567,0.253103337188902599574902296808,250,6,4,leaky_relu,1
110,1762285116,71,76313c10-831d-43e7-a4b8-38ab472d921f,1762285187,1762288450,3263,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 233 --learning_rate 0.00259344661920438146 --batch_size 237 --hidden_size 5301 --dropout 0.29808351111248282406 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c50,1216994,110_0,COMPLETED,BOTORCH_MODULAR,70.760000000000005115907697472721,233,0.002593446619204381464740549745,237,5301,0.298083511112482824056968411242,250,6,4,leaky_relu,1
111,1762285116,192,76313c10-831d-43e7-a4b8-38ab472d921f,1762285308,1762289398,4090,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 245 --learning_rate 0.00086690572622743047 --batch_size 132 --hidden_size 5129 --dropout 0 --filter 250 --num_conv_layers 5 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c36,1217001,111_0,COMPLETED,BOTORCH_MODULAR,70.709999999999993747223925311118,245,0.000866905726227430468294743449,132,5129,0,250,5,3,relu,1
112,1762285116,131,76313c10-831d-43e7-a4b8-38ab472d921f,1762285247,1762288410,3163,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 219 --learning_rate 0.00245818614892682336 --batch_size 179 --hidden_size 7789 --dropout 0.28752560273658667178 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1216997,112_0,COMPLETED,BOTORCH_MODULAR,70.650000000000005684341886080801,219,0.002458186148926823355598259013,179,7789,0.287525602736586671781537916104,250,6,4,leaky_relu,1
113,1762285116,372,76313c10-831d-43e7-a4b8-38ab472d921f,1762285488,1762289570,4082,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00173644220622850057 --batch_size 118 --hidden_size 6122 --dropout 0.28150306163063942844 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c61,1217007,113_0,COMPLETED,BOTORCH_MODULAR,71.430000000000006821210263296962,250,0.001736442206228500572881556785,118,6122,0.281503061630639428436495563801,250,5,4,leaky_relu,1
114,1762285116,312,76313c10-831d-43e7-a4b8-38ab472d921f,1762285428,1762286445,1017,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 76 --learning_rate 0.00280371133545784202 --batch_size 248 --hidden_size 6576 --dropout 0.37541419426411531957 --filter 191 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c107,1217005,114_0,COMPLETED,BOTORCH_MODULAR,70.930000000000006821210263296962,76,0.00280371133545784202364958837,248,6576,0.375414194264115319565888739817,191,6,3,leaky_relu,1
115,1762285116,372,76313c10-831d-43e7-a4b8-38ab472d921f,1762285488,1762288499,3011,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 207 --learning_rate 0.00248897189305987256 --batch_size 178 --hidden_size 5490 --dropout 0.26274097748660074636 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c128,1217006,115_0,COMPLETED,BOTORCH_MODULAR,70.480000000000003979039320256561,207,0.002488971893059872559500478317,178,5490,0.262740977486600746360068114882,250,6,4,leaky_relu,1
116,1762285117,491,76313c10-831d-43e7-a4b8-38ab472d921f,1762285608,1762288951,3343,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 234 --learning_rate 0.00245148330915788632 --batch_size 197 --hidden_size 5766 --dropout 0.25279075135082773595 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c93,1217010,116_0,COMPLETED,BOTORCH_MODULAR,70.769999999999996020960679743439,234,0.002451483309157886317924956998,197,5766,0.252790751350827735954851505085,250,6,4,leaky_relu,1
117,1762285117,251,76313c10-831d-43e7-a4b8-38ab472d921f,1762285368,1762288237,2869,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 197 --learning_rate 0.00246852295068857247 --batch_size 173 --hidden_size 6123 --dropout 0.21875379697595609407 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c79,1217002,117_0,COMPLETED,BOTORCH_MODULAR,68.480000000000003979039320256561,197,0.002468522950688572473870729951,173,6123,0.218753796975956094073012536683,250,6,4,leaky_relu,1
118,1762285118,370,76313c10-831d-43e7-a4b8-38ab472d921f,1762285488,1762288506,3018,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 202 --learning_rate 0.00249165034063728681 --batch_size 177 --hidden_size 6744 --dropout 0.31895828438863016441 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c39,1217008,118_0,COMPLETED,BOTORCH_MODULAR,71.03000000000000113686837721616,202,0.002491650340637286808326278376,177,6744,0.318958284388630164407629763446,250,6,4,leaky_relu,1
119,1762285122,486,76313c10-831d-43e7-a4b8-38ab472d921f,1762285608,1762289075,3467,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 238 --learning_rate 0.0024513119251069488 --batch_size 172 --hidden_size 5070 --dropout 0.19780675242045689388 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c82,1217011,119_0,COMPLETED,BOTORCH_MODULAR,71.209999999999993747223925311118,238,0.002451311925106948799713002529,172,5070,0.197806752420456893881706150751,250,6,4,leaky_relu,1
120,1762290375,107,76313c10-831d-43e7-a4b8-38ab472d921f,1762290482,1762293975,3493,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00213881767773516866 --batch_size 208 --hidden_size 5340 --dropout 0.2483502519567639677 --filter 225 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c32,1217214,120_0,COMPLETED,BOTORCH_MODULAR,71.319999999999993178789736703038,250,0.002138817677735168655550612726,208,5340,0.248350251956763967697838779713,225,6,3,relu,1
121,1762290376,260,76313c10-831d-43e7-a4b8-38ab472d921f,1762290636,1762293974,3338,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 232 --learning_rate 0.00229674614482414325 --batch_size 208 --hidden_size 7488 --dropout 0.31778750918087128596 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c127,1217225,121_0,COMPLETED,BOTORCH_MODULAR,71.239999999999994884092302527279,232,0.002296746144824143246593317613,208,7488,0.317787509180871285963121408713,250,6,3,relu,1
122,1762290376,290,76313c10-831d-43e7-a4b8-38ab472d921f,1762290666,1762295666,5000,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 247 --learning_rate 0.00139880808025239162 --batch_size 36 --hidden_size 7696 --dropout 0.42129685353513163237 --filter 220 --num_conv_layers 6 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c70,1217230,122_0,COMPLETED,BOTORCH_MODULAR,70.950000000000002842170943040401,247,0.001398808080252391620318386245,36,7696,0.421296853535131632373378351986,220,6,4,relu,1
123,1762290375,104,76313c10-831d-43e7-a4b8-38ab472d921f,1762290479,1762293894,3415,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 239 --learning_rate 0.00230048632626267836 --batch_size 209 --hidden_size 5917 --dropout 0.22989921612776539894 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c32,1217213,123_0,COMPLETED,BOTORCH_MODULAR,72.35999999999999943156581139192,239,0.00230048632626267835626920899,209,5917,0.229899216127765398942628394252,250,6,3,relu,1
124,1762290376,261,76313c10-831d-43e7-a4b8-38ab472d921f,1762290637,1762294150,3513,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 241 --learning_rate 0.00230277328208563841 --batch_size 203 --hidden_size 7391 --dropout 0.32013943549771639585 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c86,1217227,124_0,COMPLETED,BOTORCH_MODULAR,71.03000000000000113686837721616,241,0.002302773282085638414246053784,203,7391,0.320139435497716395850886783592,250,6,3,relu,1
125,1762290375,106,76313c10-831d-43e7-a4b8-38ab472d921f,1762290481,1762293932,3451,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 243 --learning_rate 0.00228236199822632419 --batch_size 204 --hidden_size 6389 --dropout 0.20332915697909687003 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c32,1217215,125_0,COMPLETED,BOTORCH_MODULAR,71.46999999999999886313162278384,243,0.002282361998226324194954939273,204,6389,0.203329156979096870028200783054,250,6,3,relu,1
126,1762290375,93,76313c10-831d-43e7-a4b8-38ab472d921f,1762290468,1762293900,3432,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 239 --learning_rate 0.00231502772325133891 --batch_size 205 --hidden_size 5942 --dropout 0.19588276587318889654 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c32,1217216,126_0,COMPLETED,BOTORCH_MODULAR,70.900000000000005684341886080801,239,0.002315027723251338910570584773,205,5942,0.195882765873188896543766190916,250,6,3,relu,1
127,1762290375,171,76313c10-831d-43e7-a4b8-38ab472d921f,1762290546,1762293580,3034,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 217 --learning_rate 0.00234710129901059741 --batch_size 236 --hidden_size 5500 --dropout 0.25338939397796977904 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c79,1217219,127_0,COMPLETED,BOTORCH_MODULAR,71.010000000000005115907697472721,217,0.002347101299010597406924372166,236,5500,0.253389393977969779037096031971,250,6,3,relu,1
128,1762290376,230,76313c10-831d-43e7-a4b8-38ab472d921f,1762290606,1762293870,3264,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 236 --learning_rate 0.00253587290576530585 --batch_size 242 --hidden_size 1923 --dropout 0.16318433140282403992 --filter 241 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c124,1217222,128_0,COMPLETED,BOTORCH_MODULAR,71.120000000000004547473508864641,236,0.002535872905765305853481583753,242,1923,0.16318433140282403992493698297,241,6,3,relu,1
129,1762290375,261,76313c10-831d-43e7-a4b8-38ab472d921f,1762290636,1762293582,2946,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 210 --learning_rate 0.00256723966236731662 --batch_size 238 --hidden_size 3640 --dropout 0.31107171428693197734 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c134,1217224,129_0,COMPLETED,BOTORCH_MODULAR,71.67000000000000170530256582424,210,0.00256723966236731661674785876,238,3640,0.311071714286931977344607958003,250,6,3,relu,1
130,1762290375,81,76313c10-831d-43e7-a4b8-38ab472d921f,1762290456,1762293796,3340,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 234 --learning_rate 0.00241674768781876539 --batch_size 210 --hidden_size 5913 --dropout 0.31773365438025508167 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c30,1217217,130_0,COMPLETED,BOTORCH_MODULAR,71.450000000000002842170943040401,234,0.002416747687818765390893593903,210,5913,0.317733654380255081672856931618,250,6,3,relu,1
131,1762290376,200,76313c10-831d-43e7-a4b8-38ab472d921f,1762290576,1762293755,3179,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 218 --learning_rate 0.00250171038093964558 --batch_size 230 --hidden_size 7693 --dropout 0.351217560904499293 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c139,1217221,131_0,COMPLETED,BOTORCH_MODULAR,71.599999999999994315658113919199,218,0.00250171038093964558449155966,230,7693,0.351217560904499292995240011805,250,6,3,relu,1
132,1762290375,172,76313c10-831d-43e7-a4b8-38ab472d921f,1762290547,1762293875,3328,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 235 --learning_rate 0.00242021504571771334 --batch_size 209 --hidden_size 7256 --dropout 0.32128616931282560909 --filter 225 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c128,1217218,132_0,COMPLETED,BOTORCH_MODULAR,71.439999999999997726263245567679,235,0.002420215045717713335526877216,209,7256,0.321286169312825609090111811383,225,6,3,relu,1
133,1762290377,259,76313c10-831d-43e7-a4b8-38ab472d921f,1762290636,1762293704,3068,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 220 --learning_rate 0.00274947456711522546 --batch_size 256 --hidden_size 7522 --dropout 0.37547233875785607227 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c122,1217226,133_0,COMPLETED,BOTORCH_MODULAR,72.319999999999993178789736703038,220,0.002749474567115225455415927769,256,7522,0.375472338757856072266605451659,250,6,3,leaky_relu,1
134,1762290376,170,76313c10-831d-43e7-a4b8-38ab472d921f,1762290546,1762294131,3585,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00220976706576852958 --batch_size 182 --hidden_size 3476 --dropout 0.17228546954055742879 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c38,1217220,134_0,COMPLETED,BOTORCH_MODULAR,70.989999999999994884092302527279,250,0.002209767065768529579333767643,182,3476,0.17228546954055742879141632784,250,6,3,relu,1
135,1762290376,230,76313c10-831d-43e7-a4b8-38ab472d921f,1762290606,1762293838,3232,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 226 --learning_rate 0.00234900982592286221 --batch_size 215 --hidden_size 6665 --dropout 0.20435715339921659006 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c90,1217223,135_0,COMPLETED,BOTORCH_MODULAR,71.709999999999993747223925311118,226,0.002349009825922862212954633776,215,6665,0.204357153399216590061726606109,250,6,3,relu,1
136,1762290378,289,76313c10-831d-43e7-a4b8-38ab472d921f,1762290667,1762294013,3346,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 236 --learning_rate 0.00235852127584249309 --batch_size 212 --hidden_size 7474 --dropout 0.31850586360081944992 --filter 239 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c90,1217228,136_0,COMPLETED,BOTORCH_MODULAR,71.489999999999994884092302527279,236,0.002358521275842493086088991205,212,7474,0.318505863600819449921175419149,239,6,3,relu,1
137,1762290378,289,76313c10-831d-43e7-a4b8-38ab472d921f,1762290667,1762293402,2735,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 202 --learning_rate 0.00260824207071144298 --batch_size 250 --hidden_size 5989 --dropout 0.33039924013172372597 --filter 221 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c86,1217229,137_0,COMPLETED,BOTORCH_MODULAR,70.67000000000000170530256582424,202,0.002608242070711442976704841357,250,5989,0.330399240131723725966139681987,221,6,3,relu,1
138,1762290378,319,76313c10-831d-43e7-a4b8-38ab472d921f,1762290697,1762293676,2979,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 225 --learning_rate 0.00248834525742024169 --batch_size 240 --hidden_size 6800 --dropout 0.24593680302140882854 --filter 177 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c111,1217231,138_0,COMPLETED,BOTORCH_MODULAR,70.28000000000000113686837721616,225,0.00248834525742024168654120686,240,6800,0.245936803021408828540117497141,177,6,3,relu,1
139,1762290382,314,76313c10-831d-43e7-a4b8-38ab472d921f,1762290696,1762293311,2615,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 181 --learning_rate 0.00258125944315224995 --batch_size 239 --hidden_size 5591 --dropout 0.22399161163673711461 --filter 247 --num_conv_layers 6 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c36,1217232,139_0,COMPLETED,BOTORCH_MODULAR,71.450000000000002842170943040401,181,0.002581259443152249949404719587,239,5591,0.223991611636737114610085086497,247,6,3,relu,1
140,1762295832,240,76313c10-831d-43e7-a4b8-38ab472d921f,1762296072,1762296976,904,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 68 --learning_rate 0.00261829091462858002 --batch_size 224 --hidden_size 5918 --dropout 0.43900289356786631467 --filter 155 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c124,1217334,140_0,COMPLETED,BOTORCH_MODULAR,70.769999999999996020960679743439,68,0.002618290914628580018375103577,224,5918,0.439002893567866314672443195377,155,6,2,leaky_relu,1
141,1762295832,331,76313c10-831d-43e7-a4b8-38ab472d921f,1762296163,1762297507,1344,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 90 --learning_rate 0.0025104354502581065 --batch_size 229 --hidden_size 6226 --dropout 0.30624303974343713985 --filter 248 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c27,1217336,141_0,COMPLETED,BOTORCH_MODULAR,71.64000000000000056843418860808,90,0.002510435450258106503812483012,229,6226,0.306243039743437139854620454571,248,6,2,leaky_relu,1
142,1762295833,239,76313c10-831d-43e7-a4b8-38ab472d921f,1762296072,1762297729,1657,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.00241703301964618558 --batch_size 201 --hidden_size 7046 --dropout 0.29191880610504322702 --filter 226 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217333,142_0,COMPLETED,BOTORCH_MODULAR,71.959999999999993747223925311118,112,0.002417033019646185575124430756,201,7046,0.291918806105043227017148410596,226,6,2,leaky_relu,1
143,1762295832,30,76313c10-831d-43e7-a4b8-38ab472d921f,1762295862,1762297835,1973,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 139 --learning_rate 0.00243530432959450198 --batch_size 229 --hidden_size 7041 --dropout 0.24854098007715411112 --filter 240 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c113,1217322,143_0,COMPLETED,BOTORCH_MODULAR,71.459999999999993747223925311118,139,0.002435304329594501979161513816,229,7041,0.248540980077154111116399803905,240,6,2,leaky_relu,1
144,1762295833,269,76313c10-831d-43e7-a4b8-38ab472d921f,1762296102,1762297715,1613,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 114 --learning_rate 0.00263570628335265192 --batch_size 240 --hidden_size 1880 --dropout 0.33674252728536191448 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c46,1217335,144_0,COMPLETED,BOTORCH_MODULAR,72.32999999999999829469743417576,114,0.002635706283352651918550080268,240,1880,0.336742527285361914479722145188,250,6,2,leaky_relu,1
145,1762295832,90,76313c10-831d-43e7-a4b8-38ab472d921f,1762295922,1762297702,1780,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 135 --learning_rate 0.00257991654325291121 --batch_size 255 --hidden_size 3187 --dropout 0.37685010750087821751 --filter 185 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217327,145_0,COMPLETED,BOTORCH_MODULAR,70,135,0.002579916543252911212413813757,255,3187,0.376850107500878217514639345609,185,6,2,leaky_relu,1
146,1762295832,30,76313c10-831d-43e7-a4b8-38ab472d921f,1762295862,1762299379,3517,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 243 --learning_rate 0.00233663906239069043 --batch_size 203 --hidden_size 7589 --dropout 0.59996440512729021233 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c129,1217321,146_0,COMPLETED,BOTORCH_MODULAR,71.25,243,0.002336639062390690434189988167,203,7589,0.59996440512729021232729564872,250,6,3,leaky_relu,1
147,1762295833,59,76313c10-831d-43e7-a4b8-38ab472d921f,1762295892,1762296834,942,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00261468090299846797 --batch_size 226 --hidden_size 4739 --dropout 0.42851450697998688666 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c71,1217326,147_0,COMPLETED,BOTORCH_MODULAR,71.959999999999993747223925311118,65,0.002614680902998467969255980137,226,4739,0.428514506979986886658906541925,250,6,2,leaky_relu,1
148,1762295832,120,76313c10-831d-43e7-a4b8-38ab472d921f,1762295952,1762297518,1566,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00264813114507713885 --batch_size 251 --hidden_size 1729 --dropout 0.28419632328956762057 --filter 235 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c78,1217330,148_0,COMPLETED,BOTORCH_MODULAR,71.620000000000004547473508864641,107,0.002648131145077138853122233897,251,1729,0.284196323289567620573592421351,235,6,2,leaky_relu,1
149,1762295832,30,76313c10-831d-43e7-a4b8-38ab472d921f,1762295862,1762297622,1760,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 125 --learning_rate 0.00242597717199630756 --batch_size 221 --hidden_size 6881 --dropout 0.28746243842280094771 --filter 209 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c87,1217323,149_0,COMPLETED,BOTORCH_MODULAR,71.659999999999996589394868351519,125,0.002425977171996307555495997477,221,6881,0.287462438422800947712687502644,209,6,2,leaky_relu,1
150,1762295833,209,76313c10-831d-43e7-a4b8-38ab472d921f,1762296042,1762297195,1153,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00270675915589875049 --batch_size 231 --hidden_size 760 --dropout 0.33151984791946220721 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c140,1217332,150_0,COMPLETED,BOTORCH_MODULAR,71.090000000000003410605131648481,82,0.002706759155898750494190219129,231,760,0.331519847919462207208596282726,250,6,2,leaky_relu,1
151,1762295833,29,76313c10-831d-43e7-a4b8-38ab472d921f,1762295862,1762296595,733,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 50 --learning_rate 0.00260087604296355959 --batch_size 256 --hidden_size 4622 --dropout 0.37683595201630948335 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c46,1217324,151_0,COMPLETED,BOTORCH_MODULAR,71.540000000000006252776074688882,50,0.002600876042963559588855337878,256,4622,0.376835952016309483347811237763,250,6,2,leaky_relu,1
152,1762295832,60,76313c10-831d-43e7-a4b8-38ab472d921f,1762295892,1762296618,726,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 50 --learning_rate 0.00246640400593507725 --batch_size 221 --hidden_size 508 --dropout 0.13000564668180777939 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 2 --num_dense_layers 1 --dense_activation relu,0,,c133,1217325,152_0,COMPLETED,BOTORCH_MODULAR,69.319999999999993178789736703038,50,0.002466404005935077248246045656,221,508,0.130005646681807779385664503025,250,6,2,relu,1
153,1762295833,181,76313c10-831d-43e7-a4b8-38ab472d921f,1762296014,1762296999,985,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.0025237925945257025 --batch_size 229 --hidden_size 7972 --dropout 0.40025271545719193211 --filter 203 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c88,1217331,153_0,COMPLETED,BOTORCH_MODULAR,71.590000000000003410605131648481,70,0.002523792594525702502605835065,229,7972,0.400252715457191932113545362881,203,6,2,leaky_relu,1
154,1762295833,119,76313c10-831d-43e7-a4b8-38ab472d921f,1762295952,1762297144,1192,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 80 --learning_rate 0.00250743733621610785 --batch_size 229 --hidden_size 6704 --dropout 0.35325107288661472538 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c122,1217328,154_0,COMPLETED,BOTORCH_MODULAR,71.370000000000004547473508864641,80,0.00250743733621610785308742031,229,6704,0.353251072886614725376830392634,250,6,2,leaky_relu,1
155,1762295833,120,76313c10-831d-43e7-a4b8-38ab472d921f,1762295953,1762296685,732,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 50 --learning_rate 0.00258935661077671362 --batch_size 227 --hidden_size 3504 --dropout 0.31456925817431780068 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c82,1217329,155_0,COMPLETED,BOTORCH_MODULAR,70.790000000000006252776074688882,50,0.002589356610776713616545174901,227,3504,0.314569258174317800680341861153,250,6,2,leaky_relu,1
156,1762295834,359,76313c10-831d-43e7-a4b8-38ab472d921f,1762296193,1762298668,2475,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 172 --learning_rate 0.00258132297159212971 --batch_size 215 --hidden_size 1809 --dropout 0.25132659179100080848 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c112,1217337,156_0,COMPLETED,BOTORCH_MODULAR,71.560000000000002273736754432321,172,0.002581322971592129710688423572,215,1809,0.251326591791000808484568551648,250,6,2,leaky_relu,1
157,1762295840,383,76313c10-831d-43e7-a4b8-38ab472d921f,1762296223,1762297032,809,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 53 --learning_rate 0.0025249149270602394 --batch_size 226 --hidden_size 6422 --dropout 0.32128795872949861279 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c129,1217339,157_0,COMPLETED,BOTORCH_MODULAR,70.989999999999994884092302527279,53,0.002524914927060239403650010459,226,6422,0.32128795872949861278655703245,250,6,2,leaky_relu,1
158,1762295840,353,76313c10-831d-43e7-a4b8-38ab472d921f,1762296193,1762297150,957,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.00262488294605306254 --batch_size 221 --hidden_size 4167 --dropout 0.37898154017913793234 --filter 192 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c41,1217338,158_0,COMPLETED,BOTORCH_MODULAR,71.42000000000000170530256582424,71,0.002624882946053062535152200496,221,4167,0.378981540179137932344843875399,192,6,2,leaky_relu,1
159,1762295840,383,76313c10-831d-43e7-a4b8-38ab472d921f,1762296223,1762297516,1293,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 88 --learning_rate 0.00244582830050714883 --batch_size 232 --hidden_size 4522 --dropout 0.1741149530804144141 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c76,1217340,159_0,COMPLETED,BOTORCH_MODULAR,72.730000000000003979039320256561,88,0.002445828300507148830161829878,232,4522,0.174114953080414414099408304537,250,6,2,leaky_relu,1
160,1762299569,377,76313c10-831d-43e7-a4b8-38ab472d921f,1762299946,1762301961,2015,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 135 --learning_rate 0.00258438961214479219 --batch_size 234 --hidden_size 3739 --dropout 0.48812701597361679573 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c147,1217452,160_0,COMPLETED,BOTORCH_MODULAR,72.659999999999996589394868351519,135,0.002584389612144792191389397473,234,3739,0.488127015973616795729839168416,250,4,3,leaky_relu,1
161,,,,,,,,,,,,161_0,FAILED,BOTORCH_MODULAR,,168,0.002428855608622083016301385072,235,7123,0.344694964031410866489579802874,250,4,3,leaky_relu,1
162,1762299569,196,76313c10-831d-43e7-a4b8-38ab472d921f,1762299765,1762302511,2746,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 184 --learning_rate 0.00256233193651783089 --batch_size 255 --hidden_size 7364 --dropout 0.51315118284429483975 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c119,1217449,162_0,COMPLETED,BOTORCH_MODULAR,69.980000000000003979039320256561,184,0.002562331936517830890259750376,255,7364,0.513151182844294839746623893006,250,4,3,leaky_relu,1
163,1762299569,347,76313c10-831d-43e7-a4b8-38ab472d921f,1762299916,1762302586,2670,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 181 --learning_rate 0.00257033401352070503 --batch_size 248 --hidden_size 6322 --dropout 0.53678187691773138202 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c122,1217453,163_0,COMPLETED,BOTORCH_MODULAR,72,181,0.002570334013520705028488233523,248,6322,0.53678187691773138201511983425,250,4,3,leaky_relu,1
164,1762299569,105,76313c10-831d-43e7-a4b8-38ab472d921f,1762299674,1762302373,2699,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 181 --learning_rate 0.00259329819049636343 --batch_size 251 --hidden_size 5787 --dropout 0.53491493028303394031 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c143,1217445,164_0,COMPLETED,BOTORCH_MODULAR,71.92000000000000170530256582424,181,0.002593298190496363432588911024,251,5787,0.534914930283033940305870146403,250,4,3,leaky_relu,1
165,1762299570,165,76313c10-831d-43e7-a4b8-38ab472d921f,1762299735,1762302373,2638,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 174 --learning_rate 0.00243030741232593385 --batch_size 230 --hidden_size 6286 --dropout 0.48522203142156167255 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c38,1217447,165_0,COMPLETED,BOTORCH_MODULAR,72.14000000000000056843418860808,174,0.002430307412325933853064485746,230,6286,0.485222031421561672548392607496,250,4,3,leaky_relu,1
166,1762299569,105,76313c10-831d-43e7-a4b8-38ab472d921f,1762299674,1762302721,3047,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 195 --learning_rate 0.00233171527455091569 --batch_size 213 --hidden_size 7539 --dropout 0.43073615087440048077 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c118,1217446,166_0,COMPLETED,BOTORCH_MODULAR,71.980000000000003979039320256561,195,0.002331715274550915685536356392,213,7539,0.430736150874400480770276544717,250,4,3,leaky_relu,1
167,1762299570,345,76313c10-831d-43e7-a4b8-38ab472d921f,1762299915,1762302585,2670,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 173 --learning_rate 0.00239311331736705548 --batch_size 217 --hidden_size 6911 --dropout 0.45757862359092577043 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c26,1217454,167_0,COMPLETED,BOTORCH_MODULAR,72.060000000000002273736754432321,173,0.002393113317367055476597714758,217,6911,0.457578623590925770425741347935,250,4,3,leaky_relu,1
168,1762299570,285,76313c10-831d-43e7-a4b8-38ab472d921f,1762299855,1762302492,2637,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 182 --learning_rate 0.00243347111615134937 --batch_size 245 --hidden_size 4643 --dropout 0.37226528487338694795 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c148,1217451,168_0,COMPLETED,BOTORCH_MODULAR,71.10999999999999943156581139192,182,0.002433471116151349374068235676,245,4643,0.372265284873386947950280045916,250,4,3,leaky_relu,1
169,1762299569,467,76313c10-831d-43e7-a4b8-38ab472d921f,1762300036,1762303093,3057,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 202 --learning_rate 0.0022937725156132252 --batch_size 206 --hidden_size 6321 --dropout 0.43616282910651077431 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c127,1217456,169_0,COMPLETED,BOTORCH_MODULAR,72.519999999999996020960679743439,202,0.002293772515613225204678116143,206,6321,0.436162829106510774312965850186,250,4,3,leaky_relu,1
170,1762299570,165,76313c10-831d-43e7-a4b8-38ab472d921f,1762299735,1762302272,2537,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 180 --learning_rate 0.00253456304844703901 --batch_size 230 --hidden_size 3023 --dropout 0.49786417876011646033 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c13,1217448,170_0,COMPLETED,BOTORCH_MODULAR,72.180000000000006821210263296962,180,0.002534563048447039008970183005,230,3023,0.497864178760116460331630605651,250,4,3,leaky_relu,1
171,1762299571,225,76313c10-831d-43e7-a4b8-38ab472d921f,1762299796,1762302242,2446,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 167 --learning_rate 0.00241798776847301257 --batch_size 210 --hidden_size 3742 --dropout 0.50235695061449414656 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c44,1217450,171_0,COMPLETED,BOTORCH_MODULAR,71.85999999999999943156581139192,167,0.002417987768473012569203639544,210,3742,0.502356950614494146556410214544,250,4,3,leaky_relu,1
172,1762299571,466,76313c10-831d-43e7-a4b8-38ab472d921f,1762300037,1762302821,2784,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 191 --learning_rate 0.00246134319688022692 --batch_size 226 --hidden_size 4771 --dropout 0.47609391008883483742 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c43,1217457,172_0,COMPLETED,BOTORCH_MODULAR,71.89000000000000056843418860808,191,0.00246134319688022691619000426,226,4771,0.476093910088834837424087709223,250,4,3,leaky_relu,1
173,1762299569,437,76313c10-831d-43e7-a4b8-38ab472d921f,1762300006,1762303096,3090,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 190 --learning_rate 0.00160358178822496509 --batch_size 137 --hidden_size 7558 --dropout 0.59998767376301354037 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c44,1217455,173_0,COMPLETED,BOTORCH_MODULAR,71.299999999999997157829056959599,190,0.001603581788224965089251217165,137,7558,0.599987673763013540373378873483,250,4,4,relu,1
174,1762299571,495,76313c10-831d-43e7-a4b8-38ab472d921f,1762300066,1762303198,3132,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 203 --learning_rate 0.00232261397091402047 --batch_size 208 --hidden_size 6915 --dropout 0.45183420639951682451 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c106,1217459,174_0,COMPLETED,BOTORCH_MODULAR,71.959999999999993747223925311118,203,0.002322613970914020470326377676,208,6915,0.451834206399516824514961399473,250,4,3,leaky_relu,1
175,1762299571,495,76313c10-831d-43e7-a4b8-38ab472d921f,1762300066,1762303642,3576,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 242 --learning_rate 0.00165290227876129631 --batch_size 156 --hidden_size 7267 --dropout 0.41282333802539000756 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c133,1217458,175_0,COMPLETED,BOTORCH_MODULAR,70.760000000000005115907697472721,242,0.001652902278761296311557216221,156,7267,0.412823338025390007555159854746,250,6,4,relu,1
176,1762299573,703,76313c10-831d-43e7-a4b8-38ab472d921f,1762300276,1762302799,2523,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 173 --learning_rate 0.00251726113777062067 --batch_size 252 --hidden_size 6667 --dropout 0.45601485567881472338 --filter 245 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c42,1217462,176_0,COMPLETED,BOTORCH_MODULAR,71.870000000000004547473508864641,173,0.002517261137770620670756072101,252,6667,0.456014855678814723383140972146,245,4,3,leaky_relu,1
177,1762299573,493,76313c10-831d-43e7-a4b8-38ab472d921f,1762300066,1762303792,3726,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 242 --learning_rate 0.00159823784025982176 --batch_size 119 --hidden_size 3664 --dropout 0.59722145133850068621 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c41,1217461,177_0,COMPLETED,BOTORCH_MODULAR,70.71999999999999886313162278384,242,0.001598237840259821756008773441,119,3664,0.597221451338500686212285017973,250,6,4,relu,1
178,1762299573,493,76313c10-831d-43e7-a4b8-38ab472d921f,1762300066,1762303453,3387,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 229 --learning_rate 0.00177244603541014813 --batch_size 164 --hidden_size 7364 --dropout 0.59798119782119263377 --filter 250 --num_conv_layers 6 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c71,1217460,178_0,COMPLETED,BOTORCH_MODULAR,70.930000000000006821210263296962,229,0.001772446035410148125130436192,164,7364,0.597981197821192633767850566073,250,6,4,relu,1
179,1762299576,730,76313c10-831d-43e7-a4b8-38ab472d921f,1762300306,1762303383,3077,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 205 --learning_rate 0.00233017763589473065 --batch_size 210 --hidden_size 5160 --dropout 0.42005449289747581743 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c95,1217464,179_0,COMPLETED,BOTORCH_MODULAR,70.439999999999997726263245567679,205,0.002330177635894730651250350562,210,5160,0.420054492897475817425601007926,250,4,3,leaky_relu,1
180,1762307239,24,76313c10-831d-43e7-a4b8-38ab472d921f,1762307263,1762309296,2033,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 143 --learning_rate 0.00255839587548603066 --batch_size 220 --hidden_size 5220 --dropout 0.59713956087902342329 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c88,1217549,180_0,COMPLETED,BOTORCH_MODULAR,72.10999999999999943156581139192,143,0.002558395875486030660028724526,220,5220,0.59713956087902342328987970177,250,6,3,leaky_relu,1
181,1762307238,25,76313c10-831d-43e7-a4b8-38ab472d921f,1762307263,1762309218,1955,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 138 --learning_rate 0.00244169298018223754 --batch_size 210 --hidden_size 6240 --dropout 0.46900339779195937551 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c127,1217546,181_0,COMPLETED,BOTORCH_MODULAR,71.849999999999994315658113919199,138,0.00244169298018223753996003289,210,6240,0.469003397791959375506820606461,250,6,3,leaky_relu,1
182,1762307238,23,76313c10-831d-43e7-a4b8-38ab472d921f,1762307261,1762309704,2443,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 169 --learning_rate 0.0024205722443302745 --batch_size 209 --hidden_size 5751 --dropout 0.48068638679514807954 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c113,1217548,182_0,COMPLETED,BOTORCH_MODULAR,72.560000000000002273736754432321,169,0.00242057224433027450352651222,209,5751,0.480686386795148079542627783667,250,6,3,leaky_relu,1
183,1762307239,52,76313c10-831d-43e7-a4b8-38ab472d921f,1762307291,1762309746,2455,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 174 --learning_rate 0.00261431827581287387 --batch_size 221 --hidden_size 1129 --dropout 0.57669123210925887779 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c38,1217556,183_0,COMPLETED,BOTORCH_MODULAR,71.790000000000006252776074688882,174,0.002614318275812873865887597802,221,1129,0.576691232109258877791546638036,250,6,3,leaky_relu,1
184,1762307239,27,76313c10-831d-43e7-a4b8-38ab472d921f,1762307266,1762310264,2998,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 208 --learning_rate 0.00217216849381496758 --batch_size 189 --hidden_size 6515 --dropout 0.32154115184440640318 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c68,1217550,184_0,COMPLETED,BOTORCH_MODULAR,72.370000000000004547473508864641,208,0.002172168493814967578370289658,189,6515,0.321541151844406403181864106955,250,6,3,leaky_relu,1
185,1762307238,24,76313c10-831d-43e7-a4b8-38ab472d921f,1762307262,1762309573,2311,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 159 --learning_rate 0.00229351378830906392 --batch_size 200 --hidden_size 7897 --dropout 0.37651632400878043416 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c127,1217545,185_0,COMPLETED,BOTORCH_MODULAR,72.409999999999996589394868351519,159,0.002293513788309063921450059453,200,7897,0.376516324008780434162702022149,250,6,3,leaky_relu,1
186,1762307239,82,76313c10-831d-43e7-a4b8-38ab472d921f,1762307321,1762309812,2491,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 182 --learning_rate 0.00260856136440464244 --batch_size 229 --hidden_size 2803 --dropout 0.53367992856855250849 --filter 232 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c113,1217557,186_0,COMPLETED,BOTORCH_MODULAR,71.439999999999997726263245567679,182,0.00260856136440464243808623479,229,2803,0.533679928568552508494349240209,232,6,3,leaky_relu,1
187,1762307238,24,76313c10-831d-43e7-a4b8-38ab472d921f,1762307262,1762310070,2808,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 192 --learning_rate 0.00232064588693769221 --batch_size 205 --hidden_size 5848 --dropout 0.39143761673252813749 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c127,1217547,187_0,COMPLETED,BOTORCH_MODULAR,72.239999999999994884092302527279,192,0.002320645886937692213558559473,205,5848,0.391437616732528137486468722273,250,6,3,leaky_relu,1
188,1762307239,83,76313c10-831d-43e7-a4b8-38ab472d921f,1762307322,1762309528,2206,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 153 --learning_rate 0.00260139279809956875 --batch_size 230 --hidden_size 4519 --dropout 0.58488097133961858276 --filter 242 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c13,1217559,188_0,COMPLETED,BOTORCH_MODULAR,71.92000000000000170530256582424,153,0.002601392798099568751807320055,230,4519,0.584880971339618582760522258468,242,6,3,leaky_relu,1
189,1762307239,60,76313c10-831d-43e7-a4b8-38ab472d921f,1762307299,1762309962,2663,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 187 --learning_rate 0.00245591355604740614 --batch_size 215 --hidden_size 3395 --dropout 0.4834924807970478744 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c44,1217554,189_0,COMPLETED,BOTORCH_MODULAR,71.85999999999999943156581139192,187,0.002455913556047406142573974464,215,3395,0.483492480797047874396810129838,250,6,3,leaky_relu,1
190,1762307239,82,76313c10-831d-43e7-a4b8-38ab472d921f,1762307321,1762310022,2701,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 182 --learning_rate 0.00243008613391161024 --batch_size 201 --hidden_size 3064 --dropout 0.5091660544133662647 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c60,1217558,190_0,COMPLETED,BOTORCH_MODULAR,71.879999999999995452526491135359,182,0.002430086133911610237617884067,201,3064,0.509166054413366264697060614708,250,6,3,leaky_relu,1
191,1762307239,58,76313c10-831d-43e7-a4b8-38ab472d921f,1762307297,1762310020,2723,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 183 --learning_rate 0.00222902769940932707 --batch_size 173 --hidden_size 4919 --dropout 0.45520759147103145859 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c44,1217555,191_0,COMPLETED,BOTORCH_MODULAR,68.85999999999999943156581139192,183,0.002229027699409327073487574467,173,4919,0.455207591471031458585372320158,250,6,3,leaky_relu,1
192,1762307240,111,76313c10-831d-43e7-a4b8-38ab472d921f,1762307351,1762309183,1832,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 127 --learning_rate 0.00248806033942634494 --batch_size 206 --hidden_size 6362 --dropout 0.56434181358697432795 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c49,1217560,192_0,COMPLETED,BOTORCH_MODULAR,71.700000000000002842170943040401,127,0.002488060339426344941271551647,206,6362,0.564341813586974327954237651284,250,6,3,leaky_relu,1
193,1762307239,58,76313c10-831d-43e7-a4b8-38ab472d921f,1762307297,1762309939,2642,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 183 --learning_rate 0.00229992260292156015 --batch_size 216 --hidden_size 7484 --dropout 0.32430805955055447276 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c44,1217553,193_0,COMPLETED,BOTORCH_MODULAR,72.17000000000000170530256582424,183,0.002299922602921560151056912247,216,7484,0.324308059550554472760808266685,250,6,3,leaky_relu,1
194,1762307240,21,76313c10-831d-43e7-a4b8-38ab472d921f,1762307261,1762310167,2906,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 202 --learning_rate 0.00223244304157583064 --batch_size 201 --hidden_size 3828 --dropout 0.25351848161679896299 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c68,1217551,194_0,COMPLETED,BOTORCH_MODULAR,71.760000000000005115907697472721,202,0.002232443041575830639661193189,201,3828,0.253518481616798962985370735623,250,6,3,leaky_relu,1
195,1762307240,59,76313c10-831d-43e7-a4b8-38ab472d921f,1762307299,1762309379,2080,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 146 --learning_rate 0.00264666145438876167 --batch_size 231 --hidden_size 3608 --dropout 0.59951646914404521649 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c44,1217552,195_0,COMPLETED,BOTORCH_MODULAR,72.120000000000004547473508864641,146,0.002646661454388761665346141427,231,3608,0.599516469144045216488336791372,250,6,3,leaky_relu,1
196,1762307243,289,76313c10-831d-43e7-a4b8-38ab472d921f,1762307532,1762310032,2500,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 171 --learning_rate 0.002283380004389708 --batch_size 191 --hidden_size 7255 --dropout 0.45518570764428328834 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c130,1217562,196_0,COMPLETED,BOTORCH_MODULAR,72.92000000000000170530256582424,171,0.0022833800043897079998234112,191,7255,0.455185707644283288342279547578,250,6,3,leaky_relu,1
197,1762307243,139,76313c10-831d-43e7-a4b8-38ab472d921f,1762307382,1762309911,2529,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 178 --learning_rate 0.00242315079174619096 --batch_size 219 --hidden_size 2077 --dropout 0.45651424516978528212 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c32,1217561,197_0,COMPLETED,BOTORCH_MODULAR,72.10999999999999943156581139192,178,0.002423150791746190961528650831,219,2077,0.456514245169785282119079283802,250,6,3,leaky_relu,1
198,1762307243,319,76313c10-831d-43e7-a4b8-38ab472d921f,1762307562,1762310199,2637,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 181 --learning_rate 0.00240388457972006211 --batch_size 197 --hidden_size 2536 --dropout 0.46554799785917960753 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c152,1217563,198_0,COMPLETED,BOTORCH_MODULAR,72.25,181,0.002403884579720062114605028114,197,2536,0.465547997859179607527124744593,250,6,3,leaky_relu,1
199,1762307246,316,76313c10-831d-43e7-a4b8-38ab472d921f,1762307562,1762310258,2696,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 186 --learning_rate 0.00231679902888521369 --batch_size 199 --hidden_size 4863 --dropout 0.40261683855850349811 --filter 241 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c87,1217564,199_0,COMPLETED,BOTORCH_MODULAR,72.200000000000002842170943040401,186,0.002316799028885213693890188225,199,4863,0.402616838558503498113338991971,241,6,3,leaky_relu,1
200,1762310479,26,76313c10-831d-43e7-a4b8-38ab472d921f,1762310505,1762314182,3677,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 241 --learning_rate 0.00125982827724780344 --batch_size 93 --hidden_size 7623 --dropout 0.00479628013874819781 --filter 165 --num_conv_layers 6 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c88,1217585,200_0,COMPLETED,BOTORCH_MODULAR,68.35999999999999943156581139192,241,0.001259828277247803437338680155,93,7623,0.004796280138748197814646534454,165,6,4,tanh,1
201,1762310480,25,76313c10-831d-43e7-a4b8-38ab472d921f,1762310505,1762313081,2576,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 198 --learning_rate 0.0024019477842685457 --batch_size 224 --hidden_size 5890 --dropout 0.00024980230218419485 --filter 131 --num_conv_layers 6 --activation tanh --pool_kernel 3 --num_dense_layers 1 --dense_activation tanh,0,,c21,1217590,201_0,COMPLETED,BOTORCH_MODULAR,68.790000000000006252776074688882,198,0.002401947784268545701968911033,224,5890,0.000249802302184194853756221688,131,6,3,tanh,1
202,1762310480,446,76313c10-831d-43e7-a4b8-38ab472d921f,1762310926,1762314690,3764,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.0013291291679061513 --batch_size 101 --hidden_size 3546 --dropout 0.00000687419900375647 --filter 159 --num_conv_layers 6 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c21,1217600,202_0,COMPLETED,BOTORCH_MODULAR,68.790000000000006252776074688882,250,0.001329129167906151296613126433,101,3546,0.000006874199003756465705490195,159,6,4,tanh,1
203,1762310479,26,76313c10-831d-43e7-a4b8-38ab472d921f,1762310505,1762313882,3377,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00126575461052012123 --batch_size 90 --hidden_size 1736 --dropout 0.00154552748391838398 --filter 69 --num_conv_layers 5 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c79,1217588,203_0,COMPLETED,BOTORCH_MODULAR,64.340000000000003410605131648481,250,0.001265754610520121231295731512,90,1736,0.001545527483918383978775401566,69,5,4,tanh,1
204,,,,,,,,,,,,204_0,FAILED,BOTORCH_MODULAR,,249,0.001187128106716230004774592643,73,7893,0.000110036010866111790646934554,227,6,4,tanh,1
205,1762310480,25,76313c10-831d-43e7-a4b8-38ab472d921f,1762310505,1762314390,3885,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00163347166403724582 --batch_size 140 --hidden_size 3829 --dropout 0.00003432021687854576 --filter 250 --num_conv_layers 4 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c79,1217589,205_0,COMPLETED,BOTORCH_MODULAR,68.89000000000000056843418860808,250,0.001633471664037245817818755356,140,3829,0.000034320216878545758672561239,250,4,4,tanh,1
206,1762310479,27,76313c10-831d-43e7-a4b8-38ab472d921f,1762310506,1762315932,5426,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 248 --learning_rate 0.00099753860114080539 --batch_size 29 --hidden_size 3212 --dropout 0.00709402011463788028 --filter 171 --num_conv_layers 4 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c85,1217586,206_0,COMPLETED,BOTORCH_MODULAR,67.64000000000000056843418860808,248,0.000997538601140805390385390972,29,3212,0.007094020114637880278229964404,171,4,4,relu,1
207,1762310480,55,76313c10-831d-43e7-a4b8-38ab472d921f,1762310535,1762312810,2275,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 157 --learning_rate 0.00226886190774929072 --batch_size 215 --hidden_size 7456 --dropout 0.00001617181960697389 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c13,1217592,207_0,COMPLETED,BOTORCH_MODULAR,70.590000000000003410605131648481,157,0.002268861907749290720420765055,215,7456,0.000016171819606973888072340428,250,6,3,leaky_relu,1
208,1762310480,26,76313c10-831d-43e7-a4b8-38ab472d921f,1762310506,1762313276,2770,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 198 --learning_rate 0.00239882598814747947 --batch_size 221 --hidden_size 3403 --dropout 0.00196512372501400287 --filter 221 --num_conv_layers 6 --activation tanh --pool_kernel 3 --num_dense_layers 1 --dense_activation tanh,0,,c13,1217591,208_0,COMPLETED,BOTORCH_MODULAR,70.430000000000006821210263296962,198,0.002398825988147479468942657732,221,3403,0.001965123725014002870059570682,221,6,3,tanh,1
209,1762310481,325,76313c10-831d-43e7-a4b8-38ab472d921f,1762310806,1762314499,3693,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 210 --learning_rate 0.00102106455567264128 --batch_size 50 --hidden_size 7525 --dropout 0.00000115691750489873 --filter 126 --num_conv_layers 6 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c80,1217595,209_0,COMPLETED,BOTORCH_MODULAR,67.78000000000000113686837721616,210,0.001021064555672641276443113334,50,7525,0.000001156917504898726796702625,126,6,4,tanh,1
210,1762310480,27,76313c10-831d-43e7-a4b8-38ab472d921f,1762310507,1762313971,3464,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 242 --learning_rate 0.00135933778209980935 --batch_size 107 --hidden_size 3817 --dropout 0.0060717964346306769 --filter 132 --num_conv_layers 5 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c79,1217587,210_0,COMPLETED,BOTORCH_MODULAR,64.870000000000004547473508864641,242,0.001359337782099809353170138948,107,3817,0.006071796434630676898847045919,132,5,4,tanh,1
211,1762310481,325,76313c10-831d-43e7-a4b8-38ab472d921f,1762310806,1762314120,3314,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.0012912428377178807 --batch_size 96 --hidden_size 7825 --dropout 0 --filter 77 --num_conv_layers 6 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c15,1217598,211_0,COMPLETED,BOTORCH_MODULAR,63.75,250,0.001291242837717880695067029784,96,7825,0,77,6,4,tanh,1
212,1762310481,145,76313c10-831d-43e7-a4b8-38ab472d921f,1762310626,1762314083,3457,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00133276035270556603 --batch_size 103 --hidden_size 6469 --dropout 0.00642188373900027566 --filter 100 --num_conv_layers 5 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c95,1217593,212_0,COMPLETED,BOTORCH_MODULAR,63.939999999999997726263245567679,250,0.001332760352705566033251760594,103,6469,0.006421883739000275662101024921,100,5,4,tanh,1
213,1762310481,325,76313c10-831d-43e7-a4b8-38ab472d921f,1762310806,1762314082,3276,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 232 --learning_rate 0.00221545562542867962 --batch_size 205 --hidden_size 7740 --dropout 0 --filter 210 --num_conv_layers 6 --activation tanh --pool_kernel 3 --num_dense_layers 1 --dense_activation tanh,0,,c42,1217597,213_0,COMPLETED,BOTORCH_MODULAR,69,232,0.002215455625428679620886329715,205,7740,0,210,6,3,tanh,1
214,1762310481,205,76313c10-831d-43e7-a4b8-38ab472d921f,1762310686,1762311629,943,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 64 --learning_rate 0.00245520654953254895 --batch_size 224 --hidden_size 5761 --dropout 0 --filter 222 --num_conv_layers 4 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c87,1217594,214_0,COMPLETED,BOTORCH_MODULAR,68.069999999999993178789736703038,64,0.002455206549532548947895049807,224,5761,0,222,4,2,leaky_relu,1
215,1762310481,355,76313c10-831d-43e7-a4b8-38ab472d921f,1762310836,1762314598,3762,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 240 --learning_rate 0.00145322773601419672 --batch_size 121 --hidden_size 4281 --dropout 0.0000112269263972185 --filter 215 --num_conv_layers 4 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c131,1217599,215_0,COMPLETED,BOTORCH_MODULAR,69.409999999999996589394868351519,240,0.001453227736014196715824686734,121,4281,0.000011226926397218504820427372,215,4,4,tanh,1
216,1762310483,473,76313c10-831d-43e7-a4b8-38ab472d921f,1762310956,1762313546,2590,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 190 --learning_rate 0.00236263641834350783 --batch_size 222 --hidden_size 4897 --dropout 0.00168998448398785745 --filter 212 --num_conv_layers 6 --activation tanh --pool_kernel 3 --num_dense_layers 1 --dense_activation tanh,0,,c111,1217602,216_0,COMPLETED,BOTORCH_MODULAR,70.85999999999999943156581139192,190,0.002362636418343507828387917158,222,4897,0.001689984483987857447756519846,212,6,3,tanh,1
217,1762310483,473,76313c10-831d-43e7-a4b8-38ab472d921f,1762310956,1762314613,3657,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 248 --learning_rate 0.00120004617246619125 --batch_size 81 --hidden_size 5409 --dropout 0 --filter 144 --num_conv_layers 6 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c139,1217601,217_0,COMPLETED,BOTORCH_MODULAR,68.459999999999993747223925311118,248,0.001200046172466191253536127448,81,5409,0,144,6,4,tanh,1
218,1762310487,469,76313c10-831d-43e7-a4b8-38ab472d921f,1762310956,1762313572,2616,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 175 --learning_rate 0.00235589368390139164 --batch_size 222 --hidden_size 5624 --dropout 0.00002110994936780006 --filter 247 --num_conv_layers 6 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c27,1217603,218_0,COMPLETED,BOTORCH_MODULAR,71.14000000000000056843418860808,175,0.00235589368390139164421981377,222,5624,0.000021109949367800062572722575,247,6,3,leaky_relu,1
219,1762310487,500,76313c10-831d-43e7-a4b8-38ab472d921f,1762310987,1762314931,3944,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00138682871671663732 --batch_size 113 --hidden_size 7473 --dropout 0.01867287948448303689 --filter 191 --num_conv_layers 5 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c145,1217604,219_0,COMPLETED,BOTORCH_MODULAR,61.64000000000000056843418860808,250,0.001386828716716637316733184981,113,7473,0.018672879484483036888198270731,191,5,4,tanh,1
220,1762318763,11,76313c10-831d-43e7-a4b8-38ab472d921f,1762318774,1762320440,1666,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00200976750644392193 --batch_size 132 --hidden_size 5102 --dropout 0.5999999999999999778 --filter 241 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217673,220_0,COMPLETED,BOTORCH_MODULAR,70.650000000000005684341886080801,102,0.002009767506443921932651752726,132,5102,0.599999999999999977795539507497,241,4,3,leaky_relu,1
221,1762318763,11,76313c10-831d-43e7-a4b8-38ab472d921f,1762318774,1762320163,1389,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 89 --learning_rate 0.00205046732239621025 --batch_size 124 --hidden_size 3203 --dropout 0.5999999999999999778 --filter 242 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c140,1217671,221_0,COMPLETED,BOTORCH_MODULAR,70.92000000000000170530256582424,89,0.002050467322396210250595727231,124,3203,0.599999999999999977795539507497,242,4,3,leaky_relu,1
222,1762318763,31,76313c10-831d-43e7-a4b8-38ab472d921f,1762318794,1762320326,1532,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 95 --learning_rate 0.00207297602947000524 --batch_size 135 --hidden_size 5204 --dropout 0.5999999999999999778 --filter 242 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217681,222_0,COMPLETED,BOTORCH_MODULAR,71.480000000000003979039320256561,95,0.002072976029470005240873398122,135,5204,0.599999999999999977795539507497,242,4,3,leaky_relu,1
223,1762318763,13,76313c10-831d-43e7-a4b8-38ab472d921f,1762318776,1762320315,1539,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 94 --learning_rate 0.00201623399365706297 --batch_size 143 --hidden_size 6255 --dropout 0.5999999999999999778 --filter 230 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217674,223_0,COMPLETED,BOTORCH_MODULAR,71.5,94,0.002016233993657062968651860757,143,6255,0.599999999999999977795539507497,230,4,3,leaky_relu,1
224,1762318764,31,76313c10-831d-43e7-a4b8-38ab472d921f,1762318795,1762320459,1664,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00197855759677068423 --batch_size 130 --hidden_size 4849 --dropout 0.5999999999999999778 --filter 242 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217680,224_0,COMPLETED,BOTORCH_MODULAR,71.5,104,0.001978557596770684229997572245,130,4849,0.599999999999999977795539507497,242,4,3,leaky_relu,1
225,1762318764,23,76313c10-831d-43e7-a4b8-38ab472d921f,1762318787,1762319919,1132,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00204926394003879242 --batch_size 136 --hidden_size 5840 --dropout 0.59972251864986492187 --filter 238 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c137,1217676,225_0,COMPLETED,BOTORCH_MODULAR,71.730000000000003979039320256561,70,0.002049263940038792419784385856,136,5840,0.599722518649864921869152567524,238,4,3,leaky_relu,1
226,1762318764,23,76313c10-831d-43e7-a4b8-38ab472d921f,1762318787,1762320524,1737,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00203384417956762762 --batch_size 113 --hidden_size 7808 --dropout 0.5999999999999999778 --filter 241 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c138,1217675,226_0,COMPLETED,BOTORCH_MODULAR,71,97,0.002033844179567627624000136777,113,7808,0.599999999999999977795539507497,241,4,3,leaky_relu,1
227,1762318765,54,76313c10-831d-43e7-a4b8-38ab472d921f,1762318819,1762320449,1630,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 100 --learning_rate 0.0020593626092276743 --batch_size 112 --hidden_size 5180 --dropout 0.5999999999999999778 --filter 237 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1217685,227_0,COMPLETED,BOTORCH_MODULAR,71.57999999999999829469743417576,100,0.002059362609227674296291654699,112,5180,0.599999999999999977795539507497,237,4,3,leaky_relu,1
228,1762318763,11,76313c10-831d-43e7-a4b8-38ab472d921f,1762318774,1762320272,1498,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.0019911940395203739 --batch_size 146 --hidden_size 2602 --dropout 0.5999999999999999778 --filter 242 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217672,228_0,COMPLETED,BOTORCH_MODULAR,71.39000000000000056843418860808,99,0.001991194039520373902651950715,146,2602,0.599999999999999977795539507497,242,4,3,leaky_relu,1
229,1762318764,50,76313c10-831d-43e7-a4b8-38ab472d921f,1762318814,1762320203,1389,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 86 --learning_rate 0.00199088461701338489 --batch_size 109 --hidden_size 3523 --dropout 0.5999999999999999778 --filter 243 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c132,1217682,229_0,COMPLETED,BOTORCH_MODULAR,71.189999999999997726263245567679,86,0.001990884617013384885741977826,109,3523,0.599999999999999977795539507497,243,4,3,leaky_relu,1
230,1762318765,51,76313c10-831d-43e7-a4b8-38ab472d921f,1762318816,1762320284,1468,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 96 --learning_rate 0.00200922188742368212 --batch_size 141 --hidden_size 3197 --dropout 0.5999999999999999778 --filter 235 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1217684,230_0,COMPLETED,BOTORCH_MODULAR,71.040000000000006252776074688882,96,0.002009221887423682118695156262,141,3197,0.599999999999999977795539507497,235,4,3,leaky_relu,1
231,1762318765,51,76313c10-831d-43e7-a4b8-38ab472d921f,1762318816,1762320539,1723,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 107 --learning_rate 0.00195212755884361907 --batch_size 161 --hidden_size 6900 --dropout 0.5999999999999999778 --filter 245 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c130,1217686,231_0,COMPLETED,BOTORCH_MODULAR,72.299999999999997157829056959599,107,0.001952127558843619065803709489,161,6900,0.599999999999999977795539507497,245,4,3,leaky_relu,1
232,1762318764,28,76313c10-831d-43e7-a4b8-38ab472d921f,1762318792,1762320026,1234,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 79 --learning_rate 0.00206080855451150433 --batch_size 114 --hidden_size 2479 --dropout 0.5999999999999999778 --filter 243 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217677,232_0,COMPLETED,BOTORCH_MODULAR,71.290000000000006252776074688882,79,0.002060808554511504332718008214,114,2479,0.599999999999999977795539507497,243,4,3,leaky_relu,1
233,1762318764,23,76313c10-831d-43e7-a4b8-38ab472d921f,1762318787,1762320420,1633,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00198751332830684243 --batch_size 135 --hidden_size 4060 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217679,233_0,COMPLETED,BOTORCH_MODULAR,71.5,102,0.001987513328306842429193945776,135,4060,0.599999999999999977795539507497,250,4,3,leaky_relu,1
234,1762318765,49,76313c10-831d-43e7-a4b8-38ab472d921f,1762318814,1762320206,1392,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 88 --learning_rate 0.00203287215299590264 --batch_size 132 --hidden_size 3945 --dropout 0.5999999999999999778 --filter 234 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1217683,234_0,COMPLETED,BOTORCH_MODULAR,71.430000000000006821210263296962,88,0.002032872152995902643307646329,132,3945,0.599999999999999977795539507497,234,4,3,leaky_relu,1
235,1762318764,23,76313c10-831d-43e7-a4b8-38ab472d921f,1762318787,1762320449,1662,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00199662726579317475 --batch_size 135 --hidden_size 5668 --dropout 0.59977439043361202575 --filter 241 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217678,235_0,COMPLETED,BOTORCH_MODULAR,71.810000000000002273736754432321,102,0.001996627265793174746399962771,135,5668,0.599774390433612025752552199265,241,4,3,leaky_relu,1
236,1762318768,46,76313c10-831d-43e7-a4b8-38ab472d921f,1762318814,1762320539,1725,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 104 --learning_rate 0.00204959629121574801 --batch_size 133 --hidden_size 6319 --dropout 0.5999999999999999778 --filter 241 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c130,1217687,236_0,COMPLETED,BOTORCH_MODULAR,71.349999999999994315658113919199,104,0.002049596291215748013886388534,133,6319,0.599999999999999977795539507497,241,4,3,leaky_relu,1
237,1762318768,48,76313c10-831d-43e7-a4b8-38ab472d921f,1762318816,1762320382,1566,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 97 --learning_rate 0.00203569311758177232 --batch_size 133 --hidden_size 5082 --dropout 0.5999999999999999778 --filter 242 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c129,1217689,237_0,COMPLETED,BOTORCH_MODULAR,71.680000000000006821210263296962,97,0.002035693117581772321189603758,133,5082,0.599999999999999977795539507497,242,4,3,leaky_relu,1
238,1762318768,46,76313c10-831d-43e7-a4b8-38ab472d921f,1762318814,1762320471,1657,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 102 --learning_rate 0.00202718702300047843 --batch_size 129 --hidden_size 4783 --dropout 0.5999999999999999778 --filter 241 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c129,1217688,238_0,COMPLETED,BOTORCH_MODULAR,71.189999999999997726263245567679,102,0.00202718702300047843092856148,129,4783,0.599999999999999977795539507497,241,4,3,leaky_relu,1
239,1762318770,44,76313c10-831d-43e7-a4b8-38ab472d921f,1762318814,1762319952,1138,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 69 --learning_rate 0.00197347522136535414 --batch_size 132 --hidden_size 5330 --dropout 0.5999999999999999778 --filter 241 --num_conv_layers 4 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c129,1217690,239_0,COMPLETED,BOTORCH_MODULAR,71.71999999999999886313162278384,69,0.001973475221365354140973247254,132,5330,0.599999999999999977795539507497,241,4,3,leaky_relu,1
240,1762320810,43,76313c10-831d-43e7-a4b8-38ab472d921f,1762320853,1762322489,1636,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00217371494339548476 --batch_size 197 --hidden_size 6275 --dropout 0.41060729864274708723 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217722,240_0,COMPLETED,BOTORCH_MODULAR,71.64000000000000056843418860808,110,0.002173714943395484763127845085,197,6275,0.410607298642747087225046698222,250,4,4,leaky_relu,1
241,1762320810,17,76313c10-831d-43e7-a4b8-38ab472d921f,1762320827,1762321750,923,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 65 --learning_rate 0.00221927364360677021 --batch_size 215 --hidden_size 4272 --dropout 0.39937998536003060934 --filter 234 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c140,1217712,241_0,COMPLETED,BOTORCH_MODULAR,71.439999999999997726263245567679,65,0.002219273643606770214653511886,215,4272,0.39937998536003060934262975934,234,4,4,leaky_relu,1
242,1762320810,53,76313c10-831d-43e7-a4b8-38ab472d921f,1762320863,1762322526,1663,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 112 --learning_rate 0.0021677870597173886 --batch_size 201 --hidden_size 6116 --dropout 0.38755473568875747903 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217721,242_0,COMPLETED,BOTORCH_MODULAR,71.85999999999999943156581139192,112,0.002167787059717388598728549098,201,6116,0.387554735688757479028510033459,250,4,4,leaky_relu,1
243,1762320810,17,76313c10-831d-43e7-a4b8-38ab472d921f,1762320827,1762322480,1653,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00214487067009387069 --batch_size 212 --hidden_size 5175 --dropout 0.39278501804527904406 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217713,243_0,COMPLETED,BOTORCH_MODULAR,72.64000000000000056843418860808,113,0.002144870670093870692468618344,212,5175,0.392785018045279044063278206522,250,4,4,leaky_relu,1
244,1762320810,19,76313c10-831d-43e7-a4b8-38ab472d921f,1762320829,1762322464,1635,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00220463954167552994 --batch_size 193 --hidden_size 5852 --dropout 0.40223814799265761311 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217714,244_0,COMPLETED,BOTORCH_MODULAR,72.07999999999999829469743417576,110,0.00220463954167552994220513618,193,5852,0.402238147992657613105649261342,250,4,4,leaky_relu,1
245,1762320810,3,76313c10-831d-43e7-a4b8-38ab472d921f,1762320813,1762322668,1855,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 125 --learning_rate 0.0021530578856290665 --batch_size 195 --hidden_size 5777 --dropout 0.38178953515374808303 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c149,1217711,245_0,COMPLETED,BOTORCH_MODULAR,71.25,125,0.002153057885629066497967798455,195,5777,0.381789535153748083029512372377,250,4,4,leaky_relu,1
246,1762320811,69,76313c10-831d-43e7-a4b8-38ab472d921f,1762320880,1762322457,1577,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 110 --learning_rate 0.00216015044492574209 --batch_size 197 --hidden_size 3981 --dropout 0.3647371620345353227 --filter 246 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1217725,246_0,COMPLETED,BOTORCH_MODULAR,71.71999999999999886313162278384,110,0.002160150444925742086593745128,197,3981,0.364737162034535322696626735706,246,4,4,leaky_relu,1
247,1762320811,62,76313c10-831d-43e7-a4b8-38ab472d921f,1762320873,1762322593,1720,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 115 --learning_rate 0.00214498549806663294 --batch_size 199 --hidden_size 6860 --dropout 0.37695355852018902487 --filter 245 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1217726,247_0,COMPLETED,BOTORCH_MODULAR,71.689999999999997726263245567679,115,0.002144985498066632936126074682,199,6860,0.376953558520189024871882566003,245,4,4,leaky_relu,1
248,1762320811,46,76313c10-831d-43e7-a4b8-38ab472d921f,1762320857,1762323040,2183,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 148 --learning_rate 0.00207134784638006051 --batch_size 217 --hidden_size 7501 --dropout 0.33786849914101052539 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c132,1217723,248_0,COMPLETED,BOTORCH_MODULAR,71.700000000000002842170943040401,148,0.002071347846380060513798992972,217,7501,0.337868499141010525388395535629,250,4,4,leaky_relu,1
249,1762320811,44,76313c10-831d-43e7-a4b8-38ab472d921f,1762320855,1762322492,1637,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00215017913026424113 --batch_size 195 --hidden_size 4383 --dropout 0.38119311179355697128 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217718,249_0,COMPLETED,BOTORCH_MODULAR,71.21999999999999886313162278384,113,0.002150179130264241126463398146,195,4383,0.381193111793556971278462697228,250,4,4,leaky_relu,1
250,1762320811,67,76313c10-831d-43e7-a4b8-38ab472d921f,1762320878,1762322611,1733,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 116 --learning_rate 0.00217088906372622358 --batch_size 194 --hidden_size 6021 --dropout 0.38264990953850458455 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1217724,250_0,COMPLETED,BOTORCH_MODULAR,72.67000000000000170530256582424,116,0.002170889063726223582040386617,194,6021,0.382649909538504584549656328818,250,4,4,leaky_relu,1
251,1762320812,41,76313c10-831d-43e7-a4b8-38ab472d921f,1762320853,1762322454,1601,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00216021754239771038 --batch_size 196 --hidden_size 3933 --dropout 0.38441155264147741644 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217719,251_0,COMPLETED,BOTORCH_MODULAR,71.89000000000000056843418860808,111,0.002160217542397710379503683598,196,3933,0.38441155264147741643654399013,250,4,4,leaky_relu,1
252,1762320811,47,76313c10-831d-43e7-a4b8-38ab472d921f,1762320858,1762322246,1388,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 95 --learning_rate 0.00218501169863258553 --batch_size 220 --hidden_size 4657 --dropout 0.39937510324477387691 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217720,252_0,COMPLETED,BOTORCH_MODULAR,72.269999999999996020960679743439,95,0.002185011698632585534773919989,220,4657,0.399375103244773876909334830998,250,4,4,leaky_relu,1
253,1762320811,22,76313c10-831d-43e7-a4b8-38ab472d921f,1762320833,1762322712,1879,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 125 --learning_rate 0.00210201734954110686 --batch_size 220 --hidden_size 7464 --dropout 0.38126752213442477446 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217715,253_0,COMPLETED,BOTORCH_MODULAR,71.790000000000006252776074688882,125,0.002102017349541106857463423907,220,7464,0.381267522134424774460370599627,250,4,4,leaky_relu,1
254,1762320810,23,76313c10-831d-43e7-a4b8-38ab472d921f,1762320833,1762322569,1736,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00218020691144288218 --batch_size 191 --hidden_size 7474 --dropout 0.39022275353919355645 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c138,1217716,254_0,COMPLETED,BOTORCH_MODULAR,72.069999999999993178789736703038,113,0.002180206911442882176249691284,191,7474,0.39022275353919355644904953806,250,4,4,leaky_relu,1
255,1762320811,42,76313c10-831d-43e7-a4b8-38ab472d921f,1762320853,1762322478,1625,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 111 --learning_rate 0.00214352584370395335 --batch_size 196 --hidden_size 5295 --dropout 0.35499797137734823149 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c137,1217717,255_0,COMPLETED,BOTORCH_MODULAR,72.200000000000002842170943040401,111,0.002143525843703953347174628874,196,5295,0.354997971377348231492021568556,250,4,4,leaky_relu,1
256,1762320813,74,76313c10-831d-43e7-a4b8-38ab472d921f,1762320887,1762321704,817,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00222594310632994201 --batch_size 199 --hidden_size 7423 --dropout 0.39607889246970667818 --filter 242 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c130,1217727,256_0,COMPLETED,BOTORCH_MODULAR,71.14000000000000056843418860808,54,0.002225943106329942005466859811,199,7423,0.396078892469706678181040615527,242,4,4,leaky_relu,1
257,1762320817,72,76313c10-831d-43e7-a4b8-38ab472d921f,1762320889,1762322198,1309,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 92 --learning_rate 0.00220433092977260396 --batch_size 232 --hidden_size 4806 --dropout 0.39764728892826578521 --filter 237 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c130,1217728,257_0,COMPLETED,BOTORCH_MODULAR,71.57999999999999829469743417576,92,0.002204330929772603964861277248,232,4806,0.397647288928265785212801119997,237,4,4,leaky_relu,1
258,1762320823,64,76313c10-831d-43e7-a4b8-38ab472d921f,1762320887,1762322633,1746,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 118 --learning_rate 0.00239065655658370979 --batch_size 242 --hidden_size 6535 --dropout 0.5999999999999999778 --filter 230 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c129,1217729,258_0,COMPLETED,BOTORCH_MODULAR,71.540000000000006252776074688882,118,0.002390656556583709794333580945,242,6535,0.599999999999999977795539507497,230,5,3,leaky_relu,1
259,1762320823,91,76313c10-831d-43e7-a4b8-38ab472d921f,1762320914,1762322575,1661,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00215807562127756864 --batch_size 193 --hidden_size 6527 --dropout 0.38110267987948798218 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c155,1217730,259_0,COMPLETED,BOTORCH_MODULAR,72.21999999999999886313162278384,109,0.002158075621277568637707000576,193,6527,0.381102679879487982184116390272,250,4,4,leaky_relu,1
260,1762323321,24,76313c10-831d-43e7-a4b8-38ab472d921f,1762323345,1762325287,1942,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 128 --learning_rate 0.00210580084857560574 --batch_size 198 --hidden_size 5602 --dropout 0.4343871746077738738 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c149,1217734,260_0,COMPLETED,BOTORCH_MODULAR,70.909999999999996589394868351519,128,0.002105800848575605736107130284,198,5602,0.434387174607773873802329944738,250,4,3,relu,1
261,1762323321,23,76313c10-831d-43e7-a4b8-38ab472d921f,1762323344,1762324908,1564,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 105 --learning_rate 0.00210237489456608761 --batch_size 206 --hidden_size 5328 --dropout 0.4374680612951699632 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c140,1217736,261_0,COMPLETED,BOTORCH_MODULAR,70.549999999999997157829056959599,105,0.002102374894566087608349658211,206,5328,0.437468061295169963198503637614,250,4,3,relu,1
262,1762323321,24,76313c10-831d-43e7-a4b8-38ab472d921f,1762323345,1762324543,1198,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00208884289161640315 --batch_size 223 --hidden_size 3996 --dropout 0.42131166333389186152 --filter 248 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c148,1217735,262_0,COMPLETED,BOTORCH_MODULAR,70.700000000000002842170943040401,83,0.002088842891616403147497793569,223,3996,0.421311663333891861515922983017,248,4,3,relu,1
263,1762323321,43,76313c10-831d-43e7-a4b8-38ab472d921f,1762323364,1762325443,2079,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 134 --learning_rate 0.00196614156722067909 --batch_size 186 --hidden_size 7908 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 5 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu,0,,c139,1217738,263_0,COMPLETED,BOTORCH_MODULAR,70.340000000000003410605131648481,134,0.001966141567220679089306178966,186,7908,0.599999999999999977795539507497,250,5,4,relu,1
264,1762323321,43,76313c10-831d-43e7-a4b8-38ab472d921f,1762323364,1762325346,1982,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 129 --learning_rate 0.00209421431539153109 --batch_size 213 --hidden_size 6949 --dropout 0.49432147898357836624 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c138,1217741,264_0,COMPLETED,BOTORCH_MODULAR,71.21999999999999886313162278384,129,0.002094214315391531092136467862,213,6949,0.494321478983578366239726165077,250,4,3,relu,1
265,1762323322,84,76313c10-831d-43e7-a4b8-38ab472d921f,1762323406,1762325461,2055,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 138 --learning_rate 0.0021357863471724802 --batch_size 205 --hidden_size 4562 --dropout 0.40001906988928304099 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c133,1217746,265_0,COMPLETED,BOTORCH_MODULAR,70.89000000000000056843418860808,138,0.002135786347172480195005794812,205,4562,0.400019069889283040986072137457,250,4,3,relu,1
266,1762323320,4,76313c10-831d-43e7-a4b8-38ab472d921f,1762323324,1762325336,2012,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 131 --learning_rate 0.00205232527178935255 --batch_size 211 --hidden_size 7907 --dropout 0.4001388018430903637 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c155,1217732,266_0,COMPLETED,BOTORCH_MODULAR,70.620000000000004547473508864641,131,0.002052325271789352551660146062,211,7907,0.400138801843090363696830991103,250,4,3,relu,1
267,1762323320,4,76313c10-831d-43e7-a4b8-38ab472d921f,1762323324,1762324400,1076,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.0018697086184591091 --batch_size 154 --hidden_size 587 --dropout 0 --filter 210 --num_conv_layers 6 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c155,1217731,267_0,COMPLETED,BOTORCH_MODULAR,69.75,70,0.0018697086184591091024415066,154,587,0,210,6,4,tanh,1
268,1762323320,4,76313c10-831d-43e7-a4b8-38ab472d921f,1762323324,1762325095,1771,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00208515334815551675 --batch_size 200 --hidden_size 5955 --dropout 0.43924442112350214895 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c153,1217733,268_0,COMPLETED,BOTORCH_MODULAR,70.959999999999993747223925311118,113,0.002085153348155516749018456579,200,5955,0.439244421123502148951445178682,250,4,3,relu,1
269,1762323321,24,76313c10-831d-43e7-a4b8-38ab472d921f,1762323345,1762324608,1263,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 85 --learning_rate 0.00219218835732310413 --batch_size 211 --hidden_size 4542 --dropout 0.42343090504956748532 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c140,1217737,269_0,COMPLETED,BOTORCH_MODULAR,70.799999999999997157829056959599,85,0.002192188357323104127422075393,211,4542,0.423430905049567485320949344896,250,4,3,relu,1
270,1762323322,42,76313c10-831d-43e7-a4b8-38ab472d921f,1762323364,1762324924,1560,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 108 --learning_rate 0.00210525086126061136 --batch_size 191 --hidden_size 1857 --dropout 0.37984559179125187978 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c139,1217740,270_0,COMPLETED,BOTORCH_MODULAR,70.450000000000002842170943040401,108,0.00210525086126061135652354217,191,1857,0.379845591791251879776325495186,250,4,3,relu,1
271,1762323322,55,76313c10-831d-43e7-a4b8-38ab472d921f,1762323377,1762325199,1822,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 123 --learning_rate 0.00209096382444411968 --batch_size 204 --hidden_size 5140 --dropout 0.46177257015769773707 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c137,1217742,271_0,COMPLETED,BOTORCH_MODULAR,70.340000000000003410605131648481,123,0.002090963824444119680684428531,204,5140,0.461772570157697737069923960007,250,4,3,relu,1
272,1762323322,84,76313c10-831d-43e7-a4b8-38ab472d921f,1762323406,1762325329,1923,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 128 --learning_rate 0.00214463419133313019 --batch_size 202 --hidden_size 5801 --dropout 0.49040758844020426732 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c133,1217745,272_0,COMPLETED,BOTORCH_MODULAR,71.35999999999999943156581139192,128,0.002144634191333130192325118202,202,5801,0.490407588440204267321576026006,250,4,3,relu,1
273,1762323321,56,76313c10-831d-43e7-a4b8-38ab472d921f,1762323377,1762325347,1970,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 131 --learning_rate 0.00205995678694794555 --batch_size 214 --hidden_size 6588 --dropout 0.45470074650668285132 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c136,1217743,273_0,COMPLETED,BOTORCH_MODULAR,71.310000000000002273736754432321,131,0.002059956786947945549942629029,214,6588,0.454700746506682851322267424621,250,4,3,relu,1
274,1762323322,62,76313c10-831d-43e7-a4b8-38ab472d921f,1762323384,1762325280,1896,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 131 --learning_rate 0.00204488460752116344 --batch_size 200 --hidden_size 3681 --dropout 0.38214733177988591262 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c136,1217744,274_0,COMPLETED,BOTORCH_MODULAR,70.849999999999994315658113919199,131,0.002044884607521163435300826094,200,3681,0.382147331779885912617089616106,250,4,3,relu,1
275,1762323321,43,76313c10-831d-43e7-a4b8-38ab472d921f,1762323364,1762324736,1372,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 93 --learning_rate 0.00214502450272392947 --batch_size 222 --hidden_size 4576 --dropout 0.46363872899293484542 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c139,1217739,275_0,COMPLETED,BOTORCH_MODULAR,71.209999999999993747223925311118,93,0.002145024502723929474973241227,222,4576,0.463638728992934845418716349741,250,4,3,relu,1
276,1762323326,78,76313c10-831d-43e7-a4b8-38ab472d921f,1762323404,1762325461,2057,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 137 --learning_rate 0.00206844689218921426 --batch_size 207 --hidden_size 5520 --dropout 0.48642481276045596017 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c133,1217747,276_0,COMPLETED,BOTORCH_MODULAR,70.849999999999994315658113919199,137,0.002068446892189214261076335433,207,5520,0.486424812760455960169991840303,250,4,3,relu,1
277,1762323326,78,76313c10-831d-43e7-a4b8-38ab472d921f,1762323404,1762325422,2018,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 129 --learning_rate 0.00206499257494160418 --batch_size 190 --hidden_size 7722 --dropout 0.4627568084276820759 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c132,1217748,277_0,COMPLETED,BOTORCH_MODULAR,71.299999999999997157829056959599,129,0.002064992574941604177446441426,190,7722,0.462756808427682075901543612417,250,4,3,relu,1
278,1762323326,78,76313c10-831d-43e7-a4b8-38ab472d921f,1762323404,1762324555,1151,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 73 --learning_rate 0.00218257395036615528 --batch_size 197 --hidden_size 7463 --dropout 0.41394878835072146384 --filter 250 --num_conv_layers 4 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c131,1217749,278_0,COMPLETED,BOTORCH_MODULAR,70.870000000000004547473508864641,73,0.002182573950366155281915814257,197,7463,0.41394878835072146383566860095,250,4,3,relu,1
279,1762323328,77,76313c10-831d-43e7-a4b8-38ab472d921f,1762323405,1762324911,1506,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00189893681428995398 --batch_size 179 --hidden_size 667 --dropout 0 --filter 207 --num_conv_layers 6 --activation tanh --pool_kernel 4 --num_dense_layers 1 --dense_activation tanh,0,,c131,1217750,279_0,COMPLETED,BOTORCH_MODULAR,69.269999999999996020960679743439,109,0.001898936814289953981665926008,179,667,0,207,6,4,tanh,1
280,1762325805,6,76313c10-831d-43e7-a4b8-38ab472d921f,1762325811,1762328156,2345,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 164 --learning_rate 0.00210525980012635575 --batch_size 194 --hidden_size 2740 --dropout 0.59230410904157959617 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217783,280_0,COMPLETED,BOTORCH_MODULAR,72.10999999999999943156581139192,164,0.002105259800126355745897299698,194,2740,0.592304109041579596173221489153,250,4,4,leaky_relu,1
281,1762325808,20,76313c10-831d-43e7-a4b8-38ab472d921f,1762325828,1762328163,2335,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 168 --learning_rate 0.00206192967432664671 --batch_size 196 --hidden_size 1354 --dropout 0.55303363014431439204 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c132,1217791,281_0,COMPLETED,BOTORCH_MODULAR,72.099999999999994315658113919199,168,0.002061929674326646710208477131,196,1354,0.553033630144314392040882921719,250,4,4,leaky_relu,1
282,1762325804,3,76313c10-831d-43e7-a4b8-38ab472d921f,1762325807,1762328296,2489,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 161 --learning_rate 0.00207930400051542161 --batch_size 188 --hidden_size 5964 --dropout 0.59790257593984974527 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c153,1217777,282_0,COMPLETED,BOTORCH_MODULAR,71.540000000000006252776074688882,161,0.002079304000515421607664379167,188,5964,0.597902575939849745267906655499,250,4,4,leaky_relu,1
283,1762325804,5,76313c10-831d-43e7-a4b8-38ab472d921f,1762325809,1762328811,3002,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 198 --learning_rate 0.00201795511843781564 --batch_size 182 --hidden_size 3976 --dropout 0.55697936677955461882 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c149,1217778,283_0,COMPLETED,BOTORCH_MODULAR,71.739999999999994884092302527279,198,0.002017955118437815640458632416,182,3976,0.556979366779554618815950561839,250,4,4,leaky_relu,1
284,1762325805,6,76313c10-831d-43e7-a4b8-38ab472d921f,1762325811,1762327930,2119,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 147 --learning_rate 0.00210666733801759438 --batch_size 205 --hidden_size 4204 --dropout 0.59825886362863456291 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c137,1217785,284_0,COMPLETED,BOTORCH_MODULAR,71.950000000000002842170943040401,147,0.002106667338017594384713682132,205,4204,0.598258863628634562914498928876,250,4,4,leaky_relu,1
285,1762325804,9,76313c10-831d-43e7-a4b8-38ab472d921f,1762325813,1762329556,3743,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 177 --learning_rate 0.00025110676427806967 --batch_size 44 --hidden_size 4743 --dropout 0.04817993057328890522 --filter 230 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217782,285_0,COMPLETED,BOTORCH_MODULAR,71.299999999999997157829056959599,177,0.000251106764278069668951814952,44,4743,0.04817993057328890521562314575,230,5,4,leaky_relu,1
286,1762325804,12,76313c10-831d-43e7-a4b8-38ab472d921f,1762325816,1762328445,2629,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 178 --learning_rate 0.00202278410546447756 --batch_size 209 --hidden_size 5741 --dropout 0.57909146405528200141 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c140,1217779,286_0,COMPLETED,BOTORCH_MODULAR,71.879999999999995452526491135359,178,0.002022784105464477556052260709,209,5741,0.579091464055282001410773773387,250,4,4,leaky_relu,1
287,1762325805,6,76313c10-831d-43e7-a4b8-38ab472d921f,1762325811,1762328188,2377,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 162 --learning_rate 0.00201767573614393229 --batch_size 178 --hidden_size 3651 --dropout 0.58802309662566909498 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217787,287_0,COMPLETED,BOTORCH_MODULAR,72.150000000000005684341886080801,162,0.002017675736143932294086589252,178,3651,0.588023096625669094983379636687,250,4,4,leaky_relu,1
288,1762325806,21,76313c10-831d-43e7-a4b8-38ab472d921f,1762325827,1762328126,2299,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 158 --learning_rate 0.00204208739873750194 --batch_size 190 --hidden_size 4751 --dropout 0.5992722425166600031 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217790,288_0,COMPLETED,BOTORCH_MODULAR,71.510000000000005115907697472721,158,0.002042087398737501939549598973,190,4751,0.59927224251666000309768378429,250,4,4,leaky_relu,1
289,1762325804,7,76313c10-831d-43e7-a4b8-38ab472d921f,1762325811,1762327991,2180,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.00203872473975499468 --batch_size 198 --hidden_size 3981 --dropout 0.58211459839178592013 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c140,1217780,289_0,COMPLETED,BOTORCH_MODULAR,72.370000000000004547473508864641,150,0.002038724739754994678964106214,198,3981,0.582114598391785920128427278541,250,4,4,leaky_relu,1
290,1762325803,5,76313c10-831d-43e7-a4b8-38ab472d921f,1762325808,1762329907,4099,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 231 --learning_rate 0.0002614661977224303 --batch_size 60 --hidden_size 2556 --dropout 0 --filter 226 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c155,1217776,290_0,COMPLETED,BOTORCH_MODULAR,70.03000000000000113686837721616,231,0.00026146619772243030006483866,60,2556,0,226,5,4,leaky_relu,1
291,1762325804,7,76313c10-831d-43e7-a4b8-38ab472d921f,1762325811,1762329380,3569,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 226 --learning_rate 0.00060637657112365937 --batch_size 120 --hidden_size 5906 --dropout 0.22671462167618872119 --filter 219 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217788,291_0,COMPLETED,BOTORCH_MODULAR,71.459999999999993747223925311118,226,0.000606376571123659374902559183,120,5906,0.226714621676188721188793806505,219,5,4,leaky_relu,1
292,1762325805,6,76313c10-831d-43e7-a4b8-38ab472d921f,1762325811,1762330040,4229,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 221 --learning_rate 0.00031605401111145889 --batch_size 65 --hidden_size 7041 --dropout 0.11635069739580983228 --filter 231 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217786,292_0,COMPLETED,BOTORCH_MODULAR,71.379999999999995452526491135359,221,0.000316054011111458886974096005,65,7041,0.116350697395809832279667261901,231,5,4,leaky_relu,1
293,1762325805,6,76313c10-831d-43e7-a4b8-38ab472d921f,1762325811,1762327939,2128,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 144 --learning_rate 0.00207896124829681133 --batch_size 187 --hidden_size 3983 --dropout 0.55499508719422097069 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c138,1217784,293_0,COMPLETED,BOTORCH_MODULAR,72.099999999999994315658113919199,144,0.002078961248296811326757849159,187,3983,0.554995087194220970694402694789,250,4,4,leaky_relu,1
294,1762325804,9,76313c10-831d-43e7-a4b8-38ab472d921f,1762325813,1762329922,4109,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 213 --learning_rate 0.00022390495992193667 --batch_size 62 --hidden_size 6278 --dropout 0.05431013080107677249 --filter 227 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217781,294_0,COMPLETED,BOTORCH_MODULAR,70.799999999999997157829056959599,213,0.000223904959921936673461484446,62,6278,0.054310130801076772488755750601,227,5,4,leaky_relu,1
295,1762325806,21,76313c10-831d-43e7-a4b8-38ab472d921f,1762325827,1762328081,2254,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 149 --learning_rate 0.00202227963042391672 --batch_size 193 --hidden_size 7265 --dropout 0.5925780404856919592 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217789,295_0,COMPLETED,BOTORCH_MODULAR,71.879999999999995452526491135359,149,0.002022279630423916719356158822,193,7265,0.592578040485691959204928025429,250,4,4,leaky_relu,1
296,1762325818,9,76313c10-831d-43e7-a4b8-38ab472d921f,1762325827,1762328183,2356,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 168 --learning_rate 0.00204389082761639385 --batch_size 193 --hidden_size 2137 --dropout 0.58842867345690885728 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1217792,296_0,COMPLETED,BOTORCH_MODULAR,71.980000000000003979039320256561,168,0.00204389082761639384946961151,193,2137,0.588428673456908857275493573979,250,4,4,leaky_relu,1
297,1762325819,10,76313c10-831d-43e7-a4b8-38ab472d921f,1762325829,1762328496,2667,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 186 --learning_rate 0.00208775583174680311 --batch_size 197 --hidden_size 3533 --dropout 0.55645668342997267608 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c129,1217795,297_0,COMPLETED,BOTORCH_MODULAR,72.32999999999999829469743417576,186,0.002087755831746803108356358436,197,3533,0.556456683429972676080410565191,250,4,4,leaky_relu,1
298,1762325818,11,76313c10-831d-43e7-a4b8-38ab472d921f,1762325829,1762328442,2613,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 176 --learning_rate 0.00203647151238692649 --batch_size 191 --hidden_size 6079 --dropout 0.54696085137970473777 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1217793,298_0,COMPLETED,BOTORCH_MODULAR,71.700000000000002842170943040401,176,0.002036471512386926491916527837,191,6079,0.54696085137970473777357938161,250,4,4,leaky_relu,1
299,1762325819,8,76313c10-831d-43e7-a4b8-38ab472d921f,1762325827,1762328395,2568,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 176 --learning_rate 0.00206356956373325443 --batch_size 232 --hidden_size 6630 --dropout 0.57887686615518985089 --filter 250 --num_conv_layers 4 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c129,1217794,299_0,COMPLETED,BOTORCH_MODULAR,72.349999999999994315658113919199,176,0.002063569563733254428467001063,232,6630,0.578876866155189850893236780394,250,4,4,leaky_relu,1
300,1762330381,20,76313c10-831d-43e7-a4b8-38ab472d921f,1762330401,1762332116,1715,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 109 --learning_rate 0.00139899937604979888 --batch_size 193 --hidden_size 6069 --dropout 0.32661099148009620219 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c143,1217847,300_0,COMPLETED,BOTORCH_MODULAR,72.10999999999999943156581139192,109,0.001398999376049798884849573177,193,6069,0.326610991480096202188576626213,250,5,3,leaky_relu,1
301,1762330381,21,76313c10-831d-43e7-a4b8-38ab472d921f,1762330402,1762332187,1785,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00127907602992391217 --batch_size 136 --hidden_size 2600 --dropout 0.37718670687498612182 --filter 229 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c143,1217846,301_0,COMPLETED,BOTORCH_MODULAR,72.89000000000000056843418860808,117,0.001279076029923912173960620642,136,2600,0.377186706874986121817983075744,229,5,3,leaky_relu,1
302,1762330381,39,76313c10-831d-43e7-a4b8-38ab472d921f,1762330420,1762331963,1543,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 99 --learning_rate 0.00124084636518400075 --batch_size 163 --hidden_size 6961 --dropout 0.39453688114519425145 --filter 220 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217853,302_0,COMPLETED,BOTORCH_MODULAR,72.290000000000006252776074688882,99,0.001240846365184000753625892521,163,6961,0.394536881145194251452323896956,220,5,3,leaky_relu,1
303,1762330381,20,76313c10-831d-43e7-a4b8-38ab472d921f,1762330401,1762332986,2585,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 161 --learning_rate 0.0012798121938417215 --batch_size 174 --hidden_size 7282 --dropout 0.38120194981038607596 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c140,1217850,303_0,COMPLETED,BOTORCH_MODULAR,72.629999999999995452526491135359,161,0.001279812193841721500511821041,174,7282,0.38120194981038607595635880898,250,5,3,leaky_relu,1
304,1762330381,22,76313c10-831d-43e7-a4b8-38ab472d921f,1762330403,1762332861,2458,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 152 --learning_rate 0.00129372682260248486 --batch_size 175 --hidden_size 7311 --dropout 0.37422742248593143799 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c140,1217849,304_0,COMPLETED,BOTORCH_MODULAR,73.069999999999993178789736703038,152,0.001293726822602484860871840944,175,7311,0.374227422485931437989847836434,250,5,3,leaky_relu,1
305,1762330381,21,76313c10-831d-43e7-a4b8-38ab472d921f,1762330402,1762332592,2190,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 137 --learning_rate 0.00131869138256247354 --batch_size 187 --hidden_size 7558 --dropout 0.36004030528579733517 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c143,1217848,305_0,COMPLETED,BOTORCH_MODULAR,72.71999999999999886313162278384,137,0.001318691382562473543918479812,187,7558,0.360040305285797335166364518955,250,5,3,leaky_relu,1
306,1762330382,36,76313c10-831d-43e7-a4b8-38ab472d921f,1762330418,1762331728,1310,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00136542043272872352 --batch_size 218 --hidden_size 7884 --dropout 0.30853278060230654445 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217852,306_0,COMPLETED,BOTORCH_MODULAR,72.379999999999995452526491135359,83,0.001365420432728723515447555314,218,7884,0.30853278060230654444850983964,250,5,3,leaky_relu,1
307,1762330382,48,76313c10-831d-43e7-a4b8-38ab472d921f,1762330430,1762331281,851,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 54 --learning_rate 0.00134394837476699866 --batch_size 162 --hidden_size 3783 --dropout 0.32921336487885488609 --filter 247 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217857,307_0,COMPLETED,BOTORCH_MODULAR,71.569999999999993178789736703038,54,0.001343948374766998658455530169,162,3783,0.329213364878854886086401165812,247,5,3,leaky_relu,1
308,1762330381,16,76313c10-831d-43e7-a4b8-38ab472d921f,1762330397,1762331876,1479,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.00095767197484151784 --batch_size 68 --hidden_size 7082 --dropout 0.3565282388769737687 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c143,1217845,308_0,COMPLETED,BOTORCH_MODULAR,72.319999999999993178789736703038,71,0.000957671974841517838553106579,68,7082,0.356528238876973768700651135077,250,5,3,leaky_relu,1
309,1762330382,47,76313c10-831d-43e7-a4b8-38ab472d921f,1762330429,1762331515,1086,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 62 --learning_rate 0.00115250613157308356 --batch_size 115 --hidden_size 6251 --dropout 0.36750914907767873174 --filter 243 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217859,309_0,COMPLETED,BOTORCH_MODULAR,72.569999999999993178789736703038,62,0.001152506131573083564614834451,115,6251,0.367509149077678731742935269722,243,5,3,leaky_relu,1
310,1762330382,47,76313c10-831d-43e7-a4b8-38ab472d921f,1762330429,1762332205,1776,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 98 --learning_rate 0.00104837261733011617 --batch_size 84 --hidden_size 5797 --dropout 0.39603319586850826983 --filter 225 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217858,310_0,COMPLETED,BOTORCH_MODULAR,72.53000000000000113686837721616,98,0.001048372617330116168474218874,84,5797,0.396033195868508269832375390251,225,5,3,leaky_relu,1
311,1762330383,21,76313c10-831d-43e7-a4b8-38ab472d921f,1762330404,1762331226,822,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 55 --learning_rate 0.0013724385430767946 --batch_size 204 --hidden_size 6196 --dropout 0.35089955607440598273 --filter 220 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c137,1217856,311_0,COMPLETED,BOTORCH_MODULAR,71.450000000000002842170943040401,55,0.001372438543076794602304513404,204,6196,0.350899556074405982730723962959,220,5,3,leaky_relu,1
312,1762330382,20,76313c10-831d-43e7-a4b8-38ab472d921f,1762330402,1762331494,1092,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 70 --learning_rate 0.00129591661253702613 --batch_size 191 --hidden_size 6045 --dropout 0.31940498156349678149 --filter 245 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217854,312_0,COMPLETED,BOTORCH_MODULAR,72.189999999999997726263245567679,70,0.001295916612537026130907991117,191,6045,0.319404981563496781493682874498,245,5,3,leaky_relu,1
313,1762330383,21,76313c10-831d-43e7-a4b8-38ab472d921f,1762330404,1762333657,3253,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 185 --learning_rate 0.00112090156195039561 --batch_size 114 --hidden_size 6844 --dropout 0.42378344888007085656 --filter 241 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1217860,313_0,COMPLETED,BOTORCH_MODULAR,72.78000000000000113686837721616,185,0.001120901561950395607103470041,114,6844,0.423783448880070856557011893528,241,5,3,leaky_relu,1
314,1762330381,20,76313c10-831d-43e7-a4b8-38ab472d921f,1762330401,1762333268,2867,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 138 --learning_rate 0.00096677044980660618 --batch_size 66 --hidden_size 6596 --dropout 0.40282670311519447326 --filter 225 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c138,1217855,314_0,COMPLETED,BOTORCH_MODULAR,72.129999999999995452526491135359,138,0.000966770449806606175548184812,66,6596,0.402826703115194473259208507443,225,5,3,leaky_relu,1
315,1762330382,34,76313c10-831d-43e7-a4b8-38ab472d921f,1762330416,1762331872,1456,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 92 --learning_rate 0.00130452049809257498 --batch_size 161 --hidden_size 3706 --dropout 0.30687707241372497169 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1217851,315_0,COMPLETED,BOTORCH_MODULAR,72.14000000000000056843418860808,92,0.001304520498092574982973435027,161,3706,0.306877072413724971688964160421,250,5,3,leaky_relu,1
316,1762330396,8,76313c10-831d-43e7-a4b8-38ab472d921f,1762330404,1762331673,1269,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 74 --learning_rate 0.00107780296780945659 --batch_size 104 --hidden_size 7402 --dropout 0.38868341952108820259 --filter 220 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217862,316_0,COMPLETED,BOTORCH_MODULAR,72.540000000000006252776074688882,74,0.001077802967809456590950190069,104,7402,0.388683419521088202586156512552,220,5,3,leaky_relu,1
317,1762330396,10,76313c10-831d-43e7-a4b8-38ab472d921f,1762330406,1762332560,2154,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 137 --learning_rate 0.00132869149517579458 --batch_size 186 --hidden_size 6723 --dropout 0.35282499146623896857 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217861,317_0,COMPLETED,BOTORCH_MODULAR,72.5,137,0.001328691495175794582209172212,186,6723,0.352824991466238968573776446647,250,5,3,leaky_relu,1
318,1762330396,8,76313c10-831d-43e7-a4b8-38ab472d921f,1762330404,1762331753,1349,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 82 --learning_rate 0.00117916435769568331 --batch_size 137 --hidden_size 7540 --dropout 0.37048262915565266518 --filter 220 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c132,1217864,318_0,COMPLETED,BOTORCH_MODULAR,72.25,82,0.00117916435769568330935164191,137,7540,0.37048262915565266517603504326,220,5,3,leaky_relu,1
319,1762330396,10,76313c10-831d-43e7-a4b8-38ab472d921f,1762330406,1762331858,1452,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00114980059355505567 --batch_size 126 --hidden_size 7972 --dropout 0.35934312351255037754 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1217863,319_0,COMPLETED,BOTORCH_MODULAR,72.540000000000006252776074688882,83,0.001149800593555055667344122483,126,7972,0.359343123512550377540719637182,250,5,3,leaky_relu,1
320,1762333962,10,76313c10-831d-43e7-a4b8-38ab472d921f,1762333972,1762336510,2538,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 143 --learning_rate 0.00141818588127453943 --batch_size 134 --hidden_size 5279 --dropout 0.58842626714082291173 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c130,1218061,320_0,COMPLETED,BOTORCH_MODULAR,72.46999999999999886313162278384,143,0.001418185881274539429999781426,134,5279,0.588426267140822911727582322783,250,5,3,leaky_relu,1
321,1762333959,18,76313c10-831d-43e7-a4b8-38ab472d921f,1762333977,1762336501,2524,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 136 --learning_rate 0.00135105280954347755 --batch_size 134 --hidden_size 6987 --dropout 0.55450406448032352191 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1218051,321_0,COMPLETED,BOTORCH_MODULAR,72.909999999999996589394868351519,136,0.001351052809543477548070988803,134,6987,0.55450406448032352191290783594,250,5,3,leaky_relu,1
322,1762333960,12,76313c10-831d-43e7-a4b8-38ab472d921f,1762333972,1762336491,2519,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 137 --learning_rate 0.00145490071928067264 --batch_size 125 --hidden_size 6274 --dropout 0.56362631895847081775 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1218059,322_0,COMPLETED,BOTORCH_MODULAR,72.150000000000005684341886080801,137,0.001454900719280672639899254506,125,6274,0.563626318958470817754857762338,250,5,3,leaky_relu,1
323,1762333960,14,76313c10-831d-43e7-a4b8-38ab472d921f,1762333974,1762336880,2906,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 163 --learning_rate 0.00126896383768569177 --batch_size 164 --hidden_size 7249 --dropout 0.58901873921105041276 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1218057,323_0,COMPLETED,BOTORCH_MODULAR,72.39000000000000056843418860808,163,0.001268963837685691768003559687,164,7249,0.589018739211050412762915584608,250,5,3,leaky_relu,1
324,1762333960,17,76313c10-831d-43e7-a4b8-38ab472d921f,1762333977,1762336683,2706,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 144 --learning_rate 0.00157456662156887526 --batch_size 116 --hidden_size 6463 --dropout 0.40914063734702765807 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1218053,324_0,COMPLETED,BOTORCH_MODULAR,71.370000000000004547473508864641,144,0.001574566621568875262465736498,116,6463,0.409140637347027658066167532525,250,5,3,leaky_relu,1
325,1762333962,10,76313c10-831d-43e7-a4b8-38ab472d921f,1762333972,1762336687,2715,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 135 --learning_rate 0.00090801507008091121 --batch_size 69 --hidden_size 6719 --dropout 0.55500541941887282515 --filter 218 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c132,1218060,325_0,COMPLETED,BOTORCH_MODULAR,71.950000000000002842170943040401,135,0.000908015070080911207081597603,69,6719,0.555005419418872825154664951697,218,5,4,leaky_relu,1
326,1762333961,7,76313c10-831d-43e7-a4b8-38ab472d921f,1762333968,1762336416,2448,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 127 --learning_rate 0.00153582493003538755 --batch_size 137 --hidden_size 7473 --dropout 0.48774827871466125417 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c138,1218055,326_0,COMPLETED,BOTORCH_MODULAR,72.260000000000005115907697472721,127,0.001535824930035387548415970471,137,7473,0.487748278714661254173989846095,250,5,3,leaky_relu,1
327,1762333959,10,76313c10-831d-43e7-a4b8-38ab472d921f,1762333969,1762336583,2614,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 142 --learning_rate 0.00151879937103638427 --batch_size 128 --hidden_size 7186 --dropout 0.46044325681700037922 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c140,1218049,327_0,COMPLETED,BOTORCH_MODULAR,72.739999999999994884092302527279,142,0.001518799371036384272815045193,128,7186,0.460443256817000379221838102239,250,5,3,leaky_relu,1
328,1762333959,12,76313c10-831d-43e7-a4b8-38ab472d921f,1762333971,1762336509,2538,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 145 --learning_rate 0.00139975505259183424 --batch_size 143 --hidden_size 5370 --dropout 0.58842658577592055202 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c143,1218046,328_0,COMPLETED,BOTORCH_MODULAR,72.310000000000002273736754432321,145,0.001399755052591834239214541036,143,5370,0.588426585775920552023876552994,250,5,3,leaky_relu,1
329,1762333960,17,76313c10-831d-43e7-a4b8-38ab472d921f,1762333977,1762336358,2381,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 123 --learning_rate 0.00086724829354008974 --batch_size 88 --hidden_size 6916 --dropout 0.49501957245847172384 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1218054,329_0,COMPLETED,BOTORCH_MODULAR,72.069999999999993178789736703038,123,0.000867248293540089738515308504,88,6916,0.495019572458471723841455514048,250,5,4,leaky_relu,1
330,1762333959,8,76313c10-831d-43e7-a4b8-38ab472d921f,1762333967,1762336244,2277,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 126 --learning_rate 0.00169712584622748594 --batch_size 139 --hidden_size 6139 --dropout 0.47715040824787163798 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c143,1218047,330_0,COMPLETED,BOTORCH_MODULAR,72.57999999999999829469743417576,126,0.001697125846227485936740242423,139,6139,0.477150408247871637978931858015,250,5,3,leaky_relu,1
331,1762333961,11,76313c10-831d-43e7-a4b8-38ab472d921f,1762333972,1762337166,3194,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 147 --learning_rate 0.00087519244042815565 --batch_size 59 --hidden_size 7272 --dropout 0.48890700143026777358 --filter 249 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1218058,331_0,COMPLETED,BOTORCH_MODULAR,72.269999999999996020960679743439,147,0.000875192440428155648407537726,59,7272,0.488907001430267773578464129969,249,5,4,leaky_relu,1
332,1762333959,10,76313c10-831d-43e7-a4b8-38ab472d921f,1762333969,1762336509,2540,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 145 --learning_rate 0.00187099794404105855 --batch_size 173 --hidden_size 5152 --dropout 0.54109384832194740156 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c143,1218048,332_0,COMPLETED,BOTORCH_MODULAR,70.17000000000000170530256582424,145,0.001870997944041058545089351028,173,5152,0.541093848321947401558418278,250,5,2,leaky_relu,1
333,1762333960,17,76313c10-831d-43e7-a4b8-38ab472d921f,1762333977,1762336726,2749,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 152 --learning_rate 0.00143368562828600664 --batch_size 123 --hidden_size 6156 --dropout 0.57534729131524264822 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c139,1218052,333_0,COMPLETED,BOTORCH_MODULAR,72.629999999999995452526491135359,152,0.001433685628286006635140337195,123,6156,0.575347291315242648224170807225,250,5,3,leaky_relu,1
334,1762333960,12,76313c10-831d-43e7-a4b8-38ab472d921f,1762333972,1762336378,2406,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 137 --learning_rate 0.00129851917886589924 --batch_size 164 --hidden_size 7437 --dropout 0.59423913902073632887 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c136,1218056,334_0,COMPLETED,BOTORCH_MODULAR,72.57999999999999829469743417576,137,0.001298519178865899237340642003,164,7437,0.594239139020736328866689746064,250,5,3,leaky_relu,1
335,1762333960,7,76313c10-831d-43e7-a4b8-38ab472d921f,1762333967,1762336520,2553,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 137 --learning_rate 0.00129844305619977165 --batch_size 129 --hidden_size 7980 --dropout 0.53468884915622083565 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c140,1218050,335_0,COMPLETED,BOTORCH_MODULAR,72.159999999999996589394868351519,137,0.00129844305619977165230927163,129,7980,0.53468884915622083564556987767,250,5,3,leaky_relu,1
336,1762333975,12,76313c10-831d-43e7-a4b8-38ab472d921f,1762333987,1762336635,2648,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 139 --learning_rate 0.00148838196529038516 --batch_size 113 --hidden_size 7799 --dropout 0.40658307107220387211 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c143,1218062,336_0,COMPLETED,BOTORCH_MODULAR,72.129999999999995452526491135359,139,0.001488381965290385159847441621,113,7799,0.406583071072203872109440681015,250,5,3,leaky_relu,1
337,1762333975,13,76313c10-831d-43e7-a4b8-38ab472d921f,1762333988,1762336516,2528,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 144 --learning_rate 0.00136263861358116569 --batch_size 168 --hidden_size 7014 --dropout 0.59795669968445708253 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c128,1218063,337_0,COMPLETED,BOTORCH_MODULAR,72.980000000000003979039320256561,144,0.001362638613581165693972030439,168,7014,0.597956699684457082533128868818,250,5,3,leaky_relu,1
338,1762333977,12,76313c10-831d-43e7-a4b8-38ab472d921f,1762333989,1762335790,1801,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 71 --learning_rate 0.00090192167308192404 --batch_size 39 --hidden_size 6520 --dropout 0.55368799341720653651 --filter 209 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c127,1218065,338_0,COMPLETED,BOTORCH_MODULAR,71.32999999999999829469743417576,71,0.000901921673081924044935997475,39,6520,0.55368799341720653650611438934,209,5,4,leaky_relu,1
339,1762333975,12,76313c10-831d-43e7-a4b8-38ab472d921f,1762333987,1762336522,2535,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 143 --learning_rate 0.00126574586469647889 --batch_size 167 --hidden_size 7921 --dropout 0.57660053143171119405 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c127,1218064,339_0,COMPLETED,BOTORCH_MODULAR,72.489999999999994884092302527279,143,0.001265745864696478893696163226,167,7921,0.576600531431711194052525115694,250,5,3,leaky_relu,1
340,1762337532,457,76313c10-831d-43e7-a4b8-38ab472d921f,1762337989,1762340559,2570,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 147 --learning_rate 0.00100677937806743908 --batch_size 179 --hidden_size 3709 --dropout 0.44190746128346425348 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c81,1219154,340_0,COMPLETED,BOTORCH_MODULAR,73.260000000000005115907697472721,147,0.001006779378067439081195777462,179,3709,0.441907461283464253476438443613,250,5,3,leaky_relu,1
341,1762337531,392,76313c10-831d-43e7-a4b8-38ab472d921f,1762337923,1762340837,2914,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 152 --learning_rate 0.00070632999499229093 --batch_size 133 --hidden_size 7479 --dropout 0.42904939617737825053 --filter 243 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c93,1219147,341_0,COMPLETED,BOTORCH_MODULAR,73.450000000000002842170943040401,152,0.000706329994992290930919121017,133,7479,0.429049396177378250527567615791,243,5,3,leaky_relu,1
342,1762337531,177,76313c10-831d-43e7-a4b8-38ab472d921f,1762337708,1762341480,3772,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00212235918165994001 --batch_size 256 --hidden_size 892 --dropout 0.5999999999999999778 --filter 220 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c90,1219145,342_0,COMPLETED,BOTORCH_MODULAR,70.89000000000000056843418860808,250,0.002122359181659940006309250649,256,892,0.599999999999999977795539507497,220,5,4,leaky_relu,1
343,1762337532,529,76313c10-831d-43e7-a4b8-38ab472d921f,1762338061,1762341493,3432,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 176 --learning_rate 0.00063751318051854741 --batch_size 139 --hidden_size 5017 --dropout 0.41974050431781539938 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c54,1219155,343_0,COMPLETED,BOTORCH_MODULAR,73.299999999999997157829056959599,176,0.000637513180518547409487972732,139,5017,0.419740504317815399382141094975,250,5,3,leaky_relu,1
344,1762337531,392,76313c10-831d-43e7-a4b8-38ab472d921f,1762337923,1762341631,3708,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 250 --learning_rate 0.00183037534156640556 --batch_size 256 --hidden_size 4941 --dropout 0.5999999999999999778 --filter 206 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c47,1219150,344_0,COMPLETED,BOTORCH_MODULAR,71.200000000000002842170943040401,250,0.001830375341566405555590590915,256,4941,0.599999999999999977795539507497,206,5,4,leaky_relu,1
345,1762337533,673,76313c10-831d-43e7-a4b8-38ab472d921f,1762338206,1762340856,2650,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 120 --learning_rate 0.00014213841770096969 --batch_size 62 --hidden_size 3503 --dropout 0.40948624062915334187 --filter 219 --num_conv_layers 5 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c79,1219157,345_0,COMPLETED,BOTORCH_MODULAR,70.950000000000002842170943040401,120,0.000142138417700969692204424066,62,3503,0.40948624062915334187451321668,219,5,3,relu,1
346,1762337531,113,76313c10-831d-43e7-a4b8-38ab472d921f,1762337644,1762340291,2647,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 118 --learning_rate 0.00024587994969332632 --batch_size 64 --hidden_size 3147 --dropout 0.40451802580588197555 --filter 249 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c95,1219143,346_0,COMPLETED,BOTORCH_MODULAR,73.120000000000004547473508864641,118,0.00024587994969332632125974536,64,3147,0.404518025805881975554001428463,249,5,3,leaky_relu,1
347,1762337531,272,76313c10-831d-43e7-a4b8-38ab472d921f,1762337803,1762340430,2627,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 148 --learning_rate 0.00083437006535455095 --batch_size 189 --hidden_size 3752 --dropout 0.44525295721348534528 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c42,1219146,347_0,COMPLETED,BOTORCH_MODULAR,73,148,0.000834370065354550949528189552,189,3752,0.445252957213485345278058957774,250,5,3,leaky_relu,1
348,1762337533,421,76313c10-831d-43e7-a4b8-38ab472d921f,1762337954,1762340592,2638,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 88 --learning_rate 0.00024144167712059392 --batch_size 36 --hidden_size 5891 --dropout 0.55248076755255459691 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c28,1219153,348_0,COMPLETED,BOTORCH_MODULAR,73.379999999999995452526491135359,88,0.000241441677120593923677044357,36,5891,0.552480767552554596910852069414,250,5,3,leaky_relu,1
349,1762337531,99,76313c10-831d-43e7-a4b8-38ab472d921f,1762337630,1762341012,3382,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 140 --learning_rate 0.00029033191705483518 --batch_size 53 --hidden_size 5738 --dropout 0.39518632630905564662 --filter 219 --num_conv_layers 5 --activation relu --pool_kernel 3 --num_dense_layers 1 --dense_activation relu,0,,c80,1219142,349_0,COMPLETED,BOTORCH_MODULAR,72.120000000000004547473508864641,140,0.000290331917054835182516459025,53,5738,0.395186326309055646621715141009,219,5,3,relu,1
350,1762337531,122,76313c10-831d-43e7-a4b8-38ab472d921f,1762337653,1762340350,2697,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 157 --learning_rate 0.00132616545249430464 --batch_size 212 --hidden_size 1934 --dropout 0.50392907656023422369 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c84,1219144,350_0,COMPLETED,BOTORCH_MODULAR,72.739999999999994884092302527279,157,0.001326165452494304638694777587,212,1934,0.50392907656023422369173658808,250,5,3,leaky_relu,1
351,1762337532,482,76313c10-831d-43e7-a4b8-38ab472d921f,1762338014,1762341981,3967,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 211 --learning_rate 0.0003672683549344157 --batch_size 99 --hidden_size 4807 --dropout 0.40175907325119641911 --filter 246 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c149,1219156,351_0,COMPLETED,BOTORCH_MODULAR,72.540000000000006252776074688882,211,0.000367268354934415701493893858,99,4807,0.401759073251196419107600377174,246,5,3,leaky_relu,1
352,1762337532,391,76313c10-831d-43e7-a4b8-38ab472d921f,1762337923,1762340493,2570,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 149 --learning_rate 0.00149084716975624596 --batch_size 160 --hidden_size 6403 --dropout 0 --filter 234 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c89,1219148,352_0,COMPLETED,BOTORCH_MODULAR,70.069999999999993178789736703038,149,0.001490847169756245958055496104,160,6403,0,234,6,2,leaky_relu,1
353,1762337533,420,76313c10-831d-43e7-a4b8-38ab472d921f,1762337953,1762340268,2315,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 101 --learning_rate 0.0001 --batch_size 52 --hidden_size 4776 --dropout 0.27412173452575638866 --filter 198 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c36,1219152,353_0,COMPLETED,BOTORCH_MODULAR,68.989999999999994884092302527279,101,0.000100000000000000004792173602,52,4776,0.274121734525756388656247963809,198,5,3,leaky_relu,1
354,1762337532,421,76313c10-831d-43e7-a4b8-38ab472d921f,1762337953,1762341486,3533,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 228 --learning_rate 0.00159107559402437543 --batch_size 242 --hidden_size 2109 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 4 --num_dense_layers 1 --dense_activation leaky_relu,0,,c82,1219151,354_0,COMPLETED,BOTORCH_MODULAR,71.64000000000000056843418860808,228,0.001591075594024375433263585045,242,2109,0.599999999999999977795539507497,250,5,4,leaky_relu,1
355,,,,,,,,,,,,355_0,FAILED,BOTORCH_MODULAR,,210,0.000632865281458623802138263592,16,6756,0,193,6,2,leaky_relu,1
356,1762337548,651,76313c10-831d-43e7-a4b8-38ab472d921f,1762338199,1762342246,4047,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 243 --learning_rate 0.00165135533467975415 --batch_size 186 --hidden_size 5868 --dropout 0 --filter 250 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c77,1219158,356_0,COMPLETED,BOTORCH_MODULAR,69.03000000000000113686837721616,243,0.001651355334679754146426367001,186,5868,0,250,6,2,leaky_relu,1
357,1762337548,1156,76313c10-831d-43e7-a4b8-38ab472d921f,1762338704,1762341146,2442,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 160 --learning_rate 0.00092098529041148233 --batch_size 178 --hidden_size 3946 --dropout 0.43128244786838965119 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c128,1219160,357_0,COMPLETED,BOTORCH_MODULAR,72.67000000000000170530256582424,160,0.000920985290411482329826775572,178,3946,0.431282447868389651191023403953,250,5,3,leaky_relu,1
358,1762337548,1186,76313c10-831d-43e7-a4b8-38ab472d921f,1762338734,1762341046,2312,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 144 --learning_rate 0.00073498137210051718 --batch_size 175 --hidden_size 7277 --dropout 0.4328600649242704268 --filter 235 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c106,1219161,358_0,COMPLETED,BOTORCH_MODULAR,72.879999999999995452526491135359,144,0.000734981372100517176167155942,175,7277,0.432860064924270426800489985908,235,5,3,leaky_relu,1
359,1762337548,886,76313c10-831d-43e7-a4b8-38ab472d921f,1762338434,1762341631,3197,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 199 --learning_rate 0.00140661580866140016 --batch_size 139 --hidden_size 4256 --dropout 0 --filter 225 --num_conv_layers 6 --activation leaky_relu --pool_kernel 2 --num_dense_layers 1 --dense_activation leaky_relu,0,,c149,1219159,359_0,COMPLETED,BOTORCH_MODULAR,70.17000000000000170530256582424,199,0.001406615808661400160786691949,139,4256,0,225,6,2,leaky_relu,1
360,,,,,,,,,,,,360_0,RUNNING,BOTORCH_MODULAR,,112,0.000452944527557524838357050356,69,7668,0.580055435206754843591170356376,250,5,3,leaky_relu,1
361,1762345685,105,76313c10-831d-43e7-a4b8-38ab472d921f,1762345790,1762347857,2067,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 117 --learning_rate 0.00055131869356935806 --batch_size 113 --hidden_size 6855 --dropout 0.55396457930374365386 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c107,1220332,361_0,COMPLETED,BOTORCH_MODULAR,72.659999999999996589394868351519,117,0.000551318693569358055789342288,113,6855,0.553964579303743653859726236988,250,5,3,leaky_relu,1
362,1762345686,104,76313c10-831d-43e7-a4b8-38ab472d921f,1762345790,1762347827,2037,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 123 --learning_rate 0.00061526529316800369 --batch_size 130 --hidden_size 5035 --dropout 0.58042204249798479143 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c5,1220341,362_0,COMPLETED,BOTORCH_MODULAR,73.14000000000000056843418860808,123,0.000615265293168003692993173193,130,5035,0.580422042497984791431520079641,250,5,3,leaky_relu,1
363,1762345685,105,76313c10-831d-43e7-a4b8-38ab472d921f,1762345790,1762347955,2165,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 133 --learning_rate 0.00057504284415032896 --batch_size 169 --hidden_size 7194 --dropout 0.56806165385645690513 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1220330,363_0,COMPLETED,BOTORCH_MODULAR,73.07999999999999829469743417576,133,0.000575042844150328957657236639,169,7194,0.56806165385645690513172212377,250,5,3,leaky_relu,1
364,,,,,,,,,,,,364_0,RUNNING,BOTORCH_MODULAR,,146,0.000555377780013330637522150912,160,7235,0.584297982002928706357636201574,250,5,3,leaky_relu,1
365,1762345685,105,76313c10-831d-43e7-a4b8-38ab472d921f,1762345790,1762348084,2294,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 143 --learning_rate 0.0006049969370104651 --batch_size 159 --hidden_size 5026 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c106,1220334,365_0,COMPLETED,BOTORCH_MODULAR,72.400000000000005684341886080801,143,0.000604996937010465101261513787,159,5026,0.599999999999999977795539507497,250,5,3,leaky_relu,1
366,1762345687,103,76313c10-831d-43e7-a4b8-38ab472d921f,1762345790,1762347321,1531,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 83 --learning_rate 0.00057328632016809473 --batch_size 104 --hidden_size 7806 --dropout 0.59999998879364668802 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c5,1220343,366_0,COMPLETED,BOTORCH_MODULAR,73.46999999999999886313162278384,83,0.000573286320168094726788809989,104,7806,0.599999988793646688023386559507,250,5,3,leaky_relu,1
367,1762345686,104,76313c10-831d-43e7-a4b8-38ab472d921f,1762345790,1762347182,1392,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 90 --learning_rate 0.0006310321834123025 --batch_size 163 --hidden_size 3228 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c42,1220336,367_0,COMPLETED,BOTORCH_MODULAR,73.46999999999999886313162278384,90,0.000631032183412302502024948669,163,3228,0.599999999999999977795539507497,250,5,3,leaky_relu,1
368,,,,,,,,,,,,368_0,RUNNING,BOTORCH_MODULAR,,144,0.000569655563987210632019564382,156,7495,0.551912315739139347492425713426,250,5,3,leaky_relu,1
369,1762345687,133,76313c10-831d-43e7-a4b8-38ab472d921f,1762345820,1762348135,2315,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 141 --learning_rate 0.00055916723084120038 --batch_size 164 --hidden_size 7508 --dropout 0.57172832072194867958 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c77,1220352,369_0,COMPLETED,BOTORCH_MODULAR,73.209999999999993747223925311118,141,0.000559167230841200383999189949,164,7508,0.571728320721948679583590546827,250,5,3,leaky_relu,1
370,1762345685,107,76313c10-831d-43e7-a4b8-38ab472d921f,1762345792,1762347742,1950,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 113 --learning_rate 0.00055699499803072122 --batch_size 129 --hidden_size 6719 --dropout 0.56934858961433731928 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c131,1220331,370_0,COMPLETED,BOTORCH_MODULAR,72.89000000000000056843418860808,113,0.000556994998030721217945060442,129,6719,0.56934858961433731927570534026,250,5,3,leaky_relu,1
371,,,,,,,,,,,,371_0,RUNNING,BOTORCH_MODULAR,,129,0.000592353137187797361938590424,116,5727,0.544181247109942867190568449587,250,5,3,leaky_relu,1
372,,,,,,,,,,,,372_0,RUNNING,BOTORCH_MODULAR,,144,0.000569362984141218620055824307,158,7520,0.543832814116242291291314359114,250,5,3,leaky_relu,1
373,,,,,,,,,,,,373_0,RUNNING,BOTORCH_MODULAR,,145,0.000455596014139840455297453259,49,7058,0.573371268100575481874159322615,250,5,3,leaky_relu,1
374,1762345688,132,76313c10-831d-43e7-a4b8-38ab472d921f,1762345820,1762347929,2109,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 130 --learning_rate 0.00059780587763197889 --batch_size 159 --hidden_size 6425 --dropout 0.58164623319277908298 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c39,1220357,374_0,COMPLETED,BOTORCH_MODULAR,73.379999999999995452526491135359,130,0.000597805877631978890493491541,159,6425,0.581646233192779082976642257563,250,5,3,leaky_relu,1
375,1762345687,134,76313c10-831d-43e7-a4b8-38ab472d921f,1762345821,1762348065,2244,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 137 --learning_rate 0.00058647668908732014 --batch_size 166 --hidden_size 6760 --dropout 0.58201753414628587535 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c133,1220347,375_0,COMPLETED,BOTORCH_MODULAR,72.89000000000000056843418860808,137,0.000586476689087320137046266399,166,6760,0.582017534146285875351622962626,250,5,3,leaky_relu,1
376,,,,,,,,,,,,376_0,RUNNING,BOTORCH_MODULAR,,113,0.000429136313554305288010121133,64,6394,0.570466013159512508323700785695,250,5,3,relu,1
377,,,,,,,,,,,,377_0,RUNNING,BOTORCH_MODULAR,,176,0.000562038002478601472766683855,76,3905,0.580761615338980186074024913978,250,5,3,leaky_relu,1
378,,,,,,,,,,,,378_0,RUNNING,BOTORCH_MODULAR,,145,0.000591741558216952925203235836,159,6756,0.577845717367128752783855816233,250,5,3,leaky_relu,1
379,1762345704,267,76313c10-831d-43e7-a4b8-38ab472d921f,1762345971,1762348004,2033,python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 130 --learning_rate 0.00068128155361974418 --batch_size 133 --hidden_size 2647 --dropout 0.5999999999999999778 --filter 250 --num_conv_layers 5 --activation leaky_relu --pool_kernel 3 --num_dense_layers 1 --dense_activation leaky_relu,0,,c93,1220367,379_0,COMPLETED,BOTORCH_MODULAR,72.799999999999997157829056959599,130,0.000681281553619744175906425276,133,2647,0.599999999999999977795539507497,250,5,3,leaky_relu,1
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
⚠ Job 1217444 (task: 0) with path /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217444/1217444_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217444/1217444_0_log.out
----------------------------------------
submitit INFO (2025-11-05 00:40:42,755) - Starting with JobEnvironment(job_id=1217444, hostname=c6, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-11-05 00:40:42,757) - Loading pickle: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217444/1217444_submitted.pkl
Trial-Index: 161
slurmstepd: error: *** JOB 1217444 ON c6 CANCELLED AT 2025-11-05T02:41:03 DUE TO TIME LIMIT ***
⚠ Job 1217596 (task: 0) with path /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217596/1217596_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217596/1217596_0_log.out
----------------------------------------
submitit INFO (2025-11-05 03:46:44,675) - Starting with JobEnvironment(job_id=1217596, hostname=c71, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-11-05 03:46:44,679) - Loading pickle: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217596/1217596_submitted.pkl
Trial-Index: 204
slurmstepd: error: *** JOB 1217596 ON c71 CANCELLED AT 2025-11-05T05:47:07 DUE TO TIME LIMIT ***
⚠ Job 1219149 (task: 0) with path /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1219149/1219149_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1219149/1219149_0_log.out
----------------------------------------
submitit INFO (2025-11-05 11:18:42,016) - Starting with JobEnvironment(job_id=1219149, hostname=c85, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-11-05 11:18:42,018) - Loading pickle: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1219149/1219149_submitted.pkl
Trial-Index: 355
slurmstepd: error: *** JOB 1219149 ON c85 CANCELLED AT 2025-11-05T13:18:42 DUE TO TIME LIMIT ***
To cancel, press CTRL c, then run 'scancel 1216047'
⠋ Importing logging...
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⠋ Importing rich.pretty...
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⠋ Importing rich.prompt...
⠋ Importing types.FunctionType...
⠋ Importing typing...
⠋ Importing ThreadPoolExecutor...
⠋ Importing submitit.LocalExecutor...
⠋ Importing submitit.Job...
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⠋ Importing inspect frame info...
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⠋ Importing itertools.combinations...
⠋ Importing os.listdir...
⠋ Importing os.path...
⠋ Importing PIL.Image...
⠋ Importing sixel...
⠋ Importing subprocess...
⠋ Importing tqdm...
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⠋ Importing statistics...
⠋ Trying to import pyfiglet...
⠋ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠹ Importing torch...
⠋ Importing numpy...
[WARNING 11-04 14:08:36] ax.service.utils.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
⠸ Importing ax...
⠋ Importing ax.core.generator_run...
⠋ Importing Cont_X_trans and Y_trans from ax.adapter.registry...
⠋ Importing ax.core.arm...
⠋ Importing ax.core.objective...
⠋ Importing ax.core.Metric...
⠋ Importing ax.exceptions.core...
⠋ Importing ax.exceptions.generation_strategy...
⠋ Importing CORE_DECODER_REGISTRY...
⠋ Trying ax.generation_strategy.generation_node...
⠋ Importing GenerationStep, GenerationStrategy from generation_strategy...
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⠋ Importing GeneratorSpec...
⠋ Importing Models from ax.generation_strategy.registry...
⠋ Importing get_pending_observation_features...
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⠋ Importing save_experiment...
⠋ Importing save_experiment_to_db...
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⠋ Importing Data...
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⠋ Importing parameter types...
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⠋ Importing pandas...
⠋ Importing AxClient and ObjectiveProperties...
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⠋ Importing botorch...
⠋ Importing submitit...
⠋ Importing ax logger...
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Run-UUID: 0cbe707d-41b5-4259-afb1-0b6fe6ce0249
___________________________________________
| OmniOpt2 - Hyperparam magic, just add data! |
===========================================
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⠋ Writing worker creation log...
omniopt --partition=alpha --experiment_name=mnist_mono_with_swiglu_with_both_activations --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=cHl0aG9uMyAvZGF0YS9ob3JzZS93cy9zMzgxMTE0MS1vbW5pb3B0X21uaXN0X3Rlc3RfY2FsbC9vbW5pb3B0Ly50ZXN0cy9tbmlzdC90cmFpbiAtLWVwb2NocyAlZXBvY2hzIC0tbGVhcm5pbmdfcmF0ZSAlbHIgLS1iYXRjaF9zaXplICViYXRjaF9zaXplIC0taGlkZGVuX3NpemUgJWhpZGRlbl9zaXplIC0tZHJvcG91dCAlZHJvcG91dCAtLWZpbHRlciAlKGZpbHRlcikgLS1udW1fY29udl9sYXllcnMgJShudW1fY29udl9sYXllcnMpIC0tYWN0aXZhdGlvbiAlYWN0aXZhdGlvbiAtLXBvb2xfa2VybmVsICVwb29sX2tlcm5lbCAtLW51bV9kZW5zZV9sYXllcnMgJW51bV9kZW5zZV9sYXllcnMgLS1kZW5zZV9hY3RpdmF0aW9uICVhY3RpdmF0aW9uCg== --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 50 250 int false --parameter lr range 0.0001 0.003 float false --parameter batch_size range 8 256 int false --parameter hidden_size range 500 8000 int false --parameter dropout range 0 0.6 float false --parameter num_dense_layers fixed 1 --parameter filter range 20 250 int false --parameter num_conv_layers range 4 6 int false --parameter pool_kernel range 1 4 int false --parameter activation choice relu,tanh,leaky_relu,sigmoid,swiglu
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
⠋ Saving state files...
Run-folder: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠸ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=s3811141&experiment_name=mnist_mono_with_swiglu_with_both_activations&run_nr=0 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 --filter %(filter) --num_conv_layers %(num_conv_layers) --activation %activation --pool_kernel %pool_kernel --num_dense_layers %num_dense_layers --dense_activation %activation
Experiment parameters
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ epochs │ range │ 50 │ 250 │ │ int │ No │
│ lr │ range │ 0.0001 │ 0.003 │ │ float │ No │
│ batch_size │ range │ 8 │ 256 │ │ int │ No │
│ hidden_size │ range │ 500 │ 8000 │ │ int │ No │
│ dropout │ range │ 0 │ 0.6 │ │ float │ No │
│ num_dense_layers │ fixed │ │ │ 1 │ │ │
│ filter │ range │ 20 │ 250 │ │ int │ No │
│ num_conv_layers │ range │ 4 │ 6 │ │ int │ No │
│ pool_kernel │ range │ 1 │ 4 │ │ int │ No │
│ activation │ choice │ │ │ relu, tanh, leaky_relu, sigmoid, swiglu │ │ │
└──────────────────┴────────┴─────────────┴─────────────┴─────────────────────────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ VAL_ACC │ max │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 2/1 = ∑3/20, started new job : 4%|░░░░░░░░░░| 40/1000 [3:04:23<20:27:11, 76.70s/it]sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
BOTORCH_MODULAR, best VAL_ACC: 72.38, pending 3 = ∑3/20, starting new job : 4%|░░░░░░░░░░| 40/1000 [3:04:27<20:27:11, 76.70s/it]sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
sbatch: error: Batch job submission failed: Unexpected message received
⚠ FAILED: sbatch: error: Batch job submission failed: Unexpected message received
BOTORCH_MODULAR, best VAL_ACC: 72.73, running 1 = ∑1/20, waiting for 1 job : 17%|█▒░░░░░░░░| 166/1000 [11:41:23<31:46:32, 137.16s/it]
⚠ Job 1217444 (task: 0) with path /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217444/1217444_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217444/1217444_0_log.out
----------------------------------------
submitit INFO (2025-11-05 00:40:42,755) - Starting with JobEnvironment(job_id=1217444, hostname=c6, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-11-05 00:40:42,757) - Loading pickle: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217444/1217444_submitted.pkl
Trial-Index: 161
slurmstepd: error: *** JOB 1217444 ON c6 CANCELLED AT 2025-11-05T02:41:03 DUE TO TIME LIMIT ***
BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 1 = ∑1/20, waiting for 1 job : 20%|██░░░░░░░░| 205/1000 [15:04:06<86:24:33, 391.29s/it]
⚠ Job 1217596 (task: 0) with path /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217596/1217596_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217596/1217596_0_log.out
----------------------------------------
submitit INFO (2025-11-05 03:46:44,675) - Starting with JobEnvironment(job_id=1217596, hostname=c71, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-11-05 03:46:44,679) - Loading pickle: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1217596/1217596_submitted.pkl
Trial-Index: 204
slurmstepd: error: *** JOB 1217596 ON c71 CANCELLED AT 2025-11-05T05:47:07 DUE TO TIME LIMIT ***
BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 1 = ∑1/20, waiting for 1 job : 34%|███░░░░░░░| 344/1000 [22:22:27<28:59:05, 159.06s/it]
⚠ Job 1219149 (task: 0) with path /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1219149/1219149_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1219149/1219149_0_log.out
----------------------------------------
submitit INFO (2025-11-05 11:18:42,016) - Starting with JobEnvironment(job_id=1219149, hostname=c85, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-11-05 11:18:42,018) - Loading pickle: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1219149/1219149_submitted.pkl
Trial-Index: 355
slurmstepd: error: *** JOB 1219149 ON c85 CANCELLED AT 2025-11-05T13:18:42 DUE TO TIME LIMIT ***
BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 10 = ∑10/20, new result: VAL_ACC: 73.210000 : 36%|███▒░░░░░░| 355/1000 [24:00:12<17:07:54, 95.62s/it]
2025-11-04 14:08:44 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, Started OmniOpt2 run...
2025-11-04 14:08:45 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #1/20
2025-11-04 14:08:45 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #2/20
2025-11-04 14:08:45 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #3/20
2025-11-04 14:08:46 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #4/20
2025-11-04 14:08:46 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #5/20
2025-11-04 14:08:46 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #6/20
2025-11-04 14:08:46 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #7/20
2025-11-04 14:08:46 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #8/20
2025-11-04 14:08:46 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #9/20
2025-11-04 14:08:47 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #10/20
2025-11-04 14:08:48 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #11/20
2025-11-04 14:08:48 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #12/20
2025-11-04 14:08:48 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #13/20
2025-11-04 14:08:48 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #14/20
2025-11-04 14:08:48 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #15/20
2025-11-04 14:08:48 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #16/20
2025-11-04 14:08:49 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #17/20
2025-11-04 14:08:49 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #18/20
2025-11-04 14:08:49 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #19/20
2025-11-04 14:08:49 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, getting new HP set #20/20
2025-11-04 14:08:49 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, requested 20 jobs, got 20, 0.22 s/job
2025-11-04 14:08:56 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #1/20 start
2025-11-04 14:08:56 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #2/20 start
2025-11-04 14:08:58 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #3/20 start
2025-11-04 14:08:59 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #4/20 start
2025-11-04 14:08:59 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #5/20 start
2025-11-04 14:09:00 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #6/20 start
2025-11-04 14:09:00 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #7/20 start
2025-11-04 14:09:00 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #8/20 start
2025-11-04 14:09:01 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #9/20 start
2025-11-04 14:09:01 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #10/20 start
2025-11-04 14:09:02 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #11/20 start
2025-11-04 14:09:02 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #12/20 start
2025-11-04 14:09:03 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #13/20 start
2025-11-04 14:09:04 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #14/20 start
2025-11-04 14:09:04 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #15/20 start
2025-11-04 14:09:05 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #16/20 start
2025-11-04 14:09:06 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #17/20 start
2025-11-04 14:09:06 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #18/20 start
2025-11-04 14:09:06 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #19/20 start
2025-11-04 14:09:07 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, eval #20/20 start
2025-11-04 14:09:08 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, starting new job
2025-11-04 14:09:08 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, unknown 2 = ∑2/20, starting new job
2025-11-04 14:09:08 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, unknown 2 = ∑2/20, started new job
2025-11-04 14:09:08 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, unknown 2 = ∑2/20, starting new job
2025-11-04 14:09:08 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, unknown 2 = ∑2/20, started new job
2025-11-04 14:09:08 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, unknown 2 = ∑2/20, starting new job
2025-11-04 14:09:13 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, pending/unknown 2/1 = ∑3/20, started new job
2025-11-04 14:09:13 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, pending/unknown 2/1 = ∑3/20, starting new job
2025-11-04 14:09:18 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, pending/unknown 3/1 = ∑4/20, started new job
2025-11-04 14:09:18 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, pending/unknown 3/1 = ∑4/20, starting new job
2025-11-04 14:09:23 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/1/1 = ∑5/20, started new job
2025-11-04 14:09:23 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/1/2 = ∑6/20, started new job
2025-11-04 14:09:28 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/3/1 = ∑7/20, started new job
2025-11-04 14:09:28 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/3/2 = ∑8/20, started new job
2025-11-04 14:09:33 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/5/1 = ∑9/20, started new job
2025-11-04 14:09:33 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/5/2 = ∑10/20, started new job
2025-11-04 14:09:38 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/7/2 = ∑12/20, started new job
2025-11-04 14:09:38 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/7/3 = ∑13/20, started new job
2025-11-04 14:09:43 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/10/1 = ∑14/20, started new job
2025-11-04 14:09:44 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/10/2 = ∑15/20, started new job
2025-11-04 14:09:44 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/10/3 = ∑16/20, started new job
2025-11-04 14:09:48 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/13/1 = ∑17/20, started new job
2025-11-04 14:09:49 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/13/2 = ∑18/20, started new job
2025-11-04 14:09:49 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/13/3 = ∑19/20, started new job
2025-11-04 14:09:53 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/16/1 = ∑20/20, started new job
2025-11-04 14:09:54 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending/unknown 3/16/1 = ∑20/20, waiting for 20 jobs
2025-11-04 14:09:56 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending 3/17 = ∑20/20, waiting for 20 jobs
2025-11-04 14:11:33 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending 7/13 = ∑20/20, waiting for 20 jobs
2025-11-04 14:13:13 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending 12/8 = ∑20/20, waiting for 20 jobs
2025-11-04 14:16:34 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-11-04 14:22:24 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, running/pending 19/1 = ∑20/20, new result: VAL_ACC: 65.770000
2025-11-04 14:22:26 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running/pending 18/1 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-04 14:22:26 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running/pending 18/1 = ∑19/20, waiting for 19 jobs
2025-11-04 14:23:15 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running 19 = ∑19/20, waiting for 19 jobs
2025-11-04 14:26:08 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running 19 = ∑19/20, new result: VAL_ACC: 49.270000
2025-11-04 14:26:11 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-04 14:26:11 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running 18 = ∑18/20, waiting for 18 jobs
2025-11-04 14:31:38 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running 18 = ∑18/20, new result: VAL_ACC: 65.730000
2025-11-04 14:31:41 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-04 14:31:41 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running 17 = ∑17/20, waiting for 17 jobs
2025-11-04 14:34:10 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 65.77, running 17 = ∑17/20, new result: VAL_ACC: 67.350000
2025-11-04 14:34:15 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-04 14:34:15 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 16 = ∑16/20, waiting for 16 jobs
2025-11-04 14:34:28 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 16 = ∑16/20, new result: VAL_ACC: 55.470000
2025-11-04 14:34:30 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-04 14:34:30 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 15 = ∑15/20, waiting for 15 jobs
2025-11-04 14:37:36 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 15 = ∑15/20, new result: VAL_ACC: 50.890000
2025-11-04 14:37:41 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-04 14:37:41 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 14 = ∑14/20, waiting for 14 jobs
2025-11-04 14:40:10 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 14 = ∑14/20, new result: VAL_ACC: 65.330000
2025-11-04 14:40:13 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-04 14:40:13 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 13 = ∑13/20, waiting for 13 jobs
2025-11-04 14:42:15 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 13 = ∑13/20, new result: VAL_ACC: 53.350000
2025-11-04 14:42:20 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-04 14:42:20 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 12 = ∑12/20, waiting for 12 jobs
2025-11-04 14:45:39 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 12 = ∑12/20, new result: VAL_ACC: 54.920000
2025-11-04 14:45:43 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-04 14:45:43 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 11 = ∑11/20, waiting for 11 jobs
2025-11-04 14:46:06 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 11 = ∑11/20, new result: VAL_ACC: 65.060000
2025-11-04 14:46:09 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-04 14:46:09 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 10 = ∑10/20, waiting for 10 jobs
2025-11-04 14:49:18 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 67.35, running 10 = ∑10/20, new result: VAL_ACC: 71.450000
2025-11-04 14:49:20 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-04 14:49:20 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 9 = ∑9/20, waiting for 9 jobs
2025-11-04 14:52:02 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 9 = ∑9/20, new result: VAL_ACC: 64.970000
2025-11-04 14:52:05 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-04 14:52:05 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 8 = ∑8/20, waiting for 8 jobs
2025-11-04 14:53:28 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 8 = ∑8/20, new result: VAL_ACC: 70.280000
2025-11-04 14:53:30 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-04 14:53:30 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 7 = ∑7/20, waiting for 7 jobs
2025-11-04 14:59:50 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 7 = ∑7/20, new result: VAL_ACC: 58.300000
2025-11-04 14:59:54 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-04 14:59:54 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 6 = ∑6/20, waiting for 6 jobs
2025-11-04 15:01:34 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 6 = ∑6/20, new result: VAL_ACC: 61.040000
2025-11-04 15:01:39 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-04 15:01:39 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 5 = ∑5/20, waiting for 5 jobs
2025-11-04 15:06:00 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 5 = ∑5/20, new result: VAL_ACC: 69.680000
2025-11-04 15:06:03 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-04 15:06:03 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 4 = ∑4/20, waiting for 4 jobs
2025-11-04 15:06:05 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 4 = ∑4/20, new result: VAL_ACC: 62.780000
2025-11-04 15:06:09 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-04 15:06:11 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 3 = ∑3/20, waiting for 3 jobs
2025-11-04 15:06:51 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.45, running 3 = ∑3/20, new result: VAL_ACC: 71.550000
2025-11-04 15:06:54 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.55, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-04 15:06:54 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.55, running 2 = ∑2/20, waiting for 2 jobs
2025-11-04 15:08:13 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.55, running 2 = ∑2/20, new result: VAL_ACC: 66.560000
2025-11-04 15:08:18 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.55, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-04 15:08:18 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.55, running 1 = ∑1/20, waiting for 1 job
2025-11-04 16:04:06 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.55, running 1 = ∑1/20, new result: VAL_ACC: 42.710000
2025-11-04 16:04:09 (76313c10-831d-43e7-a4b8-38ab472d921f): SOBOL, best VAL_ACC: 71.55, waiting for 1 job, finished 1 job
2025-11-04 16:05:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #1/20
2025-11-04 16:05:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #2/20
2025-11-04 16:05:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #3/20
2025-11-04 16:05:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #4/20
2025-11-04 16:05:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #5/20
2025-11-04 16:05:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #6/20
2025-11-04 16:05:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #7/20
2025-11-04 16:05:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #8/20
2025-11-04 16:05:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #9/20
2025-11-04 16:05:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #10/20
2025-11-04 16:05:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #11/20
2025-11-04 16:05:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #12/20
2025-11-04 16:05:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #13/20
2025-11-04 16:05:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #14/20
2025-11-04 16:05:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #15/20
2025-11-04 16:05:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #16/20
2025-11-04 16:05:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #17/20
2025-11-04 16:05:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #18/20
2025-11-04 16:05:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #19/20
2025-11-04 16:05:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, getting new HP set #20/20
2025-11-04 16:05:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, requested 20 jobs, got 20, 3.12 s/job
2025-11-04 16:05:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #1/20 start
2025-11-04 16:05:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #2/20 start
2025-11-04 16:05:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #3/20 start
2025-11-04 16:05:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #4/20 start
2025-11-04 16:05:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #5/20 start
2025-11-04 16:05:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #6/20 start
2025-11-04 16:05:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #7/20 start
2025-11-04 16:05:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #8/20 start
2025-11-04 16:05:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #9/20 start
2025-11-04 16:05:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #10/20 start
2025-11-04 16:05:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #11/20 start
2025-11-04 16:05:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #12/20 start
2025-11-04 16:05:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #13/20 start
2025-11-04 16:05:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #14/20 start
2025-11-04 16:05:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #15/20 start
2025-11-04 16:05:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #16/20 start
2025-11-04 16:05:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #17/20 start
2025-11-04 16:05:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #18/20 start
2025-11-04 16:05:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #19/20 start
2025-11-04 16:05:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, eval #20/20 start
2025-11-04 16:05:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, starting new job
2025-11-04 16:05:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, unknown 2 = ∑2/20, started new job
2025-11-04 16:05:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, unknown 2 = ∑2/20, starting new job
2025-11-04 16:05:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 2/2 = ∑4/20, started new job
2025-11-04 16:05:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 2/2 = ∑4/20, starting new job
2025-11-04 16:05:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 4/2 = ∑6/20, started new job
2025-11-04 16:05:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 6/3 = ∑9/20, started new job
2025-11-04 16:05:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 9/1 = ∑10/20, started new job
2025-11-04 16:05:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 10/1 = ∑11/20, started new job
2025-11-04 16:05:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 11/1 = ∑12/20, started new job
2025-11-04 16:06:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 12/3 = ∑15/20, started new job
2025-11-04 16:06:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 15/2 = ∑17/20, started new job
2025-11-04 16:06:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 17/1 = ∑18/20, started new job
2025-11-04 16:06:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 18/2 = ∑20/20, started new job
2025-11-04 16:06:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending/unknown 18/2 = ∑20/20, waiting for 20 jobs
2025-11-04 16:06:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, pending 20 = ∑20/20, waiting for 20 jobs
2025-11-04 16:09:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, running/pending 8/12 = ∑20/20, waiting for 20 jobs
2025-11-04 16:13:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, running/pending 14/6 = ∑20/20, waiting for 20 jobs
2025-11-04 16:19:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, running 20 = ∑20/20, waiting for 20 jobs
2025-11-04 16:57:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, running 20 = ∑20/20, new result: VAL_ACC: 71.220000
2025-11-04 16:57:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-04 16:57:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, running 19 = ∑19/20, waiting for 19 jobs
2025-11-04 16:57:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 71.55, running 19 = ∑19/20, new result: VAL_ACC: 72.170000
2025-11-04 16:57:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-04 16:57:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 18 = ∑18/20, waiting for 18 jobs
2025-11-04 16:57:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 18 = ∑18/20, new result: VAL_ACC: 71.950000
2025-11-04 16:57:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-04 16:57:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 17 = ∑17/20, waiting for 17 jobs
2025-11-04 16:58:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 17 = ∑17/20, new result: VAL_ACC: 70.950000
2025-11-04 16:58:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-04 16:58:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 16 = ∑16/20, waiting for 16 jobs
2025-11-04 16:58:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 16 = ∑16/20, new result: VAL_ACC: 71.900000
2025-11-04 16:58:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-04 16:58:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 15 = ∑15/20, waiting for 15 jobs
2025-11-04 16:59:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 15 = ∑15/20, new result: VAL_ACC: 71.640000
2025-11-04 16:59:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-04 16:59:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 14 = ∑14/20, waiting for 14 jobs
2025-11-04 17:00:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 14 = ∑14/20, new result: VAL_ACC: 71.870000
2025-11-04 17:00:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-04 17:00:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 13 = ∑13/20, waiting for 13 jobs
2025-11-04 17:02:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 13 = ∑13/20, new result: VAL_ACC: 71.880000
2025-11-04 17:02:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-04 17:02:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 12 = ∑12/20, waiting for 12 jobs
2025-11-04 17:02:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 12 = ∑12/20, new result: VAL_ACC: 71.350000
2025-11-04 17:02:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-04 17:02:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 11 = ∑11/20, waiting for 11 jobs
2025-11-04 17:03:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 11 = ∑11/20, new result: VAL_ACC: 71.170000
2025-11-04 17:03:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-04 17:03:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 10 = ∑10/20, waiting for 10 jobs
2025-11-04 17:04:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 10 = ∑10/20, new result: VAL_ACC: 71.860000
2025-11-04 17:04:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-04 17:04:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 9 = ∑9/20, waiting for 9 jobs
2025-11-04 17:04:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 9 = ∑9/20, new result: VAL_ACC: 71.630000
2025-11-04 17:04:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-04 17:04:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 8 = ∑8/20, waiting for 8 jobs
2025-11-04 17:04:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 8 = ∑8/20, new result: VAL_ACC: 71.450000
2025-11-04 17:04:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-04 17:04:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 7 = ∑7/20, waiting for 7 jobs
2025-11-04 17:04:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 7 = ∑7/20, new result: VAL_ACC: 71.360000
2025-11-04 17:04:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-04 17:04:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 6 = ∑6/20, waiting for 6 jobs
2025-11-04 17:04:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 6 = ∑6/20, new result: VAL_ACC: 71.720000
2025-11-04 17:04:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-04 17:04:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 5 = ∑5/20, waiting for 5 jobs
2025-11-04 17:04:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.17, running 5 = ∑5/20, new result: VAL_ACC: 72.320000
2025-11-04 17:05:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.32, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-04 17:05:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.32, running 4 = ∑4/20, waiting for 4 jobs
2025-11-04 17:05:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.32, running 4 = ∑4/20, new result: VAL_ACC: 71.810000
2025-11-04 17:05:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.32, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-04 17:05:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.32, running 3 = ∑3/20, waiting for 3 jobs
2025-11-04 17:06:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.32, running 3 = ∑3/20, new result: VAL_ACC: 72.380000
2025-11-04 17:06:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-04 17:06:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 2 jobs
2025-11-04 17:07:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, new result: VAL_ACC: 71.860000
2025-11-04 17:07:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-04 17:07:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 1 job
2025-11-04 17:10:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, new result: VAL_ACC: 71.910000
2025-11-04 17:10:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, waiting for 1 job, finished 1 job
2025-11-04 17:11:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #1/20
2025-11-04 17:11:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #2/20
2025-11-04 17:11:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #3/20
2025-11-04 17:11:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #4/20
2025-11-04 17:11:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #5/20
2025-11-04 17:11:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #6/20
2025-11-04 17:11:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #7/20
2025-11-04 17:11:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #8/20
2025-11-04 17:11:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #9/20
2025-11-04 17:11:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #10/20
2025-11-04 17:11:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #11/20
2025-11-04 17:11:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #12/20
2025-11-04 17:11:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #13/20
2025-11-04 17:11:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #14/20
2025-11-04 17:11:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #15/20
2025-11-04 17:11:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #16/20
2025-11-04 17:11:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #17/20
2025-11-04 17:11:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #18/20
2025-11-04 17:11:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #19/20
2025-11-04 17:11:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #20/20
2025-11-04 17:11:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, requested 20 jobs, got 20, 3.62 s/job
2025-11-04 17:11:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #1/20 start
2025-11-04 17:11:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #2/20 start
2025-11-04 17:11:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #3/20 start
2025-11-04 17:11:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #4/20 start
2025-11-04 17:11:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #5/20 start
2025-11-04 17:11:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #6/20 start
2025-11-04 17:11:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #7/20 start
2025-11-04 17:11:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #8/20 start
2025-11-04 17:11:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #9/20 start
2025-11-04 17:11:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #10/20 start
2025-11-04 17:11:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #11/20 start
2025-11-04 17:11:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #12/20 start
2025-11-04 17:11:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #13/20 start
2025-11-04 17:11:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #14/20 start
2025-11-04 17:11:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #15/20 start
2025-11-04 17:11:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #16/20 start
2025-11-04 17:11:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #17/20 start
2025-11-04 17:11:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #18/20 start
2025-11-04 17:11:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #19/20 start
2025-11-04 17:11:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #20/20 start
2025-11-04 17:11:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, starting new job
2025-11-04 17:13:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 1 = ∑1/20, started new job
2025-11-04 17:13:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 1 = ∑1/20, starting new job
2025-11-04 17:13:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 2 = ∑2/20, started new job
2025-11-04 17:13:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 2 = ∑2/20, starting new job
2025-11-04 17:13:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 2/1 = ∑3/20, started new job
2025-11-04 17:13:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 2/1 = ∑3/20, starting new job
2025-11-04 17:13:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending 3 = ∑3/20, starting new job
2025-11-04 17:14:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/1 = ∑4/20, started new job
2025-11-04 17:14:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 4/1 = ∑5/20, started new job
2025-11-04 17:14:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 5/2 = ∑7/20, started new job
2025-11-04 17:14:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 5/2 = ∑7/20, waiting for 7 jobs
2025-11-04 17:14:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending 7 = ∑7/20, waiting for 7 jobs
2025-11-04 17:37:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, waiting for 7 jobs
2025-11-04 18:26:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, new result: VAL_ACC: 71.770000
2025-11-04 18:26:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-04 18:26:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 6 jobs
2025-11-04 18:27:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, new result: VAL_ACC: 72.270000
2025-11-04 18:27:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-04 18:27:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 5 jobs
2025-11-04 18:31:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, new result: VAL_ACC: 72.100000
2025-11-04 18:31:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, new result: VAL_ACC: 71.680000
2025-11-04 18:31:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-11-04 18:31:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, waiting for 3 jobs
2025-11-04 18:31:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, new result: VAL_ACC: 72.090000
2025-11-04 18:31:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-04 18:31:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 2 jobs
2025-11-04 18:31:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, new result: VAL_ACC: 71.920000
2025-11-04 18:31:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-04 18:31:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 1 job
2025-11-04 18:34:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, new result: VAL_ACC: 71.560000
2025-11-04 18:34:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, waiting for 1 job, finished 1 job
2025-11-04 18:35:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #1/20
2025-11-04 18:35:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #2/20
2025-11-04 18:35:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #3/20
2025-11-04 18:35:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #4/20
2025-11-04 18:35:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #5/20
2025-11-04 18:35:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #6/20
2025-11-04 18:35:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #7/20
2025-11-04 18:35:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #8/20
2025-11-04 18:35:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #9/20
2025-11-04 18:35:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #10/20
2025-11-04 18:35:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #11/20
2025-11-04 18:35:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #12/20
2025-11-04 18:35:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #13/20
2025-11-04 18:35:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #14/20
2025-11-04 18:35:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #15/20
2025-11-04 18:35:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #16/20
2025-11-04 18:35:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #17/20
2025-11-04 18:35:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #18/20
2025-11-04 18:35:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #19/20
2025-11-04 18:35:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #20/20
2025-11-04 18:35:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, requested 20 jobs, got 20, 2.87 s/job
2025-11-04 18:35:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #1/20 start
2025-11-04 18:35:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #2/20 start
2025-11-04 18:35:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #3/20 start
2025-11-04 18:35:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #4/20 start
2025-11-04 18:35:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #5/20 start
2025-11-04 18:35:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #6/20 start
2025-11-04 18:35:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #7/20 start
2025-11-04 18:35:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #8/20 start
2025-11-04 18:35:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #9/20 start
2025-11-04 18:35:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #10/20 start
2025-11-04 18:35:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #11/20 start
2025-11-04 18:35:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #12/20 start
2025-11-04 18:35:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #13/20 start
2025-11-04 18:35:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #14/20 start
2025-11-04 18:35:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #15/20 start
2025-11-04 18:35:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #16/20 start
2025-11-04 18:35:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #17/20 start
2025-11-04 18:35:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #18/20 start
2025-11-04 18:35:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #19/20 start
2025-11-04 18:35:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #20/20 start
2025-11-04 18:35:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, starting new job
2025-11-04 18:35:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 3 = ∑3/20, started new job
2025-11-04 18:35:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 3 = ∑3/20, starting new job
2025-11-04 18:35:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/2 = ∑5/20, started new job
2025-11-04 18:35:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/2 = ∑5/20, starting new job
2025-11-04 18:35:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 5/2 = ∑7/20, started new job
2025-11-04 18:35:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 3/4/2 = ∑9/20, started new job
2025-11-04 18:36:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 3/6/2 = ∑11/20, started new job
2025-11-04 18:36:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 3/8/2 = ∑13/20, started new job
2025-11-04 18:36:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 3/10/1 = ∑14/20, started new job
2025-11-04 18:36:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 3/11/2 = ∑16/20, started new job
2025-11-04 18:36:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 3/13/1 = ∑17/20, started new job
2025-11-04 18:36:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 5/12/1 = ∑18/20, started new job
2025-11-04 18:36:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 5/13/1 = ∑19/20, started new job
2025-11-04 18:36:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 5/14/1 = ∑20/20, started new job
2025-11-04 18:36:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 5/14/1 = ∑20/20, waiting for 20 jobs
2025-11-04 18:36:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 5/15 = ∑20/20, waiting for 20 jobs
2025-11-04 18:37:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 6/14 = ∑20/20, waiting for 20 jobs
2025-11-04 18:37:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 7/13 = ∑20/20, waiting for 20 jobs
2025-11-04 18:38:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-11-04 18:40:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 14/6 = ∑20/20, waiting for 20 jobs
2025-11-04 18:43:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, waiting for 20 jobs
2025-11-04 19:31:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, new result: VAL_ACC: 71.430000
2025-11-04 19:31:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-04 19:31:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 19 jobs
2025-11-04 19:31:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, new result: VAL_ACC: 71.330000
2025-11-04 19:31:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-04 19:31:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 18 jobs
2025-11-04 19:36:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, new result: VAL_ACC: 71.100000
2025-11-04 19:36:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-04 19:36:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 17 jobs
2025-11-04 19:37:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, new result: VAL_ACC: 71.530000
2025-11-04 19:37:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-04 19:37:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 16 jobs
2025-11-04 19:37:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, new result: VAL_ACC: 70.630000
2025-11-04 19:37:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-04 19:37:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 15 jobs
2025-11-04 19:37:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, new result: VAL_ACC: 67.870000
2025-11-04 19:37:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-04 19:37:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 14 jobs
2025-11-04 19:38:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, new result: VAL_ACC: 71.180000
2025-11-04 19:38:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-04 19:38:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, waiting for 13 jobs
2025-11-04 19:38:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, new result: VAL_ACC: 70.590000
2025-11-04 19:39:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-04 19:39:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 12 jobs
2025-11-04 19:39:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, new result: VAL_ACC: 71.340000
2025-11-04 19:39:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-04 19:39:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 11 jobs
2025-11-04 19:39:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, new result: VAL_ACC: 71.160000
2025-11-04 19:39:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-04 19:39:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 10 jobs
2025-11-04 19:39:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, new result: VAL_ACC: 71.690000
2025-11-04 19:39:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-04 19:39:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, waiting for 9 jobs
2025-11-04 19:39:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, new result: VAL_ACC: 71.490000
2025-11-04 19:39:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-04 19:39:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, waiting for 8 jobs
2025-11-04 19:39:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, new result: VAL_ACC: 71.160000
2025-11-04 19:39:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-04 19:39:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, waiting for 7 jobs
2025-11-04 19:40:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, new result: VAL_ACC: 71.450000
2025-11-04 19:40:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-04 19:40:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 6 jobs
2025-11-04 19:40:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, new result: VAL_ACC: 71.140000
2025-11-04 19:41:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-04 19:41:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 5 jobs
2025-11-04 19:41:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, new result: VAL_ACC: 71.390000
2025-11-04 19:42:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-04 19:42:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, waiting for 4 jobs
2025-11-04 19:42:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, new result: VAL_ACC: 71.080000
2025-11-04 19:42:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, new result: VAL_ACC: 70.490000
2025-11-04 19:42:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 4 jobs, finished 2 jobs
2025-11-04 19:42:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 2 jobs
2025-11-04 19:42:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, new result: VAL_ACC: 70.180000
2025-11-04 19:42:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-04 19:42:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 1 job
2025-11-04 19:43:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, new result: VAL_ACC: 71.500000
2025-11-04 19:43:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, waiting for 1 job, finished 1 job
2025-11-04 19:44:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #1/20
2025-11-04 19:44:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #2/20
2025-11-04 19:44:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #3/20
2025-11-04 19:44:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #4/20
2025-11-04 19:44:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #5/20
2025-11-04 19:44:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #6/20
2025-11-04 19:44:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #7/20
2025-11-04 19:44:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #8/20
2025-11-04 19:44:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #9/20
2025-11-04 19:44:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #10/20
2025-11-04 19:44:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #11/20
2025-11-04 19:44:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #12/20
2025-11-04 19:44:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #13/20
2025-11-04 19:44:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #14/20
2025-11-04 19:44:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #15/20
2025-11-04 19:44:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #16/20
2025-11-04 19:44:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #17/20
2025-11-04 19:44:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #18/20
2025-11-04 19:44:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #19/20
2025-11-04 19:44:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #20/20
2025-11-04 19:44:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, requested 20 jobs, got 20, 3.32 s/job
2025-11-04 19:44:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #1/20 start
2025-11-04 19:44:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #2/20 start
2025-11-04 19:44:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #3/20 start
2025-11-04 19:44:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #4/20 start
2025-11-04 19:44:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #5/20 start
2025-11-04 19:44:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #6/20 start
2025-11-04 19:44:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #7/20 start
2025-11-04 19:44:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #8/20 start
2025-11-04 19:44:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #9/20 start
2025-11-04 19:44:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #10/20 start
2025-11-04 19:44:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #11/20 start
2025-11-04 19:44:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #12/20 start
2025-11-04 19:44:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #13/20 start
2025-11-04 19:44:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #14/20 start
2025-11-04 19:44:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #15/20 start
2025-11-04 19:44:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #16/20 start
2025-11-04 19:45:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #17/20 start
2025-11-04 19:45:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #18/20 start
2025-11-04 19:45:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #19/20 start
2025-11-04 19:45:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #20/20 start
2025-11-04 19:45:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, starting new job
2025-11-04 19:45:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 1 = ∑1/20, started new job
2025-11-04 19:45:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 1 = ∑1/20, starting new job
2025-11-04 19:45:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 1/2 = ∑3/20, started new job
2025-11-04 19:45:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 1/2 = ∑3/20, starting new job
2025-11-04 19:45:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/3 = ∑6/20, started new job
2025-11-04 19:45:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/3 = ∑6/20, starting new job
2025-11-04 19:45:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/4 = ∑7/20, started new job
2025-11-04 19:45:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 7/2 = ∑9/20, started new job
2025-11-04 19:45:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 5/4/1 = ∑10/20, started new job
2025-11-04 19:45:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 5/5/1 = ∑11/20, started new job
2025-11-04 19:45:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 5/6/1 = ∑12/20, started new job
2025-11-04 19:45:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 5/6/2 = ∑13/20, started new job
2025-11-04 19:46:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 5/8/2 = ∑15/20, started new job
2025-11-04 19:46:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 7/8/2 = ∑17/20, started new job
2025-11-04 19:46:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 7/10/1 = ∑18/20, started new job
2025-11-04 19:46:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 7/11/2 = ∑20/20, started new job
2025-11-04 19:46:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 7/11/2 = ∑20/20, waiting for 20 jobs
2025-11-04 19:46:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 7/13 = ∑20/20, waiting for 20 jobs
2025-11-04 19:46:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 9/11 = ∑20/20, waiting for 20 jobs
2025-11-04 19:47:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-11-04 19:48:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-11-04 19:50:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, waiting for 20 jobs
2025-11-04 20:30:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, new result: VAL_ACC: 64.170000
2025-11-04 20:30:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-04 20:30:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 19 jobs
2025-11-04 20:30:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, new result: VAL_ACC: 64.570000
2025-11-04 20:30:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-04 20:30:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 18 jobs
2025-11-04 20:31:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, new result: VAL_ACC: 65.780000
2025-11-04 20:31:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-04 20:31:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 17 jobs
2025-11-04 20:32:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, new result: VAL_ACC: 63.430000
2025-11-04 20:32:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-04 20:32:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 16 jobs
2025-11-04 20:32:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, new result: VAL_ACC: 65.900000
2025-11-04 20:32:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-04 20:32:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 15 jobs
2025-11-04 20:32:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, new result: VAL_ACC: 66.140000
2025-11-04 20:32:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-04 20:32:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 14 jobs
2025-11-04 20:32:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, new result: VAL_ACC: 65.620000
2025-11-04 20:32:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, new result: VAL_ACC: 64.630000
2025-11-04 20:32:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 14 jobs, finished 2 jobs
2025-11-04 20:32:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 12 jobs
2025-11-04 20:33:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, new result: VAL_ACC: 66.130000
2025-11-04 20:33:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-04 20:33:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 11 jobs
2025-11-04 20:33:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, new result: VAL_ACC: 64.820000
2025-11-04 20:33:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-04 20:33:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 10 jobs
2025-11-04 20:33:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, new result: VAL_ACC: 66.270000
2025-11-04 20:33:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, new result: VAL_ACC: 65.300000
2025-11-04 20:34:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, waiting for 10 jobs, finished 2 jobs
2025-11-04 20:34:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, waiting for 8 jobs
2025-11-04 20:34:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, new result: VAL_ACC: 65.580000
2025-11-04 20:34:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-04 20:34:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, waiting for 7 jobs
2025-11-04 20:34:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, new result: VAL_ACC: 65.630000
2025-11-04 20:34:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-04 20:34:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 6 jobs
2025-11-04 20:34:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, new result: VAL_ACC: 65.410000
2025-11-04 20:34:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-04 20:34:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 5 jobs
2025-11-04 20:35:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, new result: VAL_ACC: 63.940000
2025-11-04 20:35:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-04 20:35:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, waiting for 4 jobs
2025-11-04 20:35:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, new result: VAL_ACC: 64.980000
2025-11-04 20:35:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-04 20:35:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, waiting for 3 jobs
2025-11-04 20:35:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, new result: VAL_ACC: 65.770000
2025-11-04 20:35:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-04 20:35:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 2 jobs
2025-11-04 20:36:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, new result: VAL_ACC: 66.150000
2025-11-04 20:36:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-04 20:36:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 1 job
2025-11-04 20:36:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, new result: VAL_ACC: 65.870000
2025-11-04 20:36:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, waiting for 1 job, finished 1 job
2025-11-04 20:37:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #1/20
2025-11-04 20:37:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #2/20
2025-11-04 20:37:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #3/20
2025-11-04 20:37:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #4/20
2025-11-04 20:37:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #5/20
2025-11-04 20:37:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #6/20
2025-11-04 20:37:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #7/20
2025-11-04 20:37:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #8/20
2025-11-04 20:37:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #9/20
2025-11-04 20:37:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #10/20
2025-11-04 20:37:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #11/20
2025-11-04 20:37:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #12/20
2025-11-04 20:37:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #13/20
2025-11-04 20:37:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #14/20
2025-11-04 20:37:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #15/20
2025-11-04 20:37:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #16/20
2025-11-04 20:37:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #17/20
2025-11-04 20:37:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #18/20
2025-11-04 20:37:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #19/20
2025-11-04 20:38:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #20/20
2025-11-04 20:38:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, requested 20 jobs, got 20, 4.42 s/job
2025-11-04 20:38:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #1/20 start
2025-11-04 20:38:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #2/20 start
2025-11-04 20:38:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #3/20 start
2025-11-04 20:38:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #4/20 start
2025-11-04 20:38:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #5/20 start
2025-11-04 20:38:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #6/20 start
2025-11-04 20:38:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #7/20 start
2025-11-04 20:38:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #8/20 start
2025-11-04 20:38:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #9/20 start
2025-11-04 20:38:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #10/20 start
2025-11-04 20:38:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #11/20 start
2025-11-04 20:38:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #12/20 start
2025-11-04 20:38:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #13/20 start
2025-11-04 20:38:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #14/20 start
2025-11-04 20:38:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #15/20 start
2025-11-04 20:38:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #16/20 start
2025-11-04 20:38:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #17/20 start
2025-11-04 20:38:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #18/20 start
2025-11-04 20:38:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #19/20 start
2025-11-04 20:38:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #20/20 start
2025-11-04 20:38:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, starting new job
2025-11-04 20:38:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 2 = ∑2/20, started new job
2025-11-04 20:38:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 2 = ∑2/20, starting new job
2025-11-04 20:38:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 3 = ∑3/20, started new job
2025-11-04 20:38:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 3 = ∑3/20, starting new job
2025-11-04 20:38:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/1 = ∑4/20, started new job
2025-11-04 20:38:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/1 = ∑4/20, starting new job
2025-11-04 20:38:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 3/1/1 = ∑5/20, started new job
2025-11-04 20:38:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 4/1/1 = ∑6/20, started new job
2025-11-04 20:38:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 5/1/1 = ∑7/20, started new job
2025-11-04 20:39:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 6/1/1 = ∑8/20, started new job
2025-11-04 20:39:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 6/1/2 = ∑9/20, started new job
2025-11-04 20:39:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 8/1/1 = ∑10/20, started new job
2025-11-04 20:39:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 9/1/1 = ∑11/20, started new job
2025-11-04 20:39:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 10/1/1 = ∑12/20, started new job
2025-11-04 20:39:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 10/1/2 = ∑13/20, started new job
2025-11-04 20:39:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 12/1/1 = ∑14/20, started new job
2025-11-04 20:39:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 13/1/1 = ∑15/20, started new job
2025-11-04 20:39:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 14/1/1 = ∑16/20, started new job
2025-11-04 20:39:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 15/1/1 = ∑17/20, started new job
2025-11-04 20:39:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/running/unknown 16/1/1 = ∑18/20, started new job
2025-11-04 20:39:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/14/1 = ∑19/20, started new job
2025-11-04 20:39:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/15/1 = ∑20/20, started new job
2025-11-04 20:39:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/15/1 = ∑20/20, waiting for 20 jobs
2025-11-04 20:40:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 4/16 = ∑20/20, waiting for 20 jobs
2025-11-04 20:40:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 6/14 = ∑20/20, waiting for 20 jobs
2025-11-04 20:41:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 8/12 = ∑20/20, waiting for 20 jobs
2025-11-04 20:43:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 12/8 = ∑20/20, waiting for 20 jobs
2025-11-04 20:46:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 18/2 = ∑20/20, waiting for 20 jobs
2025-11-04 20:52:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, waiting for 20 jobs
2025-11-04 21:00:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, new result: VAL_ACC: 70.930000
2025-11-04 21:00:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-04 21:00:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 19 jobs
2025-11-04 21:22:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, new result: VAL_ACC: 68.480000
2025-11-04 21:23:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-04 21:23:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 18 jobs
2025-11-04 21:26:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, new result: VAL_ACC: 70.860000
2025-11-04 21:26:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-04 21:26:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 17 jobs
2025-11-04 21:27:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, new result: VAL_ACC: 70.530000
2025-11-04 21:27:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-04 21:27:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 16 jobs
2025-11-04 21:28:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, new result: VAL_ACC: 70.830000
2025-11-04 21:28:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-04 21:28:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 15 jobs
2025-11-04 21:30:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, new result: VAL_ACC: 68.480000
2025-11-04 21:30:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-04 21:30:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 14 jobs
2025-11-04 21:31:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, new result: VAL_ACC: 70.740000
2025-11-04 21:31:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-04 21:31:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, waiting for 13 jobs
2025-11-04 21:33:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, new result: VAL_ACC: 70.650000
2025-11-04 21:33:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-04 21:33:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 12 jobs
2025-11-04 21:33:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, new result: VAL_ACC: 68.910000
2025-11-04 21:34:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-04 21:34:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 11 jobs
2025-11-04 21:34:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, new result: VAL_ACC: 70.760000
2025-11-04 21:34:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-04 21:34:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 10 jobs
2025-11-04 21:35:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, new result: VAL_ACC: 70.480000
2025-11-04 21:35:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-04 21:35:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, waiting for 9 jobs
2025-11-04 21:35:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, new result: VAL_ACC: 71.030000
2025-11-04 21:35:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-04 21:35:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, waiting for 8 jobs
2025-11-04 21:35:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, new result: VAL_ACC: 70.590000
2025-11-04 21:35:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-04 21:35:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, waiting for 7 jobs
2025-11-04 21:42:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, new result: VAL_ACC: 70.770000
2025-11-04 21:42:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-04 21:42:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 6 jobs
2025-11-04 21:43:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, new result: VAL_ACC: 70.200000
2025-11-04 21:43:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-04 21:43:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 5 jobs
2025-11-04 21:44:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, new result: VAL_ACC: 71.210000
2025-11-04 21:44:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-04 21:44:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, waiting for 4 jobs
2025-11-04 21:49:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, new result: VAL_ACC: 70.710000
2025-11-04 21:50:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-04 21:50:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, waiting for 3 jobs
2025-11-04 21:52:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, new result: VAL_ACC: 71.600000
2025-11-04 21:52:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-04 21:52:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 2 jobs
2025-11-04 21:52:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, new result: VAL_ACC: 71.430000
2025-11-04 21:52:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-04 21:52:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 1 job
2025-11-04 22:04:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, new result: VAL_ACC: 71.660000
2025-11-04 22:04:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, waiting for 1 job, finished 1 job
2025-11-04 22:05:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #1/20
2025-11-04 22:05:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #2/20
2025-11-04 22:05:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #3/20
2025-11-04 22:05:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #4/20
2025-11-04 22:05:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #5/20
2025-11-04 22:05:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #6/20
2025-11-04 22:05:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #7/20
2025-11-04 22:05:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #8/20
2025-11-04 22:05:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #9/20
2025-11-04 22:05:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #10/20
2025-11-04 22:05:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #11/20
2025-11-04 22:05:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #12/20
2025-11-04 22:05:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #13/20
2025-11-04 22:05:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #14/20
2025-11-04 22:05:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #15/20
2025-11-04 22:05:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #16/20
2025-11-04 22:05:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #17/20
2025-11-04 22:05:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #18/20
2025-11-04 22:05:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #19/20
2025-11-04 22:05:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #20/20
2025-11-04 22:05:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, requested 20 jobs, got 20, 4.24 s/job
2025-11-04 22:05:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #1/20 start
2025-11-04 22:05:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #2/20 start
2025-11-04 22:05:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #3/20 start
2025-11-04 22:05:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #4/20 start
2025-11-04 22:05:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #5/20 start
2025-11-04 22:05:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #6/20 start
2025-11-04 22:05:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #7/20 start
2025-11-04 22:05:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #8/20 start
2025-11-04 22:05:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #9/20 start
2025-11-04 22:05:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #10/20 start
2025-11-04 22:05:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #11/20 start
2025-11-04 22:05:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #12/20 start
2025-11-04 22:05:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #13/20 start
2025-11-04 22:05:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #14/20 start
2025-11-04 22:06:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #15/20 start
2025-11-04 22:06:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #16/20 start
2025-11-04 22:06:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #17/20 start
2025-11-04 22:06:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #18/20 start
2025-11-04 22:06:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #19/20 start
2025-11-04 22:06:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #20/20 start
2025-11-04 22:06:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, starting new job
2025-11-04 22:06:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 3 = ∑3/20, started new job
2025-11-04 22:06:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 3 = ∑3/20, starting new job
2025-11-04 22:06:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/2 = ∑5/20, started new job
2025-11-04 22:06:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 3/2 = ∑5/20, starting new job
2025-11-04 22:06:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 5/1 = ∑6/20, started new job
2025-11-04 22:06:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 5/2 = ∑7/20, started new job
2025-11-04 22:06:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 7/2 = ∑9/20, started new job
2025-11-04 22:06:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 9/2 = ∑11/20, started new job
2025-11-04 22:06:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 9/3 = ∑12/20, started new job
2025-11-04 22:06:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 12/3 = ∑15/20, started new job
2025-11-04 22:06:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 15/3 = ∑18/20, started new job
2025-11-04 22:06:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 18/2 = ∑20/20, started new job
2025-11-04 22:06:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 18/2 = ∑20/20, waiting for 20 jobs
2025-11-04 22:06:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending 20 = ∑20/20, waiting for 20 jobs
2025-11-04 22:07:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 5/15 = ∑20/20, waiting for 20 jobs
2025-11-04 22:10:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 11/9 = ∑20/20, waiting for 20 jobs
2025-11-04 22:14:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, waiting for 20 jobs
2025-11-04 22:55:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, new result: VAL_ACC: 71.450000
2025-11-04 22:55:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-04 22:55:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 19 jobs
2025-11-04 22:56:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, new result: VAL_ACC: 70.670000
2025-11-04 22:56:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-04 22:56:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 18 jobs
2025-11-04 22:59:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, new result: VAL_ACC: 71.010000
2025-11-04 22:59:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-04 22:59:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 17 jobs
2025-11-04 22:59:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, new result: VAL_ACC: 71.670000
2025-11-04 22:59:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-04 22:59:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 16 jobs
2025-11-04 23:01:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, new result: VAL_ACC: 70.280000
2025-11-04 23:01:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-04 23:01:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 15 jobs
2025-11-04 23:01:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, new result: VAL_ACC: 72.320000
2025-11-04 23:01:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-04 23:01:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 14 jobs
2025-11-04 23:02:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, new result: VAL_ACC: 71.600000
2025-11-04 23:02:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-04 23:02:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, waiting for 13 jobs
2025-11-04 23:03:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, new result: VAL_ACC: 71.450000
2025-11-04 23:03:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-04 23:03:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 12 jobs
2025-11-04 23:03:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, new result: VAL_ACC: 71.710000
2025-11-04 23:04:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-04 23:04:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 11 jobs
2025-11-04 23:04:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, new result: VAL_ACC: 71.120000
2025-11-04 23:04:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-04 23:04:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 10 jobs
2025-11-04 23:04:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, new result: VAL_ACC: 71.440000
2025-11-04 23:04:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-04 23:04:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, waiting for 9 jobs
2025-11-04 23:04:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, new result: VAL_ACC: 72.360000
2025-11-04 23:05:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-04 23:05:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, waiting for 8 jobs
2025-11-04 23:05:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 8 = ∑8/20, new result: VAL_ACC: 70.900000
2025-11-04 23:05:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-04 23:05:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, waiting for 7 jobs
2025-11-04 23:05:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 7 = ∑7/20, new result: VAL_ACC: 71.470000
2025-11-04 23:05:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-04 23:05:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, waiting for 6 jobs
2025-11-04 23:06:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 6 = ∑6/20, new result: VAL_ACC: 71.240000
2025-11-04 23:06:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-04 23:06:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, waiting for 5 jobs
2025-11-04 23:06:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 5 = ∑5/20, new result: VAL_ACC: 71.320000
2025-11-04 23:06:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-04 23:06:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, waiting for 4 jobs
2025-11-04 23:06:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 4 = ∑4/20, new result: VAL_ACC: 71.490000
2025-11-04 23:07:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-04 23:07:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, waiting for 3 jobs
2025-11-04 23:08:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 3 = ∑3/20, new result: VAL_ACC: 70.990000
2025-11-04 23:09:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-04 23:09:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, waiting for 2 jobs
2025-11-04 23:09:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 2 = ∑2/20, new result: VAL_ACC: 71.030000
2025-11-04 23:09:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-04 23:09:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, waiting for 1 job
2025-11-04 23:34:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 1 = ∑1/20, new result: VAL_ACC: 70.950000
2025-11-04 23:34:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, waiting for 1 job, finished 1 job
2025-11-04 23:36:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #1/20
2025-11-04 23:36:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #2/20
2025-11-04 23:36:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #3/20
2025-11-04 23:36:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #4/20
2025-11-04 23:36:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #5/20
2025-11-04 23:36:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #6/20
2025-11-04 23:36:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #7/20
2025-11-04 23:36:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #8/20
2025-11-04 23:36:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #9/20
2025-11-04 23:36:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #10/20
2025-11-04 23:36:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #11/20
2025-11-04 23:36:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #12/20
2025-11-04 23:36:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #13/20
2025-11-04 23:36:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #14/20
2025-11-04 23:36:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #15/20
2025-11-04 23:36:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #16/20
2025-11-04 23:36:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #17/20
2025-11-04 23:36:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #18/20
2025-11-04 23:36:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #19/20
2025-11-04 23:36:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, getting new HP set #20/20
2025-11-04 23:36:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, requested 20 jobs, got 20, 6.22 s/job
2025-11-04 23:36:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #1/20 start
2025-11-04 23:36:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #2/20 start
2025-11-04 23:36:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #3/20 start
2025-11-04 23:36:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #4/20 start
2025-11-04 23:36:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #5/20 start
2025-11-04 23:36:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #6/20 start
2025-11-04 23:36:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #7/20 start
2025-11-04 23:36:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #8/20 start
2025-11-04 23:36:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #9/20 start
2025-11-04 23:36:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #10/20 start
2025-11-04 23:36:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #11/20 start
2025-11-04 23:36:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #12/20 start
2025-11-04 23:36:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #13/20 start
2025-11-04 23:36:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #14/20 start
2025-11-04 23:37:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #15/20 start
2025-11-04 23:37:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #16/20 start
2025-11-04 23:37:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #17/20 start
2025-11-04 23:37:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #18/20 start
2025-11-04 23:37:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #19/20 start
2025-11-04 23:37:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, eval #20/20 start
2025-11-04 23:37:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, starting new job
2025-11-04 23:37:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 1 = ∑1/20, started new job
2025-11-04 23:37:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, unknown 1 = ∑1/20, starting new job
2025-11-04 23:37:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 1/3 = ∑4/20, started new job
2025-11-04 23:37:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 1/3 = ∑4/20, starting new job
2025-11-04 23:37:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 4/1 = ∑5/20, started new job
2025-11-04 23:37:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 5/1 = ∑6/20, started new job
2025-11-04 23:37:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, pending/unknown 6/1 = ∑7/20, started new job
2025-11-04 23:37:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 4/4 = ∑8/20, started new job
2025-11-04 23:37:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/4/2 = ∑10/20, started new job
2025-11-04 23:37:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/6/2 = ∑12/20, started new job
2025-11-04 23:37:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/8/2 = ∑14/20, started new job
2025-11-04 23:37:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/10/1 = ∑15/20, started new job
2025-11-04 23:38:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/12/2 = ∑18/20, started new job
2025-11-04 23:38:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/14/2 = ∑20/20, started new job
2025-11-04 23:38:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending/unknown 4/14/2 = ∑20/20, waiting for 20 jobs
2025-11-04 23:38:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 6/14 = ∑20/20, waiting for 20 jobs
2025-11-04 23:38:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 7/13 = ∑20/20, waiting for 20 jobs
2025-11-04 23:39:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-11-04 23:41:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running/pending 12/8 = ∑20/20, waiting for 20 jobs
2025-11-04 23:44:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, waiting for 20 jobs
2025-11-04 23:49:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 20 = ∑20/20, new result: VAL_ACC: 71.540000
2025-11-04 23:50:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-04 23:50:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, waiting for 19 jobs
2025-11-04 23:50:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 19 = ∑19/20, new result: VAL_ACC: 69.320000
2025-11-04 23:50:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-04 23:50:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, waiting for 18 jobs
2025-11-04 23:51:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 18 = ∑18/20, new result: VAL_ACC: 70.790000
2025-11-04 23:51:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-04 23:51:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, waiting for 17 jobs
2025-11-04 23:53:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 17 = ∑17/20, new result: VAL_ACC: 71.960000
2025-11-04 23:54:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-04 23:54:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, waiting for 16 jobs
2025-11-04 23:56:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 16 = ∑16/20, new result: VAL_ACC: 70.770000
2025-11-04 23:56:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-04 23:56:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, waiting for 15 jobs
2025-11-04 23:56:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 15 = ∑15/20, new result: VAL_ACC: 71.590000
2025-11-04 23:56:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-04 23:56:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, waiting for 14 jobs
2025-11-04 23:57:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 14 = ∑14/20, new result: VAL_ACC: 70.990000
2025-11-04 23:57:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-04 23:57:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, waiting for 13 jobs
2025-11-04 23:59:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 13 = ∑13/20, new result: VAL_ACC: 71.370000
2025-11-04 23:59:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-04 23:59:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, waiting for 12 jobs
2025-11-04 23:59:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 12 = ∑12/20, new result: VAL_ACC: 71.420000
2025-11-04 23:59:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-04 23:59:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, waiting for 11 jobs
2025-11-04 23:59:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 11 = ∑11/20, new result: VAL_ACC: 71.090000
2025-11-05 00:00:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-05 00:00:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 00:05:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 10 = ∑10/20, new result: VAL_ACC: 71.640000
2025-11-05 00:05:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-05 00:05:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 00:05:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, new result: VAL_ACC: 71.620000
2025-11-05 00:05:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.38, running 9 = ∑9/20, new result: VAL_ACC: 72.730000
2025-11-05 00:05:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 7 = ∑7/20, waiting for 9 jobs, finished 2 jobs
2025-11-05 00:05:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 00:07:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 7 = ∑7/20, new result: VAL_ACC: 71.660000
2025-11-05 00:07:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-05 00:07:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 6 = ∑6/20, waiting for 6 jobs
2025-11-05 00:08:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 6 = ∑6/20, new result: VAL_ACC: 70.000000
2025-11-05 00:08:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-05 00:08:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 00:08:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 5 = ∑5/20, new result: VAL_ACC: 72.330000
2025-11-05 00:08:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-05 00:08:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 4 = ∑4/20, waiting for 4 jobs
2025-11-05 00:08:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 4 = ∑4/20, new result: VAL_ACC: 71.960000
2025-11-05 00:08:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-05 00:09:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 00:10:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 3 = ∑3/20, new result: VAL_ACC: 71.460000
2025-11-05 00:10:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 00:10:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 00:24:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 2 = ∑2/20, new result: VAL_ACC: 71.560000
2025-11-05 00:24:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-05 00:24:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 1 = ∑1/20, waiting for 1 job
2025-11-05 00:36:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 1 = ∑1/20, new result: VAL_ACC: 71.250000
2025-11-05 00:36:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, waiting for 1 job, finished 1 job
2025-11-05 00:38:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #1/20
2025-11-05 00:38:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #2/20
2025-11-05 00:38:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #3/20
2025-11-05 00:38:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #4/20
2025-11-05 00:38:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #5/20
2025-11-05 00:38:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #6/20
2025-11-05 00:38:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #7/20
2025-11-05 00:38:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #8/20
2025-11-05 00:38:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #9/20
2025-11-05 00:38:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #10/20
2025-11-05 00:38:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #11/20
2025-11-05 00:38:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #12/20
2025-11-05 00:38:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #13/20
2025-11-05 00:38:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #14/20
2025-11-05 00:38:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #15/20
2025-11-05 00:38:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #16/20
2025-11-05 00:38:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #17/20
2025-11-05 00:38:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #18/20
2025-11-05 00:38:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #19/20
2025-11-05 00:38:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, getting new HP set #20/20
2025-11-05 00:38:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, requested 20 jobs, got 20, 7.32 s/job
2025-11-05 00:39:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #1/20 start
2025-11-05 00:39:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #2/20 start
2025-11-05 00:39:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #3/20 start
2025-11-05 00:39:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #4/20 start
2025-11-05 00:39:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #5/20 start
2025-11-05 00:39:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #6/20 start
2025-11-05 00:39:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #7/20 start
2025-11-05 00:39:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #8/20 start
2025-11-05 00:39:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #9/20 start
2025-11-05 00:39:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #10/20 start
2025-11-05 00:39:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #11/20 start
2025-11-05 00:39:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #12/20 start
2025-11-05 00:39:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #13/20 start
2025-11-05 00:39:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #14/20 start
2025-11-05 00:39:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #15/20 start
2025-11-05 00:39:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #16/20 start
2025-11-05 00:39:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #17/20 start
2025-11-05 00:39:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #18/20 start
2025-11-05 00:39:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #19/20 start
2025-11-05 00:39:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, eval #20/20 start
2025-11-05 00:39:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, starting new job
2025-11-05 00:39:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, unknown 3 = ∑3/20, started new job
2025-11-05 00:39:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, unknown 3 = ∑3/20, starting new job
2025-11-05 00:39:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 3/2 = ∑5/20, started new job
2025-11-05 00:39:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 3/2 = ∑5/20, starting new job
2025-11-05 00:39:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 5/3 = ∑8/20, started new job
2025-11-05 00:39:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 8/2 = ∑10/20, started new job
2025-11-05 00:39:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 10/2 = ∑12/20, started new job
2025-11-05 00:39:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 12/2 = ∑14/20, started new job
2025-11-05 00:40:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 14/3 = ∑17/20, started new job
2025-11-05 00:40:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 17/1 = ∑18/20, started new job
2025-11-05 00:40:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 18/2 = ∑20/20, started new job
2025-11-05 00:40:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending/unknown 18/2 = ∑20/20, waiting for 20 jobs
2025-11-05 00:40:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, pending 20 = ∑20/20, waiting for 20 jobs
2025-11-05 00:41:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running/pending 1/19 = ∑20/20, waiting for 20 jobs
2025-11-05 00:41:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running/pending 3/17 = ∑20/20, waiting for 20 jobs
2025-11-05 00:43:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running/pending 7/13 = ∑20/20, waiting for 20 jobs
2025-11-05 00:47:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running/pending 12/8 = ∑20/20, waiting for 20 jobs
2025-11-05 00:54:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 01:19:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 20 = ∑20/20, new result: VAL_ACC: 72.660000
2025-11-05 01:19:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 01:19:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 01:24:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 19 = ∑19/20, new result: VAL_ACC: 71.860000
2025-11-05 01:24:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 01:24:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 01:24:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 18 = ∑18/20, new result: VAL_ACC: 72.180000
2025-11-05 01:24:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 01:24:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 01:26:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 17 = ∑17/20, new result: VAL_ACC: 72.140000
2025-11-05 01:26:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 01:26:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 01:26:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 16 = ∑16/20, new result: VAL_ACC: 71.920000
2025-11-05 01:26:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 01:26:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 01:28:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 15 = ∑15/20, new result: VAL_ACC: 71.110000
2025-11-05 01:28:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 01:28:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 01:28:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 14 = ∑14/20, new result: VAL_ACC: 69.980000
2025-11-05 01:28:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-05 01:28:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 13 = ∑13/20, waiting for 13 jobs
2025-11-05 01:29:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 13 = ∑13/20, new result: VAL_ACC: 72.060000
2025-11-05 01:29:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 13 = ∑13/20, new result: VAL_ACC: 72.000000
2025-11-05 01:30:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 11 = ∑11/20, waiting for 13 jobs, finished 2 jobs
2025-11-05 01:30:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 11 = ∑11/20, waiting for 11 jobs
2025-11-05 01:32:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 11 = ∑11/20, new result: VAL_ACC: 71.980000
2025-11-05 01:32:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-05 01:32:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 01:33:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 10 = ∑10/20, new result: VAL_ACC: 71.870000
2025-11-05 01:33:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-05 01:33:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 01:33:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 9 = ∑9/20, new result: VAL_ACC: 71.890000
2025-11-05 01:33:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-05 01:33:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 8 = ∑8/20, waiting for 8 jobs
2025-11-05 01:38:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 8 = ∑8/20, new result: VAL_ACC: 72.520000
2025-11-05 01:38:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-05 01:38:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 01:38:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 7 = ∑7/20, new result: VAL_ACC: 71.300000
2025-11-05 01:38:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-05 01:38:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 6 = ∑6/20, waiting for 6 jobs
2025-11-05 01:39:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 6 = ∑6/20, new result: VAL_ACC: 71.960000
2025-11-05 01:40:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-05 01:40:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 01:43:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 5 = ∑5/20, new result: VAL_ACC: 70.440000
2025-11-05 01:43:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-05 01:43:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 4 = ∑4/20, waiting for 4 jobs
2025-11-05 01:44:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 4 = ∑4/20, new result: VAL_ACC: 70.930000
2025-11-05 01:44:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-05 01:44:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 01:47:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 3 = ∑3/20, new result: VAL_ACC: 70.760000
2025-11-05 01:47:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 01:47:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 01:49:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 2 = ∑2/20, new result: VAL_ACC: 70.720000
2025-11-05 01:50:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-05 01:50:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, running 1 = ∑1/20, waiting for 1 job
2025-11-05 02:44:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, best VAL_ACC: 72.73, timeout 1 = ∑1/20, job_failed
2025-11-05 02:44:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, waiting for 1 job, finished 1 job
2025-11-05 02:46:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #1/20
2025-11-05 02:46:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #2/20
2025-11-05 02:46:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #3/20
2025-11-05 02:46:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #4/20
2025-11-05 02:46:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #5/20
2025-11-05 02:46:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #6/20
2025-11-05 02:46:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #7/20
2025-11-05 02:46:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #8/20
2025-11-05 02:46:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #9/20
2025-11-05 02:46:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #10/20
2025-11-05 02:46:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #11/20
2025-11-05 02:46:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #12/20
2025-11-05 02:46:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #13/20
2025-11-05 02:46:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #14/20
2025-11-05 02:46:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #15/20
2025-11-05 02:46:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #16/20
2025-11-05 02:46:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #17/20
2025-11-05 02:46:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #18/20
2025-11-05 02:46:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #19/20
2025-11-05 02:46:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, getting new HP set #20/20
2025-11-05 02:46:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, requested 20 jobs, got 20, 7.02 s/job
2025-11-05 02:46:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #1/20 start
2025-11-05 02:46:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #2/20 start
2025-11-05 02:46:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #3/20 start
2025-11-05 02:46:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #4/20 start
2025-11-05 02:46:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #5/20 start
2025-11-05 02:46:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #6/20 start
2025-11-05 02:46:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #7/20 start
2025-11-05 02:46:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #8/20 start
2025-11-05 02:46:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #9/20 start
2025-11-05 02:46:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #10/20 start
2025-11-05 02:47:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #11/20 start
2025-11-05 02:47:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #12/20 start
2025-11-05 02:47:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #13/20 start
2025-11-05 02:47:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #14/20 start
2025-11-05 02:47:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #15/20 start
2025-11-05 02:47:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #16/20 start
2025-11-05 02:47:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #17/20 start
2025-11-05 02:47:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #18/20 start
2025-11-05 02:47:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #19/20 start
2025-11-05 02:47:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, eval #20/20 start
2025-11-05 02:47:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, starting new job
2025-11-05 02:47:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, unknown 3 = ∑3/20, started new job
2025-11-05 02:47:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, pending 3 = ∑3/20, starting new job
2025-11-05 02:47:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, pending/unknown 3/1 = ∑4/20, started new job
2025-11-05 02:47:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, pending/unknown 3/1 = ∑4/20, starting new job
2025-11-05 02:47:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, pending/unknown 4/2 = ∑6/20, started new job
2025-11-05 02:47:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, pending/unknown 6/1 = ∑7/20, started new job
2025-11-05 02:47:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/unknown 7/1 = ∑8/20, started new job
2025-11-05 02:47:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending/unknown 7/1/1 = ∑9/20, started new job
2025-11-05 02:47:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending/unknown 7/2/1 = ∑10/20, started new job
2025-11-05 02:47:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending/unknown 7/3/1 = ∑11/20, started new job
2025-11-05 02:48:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending/unknown 7/4/3 = ∑14/20, started new job
2025-11-05 02:48:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending/unknown 7/7/3 = ∑17/20, started new job
2025-11-05 02:48:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending/unknown 12/5/1 = ∑18/20, started new job
2025-11-05 02:48:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending/unknown 12/6/1 = ∑19/20, started new job
2025-11-05 02:48:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending/unknown 12/7/1 = ∑20/20, started new job
2025-11-05 02:48:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending/unknown 12/7/1 = ∑20/20, waiting for 20 jobs
2025-11-05 02:48:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending 12/8 = ∑20/20, waiting for 20 jobs
2025-11-05 02:48:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending 15/5 = ∑20/20, waiting for 20 jobs
2025-11-05 02:49:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending 16/4 = ∑20/20, waiting for 20 jobs
2025-11-05 02:50:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending 17/3 = ∑20/20, waiting for 20 jobs
2025-11-05 02:52:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running/pending 18/2 = ∑20/20, waiting for 20 jobs
2025-11-05 02:56:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 03:19:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 20 = ∑20/20, new result: VAL_ACC: 71.700000
2025-11-05 03:20:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 03:20:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 03:20:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 19 = ∑19/20, new result: VAL_ACC: 71.850000
2025-11-05 03:20:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 03:20:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 03:21:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 18 = ∑18/20, new result: VAL_ACC: 72.110000
2025-11-05 03:21:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 03:21:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 03:23:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 17 = ∑17/20, new result: VAL_ACC: 72.120000
2025-11-05 03:23:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 03:23:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 03:25:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 16 = ∑16/20, new result: VAL_ACC: 71.920000
2025-11-05 03:25:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 03:25:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 03:26:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 15 = ∑15/20, new result: VAL_ACC: 72.410000
2025-11-05 03:26:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 03:26:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 03:28:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 14 = ∑14/20, new result: VAL_ACC: 72.560000
2025-11-05 03:28:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-05 03:28:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 13 = ∑13/20, waiting for 13 jobs
2025-11-05 03:29:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 13 = ∑13/20, new result: VAL_ACC: 71.790000
2025-11-05 03:29:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-05 03:29:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 12 = ∑12/20, waiting for 12 jobs
2025-11-05 03:30:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 12 = ∑12/20, new result: VAL_ACC: 71.440000
2025-11-05 03:30:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-05 03:30:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 11 = ∑11/20, waiting for 11 jobs
2025-11-05 03:31:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 11 = ∑11/20, new result: VAL_ACC: 72.110000
2025-11-05 03:32:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-05 03:32:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 03:32:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 10 = ∑10/20, new result: VAL_ACC: 72.170000
2025-11-05 03:32:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-05 03:32:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 03:32:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 9 = ∑9/20, new result: VAL_ACC: 71.860000
2025-11-05 03:32:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-05 03:32:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 8 = ∑8/20, waiting for 8 jobs
2025-11-05 03:33:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 8 = ∑8/20, new result: VAL_ACC: 68.860000
2025-11-05 03:33:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-05 03:33:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 03:33:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 7 = ∑7/20, new result: VAL_ACC: 72.920000
2025-11-05 03:33:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.73, running 7 = ∑7/20, new result: VAL_ACC: 71.880000
2025-11-05 03:34:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 7 jobs, finished 2 jobs
2025-11-05 03:34:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 03:34:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 5 = ∑5/20, new result: VAL_ACC: 72.240000
2025-11-05 03:34:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-05 03:34:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 4 jobs
2025-11-05 03:36:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 4 = ∑4/20, new result: VAL_ACC: 71.760000
2025-11-05 03:36:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-05 03:36:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 03:36:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 3 = ∑3/20, new result: VAL_ACC: 72.250000
2025-11-05 03:36:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 03:36:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 03:37:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 2 = ∑2/20, new result: VAL_ACC: 72.200000
2025-11-05 03:37:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-05 03:37:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 1 = ∑1/20, waiting for 1 job
2025-11-05 03:37:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 1 = ∑1/20, new result: VAL_ACC: 72.370000
2025-11-05 03:38:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, waiting for 1 job, finished 1 job
2025-11-05 03:40:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #1/20
2025-11-05 03:40:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #2/20
2025-11-05 03:40:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #3/20
2025-11-05 03:40:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #4/20
2025-11-05 03:40:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #5/20
2025-11-05 03:40:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #6/20
2025-11-05 03:40:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #7/20
2025-11-05 03:40:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #8/20
2025-11-05 03:40:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #9/20
2025-11-05 03:40:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #10/20
2025-11-05 03:40:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #11/20
2025-11-05 03:40:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #12/20
2025-11-05 03:40:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #13/20
2025-11-05 03:40:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #14/20
2025-11-05 03:40:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #15/20
2025-11-05 03:40:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #16/20
2025-11-05 03:40:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #17/20
2025-11-05 03:40:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #18/20
2025-11-05 03:40:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #19/20
2025-11-05 03:40:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, getting new HP set #20/20
2025-11-05 03:40:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, requested 20 jobs, got 20, 7.86 s/job
2025-11-05 03:40:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #1/20 start
2025-11-05 03:40:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #2/20 start
2025-11-05 03:40:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #3/20 start
2025-11-05 03:40:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #4/20 start
2025-11-05 03:40:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #5/20 start
2025-11-05 03:40:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #6/20 start
2025-11-05 03:40:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #7/20 start
2025-11-05 03:40:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #8/20 start
2025-11-05 03:40:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #9/20 start
2025-11-05 03:40:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #10/20 start
2025-11-05 03:41:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #11/20 start
2025-11-05 03:41:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #12/20 start
2025-11-05 03:41:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #13/20 start
2025-11-05 03:41:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #14/20 start
2025-11-05 03:41:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #15/20 start
2025-11-05 03:41:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #16/20 start
2025-11-05 03:41:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #17/20 start
2025-11-05 03:41:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #18/20 start
2025-11-05 03:41:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #19/20 start
2025-11-05 03:41:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, eval #20/20 start
2025-11-05 03:41:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, starting new job
2025-11-05 03:41:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, unknown 2 = ∑2/20, started new job
2025-11-05 03:41:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, unknown 2 = ∑2/20, starting new job
2025-11-05 03:41:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, pending/unknown 2/2 = ∑4/20, started new job
2025-11-05 03:41:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, pending/unknown 2/2 = ∑4/20, starting new job
2025-11-05 03:41:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, pending/unknown 4/1 = ∑5/20, started new job
2025-11-05 03:41:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, pending/unknown 5/2 = ∑7/20, started new job
2025-11-05 03:41:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/unknown 7/2 = ∑9/20, started new job
2025-11-05 03:41:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 7/2/1 = ∑10/20, started new job
2025-11-05 03:41:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 7/3/1 = ∑11/20, started new job
2025-11-05 03:42:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 7/4/1 = ∑12/20, started new job
2025-11-05 03:42:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 7/5/1 = ∑13/20, started new job
2025-11-05 03:42:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 7/6/1 = ∑14/20, started new job
2025-11-05 03:42:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 8/6/1 = ∑15/20, started new job
2025-11-05 03:42:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 8/7/2 = ∑17/20, started new job
2025-11-05 03:42:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 8/9/1 = ∑18/20, started new job
2025-11-05 03:42:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 8/10/1 = ∑19/20, started new job
2025-11-05 03:42:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 8/11/1 = ∑20/20, started new job
2025-11-05 03:42:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending/unknown 8/11/1 = ∑20/20, waiting for 20 jobs
2025-11-05 03:42:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending 8/12 = ∑20/20, waiting for 20 jobs
2025-11-05 03:44:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending 9/11 = ∑20/20, waiting for 20 jobs
2025-11-05 03:45:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending 10/10 = ∑20/20, waiting for 20 jobs
2025-11-05 03:48:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running/pending 16/4 = ∑20/20, waiting for 20 jobs
2025-11-05 03:55:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 04:00:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 20 = ∑20/20, new result: VAL_ACC: 68.070000
2025-11-05 04:00:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 04:00:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 04:20:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 19 = ∑19/20, new result: VAL_ACC: 70.590000
2025-11-05 04:20:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 04:20:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 04:24:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 18 = ∑18/20, new result: VAL_ACC: 68.790000
2025-11-05 04:24:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 04:24:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 04:27:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 17 = ∑17/20, new result: VAL_ACC: 70.430000
2025-11-05 04:28:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 04:28:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 04:32:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 16 = ∑16/20, new result: VAL_ACC: 70.860000
2025-11-05 04:32:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 04:32:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 04:32:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 15 = ∑15/20, new result: VAL_ACC: 71.140000
2025-11-05 04:33:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 04:33:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 04:38:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 14 = ∑14/20, new result: VAL_ACC: 64.340000
2025-11-05 04:38:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-05 04:38:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 13 jobs
2025-11-05 04:39:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 13 = ∑13/20, new result: VAL_ACC: 64.870000
2025-11-05 04:39:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-05 04:39:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 12 = ∑12/20, waiting for 12 jobs
2025-11-05 04:41:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 12 = ∑12/20, new result: VAL_ACC: 69.000000
2025-11-05 04:41:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-05 04:41:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 11 = ∑11/20, waiting for 11 jobs
2025-11-05 04:41:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 11 = ∑11/20, new result: VAL_ACC: 63.940000
2025-11-05 04:41:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-05 04:41:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 04:42:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 10 = ∑10/20, new result: VAL_ACC: 63.750000
2025-11-05 04:42:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-05 04:42:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 04:43:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 9 = ∑9/20, new result: VAL_ACC: 68.360000
2025-11-05 04:43:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-05 04:43:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 8 jobs
2025-11-05 04:46:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 8 = ∑8/20, new result: VAL_ACC: 68.890000
2025-11-05 04:46:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-05 04:46:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 04:48:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 7 = ∑7/20, new result: VAL_ACC: 67.780000
2025-11-05 04:48:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-05 04:48:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 6 = ∑6/20, waiting for 6 jobs
2025-11-05 04:50:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 6 = ∑6/20, new result: VAL_ACC: 69.410000
2025-11-05 04:50:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-05 04:50:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 04:50:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 5 = ∑5/20, new result: VAL_ACC: 68.460000
2025-11-05 04:50:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-05 04:50:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 4 jobs
2025-11-05 04:51:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 4 = ∑4/20, new result: VAL_ACC: 68.790000
2025-11-05 04:51:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-05 04:51:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 04:55:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 3 = ∑3/20, new result: VAL_ACC: 61.640000
2025-11-05 04:55:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 04:55:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 05:12:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 2 = ∑2/20, new result: VAL_ACC: 67.640000
2025-11-05 05:12:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-05 05:12:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, running 1 = ∑1/20, waiting for 1 job
2025-11-05 05:55:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 1, best VAL_ACC: 72.92, timeout 1 = ∑1/20, job_failed
2025-11-05 05:55:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, waiting for 1 job, finished 1 job
2025-11-05 05:58:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #1/20
2025-11-05 05:58:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #2/20
2025-11-05 05:58:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #3/20
2025-11-05 05:58:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #4/20
2025-11-05 05:58:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #5/20
2025-11-05 05:58:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #6/20
2025-11-05 05:58:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #7/20
2025-11-05 05:58:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #8/20
2025-11-05 05:58:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #9/20
2025-11-05 05:58:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #10/20
2025-11-05 05:58:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #11/20
2025-11-05 05:58:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #12/20
2025-11-05 05:58:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #13/20
2025-11-05 05:58:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #14/20
2025-11-05 05:58:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #15/20
2025-11-05 05:58:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #16/20
2025-11-05 05:58:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #17/20
2025-11-05 05:58:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #18/20
2025-11-05 05:58:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #19/20
2025-11-05 05:58:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #20/20
2025-11-05 05:58:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, requested 20 jobs, got 20, 8.87 s/job
2025-11-05 05:58:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #1/20 start
2025-11-05 05:58:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #2/20 start
2025-11-05 05:58:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #3/20 start
2025-11-05 05:58:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #4/20 start
2025-11-05 05:58:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #5/20 start
2025-11-05 05:58:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #6/20 start
2025-11-05 05:58:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #7/20 start
2025-11-05 05:58:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #8/20 start
2025-11-05 05:58:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #9/20 start
2025-11-05 05:58:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #10/20 start
2025-11-05 05:58:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #11/20 start
2025-11-05 05:59:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #12/20 start
2025-11-05 05:59:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #13/20 start
2025-11-05 05:59:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #14/20 start
2025-11-05 05:59:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #15/20 start
2025-11-05 05:59:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #16/20 start
2025-11-05 05:59:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #17/20 start
2025-11-05 05:59:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #18/20 start
2025-11-05 05:59:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #19/20 start
2025-11-05 05:59:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #20/20 start
2025-11-05 05:59:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, starting new job
2025-11-05 05:59:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, unknown 3 = ∑3/20, started new job
2025-11-05 05:59:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending 3 = ∑3/20, starting new job
2025-11-05 05:59:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending/unknown 3/1 = ∑4/20, started new job
2025-11-05 05:59:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending/unknown 3/1 = ∑4/20, starting new job
2025-11-05 05:59:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 4/1 = ∑5/20, started new job
2025-11-05 05:59:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 4/1/2 = ∑7/20, started new job
2025-11-05 05:59:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending 7/2 = ∑9/20, started new job
2025-11-05 05:59:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 9/2 = ∑11/20, started new job
2025-11-05 05:59:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 11/2 = ∑13/20, started new job
2025-11-05 06:00:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 11/2/1 = ∑14/20, started new job
2025-11-05 06:00:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 11/2/2 = ∑15/20, started new job
2025-11-05 06:00:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 11/4/2 = ∑17/20, started new job
2025-11-05 06:00:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 11/6/3 = ∑20/20, started new job
2025-11-05 06:00:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 06:18:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, new result: VAL_ACC: 71.730000
2025-11-05 06:18:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 06:18:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 06:19:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, new result: VAL_ACC: 71.720000
2025-11-05 06:19:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 06:19:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 06:20:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, new result: VAL_ACC: 71.290000
2025-11-05 06:20:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 06:20:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 06:22:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, new result: VAL_ACC: 70.920000
2025-11-05 06:23:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 06:23:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 06:23:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, new result: VAL_ACC: 71.190000
2025-11-05 06:23:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 06:23:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 06:23:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, new result: VAL_ACC: 71.430000
2025-11-05 06:23:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 06:23:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 06:24:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, new result: VAL_ACC: 71.390000
2025-11-05 06:24:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-05 06:24:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 13 jobs
2025-11-05 06:24:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, new result: VAL_ACC: 71.040000
2025-11-05 06:25:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-05 06:25:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, waiting for 12 jobs
2025-11-05 06:25:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, new result: VAL_ACC: 71.500000
2025-11-05 06:25:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-05 06:25:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 11 = ∑11/20, waiting for 11 jobs
2025-11-05 06:25:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 11 = ∑11/20, new result: VAL_ACC: 71.480000
2025-11-05 06:25:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-05 06:25:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 06:26:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, new result: VAL_ACC: 71.680000
2025-11-05 06:26:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-05 06:26:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 06:27:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, new result: VAL_ACC: 71.500000
2025-11-05 06:27:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-05 06:27:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 8 jobs
2025-11-05 06:27:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, new result: VAL_ACC: 70.650000
2025-11-05 06:27:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/completed 5/2 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-05 06:27:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/completed 5/2 = ∑7/20, waiting for 7 jobs
2025-11-05 06:27:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/completed 5/2 = ∑7/20, new result: VAL_ACC: 71.810000
2025-11-05 06:27:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/completed 5/2 = ∑7/20, new result: VAL_ACC: 71.580000
2025-11-05 06:28:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 7 jobs, finished 2 jobs
2025-11-05 06:28:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 06:28:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, new result: VAL_ACC: 71.500000
2025-11-05 06:28:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, new result: VAL_ACC: 71.190000
2025-11-05 06:28:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-11-05 06:28:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 06:28:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, new result: VAL_ACC: 71.000000
2025-11-05 06:29:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 06:29:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 06:29:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, new result: VAL_ACC: 72.300000
2025-11-05 06:29:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, new result: VAL_ACC: 71.350000
2025-11-05 06:29:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, waiting for 2 jobs, finished 2 jobs
2025-11-05 06:32:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #1/20
2025-11-05 06:32:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #2/20
2025-11-05 06:32:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #3/20
2025-11-05 06:32:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #4/20
2025-11-05 06:32:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #5/20
2025-11-05 06:32:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #6/20
2025-11-05 06:32:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #7/20
2025-11-05 06:32:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #8/20
2025-11-05 06:32:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #9/20
2025-11-05 06:32:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #10/20
2025-11-05 06:32:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #11/20
2025-11-05 06:32:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #12/20
2025-11-05 06:32:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #13/20
2025-11-05 06:32:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #14/20
2025-11-05 06:32:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #15/20
2025-11-05 06:32:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #16/20
2025-11-05 06:32:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #17/20
2025-11-05 06:32:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #18/20
2025-11-05 06:32:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #19/20
2025-11-05 06:32:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #20/20
2025-11-05 06:32:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, requested 20 jobs, got 20, 9.99 s/job
2025-11-05 06:32:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #1/20 start
2025-11-05 06:32:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #2/20 start
2025-11-05 06:32:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #3/20 start
2025-11-05 06:32:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #4/20 start
2025-11-05 06:32:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #5/20 start
2025-11-05 06:32:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #6/20 start
2025-11-05 06:32:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #7/20 start
2025-11-05 06:32:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #8/20 start
2025-11-05 06:33:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #9/20 start
2025-11-05 06:33:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #10/20 start
2025-11-05 06:33:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #11/20 start
2025-11-05 06:33:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #12/20 start
2025-11-05 06:33:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #13/20 start
2025-11-05 06:33:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #14/20 start
2025-11-05 06:33:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #15/20 start
2025-11-05 06:33:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #16/20 start
2025-11-05 06:33:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #17/20 start
2025-11-05 06:33:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #18/20 start
2025-11-05 06:33:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #19/20 start
2025-11-05 06:33:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #20/20 start
2025-11-05 06:33:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, starting new job
2025-11-05 06:33:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending 1 = ∑1/20, started new job
2025-11-05 06:33:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending 1 = ∑1/20, starting new job
2025-11-05 06:33:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 1/1 = ∑2/20, started new job
2025-11-05 06:33:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 1/1 = ∑2/20, starting new job
2025-11-05 06:33:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 1/1/2 = ∑4/20, started new job
2025-11-05 06:33:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 1/1/2 = ∑4/20, starting new job
2025-11-05 06:33:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 4/2 = ∑6/20, started new job
2025-11-05 06:33:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 6/1 = ∑7/20, started new job
2025-11-05 06:33:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 6/1/1 = ∑8/20, started new job
2025-11-05 06:34:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 6/2/1 = ∑9/20, started new job
2025-11-05 06:34:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 6/3/3 = ∑12/20, started new job
2025-11-05 06:34:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 12/1 = ∑13/20, started new job
2025-11-05 06:34:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 13/1 = ∑14/20, started new job
2025-11-05 06:34:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 13/1/1 = ∑15/20, started new job
2025-11-05 06:34:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 13/2/1 = ∑16/20, started new job
2025-11-05 06:34:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 16/1 = ∑17/20, started new job
2025-11-05 06:34:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 16/1/1 = ∑18/20, started new job
2025-11-05 06:34:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 16/2/1 = ∑19/20, started new job
2025-11-05 06:34:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 19/1 = ∑20/20, started new job
2025-11-05 06:34:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 19/1 = ∑20/20, waiting for 20 jobs
2025-11-05 06:34:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-11-05 06:35:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 06:48:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, new result: VAL_ACC: 71.140000
2025-11-05 06:48:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 06:48:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 06:49:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, new result: VAL_ACC: 71.440000
2025-11-05 06:49:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 06:49:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 06:56:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, new result: VAL_ACC: 71.580000
2025-11-05 06:56:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 06:56:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 06:57:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, new result: VAL_ACC: 72.270000
2025-11-05 06:57:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 06:57:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 07:00:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, new result: VAL_ACC: 71.890000
2025-11-05 07:01:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 07:01:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 07:01:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, new result: VAL_ACC: 72.080000
2025-11-05 07:01:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, new result: VAL_ACC: 71.720000
2025-11-05 07:01:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 15 jobs, finished 2 jobs
2025-11-05 07:01:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 13 jobs
2025-11-05 07:01:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, new result: VAL_ACC: 72.200000
2025-11-05 07:01:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, new result: VAL_ACC: 72.640000
2025-11-05 07:01:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, new result: VAL_ACC: 71.220000
2025-11-05 07:01:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, new result: VAL_ACC: 71.640000
2025-11-05 07:02:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 13 jobs, finished 4 jobs
2025-11-05 07:02:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 07:02:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, new result: VAL_ACC: 71.860000
2025-11-05 07:02:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-05 07:02:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 8 jobs
2025-11-05 07:02:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, new result: VAL_ACC: 72.070000
2025-11-05 07:03:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-05 07:03:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 07:03:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, new result: VAL_ACC: 72.220000
2025-11-05 07:03:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, new result: VAL_ACC: 71.690000
2025-11-05 07:03:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 7 jobs, finished 2 jobs
2025-11-05 07:03:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 07:03:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, new result: VAL_ACC: 72.670000
2025-11-05 07:03:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-05 07:03:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 4 jobs
2025-11-05 07:03:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, new result: VAL_ACC: 71.540000
2025-11-05 07:04:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-05 07:04:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 07:04:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, new result: VAL_ACC: 71.250000
2025-11-05 07:04:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 07:04:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 07:05:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, new result: VAL_ACC: 71.790000
2025-11-05 07:05:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-05 07:05:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 1 = ∑1/20, waiting for 1 job
2025-11-05 07:10:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 1 = ∑1/20, new result: VAL_ACC: 71.700000
2025-11-05 07:11:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, waiting for 1 job, finished 1 job
2025-11-05 07:14:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #1/20
2025-11-05 07:14:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #2/20
2025-11-05 07:14:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #3/20
2025-11-05 07:14:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #4/20
2025-11-05 07:14:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #5/20
2025-11-05 07:14:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #6/20
2025-11-05 07:14:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #7/20
2025-11-05 07:14:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #8/20
2025-11-05 07:14:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #9/20
2025-11-05 07:14:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #10/20
2025-11-05 07:14:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #11/20
2025-11-05 07:14:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #12/20
2025-11-05 07:14:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #13/20
2025-11-05 07:14:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #14/20
2025-11-05 07:14:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #15/20
2025-11-05 07:14:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #16/20
2025-11-05 07:14:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #17/20
2025-11-05 07:14:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #18/20
2025-11-05 07:14:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #19/20
2025-11-05 07:14:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #20/20
2025-11-05 07:14:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, requested 20 jobs, got 20, 10.86 s/job
2025-11-05 07:14:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #1/20 start
2025-11-05 07:14:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #2/20 start
2025-11-05 07:14:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #3/20 start
2025-11-05 07:14:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #4/20 start
2025-11-05 07:14:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #5/20 start
2025-11-05 07:14:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #6/20 start
2025-11-05 07:14:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #7/20 start
2025-11-05 07:14:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #8/20 start
2025-11-05 07:14:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #9/20 start
2025-11-05 07:14:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #10/20 start
2025-11-05 07:14:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #11/20 start
2025-11-05 07:14:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #12/20 start
2025-11-05 07:14:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #13/20 start
2025-11-05 07:15:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #14/20 start
2025-11-05 07:15:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #15/20 start
2025-11-05 07:15:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #16/20 start
2025-11-05 07:15:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #17/20 start
2025-11-05 07:15:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #18/20 start
2025-11-05 07:15:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #19/20 start
2025-11-05 07:15:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #20/20 start
2025-11-05 07:15:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, starting new job
2025-11-05 07:15:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending 3 = ∑3/20, started new job
2025-11-05 07:15:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, starting new job
2025-11-05 07:15:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 3/1 = ∑4/20, started new job
2025-11-05 07:15:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 3/1 = ∑4/20, starting new job
2025-11-05 07:15:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 3/1/1 = ∑5/20, started new job
2025-11-05 07:15:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 3/2/2 = ∑7/20, started new job
2025-11-05 07:15:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 7/1 = ∑8/20, started new job
2025-11-05 07:15:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 7/1/2 = ∑10/20, started new job
2025-11-05 07:15:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 7/1/3 = ∑11/20, started new job
2025-11-05 07:16:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 11/1 = ∑12/20, started new job
2025-11-05 07:16:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 11/1/1 = ∑13/20, started new job
2025-11-05 07:16:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 13/1 = ∑14/20, started new job
2025-11-05 07:16:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 14/1 = ∑15/20, started new job
2025-11-05 07:16:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 14/1/3 = ∑18/20, started new job
2025-11-05 07:16:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 14/4/2 = ∑20/20, started new job
2025-11-05 07:16:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending 14/6 = ∑20/20, waiting for 20 jobs
2025-11-05 07:16:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 07:33:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, new result: VAL_ACC: 69.750000
2025-11-05 07:33:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 07:33:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 07:35:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, new result: VAL_ACC: 70.700000
2025-11-05 07:36:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 07:36:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 07:36:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, new result: VAL_ACC: 70.870000
2025-11-05 07:36:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 07:36:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 07:36:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, new result: VAL_ACC: 70.800000
2025-11-05 07:37:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 07:37:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 07:38:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, new result: VAL_ACC: 71.210000
2025-11-05 07:39:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 07:39:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 07:41:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, new result: VAL_ACC: 70.550000
2025-11-05 07:42:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 07:42:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 07:42:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, new result: VAL_ACC: 70.450000
2025-11-05 07:42:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, new result: VAL_ACC: 69.270000
2025-11-05 07:42:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, waiting for 14 jobs, finished 2 jobs
2025-11-05 07:42:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, waiting for 12 jobs
2025-11-05 07:44:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, new result: VAL_ACC: 70.960000
2025-11-05 07:45:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-05 07:45:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 11 = ∑11/20, waiting for 11 jobs
2025-11-05 07:46:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 11 = ∑11/20, new result: VAL_ACC: 70.340000
2025-11-05 07:47:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-05 07:47:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 07:48:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, new result: VAL_ACC: 70.850000
2025-11-05 07:48:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-05 07:48:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 07:48:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, new result: VAL_ACC: 70.910000
2025-11-05 07:48:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-05 07:48:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 8 jobs
2025-11-05 07:48:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, new result: VAL_ACC: 71.360000
2025-11-05 07:49:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-05 07:49:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 07:49:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, new result: VAL_ACC: 70.620000
2025-11-05 07:49:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, new result: VAL_ACC: 71.220000
2025-11-05 07:49:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, new result: VAL_ACC: 71.310000
2025-11-05 07:49:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 7 jobs, finished 3 jobs
2025-11-05 07:49:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 4 jobs
2025-11-05 07:50:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, new result: VAL_ACC: 71.300000
2025-11-05 07:50:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-05 07:50:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 07:50:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, new result: VAL_ACC: 70.340000
2025-11-05 07:51:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 07:51:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 07:51:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, new result: VAL_ACC: 70.850000
2025-11-05 07:51:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, new result: VAL_ACC: 70.890000
2025-11-05 07:51:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, waiting for 2 jobs, finished 2 jobs
2025-11-05 07:55:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #1/20
2025-11-05 07:55:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #2/20
2025-11-05 07:55:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #3/20
2025-11-05 07:55:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #4/20
2025-11-05 07:55:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #5/20
2025-11-05 07:55:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #6/20
2025-11-05 07:55:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #7/20
2025-11-05 07:55:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #8/20
2025-11-05 07:55:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #9/20
2025-11-05 07:55:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #10/20
2025-11-05 07:55:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #11/20
2025-11-05 07:55:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #12/20
2025-11-05 07:55:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #13/20
2025-11-05 07:55:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #14/20
2025-11-05 07:55:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #15/20
2025-11-05 07:55:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #16/20
2025-11-05 07:55:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #17/20
2025-11-05 07:55:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #18/20
2025-11-05 07:55:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #19/20
2025-11-05 07:55:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #20/20
2025-11-05 07:55:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, requested 20 jobs, got 20, 13.22 s/job
2025-11-05 07:56:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #1/20 start
2025-11-05 07:56:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #2/20 start
2025-11-05 07:56:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #3/20 start
2025-11-05 07:56:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #4/20 start
2025-11-05 07:56:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #5/20 start
2025-11-05 07:56:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #6/20 start
2025-11-05 07:56:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #7/20 start
2025-11-05 07:56:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #8/20 start
2025-11-05 07:56:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #9/20 start
2025-11-05 07:56:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #10/20 start
2025-11-05 07:56:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #11/20 start
2025-11-05 07:56:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #12/20 start
2025-11-05 07:56:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #13/20 start
2025-11-05 07:56:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #14/20 start
2025-11-05 07:56:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #15/20 start
2025-11-05 07:56:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #16/20 start
2025-11-05 07:56:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #17/20 start
2025-11-05 07:56:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #18/20 start
2025-11-05 07:56:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #19/20 start
2025-11-05 07:56:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #20/20 start
2025-11-05 07:56:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, starting new job
2025-11-05 07:56:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 1 = ∑1/20, starting new job
2025-11-05 07:56:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending 9/4 = ∑13/20, started new job
2025-11-05 07:56:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, started new job
2025-11-05 07:56:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 13/3 = ∑16/20, starting new job
2025-11-05 07:56:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 13/3 = ∑16/20, started new job
2025-11-05 07:56:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/unknown 13/3 = ∑16/20, starting new job
2025-11-05 07:56:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending 13/3 = ∑16/20, started new job
2025-11-05 07:56:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending 13/3 = ∑16/20, starting new job
2025-11-05 07:57:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending/unknown 13/3/4 = ∑20/20, started new job
2025-11-05 07:57:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending 13/7 = ∑20/20, waiting for 20 jobs
2025-11-05 07:57:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 08:32:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, new result: VAL_ACC: 71.950000
2025-11-05 08:32:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 08:32:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 08:32:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, new result: VAL_ACC: 72.100000
2025-11-05 08:33:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 08:33:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 08:33:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, new result: VAL_ACC: 72.370000
2025-11-05 08:33:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 08:33:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 08:34:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, new result: VAL_ACC: 71.880000
2025-11-05 08:35:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 08:35:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 08:35:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, new result: VAL_ACC: 71.510000
2025-11-05 08:35:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 08:35:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 08:35:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, new result: VAL_ACC: 72.110000
2025-11-05 08:36:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 08:36:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 08:36:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, new result: VAL_ACC: 72.100000
2025-11-05 08:36:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-05 08:36:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 13 jobs
2025-11-05 08:36:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, new result: VAL_ACC: 71.980000
2025-11-05 08:36:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, new result: VAL_ACC: 72.150000
2025-11-05 08:37:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 11 = ∑11/20, waiting for 13 jobs, finished 2 jobs
2025-11-05 08:37:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 11 = ∑11/20, waiting for 11 jobs
2025-11-05 08:38:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 11 = ∑11/20, new result: VAL_ACC: 71.540000
2025-11-05 08:38:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-05 08:38:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 08:39:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, new result: VAL_ACC: 72.350000
2025-11-05 08:40:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-05 08:40:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 08:40:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, new result: VAL_ACC: 71.700000
2025-11-05 08:41:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-05 08:41:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 8 jobs
2025-11-05 08:41:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, new result: VAL_ACC: 71.880000
2025-11-05 08:41:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-05 08:41:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 08:41:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, new result: VAL_ACC: 72.330000
2025-11-05 08:41:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-05 08:41:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 6 = ∑6/20, waiting for 6 jobs
2025-11-05 08:46:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 6 = ∑6/20, new result: VAL_ACC: 71.740000
2025-11-05 08:47:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-05 08:47:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 08:56:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, new result: VAL_ACC: 71.460000
2025-11-05 08:56:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-05 08:56:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 4 jobs
2025-11-05 08:59:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, new result: VAL_ACC: 71.300000
2025-11-05 08:59:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-05 08:59:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 09:05:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 3 = ∑3/20, new result: VAL_ACC: 70.030000
2025-11-05 09:05:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 09:05:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 09:05:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 2 = ∑2/20, new result: VAL_ACC: 70.800000
2025-11-05 09:05:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-05 09:05:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 1 = ∑1/20, waiting for 1 job
2025-11-05 09:07:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 1 = ∑1/20, new result: VAL_ACC: 71.380000
2025-11-05 09:07:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, waiting for 1 job, finished 1 job
2025-11-05 09:12:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #1/20
2025-11-05 09:12:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #2/20
2025-11-05 09:12:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #3/20
2025-11-05 09:12:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #4/20
2025-11-05 09:12:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #5/20
2025-11-05 09:12:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #6/20
2025-11-05 09:12:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #7/20
2025-11-05 09:12:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #8/20
2025-11-05 09:12:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #9/20
2025-11-05 09:12:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #10/20
2025-11-05 09:12:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #11/20
2025-11-05 09:12:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #12/20
2025-11-05 09:12:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #13/20
2025-11-05 09:12:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #14/20
2025-11-05 09:12:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #15/20
2025-11-05 09:12:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #16/20
2025-11-05 09:12:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #17/20
2025-11-05 09:12:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #18/20
2025-11-05 09:12:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #19/20
2025-11-05 09:12:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, getting new HP set #20/20
2025-11-05 09:12:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, requested 20 jobs, got 20, 13.66 s/job
2025-11-05 09:12:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #1/20 start
2025-11-05 09:12:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #2/20 start
2025-11-05 09:12:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #3/20 start
2025-11-05 09:12:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #4/20 start
2025-11-05 09:12:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #5/20 start
2025-11-05 09:12:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #6/20 start
2025-11-05 09:12:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #7/20 start
2025-11-05 09:12:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #8/20 start
2025-11-05 09:12:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #9/20 start
2025-11-05 09:12:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #10/20 start
2025-11-05 09:12:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #11/20 start
2025-11-05 09:12:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #12/20 start
2025-11-05 09:12:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #13/20 start
2025-11-05 09:12:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #14/20 start
2025-11-05 09:12:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #15/20 start
2025-11-05 09:12:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #16/20 start
2025-11-05 09:12:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #17/20 start
2025-11-05 09:12:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #18/20 start
2025-11-05 09:12:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #19/20 start
2025-11-05 09:12:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, eval #20/20 start
2025-11-05 09:13:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, starting new job
2025-11-05 09:13:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending/running 14/1 = ∑15/20, started new job
2025-11-05 09:13:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending/running 15/1 = ∑16/20, started new job
2025-11-05 09:13:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending/running 15/1 = ∑16/20, starting new job
2025-11-05 09:13:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending/running/unknown 15/1/3 = ∑19/20, started new job
2025-11-05 09:13:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, pending/running/unknown 15/1/4 = ∑20/20, started new job
2025-11-05 09:13:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running/pending 11/9 = ∑20/20, waiting for 20 jobs
2025-11-05 09:13:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 09:27:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 20 = ∑20/20, new result: VAL_ACC: 71.450000
2025-11-05 09:27:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 09:27:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 09:28:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 19 = ∑19/20, new result: VAL_ACC: 71.570000
2025-11-05 09:28:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 09:28:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 09:31:36 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 18 = ∑18/20, new result: VAL_ACC: 72.190000
2025-11-05 09:31:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 09:31:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 09:31:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 17 = ∑17/20, new result: VAL_ACC: 72.570000
2025-11-05 09:32:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 09:32:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 09:34:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 16 = ∑16/20, new result: VAL_ACC: 72.540000
2025-11-05 09:34:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 09:34:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 09:35:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 15 = ∑15/20, new result: VAL_ACC: 72.380000
2025-11-05 09:35:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 09:35:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 09:35:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 14 = ∑14/20, new result: VAL_ACC: 72.250000
2025-11-05 09:36:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-05 09:36:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, waiting for 13 jobs
2025-11-05 09:37:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 13 = ∑13/20, new result: VAL_ACC: 72.540000
2025-11-05 09:38:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-05 09:38:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, waiting for 12 jobs
2025-11-05 09:38:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, new result: VAL_ACC: 72.320000
2025-11-05 09:38:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 12 = ∑12/20, new result: VAL_ACC: 72.140000
2025-11-05 09:38:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 12 jobs, finished 2 jobs
2025-11-05 09:38:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 09:39:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 10 = ∑10/20, new result: VAL_ACC: 72.290000
2025-11-05 09:39:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-05 09:39:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 09:41:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 9 = ∑9/20, new result: VAL_ACC: 72.110000
2025-11-05 09:42:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-05 09:42:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, waiting for 8 jobs
2025-11-05 09:43:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 8 = ∑8/20, new result: VAL_ACC: 72.890000
2025-11-05 09:43:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-05 09:43:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 09:43:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 7 = ∑7/20, new result: VAL_ACC: 72.530000
2025-11-05 09:43:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-05 09:43:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 6 = ∑6/20, waiting for 6 jobs
2025-11-05 09:49:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 6 = ∑6/20, new result: VAL_ACC: 72.500000
2025-11-05 09:49:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-05 09:49:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 09:49:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 5 = ∑5/20, new result: VAL_ACC: 72.720000
2025-11-05 09:50:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-05 09:50:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, waiting for 4 jobs
2025-11-05 09:54:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 72.92, running 4 = ∑4/20, new result: VAL_ACC: 73.070000
2025-11-05 09:54:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-05 09:54:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 09:56:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 3 = ∑3/20, new result: VAL_ACC: 72.630000
2025-11-05 09:56:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 09:56:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 10:01:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 2 = ∑2/20, new result: VAL_ACC: 72.130000
2025-11-05 10:01:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-05 10:01:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 1 = ∑1/20, waiting for 1 job
2025-11-05 10:07:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 1 = ∑1/20, new result: VAL_ACC: 72.780000
2025-11-05 10:07:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, waiting for 1 job, finished 1 job
2025-11-05 10:11:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #1/20
2025-11-05 10:11:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #2/20
2025-11-05 10:11:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #3/20
2025-11-05 10:11:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #4/20
2025-11-05 10:11:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #5/20
2025-11-05 10:11:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #6/20
2025-11-05 10:11:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #7/20
2025-11-05 10:11:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #8/20
2025-11-05 10:11:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #9/20
2025-11-05 10:11:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #10/20
2025-11-05 10:11:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #11/20
2025-11-05 10:11:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #12/20
2025-11-05 10:11:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #13/20
2025-11-05 10:11:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #14/20
2025-11-05 10:11:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #15/20
2025-11-05 10:11:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #16/20
2025-11-05 10:11:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #17/20
2025-11-05 10:11:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #18/20
2025-11-05 10:11:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #19/20
2025-11-05 10:11:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #20/20
2025-11-05 10:11:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, requested 20 jobs, got 20, 11.66 s/job
2025-11-05 10:11:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #1/20 start
2025-11-05 10:11:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #2/20 start
2025-11-05 10:11:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #3/20 start
2025-11-05 10:11:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #4/20 start
2025-11-05 10:12:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #5/20 start
2025-11-05 10:12:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #6/20 start
2025-11-05 10:12:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #7/20 start
2025-11-05 10:12:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #8/20 start
2025-11-05 10:12:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #9/20 start
2025-11-05 10:12:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #10/20 start
2025-11-05 10:12:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #11/20 start
2025-11-05 10:12:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #12/20 start
2025-11-05 10:12:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #13/20 start
2025-11-05 10:12:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #14/20 start
2025-11-05 10:12:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #15/20 start
2025-11-05 10:12:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #16/20 start
2025-11-05 10:12:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #17/20 start
2025-11-05 10:12:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #18/20 start
2025-11-05 10:12:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #19/20 start
2025-11-05 10:12:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #20/20 start
2025-11-05 10:12:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, starting new job
2025-11-05 10:12:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending 10/5 = ∑15/20, started new job
2025-11-05 10:12:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 15 = ∑15/20, started new job
2025-11-05 10:12:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 16 = ∑16/20, started new job
2025-11-05 10:12:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 16 = ∑16/20, starting new job
2025-11-05 10:12:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending 16/1 = ∑17/20, starting new job
2025-11-05 10:12:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending 16/2 = ∑18/20, started new job
2025-11-05 10:12:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending/unknown 16/2/1 = ∑19/20, started new job
2025-11-05 10:12:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending/unknown 16/2/2 = ∑20/20, started new job
2025-11-05 10:13:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending/unknown 16/2/2 = ∑20/20, waiting for 20 jobs
2025-11-05 10:13:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending 16/4 = ∑20/20, waiting for 20 jobs
2025-11-05 10:13:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 10:43:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 20 = ∑20/20, new result: VAL_ACC: 71.330000
2025-11-05 10:43:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 10:43:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 10:50:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 19 = ∑19/20, new result: VAL_ACC: 72.580000
2025-11-05 10:51:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 10:51:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 10:52:39 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 18 = ∑18/20, new result: VAL_ACC: 72.070000
2025-11-05 10:53:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 10:53:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 10:53:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 17 = ∑17/20, new result: VAL_ACC: 72.580000
2025-11-05 10:53:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 10:53:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 10:53:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 16 = ∑16/20, new result: VAL_ACC: 72.260000
2025-11-05 10:53:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 10:54:00 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 10:54:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 15 = ∑15/20, new result: VAL_ACC: 72.150000
2025-11-05 10:55:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 10:55:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 10:55:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 14 = ∑14/20, new result: VAL_ACC: 72.310000
2025-11-05 10:55:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 14 = ∑14/20, new result: VAL_ACC: 70.170000
2025-11-05 10:55:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 14 = ∑14/20, new result: VAL_ACC: 72.910000
2025-11-05 10:55:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 14 = ∑14/20, new result: VAL_ACC: 72.470000
2025-11-05 10:56:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 10 = ∑10/20, waiting for 14 jobs, finished 4 jobs
2025-11-05 10:56:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 10:56:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 10 = ∑10/20, new result: VAL_ACC: 72.160000
2025-11-05 10:56:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 10 = ∑10/20, new result: VAL_ACC: 72.490000
2025-11-05 10:56:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 10 = ∑10/20, new result: VAL_ACC: 72.980000
2025-11-05 10:57:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 7 = ∑7/20, waiting for 10 jobs, finished 3 jobs
2025-11-05 10:57:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 10:57:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 7 = ∑7/20, new result: VAL_ACC: 72.740000
2025-11-05 10:57:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 6 = ∑6/20, waiting for 7 jobs, finished 1 job
2025-11-05 10:57:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 6 = ∑6/20, waiting for 6 jobs
2025-11-05 10:57:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 6 = ∑6/20, new result: VAL_ACC: 72.130000
2025-11-05 10:58:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 5 = ∑5/20, waiting for 6 jobs, finished 1 job
2025-11-05 10:58:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 10:58:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 5 = ∑5/20, new result: VAL_ACC: 71.370000
2025-11-05 10:58:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/completed 3/1 = ∑4/20, waiting for 5 jobs, finished 1 job
2025-11-05 10:58:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/completed 3/1 = ∑4/20, waiting for 4 jobs
2025-11-05 10:58:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/completed 3/1 = ∑4/20, new result: VAL_ACC: 71.950000
2025-11-05 10:58:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 3 = ∑3/20, waiting for 4 jobs, finished 1 job
2025-11-05 10:58:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 10:58:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 3 = ∑3/20, new result: VAL_ACC: 72.630000
2025-11-05 10:59:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 10:59:17 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 11:01:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 2 = ∑2/20, new result: VAL_ACC: 72.390000
2025-11-05 11:01:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-05 11:01:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 1 = ∑1/20, waiting for 1 job
2025-11-05 11:06:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 1 = ∑1/20, new result: VAL_ACC: 72.270000
2025-11-05 11:06:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, waiting for 1 job, finished 1 job
2025-11-05 11:11:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #1/20
2025-11-05 11:11:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #2/20
2025-11-05 11:11:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #3/20
2025-11-05 11:11:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #4/20
2025-11-05 11:11:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #5/20
2025-11-05 11:11:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #6/20
2025-11-05 11:11:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #7/20
2025-11-05 11:11:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #8/20
2025-11-05 11:11:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #9/20
2025-11-05 11:11:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #10/20
2025-11-05 11:11:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #11/20
2025-11-05 11:11:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #12/20
2025-11-05 11:11:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #13/20
2025-11-05 11:11:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #14/20
2025-11-05 11:11:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #15/20
2025-11-05 11:11:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #16/20
2025-11-05 11:11:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #17/20
2025-11-05 11:11:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #18/20
2025-11-05 11:11:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #19/20
2025-11-05 11:11:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, getting new HP set #20/20
2025-11-05 11:11:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, requested 20 jobs, got 20, 14.11 s/job
2025-11-05 11:11:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #1/20 start
2025-11-05 11:11:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #2/20 start
2025-11-05 11:11:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #3/20 start
2025-11-05 11:11:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #4/20 start
2025-11-05 11:11:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #5/20 start
2025-11-05 11:11:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #6/20 start
2025-11-05 11:11:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #7/20 start
2025-11-05 11:11:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #8/20 start
2025-11-05 11:11:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #9/20 start
2025-11-05 11:11:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #10/20 start
2025-11-05 11:11:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #11/20 start
2025-11-05 11:11:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #12/20 start
2025-11-05 11:11:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #13/20 start
2025-11-05 11:11:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #14/20 start
2025-11-05 11:11:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #15/20 start
2025-11-05 11:11:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #16/20 start
2025-11-05 11:11:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #17/20 start
2025-11-05 11:11:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #18/20 start
2025-11-05 11:11:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #19/20 start
2025-11-05 11:11:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, eval #20/20 start
2025-11-05 11:12:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, starting new job
2025-11-05 11:12:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, pending 14 = ∑14/20, started new job
2025-11-05 11:12:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, pending 15 = ∑15/20, started new job
2025-11-05 11:12:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, pending 16 = ∑16/20, started new job
2025-11-05 11:12:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, pending 16 = ∑16/20, starting new job
2025-11-05 11:12:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, pending 19 = ∑19/20, started new job
2025-11-05 11:12:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, pending 20 = ∑20/20, started new job
2025-11-05 11:12:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, pending 20 = ∑20/20, waiting for 20 jobs
2025-11-05 11:14:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending 4/16 = ∑20/20, waiting for 20 jobs
2025-11-05 11:17:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending 5/15 = ∑20/20, waiting for 20 jobs
2025-11-05 11:22:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending 15/5 = ∑20/20, waiting for 20 jobs
2025-11-05 11:31:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running/pending 19/1 = ∑20/20, waiting for 20 jobs
2025-11-05 11:41:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 11:57:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 20 = ∑20/20, new result: VAL_ACC: 68.990000
2025-11-05 11:58:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 11:58:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 11:58:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.07, running 19 = ∑19/20, new result: VAL_ACC: 73.120000
2025-11-05 11:58:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 11:58:51 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 11:59:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 18 = ∑18/20, new result: VAL_ACC: 72.740000
2025-11-05 11:59:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 11:59:35 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 12:00:32 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 17 = ∑17/20, new result: VAL_ACC: 73.000000
2025-11-05 12:00:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 12:00:54 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 12:01:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 16 = ∑16/20, new result: VAL_ACC: 70.070000
2025-11-05 12:01:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 12:01:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 12:02:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.12, running 15 = ∑15/20, new result: VAL_ACC: 73.260000
2025-11-05 12:03:02 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.26, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 12:03:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.26, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 12:03:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.26, running 14 = ∑14/20, new result: VAL_ACC: 73.380000
2025-11-05 12:03:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.38, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-05 12:03:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.38, running 13 = ∑13/20, waiting for 13 jobs
2025-11-05 12:07:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.38, running 13 = ∑13/20, new result: VAL_ACC: 73.450000
2025-11-05 12:07:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-05 12:07:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 12 = ∑12/20, waiting for 12 jobs
2025-11-05 12:07:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 12 = ∑12/20, new result: VAL_ACC: 70.950000
2025-11-05 12:08:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-05 12:08:08 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 11 = ∑11/20, waiting for 11 jobs
2025-11-05 12:10:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 11 = ∑11/20, new result: VAL_ACC: 72.120000
2025-11-05 12:10:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-05 12:10:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 12:10:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 10 = ∑10/20, new result: VAL_ACC: 72.880000
2025-11-05 12:11:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 9 = ∑9/20, waiting for 10 jobs, finished 1 job
2025-11-05 12:11:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 9 = ∑9/20, waiting for 9 jobs
2025-11-05 12:12:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 9 = ∑9/20, new result: VAL_ACC: 72.670000
2025-11-05 12:12:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 8 = ∑8/20, waiting for 9 jobs, finished 1 job
2025-11-05 12:12:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 8 = ∑8/20, waiting for 8 jobs
2025-11-05 12:18:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 8 = ∑8/20, new result: VAL_ACC: 70.890000
2025-11-05 12:18:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 7 = ∑7/20, waiting for 8 jobs, finished 1 job
2025-11-05 12:18:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 7 = ∑7/20, waiting for 7 jobs
2025-11-05 12:18:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 7 = ∑7/20, new result: VAL_ACC: 71.640000
2025-11-05 12:18:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 7 = ∑7/20, new result: VAL_ACC: 73.300000
2025-11-05 12:19:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 5 = ∑5/20, waiting for 7 jobs, finished 2 jobs
2025-11-05 12:19:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 5 = ∑5/20, waiting for 5 jobs
2025-11-05 12:20:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 5 = ∑5/20, new result: VAL_ACC: 71.200000
2025-11-05 12:20:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 5 = ∑5/20, new result: VAL_ACC: 70.170000
2025-11-05 12:21:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 3 = ∑3/20, waiting for 5 jobs, finished 2 jobs
2025-11-05 12:21:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 3 = ∑3/20, waiting for 3 jobs
2025-11-05 12:26:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 3 = ∑3/20, new result: VAL_ACC: 72.540000
2025-11-05 12:26:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 2 = ∑2/20, waiting for 3 jobs, finished 1 job
2025-11-05 12:26:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 2 = ∑2/20, waiting for 2 jobs
2025-11-05 12:30:47 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 2 = ∑2/20, new result: VAL_ACC: 69.030000
2025-11-05 12:31:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 1 = ∑1/20, waiting for 2 jobs, finished 1 job
2025-11-05 12:31:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, running 1 = ∑1/20, waiting for 1 job
2025-11-05 13:22:16 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 2, best VAL_ACC: 73.45, timeout 1 = ∑1/20, job_failed
2025-11-05 13:22:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, waiting for 1 job, finished 1 job
2025-11-05 13:27:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #1/20
2025-11-05 13:27:01 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #2/20
2025-11-05 13:27:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #3/20
2025-11-05 13:27:03 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #4/20
2025-11-05 13:27:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #5/20
2025-11-05 13:27:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #6/20
2025-11-05 13:27:05 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #7/20
2025-11-05 13:27:06 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #8/20
2025-11-05 13:27:07 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #9/20
2025-11-05 13:27:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #10/20
2025-11-05 13:27:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #11/20
2025-11-05 13:27:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #12/20
2025-11-05 13:27:10 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #13/20
2025-11-05 13:27:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #14/20
2025-11-05 13:27:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #15/20
2025-11-05 13:27:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #16/20
2025-11-05 13:27:12 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #17/20
2025-11-05 13:27:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #18/20
2025-11-05 13:27:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #19/20
2025-11-05 13:27:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, getting new HP set #20/20
2025-11-05 13:27:15 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, requested 20 jobs, got 20, 14.55 s/job
2025-11-05 13:27:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #1/20 start
2025-11-05 13:27:21 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #2/20 start
2025-11-05 13:27:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #3/20 start
2025-11-05 13:27:25 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #4/20 start
2025-11-05 13:27:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #5/20 start
2025-11-05 13:27:28 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #6/20 start
2025-11-05 13:27:29 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #7/20 start
2025-11-05 13:27:31 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #8/20 start
2025-11-05 13:27:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #9/20 start
2025-11-05 13:27:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #10/20 start
2025-11-05 13:27:37 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #11/20 start
2025-11-05 13:27:38 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #12/20 start
2025-11-05 13:27:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #13/20 start
2025-11-05 13:27:43 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #14/20 start
2025-11-05 13:27:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #15/20 start
2025-11-05 13:27:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #16/20 start
2025-11-05 13:27:49 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #17/20 start
2025-11-05 13:27:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #18/20 start
2025-11-05 13:27:52 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #19/20 start
2025-11-05 13:27:53 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, eval #20/20 start
2025-11-05 13:28:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, starting new job
2025-11-05 13:28:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending 1 = ∑1/20, starting new job
2025-11-05 13:28:11 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending 2 = ∑2/20, starting new job
2025-11-05 13:28:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending 12 = ∑12/20, started new job
2025-11-05 13:28:19 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending 15 = ∑15/20, started new job
2025-11-05 13:28:20 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending 16 = ∑16/20, started new job
2025-11-05 13:28:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending 16 = ∑16/20, starting new job
2025-11-05 13:28:26 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending 19 = ∑19/20, started new job
2025-11-05 13:28:27 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending/unknown 19/1 = ∑20/20, started new job
2025-11-05 13:28:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending/unknown 19/1 = ∑20/20, waiting for 20 jobs
2025-11-05 13:28:34 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, pending 20 = ∑20/20, waiting for 20 jobs
2025-11-05 13:30:59 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, running/pending 12/8 = ∑20/20, waiting for 20 jobs
2025-11-05 13:33:33 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, running 20 = ∑20/20, waiting for 20 jobs
2025-11-05 13:53:04 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.45, running 20 = ∑20/20, new result: VAL_ACC: 73.470000
2025-11-05 13:53:41 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 19 = ∑19/20, waiting for 20 jobs, finished 1 job
2025-11-05 13:53:42 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 19 = ∑19/20, waiting for 19 jobs
2025-11-05 13:55:22 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 19 = ∑19/20, new result: VAL_ACC: 73.470000
2025-11-05 13:55:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 18 = ∑18/20, waiting for 19 jobs, finished 1 job
2025-11-05 13:55:55 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 18 = ∑18/20, waiting for 18 jobs
2025-11-05 14:02:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 18 = ∑18/20, new result: VAL_ACC: 72.890000
2025-11-05 14:02:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 17 = ∑17/20, waiting for 18 jobs, finished 1 job
2025-11-05 14:02:50 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 17 = ∑17/20, waiting for 17 jobs
2025-11-05 14:03:48 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 17 = ∑17/20, new result: VAL_ACC: 73.140000
2025-11-05 14:04:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 16 = ∑16/20, waiting for 17 jobs, finished 1 job
2025-11-05 14:04:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 16 = ∑16/20, waiting for 16 jobs
2025-11-05 14:04:18 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 16 = ∑16/20, new result: VAL_ACC: 72.660000
2025-11-05 14:04:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 15 = ∑15/20, waiting for 16 jobs, finished 1 job
2025-11-05 14:04:44 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 15 = ∑15/20, waiting for 15 jobs
2025-11-05 14:05:30 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 15 = ∑15/20, new result: VAL_ACC: 73.380000
2025-11-05 14:05:56 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 14 = ∑14/20, waiting for 15 jobs, finished 1 job
2025-11-05 14:05:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 14 = ∑14/20, waiting for 14 jobs
2025-11-05 14:05:58 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 14 = ∑14/20, new result: VAL_ACC: 73.080000
2025-11-05 14:06:23 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 13 = ∑13/20, waiting for 14 jobs, finished 1 job
2025-11-05 14:06:24 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 13 = ∑13/20, waiting for 13 jobs
2025-11-05 14:06:45 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 13 = ∑13/20, new result: VAL_ACC: 72.800000
2025-11-05 14:07:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 12 = ∑12/20, waiting for 13 jobs, finished 1 job
2025-11-05 14:07:09 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 12 = ∑12/20, waiting for 12 jobs
2025-11-05 14:07:46 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 12 = ∑12/20, new result: VAL_ACC: 72.890000
2025-11-05 14:08:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 11 = ∑11/20, waiting for 12 jobs, finished 1 job
2025-11-05 14:08:13 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 11 = ∑11/20, waiting for 11 jobs
2025-11-05 14:08:14 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 11 = ∑11/20, new result: VAL_ACC: 72.400000
2025-11-05 14:08:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 10 = ∑10/20, waiting for 11 jobs, finished 1 job
2025-11-05 14:08:40 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 10 = ∑10/20, waiting for 10 jobs
2025-11-05 14:08:57 (76313c10-831d-43e7-a4b8-38ab472d921f): BOTORCH_MODULAR, failed: 3, best VAL_ACC: 73.47, running 10 = ∑10/20, new result: VAL_ACC: 73.210000
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_with_swiglu_with_both_activations |
| mem_gb | 40 |
| parameter | [['epochs', 'range', '50', '250', 'int', 'false'], ['lr', 'range', '0.0001', '0.003', 'float', 'false'], ['batch_size', 'range', '8', '256', 'int', |
| 'false'], ['hidden_size', 'range', '500', '8000', 'int', 'false'], ['dropout', 'range', '0', '0.6', 'float', 'false'], ['num_dense_layers', 'fixed', |
| '1'], ['filter', 'range', '20', '250', 'int', 'false'], ['num_conv_layers', 'range', '4', '6', 'int', 'false'], ['pool_kernel', 'range', '1', '4', |
| 'int', 'false'], ['activation', 'choice', 'relu,tanh,leaky_relu,sigmoid,swiglu']] |
| 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 | None |
| worker_generator_path | None |
| save_to_database | False |
| range_max_difference | 1000000 |
| skip_search | False |
| dont_warm_start_refitting | False |
| refit_on_cv | False |
| fit_out_of_design | False |
| fit_abandoned | False |
| dont_jit_compile | False |
| num_restarts | 20 |
| raw_samples | 1024 |
| max_num_of_parallel_sruns | 16 |
| no_transform_inputs | False |
| no_normalize_y | False |
| transforms | [] |
| number_of_generators | 1 |
| num_parallel_jobs | 20 |
| worker_timeout | 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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1762347960.1165,20,13,65
1762348006.9203,20,13,65
1762348027.8058,20,12,60
1762348068.5673,20,12,60
1762348091.6102,20,10,50
1762348137.5357,20,10,50
1762348138.5022,20,9,45
1762348138.8918,20,9,45
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1762261718,807.3671875,30.5
1762261808,846.17578125,17.3
1762261870,846.1875,9.3
1762261930,846.18359375,22.7
1762261990,846.19140625,13.4
1762262050,853.5390625,10.4
1762262110,853.5546875,16.3
1762262170,853.56640625,19
1762262230,853.578125,22.5
1762262290,853.546875,14.8
1762262350,853.609375,19.4
1762262411,853.69140625,20.2
1762262471,853.5703125,18.6
1762262531,853.6015625,21.1
1762262591,856.30859375,19
1762262651,856.28515625,22.3
1762262711,856.296875,13.6
1762262771,857.34375,20.5
1762262831,857.34765625,23
1762262891,857.30859375,17
1762262951,857.32421875,20.2
1762263011,857.3125,18.6
1762263071,857.33984375,20.2
1762263131,857.25,23.4
1762263191,857.21875,12.4
1762263255,857.25,9
1762263315,857.41796875,21.9
1762263376,857.4296875,15.8
1762263436,857.4375,11.2
1762263496,857.59375,22.6
1762263556,857.5859375,11.7
1762263616,858.1953125,11.2
1762263676,858.19140625,16.9
1762263740,876.33203125,14.4
1762263800,893.36328125,20.9
1762263860,894.33984375,23.3
1762263920,894.8515625,13.6
1762263980,895.171875,23
1762264040,895.171875,17.4
1762264101,895.16796875,16.6
1762264162,895.3125,14.3
1762264222,895.3125,21.1
1762264282,895.3125,14.5
1762264342,895.48046875,20.5
1762264402,895.48046875,23.1
1762264462,895.8046875,16.5
1762264522,895.8046875,19.8
1762264582,895.8046875,19.1
1762264642,895.8046875,20
1762264702,895.8046875,23.2
1762264762,895.8046875,14.1
1762264824,896.125,21.1
1762264884,896.125,21.8
1762264944,896.125,20.1
1762265006,896.21484375,22.5
1762265066,896.21484375,15.3
1762265126,896.21484375,20.8
1762265186,896.21484375,24.4
1762265246,896.71484375,17.1
1762265306,896.71484375,22
1762265366,896.71484375,22.8
1762265426,896.71484375,20.6
1762265486,896.71484375,23.3
1762265546,896.71484375,16.3
1762265606,896.71484375,21.8
1762265666,896.71484375,24.6
1762265726,896.71484375,17
1762265786,896.71484375,21.7
1762265846,896.71484375,23.4
1762265906,896.71484375,19.9
1762265966,896.71484375,22
1762266026,896.71484375,17.1
1762266086,897.21484375,21.7
1762266146,897.21484375,25.1
1762266206,897.21484375,16.7
1762266266,897.21484375,21.5
1762266326,897.21484375,11.2
1762266386,897.21484375,25.9
1762266446,897.21484375,19.2
1762266506,897.21484375,21.7
1762266566,897.21484375,19.4
1762266626,897.21484375,21.9
1762266686,897.21484375,22.5
1762266746,897.71484375,15.7
1762266806,897.71484375,20.2
1762266866,897.71484375,11.3
1762266926,897.71484375,9.6
1762266986,897.71484375,20.1
1762267046,897.71484375,9.4
1762267106,897.71484375,7.8
1762267166,897.71484375,7.7
1762267226,897.71484375,11.1
1762267286,897.71484375,16.6
1762267346,898.21484375,20.5
1762267406,898.21484375,23.2
1762267466,898.21484375,14.1
1762267526,898.21484375,18.6
1762267590,898.21484375,20.3
1762267650,898.21484375,14.8
1762267710,898.21484375,5.8
1762267770,898.21484375,5.7
1762267830,898.21484375,5.7
1762267890,898.21484375,5.7
1762268087,898.21484375,8.3
1762268147,898.21484375,7.5
1762268207,898.71484375,6.5
1762268395,898.71484375,5.6
1762268455,898.71484375,20.1
1762268515,898.71484375,22.2
1762268575,898.71484375,15.6
1762268635,898.71484375,19.9
1762268697,914.21484375,20.1
1762268789,910.6875,19.6
1762268849,910.66015625,18.8
1762268909,910.69140625,21.5
1762268969,910.6796875,14.3
1762269029,910.68359375,20.1
1762269095,910.8125,19.9
1762269156,910.7734375,16.2
1762269216,910.8125,20.9
1762269276,910.8984375,13
1762269336,910.890625,19.3
1762269396,907.56640625,22.8
1762269456,907.6484375,16.5
1762269516,907.62890625,23.3
1762269583,907.6875,16.1
1762269646,907.6875,21.2
1762269706,907.75,21.3
1762269766,907.78125,18.7
1762269826,907.8125,21.2
1762269886,907.83203125,14.6
1762269946,907.88671875,20.1
1762270006,907.90234375,22.5
1762270066,907.94921875,15.7
1762270126,908.015625,19.7
1762270186,908.015625,20.5
1762270246,908.0703125,19.1
1762270306,908.10546875,22.5
1762270366,908.1640625,14.7
1762270426,908.16015625,20.2
1762270487,908.2578125,23.1
1762270547,908.26171875,16
1762270607,908.30078125,20.1
1762270667,908.35546875,21.1
1762270727,908.37109375,18.6
1762270787,908.42578125,19.4
1762270847,908.4609375,11.4
1762270907,908.54296875,17.3
1762270967,908.546875,20.8
1762271027,908.5703125,13.1
1762271087,908.6640625,17.8
1762271147,908.69140625,18.4
1762271207,908.7578125,17
1762271267,908.796875,20.5
1762271327,908.83203125,12.7
1762271393,908.8671875,18
1762271453,908.890625,22
1762271513,908.921875,13.7
1762271573,908.93359375,18.6
1762271633,909.00390625,20.4
1762271693,909.0390625,17.1
1762271753,909.08203125,20.3
1762271813,909.11328125,17.8
1762271873,911.125,20.3
1762271933,911.1953125,23.8
1762271993,911.19140625,15.5
1762272053,912.08984375,18.9
1762272113,912.0859375,20.8
1762272173,912.25390625,16.6
1762272233,912.2421875,19.7
1762272293,914.2734375,17.3
1762272353,914.2734375,20.4
1762272413,914.2734375,23.6
1762272474,914.2734375,15.9
1762272534,914.2734375,20.4
1762272594,914.2734375,22.9
1762272672,916.2734375,19.3
1762272853,928.1484375,18.1
1762272913,924.265625,20
1762272973,924.27734375,18
1762273035,924.27734375,16
1762273095,924.265625,17.2
1762273155,924.265625,16.5
1762273215,924.265625,8.7
1762273275,924.265625,13.3
1762273335,924.265625,23.1
1762273395,924.29296875,11.8
1762273455,924.29296875,14.6
1762273515,924.265625,20.3
1762273596,929.65625,19.3
1762273656,929.66796875,10.5
1762273716,929.66796875,18.2
1762273777,929.65625,9.4
1762273837,929.65625,19.4
1762273897,929.65625,17.1
1762273957,929.7109375,10.5
1762274017,929.65625,22.9
1762274077,929.69140625,10.6
1762274137,929.66796875,9.3
1762274197,929.65625,19.2
1762274258,929.71484375,10
1762274319,929.68359375,21.2
1762274379,929.65625,17.3
1762274439,929.65625,21.5
1762274499,929.671875,12.2
1762274559,929.6640625,10.1
1762274619,929.70703125,20.2
1762274679,929.70703125,22.5
1762274739,929.73828125,18.1
1762274807,929.7421875,20.1
1762274868,929.76953125,19.3
1762274943,929.78515625,15.1
1762275003,929.828125,15.5
1762275063,929.8046875,7.6
1762275123,929.83203125,12.8
1762275183,929.84765625,19.4
1762275243,929.87890625,16.6
1762275303,929.91015625,17.7
1762275363,929.921875,7.1
1762275423,929.9375,14.1
1762275483,929.9453125,19.2
1762275543,929.97265625,14.6
1762275603,929.9921875,18.5
1762275663,930.01953125,7.4
1762275724,930.046875,8.1
1762275784,930.05078125,6.5
1762275845,930.09375,6
1762275905,930.0859375,7.3
1762275965,930.11328125,8.4
1762276025,930.12890625,9.5
1762276085,930.16015625,9.8
1762276145,930.17578125,9.9
1762276205,930.1953125,9.9
1762276265,930.22265625,10.6
1762276325,930.28125,17.9
1762276385,930.28125,11.8
1762276445,930.26953125,19.2
1762276505,930.29296875,21.9
1762276565,930.3125,16
1762276625,930.33984375,19
1762276685,930.35546875,17.3
1762276745,930.375,19.2
1762276805,930.40234375,22.8
1762276865,930.41796875,14.2
1762276925,930.44921875,19.1
1762276985,930.46484375,17.2
1762277045,930.48046875,19
1762277105,930.49609375,22.7
1762277165,930.52734375,14.1
1762277225,931.34375,19.1
1762277285,933.4453125,21.6
1762277345,933.578125,16.7
1762277405,933.578125,19.3
1762277465,933.578125,15.2
1762277525,936.296875,18.1
1762277585,936.296875,19.3
1762277645,936.296875,19.1
1762277708,944.0546875,15.7
1762277802,980.84765625,18.4
1762277862,980.8828125,16.9
1762277922,980.85546875,8.5
1762277982,980.875,13.6
1762278042,980.84765625,18.5
1762278102,980.88671875,8.9
1762278162,980.8515625,22.2
1762278222,980.8359375,14.4
1762278282,980.8515625,19.3
1762278343,980.8515625,11.5
1762278403,980.87890625,10.1
1762278463,980.9453125,20.4
1762278523,980.94921875,19.3
1762278583,981.00390625,20.4
1762278643,980.984375,24.3
1762278703,981.04296875,15.7
1762278765,981.0546875,21.1
1762278825,981.109375,23
1762278885,981.15234375,17.2
1762278945,981.1640625,16.9
1762279005,981.20703125,17.2
1762279065,981.2265625,32.1
1762279125,981.2578125,28.2
1762279185,981.2734375,16.3
1762279245,981.33984375,13.2
1762279305,981.37890625,12.5
1762279365,981.3828125,13.1
1762279425,981.41015625,14.3
1762279485,981.47265625,14.4
1762279545,981.52734375,14.3
1762279605,981.5234375,14.3
1762279665,984.06640625,14.4
1762279725,984.16796875,14.2
1762279785,984.1796875,14.4
1762279845,984.20703125,14.3
1762279905,984.26953125,14.2
1762279965,984.26953125,14.2
1762280025,984.3359375,14.2
1762280085,984.3671875,14.1
1762280145,984.390625,14.5
1762280205,984.43359375,15.5
1762280265,984.4296875,15.6
1762280325,984.453125,15.6
1762280385,984.5,15.6
1762280445,984.5546875,15.6
1762280505,984.578125,15.5
1762280565,984.59375,15.6
1762280625,984.6171875,15.9
1762280685,984.67578125,15.7
1762280746,984.6875,15.1
1762280806,984.7265625,16.3
1762280866,984.75390625,15.6
1762280926,984.79296875,15.7
1762280986,984.83203125,15.4
1762281046,984.87109375,14.8
1762281110,986.47265625,13.7
1762281170,986.6328125,15.7
1762281231,986.83984375,15
1762281291,986.625,14.8
1762281351,986.60546875,15.4
1762281411,986.8671875,15.3
1762281475,987.11328125,15.5
1762281539,987.40234375,15
1762281602,987.79296875,15.5
1762281678,987.78515625,14.6
1762281757,990.3203125,15.5
1762281865,993.8203125,15.4
1762281957,1005.54296875,16
1762282017,1005.47265625,14.5
1762282077,1005.46875,14.4
1762282137,1005.46484375,14.4
1762282197,1005.46484375,14.1
1762282257,1005.47265625,14.1
1762282317,1005.49609375,14.1
1762282377,1005.484375,14.1
1762282437,1005.47265625,13.5
1762282497,1005.46484375,13.6
1762282557,1005.49609375,14.1
1762282617,1005.46875,13.6
1762282677,1005.484375,13.7
1762282737,1005.48046875,13.4
1762282797,1005.4609375,14.3
1762282857,1005.4453125,14.1
1762282917,1005.48828125,14.1
1762282977,1005.49609375,14.2
1762283037,1005.50390625,14.2
1762283097,1005.48828125,14.2
1762283157,1005.46484375,14
1762283217,1005.5078125,13.9
1762283277,1005.53515625,14.1
1762283337,1005.59375,14.1
1762283397,998.67578125,12.5
1762283457,998.7109375,12.5
1762283517,998.703125,12.6
1762283577,998.76171875,12.4
1762283637,998.7578125,12.6
1762283697,998.82421875,12.5
1762283757,998.828125,12.5
1762283817,998.875,12.3
1762283877,998.90234375,12.5
1762283937,998.9375,12.4
1762283997,999.0078125,12.4
1762284057,999.01171875,12.2
1762284118,999.01953125,12.4
1762284178,999.1171875,12.4
1762284238,999.08203125,12.6
1762284298,999.1328125,12.5
1762284358,999.16796875,12.1
1762284418,999.1640625,12.3
1762284478,999.19921875,12.3
1762284538,999.2578125,12.2
1762284598,999.2890625,12.3
1762284661,1002.5625,12.4
1762284721,1002.68359375,12.5
1762284781,1003.68359375,12.7
1762284873,1006.58203125,12.7
1762284933,1006.58203125,12.6
1762285073,1009.71875,13.3
1762285136,1022.125,50
1762285226,1020.55859375,12.2
1762285286,1020.52734375,12.5
1762285347,1020.52734375,12.4
1762285407,1020.5390625,12.5
1762285467,1020.53125,12.5
1762285527,1020.5625,12.7
1762285587,1020.57421875,12.7
1762285647,1020.5390625,12.7
1762285707,1020.52734375,12.7
1762285767,1020.5546875,12.7
1762285827,1020.51953125,12.7
1762285887,1020.5390625,12.7
1762285947,1020.55859375,12.8
1762286007,1020.5546875,12.7
1762286067,1020.58203125,12.8
1762286127,1020.5234375,12.9
1762286187,1020.5390625,13
1762286247,1020.52734375,10.4
1762286307,1020.5625,13
1762286367,1020.55078125,13
1762286427,1020.5390625,13
1762286487,1021.44140625,14.3
1762286547,1021.47265625,13.2
1762286607,1021.4453125,13.1
1762286667,1021.4765625,12.8
1762286727,1021.4609375,12.9
1762286787,1021.4453125,13
1762286847,1021.44921875,13
1762286907,1021.4765625,13
1762286967,1021.44140625,13.1
1762287027,1021.44921875,13.2
1762287087,1021.46484375,13.3
1762287147,1014.19140625,13.4
1762287207,1014.16015625,13.6
1762287267,1014.16015625,13.9
1762287327,1014.171875,13.9
1762287387,1014.1875,13.8
1762287448,1014.1484375,13.9
1762287508,1014.16796875,13.8
1762287568,1014.21484375,13.7
1762287628,1014.19921875,13.8
1762287688,1014.17578125,13.9
1762287748,1014.16015625,13.7
1762287810,1015.078125,13.8
1762287870,1015.07421875,13.8
1762287930,1015.046875,13.9
1762287990,1015.25,14.1
1762288056,1015.31640625,13
1762288116,1015.4921875,15.5
1762288177,1015.5078125,14.3
1762288237,1015.4921875,15.2
1762288297,1018.015625,15.1
1762288357,1018.14453125,15.2
1762288418,1018.1328125,15.3
1762288478,1017.41796875,15.6
1762288538,1022.55859375,15.5
1762288598,1022.66796875,15.4
1762288658,1022.66796875,15.4
1762288718,1022.66796875,15.4
1762288778,1022.66796875,15.5
1762288838,1022.66796875,15.2
1762288898,1022.66796875,15.4
1762288959,1022.66796875,15.4
1762289019,1022.84375,15.4
1762289082,1023.03125,15.5
1762289142,1023.03125,13.7
1762289202,1023.03125,15.3
1762289263,1023.03125,15.3
1762289323,1023.03125,15.5
1762289383,1023.03125,15.5
1762289443,1023.53125,15.4
1762289503,1023.53125,15.3
1762289563,1023.53125,15.7
1762289623,1023.53125,15.4
1762289683,1023.53125,15.4
1762289743,1023.53125,14.4
1762289803,1023.53125,16.1
1762289863,1023.53125,15.8
1762289923,1023.53125,15.8
1762289983,1023.53125,15.7
1762290043,1023.53125,15.7
1762290103,1023.53125,15.5
1762290163,1023.53125,15.3
1762290223,1023.53125,15.8
1762290333,1031.53125,16.8
1762290426,1035.09765625,15.7
1762290486,1035.1015625,15.5
1762290546,1035.09375,15.5
1762290606,1035.0859375,15.5
1762290666,1035.11328125,15.5
1762290726,1035.11328125,15.5
1762290786,1035.1328125,15.6
1762290847,1035.08984375,15.4
1762290907,1035.140625,15.6
1762290971,1035.12890625,15.5
1762291031,1035.1015625,15.5
1762291091,1035.1328125,15.5
1762291151,1035.1171875,15.5
1762291213,1035.1171875,14.9
1762291273,1035.13671875,14.7
1762291333,1035.1171875,14.9
1762291393,1035.1171875,15
1762291453,1035.08984375,14.9
1762291513,1035.1015625,12.2
1762291573,1035.13671875,12.2
1762291633,1035.13671875,12.1
1762291693,1035.1171875,11.9
1762291753,1035.125,12.3
1762291813,1035.1484375,14.3
1762291873,1035.10546875,13.7
1762291933,1035.13671875,13.7
1762291993,1035.125,13.7
1762292053,1035.1171875,13.9
1762292113,1035.10546875,13.7
1762292173,1035.15234375,13.8
1762292233,1035.10546875,13.8
1762292293,1035.13671875,13.7
1762292353,1035.1015625,13.7
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VAL_ACC (goal: maximize)
Best value: 73.47
Achieved at:
- run_time = 1531
- epochs = 83
- lr = 0.00057328632016809
- batch_size = 104
- hidden_size = 7806
- dropout = 0.59999998879365
- filter = 250
- num_conv_layers = 5
- pool_kernel = 3
- num_dense_layers = 1
Parameter statistics
| Parameter | Min | Max | Mean | Std Dev | Count |
|---|
| run_time | 706 | 6793 | 2542.0225 | 889.5354 | 355 |
| VAL_ACC | 42.71 | 73.47 | 70.48 | 3.4623 | 355 |
| epochs | 50 | 250 | 167.2868 | 56.8896 | 380 |
| lr | 0.0001 | 0.003 | 0.0017 | 0.0008 | 380 |
| batch_size | 16 | 256 | 175.8395 | 53.9259 | 380 |
| hidden_size | 508 | 7987 | 5411.8053 | 1735.4688 | 380 |
| dropout | 0 | 0.6 | 0.3754 | 0.2024 | 380 |
| filter | 21 | 250 | 234.9868 | 37.1088 | 380 |
| num_conv_layers | 4 | 6 | 5.2211 | 0.8294 | 380 |
| pool_kernel | 1 | 4 | 3.1289 | 0.5909 | 380 |
| activation | No numerical statistics available |
| num_dense_layers | 1 | 1 | 1 | 0 | 380 |
Show SLURM-Job-ID (if it exists)
submitit INFO (2025-11-04 14:09:21,062) - Starting with JobEnvironment(job_id=1216049, hostname=c115, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-11-04 14:09:21,065) - Loading pickle: /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/runs/mnist_mono_with_swiglu_with_both_activations/0/single_runs/1216049/1216049_submitted.pkl
Trial-Index: 10
/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": 150, "lr": 0.0014388513188809157, "batch_size": 69, "hidden_size": 6000, "dropout": 0.13518862556666136, "filter": 169, "num_conv_layers": 5, "pool_kernel": 4, "activation": "relu", "num_dense_layers": 1}
Debug-Infos:
========
DEBUG INFOS START:
Program-Code: python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.0014388513188809157 --batch_size 69 --hidden_size 6000 --dropout 0.13518862556666136343 --filter 169 --num_conv_layers 5 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu
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: 1216049
Status-Change-Time: 1762264114.0
Size: 20257 Bytes
Permissions: -rwxr-xr-x
Owner: s3811141
Last access: 1762264115.0
Last modification: 1762260506.0
Hostname: c115
========
DEBUG INFOS END
python3 /data/horse/ws/s3811141-omniopt_mnist_test_call/omniopt/.tests/mnist/train --epochs 150 --learning_rate 0.0014388513188809157 --batch_size 69 --hidden_size 6000 --dropout 0.13518862556666136343 --filter 169 --num_conv_layers 5 --activation relu --pool_kernel 4 --num_dense_layers 1 --dense_activation relu
stdout:
Hyperparameters
╭──────────────────┬───────────────────────╮
│ Parameter │ Value │
├──────────────────┼───────────────────────┤
│ Epochs │ 150 │
│ Num Dense Layers │ 1 │
│ Batch size │ 69 │
│ Learning rate │ 0.0014388513188809157 │
│ Hidden size │ 6000 │
│ Dropout │ 0.13518862556666136 │
│ Optimizer │ adam │
│ Momentum │ 0.9 │
│ Weight Decay │ 0.0001 │
│ Activation │ relu │
│ Dense-Activation │ relu │
│ Init Method │ kaiming │
│ Seed │ None │
│ Conv Filters │ 169 │
│ Num Conv Layers │ 5 │
│ Conv Kernel │ 3 │
│ Conv Stride │ 1 │
│ Conv Padding │ 1 │
│ Pool-Stride │ 2 │
│ Pool-Kernel │ 4 │
╰──────────────────┴───────────────────────╯
Model Summary
╭─────────────────┬──────────────────┬──────────╮
│ Layer │ Output Shape │ Param # │
├─────────────────┼──────────────────┼──────────┤
│ conv::conv0 │ [1, 169, 32, 32] │ 4732 │
│ conv::bn0 │ [1, 169, 32, 32] │ 338 │
│ conv::act_conv0 │ [1, 169, 32, 32] │ 0 │
│ conv::conv1 │ [1, 169, 32, 32] │ 257218 │
│ conv::bn1 │ [1, 169, 32, 32] │ 338 │
│ conv::act_conv1 │ [1, 169, 32, 32] │ 0 │
│ conv::pool1 │ [1, 169, 15, 15] │ 0 │
│ conv::conv2 │ [1, 169, 15, 15] │ 257218 │
│ conv::bn2 │ [1, 169, 15, 15] │ 338 │
│ conv::act_conv2 │ [1, 169, 15, 15] │ 0 │
│ conv::conv3 │ [1, 169, 15, 15] │ 257218 │
│ conv::bn3 │ [1, 169, 15, 15] │ 338 │
│ conv::act_conv3 │ [1, 169, 15, 15] │ 0 │
│ conv::pool2 │ [1, 169, 6, 6] │ 0 │
│ conv::conv4 │ [1, 169, 6, 6] │ 257218 │
│ conv::bn4 │ [1, 169, 6, 6] │ 338 │
│ conv::act_conv4 │ [1, 169, 6, 6] │ 0 │
│ dense::fc0 │ [1, 6000] │ 36510000 │
│ dense::act0 │ [1, 6000] │ 0 │
│ dense::dropout0 │ [1, 6000] │ 0 │
│ dense::output │ [1, 100] │ 600100 │
│ Total │ - │ 38145394 │
╰─────────────────┴──────────────────┴──────────╯
──────────────────────────── Epoch 1/150 - Training ────────────────────────────
Epoch-Loss: 3280.4901
─────────────────────────── Epoch 1/150 - Validation ───────────────────────────
╔══ Epoch 1/150 Summary ══╗
║ Validation Loss: 3.6065 ║
║ Accuracy: 12.84% ║
╚═════════════════════════╝
──────────────────────────── Epoch 2/150 - Training ────────────────────────────
Epoch-Loss: 2529.1736
─────────────────────────── Epoch 2/150 - Validation ───────────────────────────
╔══ Epoch 2/150 Summary ══╗
║ Validation Loss: 3.0740 ║
║ Accuracy: 20.97% ║
╚═════════════════════════╝
──────────────────────────── Epoch 3/150 - Training ────────────────────────────
Epoch-Loss: 2224.4999
─────────────────────────── Epoch 3/150 - Validation ───────────────────────────
╔══ Epoch 3/150 Summary ══╗
║ Validation Loss: 2.8122 ║
║ Accuracy: 27.39% ║
╚═════════════════════════╝
──────────────────────────── Epoch 4/150 - Training ────────────────────────────
Epoch-Loss: 2023.1562
─────────────────────────── Epoch 4/150 - Validation ───────────────────────────
╔══ Epoch 4/150 Summary ══╗
║ Validation Loss: 2.5393 ║
║ Accuracy: 32.59% ║
╚═════════════════════════╝
──────────────────────────── Epoch 5/150 - Training ────────────────────────────
Epoch-Loss: 1855.3871
─────────────────────────── Epoch 5/150 - Validation ───────────────────────────
╔══ Epoch 5/150 Summary ══╗
║ Validation Loss: 2.2110 ║
║ Accuracy: 39.55% ║
╚═════════════════════════╝
──────────────────────────── Epoch 6/150 - Training ────────────────────────────
Epoch-Loss: 1708.1886
─────────────────────────── Epoch 6/150 - Validation ───────────────────────────
╔══ Epoch 6/150 Summary ══╗
║ Validation Loss: 2.0638 ║
║ Accuracy: 43.71% ║
╚═════════════════════════╝
──────────────────────────── Epoch 7/150 - Training ────────────────────────────
Epoch-Loss: 1580.4700
─────────────────────────── Epoch 7/150 - Validation ───────────────────────────
╔══ Epoch 7/150 Summary ══╗
║ Validation Loss: 2.0377 ║
║ Accuracy: 44.84% ║
╚═════════════════════════╝
──────────────────────────── Epoch 8/150 - Training ────────────────────────────
Epoch-Loss: 1457.8331
─────────────────────────── Epoch 8/150 - Validation ───────────────────────────
╔══ Epoch 8/150 Summary ══╗
║ Validation Loss: 1.9355 ║
║ Accuracy: 48.98% ║
╚═════════════════════════╝
──────────────────────────── Epoch 9/150 - Training ────────────────────────────
Epoch-Loss: 1349.2393
─────────────────────────── Epoch 9/150 - Validation ───────────────────────────
╔══ Epoch 9/150 Summary ══╗
║ Validation Loss: 1.8463 ║
║ Accuracy: 50.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 10/150 - Training ────────────────────────────
Epoch-Loss: 1258.6219
────────────────────────── Epoch 10/150 - Validation ───────────────────────────
╔═ Epoch 10/150 Summary ══╗
║ Validation Loss: 1.6896 ║
║ Accuracy: 54.12% ║
╚═════════════════════════╝
─────────────────────────── Epoch 11/150 - Training ────────────────────────────
Epoch-Loss: 1182.9935
────────────────────────── Epoch 11/150 - Validation ───────────────────────────
╔═ Epoch 11/150 Summary ══╗
║ Validation Loss: 1.7035 ║
║ Accuracy: 54.60% ║
╚═════════════════════════╝
─────────────────────────── Epoch 12/150 - Training ────────────────────────────
Epoch-Loss: 1123.3828
────────────────────────── Epoch 12/150 - Validation ───────────────────────────
╔═ Epoch 12/150 Summary ══╗
║ Validation Loss: 1.6452 ║
║ Accuracy: 55.25% ║
╚═════════════════════════╝
─────────────────────────── Epoch 13/150 - Training ────────────────────────────
Epoch-Loss: 1065.5560
────────────────────────── Epoch 13/150 - Validation ───────────────────────────
╔═ Epoch 13/150 Summary ══╗
║ Validation Loss: 1.6340 ║
║ Accuracy: 55.66% ║
╚═════════════════════════╝
─────────────────────────── Epoch 14/150 - Training ────────────────────────────
Epoch-Loss: 1023.9870
────────────────────────── Epoch 14/150 - Validation ───────────────────────────
╔═ Epoch 14/150 Summary ══╗
║ Validation Loss: 1.6032 ║
║ Accuracy: 56.69% ║
╚═════════════════════════╝
─────────────────────────── Epoch 15/150 - Training ────────────────────────────
Epoch-Loss: 985.0890
────────────────────────── Epoch 15/150 - Validation ───────────────────────────
╔═ Epoch 15/150 Summary ══╗
║ Validation Loss: 1.5331 ║
║ Accuracy: 57.97% ║
╚═════════════════════════╝
─────────────────────────── Epoch 16/150 - Training ────────────────────────────
Epoch-Loss: 953.2401
────────────────────────── Epoch 16/150 - Validation ───────────────────────────
╔═ Epoch 16/150 Summary ══╗
║ Validation Loss: 1.5372 ║
║ Accuracy: 58.99% ║
╚═════════════════════════╝
─────────────────────────── Epoch 17/150 - Training ────────────────────────────
Epoch-Loss: 924.5409
────────────────────────── Epoch 17/150 - Validation ───────────────────────────
╔═ Epoch 17/150 Summary ══╗
║ Validation Loss: 1.5601 ║
║ Accuracy: 58.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 18/150 - Training ────────────────────────────
Epoch-Loss: 888.0567
────────────────────────── Epoch 18/150 - Validation ───────────────────────────
╔═ Epoch 18/150 Summary ══╗
║ Validation Loss: 1.5238 ║
║ Accuracy: 59.09% ║
╚═════════════════════════╝
─────────────────────────── Epoch 19/150 - Training ────────────────────────────
Epoch-Loss: 869.7728
────────────────────────── Epoch 19/150 - Validation ───────────────────────────
╔═ Epoch 19/150 Summary ══╗
║ Validation Loss: 1.6254 ║
║ Accuracy: 57.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 20/150 - Training ────────────────────────────
Epoch-Loss: 842.2047
────────────────────────── Epoch 20/150 - Validation ───────────────────────────
╔═ Epoch 20/150 Summary ══╗
║ Validation Loss: 1.4522 ║
║ Accuracy: 61.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 21/150 - Training ────────────────────────────
Epoch-Loss: 831.5929
────────────────────────── Epoch 21/150 - Validation ───────────────────────────
╔═ Epoch 21/150 Summary ══╗
║ Validation Loss: 1.4283 ║
║ Accuracy: 61.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 22/150 - Training ────────────────────────────
Epoch-Loss: 814.1162
────────────────────────── Epoch 22/150 - Validation ───────────────────────────
╔═ Epoch 22/150 Summary ══╗
║ Validation Loss: 1.5255 ║
║ Accuracy: 60.14% ║
╚═════════════════════════╝
─────────────────────────── Epoch 23/150 - Training ────────────────────────────
Epoch-Loss: 790.6037
────────────────────────── Epoch 23/150 - Validation ───────────────────────────
╔═ Epoch 23/150 Summary ══╗
║ Validation Loss: 1.4883 ║
║ Accuracy: 60.64% ║
╚═════════════════════════╝
─────────────────────────── Epoch 24/150 - Training ────────────────────────────
Epoch-Loss: 787.4794
────────────────────────── Epoch 24/150 - Validation ───────────────────────────
╔═ Epoch 24/150 Summary ══╗
║ Validation Loss: 1.4472 ║
║ Accuracy: 61.85% ║
╚═════════════════════════╝
─────────────────────────── Epoch 25/150 - Training ────────────────────────────
Epoch-Loss: 765.0845
────────────────────────── Epoch 25/150 - Validation ───────────────────────────
╔═ Epoch 25/150 Summary ══╗
║ Validation Loss: 1.4447 ║
║ Accuracy: 61.76% ║
╚═════════════════════════╝
─────────────────────────── Epoch 26/150 - Training ────────────────────────────
Epoch-Loss: 752.3905
────────────────────────── Epoch 26/150 - Validation ───────────────────────────
╔═ Epoch 26/150 Summary ══╗
║ Validation Loss: 1.4846 ║
║ Accuracy: 61.13% ║
╚═════════════════════════╝
─────────────────────────── Epoch 27/150 - Training ────────────────────────────
Epoch-Loss: 736.6532
────────────────────────── Epoch 27/150 - Validation ───────────────────────────
╔═ Epoch 27/150 Summary ══╗
║ Validation Loss: 1.5030 ║
║ Accuracy: 60.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 28/150 - Training ────────────────────────────
Epoch-Loss: 729.8309
────────────────────────── Epoch 28/150 - Validation ───────────────────────────
╔═ Epoch 28/150 Summary ══╗
║ Validation Loss: 1.4621 ║
║ Accuracy: 61.76% ║
╚═════════════════════════╝
─────────────────────────── Epoch 29/150 - Training ────────────────────────────
Epoch-Loss: 717.1919
────────────────────────── Epoch 29/150 - Validation ───────────────────────────
╔═ Epoch 29/150 Summary ══╗
║ Validation Loss: 1.4377 ║
║ Accuracy: 62.28% ║
╚═════════════════════════╝
─────────────────────────── Epoch 30/150 - Training ────────────────────────────
Epoch-Loss: 708.2883
────────────────────────── Epoch 30/150 - Validation ───────────────────────────
╔═ Epoch 30/150 Summary ══╗
║ Validation Loss: 1.4608 ║
║ Accuracy: 62.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 31/150 - Training ────────────────────────────
Epoch-Loss: 517.0416
────────────────────────── Epoch 31/150 - Validation ───────────────────────────
╔═ Epoch 31/150 Summary ══╗
║ Validation Loss: 1.2287 ║
║ Accuracy: 68.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 32/150 - Training ────────────────────────────
Epoch-Loss: 452.4302
────────────────────────── Epoch 32/150 - Validation ───────────────────────────
╔═ Epoch 32/150 Summary ══╗
║ Validation Loss: 1.2193 ║
║ Accuracy: 69.19% ║
╚═════════════════════════╝
─────────────────────────── Epoch 33/150 - Training ────────────────────────────
Epoch-Loss: 420.6700
────────────────────────── Epoch 33/150 - Validation ───────────────────────────
╔═ Epoch 33/150 Summary ══╗
║ Validation Loss: 1.2220 ║
║ Accuracy: 68.96% ║
╚═════════════════════════╝
─────────────────────────── Epoch 34/150 - Training ────────────────────────────
Epoch-Loss: 395.0944
────────────────────────── Epoch 34/150 - Validation ───────────────────────────
╔═ Epoch 34/150 Summary ══╗
║ Validation Loss: 1.2384 ║
║ Accuracy: 68.94% ║
╚═════════════════════════╝
─────────────────────────── Epoch 35/150 - Training ────────────────────────────
Epoch-Loss: 374.7870
────────────────────────── Epoch 35/150 - Validation ───────────────────────────
╔═ Epoch 35/150 Summary ══╗
║ Validation Loss: 1.2261 ║
║ Accuracy: 69.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 36/150 - Training ────────────────────────────
Epoch-Loss: 357.6636
────────────────────────── Epoch 36/150 - Validation ───────────────────────────
╔═ Epoch 36/150 Summary ══╗
║ Validation Loss: 1.2522 ║
║ Accuracy: 69.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 37/150 - Training ────────────────────────────
Epoch-Loss: 342.1209
────────────────────────── Epoch 37/150 - Validation ───────────────────────────
╔═ Epoch 37/150 Summary ══╗
║ Validation Loss: 1.2410 ║
║ Accuracy: 69.20% ║
╚═════════════════════════╝
─────────────────────────── Epoch 38/150 - Training ────────────────────────────
Epoch-Loss: 325.8442
────────────────────────── Epoch 38/150 - Validation ───────────────────────────
╔═ Epoch 38/150 Summary ══╗
║ Validation Loss: 1.2575 ║
║ Accuracy: 69.28% ║
╚═════════════════════════╝
─────────────────────────── Epoch 39/150 - Training ────────────────────────────
Epoch-Loss: 311.8488
────────────────────────── Epoch 39/150 - Validation ───────────────────────────
╔═ Epoch 39/150 Summary ══╗
║ Validation Loss: 1.2645 ║
║ Accuracy: 69.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 40/150 - Training ────────────────────────────
Epoch-Loss: 300.9608
────────────────────────── Epoch 40/150 - Validation ───────────────────────────
╔═ Epoch 40/150 Summary ══╗
║ Validation Loss: 1.2599 ║
║ Accuracy: 69.50% ║
╚═════════════════════════╝
─────────────────────────── Epoch 41/150 - Training ────────────────────────────
Epoch-Loss: 288.2368
────────────────────────── Epoch 41/150 - Validation ───────────────────────────
╔═ Epoch 41/150 Summary ══╗
║ Validation Loss: 1.2611 ║
║ Accuracy: 69.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 42/150 - Training ────────────────────────────
Epoch-Loss: 277.3468
────────────────────────── Epoch 42/150 - Validation ───────────────────────────
╔═ Epoch 42/150 Summary ══╗
║ Validation Loss: 1.2736 ║
║ Accuracy: 69.75% ║
╚═════════════════════════╝
─────────────────────────── Epoch 43/150 - Training ────────────────────────────
Epoch-Loss: 267.2716
────────────────────────── Epoch 43/150 - Validation ───────────────────────────
╔═ Epoch 43/150 Summary ══╗
║ Validation Loss: 1.2970 ║
║ Accuracy: 69.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 44/150 - Training ────────────────────────────
Epoch-Loss: 257.9599
────────────────────────── Epoch 44/150 - Validation ───────────────────────────
╔═ Epoch 44/150 Summary ══╗
║ Validation Loss: 1.3025 ║
║ Accuracy: 69.28% ║
╚═════════════════════════╝
─────────────────────────── Epoch 45/150 - Training ────────────────────────────
Epoch-Loss: 250.5723
────────────────────────── Epoch 45/150 - Validation ───────────────────────────
╔═ Epoch 45/150 Summary ══╗
║ Validation Loss: 1.3098 ║
║ Accuracy: 69.21% ║
╚═════════════════════════╝
─────────────────────────── Epoch 46/150 - Training ────────────────────────────
Epoch-Loss: 239.5341
────────────────────────── Epoch 46/150 - Validation ───────────────────────────
╔═ Epoch 46/150 Summary ══╗
║ Validation Loss: 1.3067 ║
║ Accuracy: 69.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 47/150 - Training ────────────────────────────
Epoch-Loss: 231.8535
────────────────────────── Epoch 47/150 - Validation ───────────────────────────
╔═ Epoch 47/150 Summary ══╗
║ Validation Loss: 1.3191 ║
║ Accuracy: 69.71% ║
╚═════════════════════════╝
─────────────────────────── Epoch 48/150 - Training ────────────────────────────
Epoch-Loss: 227.1995
────────────────────────── Epoch 48/150 - Validation ───────────────────────────
╔═ Epoch 48/150 Summary ══╗
║ Validation Loss: 1.3375 ║
║ Accuracy: 69.73% ║
╚═════════════════════════╝
─────────────────────────── Epoch 49/150 - Training ────────────────────────────
Epoch-Loss: 215.1409
────────────────────────── Epoch 49/150 - Validation ───────────────────────────
╔═ Epoch 49/150 Summary ══╗
║ Validation Loss: 1.3448 ║
║ Accuracy: 69.55% ║
╚═════════════════════════╝
─────────────────────────── Epoch 50/150 - Training ────────────────────────────
Epoch-Loss: 209.3599
────────────────────────── Epoch 50/150 - Validation ───────────────────────────
╔═ Epoch 50/150 Summary ══╗
║ Validation Loss: 1.3356 ║
║ Accuracy: 69.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 51/150 - Training ────────────────────────────
Epoch-Loss: 204.6335
────────────────────────── Epoch 51/150 - Validation ───────────────────────────
╔═ Epoch 51/150 Summary ══╗
║ Validation Loss: 1.3703 ║
║ Accuracy: 69.18% ║
╚═════════════════════════╝
─────────────────────────── Epoch 52/150 - Training ────────────────────────────
Epoch-Loss: 199.3304
────────────────────────── Epoch 52/150 - Validation ───────────────────────────
╔═ Epoch 52/150 Summary ══╗
║ Validation Loss: 1.3617 ║
║ Accuracy: 69.49% ║
╚═════════════════════════╝
─────────────────────────── Epoch 53/150 - Training ────────────────────────────
Epoch-Loss: 192.0976
────────────────────────── Epoch 53/150 - Validation ───────────────────────────
╔═ Epoch 53/150 Summary ══╗
║ Validation Loss: 1.3879 ║
║ Accuracy: 69.46% ║
╚═════════════════════════╝
─────────────────────────── Epoch 54/150 - Training ────────────────────────────
Epoch-Loss: 185.4034
────────────────────────── Epoch 54/150 - Validation ───────────────────────────
╔═ Epoch 54/150 Summary ══╗
║ Validation Loss: 1.3850 ║
║ Accuracy: 69.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 55/150 - Training ────────────────────────────
Epoch-Loss: 180.4433
────────────────────────── Epoch 55/150 - Validation ───────────────────────────
╔═ Epoch 55/150 Summary ══╗
║ Validation Loss: 1.4040 ║
║ Accuracy: 69.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 56/150 - Training ────────────────────────────
Epoch-Loss: 177.9070
────────────────────────── Epoch 56/150 - Validation ───────────────────────────
╔═ Epoch 56/150 Summary ══╗
║ Validation Loss: 1.4179 ║
║ Accuracy: 69.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 57/150 - Training ────────────────────────────
Epoch-Loss: 170.7754
────────────────────────── Epoch 57/150 - Validation ───────────────────────────
╔═ Epoch 57/150 Summary ══╗
║ Validation Loss: 1.4124 ║
║ Accuracy: 69.40% ║
╚═════════════════════════╝
─────────────────────────── Epoch 58/150 - Training ────────────────────────────
Epoch-Loss: 166.4511
────────────────────────── Epoch 58/150 - Validation ───────────────────────────
╔═ Epoch 58/150 Summary ══╗
║ Validation Loss: 1.4165 ║
║ Accuracy: 69.80% ║
╚═════════════════════════╝
─────────────────────────── Epoch 59/150 - Training ────────────────────────────
Epoch-Loss: 162.0169
────────────────────────── Epoch 59/150 - Validation ───────────────────────────
╔═ Epoch 59/150 Summary ══╗
║ Validation Loss: 1.4203 ║
║ Accuracy: 69.51% ║
╚═════════════════════════╝
─────────────────────────── Epoch 60/150 - Training ────────────────────────────
Epoch-Loss: 159.3265
────────────────────────── Epoch 60/150 - Validation ───────────────────────────
╔═ Epoch 60/150 Summary ══╗
║ Validation Loss: 1.4304 ║
║ Accuracy: 69.52% ║
╚═════════════════════════╝
─────────────────────────── Epoch 61/150 - Training ────────────────────────────
Epoch-Loss: 137.2391
────────────────────────── Epoch 61/150 - Validation ───────────────────────────
╔═ Epoch 61/150 Summary ══╗
║ Validation Loss: 1.4120 ║
║ Accuracy: 70.04% ║
╚═════════════════════════╝
─────────────────────────── Epoch 62/150 - Training ────────────────────────────
Epoch-Loss: 130.8827
────────────────────────── Epoch 62/150 - Validation ───────────────────────────
╔═ Epoch 62/150 Summary ══╗
║ Validation Loss: 1.4061 ║
║ Accuracy: 70.19% ║
╚═════════════════════════╝
─────────────────────────── Epoch 63/150 - Training ────────────────────────────
Epoch-Loss: 126.7567
────────────────────────── Epoch 63/150 - Validation ───────────────────────────
╔═ Epoch 63/150 Summary ══╗
║ Validation Loss: 1.4071 ║
║ Accuracy: 70.15% ║
╚═════════════════════════╝
─────────────────────────── Epoch 64/150 - Training ────────────────────────────
Epoch-Loss: 122.5016
────────────────────────── Epoch 64/150 - Validation ───────────────────────────
╔═ Epoch 64/150 Summary ══╗
║ Validation Loss: 1.4133 ║
║ Accuracy: 70.28% ║
╚═════════════════════════╝
─────────────────────────── Epoch 65/150 - Training ────────────────────────────
Epoch-Loss: 120.4937
────────────────────────── Epoch 65/150 - Validation ───────────────────────────
╔═ Epoch 65/150 Summary ══╗
║ Validation Loss: 1.4171 ║
║ Accuracy: 70.17% ║
╚═════════════════════════╝
─────────────────────────── Epoch 66/150 - Training ────────────────────────────
Epoch-Loss: 118.4444
────────────────────────── Epoch 66/150 - Validation ───────────────────────────
╔═ Epoch 66/150 Summary ══╗
║ Validation Loss: 1.4113 ║
║ Accuracy: 70.14% ║
╚═════════════════════════╝
─────────────────────────── Epoch 67/150 - Training ────────────────────────────
Epoch-Loss: 117.1965
────────────────────────── Epoch 67/150 - Validation ───────────────────────────
╔═ Epoch 67/150 Summary ══╗
║ Validation Loss: 1.4239 ║
║ Accuracy: 70.21% ║
╚═════════════════════════╝
─────────────────────────── Epoch 68/150 - Training ────────────────────────────
Epoch-Loss: 116.9387
────────────────────────── Epoch 68/150 - Validation ───────────────────────────
╔═ Epoch 68/150 Summary ══╗
║ Validation Loss: 1.4124 ║
║ Accuracy: 70.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 69/150 - Training ────────────────────────────
Epoch-Loss: 115.0257
────────────────────────── Epoch 69/150 - Validation ───────────────────────────
╔═ Epoch 69/150 Summary ══╗
║ Validation Loss: 1.4339 ║
║ Accuracy: 70.38% ║
╚═════════════════════════╝
─────────────────────────── Epoch 70/150 - Training ────────────────────────────
Epoch-Loss: 112.7419
────────────────────────── Epoch 70/150 - Validation ───────────────────────────
╔═ Epoch 70/150 Summary ══╗
║ Validation Loss: 1.4158 ║
║ Accuracy: 70.39% ║
╚═════════════════════════╝
─────────────────────────── Epoch 71/150 - Training ────────────────────────────
Epoch-Loss: 112.7342
────────────────────────── Epoch 71/150 - Validation ───────────────────────────
╔═ Epoch 71/150 Summary ══╗
║ Validation Loss: 1.4264 ║
║ Accuracy: 70.24% ║
╚═════════════════════════╝
─────────────────────────── Epoch 72/150 - Training ────────────────────────────
Epoch-Loss: 111.2419
────────────────────────── Epoch 72/150 - Validation ───────────────────────────
╔═ Epoch 72/150 Summary ══╗
║ Validation Loss: 1.4172 ║
║ Accuracy: 70.22% ║
╚═════════════════════════╝
─────────────────────────── Epoch 73/150 - Training ────────────────────────────
Epoch-Loss: 110.9200
────────────────────────── Epoch 73/150 - Validation ───────────────────────────
╔═ Epoch 73/150 Summary ══╗
║ Validation Loss: 1.4233 ║
║ Accuracy: 70.12% ║
╚═════════════════════════╝
─────────────────────────── Epoch 74/150 - Training ────────────────────────────
Epoch-Loss: 109.1293
────────────────────────── Epoch 74/150 - Validation ───────────────────────────
╔═ Epoch 74/150 Summary ══╗
║ Validation Loss: 1.4144 ║
║ Accuracy: 70.29% ║
╚═════════════════════════╝
─────────────────────────── Epoch 75/150 - Training ────────────────────────────
Epoch-Loss: 110.8840
────────────────────────── Epoch 75/150 - Validation ───────────────────────────
╔═ Epoch 75/150 Summary ══╗
║ Validation Loss: 1.4344 ║
║ Accuracy: 69.99% ║
╚═════════════════════════╝
─────────────────────────── Epoch 76/150 - Training ────────────────────────────
Epoch-Loss: 108.0899
────────────────────────── Epoch 76/150 - Validation ───────────────────────────
╔═ Epoch 76/150 Summary ══╗
║ Validation Loss: 1.4293 ║
║ Accuracy: 70.13% ║
╚═════════════════════════╝
─────────────────────────── Epoch 77/150 - Training ────────────────────────────
Epoch-Loss: 107.0867
────────────────────────── Epoch 77/150 - Validation ───────────────────────────
╔═ Epoch 77/150 Summary ══╗
║ Validation Loss: 1.4248 ║
║ Accuracy: 70.15% ║
╚═════════════════════════╝
─────────────────────────── Epoch 78/150 - Training ────────────────────────────
Epoch-Loss: 106.6946
────────────────────────── Epoch 78/150 - Validation ───────────────────────────
╔═ Epoch 78/150 Summary ══╗
║ Validation Loss: 1.4294 ║
║ Accuracy: 70.20% ║
╚═════════════════════════╝
─────────────────────────── Epoch 79/150 - Training ────────────────────────────
Epoch-Loss: 105.4753
────────────────────────── Epoch 79/150 - Validation ───────────────────────────
╔═ Epoch 79/150 Summary ══╗
║ Validation Loss: 1.4398 ║
║ Accuracy: 70.06% ║
╚═════════════════════════╝
─────────────────────────── Epoch 80/150 - Training ────────────────────────────
Epoch-Loss: 107.1585
────────────────────────── Epoch 80/150 - Validation ───────────────────────────
╔═ Epoch 80/150 Summary ══╗
║ Validation Loss: 1.4305 ║
║ Accuracy: 70.21% ║
╚═════════════════════════╝
─────────────────────────── Epoch 81/150 - Training ────────────────────────────
Epoch-Loss: 103.6815
────────────────────────── Epoch 81/150 - Validation ───────────────────────────
╔═ Epoch 81/150 Summary ══╗
║ Validation Loss: 1.4369 ║
║ Accuracy: 69.98% ║
╚═════════════════════════╝
─────────────────────────── Epoch 82/150 - Training ────────────────────────────
Epoch-Loss: 102.8518
────────────────────────── Epoch 82/150 - Validation ───────────────────────────
╔═ Epoch 82/150 Summary ══╗
║ Validation Loss: 1.4400 ║
║ Accuracy: 70.10% ║
╚═════════════════════════╝
─────────────────────────── Epoch 83/150 - Training ────────────────────────────
Epoch-Loss: 101.6860
────────────────────────── Epoch 83/150 - Validation ───────────────────────────
╔═ Epoch 83/150 Summary ══╗
║ Validation Loss: 1.4431 ║
║ Accuracy: 70.16% ║
╚═════════════════════════╝
─────────────────────────── Epoch 84/150 - Training ────────────────────────────
Epoch-Loss: 101.1103
────────────────────────── Epoch 84/150 - Validation ───────────────────────────
╔═ Epoch 84/150 Summary ══╗
║ Validation Loss: 1.4313 ║
║ Accuracy: 70.18% ║
╚═════════════════════════╝
─────────────────────────── Epoch 85/150 - Training ────────────────────────────
Epoch-Loss: 100.3822
────────────────────────── Epoch 85/150 - Validation ───────────────────────────
╔═ Epoch 85/150 Summary ══╗
║ Validation Loss: 1.4464 ║
║ Accuracy: 70.22% ║
╚═════════════════════════╝
─────────────────────────── Epoch 86/150 - Training ────────────────────────────
Epoch-Loss: 99.7613
────────────────────────── Epoch 86/150 - Validation ───────────────────────────
╔═ Epoch 86/150 Summary ══╗
║ Validation Loss: 1.4433 ║
║ Accuracy: 70.31% ║
╚═════════════════════════╝
─────────────────────────── Epoch 87/150 - Training ────────────────────────────
Epoch-Loss: 98.8816
────────────────────────── Epoch 87/150 - Validation ───────────────────────────
╔═ Epoch 87/150 Summary ══╗
║ Validation Loss: 1.4481 ║
║ Accuracy: 70.10% ║
╚═════════════════════════╝
─────────────────────────── Epoch 88/150 - Training ────────────────────────────
Epoch-Loss: 98.1033
────────────────────────── Epoch 88/150 - Validation ───────────────────────────
╔═ Epoch 88/150 Summary ══╗
║ Validation Loss: 1.4378 ║
║ Accuracy: 70.01% ║
╚═════════════════════════╝
─────────────────────────── Epoch 89/150 - Training ────────────────────────────
Epoch-Loss: 96.3124
────────────────────────── Epoch 89/150 - Validation ───────────────────────────
╔═ Epoch 89/150 Summary ══╗
║ Validation Loss: 1.4428 ║
║ Accuracy: 70.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 90/150 - Training ────────────────────────────
Epoch-Loss: 96.2492
────────────────────────── Epoch 90/150 - Validation ───────────────────────────
╔═ Epoch 90/150 Summary ══╗
║ Validation Loss: 1.4529 ║
║ Accuracy: 70.09% ║
╚═════════════════════════╝
─────────────────────────── Epoch 91/150 - Training ────────────────────────────
Epoch-Loss: 95.0466
────────────────────────── Epoch 91/150 - Validation ───────────────────────────
╔═ Epoch 91/150 Summary ══╗
║ Validation Loss: 1.4542 ║
║ Accuracy: 70.22% ║
╚═════════════════════════╝
─────────────────────────── Epoch 92/150 - Training ────────────────────────────
Epoch-Loss: 93.6717
────────────────────────── Epoch 92/150 - Validation ───────────────────────────
╔═ Epoch 92/150 Summary ══╗
║ Validation Loss: 1.4428 ║
║ Accuracy: 70.22% ║
╚═════════════════════════╝
─────────────────────────── Epoch 93/150 - Training ────────────────────────────
Epoch-Loss: 95.1973
────────────────────────── Epoch 93/150 - Validation ───────────────────────────
╔═ Epoch 93/150 Summary ══╗
║ Validation Loss: 1.4374 ║
║ Accuracy: 70.28% ║
╚═════════════════════════╝
─────────────────────────── Epoch 94/150 - Training ────────────────────────────
Epoch-Loss: 93.9874
────────────────────────── Epoch 94/150 - Validation ───────────────────────────
╔═ Epoch 94/150 Summary ══╗
║ Validation Loss: 1.4464 ║
║ Accuracy: 70.24% ║
╚═════════════════════════╝
─────────────────────────── Epoch 95/150 - Training ────────────────────────────
Epoch-Loss: 93.5296
────────────────────────── Epoch 95/150 - Validation ───────────────────────────
╔═ Epoch 95/150 Summary ══╗
║ Validation Loss: 1.4441 ║
║ Accuracy: 70.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 96/150 - Training ────────────────────────────
Epoch-Loss: 93.6206
────────────────────────── Epoch 96/150 - Validation ───────────────────────────
╔═ Epoch 96/150 Summary ══╗
║ Validation Loss: 1.4360 ║
║ Accuracy: 70.31% ║
╚═════════════════════════╝
─────────────────────────── Epoch 97/150 - Training ────────────────────────────
Epoch-Loss: 94.3671
────────────────────────── Epoch 97/150 - Validation ───────────────────────────
╔═ Epoch 97/150 Summary ══╗
║ Validation Loss: 1.4564 ║
║ Accuracy: 70.17% ║
╚═════════════════════════╝
─────────────────────────── Epoch 98/150 - Training ────────────────────────────
Epoch-Loss: 94.2981
────────────────────────── Epoch 98/150 - Validation ───────────────────────────
╔═ Epoch 98/150 Summary ══╗
║ Validation Loss: 1.4369 ║
║ Accuracy: 70.28% ║
╚═════════════════════════╝
─────────────────────────── Epoch 99/150 - Training ────────────────────────────
Epoch-Loss: 93.8404
────────────────────────── Epoch 99/150 - Validation ───────────────────────────
╔═ Epoch 99/150 Summary ══╗
║ Validation Loss: 1.4413 ║
║ Accuracy: 70.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 100/150 - Training ───────────────────────────
Epoch-Loss: 94.3939
────────────────────────── Epoch 100/150 - Validation ──────────────────────────
╔═ Epoch 100/150 Summary ═╗
║ Validation Loss: 1.4446 ║
║ Accuracy: 70.26% ║
╚═════════════════════════╝
─────────────────────────── Epoch 101/150 - Training ───────────────────────────
Epoch-Loss: 94.4527
────────────────────────── Epoch 101/150 - Validation ──────────────────────────
╔═ Epoch 101/150 Summary ═╗
║ Validation Loss: 1.4476 ║
║ Accuracy: 70.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 102/150 - Training ───────────────────────────
Epoch-Loss: 94.7597
────────────────────────── Epoch 102/150 - Validation ──────────────────────────
╔═ Epoch 102/150 Summary ═╗
║ Validation Loss: 1.4601 ║
║ Accuracy: 70.21% ║
╚═════════════════════════╝
─────────────────────────── Epoch 103/150 - Training ───────────────────────────
Epoch-Loss: 92.2821
────────────────────────── Epoch 103/150 - Validation ──────────────────────────
╔═ Epoch 103/150 Summary ═╗
║ Validation Loss: 1.4456 ║
║ Accuracy: 70.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 104/150 - Training ───────────────────────────
Epoch-Loss: 92.8131
────────────────────────── Epoch 104/150 - Validation ──────────────────────────
╔═ Epoch 104/150 Summary ═╗
║ Validation Loss: 1.4454 ║
║ Accuracy: 70.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 105/150 - Training ───────────────────────────
Epoch-Loss: 93.6854
────────────────────────── Epoch 105/150 - Validation ──────────────────────────
╔═ Epoch 105/150 Summary ═╗
║ Validation Loss: 1.4469 ║
║ Accuracy: 70.17% ║
╚═════════════════════════╝
─────────────────────────── Epoch 106/150 - Training ───────────────────────────
Epoch-Loss: 93.3242
────────────────────────── Epoch 106/150 - Validation ──────────────────────────
╔═ Epoch 106/150 Summary ═╗
║ Validation Loss: 1.4525 ║
║ Accuracy: 70.47% ║
╚═════════════════════════╝
─────────────────────────── Epoch 107/150 - Training ───────────────────────────
Epoch-Loss: 92.2503
────────────────────────── Epoch 107/150 - Validation ──────────────────────────
╔═ Epoch 107/150 Summary ═╗
║ Validation Loss: 1.4518 ║
║ Accuracy: 70.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 108/150 - Training ───────────────────────────
Epoch-Loss: 92.7518
────────────────────────── Epoch 108/150 - Validation ──────────────────────────
╔═ Epoch 108/150 Summary ═╗
║ Validation Loss: 1.4439 ║
║ Accuracy: 70.13% ║
╚═════════════════════════╝
─────────────────────────── Epoch 109/150 - Training ───────────────────────────
Epoch-Loss: 92.9309
────────────────────────── Epoch 109/150 - Validation ──────────────────────────
╔═ Epoch 109/150 Summary ═╗
║ Validation Loss: 1.4395 ║
║ Accuracy: 70.38% ║
╚═════════════════════════╝
─────────────────────────── Epoch 110/150 - Training ───────────────────────────
Epoch-Loss: 89.4782
────────────────────────── Epoch 110/150 - Validation ──────────────────────────
╔═ Epoch 110/150 Summary ═╗
║ Validation Loss: 1.4463 ║
║ Accuracy: 70.31% ║
╚═════════════════════════╝
─────────────────────────── Epoch 111/150 - Training ───────────────────────────
Epoch-Loss: 92.9239
────────────────────────── Epoch 111/150 - Validation ──────────────────────────
╔═ Epoch 111/150 Summary ═╗
║ Validation Loss: 1.4465 ║
║ Accuracy: 70.16% ║
╚═════════════════════════╝
─────────────────────────── Epoch 112/150 - Training ───────────────────────────
Epoch-Loss: 90.3907
────────────────────────── Epoch 112/150 - Validation ──────────────────────────
╔═ Epoch 112/150 Summary ═╗
║ Validation Loss: 1.4493 ║
║ Accuracy: 70.19% ║
╚═════════════════════════╝
─────────────────────────── Epoch 113/150 - Training ───────────────────────────
Epoch-Loss: 90.8866
────────────────────────── Epoch 113/150 - Validation ──────────────────────────
╔═ Epoch 113/150 Summary ═╗
║ Validation Loss: 1.4494 ║
║ Accuracy: 70.28% ║
╚═════════════════════════╝
─────────────────────────── Epoch 114/150 - Training ───────────────────────────
Epoch-Loss: 92.5857
────────────────────────── Epoch 114/150 - Validation ──────────────────────────
╔═ Epoch 114/150 Summary ═╗
║ Validation Loss: 1.4384 ║
║ Accuracy: 70.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 115/150 - Training ───────────────────────────
Epoch-Loss: 91.7005
────────────────────────── Epoch 115/150 - Validation ──────────────────────────
╔═ Epoch 115/150 Summary ═╗
║ Validation Loss: 1.4509 ║
║ Accuracy: 70.48% ║
╚═════════════════════════╝
─────────────────────────── Epoch 116/150 - Training ───────────────────────────
Epoch-Loss: 92.2147
────────────────────────── Epoch 116/150 - Validation ──────────────────────────
╔═ Epoch 116/150 Summary ═╗
║ Validation Loss: 1.4426 ║
║ Accuracy: 70.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 117/150 - Training ───────────────────────────
Epoch-Loss: 92.9841
────────────────────────── Epoch 117/150 - Validation ──────────────────────────
╔═ Epoch 117/150 Summary ═╗
║ Validation Loss: 1.4504 ║
║ Accuracy: 70.20% ║
╚═════════════════════════╝
─────────────────────────── Epoch 118/150 - Training ───────────────────────────
Epoch-Loss: 91.5592
────────────────────────── Epoch 118/150 - Validation ──────────────────────────
╔═ Epoch 118/150 Summary ═╗
║ Validation Loss: 1.4446 ║
║ Accuracy: 70.33% ║
╚═════════════════════════╝
─────────────────────────── Epoch 119/150 - Training ───────────────────────────
Epoch-Loss: 92.5971
────────────────────────── Epoch 119/150 - Validation ──────────────────────────
╔═ Epoch 119/150 Summary ═╗
║ Validation Loss: 1.4420 ║
║ Accuracy: 70.45% ║
╚═════════════════════════╝
─────────────────────────── Epoch 120/150 - Training ───────────────────────────
Epoch-Loss: 91.3227
────────────────────────── Epoch 120/150 - Validation ──────────────────────────
╔═ Epoch 120/150 Summary ═╗
║ Validation Loss: 1.4529 ║
║ Accuracy: 70.20% ║
╚═════════════════════════╝
─────────────────────────── Epoch 121/150 - Training ───────────────────────────
Epoch-Loss: 90.7033
────────────────────────── Epoch 121/150 - Validation ──────────────────────────
╔═ Epoch 121/150 Summary ═╗
║ Validation Loss: 1.4525 ║
║ Accuracy: 70.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 122/150 - Training ───────────────────────────
Epoch-Loss: 90.6756
────────────────────────── Epoch 122/150 - Validation ──────────────────────────
╔═ Epoch 122/150 Summary ═╗
║ Validation Loss: 1.4381 ║
║ Accuracy: 70.26% ║
╚═════════════════════════╝
─────────────────────────── Epoch 123/150 - Training ───────────────────────────
Epoch-Loss: 89.5251
────────────────────────── Epoch 123/150 - Validation ──────────────────────────
╔═ Epoch 123/150 Summary ═╗
║ Validation Loss: 1.4470 ║
║ Accuracy: 70.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 124/150 - Training ───────────────────────────
Epoch-Loss: 91.7586
────────────────────────── Epoch 124/150 - Validation ──────────────────────────
╔═ Epoch 124/150 Summary ═╗
║ Validation Loss: 1.4445 ║
║ Accuracy: 70.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 125/150 - Training ───────────────────────────
Epoch-Loss: 91.0229
────────────────────────── Epoch 125/150 - Validation ──────────────────────────
╔═ Epoch 125/150 Summary ═╗
║ Validation Loss: 1.4425 ║
║ Accuracy: 70.36% ║
╚═════════════════════════╝
─────────────────────────── Epoch 126/150 - Training ───────────────────────────
Epoch-Loss: 89.0195
────────────────────────── Epoch 126/150 - Validation ──────────────────────────
╔═ Epoch 126/150 Summary ═╗
║ Validation Loss: 1.4448 ║
║ Accuracy: 70.19% ║
╚═════════════════════════╝
─────────────────────────── Epoch 127/150 - Training ───────────────────────────
Epoch-Loss: 91.3268
────────────────────────── Epoch 127/150 - Validation ──────────────────────────
╔═ Epoch 127/150 Summary ═╗
║ Validation Loss: 1.4466 ║
║ Accuracy: 70.29% ║
╚═════════════════════════╝
─────────────────────────── Epoch 128/150 - Training ───────────────────────────
Epoch-Loss: 90.6855
────────────────────────── Epoch 128/150 - Validation ──────────────────────────
╔═ Epoch 128/150 Summary ═╗
║ Validation Loss: 1.4399 ║
║ Accuracy: 70.42% ║
╚═════════════════════════╝
─────────────────────────── Epoch 129/150 - Training ───────────────────────────
Epoch-Loss: 91.1677
────────────────────────── Epoch 129/150 - Validation ──────────────────────────
╔═ Epoch 129/150 Summary ═╗
║ Validation Loss: 1.4433 ║
║ Accuracy: 70.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 130/150 - Training ───────────────────────────
Epoch-Loss: 90.3516
────────────────────────── Epoch 130/150 - Validation ──────────────────────────
╔═ Epoch 130/150 Summary ═╗
║ Validation Loss: 1.4423 ║
║ Accuracy: 70.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 131/150 - Training ───────────────────────────
Epoch-Loss: 89.7749
────────────────────────── Epoch 131/150 - Validation ──────────────────────────
╔═ Epoch 131/150 Summary ═╗
║ Validation Loss: 1.4520 ║
║ Accuracy: 70.18% ║
╚═════════════════════════╝
─────────────────────────── Epoch 132/150 - Training ───────────────────────────
Epoch-Loss: 91.2809
────────────────────────── Epoch 132/150 - Validation ──────────────────────────
╔═ Epoch 132/150 Summary ═╗
║ Validation Loss: 1.4440 ║
║ Accuracy: 70.16% ║
╚═════════════════════════╝
─────────────────────────── Epoch 133/150 - Training ───────────────────────────
Epoch-Loss: 90.2431
────────────────────────── Epoch 133/150 - Validation ──────────────────────────
╔═ Epoch 133/150 Summary ═╗
║ Validation Loss: 1.4563 ║
║ Accuracy: 70.41% ║
╚═════════════════════════╝
─────────────────────────── Epoch 134/150 - Training ───────────────────────────
Epoch-Loss: 90.4867
────────────────────────── Epoch 134/150 - Validation ──────────────────────────
╔═ Epoch 134/150 Summary ═╗
║ Validation Loss: 1.4544 ║
║ Accuracy: 70.17% ║
╚═════════════════════════╝
─────────────────────────── Epoch 135/150 - Training ───────────────────────────
Epoch-Loss: 91.9198
────────────────────────── Epoch 135/150 - Validation ──────────────────────────
╔═ Epoch 135/150 Summary ═╗
║ Validation Loss: 1.4475 ║
║ Accuracy: 70.43% ║
╚═════════════════════════╝
─────────────────────────── Epoch 136/150 - Training ───────────────────────────
Epoch-Loss: 90.7235
────────────────────────── Epoch 136/150 - Validation ──────────────────────────
╔═ Epoch 136/150 Summary ═╗
║ Validation Loss: 1.4564 ║
║ Accuracy: 70.28% ║
╚═════════════════════════╝
─────────────────────────── Epoch 137/150 - Training ───────────────────────────
Epoch-Loss: 91.9292
────────────────────────── Epoch 137/150 - Validation ──────────────────────────
╔═ Epoch 137/150 Summary ═╗
║ Validation Loss: 1.4426 ║
║ Accuracy: 70.23% ║
╚═════════════════════════╝
─────────────────────────── Epoch 138/150 - Training ───────────────────────────
Epoch-Loss: 91.4840
────────────────────────── Epoch 138/150 - Validation ──────────────────────────
╔═ Epoch 138/150 Summary ═╗
║ Validation Loss: 1.4460 ║
║ Accuracy: 70.30% ║
╚═════════════════════════╝
─────────────────────────── Epoch 139/150 - Training ───────────────────────────
Epoch-Loss: 88.8364
────────────────────────── Epoch 139/150 - Validation ──────────────────────────
╔═ Epoch 139/150 Summary ═╗
║ Validation Loss: 1.4441 ║
║ Accuracy: 70.24% ║
╚═════════════════════════╝
─────────────────────────── Epoch 140/150 - Training ───────────────────────────
Epoch-Loss: 90.6779
────────────────────────── Epoch 140/150 - Validation ──────────────────────────
╔═ Epoch 140/150 Summary ═╗
║ Validation Loss: 1.4444 ║
║ Accuracy: 70.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 141/150 - Training ───────────────────────────
Epoch-Loss: 90.6772
────────────────────────── Epoch 141/150 - Validation ──────────────────────────
╔═ Epoch 141/150 Summary ═╗
║ Validation Loss: 1.4471 ║
║ Accuracy: 70.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 142/150 - Training ───────────────────────────
Epoch-Loss: 92.0232
────────────────────────── Epoch 142/150 - Validation ──────────────────────────
╔═ Epoch 142/150 Summary ═╗
║ Validation Loss: 1.4503 ║
║ Accuracy: 70.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 143/150 - Training ───────────────────────────
Epoch-Loss: 93.0186
────────────────────────── Epoch 143/150 - Validation ──────────────────────────
╔═ Epoch 143/150 Summary ═╗
║ Validation Loss: 1.4519 ║
║ Accuracy: 70.34% ║
╚═════════════════════════╝
─────────────────────────── Epoch 144/150 - Training ───────────────────────────
Epoch-Loss: 92.5498
────────────────────────── Epoch 144/150 - Validation ──────────────────────────
╔═ Epoch 144/150 Summary ═╗
║ Validation Loss: 1.4482 ║
║ Accuracy: 70.37% ║
╚═════════════════════════╝
─────────────────────────── Epoch 145/150 - Training ───────────────────────────
Epoch-Loss: 92.5733
────────────────────────── Epoch 145/150 - Validation ──────────────────────────
╔═ Epoch 145/150 Summary ═╗
║ Validation Loss: 1.4521 ║
║ Accuracy: 70.32% ║
╚═════════════════════════╝
─────────────────────────── Epoch 146/150 - Training ───────────────────────────
Epoch-Loss: 92.6495
────────────────────────── Epoch 146/150 - Validation ──────────────────────────
╔═ Epoch 146/150 Summary ═╗
║ Validation Loss: 1.4625 ║
║ Accuracy: 70.12% ║
╚═════════════════════════╝
─────────────────────────── Epoch 147/150 - Training ───────────────────────────
Epoch-Loss: 90.3746
────────────────────────── Epoch 147/150 - Validation ──────────────────────────
╔═ Epoch 147/150 Summary ═╗
║ Validation Loss: 1.4637 ║
║ Accuracy: 70.35% ║
╚═════════════════════════╝
─────────────────────────── Epoch 148/150 - Training ───────────────────────────
Epoch-Loss: 92.3864
────────────────────────── Epoch 148/150 - Validation ──────────────────────────
╔═ Epoch 148/150 Summary ═╗
║ Validation Loss: 1.4465 ║
║ Accuracy: 70.27% ║
╚═════════════════════════╝
─────────────────────────── Epoch 149/150 - Training ───────────────────────────
Epoch-Loss: 90.3052
────────────────────────── Epoch 149/150 - Validation ──────────────────────────
╔═ Epoch 149/150 Summary ═╗
║ Validation Loss: 1.4520 ║
║ Accuracy: 70.24% ║
╚═════════════════════════╝
─────────────────────────── Epoch 150/150 - Training ───────────────────────────
Epoch-Loss: 89.6088
────────────────────────── Epoch 150/150 - Validation ──────────────────────────
╔═ Epoch 150/150 Summary ═╗
║ Validation Loss: 1.4486 ║
║ Accuracy: 70.28% ║
╚═════════════════════════╝
VAL_LOSS: 1.4485837541777513
VAL_ACC: 70.28
RUNTIME: 2624.649
NORMALIZED_RUNTIME: 36.453
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': 70.28}
Final-results: {'VAL_ACC': 70.28}
EXIT_CODE: 0
submitit INFO (2025-11-04 14:53:27,124) - Job completed successfully
submitit INFO (2025-11-04 14:53:27,125) - Exiting after successful completion