OmniOpt2

Experiment overview

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	500
Number random steps	20
Nr. of workers (parameter)	20
Main process memory (GB)	8
Worker memory (GB)	10

Job Summary per Generation Node

Generation Node	Total	COMPLETED	FAILED	RUNNING
SOBOL	17	4	4	9

Experiment parameters

Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
epochs	range	10	200		int	No
lr	range	1e-05	0.1		float	No
batch_size	range	8	2048		int	No
hidden_size	range	8	2048		int	No
dropout	range	0	0.5		float	No
activation	fixed			leaky_relu
num_dense_layers	range	1	4		int	No
init	fixed			normal
weight_decay	range	0	1		float	No

Number of evaluations

Failed	Succeeded	Running	Total
4	4	9	17

Result names and types

name	min/max
VAL_ACC	max

Last progressbar status

2025-07-31 14:45:09: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, cancelled by 2054851/running/unknown 4/4/1∑9 (25%/20), started new job

Git-Version

Commit: f9547a580b93e0983ebff52a5b7750569294ad57 (7752-1-gf9547a580)

trial_index,submit_time,queue_time,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_SLURM_JOB_ID,arm_name,trial_status,generation_node,VAL_ACC,epochs,lr,batch_size,hidden_size,dropout,num_dense_layers,weight_decay,activation,init
0,,,,,,,,,,,0_0,RUNNING,SOBOL,,195,0.080375011477470406640044586766,497,1162,0.196376144886016845703125,4,0.643941462039947509765625,leaky_relu,normal
1,1753965239,12,1753965251,1753965607,356,python3 .tests/mnist/train --epochs 65 --learning_rate 0.04973049013627693637 --batch_size 1049 --hidden_size 708 --dropout 0.48792621353641152382 --activation leaky_relu --num_dense_layers 1 --init normal --weight_decay 0.36102242954075336456,0,,c142,530735,1_0,COMPLETED,SOBOL,8.51999999999999957367435854394,65,0.049730490136276936374848389733,1049,708,0.487926213536411523818969726562,1,0.36102242954075336456298828125,leaky_relu,normal
2,1753965267,13,1753965280,1753965520,240,python3 .tests/mnist/train --epochs 43 --learning_rate 0.07452280639337376111 --batch_size 651 --hidden_size 1785 --dropout 0.28283687774091959 --activation leaky_relu --num_dense_layers 2 --init normal --weight_decay 0.77368538081645965576,0,,c142,530736,2_0,COMPLETED,SOBOL,1.600000000000000088817841970013,43,0.074522806393373761113529951672,651,1785,0.282836877740919589996337890625,2,0.77368538081645965576171875,leaky_relu,normal
3,,,,,,,,,,,3_0,RUNNING,SOBOL,,127,0.004808055776543915423026920308,1917,214,0.026534139178693294525146484375,3,0.24466808140277862548828125,leaky_relu,normal
4,,,,,,,,,,,4_0,RUNNING,SOBOL,,137,0.060602928094053647167793741346,1501,432,0.10777241922914981842041015625,4,0.879836857318878173828125,leaky_relu,normal
5,1753965360,11,1753965371,1753965580,209,python3 .tests/mnist/train --epochs 30 --learning_rate 0.01629175907264463624 --batch_size 43 --hidden_size 1938 --dropout 0.33294622227549552917 --activation leaky_relu --num_dense_layers 1 --init normal --weight_decay 0.09982791543006896973,0,,c141,530739,5_0,COMPLETED,SOBOL,9.39000000000000056843418860808,30,0.016291759072644636241466997717,43,1938,0.3329462222754955291748046875,1,0.0998279154300689697265625,leaky_relu,normal
6,1753965391,57,1753965448,1753965473,25,python3 .tests/mnist/train --epochs 104 --learning_rate 0.09068539249560796101 --batch_size 1718 --hidden_size 988 --dropout 0.3816634821705520153 --activation leaky_relu --num_dense_layers 2 --init normal --weight_decay 0.51546639390289783478,1,,c137,530740,6_0,FAILED,SOBOL,,104,0.090685392495607961005354979989,1718,988,0.381663482170552015304565429688,2,0.51546639390289783477783203125,leaky_relu,normal
7,1753965424,24,1753965448,1753965472,24,python3 .tests/mnist/train --epochs 164 --learning_rate 0.03542465820719488401 --batch_size 848 --hidden_size 1507 --dropout 0.18398649757727980614 --activation leaky_relu --num_dense_layers 3 --init normal --weight_decay 0.48155525512993335724,1,,c137,530741,7_0,FAILED,SOBOL,,164,0.035424658207194884007584789742,848,1507,0.183986497577279806137084960938,3,0.48155525512993335723876953125,leaky_relu,normal
8,1753965457,47,1753965504,1753965523,19,python3 .tests/mnist/train --epochs 165 --learning_rate 0.0651036307624075633 --batch_size 1641 --hidden_size 1876 --dropout 0.46071868576109409332 --activation leaky_relu --num_dense_layers 3 --init normal --weight_decay 0.96236990019679069519,1,,c137,530742,8_0,FAILED,SOBOL,,165,0.065103630762407563303817426004,1641,1876,0.46071868576109409332275390625,3,0.9623699001967906951904296875,leaky_relu,normal
9,1753965493,12,1753965505,1753965524,19,python3 .tests/mnist/train --epochs 82 --learning_rate 0.00787871418240480154 --batch_size 925 --hidden_size 370 --dropout 0.23188253864645957947 --activation leaky_relu --num_dense_layers 2 --init normal --weight_decay 0.05834103748202323914,1,,c137,530743,9_0,FAILED,SOBOL,,82,0.007878714182404801535941629709,925,370,0.2318825386464595794677734375,2,0.0583410374820232391357421875,leaky_relu,normal
10,1753965562,18,1753965580,1753965660,80,python3 .tests/mnist/train --epochs 13 --learning_rate 0.08346851554899477332 --batch_size 1291 --hidden_size 1318 --dropout 0.0618269103579223156 --activation leaky_relu --num_dense_layers 1 --init normal --weight_decay 0.58039437048137187958,0,,c142,530745,10_0,COMPLETED,SOBOL,10.27999999999999936051153781591,13,0.083468515548994773323165929924,1291,1318,0.061826910357922315597534179688,1,0.58039437048137187957763671875,leaky_relu,normal
11,,,,,,,,,,,11_0,RUNNING,SOBOL,,145,0.040291533701987944371403216337,253,799,0.255842981394380331039428710938,4,0.42245615832507610321044921875,leaky_relu,normal
12,,,,,,,,,,,12_0,RUNNING,SOBOL,,107,0.093865676535144451642089791221,605,642,0.359907456208020448684692382812,3,0.70203366689383983612060546875,leaky_relu,normal
13,,,,,,,,,,,13_0,RUNNING,SOBOL,,48,0.026091078020390123803906590183,1963,1096,0.072508497629314661026000976562,2,0.29313409142196178436279296875,leaky_relu,normal
14,,,,,,,,,,,14_0,RUNNING,SOBOL,,74,0.051298390346113602322741797934,320,21,0.148447909392416477203369140625,1,0.8181321881711483001708984375,leaky_relu,normal
15,,,,,,,,,,,15_0,RUNNING,SOBOL,,182,0.019446064045690002880517610606,1227,1592,0.408899380825459957122802734375,4,0.1631424389779567718505859375,leaky_relu,normal
16,,,,,,,,,,,16_0,RUNNING,SOBOL,,185,0.055223758884808057945114967424,970,926,0.004842550028115510940551757812,2,0.314713393338024616241455078125,leaky_relu,normal

To cancel, press CTRL c, then run 'scancel 530730'
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Run-UUID: 591f811e-2dc9-4652-ac5a-ca731d85a1af
  _________________________________________________
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| OmniOpt2 - Finding the needle in the hyper haysta |
| ck!                                               |
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⠋ Writing worker creation log...
omniopt --partition=alpha --experiment_name=mnist_gpu_noall --mem_gb=10 --time=2880 --worker_timeout=120 --max_eval=500 --num_parallel_jobs=20 --gpus=1 --num_random_steps=20 --follow --live_share --send_anonymized_usage_stats --result_names VAL_ACC=max --run_program=cHl0aG9uMyAudGVzdHMvbW5pc3QvdHJhaW4gLS1lcG9jaHMgJWVwb2NocyAtLWxlYXJuaW5nX3JhdGUgJWxyIC0tYmF0Y2hfc2l6ZSAlYmF0Y2hfc2l6ZSAtLWhpZGRlbl9zaXplICVoaWRkZW5fc2l6ZSAtLWRyb3BvdXQgJWRyb3BvdXQgLS1hY3RpdmF0aW9uICVhY3RpdmF0aW9uIC0tbnVtX2RlbnNlX2xheWVycyAlbnVtX2RlbnNlX2xheWVycyAtLWluaXQgJWluaXQgLS13ZWlnaHRfZGVjYXkgJXdlaWdodF9kZWNheQ== --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=8 --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 --parameter epochs range 10 200 int false --parameter lr range 0.00001 0.1 float false --parameter batch_size range 8 2048 int false --parameter hidden_size range 8 2048 int false --parameter dropout range 0 0.5 float false --parameter activation fixed leaky_relu --parameter num_dense_layers range 1 4 int false --parameter init fixed normal --parameter weight_decay range 0 1 float false --ui_url 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
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /data/horse/ws/pwinkler-mnist_tst/omniopt/runs/mnist_gpu_noall/1...
⠋ 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/pwinkler-mnist_tst/omniopt/runs/mnist_gpu_noall/1
⠋ Printing run info...
⠋ Initializing NVIDIA-Logs...
⠋ Writing ui_url file if it is present...
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠹ Writing git info file...
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Handling random steps...
⠋ Initializing ax_client...
[WARNING 07-31 14:32:27] ax.service.ax_client: Selecting a GenerationStrategy when using BatchTrials is in beta. Double check the recommended strategy matches your expectations.
⠋ Setting orchestrator...
You have 1 CPUs available for the main process. Using CUDA device NVIDIA H100. Generation strategy: SOBOL for 20 steps and then BOTORCH_MODULAR for 480 steps.
Run-Program: python3 .tests/mnist/train --epochs %epochs --learning_rate %lr --batch_size %batch_size --hidden_size %hidden_size --dropout %dropout --activation %activation --num_dense_layers %num_dense_layers --init %init --weight_decay %weight_decay
                                  Experiment parameters                                   
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name             ┃ Type  ┃ Lower bound ┃ Upper bound ┃ Values     ┃ Type  ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ epochs           │ range │ 10          │ 200         │            │ int   │ No         │
│ lr               │ range │ 1e-05       │ 0.1         │            │ float │ No         │
│ batch_size       │ range │ 8           │ 2048        │            │ int   │ No         │
│ hidden_size      │ range │ 8           │ 2048        │            │ int   │ No         │
│ dropout          │ range │ 0           │ 0.5         │            │ float │ No         │
│ activation       │ fixed │             │             │ leaky_relu │       │            │
│ num_dense_layers │ range │ 1           │ 4           │            │ int   │ No         │
│ init             │ fixed │             │             │ normal     │       │            │
│ weight_decay     │ range │ 0           │ 1           │            │ float │ No         │
└──────────────────┴───────┴─────────────┴─────────────┴────────────┴───────┴────────────┘
        Result-Names         
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ VAL_ACC     │         max │
└─────────────┴─────────────┘
See https://imageseg.scads.de/omniax/share?user_id=pwinkler&experiment_name=mnist_gpu_noall&run_nr=5 for live-results.

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Sobol, failed: 2 ('VAL_ACC: ' not found), best VAL_ACC: 1.6, running/completed 5/3∑8 (25%/20), eval #1/1 start                    :   0%|░░░░░░░░░░| 0/500 [06:01failed: 4 ('VAL_ACC: ' not found), best VAL_ACC: 10.28, cancelled by 2054851/running/unknown 4/4/1∑9 (25%/20), started new job           :   1%|░░░░░░░░░░| 4/500 [12:18<13:59:01, 101.50s/it]

2025-07-31 14:32:51: SOBOL, Started OmniOpt2 run...
2025-07-31 14:33:02: Sobol, getting new HP set     
2025-07-31 14:33:14: Sobol, requested 1 jobs, got 1, 12.20 s/job
2025-07-31 14:33:19: Sobol, eval #1/1 start                     
2025-07-31 14:33:24: Sobol, starting new job                    
2025-07-31 14:33:30: Sobol, unknown 1∑1 (5%/20), started new job
2025-07-31 14:33:35: Sobol, pending 1∑1 (5%/20), getting new HP set
2025-07-31 14:33:44: Sobol, running 1∑1 (5%/20), requested 1 jobs, got 1, 8.90 s/job
2025-07-31 14:33:50: Sobol, running 1∑1 (5%/20), eval #1/1 start                    
2025-07-31 14:33:55: Sobol, running 1∑1 (5%/20), starting new job                   
2025-07-31 14:34:00: Sobol, running/unknown 1/1∑2 (10%/20), started new job         
2025-07-31 14:34:05: Sobol, running/pending 1/1∑2 (10%/20), getting new HP set      
2025-07-31 14:34:14: Sobol, running 2∑2 (10%/20), requested 1 jobs, got 1, 8.79 s/job
2025-07-31 14:34:18: Sobol, running 2∑2 (10%/20), eval #1/1 start                    
2025-07-31 14:34:23: Sobol, running 2∑2 (10%/20), starting new job                   
2025-07-31 14:34:28: Sobol, running/unknown 2/1∑3 (15%/20), started new job          
2025-07-31 14:34:33: Sobol, running/pending 2/1∑3 (15%/20), getting new HP set       
2025-07-31 14:34:44: Sobol, running 3∑3 (15%/20), requested 1 jobs, got 1, 10.65 s/job
2025-07-31 14:34:50: Sobol, running 3∑3 (15%/20), eval #1/1 start                     
2025-07-31 14:34:54: Sobol, running 3∑3 (15%/20), starting new job                    
2025-07-31 14:35:00: Sobol, running/unknown 3/1∑4 (20%/20), started new job           
2025-07-31 14:35:05: Sobol, running/pending 3/1∑4 (20%/20), getting new HP set        
2025-07-31 14:35:16: Sobol, running 4∑4 (20%/20), requested 1 jobs, got 1, 10.26 s/job
2025-07-31 14:35:21: Sobol, running 4∑4 (20%/20), eval #1/1 start                     
2025-07-31 14:35:25: Sobol, running 4∑4 (20%/20), starting new job                    
2025-07-31 14:35:31: Sobol, running/unknown 4/1∑5 (25%/20), started new job           
2025-07-31 14:35:37: Sobol, running 5∑5 (25%/20), getting new HP set                  
2025-07-31 14:35:47: Sobol, running 5∑5 (25%/20), requested 1 jobs, got 1, 10.07 s/job
2025-07-31 14:35:51: Sobol, running 5∑5 (25%/20), eval #1/1 start                     
2025-07-31 14:35:56: Sobol, running 5∑5 (25%/20), starting new job                    
2025-07-31 14:36:01: Sobol, running/unknown 5/1∑6 (30%/20), started new job           
2025-07-31 14:36:07: Sobol, running 6∑6 (30%/20), getting new HP set                  
2025-07-31 14:36:16: Sobol, running 6∑6 (30%/20), requested 1 jobs, got 1, 9.34 s/job 
2025-07-31 14:36:21: Sobol, running 6∑6 (30%/20), eval #1/1 start                     
2025-07-31 14:36:27: Sobol, running 6∑6 (30%/20), starting new job                    
2025-07-31 14:36:32: Sobol, running/unknown 6/1∑7 (35%/20), started new job           
2025-07-31 14:36:39: Sobol, running 7∑7 (35%/20), getting new HP set                  
2025-07-31 14:36:48: Sobol, running 7∑7 (35%/20), requested 1 jobs, got 1, 10.07 s/job
2025-07-31 14:36:53: Sobol, running 7∑7 (35%/20), eval #1/1 start                     
2025-07-31 14:36:58: Sobol, running 7∑7 (35%/20), starting new job                    
2025-07-31 14:37:05: Sobol, running/unknown 7/1∑8 (40%/20), started new job           
2025-07-31 14:37:10: Sobol, running 8∑8 (40%/20), getting new HP set                  
2025-07-31 14:37:22: Sobol, running 8∑8 (40%/20), requested 1 jobs, got 1, 12.26 s/job
2025-07-31 14:37:27: Sobol, running 8∑8 (40%/20), eval #1/1 start                     
2025-07-31 14:37:31: Sobol, running 8∑8 (40%/20), starting new job                    
2025-07-31 14:37:38: Sobol, running/unknown 8/1∑9 (45%/20), started new job           
2025-07-31 14:37:44: Sobol, running/pending 8/1∑9 (45%/20), getting new HP set        
2025-07-31 14:37:53: Sobol, running/completed/pending 7/1/1∑9 (40%/20), requested 1 jobs, got 1, 9.36 s/job
2025-07-31 14:37:58: Sobol, running/completed/pending 7/1/1∑9 (35%/20), eval #1/1 start                    
2025-07-31 14:38:08: Sobol, running/completed/pending 7/1/1∑9 (35%/20), starting new job                   
2025-07-31 14:38:14: Sobol, running/completed/unknown 7/2/1∑10 (40%/20), started new job                   
2025-07-31 14:38:20: Sobol, running/completed 8/2∑10 (40%/20), job_failed                                  
2025-07-31 14:38:20: Sobol, running/completed 8/2∑10 (40%/20), job_failed                                  
2025-07-31 14:38:32: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), running 8∑8 (40%/20), finishing jobs (_get_next_trials), finished 2 jobs
2025-07-31 14:38:37: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), running 8∑8 (40%/20), getting new HP set                                
2025-07-31 14:38:47: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed 5/3∑8 (25%/20), requested 1 jobs, got 1, 9.98 s/job
2025-07-31 14:38:52: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed 5/3∑8 (25%/20), eval #1/1 start                    
2025-07-31 14:39:14: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed 5/3∑8 (25%/20), starting new job                   
2025-07-31 14:39:23: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed/unknown 5/3/1∑9 (30%/20), started new job          
2025-07-31 14:39:30: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed/pending 5/3/1∑9 (30%/20), job_failed               
2025-07-31 14:39:30: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed/pending 5/3/1∑9 (30%/20), new result: 1.6          
2025-07-31 14:39:31: Sobol, failed: 2 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed/pending 5/3/1∑9 (30%/20), job_failed               
2025-07-31 14:39:56: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running 6∑6 (25%/20), finishing jobs (_get_next_trials), finished 3 jobs
2025-07-31 14:40:03: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed 5/1∑6 (25%/20), getting new HP set                    
2025-07-31 14:40:13: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed 5/1∑6 (20%/20), requested 1 jobs, got 1, 10.35 s/job  
2025-07-31 14:40:19: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed 5/1∑6 (20%/20), eval #1/1 start                       
2025-07-31 14:40:25: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed 5/1∑6 (20%/20), starting new job                      
2025-07-31 14:40:31: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed/unknown 4/2/1∑7 (25%/20), started new job             
2025-07-31 14:40:37: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed 5/2∑7 (25%/20), new result: 9.39                      
2025-07-31 14:40:38: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 1.6, running/completed 5/2∑7 (25%/20), new result: 8.52                      
2025-07-31 14:40:57: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 9.39, running 5∑5 (25%/20), finishing jobs (_get_next_trials), finished 2 jobs
2025-07-31 14:41:25: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 9.39, running/completed 4/1∑5 (20%/20), getting new HP set                    
2025-07-31 14:41:36: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 9.39, running/completed 4/1∑5 (20%/20), requested 1 jobs, got 1, 17.32 s/job  
2025-07-31 14:41:41: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 9.39, running/completed 4/1∑5 (20%/20), eval #1/1 start                       
2025-07-31 14:41:46: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 9.39, running/completed 4/1∑5 (20%/20), starting new job                      
2025-07-31 14:41:52: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 9.39, running/completed/unknown 4/1/1∑6 (25%/20), started new job             
2025-07-31 14:41:58: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 9.39, running/completed/pending 4/1/1∑6 (25%/20), new result: 10.28           
2025-07-31 14:42:14: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running 5∑5 (25%/20), finishing jobs (_get_next_trials), finished 1 job
2025-07-31 14:42:19: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running 5∑5 (25%/20), getting new HP set                               
2025-07-31 14:42:49: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running 5∑5 (25%/20), requested 1 jobs, got 1, 30.66 s/job             
2025-07-31 14:42:55: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running 5∑5 (25%/20), eval #1/1 start                                  
2025-07-31 14:43:01: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running 5∑5 (25%/20), starting new job                                 
2025-07-31 14:43:09: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running/unknown 5/1∑6 (30%/20), started new job                        
2025-07-31 14:43:15: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running/pending 5/1∑6 (30%/20), getting new HP set                     
2025-07-31 14:43:26: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running/pending 5/1∑6 (30%/20), requested 1 jobs, got 1, 11.91 s/job   
2025-07-31 14:43:31: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running/pending 5/1∑6 (30%/20), eval #1/1 start                        
2025-07-31 14:43:37: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running/pending 5/1∑6 (30%/20), starting new job                       
2025-07-31 14:43:43: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running/unknown 6/1∑7 (35%/20), started new job                        
2025-07-31 14:43:51: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running/pending 6/1∑7 (35%/20), getting new HP set                     
2025-07-31 14:44:17: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running 7∑7 (35%/20), requested 1 jobs, got 1, 26.33 s/job             
2025-07-31 14:44:23: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running 7∑7 (35%/20), eval #1/1 start                                  
2025-07-31 14:44:28: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running 7∑7 (35%/20), starting new job                                 
2025-07-31 14:44:35: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running/unknown 7/1∑8 (40%/20), started new job                        
2025-07-31 14:44:40: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, running 8∑8 (40%/20), getting new HP set                               
2025-07-31 14:44:51: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, cancelled by 2054851/running 1/7∑8 (35%/20), requested 1 jobs, got 1, 10.64 s/job
2025-07-31 14:44:56: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, cancelled by 2054851/running 1/7∑8 (30%/20), eval #1/1 start                     
2025-07-31 14:45:02: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, cancelled by 2054851/running 1/7∑8 (25%/20), starting new job                    
2025-07-31 14:45:09: Sobol, failed: 4 ('VAL_ACC: <FLOAT>' not found), best VAL_ACC: 10.28, cancelled by 2054851/running/unknown 4/4/1∑9 (25%/20), started new job

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	20
max_eval	500
run_program	[['cHl0aG9uMyAudGVzdHMvbW5pc3QvdHJhaW4gLS1lcG9jaHMgJWVwb2NocyAtLWxlYXJuaW5nX3JhdGUgJWxyIC0tYmF0Y2hfc2l6ZSAlYmF0Y2hfc2l6ZSAtLWhpZGRlbl9zaXplICVoaWRkZW5f…
experiment_name	mnist_gpu_noall
mem_gb	10
parameter	[['epochs', 'range', '10', '200', 'int', 'false'], ['lr', 'range', '0.00001', '0.1', 'float', 'false'], ['batch_size', 'range', '8', '2048', 'int',
	'false'], ['hidden_size', 'range', '8', '2048', 'int', 'false'], ['dropout', 'range', '0', '0.5', 'float', 'false'], ['activation', 'fixed',
	'leaky_relu'], ['num_dense_layers', 'range', '1', '4', 'int', 'false'], ['init', 'fixed', 'normal'], ['weight_decay', 'range', '0', '1', 'float',
	'false']]
continue_previous_job	None
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	BOTORCH_MODULAR
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	True
send_anonymized_usage_stats	True
ui_url	aHR0cHM6Ly9pbWFnZXNlZy5zY2Fkcy5kZS9vbW5pYXgvZ3VpP3BhcnRpdGlvbj1hbHBoYSZleHBlcmltZW50X25hbWU9bW5pc3RfZ3B1X25vYWxsJnJlc2VydmF0aW9uPSZhY2NvdW50PSZtZW1fZ2I…
root_venv_dir	/home/pwinkler
exclude	None
main_process_gb	8
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	False
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
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	[]
num_parallel_jobs	20
worker_timeout	120
slurm_use_srun	False
time	2880
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
run_mode	local
verbose	False
verbose_break_run_search_table	False
debug	False
flame_graph	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

1753965171.2894826,20,0,0
1753965176.7219334,20,0,0
1753965176.8298905,20,0,0
1753965182.8904345,20,0,0
1753965194.8530767,20,0,0
1753965199.7104073,20,0,0
1753965204.706559,20,0,0
1753965210.8391547,20,1,5
1753965215.7592335,20,1,5
1753965224.715386,20,1,5
1753965230.088852,20,1,5
1753965235.0364993,20,1,5
1753965240.8777394,20,2,10
1753965245.7307236,20,2,10
1753965254.0755587,20,2,10
1753965258.2935398,20,2,10
1753965263.0323467,20,2,10
1753965268.838387,20,3,15
1753965273.841259,20,3,15
1753965284.2223022,20,3,15
1753965288.9034579,20,3,15
1753965294.3276317,20,3,15
1753965300.8443332,20,4,20
1753965305.7670114,20,4,20
1753965315.7632296,20,4,20
1753965320.9980884,20,4,20
1753965325.7771468,20,4,20
1753965331.754863,20,5,25
1753965337.1913111,20,5,25
1753965346.9834085,20,5,25
1753965351.7273035,20,5,25
1753965356.0314596,20,5,25
1753965361.7311378,20,6,30
1753965367.2395296,20,6,30
1753965376.294039,20,6,30
1753965381.7207282,20,6,30
1753965386.9462805,20,6,30
1753965392.8478353,20,7,35
1753965399.735184,20,7,35
1753965408.721903,20,7,35
1753965413.2763295,20,7,35
1753965418.1420128,20,7,35
1753965425.2047937,20,8,40
1753965430.7230277,20,8,40
1753965442.7103474,20,8,40
1753965447.2320192,20,8,40
1753965451.7467792,20,8,40
1753965458.289858,20,9,45
1753965464.2561421,20,9,45
1753965473.2936869,20,9,45
1753965478.7165916,20,7,35
1753965488.2828436,20,7,35
1753965494.8518486,20,8,40
1753965500.2776577,20,8,40
1753965500.2943537,20,8,40
1753965512.1166506,20,8,40
1753965517.714961,20,8,40
1753965527.1047885,20,5,25
1753965531.8591456,20,5,25
1753965554.014297,20,5,25
1753965563.200215,20,6,30
1753965569.9933615,20,6,30
1753965570.0728755,20,6,30
1753965571.0092447,20,6,30
1753965580.7187245,20,6,30
1753965596.7468677,20,5,25
1753965603.7134352,20,5,25
1753965613.7256129,20,4,20
1753965619.7253926,20,4,20
1753965625.1249866,20,4,20
1753965631.8627846,20,5,25
1753965637.735853,20,5,25
1753965638.7718422,20,5,25
1753965644.7068892,20,5,25
1753965644.9135895,20,5,25
1753965657.741738,20,5,25
1753965685.7509274,20,4,20
1753965696.2468283,20,4,20
1753965701.06277,20,4,20
1753965706.0259595,20,4,20
1753965712.370942,20,5,25
1753965718.2097118,20,5,25
1753965722.9142683,20,5,25

timestamp,ram_usage_mb,cpu_usage_percent
1753965147,713.1484375,4.2
1753965171,713.6484375,3.7
1753965176,713.6484375,3.9
1753965176,713.6484375,4.6
1753965176,713.6484375,4.0
1753965644,736.32421875,50.0
1753965722,738.6484375,5.7
1753965722,738.6484375,20.0

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	19	356	121.5	121.5741	8
VAL_ACC	1.6	10.28	7.4475	3.4329	4
epochs	13	195	109.7647	56.6252	17
lr	0.0048	0.0939	0.0503	0.028	17
batch_size	43	1963	1024.6471	572.439	17
hidden_size	21	1938	1022	571.6089	17
dropout	0.0048	0.4879	0.2356	0.1486	17
num_dense_layers	1	4	2.4706	1.091	17
weight_decay	0.0583	0.9624	0.4891	0.2698	17
activation	No numerical statistics available
init	No numerical statistics available

submitit INFO (2025-07-31 14:33:38,187) - Starting with JobEnvironment(job_id=530732, hostname=c143, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-07-31 14:33:38,189) - Loading pickle: /data/horse/ws/pwinkler-mnist_tst/omniopt/runs/mnist_gpu_noall/1/single_runs/530732/530732_submitted.pkl
slurmstepd: error: *** JOB 530732 ON c143 CANCELLED AT 2025-07-31T14:44:47 ***