Experiment overview Setting Value Model for non-random steps BOTORCH_MODULAR Max. nr. evaluations 4 Number random steps 2 Nr. of workers (parameter) 4
Best RESULT, min (total: 4) Job Summary per Generation Node
Generation Node Total COMPLETED
SOBOL 2 2 BOTORCH_MODULAR 2 2
Experiment parameters Name Type Lower bound Upper bound Type Log Scale? a range 5 100 float No b range 5 100 float No
Number of evaluations
Failed
Succeeded
Running
Total
0
4
0
4
Result names and types
Last progressbar status
2026-08-10 22:33:20 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 10, ▁▄▆█, finishing jobs, finished 1 job Git-Version
Commit: c067a089d4345332aa67a43795e69b42a25dadc6 (9475-12-gc067a089d)
trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,arm_name,trial_status,generation_node,RESULT,a,b
0,1786401160,1,79b42501-3bf7-4a0c-870a-910243c30b93,1786401161,1786401167,6,perl -e 'print "RESULT: " . (79.71875488758087158203 + 91.29001587629318237305)',0,,runnervmvrwv9,0_0,COMPLETED,SOBOL,171.008770763900002975788083858788,79.71875488758087158203125,91.290015876293182373046875
1,1786401169,2,79b42501-3bf7-4a0c-870a-910243c30b93,1786401171,1786401177,6,perl -e 'print "RESULT: " . (47.75819551665335893631 + 36.95858645252883434296)',0,,runnervmvrwv9,1_0,COMPLETED,SOBOL,84.716781969199999480224505532533,47.758195516653358936309814453125,36.95858645252883434295654296875
2,1786401180,1,79b42501-3bf7-4a0c-870a-910243c30b93,1786401181,1786401187,6,perl -e 'print "RESULT: " . (35.28937466268146749826 + 15.80148596485859080474)',0,,runnervmvrwv9,2_0,COMPLETED,BOTORCH_MODULAR,51.090860627499999679912434658036,35.289374662681467498259735293686,15.801485964858590804738014412578
3,1786401190,1,79b42501-3bf7-4a0c-870a-910243c30b93,1786401191,1786401197,6,perl -e 'print "RESULT: " . (5 + 5)',0,,runnervmvrwv9,3_0,COMPLETED,BOTORCH_MODULAR,10,5,5
2026-08-10 22:32:40 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, Started OmniOpt2 run...
2026-08-10 22:32:40 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, getting new HP set (no sbatch)
2026-08-10 22:32:40 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2026-08-10 22:32:40 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, eval #1/1 start
2026-08-10 22:32:40 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, starting new job
2026-08-10 22:32:40 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, started new job
2026-08-10 22:32:48 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, new result: RESULT: 171.008771
2026-08-10 22:32:49 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, best RESULT: 171.008770763874, finishing jobs, finished 1 job
2026-08-10 22:32:49 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, best RESULT: 171.008770763874, getting new HP set (no sbatch)
2026-08-10 22:32:49 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, best RESULT: 171.008770763874, requested 1 jobs, got 1, 0.04 s/job
2026-08-10 22:32:49 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, best RESULT: 171.008770763874, eval #1/1 start
2026-08-10 22:32:49 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, best RESULT: 171.008770763874, starting new job
2026-08-10 22:32:49 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, best RESULT: 171.008770763874, started new job
2026-08-10 22:32:57 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, best RESULT: 171.008770763874, new result: RESULT: 84.716782
2026-08-10 22:32:59 (79b42501-3bf7-4a0c-870a-910243c30b93): SOBOL, best RESULT: 84.7167819691822, ▁█, finishing jobs, finished 1 job
2026-08-10 22:33:00 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 84.7167819691822, ▁█, getting new HP set (no sbatch)
2026-08-10 22:33:00 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 84.7167819691822, ▁█, requested 1 jobs, got 1, 0.81 s/job
2026-08-10 22:33:00 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 84.7167819691822, ▁█, eval #1/1 start
2026-08-10 22:33:00 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 84.7167819691822, ▁█, starting new job
2026-08-10 22:33:00 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 84.7167819691822, ▁█, started new job
2026-08-10 22:33:08 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 84.7167819691822, ▁█, new result: RESULT: 51.090861
2026-08-10 22:33:09 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 51.0908606275401, ▁▆█, finishing jobs, finished 1 job
2026-08-10 22:33:10 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 51.0908606275401, ▁▆█, getting new HP set (no sbatch)
2026-08-10 22:33:10 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 51.0908606275401, ▁▆█, requested 1 jobs, got 1, 0.34 s/job
2026-08-10 22:33:10 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 51.0908606275401, ▁▆█, eval #1/1 start
2026-08-10 22:33:10 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 51.0908606275401, ▁▆█, starting new job
2026-08-10 22:33:10 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 51.0908606275401, ▁▆█, started new job
2026-08-10 22:33:18 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 51.0908606275401, ▁▆█, new result: RESULT: 10.000000
2026-08-10 22:33:20 (79b42501-3bf7-4a0c-870a-910243c30b93): BOTORCH_MODULAR, best RESULT: 10, ▁▄▆█, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.080 │ 1 │ 0.080 │
│ 2 │ 0.042 │ 1 │ 0.042 │
│ 3 │ 0.040 │ 1 │ 0.040 │
│ 4 │ 0.042 │ 1 │ 0.042 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.051 │ │ │
│ Median │ 0.042 │ │ │
│ Total │ 0.204 │ │ │
│ Max │ 0.080 │ │ │
│ Min │ 0.040 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.017 │ 1 │ 0.017 │
│ 2 │ 0.036 │ 1 │ 0.036 │
│ 3 │ 0.806 │ 1 │ 0.806 │
│ 4 │ 0.341 │ 1 │ 0.341 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 0.300 │ │ │
│ Median │ 0.188 │ │ │
│ Total │ 1.200 │ │ │
│ Max │ 0.806 │ │ │
│ Min │ 0.017 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Arguments Overview Key Value config_yaml None config_toml None config_json None num_random_steps 2 max_eval 4 run_program [['cGVybCAtZSAncHJpbnQgIlJFU1VMVDogIiAuICglYSArICViKSc=']] experiment_name multiplication_constraint mem_gb 10 parameter [['a', 'range', '5', '100', 'float', 'false'], ['b', 'range', '5', '100', 'float', 'false']] continue_previous_job None experiment_constraints [['YSAqIGIgPj0gMTA=']] 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/runner 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 ['RESULT=min'] 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 nr_evals_per_arm 1 dump_config 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 [] number_of_generators 1 num_parallel_jobs 4 worker_timeout 60 slurm_use_srun False time 60 partition alpha reservation None force_local_execution False slurm_signal_delay_s 0 nodes_per_job 1 cpus_per_task 1 account None gpus 0 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
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1786401157,898.52734375,30.2
RESULT (goal: minimize )Best value: 10 b = 5 (r=0.989, strong positive correlation) a = 5 (r=0.984, strong positive correlation) run_time = 6 (r=0, weak negative correlation)
Top-5 Best Results Parameter Sensitivity Ranking Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.
Parameter statistics Parameter Min Max Mean Std Dev Count run_time 6 6 6 0 4 RESULT 10 171.0088 79.2041 59.2411 4 a 5 79.7188 41.9416 26.7856 4 b 5 91.29 37.2625 33.2435 4
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