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optimizer = HyperParameterOptimizer( | |
base_task_id=TEMPLATE_TASK_ID, | |
# setting the hyper-parameters to optimize | |
hyper_parameters=[ | |
UniformIntegerParameterRange('number_of_epochs', min_value=2, max_value=12, step_size=2), | |
UniformIntegerParameterRange('batch_size', min_value=2, max_value=16, step_size=2), | |
UniformParameterRange('dropout', min_value=0, max_value=0.5, step_size=0.05), | |
UniformParameterRange('base_lr', min_value=0.00025, max_value=0.01, step_size=0.00025), | |
], | |
# setting the objective metric we want to maximize/minimize | |
objective_metric_title='accuracy', | |
objective_metric_series='total', | |
objective_metric_sign='max', | |
# setting optimizer | |
optimizer_class=OptimizerOptuna, | |
# Configuring optimization parameters | |
execution_queue='dan_queue', | |
max_number_of_concurrent_tasks=2, | |
optimization_time_limit=60., | |
compute_time_limit=120, | |
total_max_jobs=20, | |
min_iteration_per_job=15000, | |
max_iteration_per_job=150000, | |
) |
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