Hi UpsetBlackbird87
This is an Optuna decision on how many concurrent tests to run simultaneously.
You limited it to 100, but remember Optuna does a Bayesian optimization process, where it decides on the best set of arguments based on the performance of the previous set, this means it will first try X trials, then decide on the next batch.
That said you can a pruner to Optuna specifying how it should start
https://optuna.readthedocs.io/en/v1.4.0/reference/pruners.html#optuna.pruners.MedianPruner
HyperParameterOptimizer(..., optimizer_kwargs=dict( optuna_pruner=optuna.pruners.MedianPruner(n_startup_trials=50, n_warmup_steps=30, interval_steps=10)))Make sense ?