Issue in training: low visit counts and strange initial conditions(board dimensions, komi settings, piece position)

[Centaurea-Platinum]

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I recently began to contribute to Katago distributed training. I noticed that the network is trained on strange initial board/komi conditions and are running on low visit counts. Is the strange initial board/komi conditions to prevent overfitting? Will the low visit count negatively effect how the network run on high visit counts?