Hey there, thank you for the plethora of information, I'm learning a ton from all the work you're pu

Hey there, thank you for the plethora of information, I'm learning a ton from all the work you're putting into this.

I'm trying to understand how Koyha is calculating the total optimization steps when I run my LORA training...

I have 30 images set to 10 repeats, so that part is clear, but it somehow seems to be automatically configuring things to hit 1600 steps.

running training / 学習開始 num train images * repeats / 学習画像の数×繰り返し回数: 300 num reg images / 正則化画像の数: 0 num batches per epoch / 1epochのバッチ数: 300 num epochs / epoch数: 6 batch size per device / バッチサイズ: 1 gradient accumulation steps / 勾配を合計するステップ数 = 1 total optimization steps / 学習ステップ数: 1600

The Epoch setting in Koyha doesn't seem to actually change anything it looks like, so where does it come up with 6 epochs?
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