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Both the quality and speed of the model affect.

If the batch size is too large, there is a risk of overfitting, and if the batch size is too small, there is a risk of noise.

If the batch size is large, the speed is slow, and if the batch size is small, the speed is fast.

The batch size is recommended between 32 and 64.

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Answer selected by KyuubiYoru
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