Early Stopping Strategy

Medium

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Multiple Choice

It prevents overfitting; the patience parameter controls how many epochs without improvement to wait before stopping It prevents underfitting; the threshold parameter defines the minimum acceptable training loss It prevents gradient explosion; the tolerance parameter sets the maximum allowed gradient norm It prevents catastrophic forgetting; the checkpoint interval defines how often to save the model

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