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may I know what is the meaning of step_forward function in GradientModel?
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Its function is to take multiple gradient update steps on the given few-shot examples until random.random() < stop_gate.
random.random() < stop_gate
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may I know what is the meaning of step_forward function in GradientModel?
The text was updated successfully, but these errors were encountered: