commit
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@ -444,7 +444,8 @@ end
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"""
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InvDecay(γ)
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Applies inverse time decay to an optimiser
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Applies inverse time decay to an optimiser, i.e., the effective step size at iteration `n` is `eta / (1 + γ * n)` where `eta` is the initial step size. The wrapped optimiser's step size is not modified.
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```
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## Parameters
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- gamma (γ): Defaults to `0.001`
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"""
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ExpDecay(eta, decay, decay_step, clip)
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Discount the learning rate `eta` by `decay` every `decay_step` till a minimum of `clip`.
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Discount the learning rate `eta` by a multiplicative factor `decay` every `decay_step` till a minimum of `clip`.
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## Parameters
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- Learning Rate (eta): Defaults to `0.001`.
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Loading…
Reference in New Issue