CosineAnnealingScheduler#
- class composer.optim.CosineAnnealingScheduler(t_max='1dur', alpha_f=0.0)[source]#
- Decays the learning rate according to the decreasing part of a cosine curve. - See also - This scheduler is based on - CosineAnnealingLRfrom PyTorch.- Specifically, the learning rate multiplier \(\alpha\) can be expressed as: \[\alpha(t) = \alpha_f + (1 - \alpha_f) \times \frac{1}{2} (1 + \cos(\pi \times \tau)) \]- Given \(\tau\), the fraction of time elapsed (clipped to the interval \([0, 1]\)), as: \[\tau = t / t_{max} \]- Where \(t_{max}\) represents the duration of this scheduler, and \(\alpha_f\) represents the learning rate multiplier to decay to.