ReduceLROnPlateau scheduler, Lightning requires that the lr_scheduler_config contains the keyword "monitor" set to the metric name that the scheduler should be ...

8 янв. 2020 г. · Hello all, I'm trying to use the learning rate scheduler ReduceLROnPlateau, though I'm not sure I'm implementing this correctly.

Reduce learning rate when a metric has stopped improving. Models often benefit from reducing the learning rate by a factor of 2-10 once learning stagnates. This ...

To do more interesting things with your optimizers such as learning rate warm-up or odd scheduling, override the optimizer_step() function.

12 нояб. 2024 г. · The ReduceLROnPlateau callback monitors a specified metric, typically validation loss, and reduces the learning rate when the metric has stopped ...

14 февр. 2024 г. · I have been trying to write a lightning module using both a warmup and an annealing function ReduceLROnPlateau and something really odd is ...

31 окт. 2020 г. · MisconfigurationException: configure_optimizers must include a monitor when a ReduceLROnPlateau scheduler is used.

19 июл. 2022 г. · I'm using PyTorch lightning to handle the optimisation but I assume the problem lies in incompatibility of ReduceLROnPlateau with SequentialLR.

Lightning offers two modes for managing the optimization process. For the majority of research cases, automatic optimization will do the right thing for you.

ReduceLROnPlateau): def __init__(self, optimizer: Optimizer, monitor: str ... Read PyTorch Lightning's Privacy Policy. Get Started · Blog; Ecosystem. PyTorch ...