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Initial commit: FlowDock pipeline configured for WES execution
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This commit is contained in:
Olamide Isreal
2026-03-16 15:23:29 +01:00
commit a3ffec6a07
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configs/callbacks/learning_rate_monitor.yaml Normal file
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# https://lightning.ai/docs/pytorch/stable/api/lightning.pytorch.callbacks.LearningRateMonitor.html
learning_rate_monitor:
_target_: lightning.pytorch.callbacks.LearningRateMonitor
logging_interval: null # set to `epoch` or `step` to log learning rate of all optimizers at the same interval, or set to `null` to log at individual interval according to the interval key of each scheduler
log_momentum: false # whether to also log the momentum values of the optimizer, if the optimizer has the `momentum` or `betas` attribute
log_weight_decay: false # whether to also log the weight decay values of the optimizer, if the optimizer has the `weight_decay` attribute