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author | aktersnurra <gustaf.rydholm@gmail.com> | 2020-11-08 12:41:04 +0100 |
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committer | aktersnurra <gustaf.rydholm@gmail.com> | 2020-11-08 12:41:04 +0100 |
commit | beeaef529e7c893a3475fe27edc880e283373725 (patch) | |
tree | 59eb72562bf7a5a9470c2586e6280600ad94f1ae /src/training/trainer/callbacks/lr_schedulers.py | |
parent | 4d7713746eb936832e84852e90292936b933e87d (diff) |
Trying to get the CNNTransformer to work, but it is hard.
Diffstat (limited to 'src/training/trainer/callbacks/lr_schedulers.py')
-rw-r--r-- | src/training/trainer/callbacks/lr_schedulers.py | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/src/training/trainer/callbacks/lr_schedulers.py b/src/training/trainer/callbacks/lr_schedulers.py index 907e292..630c434 100644 --- a/src/training/trainer/callbacks/lr_schedulers.py +++ b/src/training/trainer/callbacks/lr_schedulers.py @@ -22,7 +22,10 @@ class LRScheduler(Callback): def on_epoch_end(self, epoch: int, logs: Optional[Dict] = None) -> None: """Takes a step at the end of every epoch.""" if self.interval == "epoch": - self.lr_scheduler.step() + if "ReduceLROnPlateau" in self.lr_scheduler.__class__.__name__: + self.lr_scheduler.step(logs["val_loss"]) + else: + self.lr_scheduler.step() def on_train_batch_end(self, batch: int, logs: Optional[Dict] = None) -> None: """Takes a step at the end of every training batch.""" |