diff options
Diffstat (limited to 'src/training/trainer/callbacks')
| -rw-r--r-- | src/training/trainer/callbacks/lr_schedulers.py | 5 | ||||
| -rw-r--r-- | src/training/trainer/callbacks/wandb_callbacks.py | 2 |
2 files changed, 5 insertions, 2 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.""" diff --git a/src/training/trainer/callbacks/wandb_callbacks.py b/src/training/trainer/callbacks/wandb_callbacks.py index f24e5cc..1627f17 100644 --- a/src/training/trainer/callbacks/wandb_callbacks.py +++ b/src/training/trainer/callbacks/wandb_callbacks.py @@ -111,7 +111,7 @@ class WandbImageLogger(Callback): ] ).rstrip("_") else: - ground_truth = self.targets[i] + ground_truth = self.model.mapper(int(self.targets[i])) caption = f"Prediction: {pred} Confidence: {conf:.3f} Ground Truth: {ground_truth}" images.append(wandb.Image(image, caption=caption)) |