1 files changed, 0 insertions, 97 deletions
diff --git a/src/training/callbacks/lr_schedulers.py b/src/training/callbacks/lr_schedulers.py
deleted file mode 100644
index 00c7e9b..0000000
--- a/src/training/callbacks/lr_schedulers.py
+++ /dev/null
@@ -1,97 +0,0 @@
-"""Callbacks for learning rate schedulers."""
-from typing import Callable, Dict, List, Optional, Type
-
-from training.callbacks import Callback
-
-from text_recognizer.models import Model
-
-
-class StepLR(Callback):
-    """Callback for StepLR."""
-
-    def __init__(self) -> None:
-        """Initializes the callback."""
-        super().__init__()
-        self.lr_scheduler = None
-
-    def set_model(self, model: Type[Model]) -> None:
-        """Sets the model and lr scheduler."""
-        self.model = model
-        self.lr_scheduler = self.model.lr_scheduler
-
-    def on_epoch_end(self, epoch: int, logs: Dict = {}) -> None:
-        """Takes a step at the end of every epoch."""
-        self.lr_scheduler.step()
-
-
-class MultiStepLR(Callback):
-    """Callback for MultiStepLR."""
-
-    def __init__(self) -> None:
-        """Initializes the callback."""
-        super().__init__()
-        self.lr_scheduler = None
-
-    def set_model(self, model: Type[Model]) -> None:
-        """Sets the model and lr scheduler."""
-        self.model = model
-        self.lr_scheduler = self.model.lr_scheduler
-
-    def on_epoch_end(self, epoch: int, logs: Dict = {}) -> None:
-        """Takes a step at the end of every epoch."""
-        self.lr_scheduler.step()
-
-
-class ReduceLROnPlateau(Callback):
-    """Callback for ReduceLROnPlateau."""
-
-    def __init__(self) -> None:
-        """Initializes the callback."""
-        super().__init__()
-        self.lr_scheduler = None
-
-    def set_model(self, model: Type[Model]) -> None:
-        """Sets the model and lr scheduler."""
-        self.model = model
-        self.lr_scheduler = self.model.lr_scheduler
-
-    def on_epoch_end(self, epoch: int, logs: Dict = {}) -> None:
-        """Takes a step at the end of every epoch."""
-        val_loss = logs["val_loss"]
-        self.lr_scheduler.step(val_loss)
-
-
-class CyclicLR(Callback):
-    """Callback for CyclicLR."""
-
-    def __init__(self) -> None:
-        """Initializes the callback."""
-        super().__init__()
-        self.lr_scheduler = None
-
-    def set_model(self, model: Type[Model]) -> None:
-        """Sets the model and lr scheduler."""
-        self.model = model
-        self.lr_scheduler = self.model.lr_scheduler
-
-    def on_train_batch_end(self, batch: int, logs: Dict = {}) -> None:
-        """Takes a step at the end of every training batch."""
-        self.lr_scheduler.step()
-
-
-class OneCycleLR(Callback):
-    """Callback for OneCycleLR."""
-
-    def __init__(self) -> None:
-        """Initializes the callback."""
-        super().__init__()
-        self.lr_scheduler = None
-
-    def set_model(self, model: Type[Model]) -> None:
-        """Sets the model and lr scheduler."""
-        self.model = model
-        self.lr_scheduler = self.model.lr_scheduler
-
-    def on_train_batch_end(self, batch: int, logs: Dict = {}) -> None:
-        """Takes a step at the end of every training batch."""
-        self.lr_scheduler.step()