diff --git a/src/lightning/pytorch/tuner/lr_finder.py b/src/lightning/pytorch/tuner/lr_finder.py
index 754592b891..f39788b8ea 100644
--- a/src/lightning/pytorch/tuner/lr_finder.py
+++ b/src/lightning/pytorch/tuner/lr_finder.py
@@ -20,6 +20,7 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union, cast
 
 import torch
 from lightning_utilities.core.imports import RequirementCache
+from typing_extensions import override
 
 import lightning.pytorch as pl
 from lightning.fabric.utilities.types import _TORCH_LRSCHEDULER
@@ -379,6 +380,7 @@ class _LRCallback(Callback):
         self.progress_bar_refresh_rate = progress_bar_refresh_rate
         self.progress_bar = None
 
+    @override
     def on_train_batch_start(
         self, trainer: "pl.Trainer", pl_module: "pl.LightningModule", batch: Any, batch_idx: int
     ) -> None:
@@ -391,6 +393,7 @@ class _LRCallback(Callback):
 
         self.lrs.append(trainer.lr_scheduler_configs[0].scheduler.lr[0])  # type: ignore[union-attr]
 
+    @override
     def on_train_batch_end(
         self, trainer: "pl.Trainer", pl_module: "pl.LightningModule", outputs: STEP_OUTPUT, batch: Any, batch_idx: int
     ) -> None:
@@ -456,6 +459,8 @@ class _LinearLR(_TORCH_LRSCHEDULER):
         self.num_iter = num_iter
         super().__init__(optimizer, last_epoch)
 
+    # mypy can't follow the _TORCH_LRSCHEDULER TypeAlias, so ignore "no base method" error
+    @override  # type: ignore[misc]
     def get_lr(self) -> List[float]:
         curr_iter = self.last_epoch + 1
         r = curr_iter / self.num_iter
@@ -492,6 +497,8 @@ class _ExponentialLR(_TORCH_LRSCHEDULER):
         self.num_iter = num_iter
         super().__init__(optimizer, last_epoch)
 
+    # mypy can't follow the _TORCH_LRSCHEDULER TypeAlias, so ignore "no base method" error
+    @override  # type: ignore[misc]
     def get_lr(self) -> List[float]:
         curr_iter = self.last_epoch + 1
         r = curr_iter / self.num_iter