small doc fixes

Author: SkafteNicki

src/lightning/pytorch/callbacks/lr_finder.py

@@ -106,7 +106,7 @@ def __init__(
         self._attr_name = attr_name
 
         self._early_exit = False
-        self.lr_finder: Optional[_LRFinder] = None
+        self.optimal_lr: Optional[_LRFinder] = None
 
     def lr_find(self, trainer: "pl.Trainer", pl_module: "pl.LightningModule") -> None:
         with isolate_rng():

src/lightning/pytorch/tuner/lr_finder.py

@@ -71,26 +71,10 @@ class _LRFinder:
 
     Args:
         mode: either `linear` or `exponential`, how to increase lr after each step
-
         lr_min: lr to start search from
-
         lr_max: lr to stop search
-
         num_training: number of steps to take between lr_min and lr_max
 
-    Example::
-        # Run lr finder
-        lr_finder = trainer.lr_find(model)
-
-        # Results stored in
-        lr_finder.results
-
-        # Plot using
-        lr_finder.plot()
-
-        # Get suggestion
-        lr = lr_finder.suggestion()
-
     """
 
     def __init__(self, mode: str, lr_min: float, lr_max: float, num_training: int) -> None:
@@ -138,10 +122,9 @@ def plot(
         """Plot results from lr_find run
         Args:
             suggest: if True, will mark suggested lr to use with a red point
-
             show: if True, will show figure
-
             ax: Axes object to which the plot is to be drawn. If not provided, a new figure is created.
+
         """
         if not _MATPLOTLIB_AVAILABLE:
             raise MisconfigurationException(