diff --git a/bin/run-ldc93s1.py b/bin/run-ldc93s1.py
index 610d20ba..e266b7a4 100755
--- a/bin/run-ldc93s1.py
+++ b/bin/run-ldc93s1.py
@@ -6,7 +6,7 @@ from coqui_stt_training.train import train, test, early_training_checks
 import tensorflow.compat.v1 as tfv1
 
 # only one GPU for only one training sample
-os.environ['CUDA_VISIBLE_DEVICES']='0'
+os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 
 download_ldc("data/ldc93s1")
 
@@ -18,7 +18,7 @@ initialize_globals_from_args(
     test_files=["data/ldc93s1/ldc93s1.csv"],
     augment=["time_mask"],
     n_hidden=100,
-    epochs=200
+    epochs=200,
 )
 
 early_training_checks()
diff --git a/training/coqui_stt_training/util/config.py b/training/coqui_stt_training/util/config.py
index d7a19ffa..9427c382 100755
--- a/training/coqui_stt_training/util/config.py
+++ b/training/coqui_stt_training/util/config.py
@@ -79,16 +79,24 @@ class _SttConfig(Coqpit):
         # from the same dir.
 
         # if save_checkpoint_dir hasn't been set, or checkpoint_dir is new
-        if (not self.save_checkpoint_dir) or (self.save_checkpoint_dir is not self.checkpoint_dir):
+        if (not self.save_checkpoint_dir) or (
+            self.save_checkpoint_dir is not self.checkpoint_dir
+        ):
             if not self.checkpoint_dir:
-                self.checkpoint_dir = xdg.save_data_path(os.path.join("stt", "checkpoints"))
+                self.checkpoint_dir = xdg.save_data_path(
+                    os.path.join("stt", "checkpoints")
+                )
                 self.save_checkpoint_dir = self.checkpoint_dir
             else:
                 self.save_checkpoint_dir = self.checkpoint_dir
         # if load_checkpoint_dir hasn't been set, or checkpoint_dir is new
-        if (not self.load_checkpoint_dir) or (self.load_checkpoint_dir is not self.checkpoint_dir):
+        if (not self.load_checkpoint_dir) or (
+            self.load_checkpoint_dir is not self.checkpoint_dir
+        ):
             if not self.checkpoint_dir:
-                self.checkpoint_dir = xdg.load_data_path(os.path.join("stt", "checkpoints"))
+                self.checkpoint_dir = xdg.load_data_path(
+                    os.path.join("stt", "checkpoints")
+                )
                 self.load_checkpoint_dir = self.checkpoint_dir
             else:
                 self.load_checkpoint_dir = self.checkpoint_dir
@@ -138,10 +146,12 @@ class _SttConfig(Coqpit):
         # please refer to doc/Geometry.md
 
         # Number of MFCC features
-        self.n_input = 26 # TODO: Determine this programmatically from the sample rate
+        self.n_input = 26  # TODO: Determine this programmatically from the sample rate
 
         # The number of frames in the context
-        self.n_context = 9 # TODO: Determine the optimal value using a validation data set
+        self.n_context = (
+            9  # TODO: Determine the optimal value using a validation data set
+        )
 
         # Number of units in hidden layers
         self.n_hidden = self.n_hidden
@@ -171,11 +181,17 @@ class _SttConfig(Coqpit):
                 "--feature_win_len value ({}) in milliseconds ({}) multiplied "
                 "by --audio_sample_rate value ({}) must be an integer value. Adjust "
                 "your --feature_win_len value or resample your audio accordingly."
-                "".format(self.feature_win_len, self.feature_win_len / 1000, self.audio_sample_rate)
+                "".format(
+                    self.feature_win_len,
+                    self.feature_win_len / 1000,
+                    self.audio_sample_rate,
+                )
             )
             sys.exit(1)
 
-        self.audio_window_samples = self.audio_sample_rate * (self.feature_win_len / 1000)
+        self.audio_window_samples = self.audio_sample_rate * (
+            self.feature_win_len / 1000
+        )
 
         # Stride for feature computations in samples
         if (self.feature_win_step * self.audio_sample_rate) % 1000 != 0:
@@ -184,12 +200,16 @@ class _SttConfig(Coqpit):
                 "by --audio_sample_rate value ({}) must be an integer value. Adjust "
                 "your --feature_win_step value or resample your audio accordingly."
                 "".format(
-                    self.feature_win_step, self.feature_win_step / 1000, self.audio_sample_rate
+                    self.feature_win_step,
+                    self.feature_win_step / 1000,
+                    self.audio_sample_rate,
                 )
             )
             sys.exit(1)
 
-        self.audio_step_samples = self.audio_sample_rate * (self.feature_win_step / 1000)
+        self.audio_step_samples = self.audio_sample_rate * (
+            self.feature_win_step / 1000
+        )
 
         if self.one_shot_infer:
             if not path_exists_remote(self.one_shot_infer):
@@ -718,6 +738,7 @@ def initialize_globals_from_cli():
     c.__post_init__()
     _ConfigSingleton._config = c  # pylint: disable=protected-access
 
+
 def initialize_globals_from_args(**override_args):
     # Update Config with new args
     c = _SttConfig(**override_args)