chore: refactor code for validation interval and logging in BaseTrain…

…er class

audiozen/trainer/base_trainer_gan_accelerate.py

@@ -67,9 +67,7 @@ def __init__(
         self.plot_norm = self.trainer_config.get("plot_norm", True)
         self.validation_interval = self.trainer_config.get("validation_interval", 1)
         self.max_num_checkpoints = self.trainer_config.get("max_num_checkpoints", 10)
-        assert (
-            self.validation_interval >= 1
-        ), "'validation_interval' should be large than one."
+        assert self.validation_interval >= 1, "'validation_interval' should be large than one."
 
         # Count Variables
         self.total_norm = -1
@@ -147,9 +145,7 @@ def _initialize_exp_dirs_and_paths(self, config):
 
         # Each run will have a unique source code, config, and log file.
         time_now = self._get_time_now()
-        self.source_code_dir = (
-            Path(__file__).expanduser().absolute().parent.parent.parent
-        )
+        self.source_code_dir = Path(__file__).expanduser().absolute().parent.parent.parent
         self.source_code_backup_dir = self.exp_dir / f"source_code__{time_now}"
         self.config_path = self.exp_dir / f"config__{time_now}.toml"
 
@@ -241,9 +237,7 @@ def _run_early_stop_check(self, score: float, epoch: int):
         else:
             logger.info(f"Score did not improve from {self.best_score.value:.4f}.")
             self.wait_count.value += 1
-            logger.info(
-                f"Early stopping counter: {self.wait_count.value} out of {self.patience}"
-            )
+            logger.info(f"Early stopping counter: {self.wait_count.value} out of {self.patience}")
 
             if self.wait_count.value >= self.patience:
                 logger.info(f"Early stopping triggered, stopping training...")