diff --git a/src/batdetect2/cli/train.py b/src/batdetect2/cli/train.py
index 823e7bb..330c0c1 100644
--- a/src/batdetect2/cli/train.py
+++ b/src/batdetect2/cli/train.py
@@ -1,3 +1,4 @@
+import sys
 from pathlib import Path
 from typing import Optional
 
@@ -25,6 +26,12 @@ __all__ = [
 @click.option("--config-field", type=str)
 @click.option("--train-workers", type=int, default=0)
 @click.option("--val-workers", type=int, default=0)
+@click.option(
+    "-v",
+    "--verbose",
+    count=True,
+    help="Increase verbosity. -v for INFO, -vv for DEBUG.",
+)
 def train_command(
     train_dir: Path,
     val_dir: Optional[Path] = None,
@@ -33,7 +40,17 @@ def train_command(
     config_field: Optional[str] = None,
     train_workers: int = 0,
     val_workers: int = 0,
+    verbose: int = 0,
 ):
+    logger.remove()
+    if verbose == 0:
+        log_level = "WARNING"
+    elif verbose == 1:
+        log_level = "INFO"
+    else:
+        log_level = "DEBUG"
+    logger.add(sys.stderr, level=log_level)
+
     logger.info("Starting training!")
 
     conf = (
diff --git a/src/batdetect2/train/config.py b/src/batdetect2/train/config.py
index 2f1ff42..c6c17af 100644
--- a/src/batdetect2/train/config.py
+++ b/src/batdetect2/train/config.py
@@ -50,7 +50,7 @@ class TrainingConfig(PLTrainerConfig):
     learning_rate: float = 1e-3
     t_max: int = 100
     loss: LossConfig = Field(default_factory=LossConfig)
-    augmentations: AugmentationsConfig = Field(
+    augmentations: Optional[AugmentationsConfig] = Field(
         default_factory=lambda: DEFAULT_AUGMENTATION_CONFIG
     )
     cliping: ClipingConfig = Field(default_factory=ClipingConfig)
diff --git a/src/batdetect2/train/train.py b/src/batdetect2/train/train.py
index 1feb5a1..dce0221 100644
--- a/src/batdetect2/train/train.py
+++ b/src/batdetect2/train/train.py
@@ -164,10 +164,17 @@ def build_train_dataset(
         clipper=clipper,
     )
 
-    augmentations = build_augmentations(
-        preprocessor,
-        config=config.augmentations,
-        example_source=random_example_source,
+    logger.debug(
+        "Augmentations config: {}.", config.augmentations
+    )
+    augmentations = (
+        build_augmentations(
+            preprocessor,
+            config=config.augmentations,
+            example_source=random_example_source,
+        )
+        if config.augmentations
+        else None
     )
 
     return LabeledDataset(