diff --git a/example_data/config.yaml b/example_data/config.yaml
index 90e1e42..e3cd7ff 100644
--- a/example_data/config.yaml
+++ b/example_data/config.yaml
@@ -109,7 +109,7 @@ train:
     sigma: 3
 
   trainer:
-    max_epochs: 40
+    max_epochs: 5
 
   dataloaders:
     train:
diff --git a/src/batdetect2/cli/train.py b/src/batdetect2/cli/train.py
index 864dfda..2911db3 100644
--- a/src/batdetect2/cli/train.py
+++ b/src/batdetect2/cli/train.py
@@ -27,6 +27,7 @@ __all__ = ["train_command"]
 @click.option("--train-workers", type=int)
 @click.option("--val-workers", type=int)
 @click.option("--experiment-name", type=str)
+@click.option("--seed", type=int)
 @click.option(
     "-v",
     "--verbose",
@@ -41,6 +42,7 @@ def train_command(
     log_dir: Optional[Path] = None,
     config: Optional[Path] = None,
     config_field: Optional[str] = None,
+    seed: Optional[int] = None,
     train_workers: int = 0,
     val_workers: int = 0,
     experiment_name: Optional[str] = None,
@@ -92,4 +94,5 @@ def train_command(
         experiment_name=experiment_name,
         log_dir=log_dir,
         checkpoint_dir=ckpt_dir,
+        seed=seed,
     )
diff --git a/src/batdetect2/train/logging.py b/src/batdetect2/train/logging.py
index da576f6..517acb7 100644
--- a/src/batdetect2/train/logging.py
+++ b/src/batdetect2/train/logging.py
@@ -9,7 +9,7 @@ from soundevent import data
 
 from batdetect2.configs import BaseConfig
 
-DEFAULT_LOGS_DIR: str = "outputs"
+DEFAULT_LOGS_DIR: str = "outputs/logs"
 
 
 class DVCLiveConfig(BaseConfig):
diff --git a/src/batdetect2/train/train.py b/src/batdetect2/train/train.py
index b4b3061..24c54de 100644
--- a/src/batdetect2/train/train.py
+++ b/src/batdetect2/train/train.py
@@ -2,7 +2,7 @@ from collections.abc import Sequence
 from typing import List, Optional
 
 import torch
-from lightning import Trainer
+from lightning import Trainer, seed_everything
 from lightning.pytorch.callbacks import Callback, ModelCheckpoint
 from loguru import logger
 from soundevent import data
@@ -56,7 +56,11 @@ def train(
     checkpoint_dir: Optional[data.PathLike] = None,
     log_dir: Optional[data.PathLike] = None,
     experiment_name: Optional[str] = None,
+    seed: Optional[int] = None,
 ):
+    if seed is not None:
+        seed_everything(seed)
+
     config = config or FullTrainingConfig()
 
     targets = build_targets(config.targets)