diff --git a/train_all_future.py b/train_all_future.py
index 281d69f..9e1068f 100644
--- a/train_all_future.py
+++ b/train_all_future.py
@@ -32,6 +32,7 @@ from targets import CHECKUP_IDX, PAD_IDX
 from train_util import (
     configure_torch_for_training,
     create_unique_run_dir,
+    format_extra_info_types,
     load_extra_info_types_file,
     resolve_device,
     save_checkpoint,
@@ -340,7 +341,7 @@ def main() -> None:
 
     logger.info(f"Starting all-future training run: {run_name}")
     logger.info(f"Device: {device}")
-    logger.info(f"extra_info_types: {args.extra_info_types or 'all'}")
+    logger.info(f"extra_info_types: {format_extra_info_types(args.extra_info_types)}")
 
     logger.info("Loading all-future datasets...")
     train_dataset = AllFutureHealthDataset(
diff --git a/train_next_step.py b/train_next_step.py
index 8965bbd..35f86ff 100644
--- a/train_next_step.py
+++ b/train_next_step.py
@@ -30,6 +30,7 @@ from targets import CHECKUP_IDX, NO_EVENT_IDX, PAD_IDX
 from train_util import (
     configure_torch_for_training,
     create_unique_run_dir,
+    format_extra_info_types,
     load_extra_info_types_file,
     resolve_device,
     save_checkpoint,
@@ -526,7 +527,7 @@ def main() -> None:
 
     logger.info(f"Starting next-step training run: {run_name}")
     logger.info(f"Device: {device}")
-    logger.info(f"extra_info_types: {args.extra_info_types or 'all'}")
+    logger.info(f"extra_info_types: {format_extra_info_types(args.extra_info_types)}")
     logger.info(f"readout={args.readout_name}, target_mode={args.target_mode}")
 
     dataset = HealthDataset(
diff --git a/train_util.py b/train_util.py
index 136e6ab..1fe578c 100644
--- a/train_util.py
+++ b/train_util.py
@@ -87,6 +87,15 @@ def load_extra_info_types_file(path: str) -> list[int]:
         raise ValueError(f"Invalid extra info type id in {path}") from exc
 
 
+def format_extra_info_types(extra_info_types: Iterable[int] | None) -> str:
+    if extra_info_types is None:
+        return "all"
+    values = [int(x) for x in extra_info_types]
+    if not values:
+        return "none"
+    return str(values)
+
+
 def load_eid_file(path: str | Path) -> set[int]:
     file_path = Path(path)
     if not file_path.is_file():