diff --git a/torch_uncertainty/utils/evaluation_loop.py b/torch_uncertainty/utils/evaluation_loop.py
index d079cae4..f3088103 100644
--- a/torch_uncertainty/utils/evaluation_loop.py
+++ b/torch_uncertainty/utils/evaluation_loop.py
@@ -27,7 +27,7 @@
 def _add_row(table: Table, metric_name: str, value: Tensor) -> None:
     if metric_name in PERCENTAGE_METRICS:
         value = value * 100
-        table.add_row(metric_name, f"{value.item():.2f}%")
+        table.add_row(metric_name, f"{value.item():.3f}%")
     else:
         table.add_row(metric_name, f"{value.item():.5f}")
 
diff --git a/torch_uncertainty/utils/to_hub_format.py b/torch_uncertainty/utils/to_hub_format.py
index 1e1136d3..8db9bcea 100644
--- a/torch_uncertainty/utils/to_hub_format.py
+++ b/torch_uncertainty/utils/to_hub_format.py
@@ -24,7 +24,7 @@
     raise ValueError("File does not exist")
 
 dtype = torch.float16 if args.fp16 else torch.float32
-model = torch.load(args.path)["state_dict"]
+model = torch.load(args.path, weights_only=True)["state_dict"]
 model = {key.replace("model.", ""): val.to(device="cpu", dtype=dtype) for key, val in model.items()}
 
 output_name = args.name