diff --git a/edspdf/pipeline.py b/edspdf/pipeline.py
index d1652740..8944ade1 100644
--- a/edspdf/pipeline.py
+++ b/edspdf/pipeline.py
@@ -588,16 +588,21 @@ def collate(
         return batch
 
     def parameters(self):
+        """Returns an iterator over the Pytorch parameters of the components in the
+        pipeline"""
+        return (p for n, p in self.named_parameters())
+
+    def named_parameters(self):
         """Returns an iterator over the Pytorch parameters of the components in the
         pipeline"""
         seen = set()
         for name, component in self.pipeline:
-            if hasattr(component, "parameters"):
-                for param in component.parameters():
+            if hasattr(component, "named_parameters"):
+                for param_name, param in component.named_parameters():
                     if param in seen:
                         continue
                     seen.add(param)
-                    yield param
+                    yield f"{name}.{param_name}", param
 
     def to(self, device: Optional[torch.device] = None):
         """Moves the pipeline to a given device"""
diff --git a/edspdf/pipes/embeddings/huggingface_embedding.py b/edspdf/pipes/embeddings/huggingface_embedding.py
index 39544c4e..b30c7dfe 100644
--- a/edspdf/pipes/embeddings/huggingface_embedding.py
+++ b/edspdf/pipes/embeddings/huggingface_embedding.py
@@ -256,12 +256,11 @@ def collate(self, batch, device):
         collated = {
             "input_ids": as_folded_tensor(batch["input_ids"], **kw, dtype=torch.long),
             "bbox": as_folded_tensor(batch["bbox"], **kw, dtype=torch.long),
-            "windows": windows,
-            "indexer": indexer[line_window_indices],
-            "line_window_indices": indexer[line_window_indices].as_tensor(),
-            "line_window_offsets_flat": line_window_offsets_flat,
+            "windows": windows.to(device),
+            "indexer": indexer[line_window_indices].to(device),
+            "line_window_indices": indexer[line_window_indices].as_tensor().to(device),
+            "line_window_offsets_flat": line_window_offsets_flat.to(device),
         }
-        print(windows_count_per_page)
         if self.use_image:
             collated["pixel_values"] = (
                 torch.stack(
diff --git a/edspdf/structures.py b/edspdf/structures.py
index 46629a64..ba632bee 100644
--- a/edspdf/structures.py
+++ b/edspdf/structures.py
@@ -201,7 +201,7 @@ class Box(BaseModel):
 
     @property
     def page(self):
-        return self.doc.pages[self.page_num]
+        return next(p for p in self.doc.pages if p.page_num == self.page_num)
 
     def __lt__(self, other):
         self_page_num = self.page_num or 0