fix: self.clip → self.backbone in forward(), stale comment

clip_head.py

@@ -32,7 +32,7 @@ class CreativeScorer(nn.Module):
             pass
         else:
             with torch.no_grad():
-                clip_out = self.clip(pixel_values=pixel_values)
+                clip_out = self.backbone(pixel_values=pixel_values)
                 embedding = clip_out.pooler_output  # (batch, 768)
 
         shared = self.projection(embedding)         # (batch, 256)

gradcam.py

@@ -41,7 +41,7 @@ def _compute_cam(
     model.zero_grad()
 
     # Forward outside torch.no_grad() so autograd builds the computation graph.
-    # The clip block inside forward() uses its own no_grad, so the backbone stays
+    # The backbone block inside forward() uses its own no_grad, so the backbone stays
     # frozen while the projection layer's params remain in the graph.
     outputs = model(pixel_values)
     shared_repr = outputs["shared_repr"]  # (1, 256)