diff --git a/docs/source/tutorials/Tutorial 02 - Loading Data from Unstructured Directory.ipynb b/docs/source/tutorials/Tutorial 02 - Loading Data from Unstructured Directory.ipynb
index 608be71..dfc8d1a 100644
--- a/docs/source/tutorials/Tutorial 02 - Loading Data from Unstructured Directory.ipynb	
+++ b/docs/source/tutorials/Tutorial 02 - Loading Data from Unstructured Directory.ipynb	
@@ -79,7 +79,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "4633ec79",
    "metadata": {},
    "outputs": [
@@ -139,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "adc51b1c",
    "metadata": {},
    "outputs": [
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "b3f8bdd9",
    "metadata": {},
    "outputs": [],
@@ -201,7 +201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "25f562c0",
    "metadata": {},
    "outputs": [
@@ -357,7 +357,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "5faa9122",
    "metadata": {},
    "outputs": [],
diff --git a/src/deepaudiox/modules/constructors.py b/src/deepaudiox/modules/constructors.py
index 51e87cd..266bb19 100644
--- a/src/deepaudiox/modules/constructors.py
+++ b/src/deepaudiox/modules/constructors.py
@@ -49,7 +49,7 @@ def _resolve_backbone(
                 downloader = Downloader()
                 ckpt_path = downloader.download_checkpoint(backbone)
                 ckpt = load_checkpoint(ckpt_path)
-                model.load_state_dict(ckpt)
+                model.load_state_dict(ckpt, strict=False)
         else:
             model = backbone
 
@@ -165,7 +165,7 @@ def from_checkpoint(cls, path: str) -> "BackboneConstructor":
                 "Cannot reconstruct model from checkpoint: a custom BaseBackbone instance was used. "
                 "Instantiate the model manually and call model.load_state_dict(torch.load(path)['state_dict'])."
             )
-        model = cls(**ckpt["config"])
+        model = cls(**{**ckpt["config"], "pretrained": False})
         model.load_state_dict(ckpt["state_dict"])
         return model
 
@@ -326,7 +326,7 @@ def from_checkpoint(cls, path: str) -> "AudioClassifierConstructor":
                 "Cannot reconstruct model from checkpoint: a custom BaseBackbone instance was used. "
                 "Instantiate the model manually and call model.load_state_dict(torch.load(path)['state_dict'])."
             )
-        model = cls(**ckpt["config"])
+        model = cls(**{**ckpt["config"], "pretrained": False})
         model.load_state_dict(ckpt["state_dict"])
         return model
 
diff --git a/tests/test_deepaudiox.py b/tests/test_deepaudiox.py
index 84797c9..b30542d 100644
--- a/tests/test_deepaudiox.py
+++ b/tests/test_deepaudiox.py
@@ -270,7 +270,12 @@ def test_evaluation_loop():
     model = dax.AudioClassifier.from_checkpoint(str(path_to_checkpoint))
 
     evaluator = dax.Evaluator(
-        test_dset=test_dataset, model=model, num_workers=4, batch_size=16, class_mapping=class_mapping, device=TEST_DEVICE
+        test_dset=test_dataset, 
+        model=model, 
+        num_workers=4,
+        batch_size=16,
+        class_mapping=class_mapping, 
+        device=TEST_DEVICE
     )
 
     evaluator.evaluate()