diff --git a/gfun/generalizedFunnelling.py b/gfun/generalizedFunnelling.py
index 88009b4..5044583 100644
--- a/gfun/generalizedFunnelling.py
+++ b/gfun/generalizedFunnelling.py
@@ -47,8 +47,8 @@ class GeneralizedFunnelling:
         self.posteriors_vgf = posterior
         self.wce_vgf = wce
         self.multilingual_vgf = multilingual
-        self.textual_trasformer_vgf = textual_transformer
-        self.visual_transformer_vgf = visual_transformer
+        self.textual_trf_vgf = textual_transformer
+        self.visual_trf_vgf = visual_transformer
         self.probabilistic = probabilistic
         self.num_labels = num_labels
         # ------------------------
@@ -56,7 +56,7 @@ class GeneralizedFunnelling:
         self.embed_dir = embed_dir
         self.cached = True
         # Textual Transformer VGF params ----------
-        self.textaul_transformer_name = textual_transformer_name
+        self.textual_trf_name = textual_transformer_name
         self.epochs = epochs
         self.lr_transformer = lr
         self.batch_size_transformer = batch_size
@@ -66,7 +66,7 @@ class GeneralizedFunnelling:
         self.evaluate_step = evaluate_step
         self.device = device
         # Visual Transformer VGF params ----------
-        self.visual_transformer_name = visual_transformer_name
+        self.visual_trf_name = visual_transformer_name
         # Metaclassifier params ------------
         self.optimc = optimc
         # -------------------
@@ -142,10 +142,10 @@ class GeneralizedFunnelling:
             wce_vgf = WceGen(n_jobs=self.n_jobs)
             self.first_tier_learners.append(wce_vgf)
 
-        if self.textual_trasformer_vgf:
+        if self.textual_trf_vgf:
             transformer_vgf = TextualTransformerGen(
                 dataset_name=self.dataset_name,
-                model_name=self.textaul_transformer_name,
+                model_name=self.textual_trf_name,
                 lr=self.lr_transformer,
                 epochs=self.epochs,
                 batch_size=self.batch_size_transformer,
@@ -159,7 +159,7 @@ class GeneralizedFunnelling:
             )
             self.first_tier_learners.append(transformer_vgf)
 
-        if self.visual_transformer_vgf:
+        if self.visual_trf_vgf:
             visual_trasformer_vgf = VisualTransformerGen(
                 dataset_name=self.dataset_name,
                 model_name="vit",
@@ -198,8 +198,8 @@ class GeneralizedFunnelling:
             self.posteriors_vgf,
             self.multilingual_vgf,
             self.wce_vgf,
-            self.textual_trasformer_vgf,
-            self.visual_transformer_vgf,
+            self.textual_trf_vgf,
+            self.visual_trf_vgf,
             self.aggfunc,
         )
         print(f"- model id: {self._model_id}")
@@ -373,7 +373,7 @@ class GeneralizedFunnelling:
                 "rb",
             ) as vgf:
                 first_tier_learners.append(pickle.load(vgf))
-        if self.textual_trasformer_vgf:
+        if self.textual_trf_vgf:
             with open(
                 os.path.join(
                     "models", "vgfs", "transformer", f"transformerGen_{model_id}.pkl"