diff --git a/Project_Model/Libs/BPE/Classes/NanoSocraTrainer.py b/Project_Model/Libs/BPE/Classes/NanoSocraTrainer.py
index 1d6d429..0e043c7 100644
--- a/Project_Model/Libs/BPE/Classes/NanoSocraTrainer.py
+++ b/Project_Model/Libs/BPE/Classes/NanoSocraTrainer.py
@@ -15,6 +15,7 @@ class NanoSocraTrainer:
         chunk_size: int,
         merge_treshold: int = 0,
         max_iterations: int = 0,
+        print_after_iterations: int = 1
     ) -> None:
         # Bytes
         BYTE_RESERVED_TOKENS = 256
@@ -26,6 +27,7 @@ class NanoSocraTrainer:
         self.__chunk_size = chunk_size
         self.__merge_treshold = merge_treshold
         self.__special_token_regex = special_regex_maker(special_vocabulary)
+        self.__print_after_iterations = print_after_iterations
 
     def trainBPE(
         self, path: Path, cache_dir: Path, bpe: NanoSocratesBPE | None = None
@@ -61,7 +63,9 @@ class NanoSocraTrainer:
 
             FILE = open(out_path, "w")
 
-            for _, _, output in self.__round_train(input_path, BPE, cached):
+            last_memory = None
+            for _, memory, output in self.__round_train(input_path, BPE, cached):
+                last_memory = memory
                 FILE.write(output)
 
             FILE.close()
@@ -71,6 +75,21 @@ class NanoSocraTrainer:
 
             NEW_VOC_SIZE = BPE.vocabulary_size
 
+            if current_iteration % self.__print_after_iterations == 0:
+                DELIMITER = "==============="
+
+                DEBUG = "\n".join([
+                    DELIMITER,
+                    f"ITERATION: {current_iteration}",
+                    DELIMITER,
+                    f"\tVocabulary size: {BPE.vocabulary_size}\n",
+                    f"\tFrequencies:\n{last_memory.frequencies}\n",
+                    f"\tvocabulary:\n{BPE.vocabulary}",
+                    DELIMITER,
+                    ""
+                ])
+                print(DEBUG)
+
             if LAST_VOC_SIZE == NEW_VOC_SIZE:
                 exit = True
                 continue
@@ -137,7 +156,7 @@ class NanoSocraTrainer:
     def __make_list_ids(self, corpus: str, cached: bool):
 
         if not cached:
-            return list(map(ord, corpus))
+            return list(corpus.encode("utf-8"))
 
         REDUCED_CORPUS_LEN = len(corpus) -1
 
diff --git a/Project_Model/Libs/BPE/Classes/NanoSocratesBPE.py b/Project_Model/Libs/BPE/Classes/NanoSocratesBPE.py
index c7f89ce..3238522 100644
--- a/Project_Model/Libs/BPE/Classes/NanoSocratesBPE.py
+++ b/Project_Model/Libs/BPE/Classes/NanoSocratesBPE.py
@@ -90,7 +90,7 @@ class NanoSocratesBPE(Encoder):
 
     def encode(self, piece: str) -> list[int]:
 
-        current_piece = list(map(ord, piece))
+        current_piece = list(piece.encode("utf-8"))
         new_piece = self.__round_encode(current_piece)
 
         while len(current_piece) != len(new_piece):
@@ -128,7 +128,7 @@ class NanoSocratesBPE(Encoder):
 
         return NEW_PIECE
 
-    # TODO: decode
+    # TODO: Remake decode to take a list of token IDs
     def decode(self, token_id: int) -> str:
 
         token_stack: list[int] = [token_id]