diff --git a/run_wrap.py b/run_wrap.py
index a2ef54e..e2ddc39 100644
--- a/run_wrap.py
+++ b/run_wrap.py
@@ -27,8 +27,5 @@ for line in proc.stdout:
     last = dec
 t1 = time.time()
 
-print('\n---\n')
-print(enc.decode(tokens))
-
-print(f"achieved tok/s: {len(tokens) / (t1 - t0)}")
+print(f"\nachieved tok/s: {len(tokens) / (t1 - t0)}")
 proc.wait()
diff --git a/tokenizer.py b/tokenizer.py
index 5466454..765b30d 100644
--- a/tokenizer.py
+++ b/tokenizer.py
@@ -15,16 +15,14 @@ class Tokenizer:
         model_path = TOKENIZER_MODEL
         assert os.path.isfile(model_path), model_path
         self.sp_model = SentencePieceProcessor(model_file=model_path)
-        print(f"Loaded SentencePiece model from {model_path}")
+        #print(f"Loaded SentencePiece model from {model_path}")
 
         # BOS / EOS token IDs
         self.n_words: int = self.sp_model.vocab_size()
         self.bos_id: int = self.sp_model.bos_id()
         self.eos_id: int = self.sp_model.eos_id()
         self.pad_id: int = self.sp_model.pad_id()
-        print(
-            f"#words: {self.n_words} - BOS ID: {self.bos_id} - EOS ID: {self.eos_id}"
-        )
+        #print(f"#words: {self.n_words} - BOS ID: {self.bos_id} - EOS ID: {self.eos_id}")
         assert self.sp_model.vocab_size() == self.sp_model.get_piece_size()
 
     def encode(self, s: str, bos: bool, eos: bool) -> List[int]: