docs: fix typo in convert.py (leejet#17)

Ikko Eltociear Ashimine · web-flow · commit cb01adee208d · 2023-08-21T21:56:21.000+08:00
signficant -&gt; significant
diff --git a/models/convert.py b/models/convert.py
@@ -111,7 +111,7 @@ def bytes_to_unicode():
     The reversible bpe codes work on unicode strings.
     This means you need a large # of unicode characters in your vocab if you want to avoid UNKs.
     When you're at something like a 10B token dataset you end up needing around 5K for decent coverage.
-    This is a signficant percentage of your normal, say, 32K bpe vocab.
+    This is a significant percentage of your normal, say, 32K bpe vocab.
     To avoid that, we want lookup tables between utf-8 bytes and unicode strings.
     And avoids mapping to whitespace/control characters the bpe code barfs on.
     """
