From cb01adee208dea92b51561a65806bf061a05860b Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Mon, 21 Aug 2023 22:56:21 +0900 Subject: [PATCH] docs: fix typo in convert.py (#17) signficant -> significant --- models/convert.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models/convert.py b/models/convert.py index d21ebd7..3750e04 100644 --- 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. """