Update README.md

README.md

@@ -20,17 +20,17 @@ This exists for comparison to [BEE-spoke-data/wordpiece-tokenizer-32k-en_code-ms
 
 where `bert-base-uncased`'s tokenizer is the base tokenizer:
 
-Total tokens in base tokenizer: 30527
-Total tokens in retrained tokenizer: 31999
-Number of common tokens: 19535
-Tokens unique to base tokenizer: 10992
+Total tokens in base tokenizer: 30527  
+Total tokens in retrained tokenizer: 31999  
+Number of common tokens: 19535  
+Tokens unique to base tokenizer: 10992  
 Tokens unique to retrained tokenizer: 12464
-
-Example common tokens:
+  
+Example common tokens:  
 `['##cts', 'accounted', '##rik', 'fairness', 'music', 'dragons', 'manga', 'vermont', 'matters', '##iting']`
 
-Example tokens unique to base:
+Example tokens unique to base:  
 `['federer', 'caucasian', 'remade', '##დ', '[unused134]', 'downfall', 'sahib', '[unused225]', '##ngo', '[unused684]', 'scared', '##gated', 'grinned', 'slick', 'bahn', '##〉', '##reus', 'ufo', 'gathers', 'bayern']`
 
-Example tokens unique to retrained:
+Example tokens unique to retrained:  
 `['odot', '##dx', 'mathscr', '##517', 'matplotlib', 'cruc', 'tlie', '##osl', 'qg', 'oc', 'sach', '##colsep', '479', 'conclud', 'iniqu', '##ahan', 'pn', 'foref', 'rapidity', 'faraday']`