Update README.md

README.md

@@ -8,12 +8,12 @@ datasets:
 - oscar
 ---
 
-# RoBERTa Turkish medium Character-level 16k (uncased)
+# RoBERTa Turkish medium Character-level (uncased)
 
 Pretrained model on Turkish language using a masked language modeling (MLM) objective. The model is uncased. 
 The pretrained corpus is OSCAR's Turkish split, but it is further filtered and cleaned. 
 
-Model architecture is similar to bert-medium (8 layers, 8 heads, and 512 hidden size). Tokenization algorithm is Character-level, which means that text is split by individual characters. Vocabulary size is 16.7k. 
+Model architecture is similar to bert-medium (8 layers, 8 heads, and 512 hidden size). Tokenization algorithm is Character-level, which means that text is split by individual characters. Vocabulary size is 384. 
 
 ## Note that this model does not include a tokenizer file, because it uses ByT5Tokenizer. The following code can be used for model loading and tokenization, example max length(1024) can be changed:
 ```