fix tokenizer explanation

README.md

@@ -94,7 +94,7 @@ print(tokenizer.decode(output))
 ## Tokenizer
 
 The tokenizer of this model is based on [huggingface/tokenizers](https://github.com/huggingface/tokenizers) Unigram byte-fallback model.
-The vocabulary entries were converted from [`llm-jp-tokenizer v2.2 (50k)`](https://github.com/llm-jp/llm-jp-tokenizer/releases/tag/v2.2).
+The vocabulary entries were converted from [`llm-jp-tokenizer v2.2 (100k: code20K_en40K_ja60K.ver2.2)`](https://github.com/llm-jp/llm-jp-tokenizer/releases/tag/v2.2).
 Please refer to [README.md](https://github.com/llm-jp/llm-jp-tokenizer) of `llm-ja-tokenizer` for details on the vocabulary construction procedure (the pure SentencePiece training does not reproduce our vocabulary).
 
 - **Model:** Hugging Face Fast Tokenizer using Unigram byte-fallback model which requires `tokenizers>=0.14.0`