Update README.md

README.md

@@ -93,7 +93,7 @@ print(tokenizer.decode(output))
   - **Hardware:** 8 A100 40GB GPUs ([mdx cluster](https://mdx.jp/en/))
   - **Software:** [TRL](https://github.com/huggingface/trl), [PEFT](https://github.com/huggingface/peft), and [DeepSpeed](https://github.com/microsoft/DeepSpeed)
 
-## Tokenizer (To be updated)
+## 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).
@@ -105,7 +105,7 @@ Please refer to [README.md](https://github.com/llm-jp/llm-jp-tokenizer) of `llm-
 - **Vocabulary size:** 48,588 (mixed vocabulary of Japanese, English, and source code)
 
 
-## Datasets (To be updated)
+## Datasets
 
 ### Pre-training