Update README.md

README.md

@@ -70,10 +70,6 @@ Training code can be found at https://github.com/llm-jp/llm-jp-modernbert
 
 The blank in stage 2 indicate the same value as in stage 1.
 
-In theory, stage 1 consumes 1.7T tokens, but sentences with fewer than 1024 tokens are truncated, so the actual consumption is lower. Stage 2 theoretically consumes 0.6T tokens.
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-For reference, [ModernBERT](https://arxiv.org/abs/2412.13663) uses 1.72T tokens for stage 1, 250B tokens for stage 2, and 50B tokens for stage 3.
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 ## Evaluation
 
 JSTS, JNLI, and JCoLA from [JGLUE](https://aclanthology.org/2022.lrec-1.317/) were used.