Update README.md

README.md

@@ -25,7 +25,7 @@ For more details, please see our github repository: [HDT](https://github.com/aut
 ## Model Details
 The model, which has a context length of `8192` and is similar in size to BERT with approximately `110M` parameters,
 was trained on standard masked language modeling task with a Transformer-based architecture using our proposed hierarchical attention. 
-The training regimen comprised 24 hours on the ArXiv+Wikipedia+HUPD corpus, involving the processing of a total of `160 million` tokens.
+The training regimen comprised 24 hours on the ArXiv+Wikipedia+HUPD corpus, involving the processing of a total of `1.3 billion` tokens.
 
 For more details, please see our paper: [HDT: Hierarchical Document Transformer](https://arxiv.org/pdf/2407.08330).