Update README.md

README.md

@@ -25,7 +25,7 @@ To train ElhBERTeu, we collected different corpora sources from several domains:
 
 ElhBERTeu is a base, cased monolingual BERT model for Basque, with a vocab size of 50K, which has 124M parameters in total.
 
-ElhBERTeu was trained following the design decisions for [BERTeus](https://huggingface.co/ixa-ehu/berteus-base-cased). The tokenizer and the hyper-parameter settings remained the same, with the only difference being that the full pre-training of the model (1M steps) was performed with a batch_size of 256 and a sequence_length of 512 on a v3-8 TPU.
+ElhBERTeu was trained following the design decisions for [BERTeus](https://huggingface.co/ixa-ehu/berteus-base-cased). The tokenizer and the hyper-parameter settings remained the same (batch_size=256), with the only difference being that the full pre-training of the model (1M steps) was performed with a sequence length of 512 on a v3-8 TPU.
 
 The model has been evaluated on the recently created [BasqueGLUE](https://github.com/Elhuyar/BasqueGLUE) NLU benchmark: