Update README.md

README.md

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 We follow the standard fine-tuning a masked language model of [Huggingface’s NLP Course](https://huggingface.co/learn/nlp-course/chapter7/3?fw=pt).
 
 We used the models provided by HuggingFace v4.24.0, and Pytorch v1.13.0. 
-In particular, for training the model we used a batch size of 256, Adam optimizer, with a learning rate of 1e<sup>2}-5</sup>, and cross-entropy as a loss function. We trained the models for three epochs using a GPU NVIDIA Tesla V100 32GB SXM2.
+In particular, for training the model we used a batch size of 256, Adam optimizer, with a learning rate of 1e<sup>-5</sup>, and cross-entropy as a loss function. We trained the models for three epochs using a GPU NVIDIA Tesla V100 32GB SXM2.
 
 ## Usage
 # Use a pipeline as a high-level helper from transformers import pipeline