Update README.md

README.md

@@ -14,7 +14,7 @@ Javanese RoBERTa Small is a masked language model based on the [RoBERTa model](h
 
 The model was originally HuggingFace's pretrained [English RoBERTa model](https://huggingface.co/roberta-base) and is later fine-tuned on the Javanese dataset. It achieved a perplexity of 33.30 on the validation dataset (20% of the articles). Many of the techniques used are based on a Hugging Face tutorial [notebook](https://github.com/huggingface/notebooks/blob/master/examples/language_modeling.ipynb) written by [Sylvain Gugger](https://github.com/sgugger), and [fine-tuning tutorial notebook](https://github.com/piegu/fastai-projects/blob/master/finetuning-English-GPT2-any-language-Portuguese-HuggingFace-fastaiv2.ipynb) written by [Pierre Guillou](https://huggingface.co/pierreguillou).
 
-Hugging Face's [Transformers]((https://huggingface.co/transformers)) library was used to train the model -- utilizing the base RoBERTa model and their `Trainer` class. PyTorch was used as the backend framework during training, but the model remains compatible with TensorFlow nonetheless.
+Hugging Face's [Transformers](https://huggingface.co/transformers) library was used to train the model -- utilizing the base RoBERTa model and their `Trainer` class. PyTorch was used as the backend framework during training, but the model remains compatible with TensorFlow nonetheless.
 
 ## Model
 | Model                    | #params | Arch.    | Training/Validation data (text)     |