Update link to repository

README.md

@@ -14,13 +14,13 @@ CLEF 2022 and first released in [this repository][2]. This model is case-sensiti
 it makes a difference between english and English.
 
  [1]: https://www.cs.rit.edu/~dprl/ARQMath/
- [2]: https://github.com/witiko/scm-at-arqmath3/blob/main/03-finetune-roberta.ipynb
+ [2]: https://github.com/witiko/scm-at-arqmath3
 
 ## Model description
 
-MathBERTa is [the RoBERTa base transformer model][3] whose tokenizer has been
-extended with LaTeX math symbols and which has been fine-tuned on a large
-corpus of English mathematical texts.
+MathBERTa is [the RoBERTa base transformer model][3] whose [tokenizer has been
+extended with LaTeX math symbols][7] and which has been [fine-tuned on a large
+corpus of English mathematical texts][8].
 
 Like RoBERTa, MathBERTa has been fine-tuned with the Masked language modeling
 (MLM) objective. Taking a sentence, the model randomly masks 15% of the words
@@ -30,6 +30,8 @@ learns an inner representation of the English language and the language of
 LaTeX that can then be used to extract features useful for downstream tasks.
 
  [3]: https://huggingface.co/roberta-base
+ [7]: https://github.com/Witiko/scm-at-arqmath3/blob/main/02-train-tokenizers.ipynb
+ [8]: https://github.com/witiko/scm-at-arqmath3/blob/main/03-finetune-roberta.ipynb
 
 ## Intended uses & limitations