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README.md

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 # MCQBert Model Card
 
-MCQBert is a robust and versatile BERT-based model fine-tuned to predict the correct answers for multiple-choice questions (MCQs) within Intelligent Tutoring Systems (ITS). Using LernnaviBERT as a base model, MCQBert is able to understand and process educational language in German, especially in grammar teaching, where sentences contain mistakes. The model processes both the text of the questions and the answer to predict the correct response to a question and is designed to be fine-tuned on student's interactions for Student Answer Forecasting.
+MCQBert is a robust and versatile BERT-based model fine-tuned to predict the correct answers for multiple-choice questions (MCQs) within Intelligent Tutoring Systems (ITS). Using [LernnaviBERT](https://huggingface.co/epfl-ml4ed/LernnaviBERT) as a base model, MCQBert is able to understand and process educational language in German, especially in grammar teaching, where sentences contain mistakes. The model processes both the text of the questions and the answer to predict the correct response to a question and is designed to be fine-tuned on student's interactions for Student Answer Forecasting.
 It is trained on one objective: given a question and answer pair, classificate whether the answer is correct or not.
 
 ### Model Sources