Update README.md

README.md

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 ---
 license: mit
+language:
+- en
+tags:
+- education
 ---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This is the DistilEduBERT model used in the [EduBERT: Pretrained Deep Language Models for Learning Analytics](https://arxiv.org/abs/1912.00690) from LAK20. It is a fine-tuned version of DistilBERT.
+
+## Model Description
+
+We originally trained this model to support Learning Analytics task, showing it performed well on well-known educational text classification task.
+
+## Bias, Risks, and Limitations
+
+The model is provided as-is, and trained on the data described in the paper. Learning Analytics is a complex field, and decisions should not be taken fully automatically by models. This model should be used for analysis and to inform only.
+
+## Citation
+
+**BibTeX:**
+
+@inproceedings{clavié2019edubert,
+      title={EduBERT: Pretrained Deep Language Models for Learning Analytics}, 
+      author={Benjamin Clavié and Kobi Gal},
+      year={2020},
+      booktitle={Companion Proceedings of the The 10th international Learning Analytics & Knowledge (LAK20)}
+}