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license: mit
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license: mit
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language:
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- en
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tags:
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- education
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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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.
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## Model Description
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We originally trained this model to support Learning Analytics task, showing it performed well on well-known educational text classification task.
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## Bias, Risks, and Limitations
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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.
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## Citation
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**BibTeX:**
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@inproceedings{clavié2019edubert,
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title={EduBERT: Pretrained Deep Language Models for Learning Analytics},
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author={Benjamin Clavié and Kobi Gal},
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year={2020},
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booktitle={Companion Proceedings of the The 10th international Learning Analytics & Knowledge (LAK20)}
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}
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