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bclavie/distiledubert
distiledubert is a machine learning model from bclavie. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
This is the EduBERT model used in the EduBERT: Pretrained Deep Language Models for Learning Analytics from LAK20. It is a fine-tuned version of DistilBERT on educational data.
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From the Hugging Face model README
This is the EduBERT model used in the EduBERT: Pretrained Deep Language Models for Learning Analytics from LAK20. It is a fine-tuned version of DistilBERT on educational data.
We originally trained this model to support Learning Analytics task, showing it performed well on well-known educational text classification task.
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.
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)}
}