Bert Ascii Small

🚀 bert-ascii-small

A small-size BERT Language Model pre-trained by predicting the summation of the ASCII code values of the characters in a masked token as a pre-training objective.

🚀 Quick Start

A small-size BERT Language Model is pre-trained with the objective of predicting the summation of the ASCII code values of the characters in a masked token. For more details about the pre-training objective and the pre-training hyperparameters, please refer to How does the pre-training objective affect what large language models learn about linguistic properties?

📄 License

CC BY 4.0

📚 Documentation

If you use this model, please cite the following paper:

@inproceedings{alajrami2022does,
  title={How does the pre-training objective affect what large language models learn about linguistic properties?},
  author={Alajrami, Ahmed and Aletras, Nikolaos},
  booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  pages={131--147},
  year={2022}
}