readme: A RoBERTa model trained using Data2Vec based on the paper [data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language](https://arxiv.org/abs/2202.03555).<br>
  This model is provided here for [this repo](https://github.com/AryanShekarlaban/data2vec-pytorch) but was NOT trained using that codebase but instead, copied from `facebook/data2vec-text-base` for convenience and reproducibility.
  
  ### BibTeX entry and citation info
  
  ```bibtex
  @misc{https://doi.org/10.48550/arxiv.2202.03555,
    doi = {10.48550/ARXIV.2202.03555},
    url = {https://arxiv.org/abs/2202.03555},
    author = {Baevski, Alexei and Hsu, Wei-Ning and Xu, Qiantong and Babu, Arun and Gu, Jiatao and Auli, Michael},
    keywords = {Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
    title = {data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language},
    publisher = {arXiv},
    year = {2022},
    copyright = {arXiv.org perpetual, non-exclusive license}
  }
  ```