readme: The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the [official Google BERT repository](https://github.com/google-research/bert). These BERT variants were introduced in the paper [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://arxiv.org/abs/1908.08962). These models are trained on MNLI.
  
  If you use the model, please consider citing the paper
  ```
  @misc{bhargava2021generalization,
        title={Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics}, 
        author={Prajjwal Bhargava and Aleksandr Drozd and Anna Rogers},
        year={2021},
        eprint={2110.01518},
        archivePrefix={arXiv},
        primaryClass={cs.CL}
  }
  ```
  Original Implementation and more info can be found in [this Github repository](https://github.com/prajjwal1/generalize_lm_nli).
  
  ```
  MNLI: 60%
  MNLI-mm: 61.61%
  ```
  These models were trained for 4 epochs.
  
  [@prajjwal_1](https://twitter.com/prajjwal_1)
  