readme: ---
  language: en
  
  tags:
  - sentence-embeddings
  - sentence-similarity
  
  ### cambridgeltl/mirror-bert-base-uncased-sentence-drophead
  An unsupervised sentence encoder proposed by [Liu et al. (2021)](https://arxiv.org/pdf/2104.08027.pdf), using [drophead](https://aclanthology.org/2020.findings-emnlp.178.pdf) instead of dropout as feature space augmentation. Trained with unlabelled raw sentences, using [bert-base-uncased](https://huggingface.co/bert-base-uncased) as the base model. Please use mean-pooling over *all tokens* as the representation of the input.
  
  Note the model does not replicate the exact numbers in the paper since the reported numbers in the paper are average of three runs.
  
  ### Citation
  ```bibtex
  @inproceedings{
  	liu2021fast,
    title={Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders},
    author={Liu, Fangyu and Vuli{\'c}, Ivan and Korhonen, Anna and Collier, Nigel},
    booktitle={EMNLP 2021},
    year={2021}
  }
  ```
  