README.md

QD-ELC-BERT

My own implementation of the babyLM ELC BERT, as described in the 2023 paper "Not all layers are equally as important: Every Layer Counts BERT" by Charpentier and Samuel.

#Bibliography

@inproceedings{georges-gabriel-charpentier-samuel-2023-layers,
    title = "Not all layers are equally as important: Every Layer Counts {BERT}",
    author = "Georges Gabriel Charpentier, Lucas  and
      Samuel, David",
    editor = "Warstadt, Alex  and
      Mueller, Aaron  and
      Choshen, Leshem  and
      Wilcox, Ethan  and
      Zhuang, Chengxu  and
      Ciro, Juan  and
      Mosquera, Rafael  and
      Paranjabe, Bhargavi  and
      Williams, Adina  and
      Linzen, Tal  and
      Cotterell, Ryan",
    booktitle = "Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.conll-babylm.20",
    doi = "10.18653/v1/2023.conll-babylm.20",
    pages = "238--252",
}