This model is part of the experiments in the published paper at the BabyLM workshop in CoNLL 2023. The paper titled "Increasing The Performance of Cognitively Inspired Data-Efficient Language Models via Implicit Structure Building" (https://aclanthology.org/2023.conll-babylm.29/)

omarmomen/structroberta_s2_final is a modification on the Roberta Model to incorporate syntactic inductive bias using an unsupervised parsing mechanism.

This model variant places the parser network after 4 attention blocks.

The model is pretrained on the BabyLM 10M dataset using a custom pretrained RobertaTokenizer (https://huggingface.co/omarmomen/babylm_tokenizer_32k).