Increasing The Performance of Cognitively Inspired Data-Efficient Language Models via Implicit Structure Building
Paper
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2310.20589
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Published
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/transformer_base_final_2 is a baseline vanilla transformer encoder.
The model is pretrained on the BabyLM 10M dataset using a custom pretrained RobertaTokenizer (https://huggingface.co/omarmomen/babylm_tokenizer_32k).