metadata
license: mit
datasets:
- omarmomen/babylm_10M
language:
- en
metrics:
- perplexity
library_name: transformers
pipeline_tag: fill-mask
Model Card for omarmomen/sf_babylm_1
This model is part of the experiments in my master's thesis titled "Linguistic Structure Induction from Language Models" (https://arxiv.org/abs/2403.09714).
"omarmomen/sf_babylm_1" is the StructFormer (SF_m=0) referred to in Chapter 5 (p. 59), where the parser network is position ahead of all the attention blocks.
The model is trained on the BabyLM 10M dataset, with a RobertaTokenizer pretrained on the BabyLM 10M dataset with 16K tokens (https://huggingface.co/omarmomen/babylm_bpe_tokenizer_16k).