| | --- |
| | license: mit |
| | datasets: |
| | - omarmomen/babylm_10M |
| | language: |
| | - en |
| | metrics: |
| | - perplexity |
| | library_name: transformers |
| | --- |
| | # Model Card for omarmomen/babylm_tokenizer_32k |
| |
|
| | This tokenizer 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/) |
| |
|
| | <strong>omarmomen/babylm_tokenizer_32k</strong> is a RobertaTokenizer that is pretrained on the BabyLM 10M dataset (cased) with 32K tokens. |
| |
|
| | https://arxiv.org/abs/2310.20589 |
