HuggingFaceTB

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cosmo-1b

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We used an internal wrapper around nanotron library https://github.com/huggingface/nanotron/ you can adapt this script https://github.com/loubnabnl/nanotron-smol-cluster/blob/main/brrr/cosmopedia/cosmo_1b.yaml

Hi @loubnabnl , thanks for pointing the yaml file. I have two questions regarding the data preprocessing part.

1. Cosmopedia data was in prompt-text format. For pretraining, do you simply concatenate prompt and text together to form a document?
2. I noticed the datasets in the yaml file have different folder names, tokenized_text_document, tokenized_completion_document, tokenized_train_prompt_document, tokenized_script_document. Does this mean different data preparation methods were used for different subsets?

Thanks a lot!

• we only train on text column, the prompts are not used
• no we didn't do any post-processing, this is only because the target columns had different names at the time, but they were all renamed to text incosmopedia

Thanks @loubnabnl