Pre-train BERT-base with Hugging Face on Habana Gaudi via AWS DL1

AI Impact Summary

The tutorial demonstrates end-to-end pretraining of BERT-base from scratch on Habana Gaudi hardware (DL1) using the Hugging Face Transformers ecosystem, targeting cost-per-token improvements on AWS. It walks through dataset assembly from BookCorpus and Wikipedia, tokenizer training, and preprocessing, leveraging Optimum Habana and the Hugging Face Hub for artifact sharing, with the actual MLM training conducted via the rm-runner Remote Runner. The guidance notes that CPU-heavy steps can run on non-Gaudi instances, outlining a practical deployment path for teams evaluating in-house pretraining at scale.