hmbyt5-preliminary/byt5-small-multilingual-4g-2e

hmByT5 - Preliminary Language Models

Preliminary Historic Multilingual and Monolingual ByT5 Models. Following languages are currently covered:

• —English (British Library Corpus - Books)
• —German (Europeana Newspaper)
• —French (Europeana Newspaper)
• —Finnish (Europeana Newspaper)
• —Swedish (Europeana Newspaper)
• —Dutch (Delpher Corpus)

More details can be found in our GitHub repository.

In this experiment we sample 4B bytes (~4GB of text) from each corpora (and upsample Swedish and Finnish) and train for another epoch (2 epochs in total).

Pretraining

We use the official JAX/FLAX example in Hugging Face Transformers to pretrain a ByT5 model on a single v3-8 TPU. Details about the training can be found here.

Evaluation on Downstream Tasks (NER)

We evaluated the hmByT5 model on downstream tasks:

Acknowledgements

Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC). Many Thanks for providing access to the TPUs ❤️