hmbyt5-preliminary/byt5-small-historic-multilingual-flax

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.

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.

The model was trained for 0.5 epoch.

Evaluation on Downstream Tasks (NER)

We evaluated the hmByT5 model on downstream tasks:

Model	English AjMC	German AjMC	French AjMC	Finnish NewsEye	Swedish NewsEye	Dutch ICDAR	French ICDAR	Avg.
hmbyt5-preliminary/byt5-small-historic-multilingual-flax	83.28 ± 1.67	86.98 ± 0.71	83.49 ± 1.06	76.96 ± 1.58	78.80 ± 1.89	86.47 ± 0.79	77.43 ± 0.51

Acknowledgements

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