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 (3 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:
| Model | English AjMC | German AjMC | French AjMC | Finnish NewsEye | Swedish NewsEye | Dutch ICDAR | French ICDAR | Avg. |
|---|---|---|---|---|---|---|---|---|
hmbyt5-preliminary/byt5-small-multilingual-4g-3e |
83.49 ± 0.99 | 87.38 ± 0.53 | 84.30 ± 0.51 |
Acknowledgements
Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC). Many Thanks for providing access to the TPUs ❤️
