| license: mit | |
| language: | |
| - en | |
| # hmByT5 - Preliminary Language Models | |
| Preliminary Historic Multilingual and Monolingual ByT5 Models. Following languages are currently covered: | |
| * English (British Library Corpus - Books) | |
| More details can be found in [our GitHub repository](https://github.com/stefan-it/hmByT5). | |
| # 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](https://github.com/stefan-it/hmByT5/tree/main/hmbyt5-flax). | |
| # 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/byt5-small-english`](https://huggingface.co/hmbyt5/byt5-small-english) | 85.65 ± 1.21 | 87.27 ± 0.50 | 84.44 ± 0.79 | | | | | | | |
| # Acknowledgements | |
| Research supported with Cloud TPUs from Google's [TPU Research Cloud](https://sites.research.google/trc/about/) (TRC). | |
| Many Thanks for providing access to the TPUs ❤️ | |