---
license: mit
language:
- nl
---

# hmByT5 - Preliminary Language Models

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

* Dutch (Delpher Corpus)

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 ICDAR Europeana dataset:

| Configuration                            | Run 1 | Avg.        |
|------------------------------------------|-------|-------------|
| `wsFalse-bs4-e10-lr0.00015-poolingfirst` | 87.63 | 87.63 ± 0.0 |
| `wsFalse-bs8-e10-lr0.00016-poolingfirst` | 87.35 | 87.35 ± 0.0 |
| `wsFalse-bs8-e10-lr0.00015-poolingfirst` | 87.26 | 87.26 ± 0.0 |
| `wsFalse-bs4-e10-lr0.00016-poolingfirst` | 86.31 | 86.31 ± 0.0 |

We only performed fine-tuning for one epoch. Unfortunately, this ByT5 Base model shows no improvement over ByT5 Small architecture.

# 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 ❤️