---
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 | Run 2 | Run 3 | Run 4 | Run 5 | Avg.         |
|------------------------------------------|-------|-------|-------|-------|-------|--------------|
| `wsFalse-bs4-e10-lr0.00015-poolingfirst` | 88.02 | 88.71 | 87.17 | 87    | 88.62 | 87.9 ± 0.71  |
| `wsFalse-bs8-e10-lr0.00015-poolingfirst` | 87.1  | 86.72 | 87.15 | 88.29 | 87.35 | 87.32 ± 0.53 |
| `wsFalse-bs8-e10-lr0.00016-poolingfirst` | 87.23 | 87.19 | 87.11 | 87.62 | 87.11 | 87.25 ± 0.19 |
| `wsFalse-bs4-e10-lr0.00016-poolingfirst` | 85.98 | 87.5  | 84.22 | 87.08 | 86.48 | 86.25 ± 1.14 |

# 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 ❤️