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byt5-base-historic-english-span20
hmbyt5/byt5-base-historic-english-span20
byt5-base-historic-english-span20 is a machine learning model from hmbyt5. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
Preliminary Historic Multilingual and Monolingual ByT5 Models. Following languages are currently covered:
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- May 9, 2023
- Updated
- Jun 28, 2025
- SHA
- f7d4a644
Model card
From the Hugging Face model README
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.
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.
This model was trained with mean_noise_span_length=20.
Evaluation on Downstream Tasks (NER)
We evaluated the hmByT5 Base model on English AjMC dataset:
| Configuration | Run 1 | Run 2 | Run 3 | Run 4 | Run 5 | Avg. |
|---|---|---|---|---|---|---|
wsFalse-bs8-e10-lr0.00015-poolingfirst | 86.51 | 87.2 | 86.22 | 85.78 | 86.46 | 86.43 ± 0.46 |
wsFalse-bs4-e10-lr0.00016-poolingfirst | 86.12 | 87.04 | 87.01 | 85.25 | 86.74 | 86.43 ± 0.68 |
wsFalse-bs8-e10-lr0.00016-poolingfirst | 86.49 | 85.27 | 86.12 | 86.29 | 85.61 | 85.96 ± 0.45 |
wsFalse-bs4-e10-lr0.00015-poolingfirst | 86.33 | 86.05 | 84.48 | 85.68 | 86.16 | 85.74 ± 0.67 |
The ByT5 Small model achieves 85.65 ± 1.21 on this dataset.
Acknowledgements
Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC). Many Thanks for providing access to the TPUs ❤️
- Library
- transformers
- Type
- t5
- License
- mit
- Languages
- en
- Created
- May 9, 2023
- Updated
- Jun 28, 2025