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byt5-small-multilingual-4g-2e
hmbyt5-preliminary/byt5-small-multilingual-4g-2e
byt5-small-multilingual-4g-2e is a machine learning model from hmbyt5-preliminary. 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
- Apr 12, 2023
- Updated
- Nov 13, 2024
- SHA
- 8417af2c
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)
- 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 (2 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-2e | 83.86 ± 0.61 | 87.54 ± 0.19 | 84.29 ± 0.41 |
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, de, fr, fi, sv, nl
- Created
- Apr 12, 2023
- Updated
- Nov 13, 2024