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.
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 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 (TRC). Many Thanks for providing access to the TPUs ❤️
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