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license: mit |
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language: |
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- nl |
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--- |
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# hmByT5 - Preliminary Language Models |
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Preliminary Historic Multilingual and Monolingual ByT5 Models. Following languages are currently covered: |
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* Dutch (Delpher Corpus) |
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More details can be found in [our GitHub repository](https://github.com/stefan-it/hmByT5). |
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# Pretraining |
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We use the official JAX/FLAX example in Hugging Face Transformers to pretrain a ByT5 model on a single v3-8 TPU. |
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Details about the training can be found [here](https://github.com/stefan-it/hmByT5/tree/main/hmbyt5-flax). |
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This model was trained with `mean_noise_span_length=20`. |
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# Evaluation on Downstream Tasks (NER) |
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We evaluated the hmByT5 model on ICDAR Europeana dataset: |
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| Configuration | Run 1 | Run 2 | Run 3 | Run 4 | Run 5 | Avg. | |
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|------------------------------------------|-------|-------|-------|-------|-------|--------------| |
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| `wsFalse-bs4-e10-lr0.00015-poolingfirst` | 86.61 | 85.88 | 87.65 | 87.93 | 88.01 | 87.22 ± 0.83 | |
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| `wsFalse-bs8-e10-lr0.00015-poolingfirst` | 87.88 | 87.56 | 85.62 | 86.52 | 87.03 | 86.92 ± 0.8 | |
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| `wsFalse-bs4-e10-lr0.00016-poolingfirst` | 86.17 | 85.87 | 87.77 | 86.58 | 87.96 | 86.87 ± 0.85 | |
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| `wsFalse-bs8-e10-lr0.00016-poolingfirst` | 87.67 | 86.02 | 85.66 | 87 | 85.99 | 86.47 ± 0.75 | |
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The results show no performance improvement of the [model](https://huggingface.co/hmbyt5/byt5-small-historic-dutch) |
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trained with `mean_noise_span_length=3`, that achieved 87.90 ± 0.71. |
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# Acknowledgements |
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Research supported with Cloud TPUs from Google's [TPU Research Cloud](https://sites.research.google/trc/about/) (TRC). |
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Many Thanks for providing access to the TPUs ❤️ |
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