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README.md
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The model was trained using the PyLaia library on two medieval datasets:
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* [Himanis](https://demo.arkindex.org/browse/5000e248-a624-4df1-8679-1b34679817ef?top_level=true&folder=true) (French)
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* [HOME
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For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
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## Evaluation results
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| set | Language model | CER (%) | WER (%) | N lines |
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|:------|:---------------| ----------:| -------:|----------:|
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The model was trained using the PyLaia library on two medieval datasets:
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* [Himanis](https://demo.arkindex.org/browse/5000e248-a624-4df1-8679-1b34679817ef?top_level=true&folder=true) (French)
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* [HOME-Alcar](https://demo.arkindex.org/browse/46b9b1f4-baeb-4342-a501-e2f15472a276?top_level=true&folder=true) (Latin)
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For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
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## Evaluation results
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On HOME-Alcar text lines, the model achieves the following results:
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| set | Language model | CER (%) | WER (%) | N lines |
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|:------|:---------------| ----------:| -------:|----------:|
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