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# PyLaia Rimes
## Datasets
Trained on text-lines from the [Rimes 2011 dataset](https://teklia.com/research/rimes-database/).
| split | N lines |
|--------|--------:|
| train | 10,188 |
| val | 1,138 |
| test | 778 |
## Results
* Fixed line height: 128 pixels
* Language model: 6-gram character model trained on the training set with KenLM
| Model | val CER | test CER | val WER | test WER |
|:--------------------------------|--------:|---------:|--------:|---------:|
| Model without LM | 4.55 | 4.53 | 14.39 | 15.06 |
| Model with LM (`weight = 1.5`) | 3.68 | 3.47 | 10.01 | 10.20 |
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