This model works well with Finnish print from 18th century to midth of 20th century. For standard text in newspapers from that time error rates much below 1% were measured.
The model was created in the NewsEye project and is based on training data coming from the National Library Finland (NLF). 746500 words have been trained for this model and the CER on the validation set is 0.61%.
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