Transkribus · PyLaia · Published September 27, 2020
EvenkiRussian-RychkovArchive-PyLaia-NoAcute-NoBM-233p
Text Recognition
Description
Bilingual manuscripts by Konstantin Rychkov, 1910s.
Parallel Evenki and Russian texts.
Cyrillic with extensions.
Folder 5 pp. 001-233.
No Base Model. Validation set 18 p. 102 epochs.
No acute accent.
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Very low error rate2.6% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 2.6% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material.
Measured on the model's own validation data. Results on your documents may differ depending on handwriting style, document condition, language, and how closely your material resembles the training data.
Words40,561
Lines9,968
Training Pages215
Model ID26313