yngvil.beyer · PyLaia · Published October 9, 2024

SamiskOCR_smi_smipred

Text Recognition

Description

This model is the print M1 base model (model-id 39995) fine-tuned on manually annotated and automatically transcribed Sámi data

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Very low error rate1.46% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 1.46% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material. This is a larger model trained on diverse material, which generally makes it more robust across different handwriting styles. That said, larger training sets also make it harder to push the CER down further.

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.

Words462,337
Lines90,605
Training Pages2,431
Model ID192137
Languages
Sami Languages