dh-unibe/trocr-kurrent

TrOCR Kurrent-Model 19th century

Handwritten Text Recognition model for 19th century German.

Part of the developments at the Digital Humanities@University of Bern. Developed by Jonas Widmer and Tobias Hodel in conjunction with researchers and institutions mentioned below.

Base model: microsoft/trocr-base-handwritten

Train Lines: 292'997
Eval Lines: 7'513
Test Lines: 15'817

Epochs: 19.66 / 20
Eval CER: 0.02827
Test CER: 0.02655

Finetuned on Kurrent-dataset, containing:

• Material from the State Archives of Zurich ("Regierungsratsprotokolle"), provided by the State Archives of Zurich
• Lecture notes of Humboldt Lectures, provided by the Berlin-Brandenburgian Academy of Sciences
• Diary of Eugen Huber, provided by the University of Zurich
• Handwriting and Copies by and of Gottfried Semper (provided by the respective research project at ETH Zürich and USI Mendrisio)
• Konzilsprotokolle, University of Greifswald (19th century)
• as well as many other smaller collections/examples

The model has not been extensively tested. Potential biases are still to be identified.