trocr-kurrent / README.md
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license: mit
language:
  - de
metrics:
  - cer
library_name: transformers
tags:
  - kurrent
  - ocr
  - htr
  - 19th century

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.