---
license: mit
language:
- de
metrics:
- cer
library_name: transformers
tags:
- trocr
- kurrent
- ocr
- htr
- 19th century
base_model:
- microsoft/trocr-base-handwritten
pipeline_tag: image-text-to-text
---
# TrOCR Kurrent-Model 19th century
Handwritten Text Recognition model for 19th century German.

Part of the developments at the [Digital Humanities@University of Bern](https://www.dh.unibe.ch/).
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.