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---
language: de
license: cc-by-nc-sa-4.0
---
## jobGBERT
This is a domain-adapted transformer-based language model for German-speaking job advertisements.
Is is based on [deepset/gbert-base](https://huggingface.co/deepset/gbert-base), and adapted to the domain of job advertisements trough continued in-domain pretraining on 4 million German-speaking job ads from Switzerland 1990-2020 (5.9 GB data).
### Overview
**Architecture:** BERT base <br>
**Language:** German <br>
**Domain:** Job advertisements <br>
**See also:** [agne/jobBERT-de](https://huggingface.co/agne/jobBERT-de)
### License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (cc-by-nc-sa-4.0)
Please use the following citation when using our model:
```bibtex
@inproceedings{
title = “Evaluation of Transfer Learning and Domain Adaptation for Analyzing German-Speaking Job Advertisements”,
author = “Gnehm, Ann-Sophie and
Bühlmann, Eva and
Clematide, Simon”,
booktitle = “Proceedings of the 13th Language Resources and Evaluation Conference”,
month = june,
year = “2022",
address = “Marseille, France”,
publisher = “European Language Resources Association”,
}
```
### Intended usage and limitations
You can use the model for masked language modeling, but it's intended to be fine-tuned on a downstream task.
The model is trained on German-Speaking job ads from Switzerland. It inherits potential bias of its base model, and may contain biases and stereotypes common in job advertisements.
### About us
Ann-Sophie Gnehm: `gnehm [at] soziologie.uzh.ch` <br>
Eva Bühlmann: `bühlmann [at] soziologie.uzh.ch` <br>
Simon Clematide: `simon.clematide [at] cl.uzh.ch` <br>
The [Swiss Job Market Monitor](https://www.stellenmarktmonitor.uzh.ch/en.html) aims at systematically expanding scientific knowledge about the job market and improving labour market transparency by informing the general public about current developments on the job market.
**Get in touch:** [Mail](mailto:gnehm@soziologie.uzh.ch) [Website](https://www.stellenmarktmonitor.uzh.ch/en.html) [Zenodo](https://doi.org/10.5281/zenodo.6497853) [SWISSUbase](https://www.swissubase.ch/de/catalogue/studies/11998/18157/overview)
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