Downloads · 30 days
31
0% of all-time downloads
chrisrtt/gbert-multi-class-german-hate
gbert-multi-class-german-hate is a text classification model from chrisrtt. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model was developed to explore the potential of German language models in multi-class classification of hate speech in German online journals. It is a fine-tuned version of the GBERT model from (Chan, Schweter, a…
Downloads · 30 days
31
0% of all-time downloads
All-time downloads
8.2K
Public
Parameters
110M
880 MB on disk
Likes
3
Public
Click a slice to open those files.
.bin440 MB · 50%
How the weights are stored.
F32110M · 100%
From the Hugging Face model README
This model was developed to explore the potential of German language models in multi-class classification of hate speech in German online journals. It is a fine-tuned version of the GBERT model from (Chan, Schweter, and Möller, 2020).
The dataset used for training is a consolidation of three pre-existing German hate speech datasets:
The combined dataset underwent cleaning to minimize biases and remove redundant data.
Our experiments delivered promising results, with the model reliably classifying comments into:
The model achieved a macro F1-score of 0.775. However, to further reduce misclassifications, improvements are essential. Short comments are overproportionally classified as Sexist Hate Speech.