# Model Card for German Hate Speech Classifier

## Model Details

### Introduction

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).

### Dataset

The dataset used for training is a consolidation of three pre-existing German hate speech datasets:

- **RP (Assenmacher et al., 2021)**
- **DeTox (Demus et al., 2022)**
- **Twitter dataset (Glasenbach, 2022)**

The combined dataset underwent cleaning to minimize biases and remove redundant data.

## Performance

Our experiments delivered promising results, with the model reliably classifying comments into:

- **No Hate Speech**
- **Political Hate Speech**
- **Racist Hate Speech**
- **Sexist Hate Speech**

The model achieved a macro F1-score of 0.775.