This model is a fine-tuned version of Leonard Konle's
fiction-gbert.
It was fine-tuned for ten epochs on the
Deutscher Roman Korpus (DROC) on literary character detection using a standard token-classification head.
However, in deviation from most other models, this model detects named entities and nouns (matching both "Harry" and "Zauberer") referencing a character.
The model achieves a 92.12 / 89.98 % F1 score on the semi-official DROC validation and test sets.
The code to reproduce the dataset and training can be accessed via
Github1{
20: "O",
31: "B-PER",
42: "I-Per"
5}
