---
library_name: transformers
license: cc0-1.0
base_model: LSX-UniWue/ModernGBERT_134M
metrics:
- precision
- recall
- f1
- accuracy
---


# ModernGBERT DROC Mention Tagger

This model is a sequence tagger and a fine-tuned version of [LSX-UniWue/ModernGBERT\_134M](https://huggingface.co/LSX-UniWue/ModernGBERT_134M) on the [DROC coreference dataset](https://gitlab.informatik.uni-wuerzburg.de/kallimachos/DROC-Release/-/tree/master/droc?ref_type=heads) to annotate mentions of characters in literary text. Training and testing was performed on 1024 token windows.
It achieves the following results on the evaluation document *Die Wahlverwandtschaften*, annotated in the context of the [GerFuN corpus]():

- Loss: 0.0334
- Precision: 0.9577
- Recall: 0.9665
- F1: 0.9620
- Accuracy: 0.9907