ModernGBERT DROC Mention Tagger
This model is a sequence tagger and a fine-tuned version of LSX-UniWue/ModernGBERT_134M on the DROC coreference dataset 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
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LSX-UniWue/ModernGBERT_134M