| --- |
| library_name: transformers |
| license: cc0-1.0 |
| base_model: LSX-UniWue/ModernGBERT_134M |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| --- |
| |
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| # ModernGBERT DROC Mention Tagger |
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| 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](): |
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|
| - Loss: 0.0334 |
| - Precision: 0.9577 |
| - Recall: 0.9665 |
| - F1: 0.9620 |
| - Accuracy: 0.9907 |
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