| --- |
| language: |
| - de |
| datasets: |
| - lattice-nlp/DROC |
| license: |
| - cc-by-nc-sa-4.0 |
| base_model: |
| - LSX-UniWue/ModernGBERT_1B |
| base_model_relation: finetune |
| tags: |
| - NER |
| - token-classification |
| - named-entity-recognition |
| - digital-humanities |
| model-index: |
| - name: lattice-nlp/NER_DROC_ModernGBERT_1B |
| results: |
| - task: |
| type: token-classification |
| name: Named Entity Recognition |
| dataset: |
| name: DROC |
| type: DROC |
| split: test |
| metrics: |
| - name: Micro Precision |
| type: precision |
| value: 0.9632986955560469 |
| verified: true |
| - name: Micro Recall |
| type: recall |
| value: 0.9697306921878478 |
| verified: true |
| - name: Micro F1 |
| type: f1 |
| value: 0.9665039929015085 |
| verified: true |
|
|
| --- |
| # lattice-nlp/NER_DROC_ModernGBERT_1B |
| |
| ## Model description |
| |
| **NER_DROC_ModernGBERT_1B** is a fine-tuned version of [LSX-UniWue/ModernGBERT_1B](https://huggingface.co/LSX-UniWue/ModernGBERT_1B). |
| |
| |
| It is trained for **Named Entity Recognition (NER)** on German literary texts using the [**DROC dataset**](https://huggingface.co/datasets/lattice-nlp/DROC). |
| The model performs **span-based entity extraction**, predicting entity spans directly rather than BIO token tags. |
| |
| ## Intended use |
| |
| This model is intended for: |
| |
| - Named Entity Recognition in literary texts |
| - Digital humanities research (literary character analysis) |
| - Information extraction from historical novels |
| |
| ## Performance |
| |
| Performance is evaluated using exact span matching, on 8 held-out documents. |
| |
| | Label | Precision | Recall | F1 | TP | FP | FN | Support | Support_% | |
| |:-------:|:-----------:|:--------:|:------:|:----:|:----:|:----:|:---------:|:-----------:| |
| | PER | 0.9633 | 0.9697 | 0.9665 | 4357 | 166 | 136 | 4493 | 100.0 | |
| | MICRO | 0.9633 | 0.9697 | 0.9665 | - | - | - | 4493 | 100.0 | |
| | MACRO | - | - | 0.9665 | - | - | - | - | - | |
|
|
