Update model card with evaluation results from goldset from ner_disorderfinding_de_goldset

README.md

@@ -198,26 +198,26 @@ IO evaluation (sklearn, token level, lenient) with the following results:
 
 | Metric | Score |
 |--------|-------|
-| Precision (Macro) | 0.427869 |
-| Recall (Macro) | 0.469218 |
-| F1-Score (Macro) | 0.437512 |
-| Precision (Weighted) | 0.601791 |
-| Recall (Weighted) | 0.699913 |
-| F1-Score (Weighted) | 0.642179 |
+| Precision (Macro) | 0.423825 |
+| Recall (Macro) | 0.467183 |
+| F1-Score (Macro) | 0.435170 |
+| Precision (Weighted) | 0.599471 |
+| Recall (Weighted) | 0.697989 |
+| F1-Score (Weighted) | 0.640426 |
 
-**Inference Performance**: 10.23 seconds for evaluation dataset
+**Inference Performance**: 5.69 seconds for evaluation dataset
 
 ### Entity-Level Performance (IO Evaluation)
 
 | Entity Type | Precision | Recall | F1-Score | Support |
 |-------------|-----------|--------|----------|---------|
-| DISORDER_FINDING | 0.754340 | 0.902259 | 0.821696 | N/A |
+| DISORDER_FINDING | 0.753533 | 0.900434 | 0.820460 | N/A |
 
 ### Evaluation Details
 
 - **Dataset**: goldset from ner_disorderfinding_de_goldset
 - **Dataset Source**: goldset
-- **Evaluation Date**: 2025-10-21 12:38:09
+- **Evaluation Date**: 2025-10-24 07:53:32
 - **Language**: de
 - **Entities**: DISORDER_FINDING