Update README.md

README.md

@@ -20,19 +20,21 @@ It achieves the following results on the evaluation set:
 - Loss: 0.1386
 - F1: 0.8627
 
-## Model description
+### Intended uses & limitations
 
-More information needed
+This model is intended for use in applications requiring named entity recognition in the German language. Example use cases include:
 
-## Intended uses & limitations
+- Automated information extraction from German text sources.
+- Enhancing search engines with entity-aware search capabilities.
+- Assisting in document organization and tagging in multilingual contexts.
 
-More information needed
+**Limitations**:
+- The model is fine-tuned only on German data from the WikiANN dataset. Its performance on other languages or domains may not be as high.
+- It may not perform well on informal or highly specialized text without further fine-tuning.
 
 ## Training and evaluation data
 
-More information needed
-
-## Training procedure
+The model was fine-tuned on the German subset of the WikiANN (PAN-X) dataset. This dataset is part of the XTREME benchmark and provides annotated named entities in multiple languages, making it suitable for training cross-lingual NER models.
 
 ### Training hyperparameters