Update README.md

README.md

@@ -3,12 +3,17 @@ license: mit
 language:
 - de
 pipeline_tag: text-classification
+metrics:
+- f1
+library_name: transformers
 ---
 
 # PopBERT
 
-inital commit
+PopBERT is a model for German-language populism detection in political speeches within the German Bundestag, based on the deepset/gbert-large model: https://huggingface.co/deepset/gbert-large
 
+It is a multilabel model trained on a manually curated dataset of sentences from the 18th and 19th legislative periods.
+In addition to capturing the foundational dimensions of populism, namely "anti-elitism" and "people-centrism," the model was also fine-tuned to identify the underlying ideological orientation as either "left-wing" or "right-wing."
 
 # Prediction
 
@@ -40,4 +45,4 @@ depicted here.
 | Right-Wing Ideology | 0.654 (0.029) | 0.698 (0.050) | 0.674 (0.031) |
 | ---                 | ---           | ---           | ---           |
 | micro avg           | 0.732 (0.009) | 0.805 (0.006) | 0.767 (0.007) |
-| macro avg           | 0.700 (0.011) | 0.770 (0.010) | 0.733 (0.010) |
+| macro avg           | 0.700 (0.011) | 0.770 (0.010) | 0.733 (0.010) |