Update README.md

README.md

@@ -27,9 +27,7 @@ The model has been trained using an efficient few-shot learning technique that i
 
 ## Model Details
 
-Das Modell wurde auf der Basis weniger Trainungsdaten für die Klassifizierung von [technischen Future Skills](https://www.stifterverband.org/future-skills) aus dem Future Skill Framework des Stifterverbandes trainiert.
-
-
+The model was trained on the basis of a small amount of training data for the classification of [technical future skills](https://www.stifterverband.org/future-skills) from the Future Skill Framework of the Stifterverband. Eight sentences per future skill were created for the few-shot classification, each using the sentence ‘The event deals with topic X’, where X is replaced by the name and short descriptions of the skills.
 ### Model Description
 - **Model Type:** SetFit
 - **Sentence Transformer body:** [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2)