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README.md

@@ -7,6 +7,7 @@ This is a fine-tuned Deberta model to detect human values in arguments.
 The model is part of the ensemble that was the best-performing system in the SemEval2023 task: [Detecting Human Values in arguments](https://touche.webis.de/semeval23/touche23-web/index.html)
 It was trained and tested on a dataset of 9324 annotated [arguments](https://zenodo.org/record/7550385#.ZEPzcfzP330). 
 The whole ensemble system achieved a F1-Score of 0.56 in the competiton. This model achieves a F1-Score of 0.55. 
+Code for retraining the ensemble is accessible in this [repo](https://github.com/danielschroter/human_value_detector)
 
 ## Model Usage