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README.md

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+Bert-base-german-cased finetuned on the Valence level of the GLoHBCD Dataset (https://github.com/SelinaMeyer/GLoHBCD). 
+The dataset leverages Motivational Interviewing client behaviour codes to evaluate user utterances across different dimensions and gauge user's stance and thoughts about behaviour change in the context of weight loss. 
+
+This model classifies German text around behaviour change as either "Change Talk" (utterances in favour of change, 1) or "Sustain Talk" (utterances in favour of the status quo, 0). 
+
+When using the model, please cite:
+
+    @InProceedings{meyer-elsweiler:2022:LREC,
+    author    = {Meyer, Selina  and  Elsweiler, David},
+    title     = {GLoHBCD: A Naturalistic German Dataset for Language of Health Behaviour Change on Online Support Forums},
+    booktitle      = {Proceedings of the Language Resources and Evaluation Conference},
+    month          = {June},
+    year           = {2022},
+    address        = {Marseille, France},
+    publisher      = {European Language Resources Association},
+    pages     = {2226--2235},
+    url       = {https://aclanthology.org/2022.lrec-1.239}}