Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+language:
+- en
+base_model:
+- ThinkCERCA/counterargument_hugging
+pipeline_tag: text-classification
+---
+# Target-Group Classifier
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+The BERT-based counter-argument classifier is finetuned on the combined dataset of [CONAN](https://github.com/marcoguerini/CONAN) and [CrowdCounter](https://github.com/hate-alert/crowdcounter) for classifying whether a sequence is about one or multiple of the 8 target group, based on the sexism detector [ThinkCERCA/counterargument_hugging](https://huggingface.co/ThinkCERCA/counterargument_hugging)
+
+It classifies either a given sentence is a valid counter-narrative.
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+The model is intended for classifying LM-generated dialogue responses, and evaluating their validity as counter-narrative.