Update README.md

README.md

@@ -1,3 +1,21 @@
----
-license: mit
----
+---
+license: mit
+language:
+- en
+base_model:
+- cardiffnlp/tweet-topic-21-multi
+pipeline_tag: text-classification
+---
+# Target-Group Classifier
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+The RoBERTa-based target-demographic 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 [cardiffnlp/tweet-topic-21-multi](https://huggingface.co/cardiffnlp/tweet-topic-21-multi)
+
+Currently trained for the following classes:
+["MIGRANTS", "POC", "LGBT+", "MUSLIMS", "WOMEN", "JEWS", "other", "DISABLED"]
+
+## 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 relevancy to the given input sequence.