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--- |
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license: mit |
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language: |
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- en |
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base_model: |
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- ThinkCERCA/counterargument_hugging |
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pipeline_tag: text-classification |
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--- |
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# Target-Group Classifier |
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<!-- Provide a quick summary of what the model is/does. --> |
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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) |
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It classifies either a given sentence is a valid counter-narrative. |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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The model is intended for classifying LM-generated dialogue responses, and evaluating their validity as counter-narrative. |
