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amandakonet
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Update app.py
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app.py
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@@ -104,8 +104,8 @@ st.markdown("**Problem**π€: Climate change misinformation spreads quickly and
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st.markdown("**Solution**π‘: Develop a pipeline in which users can input climate change claims... and the pipeline returns whether the claim is refuted or supported by current climate science, along with the corresponding evidence.")
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st.markdown("**Approach**π:")
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st.markdown("* There are many steps to this pipeline. Here, I focus on fine-tuning a transformer model, ClimateBERT, using the textual entailment task.")
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st.markdown("* The dataset used is Climate FEVER, a natural language inference dataset with 1,535 {claim, [evidence], [label]} tuples")
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st.markdown("* Given a {claim, evidence} pair, determine whether the climate claim is supported or refuted (or neither) by the evidence")
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st.markdown("---")
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st.markdown("**Solution**π‘: Develop a pipeline in which users can input climate change claims... and the pipeline returns whether the claim is refuted or supported by current climate science, along with the corresponding evidence.")
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st.markdown("**Approach**π:")
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st.markdown("* There are many steps to this pipeline. Here, I focus on fine-tuning a transformer model, ClimateBERT, using the textual entailment task.")
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st.markdown("* Given a {claim, evidence} pair, determine whether the climate claim is supported or refuted (or neither) by the evidence")
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st.markdown("* The dataset used is Climate FEVER, a natural language inference dataset with 1,535 {claim, [evidence], [label]} tuples")
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st.markdown("---")
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