z-dickson
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US_politicians_covid_skepticism

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generated_from_keras_callback

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z-dickson commited on Jan 6, 2024

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@@ -13,7 +13,7 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [vinai/bertweet-covid19-base-uncased](https://huggingface.co/vinai/bertweet-covid19-base-uncased) on a dataset of 10k tweets about COVID-19 policies from US legislators in the House and Senate.
-The model is intended to identify skepticism of COVID-19 policies (i.e. masks, social distancing, lockdowns, vaccines etc.). The model classifies as 0 (expressing skepticism/opposition to a COVID-19 policy or 1 (no opposition)
 It's a pretty simple task but I used a grid search to optimize hyperparameters. The final model is achieves the following results and uses the following hyperparamters:

 This model is a fine-tuned version of [vinai/bertweet-covid19-base-uncased](https://huggingface.co/vinai/bertweet-covid19-base-uncased) on a dataset of 10k tweets about COVID-19 policies from US legislators in the House and Senate.
+The model is intended to identify skepticism (label == 1) of COVID-19 policies (i.e. masks, social distancing, lockdowns, vaccines etc.).
 It's a pretty simple task but I used a grid search to optimize hyperparameters. The final model is achieves the following results and uses the following hyperparamters: