This model is a fine-tuned version of
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.).
It's a pretty simple task but I used a grid search to optimize hyperparameters. The model uses the following hyperparamters:
