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README.md

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 # US_politicians_covid_skepticism
 
-This model is a fine-tuned version of [vinai/bertweet-covid19-base-uncased](https://huggingface.co/vinai/bertweet-covid19-base-uncased) on an unknown dataset.
+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 20,000 handcoded tweets about COVID-19 policies sent by US legislators. The model is trained to identify tweets that are either in support of covid policies (masks, social distancing, lockdowns, vaccine mandates) or are opposed to such policies. Before training the model, all URLs and @Usernames were removed from the tweets. Accuracy is very high (probably) because US legislators tweet a lot of the same messages and retweet each other often. The model is uncased. 
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 It achieves the following results on the evaluation set:
 - Train Loss: 0.0141
 - Train Sparse Categorical Accuracy: 0.9968