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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.). 



It's a pretty simple task but I used a grid search to optimize hyperparameters. The model uses the following hyperparamters: 

**Optimized Hyperparameters**
- The best learning rate is: 9.928559980965476e-06
- The best weight decay is: 0.003083325125091835
- The best epoch is : 5
- The best train split is : 0.2864649363822965





{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "US_politicians_covid_skepticism", "results": []}]}
transformers pytorch tf safetensors bert text-classification generated_from_keras_callback autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #safetensors #bert #text-classification #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #region-us 






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: 

Optimized Hyperparameters
- The best learning rate is: 9.928559980965476e-06
- The best weight decay is: 0.003083325125091835
- The best epoch is : 5
- The best train split is : 0.2864649363822965





TAGS
#transformers #pytorch #tf #safetensors #bert #text-classification #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #tf #safetensors #bert #text-classification #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #region-us 
