z-dickson
/

US_politicians_covid_skepticism

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generated_from_keras_callback

Inference Endpoints

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z-dickson commited on Jan 6, 2024

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@@ -19,12 +19,12 @@ The model is intended to identify skepticism of COVID-19 policies (i.e. masks, s
 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:
-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

 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:
+## 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