Pasa model optimization

Note

The Pasa model contains 201’905 parameters.

Model hyperparameters from the original study were used: batch size of 4, learning rate 8e-5 and the default Adam optimizer parameters: beta_1=0.9, beta_2=0.999, epsilon = 1e-8. The Pasa model has not been pretrained.

Thresholds selection

The threshold was systematically selected on the validation set of the datasets on which the model was trained.

• Threshold for Pasa trained on MC: 0.577

• Threshold for Pasa trained on MC-CH: 0.417

• Threshold for Pasa trained on MC-CH-IN: 0.235