train.optimizer.lr:
type: cate
choices: [0.001, 0.005, 0.01, 0.05, 0.1]
train.optimizer.weight_decay:
choices: [ 0, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1 ]
model.dropout:
choices: [0, 0.1, 0.2, 0.3, 0.4, 0.5]