Early stopping with a patience of 10 is adopted to terminate training based on the accuracy of the validation set.
following the best models on each dataset, the parameters are tuned to optimize WA on the validation set of IEMOCAP and to optimize UWA on the validation set of Friends and Emo-tionPush, respectively.