Leveraging Adversarial Training in Self-Learningfor Cross-Lingual Text Classification
Table 2. Hyper-parameters for our framework.
['Parameter', 'MLDoc', 'CLIC']
Model Details. We tune the hyper-parameters for our neural network architecture based on each non-English validation set. We rely on early stopping as a termination criterion, specifically, when the performance on the validation set stops improving in 2 self-learning iterations.