Deep Multi-Task Learning with Shared Memory
Table 2: Hyper-parameters of our models.
['[EMPTY]', 'Movie Reviews', 'Product Reviews']
For each task, we take the hyperparameters which achieve the best performance on the development set via an small grid search over combinations of the initial learning rate [0.1,0.01], l2 regularization [0.0,5E−5,1E−5]. For datasets without development set, we use 10-fold cross-validation (CV) instead.