Interpretable Neural Predictions with Differentiable Binary Variables
Table 4: Beer hyperparameters.
['Optimizer', 'Adam']
Our hyperparameters are taken from Lei et al. The pre-trained word embeddings and data sets are available online at http://people.csail.mit.edu/taolei/beer/. We train for 100 epochs and select the best models based on validation loss. For the MSE trade-off experiments on all aspects combined, we train for a maximum of 50 epochs.