Syntax-based Attention Model for Natural Language Inference
Table 1: Hyper-parameters for our model on SNLI.
['Hyper-parameters', 'SNLI']
S4SS1SSS0Px3 Hyperparameters 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 [0.05,0.0005,0.0001], l2 regularization [0.0,5E−5,1E−5,1E−6] and the threshold value of gradient norm ρ [5, 10, 50].