Neural Machine Translation with Latent Semantic of Image and Text
Table 3: Hyperparameters using the experiments in the Figure 9 and 9
['[EMPTY]', '[ITALIC] dim', '[ITALIC] dim_word', '[ITALIC] lr', '[ITALIC] decay-c', '[ITALIC] maxlen', '[ITALIC] batchsie']
We found that Multi30k dataset is easy to overfit. present training cost and validation METEOR score graph of the two experimental settings of the NMT model. Large decay-c ans small batchsize give the better METEOR scores in the end. Training is stopped if there is no validation cost improvements over the last 10 validations.