Have you test the SST-2 dataset ?
I have run word_cnn model on SST-2 dataset . Only get 0.38 accuracy. But the accuray is 0.45 in paper.
How to change the model to improve the accuracy? Is something wrong?
The word_rnn model can get 0.45 accuracy, why diff is so large?
change the word embedding size smaller can get higher score
i think it is because the sst-2 dataset is so small , when use big embedding size, the representation is poor
Have you test the SST-2 dataset ? I have run word_cnn model on SST-2 dataset . Only get 0.38 accuracy. But the accuray is 0.45 in paper. How to change the model to improve the accuracy? Is something wrong? The word_rnn model can get 0.45 accuracy, why diff is so large?