Error when I have more than two classes about cnn_sentence

[HimaVarsha94]

@mn73 The code internally maps classes starting from 0 only. It is essential for you to start with 0 as for this code, it is the right approach.

[youngia]

The same error happens to me. After setting hidden_unites=[100,2] to [100,x], x is the number of classes, it works fine.

[lenhhoxung86]

Hello, I have the same problem. I have 4 classes and I've changed the method "build_data_cv" to create the data with 4 classes. In particular:
datum = {"y":class_number, "text": orig_rev, "num_words": len(orig_rev.split()), "split": np.random.randint(0,cv)}
I've changed hidden_units as you suggested, too. However, it still threw that error. Could you please help?

[mn73]

I applied the code to a dataset with 5 classes, changing hidden_units to [100,5] worked. But there's another issue that puzzled me: The model behaves quite differently depending on the output labels. Having '2,4,5,6,9' as labels, the model performs really badly and the training performance sometimes alternates between two values or has the exact same value for all epochs. So, I mapped my classes to labels '0,1,2,3,4', and the performance is much better and the strange behavior disappeared. Why is that?