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Hello! We are running on our own data (the vertex data is not 5023*3, but 169-dimensional). The loss in the first stage decreases normally, but the second stage does not converge at all. What is the reason?
The text was updated successfully, but these errors were encountered:
Hi, since this kind of VQ-stuff is not easy to converge and sensitive to the dataset/task/representation, hypter-parameters, and network architecture (no. of transformer layers, heads...). You may need to modify them to make it work on a customized dataset.
Hello! We are running on our own data (the vertex data is not 5023*3, but 169-dimensional). The loss in the first stage decreases normally, but the second stage does not converge at all. What is the reason?
The text was updated successfully, but these errors were encountered: