Hello,
Full disclosure, I am new to PyTorch and machine learning in general.
I am trying to follow this tutorial 1 to preform Time Series Classification. However, instead of using the data set provided in the tutorial, I substituted it with my own data set.
However, when I run the code with my data set it does not seem to improve beyond the very first epoch. Does anyone have any ideas as to what I could experiment with to try and fix this? I’ve tried experimenting with different drop out rates but that did not seem to any have noticeable effect. Perhaps I forgot to make and obvious change somewhere.
You can view the modified code with my data set here,
https://colab.research.google.com/drive/1H048DMQlpSCMn7fh_1HsGa6RhdAcU233?usp=sharing 1
Thanks!