Tutorial: add Model training section

[raphaelschwinger]

Add a section to the tutorial to train and evaluate a simple NN (efficientnet). Including visualization of audio input, spectrogram, NN output and transformation of output to class name.

This involves the following steps:

• Load BaseModule with model parameter as efficientnet.py
  • for this, the hydra.initiate call needs to be removed and the model parameter should be typed as an object (see how it is done in the GADMEDatamodule)
• train using lightning trainer
• eval using lightning trainer
• use trained model for prediction of a test sample
  • load a single sample from test dataset
  • visualize waveform, make audio listenable in notebook
  • convert to spectrogram using test dataloader (make sure its the same sample, could be done with disabling random sampling of the dataloader ?)
  • feed into trained network
  • convert output to class label name

[raphaelschwinger]

@tom2208 @jonathanschirp @PariaValizadeh That could be a good task for you! First try the stuff I mentioned in notion and then tackle this issue!