Hello all,
I followed along with the new MLOps course and I am trying to adapt what I learned there to a different framework/scenario. I am working with a sequence-to-sequence transformer model (NLP), utilizing Tensorflow as the framework. I am at the point where I would like to leverage a sweep to optimize hyperparameters. I am struggling to find a good example. Can anyone point me to something that is close to what I am trying to achieve? Mainly how to perform sweeps with TF and then I can go from there. Thank you!