With this experiment we try to verify empirically that as Early Stopping tolerance increases (to bigger values) we obtain the correct estimate of the correct epoch to stop training
- ( ) Train NN model at an increasing Early Stopping tolerance
- ( ) Repeat step one with bigger model sizes
- ( ) At every step capture the energy, performance, and entropy
- ( ) Record the stopping epoch
- ( ) Verify that there is a correlation between the stopping epochs and entropy
* Possible Results
We expect that the results show a correlation between an increase on complexity and stopping epoch i.e. as we increase Early Stopping tolenrance the complexity will either increase or decrease.
