Loss in training loops

# Issue
## Problem Description

The last batch of each epoch is usually smaller than the others. One approach is to sum the losses and divide by the total number of samples.

Currently, loss calculations in handlers sum the average loss of each batch and divide by the length of the dataloader.

## Expected Behavior

## What Needs to be Done

## How Can It Be Tested or Reproduced