A team of data scientists at a global asset management firm is working on a neural network (NN) model to assess how the choice of metrics used by the firm to select equity investments relates to stock performance. In particular, the team designs the NN model to find the combination of weights for these metrics that generates the highest risk-adjusted return in the firm's portfolios. The team optimizes the model during the training process by varying multiple parameters and observes that, during multiple runs with identical parameters, the loss function converges to different, yet still stable, values. Which of the following is the most appropriate action for the team to take to address this issue?