I’m retraining my model to get confusion matrix. Does the following plots provide any insight into where I might be going wrong?
Orange curve is train accuracy and blue curve is validation accuracy

Fig1: training without addressing class imbalance. N/w arch: [70-400-4]

Fig2: training with weighted loss (Try 2). N/w arch: [70-400-4]
In the later case, training accuracy seems to saturate. Also, what could be the reason behind fluctuation in validation accuracy in the 2nd plot.
Thanks!