That’s pretty much exactly what you would want.
If the gap between the train and validation loss is really close you have low variance, which is great! Also it looks like the loss is going down, so you might want to continue the training.
Why do you expect something other to see? Should it be harder for the model to learn, i.e. did you expect a higher loss?
I’m not sure how you’ve loaded the data, but make sure the training and validation data is not the same.