Generally speaking there is no fixed recipe you have to follow here, you can train on both datasets in any order or with different degrees of mixing. It’s hard to know ahead of time what will give the best results as it is likely dataset and use-case dependent. The only thing to pay attention to is how the last layers are swapped in an out (as I imagine the classes in Cars and Animals are different and there are different numbers of classes between the datasets).