A question about the conclusion of this paper

"Scaling Data-Constrained Language Models" is a very nice paper, and I learn a lot from this paper.

However, I have a question about this paper:

In the abstract and Figure 1, it recommends we should train 4 epochs.

But Figure 3 shows that we should choose 59 epochs.

So my question is why the optimal epoch is not 4 epochs in Figure 3.

Thanks in advance.