Update README.md

README.md

@@ -112,6 +112,7 @@ config/graph_net/train_layout_graph_doclaynet.yaml
 
 ## Q & A
 **Q:** how do I set hyper-parameters (1.node_weights 2.edge_weight) in config file?
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 **A:** The weight of the node needs to be carefully adjusted to obtain a desirable outcome. Empirically, classes with fewer samples should be given a higher weight, and vice versa. If you are working with Doclaynet, FUNSD or PubLaynet, you can use our hyper-parameters as we set in ``config/graph_net``. If you want to train it with your own dataset,  a good choice is to use batch-wise dynamic edge weight: For example, in one batch, you have 2 negative edges and 1 position edge, in order to avoid the negative edges dominating the loss, the negative edge weight can be $1/(2+1)$ and positive edge weight is set to $2/(2+1)$