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Minimal RNN classifier with self-attention in Pytorch
train loss is 0.1*, but the valid loss is 6*, if add the L2 and try to increase the dropout rate, but does'nt work, how should i do, exactly, the acc is 80%-82%, but i want to know is there some method to solve the overfit, and increase the epoch to get a new acc? thank you
Sorry, i have a question in model when using LSTM.It's put the cell state into Attention, why not hidden state?
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