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Table 8 Results of the Pdrop sweep using the best setting of the double-task network (C2-LSTM, L=6,N=256)

From: Exploring convolutional, recurrent, and hybrid deep neural networks for speech and music detection in a large audio dataset

P drop Train Validation Test
  Cost Acc.% Cost Acc.% Cost Acc.%
0 0.651 74.43 0.726 71.48 0.733 70.98
0.1 0.634 75.02 0.736 71.25 0.745 70.25
0.2 0.669 73.69 0.708 72.19 0.721 71.25
0.3 0.601 76.10 0.704 73.01 0.721 72.10
0.4 0.668 73.37 0.692 73.43 0.701 72.44
0.5 0.702 72.12 0.726 71.51 0.741 70.91
0.6 0.734 71.06 0.723 71.78 0.735 70.91
  1. The best setting in terms of validation cost is highlighted in italics