A Short Text Classification Model for Electrical Equipment Defects Based on Contextual Features | Wuhan University Journal of Natural Sciences

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Table 2

Experimental hyperparameter settings

Hyperparameter name	Value setting
dimensions of embeddings	200
max length of sentences	32
number of epoches	30
size of BiLSTM	256
size of batch	64
dropout	0.1
learning rate	5E-5
size of convolution kernel	[2,3,4]
optimizer	Adam

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