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Pytorch implementation of RNN, CNN, BiGRU and LSTM for text classifcation

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text-classification-pytorch

Pytorch implementation of RNN, CNN, BiGRU and LSTM for text classifcation

Result

Model Train acc Val acc Test acc
RNN 0.79435 0.39363 0.41181
CNN 0.87247 0.45000 0.43954
Bidirectional GRU 0.62176 0.47636 0.47591
LSTM with attention 0.54752 0.43363 0.42594

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Pytorch implementation of RNN, CNN, BiGRU and LSTM for text classifcation

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