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Seq2Seq model with Attention for Generative Chit-Chat in PyTorch

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Generative Chit-Chat

Data preparation

The model was trained on Ответы Mail.ru dataset (1000K examples) tokenized with pre-trained BPE-tokenizer youtokentome.

Model

  • Encoder: LSTM
  • Decoder: LSTM with Attention Mechanism

To run training:

python train.py

Evaluation

For decoding answers greedy-search decoder is used. To see results:

python test.py

Examples

See examples of model answers in test.tsv file.

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Seq2Seq model with Attention for Generative Chit-Chat in PyTorch

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