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Check out the documentation for more information.

Four models are used in total. For learning the relationship between ciphertext and plaintext, RNN and LSTM are employed, while BiLSTM and SSM are used for next-word prediction.

Each model is saved in two versions: the latest model, which is obtained at the final epoch of training, and the best model, which corresponds to the epoch where the validation loss is minimum.

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