/repetition

Primary LanguagePython

Modefied from https://github.com/spro/char-rnn.pytorch

Run train.py with the dataset filename to train and save the network:

> python train.py ab.txt

Training for 2000 epochs...
(... 10 minutes later ...)
Saved as ab.pt

After training the model will be saved as [filename].pt.

Training options

Usage: train.py [filename] [options]

Options:
--model            Whether to use LSTM or GRU units    gru
--n_epochs         Number of epochs to train           2000
--print_every      Log learning rate at this interval  100
--hidden_size      Hidden size of GRU                  50
--n_layers         Number of GRU layers                2
--learning_rate    Learning rate                       0.01
--chunk_len        Length of training chunks           200
--batch_size       Number of examples per batch        100
--cuda             Use CUDA

Generation

Run generate.py with the saved model from training, and a "priming string" to start the text with.

> python generate.py norep7.pt --prime_str "a"

Generation options

Usage: generate.py [filename] [options]

Options:
-p, --prime_str      String to prime generation with
-l, --predict_len    Length of prediction
-t, --temperature    Temperature (higher is more chaotic)
--cuda               Use CUDA

norep7.pt is the pretrained model

label*.txt are the generated samples which labeled with repetition