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@@ -69,8 +69,7 @@ python main.py -logfolder -save_dir S2SChar -gpu 5 -input char -attention -bias
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### Pretrained models - Reproducibility
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We have done our best to ensure reproducibility of our results, however this is not always [guaranteed](https://pytorch.org/docs/stable/notes/randomness.html).
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As an extra reproducibility step, we also release our best performing models in the `pretrained_models` folder of this repository.
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You can try them by setting the flag `eval` and updating the model folders in your python commands, for example:
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As an extra reproducibility step, we also release our best performing models. Just unzip the `pretrained_models.zip` found [here](https://uofi.box.com/v/TextNormSeq2SeqModels) and try them by setting the flag `eval` and updating the model folders in your python commands, for example:
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- Pre-trained hybrid model (**HS2S**):
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```bash
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python main.py -eval -logfolder -save_dir hybrid_model -gpu 0 -load_from pretrained_models/word_model/model_50_word.pt -char_model pretrained_models/spelling_model/model_50_spelling.pt -input hybrid -data_augm -noise_ratio 0.1 -lowercase -bos -eos -batch_size 32 -share_vocab

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