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# seq2seq
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- train_tokenizer_auto.py:
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- trains the manual tokenizer
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- tokenize_seq2seq.py:
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- tokenize the dataset for the seq2seq model
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- train_seq2seq.py:
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- finetuning the pretrained model
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- will create a sequence-to-sequence translation model
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- StatementConfiguration.py
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- defines the JSON format for statement translation training
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# manual1
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Contains JSONs mapping bytecode instructions and their configurations to use in training.
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