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END-TO-END MODEL TRAINING METHOD AND APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
END-TO-END MODEL TRAINING METHOD AND APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
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机译:端到端模型训练方法和装置,以及非暂时性计算机可读介质
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摘要
The present disclosure provides an end-to-end model training method and apparatus, which relates to a field of artificial intelligence technologies. The method includes: obtaining training data containing a plurality of training samples, in which the plurality of training samples include an original sequence, a target sequence and a corresponding tag list, the tag list includes importance tags in the target sequence and avoidance tags corresponding to the importance tags, and the avoidance tags are irrelevant tags corresponding to the importance tags; and adopting the training data to train a preset end-to-end model until a value of a preset optimization target function is smaller than a preset threshold.
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