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17 lines
677 B
17 lines
677 B
import torch
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__all__ = ["LossForPretraining"]
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class LossForPretraining(torch.nn.Module):
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def __init__(self, vocab_size):
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super(LossForPretraining, self).__init__()
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self.loss_fn = torch.nn.CrossEntropyLoss(ignore_index=-1)
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self.vocab_size = vocab_size
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def forward(self, prediction_scores, masked_lm_labels, next_sentence_labels=None):
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masked_lm_loss = self.loss_fn(prediction_scores.view(-1, self.vocab_size), masked_lm_labels.view(-1))
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# next_sentence_loss = self.loss_fn(seq_relationship_score.view(-1, 2), next_sentence_labels.view(-1))
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total_loss = masked_lm_loss # + next_sentence_loss
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return total_loss
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