是否实施了 SOP（句序预测）？

Question

我正在查看Huggingface 的Albert 版本。

但是，我找不到任何关于 SOP 的代码或评论。

我可以从modeling_from src/transformers/modeling_bert.py找到NSP(Next Sentence Prediction)实现。

if masked_lm_labels is not None and next_sentence_label is not None:
    loss_fct = CrossEntropyLoss()
    masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), masked_lm_labels.view(-1))
    next_sentence_loss = loss_fct(seq_relationship_score.view(-1, 2), next_sentence_label.view(-1))
    total_loss = masked_lm_loss + next_sentence_loss
    outputs = (total_loss,) + outputs

SOP 是从这里继承的，带有 SOP 风格的标签吗？或者我有什么遗漏吗？

Answer 1

句子顺序损失为here：

sentence_order_loss = loss_fn(y_true=sentence_order_label, y_pred=sentence_order_reduced_logits)

这只是一个交叉熵损失。