Comments (3)
这个问题很好,因为我没有看原论文,所以当时没有发现这一点,感谢您的反馈。
我这里的试验结果显示确实有效,我从代码的角度给出一个我的思考吧。
原论文数据集的句子都很长,不存在大量的 padding。而本次任务的数据 query 和 title 都很短,query 比 title 还要短,为了照顾长一些的 title,因此 max_len 比较大。
这样的话,而 CLS 的输出是最后一层表示经过全连接在激活,这部分是没有 mask 的,我猜测有一定的偏差。而first和last,里面的 attention 都有 mask,因此填充部分没有注意力,结果也好一些。
说来惭愧,bert mask 那部分我理解的不是很好,以上仅仅是我的猜测。
from e-commerce-search-recall.
据说在roberta模型上会有好的效果,不过我自己的实验上好像效果还差了点
from e-commerce-search-recall.
应该是的,我们这边也发现 roberta 的效果差了一些。
from e-commerce-search-recall.
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