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首先感谢分享代码,我看distill.py有个疑问,最后输出的准确率是dev集上的结果,而默认teach_on_dev = True,这样相当于用dev集合在训练,这会导致测试效果虚高吧?
The text was updated successfully, but these errors were encountered:
我明白用的dev集进行训练的时候没有过使用golden label,但是一般在真实场景下我们无法提前知道要预测的样本,我用distill.py在测试集上评估准确率,提升非常有限,不知道是不是我哪里用错了。
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也有同样疑惑,虽然没有使用label,但却使用验证集指标来衡量模型,总觉得有点不妥
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首先感谢分享代码,我看distill.py有个疑问,最后输出的准确率是dev集上的结果,而默认teach_on_dev = True,这样相当于用dev集合在训练,这会导致测试效果虚高吧?
The text was updated successfully, but these errors were encountered: