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README中写到 蒸馏阶段使用无监督数据,可以增强模型的鲁棒性
请问一下这里的无监督数据指的是什么?有具体的例子吗?我看script_train_stage1.sh中使用的数据还是有标签的数据。
希望能帮忙解答一下,谢谢
The text was updated successfully, but these errors were encountered:
因为蒸馏阶段本质是 学生学习老师的输出,那么可以是任何数据输入老师模型得到学生的学习目标。为了蒸馏效率,推荐使用和任务相关的数据(如待标注数据)来保持类别的均衡性,默认的script_train_stage1.sh直接使用了训练数据。
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哈哈哈 make sense FastBert还是看做是一个半监督的分类器 学习了
请问一下,如果补充新的无标注的数据作为蒸馏阶段的数据,那么是将 --train_data 保持不变 --eval_data 更改为无标注数据即可吗?
--train_data
--eval_data
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README中写到
蒸馏阶段使用无监督数据,可以增强模型的鲁棒性
请问一下这里的无监督数据指的是什么?有具体的例子吗?我看script_train_stage1.sh中使用的数据还是有标签的数据。
希望能帮忙解答一下,谢谢
The text was updated successfully, but these errors were encountered: