We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
请问在做MLM+CL无监督训练的时候是直接用随机mask掉之后的句子做dropout计算CLloss吗?, 例如,先对句子A=[a,b,c,d,e,f]做随机MASK得到B=[a,[MASK],c,[MASK],e,f], 再把句子B两次输入到bert模型中得到dropout之后的两个句子对,然后计算得到CL loss和MLM loss 请问我说的对么?
The text was updated successfully, but these errors were encountered:
No branches or pull requests
请问在做MLM+CL无监督训练的时候是直接用随机mask掉之后的句子做dropout计算CLloss吗?,
例如,先对句子A=[a,b,c,d,e,f]做随机MASK得到B=[a,[MASK],c,[MASK],e,f], 再把句子B两次输入到bert模型中得到dropout之后的两个句子对,然后计算得到CL loss和MLM loss
请问我说的对么?
The text was updated successfully, but these errors were encountered: