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[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

License: MIT License

Makefile 0.01% Python 92.24% Batchfile 0.02% Shell 3.08% C++ 1.79% Cuda 2.45% Cython 0.31% C 0.01% Lua 0.10%
natural-language-processing deep-learning transformers representation-learning language-model natural-language-understanding pretraining pretrained-language-model adversarial-machine-learning

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amos's Issues

Training loss and acc/auc curve

Hi,
I'm using amos now. My amos model (small size, discriminator ) have a low recall (70-80% percision while 40% recall). 60% mlm acc of generator.
I would just like to ask if you can post the loss of both base and large models (or even share the loss training curve, acc curve or auc curve ) so that i have a kind of reference point when training own models. This will help me a lot!

Thank u.

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