Comments (1)
Can i use the ALBERT model to pretrain an autoencoder?
Would it be possible using this toolkit? It seems i need to write my own decoder to pretrain encoder and decoder at the same time. Would it be possible for you to provide me with some instructions on how to do that?
Yes, you need to write your own decoder.
For pre-training, run_upstream.py
calls the upstream Runner
(transformer/runner.py) like so:
runner = Runner(args, config, dataloader, ckpdir)
runner.set_model()
runner.train()
Hence if you modify the set_model()
and train()
function in Runner
, you can use our implementation to train your autoencoder.
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