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Aboat training #50

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hx1024 opened this issue Jun 27, 2019 · 4 comments
Open

Aboat training #50

hx1024 opened this issue Jun 27, 2019 · 4 comments

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@hx1024
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hx1024 commented Jun 27, 2019

In the training .yml file,what does the "ft_tsa_only" mean?
when I doesn't use it, prompted WARNING: Offset mean is XX, larger than 100.
and the loss is larger than use the "ft_tsa_only" to train

@xinntao
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xinntao commented Jun 28, 2019

ft_tsa_only: only finetune TSA module
We first train a model w/o TSA. Then we add the TSA module and only finetune TSA for some iterations. After that, we finetune the whole model.

@TouqeerAhmad
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I wanted to make sure I understood is correctly. Is this how the complete training goes:

  1. Train the model with only PCD and reconstruction modules i.e. woTSA,
  2. Train only TSA module.
  3. Train the full EDVR with everything in place.

If that is the case; can you please answer the following questions:

  1. For how long you train woTSA?
  2. How to train only TSA module? Is there a setting I can do in the yml file? And how long this should be trained/fine-tuned?

@TouqeerAhmad
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Hi, by looking at the provided log files; it feels you are first training for 600K iterations woTSA and then using this pre-trained model, further training for another 600K iterations with TSA module in place. Is this correct?

Why fine-tuning based on TSA required equal amount of training?

@xinntao
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xinntao commented Aug 18, 2019

  1. Yes, correct.
  2. I think we can shorten the training iteration without affecting the performance much. I set it the same as the first stage, for simplicity.

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