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viyjy avatar viyjy commented on June 16, 2024

Hi, thanks for you interest in our work.
Do you mean that you can get reasonable performance on other tasks? Clipart is the only exception?

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mzmzdcr avatar mzmzdcr commented on June 16, 2024

Right, I encountered this strange phenomenon. Can you give me some advice?

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viyjy avatar viyjy commented on June 16, 2024

You only changed the batch size? Can you exactly follow the hyper-parameters as I used?

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mzmzdcr avatar mzmzdcr commented on June 16, 2024

@viyjy. I reduced the bs to 32 and adjusted the input resolution to 224. Other hyperparameters are completely set by default

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viyjy avatar viyjy commented on June 16, 2024

why do you make these changes? Have you tried the command line in script?

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mzmzdcr avatar mzmzdcr commented on June 16, 2024

I need to control the consumption of GPU memory below 24g, so I use this setting.

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viyjy avatar viyjy commented on June 16, 2024

can you also decrease the lr by half and see what happens?

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mzmzdcr avatar mzmzdcr commented on June 16, 2024

Let me test whether it is feasible to reduce the learning rate

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mzmzdcr avatar mzmzdcr commented on June 16, 2024

I'm sorry to reply to you so slowly because recently there was a problem with our GPU server device. First, whether the learning rate is increased or decreased, the results obtained on the task whose target domain is clipart are reduced.

Could you spare time to test locally and share the training log with me? The specific settings are as follows:
--img_size 224 --train_batch_size 32 --beta 0.1 --gamma 0. --use_im --theta 0.1

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