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["0102", "0295", "0071", "0174", "0106", "0116", "0065"]

num_epochs = 10000 gradient_accumulation_steps = 1 learning_rate = 5e-5

[ transforms.Resize((config.image_size, config.image_size)), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize([0.5], [0.5]), ]

"DownBlock2D", # a regular ResNet downsampling block "DownBlock2D", "DownBlock2D", "DownBlock2D", "AttnDownBlock2D", # a ResNet downsampling block with spatial self-attention "DownBlock2D",

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