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When you test with ImageReward, the higher ImageReward, the better.
The reward is normalized to have a mean of 0 and a standard deviation of 1. When testing stable diffusion v1.4 on our metric set, the scope of the reward is observed to have 62.4% of [-1,1] and 98.2% of [-2,2].
You can refer to: Issue 5, Issue 7, Issue 22, and Issue 40.
指标是越高越好的;多个model在相同数据集使用ImageReward评测,越高越好。
Hello, in some cases, I found some indicators are negative. Are they normal?
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