Dassl.pytorch
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Effect of random seed on experimental results
I was interested in your work, so I downloaded the code to try it out. However, under the Settings of M=16, Shot=5, CTP=middle, the test acc of the three random seeds is very different, respectively: 67.7%,73.3%,64.0%。What might be the reason for this? As a rule of thumb, random seeds should not have such a large effect on experimental performance. Looking forward to your reply!