alabnii/sciclaimeval-shared-task huggingface dataset:
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\multicolumn{1}{c}{Scheme} & val. accuracy in \% & accuracy gap in \% \\ \midrule
Baseline full batch GD & 73.10 & 8.99 \\
Gaussian & 70.58 & 8.53 \\
MPGD, $\gamma = 0.55$ & {\bf 75.97} (74.51) & 6.08 (6.58) \\
MPGD, $\gamma = 0.6$ & 75.78 (74.60) & {\bf 5.64} (6.15) \\
MPGD, $\gamma = 0.65$ & 74.39 (72.96) & 6.41 (6.85) \\
MPGD, $\gamma = 0.7$ & 73.72 (73.27) & 6.69 (6.04) \\
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\caption{Table 2: ResNet-18 trained on CIFAR-10 for 1000 epochs. Here, accuracy gap = training accuracy - validation accuracy. The results in parenthesis are achieved with the variant of MPGD DS:sym. All the results are averaged over 5 models trained with different seed values.}
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