#netType                      width      depth      dataset       num_epochs      lr_sche     seed       lr    weight_decay      warmup_epochs      fix_fingers      xmin-pos
resnet_tiny_imagenet           1        18       tiny_imagenet      200          cosine         43        0.1        0.0005              0               xmin_mid           2
resnet_tiny_imagenet           1        18       tiny_imagenet      200          cosine         71        0.1        0.0005              0               xmin_mid           2
resnet_tiny_imagenet           1        18       tiny_imagenet      200          cosine         13        0.1        0.0005              0               xmin_mid           2
resnet_tiny_imagenet           1        18       tiny_imagenet      200          cosine         37        0.1        0.0005              0               xmin_mid           2
resnet_tiny_imagenet           1        18       tiny_imagenet      200          cosine         51        0.1        0.0005              0               xmin_mid           2
resnet_tiny_imagenet           1        34       tiny_imagenet      200          cosine         43        0.1        0.0005              0               xmin_mid           2
resnet_tiny_imagenet           1        34       tiny_imagenet      200          cosine         71        0.1        0.0005              0               xmin_mid           2
resnet_tiny_imagenet           1        34       tiny_imagenet      200          cosine         13        0.1        0.0005              0               xmin_mid           2
resnet_tiny_imagenet           1        34       tiny_imagenet      200          cosine         37        0.1        0.0005              0               xmin_mid           2
resnet_tiny_imagenet           1        34       tiny_imagenet      200          cosine         51        0.1        0.0005              0               xmin_mid           2
wide_resnet                    8        16       tiny_imagenet      200          cosine         43        0.1        0.0005              0               xmin_mid           2
wide_resnet                    8        16       tiny_imagenet      200          cosine         71        0.1        0.0005              0               xmin_mid           2
wide_resnet                    8        16       tiny_imagenet      200          cosine         13        0.1        0.0005              0               xmin_mid           2
wide_resnet                    8        16       tiny_imagenet      200          cosine         37        0.1        0.0005              0               xmin_mid           2
wide_resnet                    8        16       tiny_imagenet      200          cosine         51        0.1        0.0005              0               xmin_mid           2
wide_resnet                    6        28       tiny_imagenet      200          cosine         43        0.05       0.0005              0               xmin_mid           2
wide_resnet                    6        28       tiny_imagenet      200          cosine         71        0.05       0.0005              0               xmin_mid           2
wide_resnet                    6        28       tiny_imagenet      200          cosine         13        0.05       0.0005              0               xmin_mid           2
wide_resnet                    6        28       tiny_imagenet      200          cosine         37        0.05       0.0005              0               xmin_mid           2
wide_resnet                    6        28       tiny_imagenet      200          cosine         51        0.05       0.0005              0               xmin_mid           2