#netType                width depth   dataset       num_epochs lr_sche seed lr   weight_decay   warmup_epochs fix_fingers  remove_fist  remove_last metric temp_balance_lr   batchnorm  lr_min_ratio lr_slope xmin-pos     sg      stage-epoch lr-min-ratio-stage2
resnet_tiny_imagenet     1     18    tiny_imagenet   200        cosine   43    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
resnet_tiny_imagenet     1     18    tiny_imagenet   200        cosine   37    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
resnet_tiny_imagenet     1     18    tiny_imagenet   200        cosine   13    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
resnet_tiny_imagenet     1     18    tiny_imagenet   200        cosine   51    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
resnet_tiny_imagenet     1     18    tiny_imagenet   200        cosine   71    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
resnet_tiny_imagenet     1     34    tiny_imagenet   200        cosine   43    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
resnet_tiny_imagenet     1     34    tiny_imagenet   200        cosine   37    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
resnet_tiny_imagenet     1     34    tiny_imagenet   200        cosine   13    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
resnet_tiny_imagenet     1     34    tiny_imagenet   200        cosine   51    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
resnet_tiny_imagenet     1     34    tiny_imagenet   200        cosine   71    0.1      0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0         2       0.01         0             1.0
wide_resnet              8     16    tiny_imagenet   200        cosine   43   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0
wide_resnet              8     16    tiny_imagenet   200        cosine   37   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0
wide_resnet              8     16    tiny_imagenet   200        cosine   51   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0
wide_resnet              8     16    tiny_imagenet   200        cosine   71   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0
wide_resnet              8     16    tiny_imagenet   200        cosine   13   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0
wide_resnet              6     28    tiny_imagenet   200        cosine   43   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0
wide_resnet              6     28    tiny_imagenet   200        cosine   37   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0
wide_resnet              6     28    tiny_imagenet   200        cosine   51   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0
wide_resnet              6     28    tiny_imagenet   200        cosine   43   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0
wide_resnet              6     28    tiny_imagenet   200        cosine   37   0.1     0.0005           0          xmin_mid       True         True     alpha       None           True       1.0        0.0      2       0.0001        0             1.0