Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.8467956185340881
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0014525651931763
Linear Weight Rank: 178
Intra Cos: 0.1288205236196518
Inter Cos: 0.007547073997557163
Norm Quadratic Average: 1.096182107925415
Nearest Class Center Accuracy: 0.846625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8112279176712036
Linear Weight Rank: 178
Intra Cos: 0.20117482542991638
Inter Cos: -0.0008056275546550751
Norm Quadratic Average: 0.7440935373306274
Nearest Class Center Accuracy: 0.9895

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7005856037139893
Linear Weight Rank: 179
Intra Cos: 0.5585364103317261
Inter Cos: -0.01766734942793846
Norm Quadratic Average: 0.7008644938468933
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7486427426338196
Linear Weight Rank: 178
Intra Cos: 0.9399055242538452
Inter Cos: -0.12592346966266632
Norm Quadratic Average: 0.9258087277412415
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2428903579711914
Linear Weight Rank: 4
Intra Cos: 0.9984623193740845
Inter Cos: -0.27571797370910645
Norm Quadratic Average: 2.4203357696533203
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9996614456176758
Inter Cos: -0.25389963388442993
Norm Quadratic Average: 3.136094331741333
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.14837027072906495
Accuracy: 0.97
NC1 Within Class Collapse: 0.1870751678943634
NC2 Equinorm: Features: 0.008293265476822853, Weights: 0.018928170204162598
NC2 Equiangle: Features: 0.08138740062713623, Weights: 0.024578909079233806
NC3 Self-Duality: 0.005478585138916969
NC4 NCC Mismatch: 0.0024999999999999467

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.8467956185340881
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0014525651931763
Linear Weight Rank: 178
Intra Cos: 0.12795650959014893
Inter Cos: 0.006990314461290836
Norm Quadratic Average: 1.095454216003418
Nearest Class Center Accuracy: 0.8545

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8112279176712036
Linear Weight Rank: 178
Intra Cos: 0.200837180018425
Inter Cos: -0.0002797553315758705
Norm Quadratic Average: 0.7430829405784607
Nearest Class Center Accuracy: 0.956

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7005856037139893
Linear Weight Rank: 179
Intra Cos: 0.5169630646705627
Inter Cos: 0.00642406428232789
Norm Quadratic Average: 0.6932166814804077
Nearest Class Center Accuracy: 0.974

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7486427426338196
Linear Weight Rank: 178
Intra Cos: 0.8651657700538635
Inter Cos: -0.07802347838878632
Norm Quadratic Average: 0.9015100002288818
Nearest Class Center Accuracy: 0.9715

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2428903579711914
Linear Weight Rank: 4
Intra Cos: 0.9206480383872986
Inter Cos: -0.21147403120994568
Norm Quadratic Average: 2.332773208618164
Nearest Class Center Accuracy: 0.9695

Output Layer:
Intra Cos: 0.9210007786750793
Inter Cos: -0.19243623316287994
Norm Quadratic Average: 3.021294593811035
Nearest Class Center Accuracy: 0.9705

