Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7972899675369263
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.914011836051941
Linear Weight Rank: 179
Intra Cos: 0.0994022861123085
Inter Cos: 0.0064272191375494
Norm Quadratic Average: 2.9912025928497314
Nearest Class Center Accuracy: 0.9155

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8187893629074097
Linear Weight Rank: 179
Intra Cos: 0.1702774167060852
Inter Cos: 0.005046356935054064
Norm Quadratic Average: 2.9406607151031494
Nearest Class Center Accuracy: 0.978625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.758171558380127
Linear Weight Rank: 179
Intra Cos: 0.3102547228336334
Inter Cos: 0.003726319409906864
Norm Quadratic Average: 2.9381396770477295
Nearest Class Center Accuracy: 0.998625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7484866380691528
Linear Weight Rank: 179
Intra Cos: 0.6436554789543152
Inter Cos: -0.04313065484166145
Norm Quadratic Average: 2.952387809753418
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.984095573425293
Linear Weight Rank: 4
Intra Cos: 0.960229218006134
Inter Cos: -0.2557612955570221
Norm Quadratic Average: 3.592723846435547
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9974677562713623
Inter Cos: -0.24219650030136108
Norm Quadratic Average: 3.998159170150757
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.18306351041793822
Accuracy: 0.934
NC1 Within Class Collapse: 0.4574820101261139
NC2 Equinorm: Features: 0.01939305104315281, Weights: 0.019301075488328934
NC2 Equiangle: Features: 0.13406164447466531, Weights: 0.026850213607152302
NC3 Self-Duality: 0.03741060942411423
NC4 NCC Mismatch: 0.0050000000000000044

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7972899675369263
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.914011836051941
Linear Weight Rank: 179
Intra Cos: 0.10215255618095398
Inter Cos: 0.0065558068454265594
Norm Quadratic Average: 2.991133213043213
Nearest Class Center Accuracy: 0.915

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8187893629074097
Linear Weight Rank: 179
Intra Cos: 0.16151221096515656
Inter Cos: 0.005881049670279026
Norm Quadratic Average: 2.945039749145508
Nearest Class Center Accuracy: 0.9485

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.758171558380127
Linear Weight Rank: 179
Intra Cos: 0.29104769229888916
Inter Cos: 0.011588133871555328
Norm Quadratic Average: 2.9348244667053223
Nearest Class Center Accuracy: 0.9525

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7484866380691528
Linear Weight Rank: 179
Intra Cos: 0.5359911322593689
Inter Cos: -0.014248508960008621
Norm Quadratic Average: 2.890611171722412
Nearest Class Center Accuracy: 0.9455

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.984095573425293
Linear Weight Rank: 4
Intra Cos: 0.8003290891647339
Inter Cos: -0.15440018475055695
Norm Quadratic Average: 3.3198626041412354
Nearest Class Center Accuracy: 0.9355

Output Layer:
Intra Cos: 0.8452645540237427
Inter Cos: -0.1409239023923874
Norm Quadratic Average: 3.6637418270111084
Nearest Class Center Accuracy: 0.935

