Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.147805690765381
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1602864265441895
Linear Weight Rank: 180
Intra Cos: 0.025451721623539925
Inter Cos: -0.004849259741604328
Norm Quadratic Average: 12.220573425292969
Nearest Class Center Accuracy: 0.574875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.111420154571533
Linear Weight Rank: 179
Intra Cos: 0.029247649013996124
Inter Cos: -0.0033173190895467997
Norm Quadratic Average: 12.198209762573242
Nearest Class Center Accuracy: 0.6305

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.122529983520508
Linear Weight Rank: 179
Intra Cos: 0.03713209927082062
Inter Cos: -0.006786767393350601
Norm Quadratic Average: 12.168182373046875
Nearest Class Center Accuracy: 0.755875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.070423603057861
Linear Weight Rank: 180
Intra Cos: 0.07014975696802139
Inter Cos: -0.01777060516178608
Norm Quadratic Average: 12.147910118103027
Nearest Class Center Accuracy: 0.95525

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6649229526519775
Linear Weight Rank: 4
Intra Cos: 0.23632937669754028
Inter Cos: -0.06970140337944031
Norm Quadratic Average: 12.453978538513184
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8714123368263245
Inter Cos: -0.1781335175037384
Norm Quadratic Average: 10.005058288574219
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.9930633735656739
Accuracy: 0.7425
NC1 Within Class Collapse: 3.6953799724578857
NC2 Equinorm: Features: 0.06211945414543152, Weights: 0.032364871352910995
NC2 Equiangle: Features: 0.07875725626945496, Weights: 0.05068838596343994
NC3 Self-Duality: 0.18385139107704163
NC4 NCC Mismatch: 0.046499999999999986

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.147805690765381
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1602864265441895
Linear Weight Rank: 180
Intra Cos: 0.023684591054916382
Inter Cos: -0.003629664657637477
Norm Quadratic Average: 12.220312118530273
Nearest Class Center Accuracy: 0.5945

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.111420154571533
Linear Weight Rank: 179
Intra Cos: 0.025437606498599052
Inter Cos: -0.0015090281376615167
Norm Quadratic Average: 12.18713092803955
Nearest Class Center Accuracy: 0.621

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.122529983520508
Linear Weight Rank: 179
Intra Cos: 0.026579128578305244
Inter Cos: -0.003395636100322008
Norm Quadratic Average: 12.179588317871094
Nearest Class Center Accuracy: 0.667

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.070423603057861
Linear Weight Rank: 180
Intra Cos: 0.03964053839445114
Inter Cos: -0.005848693661391735
Norm Quadratic Average: 12.112913131713867
Nearest Class Center Accuracy: 0.718

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6649229526519775
Linear Weight Rank: 4
Intra Cos: 0.10251633822917938
Inter Cos: -0.01896926574409008
Norm Quadratic Average: 12.17425537109375
Nearest Class Center Accuracy: 0.743

Output Layer:
Intra Cos: 0.4114210903644562
Inter Cos: -0.0687476098537445
Norm Quadratic Average: 9.16977310180664
Nearest Class Center Accuracy: 0.734

