Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.95412540435791
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001681327819824
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.955275058746338
Linear Weight Rank: 180
Intra Cos: 0.07347483932971954
Inter Cos: 0.001298694172874093
Norm Quadratic Average: 13.794364929199219
Nearest Class Center Accuracy: 0.86125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.907941818237305
Linear Weight Rank: 179
Intra Cos: 0.11484653502702713
Inter Cos: 0.000857554143294692
Norm Quadratic Average: 13.762863159179688
Nearest Class Center Accuracy: 0.9255

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884421348571777
Linear Weight Rank: 180
Intra Cos: 0.15771324932575226
Inter Cos: 0.008872345089912415
Norm Quadratic Average: 13.68621826171875
Nearest Class Center Accuracy: 0.966625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901273250579834
Linear Weight Rank: 180
Intra Cos: 0.2190037965774536
Inter Cos: 0.012596561573445797
Norm Quadratic Average: 13.630280494689941
Nearest Class Center Accuracy: 0.996625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.415107011795044
Linear Weight Rank: 4
Intra Cos: 0.37134087085723877
Inter Cos: -0.030617868527770042
Norm Quadratic Average: 13.712175369262695
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.922859787940979
Inter Cos: -0.04841086268424988
Norm Quadratic Average: 11.866836547851562
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.27715551376342773
Accuracy: 0.9015
NC1 Within Class Collapse: 1.3775784969329834
NC2 Equinorm: Features: 0.027682991698384285, Weights: 0.017347006127238274
NC2 Equiangle: Features: 0.30870509147644043, Weights: 0.11691004037857056
NC3 Self-Duality: 0.21930697560310364
NC4 NCC Mismatch: 0.02200000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.95412540435791
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 7.955275058746338
Linear Weight Rank: 180
Intra Cos: 0.07528281956911087
Inter Cos: 0.0045413002371788025
Norm Quadratic Average: 13.78166675567627
Nearest Class Center Accuracy: 0.863

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.907941818237305
Linear Weight Rank: 179
Intra Cos: 0.11355387419462204
Inter Cos: 0.004978034179657698
Norm Quadratic Average: 13.762099266052246
Nearest Class Center Accuracy: 0.9025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884421348571777
Linear Weight Rank: 180
Intra Cos: 0.14845792949199677
Inter Cos: 0.013784617185592651
Norm Quadratic Average: 13.69662857055664
Nearest Class Center Accuracy: 0.9135

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901273250579834
Linear Weight Rank: 180
Intra Cos: 0.18825052678585052
Inter Cos: 0.015676388517022133
Norm Quadratic Average: 13.63319206237793
Nearest Class Center Accuracy: 0.9065

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.415107011795044
Linear Weight Rank: 4
Intra Cos: 0.2804209887981415
Inter Cos: -0.0069451890885829926
Norm Quadratic Average: 13.545408248901367
Nearest Class Center Accuracy: 0.9065

Output Layer:
Intra Cos: 0.7409811019897461
Inter Cos: 0.011165760457515717
Norm Quadratic Average: 11.492501258850098
Nearest Class Center Accuracy: 0.905

