Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.866805076599121
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829856101423502
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.0691375732421875
Linear Weight Rank: 180
Intra Cos: 0.01290619932115078
Inter Cos: 0.0045386552810668945
Norm Quadratic Average: 10.103928565979004
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.014642238616943
Linear Weight Rank: 180
Intra Cos: 0.011631723493337631
Inter Cos: 0.0029045783448964357
Norm Quadratic Average: 10.098877906799316
Nearest Class Center Accuracy: 0.49075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.897862434387207
Linear Weight Rank: 180
Intra Cos: 0.014563878066837788
Inter Cos: 0.0026188031770288944
Norm Quadratic Average: 10.086565017700195
Nearest Class Center Accuracy: 0.587375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.845217227935791
Linear Weight Rank: 179
Intra Cos: 0.03353768214583397
Inter Cos: -0.004169115796685219
Norm Quadratic Average: 10.052261352539062
Nearest Class Center Accuracy: 0.885625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.827148199081421
Linear Weight Rank: 4
Intra Cos: 0.1931970715522766
Inter Cos: -0.052134040743112564
Norm Quadratic Average: 10.458338737487793
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8958994150161743
Inter Cos: -0.22881947457790375
Norm Quadratic Average: 7.998048782348633
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.9487742385864257
Accuracy: 0.5195
NC1 Within Class Collapse: 12.563282012939453
NC2 Equinorm: Features: 0.06908097863197327, Weights: 0.026238078251481056
NC2 Equiangle: Features: 0.24799486001332602, Weights: 0.03661555051803589
NC3 Self-Duality: 0.24057473242282867
NC4 NCC Mismatch: 0.10399999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.866805076599121
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012289620935917
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.0691375732421875
Linear Weight Rank: 180
Intra Cos: 0.014284644275903702
Inter Cos: 0.004562264308333397
Norm Quadratic Average: 10.066978454589844
Nearest Class Center Accuracy: 0.455

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.014642238616943
Linear Weight Rank: 180
Intra Cos: 0.01089373230934143
Inter Cos: 0.0032353850547224283
Norm Quadratic Average: 10.090469360351562
Nearest Class Center Accuracy: 0.491

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.897862434387207
Linear Weight Rank: 180
Intra Cos: 0.009356693364679813
Inter Cos: 0.003466637572273612
Norm Quadratic Average: 10.089144706726074
Nearest Class Center Accuracy: 0.491

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.845217227935791
Linear Weight Rank: 179
Intra Cos: 0.010076434351503849
Inter Cos: 0.002022696891799569
Norm Quadratic Average: 10.039813995361328
Nearest Class Center Accuracy: 0.525

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.827148199081421
Linear Weight Rank: 4
Intra Cos: 0.029409175738692284
Inter Cos: 0.004571572877466679
Norm Quadratic Average: 9.971234321594238
Nearest Class Center Accuracy: 0.5475

Output Layer:
Intra Cos: 0.14126430451869965
Inter Cos: 0.010022943839430809
Norm Quadratic Average: 6.528536796569824
Nearest Class Center Accuracy: 0.52

