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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.153557777404785
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: 8.329994201660156
Linear Weight Rank: 180
Intra Cos: 0.012888607569038868
Inter Cos: 0.004644544329494238
Norm Quadratic Average: 14.06847095489502
Nearest Class Center Accuracy: 0.458875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.290550231933594
Linear Weight Rank: 179
Intra Cos: 0.011142061091959476
Inter Cos: 0.0028775131795555353
Norm Quadratic Average: 14.06521224975586
Nearest Class Center Accuracy: 0.48575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.174715042114258
Linear Weight Rank: 180
Intra Cos: 0.013418329879641533
Inter Cos: 0.0026339443866163492
Norm Quadratic Average: 14.042594909667969
Nearest Class Center Accuracy: 0.56175

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134215354919434
Linear Weight Rank: 179
Intra Cos: 0.02665838785469532
Inter Cos: -0.002507259137928486
Norm Quadratic Average: 14.00123119354248
Nearest Class Center Accuracy: 0.8045

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2920947074890137
Linear Weight Rank: 4
Intra Cos: 0.11433759331703186
Inter Cos: -0.02797284908592701
Norm Quadratic Average: 14.351611137390137
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8628352284431458
Inter Cos: -0.1957472264766693
Norm Quadratic Average: 9.938276290893555
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.376127700805664
Accuracy: 0.5145
NC1 Within Class Collapse: 12.581093788146973
NC2 Equinorm: Features: 0.06648191809654236, Weights: 0.02980628050863743
NC2 Equiangle: Features: 0.24180499712626138, Weights: 0.047624826431274414
NC3 Self-Duality: 0.3522282540798187
NC4 NCC Mismatch: 0.16749999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.153557777404785
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: 8.329994201660156
Linear Weight Rank: 180
Intra Cos: 0.014247696846723557
Inter Cos: 0.004636796191334724
Norm Quadratic Average: 14.020383834838867
Nearest Class Center Accuracy: 0.455

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.290550231933594
Linear Weight Rank: 179
Intra Cos: 0.010470880195498466
Inter Cos: 0.003193339565768838
Norm Quadratic Average: 14.050248146057129
Nearest Class Center Accuracy: 0.491

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.174715042114258
Linear Weight Rank: 180
Intra Cos: 0.009047162719070911
Inter Cos: 0.0032882820814847946
Norm Quadratic Average: 14.049866676330566
Nearest Class Center Accuracy: 0.488

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134215354919434
Linear Weight Rank: 179
Intra Cos: 0.00938508752733469
Inter Cos: 0.0015064511680975556
Norm Quadratic Average: 14.00290584564209
Nearest Class Center Accuracy: 0.518

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2920947074890137
Linear Weight Rank: 4
Intra Cos: 0.01977362111210823
Inter Cos: 0.0033027222380042076
Norm Quadratic Average: 13.991263389587402
Nearest Class Center Accuracy: 0.543

Output Layer:
Intra Cos: 0.13179071247577667
Inter Cos: 0.012002239003777504
Norm Quadratic Average: 8.357929229736328
Nearest Class Center Accuracy: 0.512

