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_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.087676048278809
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: 5.321462154388428
Linear Weight Rank: 180
Intra Cos: 0.012794334441423416
Inter Cos: 0.0044761355966329575
Norm Quadratic Average: 8.747284889221191
Nearest Class Center Accuracy: 0.459375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.255521774291992
Linear Weight Rank: 180
Intra Cos: 0.011445395648479462
Inter Cos: 0.0027740830555558205
Norm Quadratic Average: 8.74101734161377
Nearest Class Center Accuracy: 0.494

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.126320838928223
Linear Weight Rank: 180
Intra Cos: 0.015086455270648003
Inter Cos: 0.002337755635380745
Norm Quadratic Average: 8.729955673217773
Nearest Class Center Accuracy: 0.596375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.06348180770874
Linear Weight Rank: 179
Intra Cos: 0.0384901724755764
Inter Cos: -0.004831406753510237
Norm Quadratic Average: 8.706012725830078
Nearest Class Center Accuracy: 0.912375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.672870397567749
Linear Weight Rank: 4
Intra Cos: 0.24750098586082458
Inter Cos: -0.06929951161146164
Norm Quadratic Average: 9.141237258911133
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9096047878265381
Inter Cos: -0.23558038473129272
Norm Quadratic Average: 7.397515773773193
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.8536918869018555
Accuracy: 0.514
NC1 Within Class Collapse: 12.782954216003418
NC2 Equinorm: Features: 0.07279045879840851, Weights: 0.02531339041888714
NC2 Equiangle: Features: 0.23304146528244019, Weights: 0.03231637676556905
NC3 Self-Duality: 0.20768165588378906
NC4 NCC Mismatch: 0.08150000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.087676048278809
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: 5.321462154388428
Linear Weight Rank: 180
Intra Cos: 0.01419958844780922
Inter Cos: 0.0044906893745064735
Norm Quadratic Average: 8.716812133789062
Nearest Class Center Accuracy: 0.46

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.255521774291992
Linear Weight Rank: 180
Intra Cos: 0.01063871756196022
Inter Cos: 0.0029933901969343424
Norm Quadratic Average: 8.733085632324219
Nearest Class Center Accuracy: 0.492

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.126320838928223
Linear Weight Rank: 180
Intra Cos: 0.009659282863140106
Inter Cos: 0.003260331926867366
Norm Quadratic Average: 8.74299144744873
Nearest Class Center Accuracy: 0.495

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.06348180770874
Linear Weight Rank: 179
Intra Cos: 0.010935017839074135
Inter Cos: 0.001855198759585619
Norm Quadratic Average: 8.687463760375977
Nearest Class Center Accuracy: 0.5255

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.672870397567749
Linear Weight Rank: 4
Intra Cos: 0.03524409234523773
Inter Cos: 0.004169915337115526
Norm Quadratic Average: 8.563897132873535
Nearest Class Center Accuracy: 0.531

Output Layer:
Intra Cos: 0.13576112687587738
Inter Cos: 0.0019427146762609482
Norm Quadratic Average: 5.933966159820557
Nearest Class Center Accuracy: 0.5145

