Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.178282260894775
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.126618385314941
Linear Weight Rank: 180
Intra Cos: 0.07640981674194336
Inter Cos: 0.0029002358205616474
Norm Quadratic Average: 12.253049850463867
Nearest Class Center Accuracy: 0.873125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.087127685546875
Linear Weight Rank: 180
Intra Cos: 0.11680680513381958
Inter Cos: 0.00243582995608449
Norm Quadratic Average: 12.230568885803223
Nearest Class Center Accuracy: 0.927625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.095822334289551
Linear Weight Rank: 180
Intra Cos: 0.14597149193286896
Inter Cos: -0.0022859955206513405
Norm Quadratic Average: 12.227018356323242
Nearest Class Center Accuracy: 0.961875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.064241409301758
Linear Weight Rank: 180
Intra Cos: 0.21598108112812042
Inter Cos: -0.013859431259334087
Norm Quadratic Average: 12.18529987335205
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2520759105682373
Linear Weight Rank: 4
Intra Cos: 0.40639033913612366
Inter Cos: -0.05826965346932411
Norm Quadratic Average: 12.307342529296875
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9273179173469543
Inter Cos: -0.09500151872634888
Norm Quadratic Average: 10.4613618850708
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.27033790016174314
Accuracy: 0.9
NC1 Within Class Collapse: 1.225612998008728
NC2 Equinorm: Features: 0.017828376963734627, Weights: 0.030099770054221153
NC2 Equiangle: Features: 0.2745846112569173, Weights: 0.10777774453163147
NC3 Self-Duality: 0.19874173402786255
NC4 NCC Mismatch: 0.01649999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.178282260894775
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.126618385314941
Linear Weight Rank: 180
Intra Cos: 0.07733563333749771
Inter Cos: 0.0029915780760347843
Norm Quadratic Average: 12.23120403289795
Nearest Class Center Accuracy: 0.873

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.087127685546875
Linear Weight Rank: 180
Intra Cos: 0.11315303295850754
Inter Cos: -0.0015592590207234025
Norm Quadratic Average: 12.260815620422363
Nearest Class Center Accuracy: 0.9115

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.095822334289551
Linear Weight Rank: 180
Intra Cos: 0.13320255279541016
Inter Cos: 0.004023104906082153
Norm Quadratic Average: 12.28004264831543
Nearest Class Center Accuracy: 0.8995

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.064241409301758
Linear Weight Rank: 180
Intra Cos: 0.18217109143733978
Inter Cos: -0.001059344969689846
Norm Quadratic Average: 12.22203254699707
Nearest Class Center Accuracy: 0.914

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2520759105682373
Linear Weight Rank: 4
Intra Cos: 0.30451247096061707
Inter Cos: -0.03404506295919418
Norm Quadratic Average: 12.182161331176758
Nearest Class Center Accuracy: 0.904

Output Layer:
Intra Cos: 0.7429094314575195
Inter Cos: -0.04391477629542351
Norm Quadratic Average: 10.123404502868652
Nearest Class Center Accuracy: 0.9025

