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_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.266162872314453
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.320828437805176
Linear Weight Rank: 180
Intra Cos: 0.012220708653330803
Inter Cos: 0.0030756595078855753
Norm Quadratic Average: 14.066656112670898
Nearest Class Center Accuracy: 0.45625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.241137504577637
Linear Weight Rank: 180
Intra Cos: 0.01155120600014925
Inter Cos: 0.002785005606710911
Norm Quadratic Average: 14.062759399414062
Nearest Class Center Accuracy: 0.490625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.20739459991455
Linear Weight Rank: 180
Intra Cos: 0.012842112220823765
Inter Cos: 0.002934579737484455
Norm Quadratic Average: 14.026556015014648
Nearest Class Center Accuracy: 0.556

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132594108581543
Linear Weight Rank: 179
Intra Cos: 0.02490806207060814
Inter Cos: -0.0003295636852271855
Norm Quadratic Average: 14.001635551452637
Nearest Class Center Accuracy: 0.7975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.278055429458618
Linear Weight Rank: 4
Intra Cos: 0.11237509548664093
Inter Cos: -0.025543799623847008
Norm Quadratic Average: 14.331931114196777
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8633845448493958
Inter Cos: -0.18628263473510742
Norm Quadratic Average: 9.954456329345703
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.375668663024902
Accuracy: 0.5175
NC1 Within Class Collapse: 12.780966758728027
NC2 Equinorm: Features: 0.038020700216293335, Weights: 0.010297718457877636
NC2 Equiangle: Features: 0.2672586441040039, Weights: 0.036348034938176475
NC3 Self-Duality: 0.34868496656417847
NC4 NCC Mismatch: 0.14900000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.266162872314453
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
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: 8.320828437805176
Linear Weight Rank: 180
Intra Cos: 0.013275657780468464
Inter Cos: 0.003140457672998309
Norm Quadratic Average: 14.04604721069336
Nearest Class Center Accuracy: 0.467

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.241137504577637
Linear Weight Rank: 180
Intra Cos: 0.011447644792497158
Inter Cos: 0.0021080346778035164
Norm Quadratic Average: 14.023837089538574
Nearest Class Center Accuracy: 0.501

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.20739459991455
Linear Weight Rank: 180
Intra Cos: 0.008934794925153255
Inter Cos: 0.002404353814199567
Norm Quadratic Average: 13.998289108276367
Nearest Class Center Accuracy: 0.506

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132594108581543
Linear Weight Rank: 179
Intra Cos: 0.008893409743905067
Inter Cos: 0.002345981542021036
Norm Quadratic Average: 13.900856018066406
Nearest Class Center Accuracy: 0.523

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.278055429458618
Linear Weight Rank: 4
Intra Cos: 0.017798133194446564
Inter Cos: 0.0030157198198139668
Norm Quadratic Average: 13.914412498474121
Nearest Class Center Accuracy: 0.5445

Output Layer:
Intra Cos: 0.13665810227394104
Inter Cos: 0.022057197988033295
Norm Quadratic Average: 8.309741973876953
Nearest Class Center Accuracy: 0.5105

