Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.102606773376465
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.0017584878951311111
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: 5.094968318939209
Linear Weight Rank: 179
Intra Cos: 0.07965507358312607
Inter Cos: 0.005721695721149445
Norm Quadratic Average: 8.759471893310547
Nearest Class Center Accuracy: 0.8875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.065308570861816
Linear Weight Rank: 179
Intra Cos: 0.1301278918981552
Inter Cos: 0.00585993193089962
Norm Quadratic Average: 8.748407363891602
Nearest Class Center Accuracy: 0.9365

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.081050395965576
Linear Weight Rank: 180
Intra Cos: 0.18862850964069366
Inter Cos: -0.0035790486726909876
Norm Quadratic Average: 8.738324165344238
Nearest Class Center Accuracy: 0.97625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0496602058410645
Linear Weight Rank: 180
Intra Cos: 0.2893999218940735
Inter Cos: -0.010969129391014576
Norm Quadratic Average: 8.713565826416016
Nearest Class Center Accuracy: 0.999875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9778023958206177
Linear Weight Rank: 4
Intra Cos: 0.5511947274208069
Inter Cos: -0.09884299337863922
Norm Quadratic Average: 8.856207847595215
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9527239203453064
Inter Cos: -0.11804918944835663
Norm Quadratic Average: 7.473578929901123
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.22254624605178833
Accuracy: 0.912
NC1 Within Class Collapse: 1.013123631477356
NC2 Equinorm: Features: 0.004938962869346142, Weights: 0.01824072003364563
NC2 Equiangle: Features: 0.2505398988723755, Weights: 0.0902111033598582
NC3 Self-Duality: 0.1675146371126175
NC4 NCC Mismatch: 0.01100000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.102606773376465
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.0033128932118415833
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.094968318939209
Linear Weight Rank: 179
Intra Cos: 0.07814091444015503
Inter Cos: 0.005976942367851734
Norm Quadratic Average: 8.750203132629395
Nearest Class Center Accuracy: 0.8935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.065308570861816
Linear Weight Rank: 179
Intra Cos: 0.12499305605888367
Inter Cos: 0.005502777174115181
Norm Quadratic Average: 8.761606216430664
Nearest Class Center Accuracy: 0.9115

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.081050395965576
Linear Weight Rank: 180
Intra Cos: 0.17162702977657318
Inter Cos: 0.005760436411947012
Norm Quadratic Average: 8.764833450317383
Nearest Class Center Accuracy: 0.923

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0496602058410645
Linear Weight Rank: 180
Intra Cos: 0.244080051779747
Inter Cos: -0.006073877681046724
Norm Quadratic Average: 8.675633430480957
Nearest Class Center Accuracy: 0.93

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9778023958206177
Linear Weight Rank: 4
Intra Cos: 0.4138457179069519
Inter Cos: -0.04273221641778946
Norm Quadratic Average: 8.585670471191406
Nearest Class Center Accuracy: 0.917

Output Layer:
Intra Cos: 0.7542211413383484
Inter Cos: -0.03733861446380615
Norm Quadratic Average: 7.062097549438477
Nearest Class Center Accuracy: 0.9195

