Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.017325401306152
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 8.01793098449707
Linear Weight Rank: 180
Intra Cos: 0.07404825091362
Inter Cos: 0.0022513489238917828
Norm Quadratic Average: 13.656771659851074
Nearest Class Center Accuracy: 0.862375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.970373153686523
Linear Weight Rank: 179
Intra Cos: 0.11468669772148132
Inter Cos: 0.0009758393280208111
Norm Quadratic Average: 13.649932861328125
Nearest Class Center Accuracy: 0.9255

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.946761131286621
Linear Weight Rank: 180
Intra Cos: 0.1533837467432022
Inter Cos: 0.007238990161567926
Norm Quadratic Average: 13.621234893798828
Nearest Class Center Accuracy: 0.967625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.963817596435547
Linear Weight Rank: 180
Intra Cos: 0.21697425842285156
Inter Cos: 0.005964471958577633
Norm Quadratic Average: 13.615314483642578
Nearest Class Center Accuracy: 0.997375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.446560859680176
Linear Weight Rank: 4
Intra Cos: 0.3727850019931793
Inter Cos: -0.038017354905605316
Norm Quadratic Average: 13.798796653747559
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9225223064422607
Inter Cos: -0.06967775523662567
Norm Quadratic Average: 12.147969245910645
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28651424837112427
Accuracy: 0.9005
NC1 Within Class Collapse: 1.3959954977035522
NC2 Equinorm: Features: 0.04021430388092995, Weights: 0.01722390577197075
NC2 Equiangle: Features: 0.3092609445254008, Weights: 0.11581408977508545
NC3 Self-Duality: 0.21759699285030365
NC4 NCC Mismatch: 0.030000000000000027

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.017325401306152
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 8.01793098449707
Linear Weight Rank: 180
Intra Cos: 0.0759739875793457
Inter Cos: 0.0044067916460335255
Norm Quadratic Average: 13.64581298828125
Nearest Class Center Accuracy: 0.865

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.970373153686523
Linear Weight Rank: 179
Intra Cos: 0.11223965138196945
Inter Cos: 0.004873118828982115
Norm Quadratic Average: 13.650337219238281
Nearest Class Center Accuracy: 0.9025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.946761131286621
Linear Weight Rank: 180
Intra Cos: 0.14391253888607025
Inter Cos: 0.012230921536684036
Norm Quadratic Average: 13.631868362426758
Nearest Class Center Accuracy: 0.9135

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.963817596435547
Linear Weight Rank: 180
Intra Cos: 0.1865147054195404
Inter Cos: 0.01133761927485466
Norm Quadratic Average: 13.61767864227295
Nearest Class Center Accuracy: 0.906

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.446560859680176
Linear Weight Rank: 4
Intra Cos: 0.276864618062973
Inter Cos: -0.013515276834368706
Norm Quadratic Average: 13.629509925842285
Nearest Class Center Accuracy: 0.907

Output Layer:
Intra Cos: 0.7286696434020996
Inter Cos: -0.013263802975416183
Norm Quadratic Average: 11.760019302368164
Nearest Class Center Accuracy: 0.9055

