Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_846264_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.955694675445557
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: 7.914258003234863
Linear Weight Rank: 179
Intra Cos: 0.0538225881755352
Inter Cos: 0.005665527191013098
Norm Quadratic Average: 4.713215351104736
Nearest Class Center Accuracy: 0.80675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.897054195404053
Linear Weight Rank: 179
Intra Cos: 0.05455154553055763
Inter Cos: 0.01100438553839922
Norm Quadratic Average: 1.6546589136123657
Nearest Class Center Accuracy: 0.717125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.870588779449463
Linear Weight Rank: 179
Intra Cos: 0.053754374384880066
Inter Cos: 0.012009374797344208
Norm Quadratic Average: 0.6170403957366943
Nearest Class Center Accuracy: 0.694125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886776924133301
Linear Weight Rank: 180
Intra Cos: 0.0560072585940361
Inter Cos: 0.007554032374173403
Norm Quadratic Average: 0.24116156995296478
Nearest Class Center Accuracy: 0.646625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.878826141357422
Linear Weight Rank: 179
Intra Cos: 0.06478621810674667
Inter Cos: 0.01833249069750309
Norm Quadratic Average: 0.09604670852422714
Nearest Class Center Accuracy: 0.627

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8854289054870605
Linear Weight Rank: 180
Intra Cos: 0.0772826224565506
Inter Cos: 0.016919471323490143
Norm Quadratic Average: 0.036480411887168884
Nearest Class Center Accuracy: 0.622125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.875237941741943
Linear Weight Rank: 179
Intra Cos: 0.08748820424079895
Inter Cos: 0.00908120721578598
Norm Quadratic Average: 0.015197482891380787
Nearest Class Center Accuracy: 0.604

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1254422664642334
Linear Weight Rank: 4
Intra Cos: 0.10611910372972488
Inter Cos: 0.009446176700294018
Norm Quadratic Average: 0.006293301470577717
Nearest Class Center Accuracy: 0.58025

Output Layer:
Intra Cos: 0.24345335364341736
Inter Cos: 0.036181237548589706
Norm Quadratic Average: 0.0008336792816407979
Nearest Class Center Accuracy: 0.598375

Test Set:
Average Loss: 1.3871717071533203
Accuracy: 0.257
NC1 Within Class Collapse: 64.1816635131836
NC2 Equinorm: Features: 0.10960535705089569, Weights: 0.048521220684051514
NC2 Equiangle: Features: 0.4368553161621094, Weights: 0.3734957774480184
NC3 Self-Duality: 1.4867503643035889
NC4 NCC Mismatch: 0.7375

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.955694675445557
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 7.914258003234863
Linear Weight Rank: 179
Intra Cos: 0.05198453739285469
Inter Cos: 0.002903352025896311
Norm Quadratic Average: 4.706183910369873
Nearest Class Center Accuracy: 0.8195

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.897054195404053
Linear Weight Rank: 179
Intra Cos: 0.05141239985823631
Inter Cos: 0.005811239592730999
Norm Quadratic Average: 1.6487064361572266
Nearest Class Center Accuracy: 0.7235

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.870588779449463
Linear Weight Rank: 179
Intra Cos: 0.048738908022642136
Inter Cos: 0.005980794318020344
Norm Quadratic Average: 0.6156829595565796
Nearest Class Center Accuracy: 0.6965

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886776924133301
Linear Weight Rank: 180
Intra Cos: 0.0524199977517128
Inter Cos: 0.010926404036581516
Norm Quadratic Average: 0.24038024246692657
Nearest Class Center Accuracy: 0.6655

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.878826141357422
Linear Weight Rank: 179
Intra Cos: 0.061290159821510315
Inter Cos: 0.022410981357097626
Norm Quadratic Average: 0.09605196863412857
Nearest Class Center Accuracy: 0.6305

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8854289054870605
Linear Weight Rank: 180
Intra Cos: 0.07344083487987518
Inter Cos: 0.01983153261244297
Norm Quadratic Average: 0.03638311102986336
Nearest Class Center Accuracy: 0.625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.875237941741943
Linear Weight Rank: 179
Intra Cos: 0.08292071521282196
Inter Cos: 0.013375269249081612
Norm Quadratic Average: 0.01513171847909689
Nearest Class Center Accuracy: 0.61

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1254422664642334
Linear Weight Rank: 4
Intra Cos: 0.10153206437826157
Inter Cos: 0.008315511047840118
Norm Quadratic Average: 0.0062495749443769455
Nearest Class Center Accuracy: 0.581

Output Layer:
Intra Cos: 0.22099068760871887
Inter Cos: 0.038359496742486954
Norm Quadratic Average: 0.0008270489051938057
Nearest Class Center Accuracy: 0.591

