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_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.107208251953125
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758478581905365
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: 8.021736145019531
Linear Weight Rank: 180
Intra Cos: 0.060183022171258926
Inter Cos: 0.007337172981351614
Norm Quadratic Average: 4.8430681228637695
Nearest Class Center Accuracy: 0.83075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.01396656036377
Linear Weight Rank: 180
Intra Cos: 0.049758180975914
Inter Cos: 0.010796069167554379
Norm Quadratic Average: 1.7436167001724243
Nearest Class Center Accuracy: 0.74125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06676197052002
Linear Weight Rank: 179
Intra Cos: 0.04759616404771805
Inter Cos: 0.008308017626404762
Norm Quadratic Average: 0.6477603316307068
Nearest Class Center Accuracy: 0.655375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.02954387664795
Linear Weight Rank: 179
Intra Cos: 0.05003394931554794
Inter Cos: 0.012896016240119934
Norm Quadratic Average: 0.24713188409805298
Nearest Class Center Accuracy: 0.6245

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035246849060059
Linear Weight Rank: 180
Intra Cos: 0.06702795624732971
Inter Cos: 0.02228570729494095
Norm Quadratic Average: 0.10002763569355011
Nearest Class Center Accuracy: 0.629625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.066774368286133
Linear Weight Rank: 180
Intra Cos: 0.08149702847003937
Inter Cos: 0.03507290035486221
Norm Quadratic Average: 0.04143429175019264
Nearest Class Center Accuracy: 0.632875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046221733093262
Linear Weight Rank: 179
Intra Cos: 0.09666337817907333
Inter Cos: 0.04385465756058693
Norm Quadratic Average: 0.017534155398607254
Nearest Class Center Accuracy: 0.61875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1820200681686401
Linear Weight Rank: 4
Intra Cos: 0.10657203942537308
Inter Cos: 0.039960335940122604
Norm Quadratic Average: 0.007181152235716581
Nearest Class Center Accuracy: 0.622125

Output Layer:
Intra Cos: 0.2761440873146057
Inter Cos: 0.17196273803710938
Norm Quadratic Average: 0.00113890809006989
Nearest Class Center Accuracy: 0.610125

Test Set:
Average Loss: 1.3870360984802246
Accuracy: 0.257
NC1 Within Class Collapse: 41.91923522949219
NC2 Equinorm: Features: 0.09783139079809189, Weights: 0.019564447924494743
NC2 Equiangle: Features: 0.4344627857208252, Weights: 0.29317764441172284
NC3 Self-Duality: 1.4226775169372559
NC4 NCC Mismatch: 0.723

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.107208251953125
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: 8.021736145019531
Linear Weight Rank: 180
Intra Cos: 0.058163147419691086
Inter Cos: 0.007143768481910229
Norm Quadratic Average: 4.830750942230225
Nearest Class Center Accuracy: 0.8415

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.01396656036377
Linear Weight Rank: 180
Intra Cos: 0.04760221391916275
Inter Cos: 0.008316314779222012
Norm Quadratic Average: 1.7357434034347534
Nearest Class Center Accuracy: 0.749

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06676197052002
Linear Weight Rank: 179
Intra Cos: 0.046476103365421295
Inter Cos: 0.0052560921758413315
Norm Quadratic Average: 0.6448473334312439
Nearest Class Center Accuracy: 0.672

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.02954387664795
Linear Weight Rank: 179
Intra Cos: 0.047723688185214996
Inter Cos: 0.011539344675838947
Norm Quadratic Average: 0.24639293551445007
Nearest Class Center Accuracy: 0.6435

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035246849060059
Linear Weight Rank: 180
Intra Cos: 0.06392941623926163
Inter Cos: 0.02117881551384926
Norm Quadratic Average: 0.09955445677042007
Nearest Class Center Accuracy: 0.635

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.066774368286133
Linear Weight Rank: 180
Intra Cos: 0.07612884789705276
Inter Cos: 0.03579102084040642
Norm Quadratic Average: 0.041422925889492035
Nearest Class Center Accuracy: 0.6315

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046221733093262
Linear Weight Rank: 179
Intra Cos: 0.09431202709674835
Inter Cos: 0.04886516183614731
Norm Quadratic Average: 0.01757691614329815
Nearest Class Center Accuracy: 0.6285

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1820200681686401
Linear Weight Rank: 4
Intra Cos: 0.10153474658727646
Inter Cos: 0.04103921353816986
Norm Quadratic Average: 0.0071944002993404865
Nearest Class Center Accuracy: 0.6285

Output Layer:
Intra Cos: 0.26478275656700134
Inter Cos: 0.16383467614650726
Norm Quadratic Average: 0.0011494917562231421
Nearest Class Center Accuracy: 0.61

