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_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.834323883056641
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: 7.7933454513549805
Linear Weight Rank: 179
Intra Cos: 0.05381465330719948
Inter Cos: 0.005664763506501913
Norm Quadratic Average: 4.641293525695801
Nearest Class Center Accuracy: 0.80675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.776387691497803
Linear Weight Rank: 179
Intra Cos: 0.054338570684194565
Inter Cos: 0.01094819325953722
Norm Quadratic Average: 1.6037193536758423
Nearest Class Center Accuracy: 0.716625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7502760887146
Linear Weight Rank: 179
Intra Cos: 0.053186215460300446
Inter Cos: 0.0118927713483572
Norm Quadratic Average: 0.5888120532035828
Nearest Class Center Accuracy: 0.692875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.766204357147217
Linear Weight Rank: 180
Intra Cos: 0.054975226521492004
Inter Cos: 0.007508173119276762
Norm Quadratic Average: 0.2265443205833435
Nearest Class Center Accuracy: 0.644625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7583394050598145
Linear Weight Rank: 179
Intra Cos: 0.06344133615493774
Inter Cos: 0.018828855827450752
Norm Quadratic Average: 0.08882515132427216
Nearest Class Center Accuracy: 0.623

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.764789581298828
Linear Weight Rank: 180
Intra Cos: 0.07448428869247437
Inter Cos: 0.017137853428721428
Norm Quadratic Average: 0.033209528774023056
Nearest Class Center Accuracy: 0.619875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.754772186279297
Linear Weight Rank: 179
Intra Cos: 0.08374767750501633
Inter Cos: 0.009775731712579727
Norm Quadratic Average: 0.013591141439974308
Nearest Class Center Accuracy: 0.599875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.107532024383545
Linear Weight Rank: 4
Intra Cos: 0.10059363394975662
Inter Cos: 0.0067252772860229015
Norm Quadratic Average: 0.005543797742575407
Nearest Class Center Accuracy: 0.57575

Output Layer:
Intra Cos: 0.23191557824611664
Inter Cos: 0.03679748997092247
Norm Quadratic Average: 0.0006848234916105866
Nearest Class Center Accuracy: 0.5915

Test Set:
Average Loss: 1.3872349433898925
Accuracy: 0.257
NC1 Within Class Collapse: 66.48624420166016
NC2 Equinorm: Features: 0.11335398256778717, Weights: 0.04849594458937645
NC2 Equiangle: Features: 0.4365050792694092, Weights: 0.3739769458770752
NC3 Self-Duality: 1.5131138563156128
NC4 NCC Mismatch: 0.7364999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.834323883056641
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: 7.7933454513549805
Linear Weight Rank: 179
Intra Cos: 0.05197650194168091
Inter Cos: 0.0029011094011366367
Norm Quadratic Average: 4.6343674659729
Nearest Class Center Accuracy: 0.8195

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.776387691497803
Linear Weight Rank: 179
Intra Cos: 0.05120353028178215
Inter Cos: 0.005770170129835606
Norm Quadratic Average: 1.5979365110397339
Nearest Class Center Accuracy: 0.723

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7502760887146
Linear Weight Rank: 179
Intra Cos: 0.04818212613463402
Inter Cos: 0.005925141740590334
Norm Quadratic Average: 0.5875027775764465
Nearest Class Center Accuracy: 0.6965

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.766204357147217
Linear Weight Rank: 180
Intra Cos: 0.05147912725806236
Inter Cos: 0.01074217539280653
Norm Quadratic Average: 0.2257954180240631
Nearest Class Center Accuracy: 0.6645

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7583394050598145
Linear Weight Rank: 179
Intra Cos: 0.06000891700387001
Inter Cos: 0.022689081728458405
Norm Quadratic Average: 0.08881731331348419
Nearest Class Center Accuracy: 0.6295

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.764789581298828
Linear Weight Rank: 180
Intra Cos: 0.07079118490219116
Inter Cos: 0.01989595964550972
Norm Quadratic Average: 0.033125270158052444
Nearest Class Center Accuracy: 0.621

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.754772186279297
Linear Weight Rank: 179
Intra Cos: 0.07922300696372986
Inter Cos: 0.013987230136990547
Norm Quadratic Average: 0.013535434380173683
Nearest Class Center Accuracy: 0.605

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.107532024383545
Linear Weight Rank: 4
Intra Cos: 0.0960044413805008
Inter Cos: 0.010288524441421032
Norm Quadratic Average: 0.00550723634660244
Nearest Class Center Accuracy: 0.58

Output Layer:
Intra Cos: 0.21121925115585327
Inter Cos: 0.03843207657337189
Norm Quadratic Average: 0.0006790969637222588
Nearest Class Center Accuracy: 0.5885

