Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_338327_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.939695835113525
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.001758486032485962
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: 7.974497318267822
Linear Weight Rank: 180
Intra Cos: 0.07071468234062195
Inter Cos: 0.0025170017033815384
Norm Quadratic Average: 13.667011260986328
Nearest Class Center Accuracy: 0.851375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.917586803436279
Linear Weight Rank: 180
Intra Cos: 0.1063191294670105
Inter Cos: 0.004357983358204365
Norm Quadratic Average: 13.61727523803711
Nearest Class Center Accuracy: 0.91675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.887080669403076
Linear Weight Rank: 180
Intra Cos: 0.13161185383796692
Inter Cos: 0.008172260597348213
Norm Quadratic Average: 13.626836776733398
Nearest Class Center Accuracy: 0.93925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.896799564361572
Linear Weight Rank: 180
Intra Cos: 0.1477527916431427
Inter Cos: 0.011395035311579704
Norm Quadratic Average: 13.609225273132324
Nearest Class Center Accuracy: 0.959375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.897332668304443
Linear Weight Rank: 180
Intra Cos: 0.17331881821155548
Inter Cos: -0.0060077691450715065
Norm Quadratic Average: 13.576834678649902
Nearest Class Center Accuracy: 0.98575

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.875544548034668
Linear Weight Rank: 180
Intra Cos: 0.2282412350177765
Inter Cos: -0.01625300571322441
Norm Quadratic Average: 13.537853240966797
Nearest Class Center Accuracy: 0.999625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8949737548828125
Linear Weight Rank: 179
Intra Cos: 0.306144654750824
Inter Cos: -0.04532589763402939
Norm Quadratic Average: 13.508662223815918
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.030423641204834
Linear Weight Rank: 4
Intra Cos: 0.4640936851501465
Inter Cos: -0.10095396637916565
Norm Quadratic Average: 13.675491333007812
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.965249240398407
Inter Cos: -0.1478666365146637
Norm Quadratic Average: 10.6865873336792
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.38781170845031737
Accuracy: 0.877
NC1 Within Class Collapse: 1.182161569595337
NC2 Equinorm: Features: 0.02561095915734768, Weights: 0.04113641381263733
NC2 Equiangle: Features: 0.23226531346638998, Weights: 0.09965379039446513
NC3 Self-Duality: 0.22438424825668335
NC4 NCC Mismatch: 0.015499999999999958

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.939695835113525
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
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: 7.974497318267822
Linear Weight Rank: 180
Intra Cos: 0.0726226270198822
Inter Cos: 0.003919461742043495
Norm Quadratic Average: 13.657075881958008
Nearest Class Center Accuracy: 0.853

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.917586803436279
Linear Weight Rank: 180
Intra Cos: 0.10464168339967728
Inter Cos: 0.006656182464212179
Norm Quadratic Average: 13.615958213806152
Nearest Class Center Accuracy: 0.889

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.887080669403076
Linear Weight Rank: 180
Intra Cos: 0.12386868894100189
Inter Cos: 0.013272034004330635
Norm Quadratic Average: 13.63933277130127
Nearest Class Center Accuracy: 0.9005

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.896799564361572
Linear Weight Rank: 180
Intra Cos: 0.13975852727890015
Inter Cos: 0.016402719542384148
Norm Quadratic Average: 13.615538597106934
Nearest Class Center Accuracy: 0.888

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.897332668304443
Linear Weight Rank: 180
Intra Cos: 0.1562783420085907
Inter Cos: 0.0010118084028363228
Norm Quadratic Average: 13.517328262329102
Nearest Class Center Accuracy: 0.8865

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.875544548034668
Linear Weight Rank: 180
Intra Cos: 0.19186344742774963
Inter Cos: -0.0038589101750403643
Norm Quadratic Average: 13.365705490112305
Nearest Class Center Accuracy: 0.8985

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8949737548828125
Linear Weight Rank: 179
Intra Cos: 0.2411261349916458
Inter Cos: -0.020689470693469048
Norm Quadratic Average: 13.238626480102539
Nearest Class Center Accuracy: 0.8905

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.030423641204834
Linear Weight Rank: 4
Intra Cos: 0.34507429599761963
Inter Cos: -0.04435507953166962
Norm Quadratic Average: 13.058589935302734
Nearest Class Center Accuracy: 0.885

Output Layer:
Intra Cos: 0.7116737365722656
Inter Cos: -0.0563211664557457
Norm Quadratic Average: 9.80549430847168
Nearest Class Center Accuracy: 0.8815

