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_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.758670330047607
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771954536437988
Linear Weight Rank: 179
Intra Cos: 0.06357327848672867
Inter Cos: 0.007488273084163666
Norm Quadratic Average: 4.622916221618652
Nearest Class Center Accuracy: 0.823

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7904510498046875
Linear Weight Rank: 179
Intra Cos: 0.04798656329512596
Inter Cos: 0.004137187264859676
Norm Quadratic Average: 1.5551486015319824
Nearest Class Center Accuracy: 0.74625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.734516620635986
Linear Weight Rank: 179
Intra Cos: 0.04164709895849228
Inter Cos: 0.004947895184159279
Norm Quadratic Average: 0.5460101366043091
Nearest Class Center Accuracy: 0.659

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.743651866912842
Linear Weight Rank: 180
Intra Cos: 0.04268813133239746
Inter Cos: 0.011443337425589561
Norm Quadratic Average: 0.20246142148971558
Nearest Class Center Accuracy: 0.6125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.764186859130859
Linear Weight Rank: 179
Intra Cos: 0.04882047697901726
Inter Cos: 0.020482242107391357
Norm Quadratic Average: 0.07821203768253326
Nearest Class Center Accuracy: 0.579125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.744102954864502
Linear Weight Rank: 180
Intra Cos: 0.04880012944340706
Inter Cos: 0.026446277275681496
Norm Quadratic Average: 0.027811096981167793
Nearest Class Center Accuracy: 0.578625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7390947341918945
Linear Weight Rank: 179
Intra Cos: 0.05428048595786095
Inter Cos: 0.029729265719652176
Norm Quadratic Average: 0.011287371627986431
Nearest Class Center Accuracy: 0.551375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1435184478759766
Linear Weight Rank: 4
Intra Cos: 0.058805014938116074
Inter Cos: 0.0426090806722641
Norm Quadratic Average: 0.004553097765892744
Nearest Class Center Accuracy: 0.543875

Output Layer:
Intra Cos: 0.13548076152801514
Inter Cos: 0.12059725075960159
Norm Quadratic Average: 0.0005654946435242891
Nearest Class Center Accuracy: 0.519375

Test Set:
Average Loss: 1.387299129486084
Accuracy: 0.257
NC1 Within Class Collapse: 40.44056701660156
NC2 Equinorm: Features: 0.19583620131015778, Weights: 0.021024564281105995
NC2 Equiangle: Features: 0.5885903040568033, Weights: 0.3422756989796956
NC3 Self-Duality: 1.5435128211975098
NC4 NCC Mismatch: 0.7355

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.758670330047607
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771954536437988
Linear Weight Rank: 179
Intra Cos: 0.06331366300582886
Inter Cos: 0.009246301837265491
Norm Quadratic Average: 4.616666316986084
Nearest Class Center Accuracy: 0.824

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7904510498046875
Linear Weight Rank: 179
Intra Cos: 0.0470329113304615
Inter Cos: 0.005541538819670677
Norm Quadratic Average: 1.5553901195526123
Nearest Class Center Accuracy: 0.7545

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.734516620635986
Linear Weight Rank: 179
Intra Cos: 0.04329926148056984
Inter Cos: 0.002627138514071703
Norm Quadratic Average: 0.5455399751663208
Nearest Class Center Accuracy: 0.67

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.743651866912842
Linear Weight Rank: 180
Intra Cos: 0.043579526245594025
Inter Cos: 0.01471618376672268
Norm Quadratic Average: 0.20289063453674316
Nearest Class Center Accuracy: 0.647

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.764186859130859
Linear Weight Rank: 179
Intra Cos: 0.04857633262872696
Inter Cos: 0.02355302684009075
Norm Quadratic Average: 0.07835497707128525
Nearest Class Center Accuracy: 0.598

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.744102954864502
Linear Weight Rank: 180
Intra Cos: 0.04944903030991554
Inter Cos: 0.02838302217423916
Norm Quadratic Average: 0.02793368138372898
Nearest Class Center Accuracy: 0.5975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7390947341918945
Linear Weight Rank: 179
Intra Cos: 0.05531904473900795
Inter Cos: 0.0294562429189682
Norm Quadratic Average: 0.011351280845701694
Nearest Class Center Accuracy: 0.579

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1435184478759766
Linear Weight Rank: 4
Intra Cos: 0.05698949471116066
Inter Cos: 0.044851433485746384
Norm Quadratic Average: 0.004581307526677847
Nearest Class Center Accuracy: 0.563

Output Layer:
Intra Cos: 0.12772761285305023
Inter Cos: 0.13289248943328857
Norm Quadratic Average: 0.00057242187904194
Nearest Class Center Accuracy: 0.5305

