Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_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: 7.870156288146973
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 7.86945104598999
Linear Weight Rank: 179
Intra Cos: 0.0665588527917862
Inter Cos: 0.004824012517929077
Norm Quadratic Average: 13.504590034484863
Nearest Class Center Accuracy: 0.865375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.829535484313965
Linear Weight Rank: 179
Intra Cos: 0.1046692356467247
Inter Cos: 0.0016448663081973791
Norm Quadratic Average: 13.48193073272705
Nearest Class Center Accuracy: 0.918875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789243221282959
Linear Weight Rank: 179
Intra Cos: 0.13265717029571533
Inter Cos: -0.0026624377351254225
Norm Quadratic Average: 13.449790000915527
Nearest Class Center Accuracy: 0.959625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.798384189605713
Linear Weight Rank: 179
Intra Cos: 0.19287368655204773
Inter Cos: -0.008601944893598557
Norm Quadratic Average: 13.396191596984863
Nearest Class Center Accuracy: 0.997

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.392037868499756
Linear Weight Rank: 4
Intra Cos: 0.3816439211368561
Inter Cos: -0.04805975407361984
Norm Quadratic Average: 13.505669593811035
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9162943363189697
Inter Cos: -0.08417625725269318
Norm Quadratic Average: 11.802388191223145
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2674402003288269
Accuracy: 0.8975
NC1 Within Class Collapse: 1.3515396118164062
NC2 Equinorm: Features: 0.029865801334381104, Weights: 0.019567064940929413
NC2 Equiangle: Features: 0.2911054293314616, Weights: 0.1250619888305664
NC3 Self-Duality: 0.20270472764968872
NC4 NCC Mismatch: 0.02949999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.870156288146973
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033128932118415833
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: 7.86945104598999
Linear Weight Rank: 179
Intra Cos: 0.06493876874446869
Inter Cos: 0.0023180728312581778
Norm Quadratic Average: 13.486934661865234
Nearest Class Center Accuracy: 0.869

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.829535484313965
Linear Weight Rank: 179
Intra Cos: 0.09958536177873611
Inter Cos: 0.004095320124179125
Norm Quadratic Average: 13.458902359008789
Nearest Class Center Accuracy: 0.898

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789243221282959
Linear Weight Rank: 179
Intra Cos: 0.1181974783539772
Inter Cos: 0.005104022100567818
Norm Quadratic Average: 13.473258018493652
Nearest Class Center Accuracy: 0.8895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.798384189605713
Linear Weight Rank: 179
Intra Cos: 0.15994499623775482
Inter Cos: -0.004926839377731085
Norm Quadratic Average: 13.406950950622559
Nearest Class Center Accuracy: 0.901

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.392037868499756
Linear Weight Rank: 4
Intra Cos: 0.2924901843070984
Inter Cos: -0.022597594186663628
Norm Quadratic Average: 13.338115692138672
Nearest Class Center Accuracy: 0.9095

Output Layer:
Intra Cos: 0.7355321049690247
Inter Cos: -0.03518142178654671
Norm Quadratic Average: 11.407624244689941
Nearest Class Center Accuracy: 0.9085

