Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8142619132995605
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 7.815810680389404
Linear Weight Rank: 180
Intra Cos: 0.07426588982343674
Inter Cos: 0.0022570074070245028
Norm Quadratic Average: 13.310611724853516
Nearest Class Center Accuracy: 0.86275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768860816955566
Linear Weight Rank: 179
Intra Cos: 0.11586575210094452
Inter Cos: 0.0008930815383791924
Norm Quadratic Average: 13.304370880126953
Nearest Class Center Accuracy: 0.926625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.745407581329346
Linear Weight Rank: 180
Intra Cos: 0.15536169707775116
Inter Cos: 0.006953736301511526
Norm Quadratic Average: 13.275418281555176
Nearest Class Center Accuracy: 0.966625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.761936187744141
Linear Weight Rank: 180
Intra Cos: 0.21967121958732605
Inter Cos: 0.006642614491283894
Norm Quadratic Average: 13.269728660583496
Nearest Class Center Accuracy: 0.997625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4133098125457764
Linear Weight Rank: 4
Intra Cos: 0.3812020719051361
Inter Cos: -0.03857603296637535
Norm Quadratic Average: 13.45789623260498
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9240143299102783
Inter Cos: -0.07396787405014038
Norm Quadratic Average: 11.789957046508789
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2793229475021362
Accuracy: 0.9015
NC1 Within Class Collapse: 1.3695889711380005
NC2 Equinorm: Features: 0.03803906962275505, Weights: 0.017275428399443626
NC2 Equiangle: Features: 0.3064483404159546, Weights: 0.11417754491170247
NC3 Self-Duality: 0.2133038192987442
NC4 NCC Mismatch: 0.02300000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8142619132995605
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: 7.815810680389404
Linear Weight Rank: 180
Intra Cos: 0.07620880752801895
Inter Cos: 0.004402505233883858
Norm Quadratic Average: 13.299734115600586
Nearest Class Center Accuracy: 0.8665

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768860816955566
Linear Weight Rank: 179
Intra Cos: 0.11328999698162079
Inter Cos: 0.004972289316356182
Norm Quadratic Average: 13.305206298828125
Nearest Class Center Accuracy: 0.9045

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.745407581329346
Linear Weight Rank: 180
Intra Cos: 0.1457253396511078
Inter Cos: 0.012124275788664818
Norm Quadratic Average: 13.286062240600586
Nearest Class Center Accuracy: 0.9145

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.761936187744141
Linear Weight Rank: 180
Intra Cos: 0.18887537717819214
Inter Cos: 0.011672824621200562
Norm Quadratic Average: 13.269452095031738
Nearest Class Center Accuracy: 0.906

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4133098125457764
Linear Weight Rank: 4
Intra Cos: 0.2831614911556244
Inter Cos: -0.013999288901686668
Norm Quadratic Average: 13.279404640197754
Nearest Class Center Accuracy: 0.9095

Output Layer:
Intra Cos: 0.7311971783638
Inter Cos: -0.013327542692422867
Norm Quadratic Average: 11.400137901306152
Nearest Class Center Accuracy: 0.906

