Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.067063331604004
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 8.148735046386719
Linear Weight Rank: 179
Intra Cos: 0.07614243030548096
Inter Cos: 0.005448740907013416
Norm Quadratic Average: 14.012014389038086
Nearest Class Center Accuracy: 0.865625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13613224029541
Linear Weight Rank: 179
Intra Cos: 0.10154180228710175
Inter Cos: 0.009277966804802418
Norm Quadratic Average: 13.947831153869629
Nearest Class Center Accuracy: 0.913

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060590744018555
Linear Weight Rank: 179
Intra Cos: 0.12401212751865387
Inter Cos: 0.005250114947557449
Norm Quadratic Average: 13.899194717407227
Nearest Class Center Accuracy: 0.94025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055891990661621
Linear Weight Rank: 179
Intra Cos: 0.14733020961284637
Inter Cos: -0.0010253975633531809
Norm Quadratic Average: 13.809514999389648
Nearest Class Center Accuracy: 0.967125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.068259239196777
Linear Weight Rank: 180
Intra Cos: 0.18474440276622772
Inter Cos: 0.001130250166170299
Norm Quadratic Average: 13.800252914428711
Nearest Class Center Accuracy: 0.990375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042860984802246
Linear Weight Rank: 180
Intra Cos: 0.2381025105714798
Inter Cos: -0.005967666395008564
Norm Quadratic Average: 13.765530586242676
Nearest Class Center Accuracy: 0.999625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034286499023438
Linear Weight Rank: 179
Intra Cos: 0.33016160130500793
Inter Cos: -0.042642999440431595
Norm Quadratic Average: 13.795408248901367
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.070516586303711
Linear Weight Rank: 4
Intra Cos: 0.4893266558647156
Inter Cos: -0.09244075417518616
Norm Quadratic Average: 13.953363418579102
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9541656970977783
Inter Cos: -0.14321279525756836
Norm Quadratic Average: 10.994978904724121
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.4010033302307129
Accuracy: 0.877
NC1 Within Class Collapse: 1.240749478340149
NC2 Equinorm: Features: 0.020400092005729675, Weights: 0.03905801102519035
NC2 Equiangle: Features: 0.22772790988286337, Weights: 0.13817545771598816
NC3 Self-Duality: 0.2389213740825653
NC4 NCC Mismatch: 0.011499999999999955

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.067063331604004
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 8.148735046386719
Linear Weight Rank: 179
Intra Cos: 0.07626267522573471
Inter Cos: 0.006605255883187056
Norm Quadratic Average: 13.99011516571045
Nearest Class Center Accuracy: 0.871

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13613224029541
Linear Weight Rank: 179
Intra Cos: 0.09684561938047409
Inter Cos: 0.002982655307278037
Norm Quadratic Average: 13.966206550598145
Nearest Class Center Accuracy: 0.8965

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060590744018555
Linear Weight Rank: 179
Intra Cos: 0.11500249803066254
Inter Cos: 0.00392304128035903
Norm Quadratic Average: 13.896796226501465
Nearest Class Center Accuracy: 0.906

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055891990661621
Linear Weight Rank: 179
Intra Cos: 0.13819459080696106
Inter Cos: -0.0017856115009635687
Norm Quadratic Average: 13.818925857543945
Nearest Class Center Accuracy: 0.898

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.068259239196777
Linear Weight Rank: 180
Intra Cos: 0.15712857246398926
Inter Cos: -0.00015067437198013067
Norm Quadratic Average: 13.778951644897461
Nearest Class Center Accuracy: 0.897

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042860984802246
Linear Weight Rank: 180
Intra Cos: 0.19099101424217224
Inter Cos: -0.003160629654303193
Norm Quadratic Average: 13.641680717468262
Nearest Class Center Accuracy: 0.8915

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034286499023438
Linear Weight Rank: 179
Intra Cos: 0.2331869751214981
Inter Cos: -0.013072382658720016
Norm Quadratic Average: 13.52663803100586
Nearest Class Center Accuracy: 0.886

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.070516586303711
Linear Weight Rank: 4
Intra Cos: 0.330284059047699
Inter Cos: -0.04535387083888054
Norm Quadratic Average: 13.396003723144531
Nearest Class Center Accuracy: 0.8825

Output Layer:
Intra Cos: 0.6958978176116943
Inter Cos: -0.043708473443984985
Norm Quadratic Average: 10.172649383544922
Nearest Class Center Accuracy: 0.8785

