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_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.832974433898926
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758478581905365
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: 7.82436466217041
Linear Weight Rank: 180
Intra Cos: 0.07233969122171402
Inter Cos: 0.005488154478371143
Norm Quadratic Average: 13.432247161865234
Nearest Class Center Accuracy: 0.870375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.783873081207275
Linear Weight Rank: 179
Intra Cos: 0.1024998277425766
Inter Cos: 0.006172065623104572
Norm Quadratic Average: 13.395788192749023
Nearest Class Center Accuracy: 0.90975

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.815403938293457
Linear Weight Rank: 179
Intra Cos: 0.13032709062099457
Inter Cos: 0.009347762912511826
Norm Quadratic Average: 13.369832038879395
Nearest Class Center Accuracy: 0.9385

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.766340255737305
Linear Weight Rank: 179
Intra Cos: 0.16106119751930237
Inter Cos: -0.0027056571561843157
Norm Quadratic Average: 13.328858375549316
Nearest Class Center Accuracy: 0.97625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7638373374938965
Linear Weight Rank: 180
Intra Cos: 0.18757861852645874
Inter Cos: -7.136724889278412e-06
Norm Quadratic Average: 13.284928321838379
Nearest Class Center Accuracy: 0.9915

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.787965297698975
Linear Weight Rank: 180
Intra Cos: 0.22719573974609375
Inter Cos: -0.012413804419338703
Norm Quadratic Average: 13.312480926513672
Nearest Class Center Accuracy: 0.9985

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.765410423278809
Linear Weight Rank: 179
Intra Cos: 0.30491533875465393
Inter Cos: -0.03747197985649109
Norm Quadratic Average: 13.310225486755371
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.029287099838257
Linear Weight Rank: 4
Intra Cos: 0.46920719742774963
Inter Cos: -0.10244973003864288
Norm Quadratic Average: 13.421956062316895
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.959971010684967
Inter Cos: -0.14434415102005005
Norm Quadratic Average: 10.337470054626465
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.34166726398468017
Accuracy: 0.8885
NC1 Within Class Collapse: 1.1407424211502075
NC2 Equinorm: Features: 0.02126455120742321, Weights: 0.01719532534480095
NC2 Equiangle: Features: 0.231491486231486, Weights: 0.09261269370714824
NC3 Self-Duality: 0.23963092267513275
NC4 NCC Mismatch: 0.014000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.832974433898926
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: 7.82436466217041
Linear Weight Rank: 180
Intra Cos: 0.0708550438284874
Inter Cos: 0.004791652783751488
Norm Quadratic Average: 13.419295310974121
Nearest Class Center Accuracy: 0.876

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.783873081207275
Linear Weight Rank: 179
Intra Cos: 0.09981466084718704
Inter Cos: 0.006042915396392345
Norm Quadratic Average: 13.383758544921875
Nearest Class Center Accuracy: 0.901

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.815403938293457
Linear Weight Rank: 179
Intra Cos: 0.1199018657207489
Inter Cos: 0.0008648947114124894
Norm Quadratic Average: 13.351975440979004
Nearest Class Center Accuracy: 0.9025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.766340255737305
Linear Weight Rank: 179
Intra Cos: 0.15186533331871033
Inter Cos: -0.0002597991842776537
Norm Quadratic Average: 13.312631607055664
Nearest Class Center Accuracy: 0.908

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7638373374938965
Linear Weight Rank: 180
Intra Cos: 0.15833795070648193
Inter Cos: 0.005793520249426365
Norm Quadratic Average: 13.221325874328613
Nearest Class Center Accuracy: 0.903

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.787965297698975
Linear Weight Rank: 180
Intra Cos: 0.17814016342163086
Inter Cos: 0.0013178893132135272
Norm Quadratic Average: 13.174835205078125
Nearest Class Center Accuracy: 0.8925

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.765410423278809
Linear Weight Rank: 179
Intra Cos: 0.22343187034130096
Inter Cos: -0.0215463750064373
Norm Quadratic Average: 13.044938087463379
Nearest Class Center Accuracy: 0.895

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.029287099838257
Linear Weight Rank: 4
Intra Cos: 0.3293316662311554
Inter Cos: -0.043816857039928436
Norm Quadratic Average: 12.826772689819336
Nearest Class Center Accuracy: 0.8915

Output Layer:
Intra Cos: 0.7018440961837769
Inter Cos: -0.06487558782100677
Norm Quadratic Average: 9.4884614944458
Nearest Class Center Accuracy: 0.8915

