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_265358_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.930367469787598
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 5.92911958694458
Linear Weight Rank: 180
Intra Cos: 0.07237184792757034
Inter Cos: 0.0027925162576138973
Norm Quadratic Average: 10.110782623291016
Nearest Class Center Accuracy: 0.869125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.881396770477295
Linear Weight Rank: 180
Intra Cos: 0.11214736104011536
Inter Cos: 0.004111992195248604
Norm Quadratic Average: 10.082113265991211
Nearest Class Center Accuracy: 0.926125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.879528522491455
Linear Weight Rank: 180
Intra Cos: 0.1259974092245102
Inter Cos: -0.0015572939300909638
Norm Quadratic Average: 10.07020378112793
Nearest Class Center Accuracy: 0.941375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.845834732055664
Linear Weight Rank: 179
Intra Cos: 0.15847817063331604
Inter Cos: 0.002486423822119832
Norm Quadratic Average: 10.043723106384277
Nearest Class Center Accuracy: 0.975625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.852656364440918
Linear Weight Rank: 179
Intra Cos: 0.21613408625125885
Inter Cos: -0.0007147232536226511
Norm Quadratic Average: 10.038832664489746
Nearest Class Center Accuracy: 0.993125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.831819534301758
Linear Weight Rank: 179
Intra Cos: 0.28731289505958557
Inter Cos: -0.027093367651104927
Norm Quadratic Average: 10.016982078552246
Nearest Class Center Accuracy: 0.999375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.828311443328857
Linear Weight Rank: 180
Intra Cos: 0.4142504036426544
Inter Cos: -0.06564271450042725
Norm Quadratic Average: 10.019340515136719
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7723890542984009
Linear Weight Rank: 4
Intra Cos: 0.6238799095153809
Inter Cos: -0.13707469403743744
Norm Quadratic Average: 10.181527137756348
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9752161502838135
Inter Cos: -0.16763746738433838
Norm Quadratic Average: 7.8019232749938965
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3157622289657593
Accuracy: 0.886
NC1 Within Class Collapse: 1.0074689388275146
NC2 Equinorm: Features: 0.01932760886847973, Weights: 0.047565460205078125
NC2 Equiangle: Features: 0.19441809256871542, Weights: 0.09445897738138835
NC3 Self-Duality: 0.18638387322425842
NC4 NCC Mismatch: 0.013000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.930367469787598
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: 5.92911958694458
Linear Weight Rank: 180
Intra Cos: 0.07350636273622513
Inter Cos: 0.0036293580196797848
Norm Quadratic Average: 10.092171669006348
Nearest Class Center Accuracy: 0.869

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.881396770477295
Linear Weight Rank: 180
Intra Cos: 0.1082877367734909
Inter Cos: 0.0019283692818135023
Norm Quadratic Average: 10.085526466369629
Nearest Class Center Accuracy: 0.9105

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.879528522491455
Linear Weight Rank: 180
Intra Cos: 0.11831272393465042
Inter Cos: 0.0036950306966900826
Norm Quadratic Average: 10.067185401916504
Nearest Class Center Accuracy: 0.897

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.845834732055664
Linear Weight Rank: 179
Intra Cos: 0.13973920047283173
Inter Cos: 0.0012445257743820548
Norm Quadratic Average: 10.04004192352295
Nearest Class Center Accuracy: 0.888

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.852656364440918
Linear Weight Rank: 179
Intra Cos: 0.17750591039657593
Inter Cos: -0.0033117621205747128
Norm Quadratic Average: 10.04211711883545
Nearest Class Center Accuracy: 0.895

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.831819534301758
Linear Weight Rank: 179
Intra Cos: 0.22350996732711792
Inter Cos: -0.01511385291814804
Norm Quadratic Average: 9.960376739501953
Nearest Class Center Accuracy: 0.893

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.828311443328857
Linear Weight Rank: 180
Intra Cos: 0.30449748039245605
Inter Cos: -0.024999894201755524
Norm Quadratic Average: 9.797064781188965
Nearest Class Center Accuracy: 0.8975

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7723890542984009
Linear Weight Rank: 4
Intra Cos: 0.42711520195007324
Inter Cos: -0.04841306433081627
Norm Quadratic Average: 9.613968849182129
Nearest Class Center Accuracy: 0.8915

Output Layer:
Intra Cos: 0.7219515442848206
Inter Cos: -0.0405179038643837
Norm Quadratic Average: 7.092925071716309
Nearest Class Center Accuracy: 0.8885

