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_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.071303367614746
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: 5.160747528076172
Linear Weight Rank: 179
Intra Cos: 0.07978252321481705
Inter Cos: 0.006456274539232254
Norm Quadratic Average: 8.794703483581543
Nearest Class Center Accuracy: 0.873

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.135941028594971
Linear Weight Rank: 179
Intra Cos: 0.10725914686918259
Inter Cos: 0.009515049867331982
Norm Quadratic Average: 8.752778053283691
Nearest Class Center Accuracy: 0.91875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.078654766082764
Linear Weight Rank: 179
Intra Cos: 0.13083651661872864
Inter Cos: 0.003934813197702169
Norm Quadratic Average: 8.722966194152832
Nearest Class Center Accuracy: 0.953375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.066895484924316
Linear Weight Rank: 179
Intra Cos: 0.1671448051929474
Inter Cos: -0.00042808428406715393
Norm Quadratic Average: 8.668645858764648
Nearest Class Center Accuracy: 0.980875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.069018840789795
Linear Weight Rank: 180
Intra Cos: 0.21714623272418976
Inter Cos: 0.00037922803312540054
Norm Quadratic Average: 8.656280517578125
Nearest Class Center Accuracy: 0.994125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05034875869751
Linear Weight Rank: 180
Intra Cos: 0.3095199763774872
Inter Cos: -0.015361773781478405
Norm Quadratic Average: 8.637402534484863
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043813228607178
Linear Weight Rank: 179
Intra Cos: 0.4735165536403656
Inter Cos: -0.07815508544445038
Norm Quadratic Average: 8.668806076049805
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6973658800125122
Linear Weight Rank: 4
Intra Cos: 0.7089962363243103
Inter Cos: -0.1683790385723114
Norm Quadratic Average: 8.857336044311523
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9810272455215454
Inter Cos: -0.21814888715744019
Norm Quadratic Average: 6.907963275909424
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.33249737644195554
Accuracy: 0.885
NC1 Within Class Collapse: 1.0208814144134521
NC2 Equinorm: Features: 0.00942469947040081, Weights: 0.03452686592936516
NC2 Equiangle: Features: 0.17920835812886557, Weights: 0.08456649382909139
NC3 Self-Duality: 0.16915002465248108
NC4 NCC Mismatch: 0.010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.071303367614746
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: 5.160747528076172
Linear Weight Rank: 179
Intra Cos: 0.07914642244577408
Inter Cos: 0.007545152213424444
Norm Quadratic Average: 8.78304386138916
Nearest Class Center Accuracy: 0.88

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.135941028594971
Linear Weight Rank: 179
Intra Cos: 0.102049820125103
Inter Cos: 0.003269590437412262
Norm Quadratic Average: 8.7698392868042
Nearest Class Center Accuracy: 0.906

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.078654766082764
Linear Weight Rank: 179
Intra Cos: 0.12039103358983994
Inter Cos: -0.0009190626442432404
Norm Quadratic Average: 8.729676246643066
Nearest Class Center Accuracy: 0.9065

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.066895484924316
Linear Weight Rank: 179
Intra Cos: 0.14999791979789734
Inter Cos: -0.0012493461836129427
Norm Quadratic Average: 8.666516304016113
Nearest Class Center Accuracy: 0.908

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.069018840789795
Linear Weight Rank: 180
Intra Cos: 0.18040864169597626
Inter Cos: -0.0013646760489791632
Norm Quadratic Average: 8.615793228149414
Nearest Class Center Accuracy: 0.901

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05034875869751
Linear Weight Rank: 180
Intra Cos: 0.24524851143360138
Inter Cos: -0.012289431877434254
Norm Quadratic Average: 8.50169563293457
Nearest Class Center Accuracy: 0.901

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043813228607178
Linear Weight Rank: 179
Intra Cos: 0.3315359652042389
Inter Cos: -0.02632100135087967
Norm Quadratic Average: 8.39138412475586
Nearest Class Center Accuracy: 0.892

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6973658800125122
Linear Weight Rank: 4
Intra Cos: 0.472896933555603
Inter Cos: -0.08373909443616867
Norm Quadratic Average: 8.258780479431152
Nearest Class Center Accuracy: 0.8875

Output Layer:
Intra Cos: 0.7034387588500977
Inter Cos: -0.07793986052274704
Norm Quadratic Average: 6.210685729980469
Nearest Class Center Accuracy: 0.8865

