Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9566924571990967
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 2.9988203048706055
Linear Weight Rank: 179
Intra Cos: 0.08865229040384293
Inter Cos: 0.00546512845903635
Norm Quadratic Average: 5.03704309463501
Nearest Class Center Accuracy: 0.902

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9545536041259766
Linear Weight Rank: 179
Intra Cos: 0.15336714684963226
Inter Cos: 0.006702234968543053
Norm Quadratic Average: 5.015988349914551
Nearest Class Center Accuracy: 0.952875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9412436485290527
Linear Weight Rank: 180
Intra Cos: 0.23827813565731049
Inter Cos: -0.0040033659897744656
Norm Quadratic Average: 5.012269020080566
Nearest Class Center Accuracy: 0.989625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9169397354125977
Linear Weight Rank: 179
Intra Cos: 0.4459645450115204
Inter Cos: -0.0328960195183754
Norm Quadratic Average: 5.00452995300293
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8403621912002563
Linear Weight Rank: 4
Intra Cos: 0.8491982221603394
Inter Cos: -0.1895921379327774
Norm Quadratic Average: 5.329658508300781
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9875068068504333
Inter Cos: -0.19865062832832336
Norm Quadratic Average: 5.081940650939941
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.20076493072509766
Accuracy: 0.924
NC1 Within Class Collapse: 0.688873291015625
NC2 Equinorm: Features: 0.032597027719020844, Weights: 0.020824918523430824
NC2 Equiangle: Features: 0.18046746651331583, Weights: 0.03525890906651815
NC3 Self-Duality: 0.10134102404117584
NC4 NCC Mismatch: 0.010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9566924571990967
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9988203048706055
Linear Weight Rank: 179
Intra Cos: 0.08743809908628464
Inter Cos: 0.0051232436671853065
Norm Quadratic Average: 5.0325927734375
Nearest Class Center Accuracy: 0.9025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9545536041259766
Linear Weight Rank: 179
Intra Cos: 0.14680016040802002
Inter Cos: 0.0058770268224179745
Norm Quadratic Average: 5.028468132019043
Nearest Class Center Accuracy: 0.9285

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9412436485290527
Linear Weight Rank: 180
Intra Cos: 0.22660815715789795
Inter Cos: 0.0064654964953660965
Norm Quadratic Average: 5.030727863311768
Nearest Class Center Accuracy: 0.9365

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9169397354125977
Linear Weight Rank: 179
Intra Cos: 0.36807769536972046
Inter Cos: -0.012448037974536419
Norm Quadratic Average: 4.956581115722656
Nearest Class Center Accuracy: 0.9395

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8403621912002563
Linear Weight Rank: 4
Intra Cos: 0.6506974101066589
Inter Cos: -0.08622331917285919
Norm Quadratic Average: 4.982314109802246
Nearest Class Center Accuracy: 0.9285

Output Layer:
Intra Cos: 0.79664146900177
Inter Cos: -0.0855884924530983
Norm Quadratic Average: 4.651061534881592
Nearest Class Center Accuracy: 0.929

