Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.4365339279174805
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584878951311111
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: 6.485139846801758
Linear Weight Rank: 179
Intra Cos: 0.08067390322685242
Inter Cos: 0.006509659346193075
Norm Quadratic Average: 11.130158424377441
Nearest Class Center Accuracy: 0.871375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.478147983551025
Linear Weight Rank: 179
Intra Cos: 0.11792071163654327
Inter Cos: 0.008007127791643143
Norm Quadratic Average: 11.122018814086914
Nearest Class Center Accuracy: 0.9125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.418360233306885
Linear Weight Rank: 180
Intra Cos: 0.1490073800086975
Inter Cos: 0.0019375771516934037
Norm Quadratic Average: 11.048233985900879
Nearest Class Center Accuracy: 0.962

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.41848087310791
Linear Weight Rank: 179
Intra Cos: 0.2256896048784256
Inter Cos: -0.015497473999857903
Norm Quadratic Average: 11.013655662536621
Nearest Class Center Accuracy: 0.998875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1823737621307373
Linear Weight Rank: 4
Intra Cos: 0.43363720178604126
Inter Cos: -0.06285957992076874
Norm Quadratic Average: 11.147515296936035
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9389662146568298
Inter Cos: -0.09621252864599228
Norm Quadratic Average: 9.35195541381836
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.26166353225708006
Accuracy: 0.904
NC1 Within Class Collapse: 1.1870977878570557
NC2 Equinorm: Features: 0.02521834336221218, Weights: 0.02554953657090664
NC2 Equiangle: Features: 0.2757779161135356, Weights: 0.09383463859558105
NC3 Self-Duality: 0.19682282209396362
NC4 NCC Mismatch: 0.016000000000000014

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.4365339279174805
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 6.485139846801758
Linear Weight Rank: 179
Intra Cos: 0.08202838897705078
Inter Cos: 0.007310807704925537
Norm Quadratic Average: 11.116870880126953
Nearest Class Center Accuracy: 0.877

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.478147983551025
Linear Weight Rank: 179
Intra Cos: 0.11331183463335037
Inter Cos: 0.002551330951973796
Norm Quadratic Average: 11.149881362915039
Nearest Class Center Accuracy: 0.894

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.418360233306885
Linear Weight Rank: 180
Intra Cos: 0.1378439962863922
Inter Cos: 0.009274923242628574
Norm Quadratic Average: 11.074475288391113
Nearest Class Center Accuracy: 0.896

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.41848087310791
Linear Weight Rank: 179
Intra Cos: 0.1938774436712265
Inter Cos: -0.0112433647736907
Norm Quadratic Average: 10.981690406799316
Nearest Class Center Accuracy: 0.917

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1823737621307373
Linear Weight Rank: 4
Intra Cos: 0.33363810181617737
Inter Cos: -0.03624919801950455
Norm Quadratic Average: 10.98426628112793
Nearest Class Center Accuracy: 0.907

Output Layer:
Intra Cos: 0.7615723013877869
Inter Cos: -0.03307783976197243
Norm Quadratic Average: 9.017182350158691
Nearest Class Center Accuracy: 0.9025

