Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_846264_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0493792295455933
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
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: 1.0439664125442505
Linear Weight Rank: 179
Intra Cos: 0.05405832827091217
Inter Cos: 0.005845020059496164
Norm Quadratic Average: 0.6218073964118958
Nearest Class Center Accuracy: 0.80725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0417181253433228
Linear Weight Rank: 179
Intra Cos: 0.058303896337747574
Inter Cos: 0.012408181093633175
Norm Quadratic Average: 0.03134826943278313
Nearest Class Center Accuracy: 0.721375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.038274884223938
Linear Weight Rank: 179
Intra Cos: 0.06450864672660828
Inter Cos: 0.03122858516871929
Norm Quadratic Average: 0.001752135343849659
Nearest Class Center Accuracy: 0.693375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0404067039489746
Linear Weight Rank: 180
Intra Cos: 0.07220035791397095
Inter Cos: 0.040048472583293915
Norm Quadratic Average: 9.881605365080759e-05
Nearest Class Center Accuracy: 0.671375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.14944322407245636
Linear Weight Rank: 4
Intra Cos: 0.09594971686601639
Inter Cos: 0.05676165968179703
Norm Quadratic Average: 5.532265731744701e-06
Nearest Class Center Accuracy: 0.67175

Output Layer:
Intra Cos: 0.29715022444725037
Inter Cos: 0.3213580548763275
Norm Quadratic Average: 1.3861009051652218e-07
Nearest Class Center Accuracy: 0.634

Test Set:
Average Loss: 1.3870461807250976
Accuracy: 0.257
NC1 Within Class Collapse: 54.8974609375
NC2 Equinorm: Features: 0.2029186487197876, Weights: 0.024122117087244987
NC2 Equiangle: Features: 0.4537951548894246, Weights: 0.28402241071065265
NC3 Self-Duality: 1.322779893875122
NC4 NCC Mismatch: 0.742

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0493792295455933
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 1.0439664125442505
Linear Weight Rank: 179
Intra Cos: 0.05221233516931534
Inter Cos: 0.002757250564172864
Norm Quadratic Average: 0.6208778619766235
Nearest Class Center Accuracy: 0.82

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0417181253433228
Linear Weight Rank: 179
Intra Cos: 0.055984627455472946
Inter Cos: 0.0061493972316384315
Norm Quadratic Average: 0.031220227479934692
Nearest Class Center Accuracy: 0.7235

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.038274884223938
Linear Weight Rank: 179
Intra Cos: 0.06044243276119232
Inter Cos: 0.021053289994597435
Norm Quadratic Average: 0.0017450419254601002
Nearest Class Center Accuracy: 0.6935

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0404067039489746
Linear Weight Rank: 180
Intra Cos: 0.06822586804628372
Inter Cos: 0.03066520020365715
Norm Quadratic Average: 9.831104398472235e-05
Nearest Class Center Accuracy: 0.6675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.14944322407245636
Linear Weight Rank: 4
Intra Cos: 0.0913989245891571
Inter Cos: 0.04836829751729965
Norm Quadratic Average: 5.510856226464966e-06
Nearest Class Center Accuracy: 0.6755

Output Layer:
Intra Cos: 0.22738684713840485
Inter Cos: 0.17296290397644043
Norm Quadratic Average: 1.3436002177513728e-07
Nearest Class Center Accuracy: 0.6175

