Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.213966369628906
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: 8.211740493774414
Linear Weight Rank: 179
Intra Cos: 0.0661270022392273
Inter Cos: 0.005431759171187878
Norm Quadratic Average: 14.092962265014648
Nearest Class Center Accuracy: 0.866125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170994758605957
Linear Weight Rank: 179
Intra Cos: 0.10369415581226349
Inter Cos: 0.003413725644350052
Norm Quadratic Average: 14.099422454833984
Nearest Class Center Accuracy: 0.92025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.129687309265137
Linear Weight Rank: 179
Intra Cos: 0.13130144774913788
Inter Cos: -0.004069971852004528
Norm Quadratic Average: 14.055550575256348
Nearest Class Center Accuracy: 0.961

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139520645141602
Linear Weight Rank: 179
Intra Cos: 0.1888660490512848
Inter Cos: -0.012133372947573662
Norm Quadratic Average: 14.000297546386719
Nearest Class Center Accuracy: 0.997375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.46799373626709
Linear Weight Rank: 4
Intra Cos: 0.3700298070907593
Inter Cos: -0.045715197920799255
Norm Quadratic Average: 14.100448608398438
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9190043210983276
Inter Cos: -0.08330218493938446
Norm Quadratic Average: 12.54304313659668
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2781395397186279
Accuracy: 0.9015
NC1 Within Class Collapse: 1.372236967086792
NC2 Equinorm: Features: 0.021898837760090828, Weights: 0.019685009494423866
NC2 Equiangle: Features: 0.295393427213033, Weights: 0.12638519207636514
NC3 Self-Duality: 0.20714107155799866
NC4 NCC Mismatch: 0.030000000000000027

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.213966369628906
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: 8.211740493774414
Linear Weight Rank: 179
Intra Cos: 0.06446414440870285
Inter Cos: 0.0017871082527562976
Norm Quadratic Average: 14.074644088745117
Nearest Class Center Accuracy: 0.8765

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170994758605957
Linear Weight Rank: 179
Intra Cos: 0.09867382049560547
Inter Cos: 0.0028797162231057882
Norm Quadratic Average: 14.079249382019043
Nearest Class Center Accuracy: 0.899

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.129687309265137
Linear Weight Rank: 179
Intra Cos: 0.11703115701675415
Inter Cos: 0.0038093121256679296
Norm Quadratic Average: 14.08171558380127
Nearest Class Center Accuracy: 0.8875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139520645141602
Linear Weight Rank: 179
Intra Cos: 0.1561061292886734
Inter Cos: -0.006453120615333319
Norm Quadratic Average: 14.018698692321777
Nearest Class Center Accuracy: 0.8985

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.46799373626709
Linear Weight Rank: 4
Intra Cos: 0.28606316447257996
Inter Cos: -0.0212508924305439
Norm Quadratic Average: 13.928789138793945
Nearest Class Center Accuracy: 0.9095

Output Layer:
Intra Cos: 0.7380140423774719
Inter Cos: -0.03094721958041191
Norm Quadratic Average: 12.12054443359375
Nearest Class Center Accuracy: 0.9105

