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_979323_weight_decay_0.1.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.04622591659426689
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: 0.04573947936296463
Linear Weight Rank: 180
Intra Cos: 0.06011945381760597
Inter Cos: 0.007366794161498547
Norm Quadratic Average: 0.02761363983154297
Nearest Class Center Accuracy: 0.830875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04569534584879875
Linear Weight Rank: 180
Intra Cos: 0.046368781477212906
Inter Cos: 0.01808149740099907
Norm Quadratic Average: 6.366686284309253e-05
Nearest Class Center Accuracy: 0.725625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.045996665954589844
Linear Weight Rank: 179
Intra Cos: 0.04236988723278046
Inter Cos: 0.01915697008371353
Norm Quadratic Average: 1.4108290713465976e-07
Nearest Class Center Accuracy: 0.646375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04578549787402153
Linear Weight Rank: 180
Intra Cos: 0.9223035573959351
Inter Cos: 0.9237009882926941
Norm Quadratic Average: 1.2071977861793926e-09
Nearest Class Center Accuracy: 0.38725

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.006983574479818344
Linear Weight Rank: 4
Intra Cos: 0.9996958374977112
Inter Cos: 0.9998776912689209
Norm Quadratic Average: 1.552843631458245e-09
Nearest Class Center Accuracy: 0.238375

Output Layer:
Intra Cos: 0.9999998807907104
Inter Cos: 1.0
Norm Quadratic Average: 3.994928832184996e-08
Nearest Class Center Accuracy: 0.238375

Test Set:
Average Loss: 1.3866855430603027
Accuracy: 0.257
NC1 Within Class Collapse: 2.2118563652038574
NC2 Equinorm: Features: 0.06554842740297318, Weights: 0.03689257428050041
NC2 Equiangle: Features: 0.3627313772837321, Weights: 0.297252893447876
NC3 Self-Duality: 2.3493566513061523
NC4 NCC Mismatch: 1.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.04622591659426689
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: 0.04573947936296463
Linear Weight Rank: 180
Intra Cos: 0.05808853358030319
Inter Cos: 0.007201279513537884
Norm Quadratic Average: 0.027543194591999054
Nearest Class Center Accuracy: 0.8405

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04569534584879875
Linear Weight Rank: 180
Intra Cos: 0.042669471353292465
Inter Cos: 0.01705825887620449
Norm Quadratic Average: 6.332900375127792e-05
Nearest Class Center Accuracy: 0.7525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.045996665954589844
Linear Weight Rank: 179
Intra Cos: 0.04109909012913704
Inter Cos: 0.02048969268798828
Norm Quadratic Average: 1.4027240524683293e-07
Nearest Class Center Accuracy: 0.6725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04578549787402153
Linear Weight Rank: 180
Intra Cos: 0.4557666778564453
Inter Cos: 0.45942601561546326
Norm Quadratic Average: 4.47919507040595e-10
Nearest Class Center Accuracy: 0.49

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.006983574479818344
Linear Weight Rank: 4
Intra Cos: 0.9965416193008423
Inter Cos: 0.9986400604248047
Norm Quadratic Average: 4.4141282296017437e-10
Nearest Class Center Accuracy: 0.257

Output Layer:
Intra Cos: 1.0
Inter Cos: 1.0
Norm Quadratic Average: 2.2351740014414645e-08
Nearest Class Center Accuracy: 0.2485

