Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.938253402709961
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 2.925969362258911
Linear Weight Rank: 180
Intra Cos: 0.06415887922048569
Inter Cos: 0.002007898408919573
Norm Quadratic Average: 1.7195241451263428
Nearest Class Center Accuracy: 0.80175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.917214870452881
Linear Weight Rank: 180
Intra Cos: 0.06667275726795197
Inter Cos: 0.017729662358760834
Norm Quadratic Average: 0.23397710919380188
Nearest Class Center Accuracy: 0.742125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.912909746170044
Linear Weight Rank: 179
Intra Cos: 0.10468680411577225
Inter Cos: 0.04268340766429901
Norm Quadratic Average: 0.037472840398550034
Nearest Class Center Accuracy: 0.703625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9213812351226807
Linear Weight Rank: 180
Intra Cos: 0.18107342720031738
Inter Cos: 0.08210799098014832
Norm Quadratic Average: 0.006738388445228338
Nearest Class Center Accuracy: 0.701

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.44544538855552673
Linear Weight Rank: 4
Intra Cos: 0.24383768439292908
Inter Cos: 0.12823012471199036
Norm Quadratic Average: 0.0013408829690888524
Nearest Class Center Accuracy: 0.696375

Output Layer:
Intra Cos: 0.40036067366600037
Inter Cos: 0.20649531483650208
Norm Quadratic Average: 0.00018046752666123211
Nearest Class Center Accuracy: 0.687

Test Set:
Average Loss: 1.3871686515808106
Accuracy: 0.257
NC1 Within Class Collapse: 41.229209899902344
NC2 Equinorm: Features: 0.2026091068983078, Weights: 0.02526639960706234
NC2 Equiangle: Features: 0.519967238108317, Weights: 0.24398529529571533
NC3 Self-Duality: 1.0602271556854248
NC4 NCC Mismatch: 0.7464999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.938253402709961
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 2.925969362258911
Linear Weight Rank: 180
Intra Cos: 0.06597970426082611
Inter Cos: 0.005659869872033596
Norm Quadratic Average: 1.716529369354248
Nearest Class Center Accuracy: 0.806

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.917214870452881
Linear Weight Rank: 180
Intra Cos: 0.06811044365167618
Inter Cos: 0.02218600921332836
Norm Quadratic Average: 0.2337149977684021
Nearest Class Center Accuracy: 0.7445

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.912909746170044
Linear Weight Rank: 179
Intra Cos: 0.10387977957725525
Inter Cos: 0.05208968743681908
Norm Quadratic Average: 0.037518151104450226
Nearest Class Center Accuracy: 0.7025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9213812351226807
Linear Weight Rank: 180
Intra Cos: 0.18067148327827454
Inter Cos: 0.09852402657270432
Norm Quadratic Average: 0.006790946703404188
Nearest Class Center Accuracy: 0.7

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.44544538855552673
Linear Weight Rank: 4
Intra Cos: 0.2446584403514862
Inter Cos: 0.15508130192756653
Norm Quadratic Average: 0.0013556983321905136
Nearest Class Center Accuracy: 0.6925

Output Layer:
Intra Cos: 0.3819199800491333
Inter Cos: 0.23976004123687744
Norm Quadratic Average: 0.00018343298870604485
Nearest Class Center Accuracy: 0.6755

