Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.14407205581665
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.175836086273193
Linear Weight Rank: 179
Intra Cos: 0.02904602885246277
Inter Cos: -0.004888054449111223
Norm Quadratic Average: 8.762760162353516
Nearest Class Center Accuracy: 0.593625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.117449760437012
Linear Weight Rank: 179
Intra Cos: 0.029787933453917503
Inter Cos: -0.006077819038182497
Norm Quadratic Average: 8.736628532409668
Nearest Class Center Accuracy: 0.63925

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0901336669921875
Linear Weight Rank: 180
Intra Cos: 0.037956301122903824
Inter Cos: -0.010682922787964344
Norm Quadratic Average: 8.714970588684082
Nearest Class Center Accuracy: 0.75475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.051429271697998
Linear Weight Rank: 179
Intra Cos: 0.08776181191205978
Inter Cos: -0.026665372774004936
Norm Quadratic Average: 8.68882942199707
Nearest Class Center Accuracy: 0.97675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.327317714691162
Linear Weight Rank: 4
Intra Cos: 0.36923012137413025
Inter Cos: -0.10161842405796051
Norm Quadratic Average: 8.997394561767578
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9093701243400574
Inter Cos: -0.18735726177692413
Norm Quadratic Average: 7.702513694763184
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.8684218597412109
Accuracy: 0.7275
NC1 Within Class Collapse: 3.4649434089660645
NC2 Equinorm: Features: 0.059194765985012054, Weights: 0.0391913503408432
NC2 Equiangle: Features: 0.06411524613698323, Weights: 0.03073030710220337
NC3 Self-Duality: 0.13760903477668762
NC4 NCC Mismatch: 0.031000000000000028

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.14407205581665
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.175836086273193
Linear Weight Rank: 179
Intra Cos: 0.026431120932102203
Inter Cos: -0.004620307590812445
Norm Quadratic Average: 8.772381782531738
Nearest Class Center Accuracy: 0.5905

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.117449760437012
Linear Weight Rank: 179
Intra Cos: 0.025687048211693764
Inter Cos: -0.005754449870437384
Norm Quadratic Average: 8.741722106933594
Nearest Class Center Accuracy: 0.631

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0901336669921875
Linear Weight Rank: 180
Intra Cos: 0.02707018330693245
Inter Cos: -0.0061713410541415215
Norm Quadratic Average: 8.702702522277832
Nearest Class Center Accuracy: 0.6675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.051429271697998
Linear Weight Rank: 179
Intra Cos: 0.045951299369335175
Inter Cos: -0.008910589851439
Norm Quadratic Average: 8.612452507019043
Nearest Class Center Accuracy: 0.721

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.327317714691162
Linear Weight Rank: 4
Intra Cos: 0.15248315036296844
Inter Cos: -0.03272806853055954
Norm Quadratic Average: 8.557049751281738
Nearest Class Center Accuracy: 0.729

Output Layer:
Intra Cos: 0.41528037190437317
Inter Cos: -0.09932969510555267
Norm Quadratic Average: 6.8546528816223145
Nearest Class Center Accuracy: 0.725

