Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_314159_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.914734840393066
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 7.995068550109863
Linear Weight Rank: 179
Intra Cos: 0.07586531341075897
Inter Cos: 0.005328526254743338
Norm Quadratic Average: 13.745207786560059
Nearest Class Center Accuracy: 0.86625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.982051849365234
Linear Weight Rank: 179
Intra Cos: 0.1010904461145401
Inter Cos: 0.00888162013143301
Norm Quadratic Average: 13.675207138061523
Nearest Class Center Accuracy: 0.912125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.907679080963135
Linear Weight Rank: 179
Intra Cos: 0.12501028180122375
Inter Cos: 0.005018844269216061
Norm Quadratic Average: 13.638550758361816
Nearest Class Center Accuracy: 0.943125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.902981758117676
Linear Weight Rank: 179
Intra Cos: 0.14534717798233032
Inter Cos: 9.587104432284832e-05
Norm Quadratic Average: 13.545327186584473
Nearest Class Center Accuracy: 0.96925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.914958477020264
Linear Weight Rank: 179
Intra Cos: 0.18185360729694366
Inter Cos: 6.225251127034426e-05
Norm Quadratic Average: 13.534482955932617
Nearest Class Center Accuracy: 0.990875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.889993190765381
Linear Weight Rank: 180
Intra Cos: 0.24193492531776428
Inter Cos: -0.009097148664295673
Norm Quadratic Average: 13.506685256958008
Nearest Class Center Accuracy: 0.999125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.881587505340576
Linear Weight Rank: 179
Intra Cos: 0.33683982491493225
Inter Cos: -0.03814627230167389
Norm Quadratic Average: 13.526983261108398
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.049586057662964
Linear Weight Rank: 4
Intra Cos: 0.4999316334724426
Inter Cos: -0.09852799028158188
Norm Quadratic Average: 13.672935485839844
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9569739103317261
Inter Cos: -0.1455107033252716
Norm Quadratic Average: 10.766754150390625
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3910649576187134
Accuracy: 0.8785
NC1 Within Class Collapse: 1.2318687438964844
NC2 Equinorm: Features: 0.016790932044386864, Weights: 0.03843008354306221
NC2 Equiangle: Features: 0.22484701871871948, Weights: 0.1362143556276957
NC3 Self-Duality: 0.2359313666820526
NC4 NCC Mismatch: 0.013499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.914734840393066
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 7.995068550109863
Linear Weight Rank: 179
Intra Cos: 0.07568980008363724
Inter Cos: 0.00650422926992178
Norm Quadratic Average: 13.726491928100586
Nearest Class Center Accuracy: 0.871

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.982051849365234
Linear Weight Rank: 179
Intra Cos: 0.09641677886247635
Inter Cos: 0.002881459891796112
Norm Quadratic Average: 13.706400871276855
Nearest Class Center Accuracy: 0.895

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.907679080963135
Linear Weight Rank: 179
Intra Cos: 0.11589276045560837
Inter Cos: 0.0029131663031876087
Norm Quadratic Average: 13.659423828125
Nearest Class Center Accuracy: 0.8995

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.902981758117676
Linear Weight Rank: 179
Intra Cos: 0.1364147663116455
Inter Cos: -0.0008852859027683735
Norm Quadratic Average: 13.58446979522705
Nearest Class Center Accuracy: 0.891

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.914958477020264
Linear Weight Rank: 179
Intra Cos: 0.15909603238105774
Inter Cos: -0.0013812175020575523
Norm Quadratic Average: 13.540748596191406
Nearest Class Center Accuracy: 0.898

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.889993190765381
Linear Weight Rank: 180
Intra Cos: 0.1939796358346939
Inter Cos: -0.006646804511547089
Norm Quadratic Average: 13.403398513793945
Nearest Class Center Accuracy: 0.896

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.881587505340576
Linear Weight Rank: 179
Intra Cos: 0.23727953433990479
Inter Cos: -0.007828343659639359
Norm Quadratic Average: 13.276042938232422
Nearest Class Center Accuracy: 0.889

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.049586057662964
Linear Weight Rank: 4
Intra Cos: 0.3369159400463104
Inter Cos: -0.047616392374038696
Norm Quadratic Average: 13.1312837600708
Nearest Class Center Accuracy: 0.883

Output Layer:
Intra Cos: 0.6921710968017578
Inter Cos: -0.03783676028251648
Norm Quadratic Average: 9.947031021118164
Nearest Class Center Accuracy: 0.8815

