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_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.913046360015869
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: 7.8936920166015625
Linear Weight Rank: 180
Intra Cos: 0.029026692733168602
Inter Cos: -0.004872397053986788
Norm Quadratic Average: 13.499770164489746
Nearest Class Center Accuracy: 0.590375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.835440158843994
Linear Weight Rank: 179
Intra Cos: 0.02914680726826191
Inter Cos: -0.005931188818067312
Norm Quadratic Average: 13.467199325561523
Nearest Class Center Accuracy: 0.631125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.826257705688477
Linear Weight Rank: 180
Intra Cos: 0.03487947955727577
Inter Cos: -0.010004458948969841
Norm Quadratic Average: 13.435538291931152
Nearest Class Center Accuracy: 0.731375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.779289722442627
Linear Weight Rank: 179
Intra Cos: 0.06599387526512146
Inter Cos: -0.019192202016711235
Norm Quadratic Average: 13.394125938415527
Nearest Class Center Accuracy: 0.9335

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.7881693840026855
Linear Weight Rank: 4
Intra Cos: 0.20797023177146912
Inter Cos: -0.05768738314509392
Norm Quadratic Average: 13.657560348510742
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8539891839027405
Inter Cos: -0.17812781035900116
Norm Quadratic Average: 10.960224151611328
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0978087730407715
Accuracy: 0.724
NC1 Within Class Collapse: 3.897660255432129
NC2 Equinorm: Features: 0.07282533496618271, Weights: 0.0439768061041832
NC2 Equiangle: Features: 0.0820058782895406, Weights: 0.04610907038052877
NC3 Self-Duality: 0.1825522929430008
NC4 NCC Mismatch: 0.052000000000000046

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.913046360015869
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: 7.8936920166015625
Linear Weight Rank: 180
Intra Cos: 0.02645713835954666
Inter Cos: -0.0046654450707137585
Norm Quadratic Average: 13.514326095581055
Nearest Class Center Accuracy: 0.5935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.835440158843994
Linear Weight Rank: 179
Intra Cos: 0.02517681196331978
Inter Cos: -0.0056038592010736465
Norm Quadratic Average: 13.471087455749512
Nearest Class Center Accuracy: 0.6265

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.826257705688477
Linear Weight Rank: 180
Intra Cos: 0.02586287073791027
Inter Cos: -0.006279907189309597
Norm Quadratic Average: 13.407428741455078
Nearest Class Center Accuracy: 0.657

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.779289722442627
Linear Weight Rank: 179
Intra Cos: 0.03753386065363884
Inter Cos: -0.007699998095631599
Norm Quadratic Average: 13.313912391662598
Nearest Class Center Accuracy: 0.6975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.7881693840026855
Linear Weight Rank: 4
Intra Cos: 0.09204376488924026
Inter Cos: -0.018580444157123566
Norm Quadratic Average: 13.306485176086426
Nearest Class Center Accuracy: 0.73

Output Layer:
Intra Cos: 0.3883383870124817
Inter Cos: -0.08354558795690536
Norm Quadratic Average: 10.064234733581543
Nearest Class Center Accuracy: 0.7255

