Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.151078701019287
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.118204355239868
Linear Weight Rank: 179
Intra Cos: 0.02357136644423008
Inter Cos: -0.004796209279447794
Norm Quadratic Average: 1.8826535940170288
Nearest Class Center Accuracy: 0.56425

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.11529278755188
Linear Weight Rank: 179
Intra Cos: 0.024829385802149773
Inter Cos: -0.001838813186623156
Norm Quadratic Average: 0.27382051944732666
Nearest Class Center Accuracy: 0.541

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1357314586639404
Linear Weight Rank: 179
Intra Cos: 0.026279956102371216
Inter Cos: -0.0018646122189238667
Norm Quadratic Average: 0.04331964999437332
Nearest Class Center Accuracy: 0.52375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1215360164642334
Linear Weight Rank: 180
Intra Cos: 0.032005198299884796
Inter Cos: 0.005473535042256117
Norm Quadratic Average: 0.007436179555952549
Nearest Class Center Accuracy: 0.5085

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.47825753688812256
Linear Weight Rank: 4
Intra Cos: 0.037241507321596146
Inter Cos: 0.005265253130346537
Norm Quadratic Average: 0.0013722734292969108
Nearest Class Center Accuracy: 0.48175

Output Layer:
Intra Cos: 0.05596059560775757
Inter Cos: 0.022973766550421715
Norm Quadratic Average: 0.00015119693125598133
Nearest Class Center Accuracy: 0.464625

Test Set:
Average Loss: 1.3863593063354491
Accuracy: 0.255
NC1 Within Class Collapse: 16.949092864990234
NC2 Equinorm: Features: 0.3706749379634857, Weights: 0.0669512003660202
NC2 Equiangle: Features: 0.29583342870076496, Weights: 0.29502958059310913
NC3 Self-Duality: 1.0922050476074219
NC4 NCC Mismatch: 0.842

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.151078701019287
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 3.118204355239868
Linear Weight Rank: 179
Intra Cos: 0.022322962060570717
Inter Cos: -0.004190395120531321
Norm Quadratic Average: 1.8780999183654785
Nearest Class Center Accuracy: 0.58

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.11529278755188
Linear Weight Rank: 179
Intra Cos: 0.02414555475115776
Inter Cos: -0.0028888611122965813
Norm Quadratic Average: 0.27219417691230774
Nearest Class Center Accuracy: 0.5455

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1357314586639404
Linear Weight Rank: 179
Intra Cos: 0.025648130103945732
Inter Cos: -0.0023795668967068195
Norm Quadratic Average: 0.04303159937262535
Nearest Class Center Accuracy: 0.5245

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1215360164642334
Linear Weight Rank: 180
Intra Cos: 0.031728509813547134
Inter Cos: 0.004771269392222166
Norm Quadratic Average: 0.007367545738816261
Nearest Class Center Accuracy: 0.5185

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.47825753688812256
Linear Weight Rank: 4
Intra Cos: 0.0367148332297802
Inter Cos: 0.0038395323790609837
Norm Quadratic Average: 0.00136054668109864
Nearest Class Center Accuracy: 0.4975

Output Layer:
Intra Cos: 0.04934224486351013
Inter Cos: 0.02064705267548561
Norm Quadratic Average: 0.00014882924733683467
Nearest Class Center Accuracy: 0.485

