Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.929624319076538
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
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: 1.9329652786254883
Linear Weight Rank: 179
Intra Cos: 0.023620137944817543
Inter Cos: -0.002578976796939969
Norm Quadratic Average: 1.1471437215805054
Nearest Class Center Accuracy: 0.56825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9375669956207275
Linear Weight Rank: 179
Intra Cos: 0.0187243465334177
Inter Cos: -0.0018164936918765306
Norm Quadratic Average: 0.09676908701658249
Nearest Class Center Accuracy: 0.541125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9236721992492676
Linear Weight Rank: 179
Intra Cos: 0.016272999346256256
Inter Cos: 0.0002832217433024198
Norm Quadratic Average: 0.008935987018048763
Nearest Class Center Accuracy: 0.511375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9258925914764404
Linear Weight Rank: 180
Intra Cos: 0.01970813423395157
Inter Cos: 0.0028147371485829353
Norm Quadratic Average: 0.0008630738593637943
Nearest Class Center Accuracy: 0.498625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9310206174850464
Linear Weight Rank: 179
Intra Cos: 0.015966476872563362
Inter Cos: 0.004752813838422298
Norm Quadratic Average: 8.370642899535596e-05
Nearest Class Center Accuracy: 0.478625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.926061987876892
Linear Weight Rank: 180
Intra Cos: 0.018565520644187927
Inter Cos: 0.004119656980037689
Norm Quadratic Average: 7.663212272746023e-06
Nearest Class Center Accuracy: 0.45675

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9247785806655884
Linear Weight Rank: 179
Intra Cos: 0.02200011909008026
Inter Cos: 0.005931476596742868
Norm Quadratic Average: 7.466466627192858e-07
Nearest Class Center Accuracy: 0.443

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.28628575801849365
Linear Weight Rank: 4
Intra Cos: 0.3103117346763611
Inter Cos: 0.3159201741218567
Norm Quadratic Average: 8.492351355471328e-08
Nearest Class Center Accuracy: 0.420375

Output Layer:
Intra Cos: 0.9998632073402405
Inter Cos: 0.9998877644538879
Norm Quadratic Average: 1.1720040760110351e-07
Nearest Class Center Accuracy: 0.26575

Test Set:
Average Loss: 1.3862382202148438
Accuracy: 0.255
NC1 Within Class Collapse: 11.507978439331055
NC2 Equinorm: Features: 0.08647749572992325, Weights: 0.028709648177027702
NC2 Equiangle: Features: 0.16849706570307413, Weights: 0.33829394976298016
NC3 Self-Duality: 1.7283549308776855
NC4 NCC Mismatch: 0.766

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.929624319076538
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 1.9329652786254883
Linear Weight Rank: 179
Intra Cos: 0.023373791947960854
Inter Cos: -0.0016146567650139332
Norm Quadratic Average: 1.1502500772476196
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9375669956207275
Linear Weight Rank: 179
Intra Cos: 0.017608240246772766
Inter Cos: -0.001297162496484816
Norm Quadratic Average: 0.09685923904180527
Nearest Class Center Accuracy: 0.541

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9236721992492676
Linear Weight Rank: 179
Intra Cos: 0.015080600045621395
Inter Cos: 0.0002956626995000988
Norm Quadratic Average: 0.008947251364588737
Nearest Class Center Accuracy: 0.5275

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9258925914764404
Linear Weight Rank: 180
Intra Cos: 0.019977690652012825
Inter Cos: 0.004442024510353804
Norm Quadratic Average: 0.0008623205940239131
Nearest Class Center Accuracy: 0.5115

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9310206174850464
Linear Weight Rank: 179
Intra Cos: 0.017029443755745888
Inter Cos: 0.005413421429693699
Norm Quadratic Average: 8.36955732665956e-05
Nearest Class Center Accuracy: 0.4805

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.926061987876892
Linear Weight Rank: 180
Intra Cos: 0.019950594753026962
Inter Cos: 0.004068293608725071
Norm Quadratic Average: 7.650359293620568e-06
Nearest Class Center Accuracy: 0.4535

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9247785806655884
Linear Weight Rank: 179
Intra Cos: 0.0190841406583786
Inter Cos: 0.007185559719800949
Norm Quadratic Average: 7.439247724505549e-07
Nearest Class Center Accuracy: 0.4475

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.28628575801849365
Linear Weight Rank: 4
Intra Cos: 0.05427888035774231
Inter Cos: 0.05351664870977402
Norm Quadratic Average: 7.330766038649017e-08
Nearest Class Center Accuracy: 0.4335

Output Layer:
Intra Cos: 0.9989839196205139
Inter Cos: 0.9991504549980164
Norm Quadratic Average: 3.810552939853551e-08
Nearest Class Center Accuracy: 0.255

