Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.03210735321045
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.379477500915527
Linear Weight Rank: 179
Intra Cos: 0.013053463771939278
Inter Cos: 0.004791324492543936
Norm Quadratic Average: 13.769362449645996
Nearest Class Center Accuracy: 0.459

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.290509223937988
Linear Weight Rank: 180
Intra Cos: 0.011872630566358566
Inter Cos: 0.0023451761808246374
Norm Quadratic Average: 13.751566886901855
Nearest Class Center Accuracy: 0.48475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.15927791595459
Linear Weight Rank: 179
Intra Cos: 0.012288810685276985
Inter Cos: 0.0028783949092030525
Norm Quadratic Average: 13.70489501953125
Nearest Class Center Accuracy: 0.515625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.104280471801758
Linear Weight Rank: 180
Intra Cos: 0.017869962379336357
Inter Cos: 0.0019610936287790537
Norm Quadratic Average: 13.706804275512695
Nearest Class Center Accuracy: 0.58125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067315101623535
Linear Weight Rank: 180
Intra Cos: 0.026435866951942444
Inter Cos: 0.00304434634745121
Norm Quadratic Average: 13.725958824157715
Nearest Class Center Accuracy: 0.698375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.000136375427246
Linear Weight Rank: 180
Intra Cos: 0.041178442537784576
Inter Cos: -0.0027131440583616495
Norm Quadratic Average: 13.73998737335205
Nearest Class Center Accuracy: 0.875875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.967702865600586
Linear Weight Rank: 180
Intra Cos: 0.09280120581388474
Inter Cos: -0.018840454518795013
Norm Quadratic Average: 13.80012035369873
Nearest Class Center Accuracy: 0.99775

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.627734661102295
Linear Weight Rank: 4
Intra Cos: 0.25891029834747314
Inter Cos: -0.07024513930082321
Norm Quadratic Average: 14.223457336425781
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9083914160728455
Inter Cos: -0.20227082073688507
Norm Quadratic Average: 11.236534118652344
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.661386032104492
Accuracy: 0.4915
NC1 Within Class Collapse: 15.748680114746094
NC2 Equinorm: Features: 0.04097742214798927, Weights: 0.04137897863984108
NC2 Equiangle: Features: 0.2799142003059387, Weights: 0.06795742114384969
NC3 Self-Duality: 0.264497309923172
NC4 NCC Mismatch: 0.09650000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.03210735321045
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.379477500915527
Linear Weight Rank: 179
Intra Cos: 0.014361230656504631
Inter Cos: 0.004739431664347649
Norm Quadratic Average: 13.71816635131836
Nearest Class Center Accuracy: 0.464

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.290509223937988
Linear Weight Rank: 180
Intra Cos: 0.011701569892466068
Inter Cos: 0.002398106036707759
Norm Quadratic Average: 13.731176376342773
Nearest Class Center Accuracy: 0.486

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.15927791595459
Linear Weight Rank: 179
Intra Cos: 0.009825157932937145
Inter Cos: 0.0029982649721205235
Norm Quadratic Average: 13.659697532653809
Nearest Class Center Accuracy: 0.4985

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.104280471801758
Linear Weight Rank: 180
Intra Cos: 0.011720428243279457
Inter Cos: 0.0020911735482513905
Norm Quadratic Average: 13.600973129272461
Nearest Class Center Accuracy: 0.5

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067315101623535
Linear Weight Rank: 180
Intra Cos: 0.012152250856161118
Inter Cos: 0.004465577658265829
Norm Quadratic Average: 13.547539710998535
Nearest Class Center Accuracy: 0.498

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.000136375427246
Linear Weight Rank: 180
Intra Cos: 0.0114301647990942
Inter Cos: 0.0043844375759363174
Norm Quadratic Average: 13.4707670211792
Nearest Class Center Accuracy: 0.514

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.967702865600586
Linear Weight Rank: 180
Intra Cos: 0.01616629585623741
Inter Cos: 0.0032954607158899307
Norm Quadratic Average: 13.190648078918457
Nearest Class Center Accuracy: 0.527

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.627734661102295
Linear Weight Rank: 4
Intra Cos: 0.030228696763515472
Inter Cos: 0.004308062139898539
Norm Quadratic Average: 12.732086181640625
Nearest Class Center Accuracy: 0.503

Output Layer:
Intra Cos: 0.11117739975452423
Inter Cos: 0.0293748639523983
Norm Quadratic Average: 8.339727401733398
Nearest Class Center Accuracy: 0.4915

