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_338327_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.958732604980469
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
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: 7.993403911590576
Linear Weight Rank: 180
Intra Cos: 0.07097849994897842
Inter Cos: 0.0030048920307308435
Norm Quadratic Average: 13.658340454101562
Nearest Class Center Accuracy: 0.8545

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.936410903930664
Linear Weight Rank: 180
Intra Cos: 0.10690482705831528
Inter Cos: 0.004947149194777012
Norm Quadratic Average: 13.635972023010254
Nearest Class Center Accuracy: 0.915875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.905867099761963
Linear Weight Rank: 180
Intra Cos: 0.12996375560760498
Inter Cos: 0.008657519705593586
Norm Quadratic Average: 13.610920906066895
Nearest Class Center Accuracy: 0.942125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.915631294250488
Linear Weight Rank: 180
Intra Cos: 0.14727552235126495
Inter Cos: 0.010970167815685272
Norm Quadratic Average: 13.577500343322754
Nearest Class Center Accuracy: 0.961375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.916189193725586
Linear Weight Rank: 180
Intra Cos: 0.1728558987379074
Inter Cos: -0.005945002660155296
Norm Quadratic Average: 13.54746150970459
Nearest Class Center Accuracy: 0.985625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.894360542297363
Linear Weight Rank: 180
Intra Cos: 0.22469490766525269
Inter Cos: -0.015155917033553123
Norm Quadratic Average: 13.522622108459473
Nearest Class Center Accuracy: 0.999375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.91384744644165
Linear Weight Rank: 179
Intra Cos: 0.29860085248947144
Inter Cos: -0.039441756904125214
Norm Quadratic Average: 13.47215461730957
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0216102600097656
Linear Weight Rank: 4
Intra Cos: 0.4481070041656494
Inter Cos: -0.10029149055480957
Norm Quadratic Average: 13.60487174987793
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9623146057128906
Inter Cos: -0.14506256580352783
Norm Quadratic Average: 10.517470359802246
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3787466831207275
Accuracy: 0.877
NC1 Within Class Collapse: 1.1939219236373901
NC2 Equinorm: Features: 0.017146263271570206, Weights: 0.040683988481760025
NC2 Equiangle: Features: 0.2338429093360901, Weights: 0.10100236535072327
NC3 Self-Duality: 0.22331184148788452
NC4 NCC Mismatch: 0.018000000000000016

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.958732604980469
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.993403911590576
Linear Weight Rank: 180
Intra Cos: 0.07298684865236282
Inter Cos: 0.003734374651685357
Norm Quadratic Average: 13.647344589233398
Nearest Class Center Accuracy: 0.852

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.936410903930664
Linear Weight Rank: 180
Intra Cos: 0.10500431805849075
Inter Cos: 0.0068215252831578255
Norm Quadratic Average: 13.633193969726562
Nearest Class Center Accuracy: 0.891

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.905867099761963
Linear Weight Rank: 180
Intra Cos: 0.12259028106927872
Inter Cos: 0.013721650466322899
Norm Quadratic Average: 13.624163627624512
Nearest Class Center Accuracy: 0.9035

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.915631294250488
Linear Weight Rank: 180
Intra Cos: 0.13967540860176086
Inter Cos: 0.015822920948266983
Norm Quadratic Average: 13.582486152648926
Nearest Class Center Accuracy: 0.8885

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.916189193725586
Linear Weight Rank: 180
Intra Cos: 0.15656816959381104
Inter Cos: -0.00017287349328398705
Norm Quadratic Average: 13.48270320892334
Nearest Class Center Accuracy: 0.8905

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.894360542297363
Linear Weight Rank: 180
Intra Cos: 0.18919652700424194
Inter Cos: -0.00491676339879632
Norm Quadratic Average: 13.344403266906738
Nearest Class Center Accuracy: 0.894

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.91384744644165
Linear Weight Rank: 179
Intra Cos: 0.23662342131137848
Inter Cos: -0.022186990827322006
Norm Quadratic Average: 13.201658248901367
Nearest Class Center Accuracy: 0.884

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0216102600097656
Linear Weight Rank: 4
Intra Cos: 0.33242854475975037
Inter Cos: -0.045937489718198776
Norm Quadratic Average: 13.011908531188965
Nearest Class Center Accuracy: 0.8845

Output Layer:
Intra Cos: 0.7145974040031433
Inter Cos: -0.06171951815485954
Norm Quadratic Average: 9.69694709777832
Nearest Class Center Accuracy: 0.877

