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_265358_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.9560890197753906
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
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: 1.9307599067687988
Linear Weight Rank: 179
Intra Cos: 0.02864956483244896
Inter Cos: -0.003979021683335304
Norm Quadratic Average: 1.1468631029129028
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9263217449188232
Linear Weight Rank: 179
Intra Cos: 0.029642678797245026
Inter Cos: -0.003204516600817442
Norm Quadratic Average: 0.10744979977607727
Nearest Class Center Accuracy: 0.534

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9322869777679443
Linear Weight Rank: 180
Intra Cos: 0.026242172345519066
Inter Cos: -0.0038870268035680056
Norm Quadratic Average: 0.009849945083260536
Nearest Class Center Accuracy: 0.525125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9255928993225098
Linear Weight Rank: 180
Intra Cos: 0.027883255854249
Inter Cos: 3.063045733142644e-05
Norm Quadratic Average: 0.00090716005070135
Nearest Class Center Accuracy: 0.501375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.930743932723999
Linear Weight Rank: 180
Intra Cos: 0.022974800318479538
Inter Cos: -0.0004049310809932649
Norm Quadratic Average: 8.767549297772348e-05
Nearest Class Center Accuracy: 0.481

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9258451461791992
Linear Weight Rank: 180
Intra Cos: 0.024857191368937492
Inter Cos: 0.004860841203480959
Norm Quadratic Average: 8.476463335682638e-06
Nearest Class Center Accuracy: 0.49075

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9256348609924316
Linear Weight Rank: 180
Intra Cos: 0.029513435438275337
Inter Cos: 0.010031601414084435
Norm Quadratic Average: 7.39214840450586e-07
Nearest Class Center Accuracy: 0.476

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.28002119064331055
Linear Weight Rank: 4
Intra Cos: 0.3336847722530365
Inter Cos: 0.32526081800460815
Norm Quadratic Average: 8.837841392050905e-08
Nearest Class Center Accuracy: 0.437125

Output Layer:
Intra Cos: 0.9994171857833862
Inter Cos: 0.9994677305221558
Norm Quadratic Average: 7.149810699047521e-08
Nearest Class Center Accuracy: 0.239125

Test Set:
Average Loss: 1.3862063293457032
Accuracy: 0.255
NC1 Within Class Collapse: 16.183382034301758
NC2 Equinorm: Features: 0.042444393038749695, Weights: 0.06638536602258682
NC2 Equiangle: Features: 0.21395774682362875, Weights: 0.30830369393030804
NC3 Self-Duality: 1.8401349782943726
NC4 NCC Mismatch: 0.7565

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.9560890197753906
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
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: 1.9307599067687988
Linear Weight Rank: 179
Intra Cos: 0.02594861201941967
Inter Cos: -0.003695338498800993
Norm Quadratic Average: 1.148514986038208
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9263217449188232
Linear Weight Rank: 179
Intra Cos: 0.027392180636525154
Inter Cos: -0.00505664199590683
Norm Quadratic Average: 0.10747624933719635
Nearest Class Center Accuracy: 0.5305

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9322869777679443
Linear Weight Rank: 180
Intra Cos: 0.02361714281141758
Inter Cos: -0.005013725720345974
Norm Quadratic Average: 0.009830135852098465
Nearest Class Center Accuracy: 0.529

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9255928993225098
Linear Weight Rank: 180
Intra Cos: 0.024146953597664833
Inter Cos: -0.0012266264529898763
Norm Quadratic Average: 0.0009030472720041871
Nearest Class Center Accuracy: 0.5075

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.930743932723999
Linear Weight Rank: 180
Intra Cos: 0.019978925585746765
Inter Cos: 0.0013682590797543526
Norm Quadratic Average: 8.743158832658082e-05
Nearest Class Center Accuracy: 0.484

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9258451461791992
Linear Weight Rank: 180
Intra Cos: 0.023150479421019554
Inter Cos: 0.006062470842152834
Norm Quadratic Average: 8.485515536449384e-06
Nearest Class Center Accuracy: 0.4775

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9256348609924316
Linear Weight Rank: 180
Intra Cos: 0.02356606535613537
Inter Cos: 0.006284644827246666
Norm Quadratic Average: 7.403941140182724e-07
Nearest Class Center Accuracy: 0.459

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.28002119064331055
Linear Weight Rank: 4
Intra Cos: 0.04504481703042984
Inter Cos: 0.04863234609365463
Norm Quadratic Average: 7.552551295475496e-08
Nearest Class Center Accuracy: 0.445

Output Layer:
Intra Cos: 0.9994228482246399
Inter Cos: 0.9995750188827515
Norm Quadratic Average: 6.549244346842897e-08
Nearest Class Center Accuracy: 0.263

