Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.100069046020508
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829856101423502
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: 7.28279972076416
Linear Weight Rank: 180
Intra Cos: 0.012915476225316525
Inter Cos: 0.004632246680557728
Norm Quadratic Average: 12.240981101989746
Nearest Class Center Accuracy: 0.45925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.238208770751953
Linear Weight Rank: 179
Intra Cos: 0.01149064116179943
Inter Cos: 0.003033775370568037
Norm Quadratic Average: 12.234811782836914
Nearest Class Center Accuracy: 0.48575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1238203048706055
Linear Weight Rank: 180
Intra Cos: 0.013975976966321468
Inter Cos: 0.0025080374907702208
Norm Quadratic Average: 12.2221040725708
Nearest Class Center Accuracy: 0.568375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.079554557800293
Linear Weight Rank: 179
Intra Cos: 0.02902761660516262
Inter Cos: -0.0032308646477758884
Norm Quadratic Average: 12.185510635375977
Nearest Class Center Accuracy: 0.83875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0724575519561768
Linear Weight Rank: 4
Intra Cos: 0.14152921736240387
Inter Cos: -0.03601434454321861
Norm Quadratic Average: 12.553648948669434
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8779112696647644
Inter Cos: -0.20960164070129395
Norm Quadratic Average: 9.021306037902832
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.1583543167114256
Accuracy: 0.5155
NC1 Within Class Collapse: 12.360733032226562
NC2 Equinorm: Features: 0.06003469228744507, Weights: 0.02728835865855217
NC2 Equiangle: Features: 0.2585965394973755, Weights: 0.04286337892214457
NC3 Self-Duality: 0.2990474998950958
NC4 NCC Mismatch: 0.13149999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.100069046020508
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012289620935917
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.28279972076416
Linear Weight Rank: 180
Intra Cos: 0.014330074191093445
Inter Cos: 0.004619118291884661
Norm Quadratic Average: 12.200852394104004
Nearest Class Center Accuracy: 0.454

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.238208770751953
Linear Weight Rank: 179
Intra Cos: 0.010948201641440392
Inter Cos: 0.003302366705611348
Norm Quadratic Average: 12.225554466247559
Nearest Class Center Accuracy: 0.4875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1238203048706055
Linear Weight Rank: 180
Intra Cos: 0.00943323876708746
Inter Cos: 0.0035346029326319695
Norm Quadratic Average: 12.230817794799805
Nearest Class Center Accuracy: 0.4895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.079554557800293
Linear Weight Rank: 179
Intra Cos: 0.009857387281954288
Inter Cos: 0.001905405311845243
Norm Quadratic Average: 12.184854507446289
Nearest Class Center Accuracy: 0.516

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0724575519561768
Linear Weight Rank: 4
Intra Cos: 0.02351178601384163
Inter Cos: 0.00419201934710145
Norm Quadratic Average: 12.140032768249512
Nearest Class Center Accuracy: 0.5405

Output Layer:
Intra Cos: 0.13876217603683472
Inter Cos: 0.016111578792333603
Norm Quadratic Average: 7.507101058959961
Nearest Class Center Accuracy: 0.5165

