Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_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: 8.042719841003418
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: 8.060442924499512
Linear Weight Rank: 179
Intra Cos: 0.014132107608020306
Inter Cos: 0.006427206564694643
Norm Quadratic Average: 4.802303791046143
Nearest Class Center Accuracy: 0.453

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.079961776733398
Linear Weight Rank: 179
Intra Cos: 0.032699763774871826
Inter Cos: 0.02231796458363533
Norm Quadratic Average: 2.105651378631592
Nearest Class Center Accuracy: 0.463875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.025744438171387
Linear Weight Rank: 179
Intra Cos: 0.06586547195911407
Inter Cos: 0.06493236869573593
Norm Quadratic Average: 1.252475619316101
Nearest Class Center Accuracy: 0.461375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042412757873535
Linear Weight Rank: 179
Intra Cos: 0.08498533815145493
Inter Cos: 0.11564239114522934
Norm Quadratic Average: 0.9861236810684204
Nearest Class Center Accuracy: 0.447625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6763924360275269
Linear Weight Rank: 4
Intra Cos: 0.09409423917531967
Inter Cos: 0.15539509057998657
Norm Quadratic Average: 0.9450042247772217
Nearest Class Center Accuracy: 0.4345

Output Layer:
Intra Cos: 0.08743208646774292
Inter Cos: 0.18598763644695282
Norm Quadratic Average: 1.0045262575149536
Nearest Class Center Accuracy: 0.386625

Test Set:
Average Loss: 1.2519830360412598
Accuracy: 0.4305
NC1 Within Class Collapse: 33.50785827636719
NC2 Equinorm: Features: 0.264214426279068, Weights: 0.07362715899944305
NC2 Equiangle: Features: 0.8217085202534994, Weights: 0.23051977157592773
NC3 Self-Duality: 0.543738603591919
NC4 NCC Mismatch: 0.29300000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.042719841003418
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: 8.060442924499512
Linear Weight Rank: 179
Intra Cos: 0.015697360038757324
Inter Cos: 0.006538406480103731
Norm Quadratic Average: 4.786091327667236
Nearest Class Center Accuracy: 0.464

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.079961776733398
Linear Weight Rank: 179
Intra Cos: 0.03395511582493782
Inter Cos: 0.021663980558514595
Norm Quadratic Average: 2.098224639892578
Nearest Class Center Accuracy: 0.459

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.025744438171387
Linear Weight Rank: 179
Intra Cos: 0.061217207461595535
Inter Cos: 0.061751917004585266
Norm Quadratic Average: 1.2470027208328247
Nearest Class Center Accuracy: 0.457

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042412757873535
Linear Weight Rank: 179
Intra Cos: 0.07299713045358658
Inter Cos: 0.1080729216337204
Norm Quadratic Average: 0.9814409017562866
Nearest Class Center Accuracy: 0.449

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6763924360275269
Linear Weight Rank: 4
Intra Cos: 0.07363855093717575
Inter Cos: 0.1421240270137787
Norm Quadratic Average: 0.9416065812110901
Nearest Class Center Accuracy: 0.4305

Output Layer:
Intra Cos: 0.0530032180249691
Inter Cos: 0.16416309773921967
Norm Quadratic Average: 1.002023458480835
Nearest Class Center Accuracy: 0.3995

