Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.4260478019714355
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.445972442626953
Linear Weight Rank: 180
Intra Cos: 0.1296115219593048
Inter Cos: 0.002893619704991579
Norm Quadratic Average: 4.505038261413574
Nearest Class Center Accuracy: 0.9335

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.431304454803467
Linear Weight Rank: 179
Intra Cos: 0.5035094022750854
Inter Cos: 0.02443549782037735
Norm Quadratic Average: 3.4848015308380127
Nearest Class Center Accuracy: 0.97475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.432753562927246
Linear Weight Rank: 179
Intra Cos: 0.6845548152923584
Inter Cos: 0.04010197892785072
Norm Quadratic Average: 4.798515796661377
Nearest Class Center Accuracy: 0.9795

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.468792915344238
Linear Weight Rank: 179
Intra Cos: 0.7300770282745361
Inter Cos: 0.0387217178940773
Norm Quadratic Average: 7.068495273590088
Nearest Class Center Accuracy: 0.984

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.855592966079712
Linear Weight Rank: 4
Intra Cos: 0.7453305125236511
Inter Cos: 0.05329413339495659
Norm Quadratic Average: 10.128520965576172
Nearest Class Center Accuracy: 0.986

Output Layer:
Intra Cos: 0.8334797024726868
Inter Cos: 0.08515837788581848
Norm Quadratic Average: 18.281330108642578
Nearest Class Center Accuracy: 0.985875

Test Set:
Average Loss: 0.06718847012519837
Accuracy: 0.973
NC1 Within Class Collapse: 1.3037559986114502
NC2 Equinorm: Features: 0.04733835160732269, Weights: 0.04407011345028877
NC2 Equiangle: Features: 0.4307363033294678, Weights: 0.36878347396850586
NC3 Self-Duality: 0.10076363384723663
NC4 NCC Mismatch: 0.023499999999999965

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.4260478019714355
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.445972442626953
Linear Weight Rank: 180
Intra Cos: 0.13277055323123932
Inter Cos: 0.008795743808150291
Norm Quadratic Average: 4.504687309265137
Nearest Class Center Accuracy: 0.9365

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.431304454803467
Linear Weight Rank: 179
Intra Cos: 0.5145423412322998
Inter Cos: 0.0442088283598423
Norm Quadratic Average: 3.516493797302246
Nearest Class Center Accuracy: 0.9605

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.432753562927246
Linear Weight Rank: 179
Intra Cos: 0.6910224556922913
Inter Cos: 0.06336728483438492
Norm Quadratic Average: 4.848599910736084
Nearest Class Center Accuracy: 0.963

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.468792915344238
Linear Weight Rank: 179
Intra Cos: 0.7237499356269836
Inter Cos: 0.05943984165787697
Norm Quadratic Average: 7.134850978851318
Nearest Class Center Accuracy: 0.965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.855592966079712
Linear Weight Rank: 4
Intra Cos: 0.7317618131637573
Inter Cos: 0.07301585376262665
Norm Quadratic Average: 10.213114738464355
Nearest Class Center Accuracy: 0.966

Output Layer:
Intra Cos: 0.8214483857154846
Inter Cos: 0.10803258419036865
Norm Quadratic Average: 18.398204803466797
Nearest Class Center Accuracy: 0.9695

