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_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.127440452575684
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 8.119708061218262
Linear Weight Rank: 180
Intra Cos: 0.07138687372207642
Inter Cos: 0.0052923476323485374
Norm Quadratic Average: 13.989919662475586
Nearest Class Center Accuracy: 0.871375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.077736854553223
Linear Weight Rank: 179
Intra Cos: 0.09974005818367004
Inter Cos: 0.006271052174270153
Norm Quadratic Average: 13.928216934204102
Nearest Class Center Accuracy: 0.912875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109803199768066
Linear Weight Rank: 179
Intra Cos: 0.1298189014196396
Inter Cos: 0.006308261770755053
Norm Quadratic Average: 13.90886116027832
Nearest Class Center Accuracy: 0.9415

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05884838104248
Linear Weight Rank: 179
Intra Cos: 0.1615143120288849
Inter Cos: 0.0005657151341438293
Norm Quadratic Average: 13.880852699279785
Nearest Class Center Accuracy: 0.973125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.056222915649414
Linear Weight Rank: 180
Intra Cos: 0.18569070100784302
Inter Cos: -0.0030425016302615404
Norm Quadratic Average: 13.854799270629883
Nearest Class Center Accuracy: 0.988375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.081355094909668
Linear Weight Rank: 180
Intra Cos: 0.2196149080991745
Inter Cos: -0.01179061271250248
Norm Quadratic Average: 13.810677528381348
Nearest Class Center Accuracy: 0.997625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058014869689941
Linear Weight Rank: 179
Intra Cos: 0.2978512942790985
Inter Cos: -0.037840381264686584
Norm Quadratic Average: 13.812020301818848
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.063192367553711
Linear Weight Rank: 4
Intra Cos: 0.44274672865867615
Inter Cos: -0.08690273761749268
Norm Quadratic Average: 13.916266441345215
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9586227536201477
Inter Cos: -0.1378193497657776
Norm Quadratic Average: 10.686077117919922
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.35610814476013186
Accuracy: 0.8955
NC1 Within Class Collapse: 1.1935840845108032
NC2 Equinorm: Features: 0.012422175146639347, Weights: 0.015434684231877327
NC2 Equiangle: Features: 0.23612413803736368, Weights: 0.09779288371404012
NC3 Self-Duality: 0.24637171626091003
NC4 NCC Mismatch: 0.014000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.127440452575684
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 8.119708061218262
Linear Weight Rank: 180
Intra Cos: 0.06988058239221573
Inter Cos: 0.005633883643895388
Norm Quadratic Average: 13.977328300476074
Nearest Class Center Accuracy: 0.8775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.077736854553223
Linear Weight Rank: 179
Intra Cos: 0.0977499932050705
Inter Cos: 0.006249153055250645
Norm Quadratic Average: 13.924833297729492
Nearest Class Center Accuracy: 0.8975

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109803199768066
Linear Weight Rank: 179
Intra Cos: 0.11910736560821533
Inter Cos: -0.0007572537288069725
Norm Quadratic Average: 13.914694786071777
Nearest Class Center Accuracy: 0.9055

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05884838104248
Linear Weight Rank: 179
Intra Cos: 0.14702202379703522
Inter Cos: 0.002414336893707514
Norm Quadratic Average: 13.87325668334961
Nearest Class Center Accuracy: 0.9015

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.056222915649414
Linear Weight Rank: 180
Intra Cos: 0.15629102289676666
Inter Cos: 0.0023829478304833174
Norm Quadratic Average: 13.792051315307617
Nearest Class Center Accuracy: 0.897

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.081355094909668
Linear Weight Rank: 180
Intra Cos: 0.17467175424098969
Inter Cos: -0.001324009383097291
Norm Quadratic Average: 13.667986869812012
Nearest Class Center Accuracy: 0.895

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058014869689941
Linear Weight Rank: 179
Intra Cos: 0.21927756071090698
Inter Cos: -0.017887141555547714
Norm Quadratic Average: 13.559585571289062
Nearest Class Center Accuracy: 0.9025

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.063192367553711
Linear Weight Rank: 4
Intra Cos: 0.3211767375469208
Inter Cos: -0.03667429834604263
Norm Quadratic Average: 13.384356498718262
Nearest Class Center Accuracy: 0.8975

Output Layer:
Intra Cos: 0.7071934938430786
Inter Cos: -0.05356152355670929
Norm Quadratic Average: 9.904022216796875
Nearest Class Center Accuracy: 0.897

