Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.473031997680664
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001681327819824
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.481714248657227
Linear Weight Rank: 180
Intra Cos: 0.07528398931026459
Inter Cos: 0.0014854313340038061
Norm Quadratic Average: 11.222124099731445
Nearest Class Center Accuracy: 0.865125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.438416957855225
Linear Weight Rank: 179
Intra Cos: 0.12048439681529999
Inter Cos: 0.0005814733449369669
Norm Quadratic Average: 11.196072578430176
Nearest Class Center Accuracy: 0.931

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.4163818359375
Linear Weight Rank: 180
Intra Cos: 0.16982191801071167
Inter Cos: 0.010373692959547043
Norm Quadratic Average: 11.130531311035156
Nearest Class Center Accuracy: 0.97125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.428750991821289
Linear Weight Rank: 180
Intra Cos: 0.24601823091506958
Inter Cos: 0.01220593973994255
Norm Quadratic Average: 11.079034805297852
Nearest Class Center Accuracy: 0.998625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1869723796844482
Linear Weight Rank: 4
Intra Cos: 0.4399887025356293
Inter Cos: -0.044493045657873154
Norm Quadratic Average: 11.18439769744873
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.938867449760437
Inter Cos: -0.07705802470445633
Norm Quadratic Average: 9.435952186584473
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.25764596748352053
Accuracy: 0.9065
NC1 Within Class Collapse: 1.2387659549713135
NC2 Equinorm: Features: 0.02448085881769657, Weights: 0.015292773954570293
NC2 Equiangle: Features: 0.2870381673177083, Weights: 0.10155177116394043
NC3 Self-Duality: 0.194359689950943
NC4 NCC Mismatch: 0.01749999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.473031997680664
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 6.481714248657227
Linear Weight Rank: 180
Intra Cos: 0.07716875523328781
Inter Cos: 0.004464562050998211
Norm Quadratic Average: 11.212278366088867
Nearest Class Center Accuracy: 0.8665

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.438416957855225
Linear Weight Rank: 179
Intra Cos: 0.1184493824839592
Inter Cos: 0.005044602323323488
Norm Quadratic Average: 11.196002006530762
Nearest Class Center Accuracy: 0.9085

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.4163818359375
Linear Weight Rank: 180
Intra Cos: 0.1592683643102646
Inter Cos: 0.015971234068274498
Norm Quadratic Average: 11.144452095031738
Nearest Class Center Accuracy: 0.918

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.428750991821289
Linear Weight Rank: 180
Intra Cos: 0.2081935703754425
Inter Cos: 0.016022058203816414
Norm Quadratic Average: 11.075814247131348
Nearest Class Center Accuracy: 0.9095

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1869723796844482
Linear Weight Rank: 4
Intra Cos: 0.32907575368881226
Inter Cos: -0.016512935981154442
Norm Quadratic Average: 10.984272956848145
Nearest Class Center Accuracy: 0.9085

Output Layer:
Intra Cos: 0.7505649924278259
Inter Cos: -0.0052712298929691315
Norm Quadratic Average: 9.05854320526123
Nearest Class Center Accuracy: 0.9095

