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_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.874263763427734
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.955705642700195
Linear Weight Rank: 179
Intra Cos: 0.012439515441656113
Inter Cos: 0.005511989817023277
Norm Quadratic Average: 13.466055870056152
Nearest Class Center Accuracy: 0.460375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.89094877243042
Linear Weight Rank: 179
Intra Cos: 0.010727974586188793
Inter Cos: 0.004160350188612938
Norm Quadratic Average: 13.43291187286377
Nearest Class Center Accuracy: 0.481375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883030891418457
Linear Weight Rank: 180
Intra Cos: 0.011993525549769402
Inter Cos: -0.000308601011056453
Norm Quadratic Average: 13.373673439025879
Nearest Class Center Accuracy: 0.55425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.793340682983398
Linear Weight Rank: 179
Intra Cos: 0.02546044811606407
Inter Cos: -0.003192920470610261
Norm Quadratic Average: 13.361106872558594
Nearest Class Center Accuracy: 0.808125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.21750807762146
Linear Weight Rank: 4
Intra Cos: 0.12421465665102005
Inter Cos: -0.023200448602437973
Norm Quadratic Average: 13.761133193969727
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8704980611801147
Inter Cos: -0.17010289430618286
Norm Quadratic Average: 9.70905590057373
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.311295707702637
Accuracy: 0.498
NC1 Within Class Collapse: 13.142938613891602
NC2 Equinorm: Features: 0.05935436487197876, Weights: 0.022233808413147926
NC2 Equiangle: Features: 0.2550041675567627, Weights: 0.03999824325243632
NC3 Self-Duality: 0.3123961389064789
NC4 NCC Mismatch: 0.139

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.874263763427734
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
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: 7.955705642700195
Linear Weight Rank: 179
Intra Cos: 0.01228198129683733
Inter Cos: 0.004863291047513485
Norm Quadratic Average: 13.407883644104004
Nearest Class Center Accuracy: 0.461

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.89094877243042
Linear Weight Rank: 179
Intra Cos: 0.010562023147940636
Inter Cos: 0.004462354350835085
Norm Quadratic Average: 13.355478286743164
Nearest Class Center Accuracy: 0.4935

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883030891418457
Linear Weight Rank: 180
Intra Cos: 0.007891296409070492
Inter Cos: 0.0012204903177917004
Norm Quadratic Average: 13.333471298217773
Nearest Class Center Accuracy: 0.5025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.793340682983398
Linear Weight Rank: 179
Intra Cos: 0.00794572476297617
Inter Cos: 0.00031193491304293275
Norm Quadratic Average: 13.30447769165039
Nearest Class Center Accuracy: 0.512

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.21750807762146
Linear Weight Rank: 4
Intra Cos: 0.01787933148443699
Inter Cos: 0.0026018372736871243
Norm Quadratic Average: 13.292034149169922
Nearest Class Center Accuracy: 0.524

Output Layer:
Intra Cos: 0.13432110846042633
Inter Cos: 0.02569699101150036
Norm Quadratic Average: 7.971348762512207
Nearest Class Center Accuracy: 0.4945

