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_338327_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.477591037750244
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.518647193908691
Linear Weight Rank: 180
Intra Cos: 0.07238876819610596
Inter Cos: 0.003043578937649727
Norm Quadratic Average: 11.113137245178223
Nearest Class Center Accuracy: 0.856375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.466705799102783
Linear Weight Rank: 179
Intra Cos: 0.10870193690061569
Inter Cos: 0.003915973007678986
Norm Quadratic Average: 11.09537124633789
Nearest Class Center Accuracy: 0.921

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.437945365905762
Linear Weight Rank: 180
Intra Cos: 0.13529014587402344
Inter Cos: 0.009856035932898521
Norm Quadratic Average: 11.06674575805664
Nearest Class Center Accuracy: 0.944

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.4437079429626465
Linear Weight Rank: 180
Intra Cos: 0.15622647106647491
Inter Cos: 0.013130701147019863
Norm Quadratic Average: 11.041146278381348
Nearest Class Center Accuracy: 0.9685

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.442001819610596
Linear Weight Rank: 180
Intra Cos: 0.18230362236499786
Inter Cos: -0.0017103117424994707
Norm Quadratic Average: 11.008044242858887
Nearest Class Center Accuracy: 0.99125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.423085689544678
Linear Weight Rank: 180
Intra Cos: 0.24412356317043304
Inter Cos: -0.01544484868645668
Norm Quadratic Average: 10.979856491088867
Nearest Class Center Accuracy: 0.9995

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.438507556915283
Linear Weight Rank: 179
Intra Cos: 0.3428996801376343
Inter Cos: -0.05020943284034729
Norm Quadratic Average: 10.947856903076172
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8243929147720337
Linear Weight Rank: 4
Intra Cos: 0.5353080630302429
Inter Cos: -0.13031017780303955
Norm Quadratic Average: 11.101343154907227
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9733109474182129
Inter Cos: -0.1796875298023224
Norm Quadratic Average: 8.403215408325195
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3301368980407715
Accuracy: 0.8785
NC1 Within Class Collapse: 1.0830414295196533
NC2 Equinorm: Features: 0.0074452925473451614, Weights: 0.040846191346645355
NC2 Equiangle: Features: 0.21348130702972412, Weights: 0.08205452561378479
NC3 Self-Duality: 0.19666168093681335
NC4 NCC Mismatch: 0.012499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.477591037750244
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.518647193908691
Linear Weight Rank: 180
Intra Cos: 0.0743991956114769
Inter Cos: 0.00391782820224762
Norm Quadratic Average: 11.10612678527832
Nearest Class Center Accuracy: 0.854

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.466705799102783
Linear Weight Rank: 179
Intra Cos: 0.10675268620252609
Inter Cos: 0.007037456147372723
Norm Quadratic Average: 11.086996078491211
Nearest Class Center Accuracy: 0.8955

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.437945365905762
Linear Weight Rank: 180
Intra Cos: 0.12804841995239258
Inter Cos: 0.01438023243099451
Norm Quadratic Average: 11.074122428894043
Nearest Class Center Accuracy: 0.901

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.4437079429626465
Linear Weight Rank: 180
Intra Cos: 0.14734824001789093
Inter Cos: 0.017740638926625252
Norm Quadratic Average: 11.027578353881836
Nearest Class Center Accuracy: 0.8985

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.442001819610596
Linear Weight Rank: 180
Intra Cos: 0.1639476716518402
Inter Cos: 0.006956708617508411
Norm Quadratic Average: 10.94218921661377
Nearest Class Center Accuracy: 0.898

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.423085689544678
Linear Weight Rank: 180
Intra Cos: 0.19939807057380676
Inter Cos: -0.0006526936776936054
Norm Quadratic Average: 10.813937187194824
Nearest Class Center Accuracy: 0.902

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.438507556915283
Linear Weight Rank: 179
Intra Cos: 0.26174694299697876
Inter Cos: -0.019313521683216095
Norm Quadratic Average: 10.657182693481445
Nearest Class Center Accuracy: 0.8895

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8243929147720337
Linear Weight Rank: 4
Intra Cos: 0.38649022579193115
Inter Cos: -0.057852864265441895
Norm Quadratic Average: 10.456729888916016
Nearest Class Center Accuracy: 0.883

Output Layer:
Intra Cos: 0.7144608497619629
Inter Cos: -0.07850811630487442
Norm Quadratic Average: 7.59927225112915
Nearest Class Center Accuracy: 0.8835

