Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.284850120544434
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: 8.20702075958252
Linear Weight Rank: 179
Intra Cos: 0.013841974548995495
Inter Cos: 0.007042775861918926
Norm Quadratic Average: 4.967052459716797
Nearest Class Center Accuracy: 0.454375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.200599670410156
Linear Weight Rank: 180
Intra Cos: 0.028535204008221626
Inter Cos: 0.021101990714669228
Norm Quadratic Average: 2.2816741466522217
Nearest Class Center Accuracy: 0.465375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.25610637664795
Linear Weight Rank: 179
Intra Cos: 0.06085660308599472
Inter Cos: 0.05300943925976753
Norm Quadratic Average: 1.4115451574325562
Nearest Class Center Accuracy: 0.467

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.228226661682129
Linear Weight Rank: 180
Intra Cos: 0.0962311252951622
Inter Cos: 0.0973702073097229
Norm Quadratic Average: 1.1572186946868896
Nearest Class Center Accuracy: 0.464375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8697589635849
Linear Weight Rank: 4
Intra Cos: 0.11162888258695602
Inter Cos: 0.14041776955127716
Norm Quadratic Average: 1.1472214460372925
Nearest Class Center Accuracy: 0.453375

Output Layer:
Intra Cos: 0.11032786220312119
Inter Cos: 0.1763342022895813
Norm Quadratic Average: 1.2125037908554077
Nearest Class Center Accuracy: 0.434

Test Set:
Average Loss: 1.2125422286987304
Accuracy: 0.457
NC1 Within Class Collapse: 28.362510681152344
NC2 Equinorm: Features: 0.19433672726154327, Weights: 0.08491060137748718
NC2 Equiangle: Features: 0.6721897125244141, Weights: 0.2294978698094686
NC3 Self-Duality: 0.45475783944129944
NC4 NCC Mismatch: 0.16500000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.284850120544434
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: 8.20702075958252
Linear Weight Rank: 179
Intra Cos: 0.013313783332705498
Inter Cos: 0.0064315032213926315
Norm Quadratic Average: 4.943701267242432
Nearest Class Center Accuracy: 0.4595

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.200599670410156
Linear Weight Rank: 180
Intra Cos: 0.03022366762161255
Inter Cos: 0.021029524505138397
Norm Quadratic Average: 2.2631795406341553
Nearest Class Center Accuracy: 0.469

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.25610637664795
Linear Weight Rank: 179
Intra Cos: 0.05774177983403206
Inter Cos: 0.05346444621682167
Norm Quadratic Average: 1.3989275693893433
Nearest Class Center Accuracy: 0.4675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.228226661682129
Linear Weight Rank: 180
Intra Cos: 0.08329320698976517
Inter Cos: 0.0968412309885025
Norm Quadratic Average: 1.1452507972717285
Nearest Class Center Accuracy: 0.4515

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8697589635849
Linear Weight Rank: 4
Intra Cos: 0.09473517537117004
Inter Cos: 0.13726070523262024
Norm Quadratic Average: 1.1384060382843018
Nearest Class Center Accuracy: 0.446

Output Layer:
Intra Cos: 0.09312896430492401
Inter Cos: 0.17009806632995605
Norm Quadratic Average: 1.2078133821487427
Nearest Class Center Accuracy: 0.428

