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_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.125255584716797
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: 8.048919677734375
Linear Weight Rank: 179
Intra Cos: 0.013868778012692928
Inter Cos: 0.007207399234175682
Norm Quadratic Average: 4.871278762817383
Nearest Class Center Accuracy: 0.453875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042683601379395
Linear Weight Rank: 180
Intra Cos: 0.02933506853878498
Inter Cos: 0.023922037333250046
Norm Quadratic Average: 2.1968564987182617
Nearest Class Center Accuracy: 0.462375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.097150802612305
Linear Weight Rank: 179
Intra Cos: 0.06304824352264404
Inter Cos: 0.06108495965600014
Norm Quadratic Average: 1.3447223901748657
Nearest Class Center Accuracy: 0.4645

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.069947242736816
Linear Weight Rank: 180
Intra Cos: 0.0947839543223381
Inter Cos: 0.1097051128745079
Norm Quadratic Average: 1.096930742263794
Nearest Class Center Accuracy: 0.457125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8267983198165894
Linear Weight Rank: 4
Intra Cos: 0.10408401489257812
Inter Cos: 0.15338008105754852
Norm Quadratic Average: 1.0875658988952637
Nearest Class Center Accuracy: 0.442125

Output Layer:
Intra Cos: 0.09969798475503922
Inter Cos: 0.18646293878555298
Norm Quadratic Average: 1.1601316928863525
Nearest Class Center Accuracy: 0.424125

Test Set:
Average Loss: 1.2218921012878419
Accuracy: 0.449
NC1 Within Class Collapse: 29.315353393554688
NC2 Equinorm: Features: 0.2157481163740158, Weights: 0.09008057415485382
NC2 Equiangle: Features: 0.7163530985514323, Weights: 0.23799987634023032
NC3 Self-Duality: 0.47079309821128845
NC4 NCC Mismatch: 0.19299999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.125255584716797
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: 8.048919677734375
Linear Weight Rank: 179
Intra Cos: 0.013271805830299854
Inter Cos: 0.006596737075597048
Norm Quadratic Average: 4.8484344482421875
Nearest Class Center Accuracy: 0.459

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042683601379395
Linear Weight Rank: 180
Intra Cos: 0.029800496995449066
Inter Cos: 0.023793000727891922
Norm Quadratic Average: 2.179319143295288
Nearest Class Center Accuracy: 0.4685

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.097150802612305
Linear Weight Rank: 179
Intra Cos: 0.055790018290281296
Inter Cos: 0.06146887317299843
Norm Quadratic Average: 1.3333724737167358
Nearest Class Center Accuracy: 0.461

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.069947242736816
Linear Weight Rank: 180
Intra Cos: 0.07848937809467316
Inter Cos: 0.10910312831401825
Norm Quadratic Average: 1.0867555141448975
Nearest Class Center Accuracy: 0.4505

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8267983198165894
Linear Weight Rank: 4
Intra Cos: 0.08711318671703339
Inter Cos: 0.1498548984527588
Norm Quadratic Average: 1.0804311037063599
Nearest Class Center Accuracy: 0.435

Output Layer:
Intra Cos: 0.08218478411436081
Inter Cos: 0.1792220175266266
Norm Quadratic Average: 1.156618356704712
Nearest Class Center Accuracy: 0.4225

