Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.072524547576904
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0847883224487305
Linear Weight Rank: 179
Intra Cos: 0.012763186357915401
Inter Cos: 0.005190898198634386
Norm Quadratic Average: 4.20619535446167
Nearest Class Center Accuracy: 0.449875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.101665496826172
Linear Weight Rank: 179
Intra Cos: 0.009347407147288322
Inter Cos: 0.0024527786299586296
Norm Quadratic Average: 1.2858843803405762
Nearest Class Center Accuracy: 0.441625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.050675868988037
Linear Weight Rank: 179
Intra Cos: 0.009092550724744797
Inter Cos: 0.00036453281063586473
Norm Quadratic Average: 0.41092008352279663
Nearest Class Center Accuracy: 0.423625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0588483810424805
Linear Weight Rank: 180
Intra Cos: 0.009612341411411762
Inter Cos: 0.0017730311956256628
Norm Quadratic Average: 0.140522763133049
Nearest Class Center Accuracy: 0.4195

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.077611923217773
Linear Weight Rank: 179
Intra Cos: 0.009900005534291267
Inter Cos: 0.0028340041171759367
Norm Quadratic Average: 0.04884929582476616
Nearest Class Center Accuracy: 0.40275

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.059313774108887
Linear Weight Rank: 180
Intra Cos: 0.00966402143239975
Inter Cos: 0.0031433107797056437
Norm Quadratic Average: 0.015935715287923813
Nearest Class Center Accuracy: 0.39575

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.054670810699463
Linear Weight Rank: 179
Intra Cos: 0.00875307060778141
Inter Cos: 0.0019456289010122418
Norm Quadratic Average: 0.005851848982274532
Nearest Class Center Accuracy: 0.386375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0379307270050049
Linear Weight Rank: 4
Intra Cos: 0.009962063282728195
Inter Cos: 0.004534843377768993
Norm Quadratic Average: 0.0020655912812799215
Nearest Class Center Accuracy: 0.379875

Output Layer:
Intra Cos: 0.012727458961308002
Inter Cos: 0.024022089317440987
Norm Quadratic Average: 0.000170345971127972
Nearest Class Center Accuracy: 0.349375

Test Set:
Average Loss: 1.3836961326599122
Accuracy: 0.2695
NC1 Within Class Collapse: 76.78329467773438
NC2 Equinorm: Features: 0.17059065401554108, Weights: 0.0209400225430727
NC2 Equiangle: Features: 0.3009250561396281, Weights: 0.3452079693476359
NC3 Self-Duality: 1.7388145923614502
NC4 NCC Mismatch: 0.7484999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.072524547576904
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0847883224487305
Linear Weight Rank: 179
Intra Cos: 0.014098748564720154
Inter Cos: 0.005461457651108503
Norm Quadratic Average: 4.1934309005737305
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.101665496826172
Linear Weight Rank: 179
Intra Cos: 0.009840044192969799
Inter Cos: 0.00277668796479702
Norm Quadratic Average: 1.2858860492706299
Nearest Class Center Accuracy: 0.4435

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.050675868988037
Linear Weight Rank: 179
Intra Cos: 0.008604170754551888
Inter Cos: 0.0022604912519454956
Norm Quadratic Average: 0.4112188220024109
Nearest Class Center Accuracy: 0.4215

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0588483810424805
Linear Weight Rank: 180
Intra Cos: 0.00871321465820074
Inter Cos: 0.0039020043332129717
Norm Quadratic Average: 0.14054104685783386
Nearest Class Center Accuracy: 0.4115

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.077611923217773
Linear Weight Rank: 179
Intra Cos: 0.009271757677197456
Inter Cos: 0.0037596060428768396
Norm Quadratic Average: 0.048815492540597916
Nearest Class Center Accuracy: 0.4155

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.059313774108887
Linear Weight Rank: 180
Intra Cos: 0.00929264072328806
Inter Cos: 0.004200122319161892
Norm Quadratic Average: 0.015926051884889603
Nearest Class Center Accuracy: 0.3985

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.054670810699463
Linear Weight Rank: 179
Intra Cos: 0.008495179936289787
Inter Cos: 0.006144763436168432
Norm Quadratic Average: 0.00586352776736021
Nearest Class Center Accuracy: 0.387

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0379307270050049
Linear Weight Rank: 4
Intra Cos: 0.009065276943147182
Inter Cos: 0.005415002349764109
Norm Quadratic Average: 0.0020691975951194763
Nearest Class Center Accuracy: 0.384

Output Layer:
Intra Cos: 0.004557217005640268
Inter Cos: 0.01738046295940876
Norm Quadratic Average: 0.0001732646196614951
Nearest Class Center Accuracy: 0.34

