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_979323_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.1081061363220215
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.143011569976807
Linear Weight Rank: 180
Intra Cos: 0.0754685029387474
Inter Cos: 0.0050623673014342785
Norm Quadratic Average: 8.77963638305664
Nearest Class Center Accuracy: 0.88

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.099024295806885
Linear Weight Rank: 179
Intra Cos: 0.10973892360925674
Inter Cos: 0.007339125499129295
Norm Quadratic Average: 8.744030952453613
Nearest Class Center Accuracy: 0.9225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.108687400817871
Linear Weight Rank: 179
Intra Cos: 0.1448296159505844
Inter Cos: 0.003322335658594966
Norm Quadratic Average: 8.727368354797363
Nearest Class Center Accuracy: 0.954875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0686564445495605
Linear Weight Rank: 179
Intra Cos: 0.1847231388092041
Inter Cos: -0.0032418514601886272
Norm Quadratic Average: 8.704425811767578
Nearest Class Center Accuracy: 0.985125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.062155246734619
Linear Weight Rank: 179
Intra Cos: 0.228329598903656
Inter Cos: -0.008768843486905098
Norm Quadratic Average: 8.683012008666992
Nearest Class Center Accuracy: 0.9945

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.074604034423828
Linear Weight Rank: 180
Intra Cos: 0.29017215967178345
Inter Cos: -0.017960531637072563
Norm Quadratic Average: 8.65415096282959
Nearest Class Center Accuracy: 0.9995

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.058938503265381
Linear Weight Rank: 179
Intra Cos: 0.4319239854812622
Inter Cos: -0.06453309953212738
Norm Quadratic Average: 8.66652774810791
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6970962285995483
Linear Weight Rank: 4
Intra Cos: 0.6752867102622986
Inter Cos: -0.16406956315040588
Norm Quadratic Average: 8.83603572845459
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9822918772697449
Inter Cos: -0.2237526774406433
Norm Quadratic Average: 6.811440467834473
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2661890630722046
Accuracy: 0.903
NC1 Within Class Collapse: 0.911426305770874
NC2 Equinorm: Features: 0.018308868631720543, Weights: 0.017374709248542786
NC2 Equiangle: Features: 0.1746182640393575, Weights: 0.05849648515383402
NC3 Self-Duality: 0.1734502613544464
NC4 NCC Mismatch: 0.009000000000000008

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.1081061363220215
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.143011569976807
Linear Weight Rank: 180
Intra Cos: 0.07410930097103119
Inter Cos: 0.005284223705530167
Norm Quadratic Average: 8.77304458618164
Nearest Class Center Accuracy: 0.882

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.099024295806885
Linear Weight Rank: 179
Intra Cos: 0.10663313418626785
Inter Cos: 0.007305145263671875
Norm Quadratic Average: 8.738144874572754
Nearest Class Center Accuracy: 0.905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.108687400817871
Linear Weight Rank: 179
Intra Cos: 0.1328362375497818
Inter Cos: -0.003935879096388817
Norm Quadratic Average: 8.717893600463867
Nearest Class Center Accuracy: 0.9155

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0686564445495605
Linear Weight Rank: 179
Intra Cos: 0.16760076582431793
Inter Cos: -0.0012136460281908512
Norm Quadratic Average: 8.6951904296875
Nearest Class Center Accuracy: 0.915

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.062155246734619
Linear Weight Rank: 179
Intra Cos: 0.18912585079669952
Inter Cos: -0.001417016377672553
Norm Quadratic Average: 8.645182609558105
Nearest Class Center Accuracy: 0.9095

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.074604034423828
Linear Weight Rank: 180
Intra Cos: 0.2319987565279007
Inter Cos: -0.007538710255175829
Norm Quadratic Average: 8.537931442260742
Nearest Class Center Accuracy: 0.9135

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.058938503265381
Linear Weight Rank: 179
Intra Cos: 0.3178882598876953
Inter Cos: -0.02791593410074711
Norm Quadratic Average: 8.41152572631836
Nearest Class Center Accuracy: 0.915

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6970962285995483
Linear Weight Rank: 4
Intra Cos: 0.4790204167366028
Inter Cos: -0.0781262218952179
Norm Quadratic Average: 8.231017112731934
Nearest Class Center Accuracy: 0.909

Output Layer:
Intra Cos: 0.7414554357528687
Inter Cos: -0.11129706352949142
Norm Quadratic Average: 6.102448463439941
Nearest Class Center Accuracy: 0.9055

