Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_846264_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.121803283691406
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.0017584878951311111
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: 8.079366683959961
Linear Weight Rank: 179
Intra Cos: 0.05384344980120659
Inter Cos: 0.00566612184047699
Norm Quadratic Average: 4.8116841316223145
Nearest Class Center Accuracy: 0.806875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.061796188354492
Linear Weight Rank: 179
Intra Cos: 0.05489640310406685
Inter Cos: 0.01107035018503666
Norm Quadratic Average: 1.7259663343429565
Nearest Class Center Accuracy: 0.718125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03472900390625
Linear Weight Rank: 179
Intra Cos: 0.05463440716266632
Inter Cos: 0.012141449376940727
Norm Quadratic Average: 0.6573931574821472
Nearest Class Center Accuracy: 0.69525

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.051193237304688
Linear Weight Rank: 180
Intra Cos: 0.05762443691492081
Inter Cos: 0.0077520254999399185
Norm Quadratic Average: 0.26255476474761963
Nearest Class Center Accuracy: 0.64975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.043054580688477
Linear Weight Rank: 179
Intra Cos: 0.06685410439968109
Inter Cos: 0.017914917320013046
Norm Quadratic Average: 0.10692327469587326
Nearest Class Center Accuracy: 0.629625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.049781799316406
Linear Weight Rank: 180
Intra Cos: 0.08160275965929031
Inter Cos: 0.017230698838829994
Norm Quadratic Average: 0.041510771960020065
Nearest Class Center Accuracy: 0.624625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039332389831543
Linear Weight Rank: 179
Intra Cos: 0.09318069368600845
Inter Cos: 0.009005934931337833
Norm Quadratic Average: 0.01773243397474289
Nearest Class Center Accuracy: 0.608375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.150136113166809
Linear Weight Rank: 4
Intra Cos: 0.11358305811882019
Inter Cos: 0.011535446159541607
Norm Quadratic Average: 0.0075683388859033585
Nearest Class Center Accuracy: 0.58875

Output Layer:
Intra Cos: 0.2548619210720062
Inter Cos: 0.03640095889568329
Norm Quadratic Average: 0.001089182449504733
Nearest Class Center Accuracy: 0.6085

Test Set:
Average Loss: 1.3870626258850098
Accuracy: 0.257
NC1 Within Class Collapse: 61.63282012939453
NC2 Equinorm: Features: 0.12244333326816559, Weights: 0.048464804887771606
NC2 Equiangle: Features: 0.4375654458999634, Weights: 0.37266838550567627
NC3 Self-Duality: 1.468110203742981
NC4 NCC Mismatch: 0.732

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.121803283691406
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 8.079366683959961
Linear Weight Rank: 179
Intra Cos: 0.052005086094141006
Inter Cos: 0.0029068640433251858
Norm Quadratic Average: 4.804506301879883
Nearest Class Center Accuracy: 0.8195

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.061796188354492
Linear Weight Rank: 179
Intra Cos: 0.05175033584237099
Inter Cos: 0.005845794919878244
Norm Quadratic Average: 1.719773530960083
Nearest Class Center Accuracy: 0.7235

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03472900390625
Linear Weight Rank: 179
Intra Cos: 0.04959483444690704
Inter Cos: 0.0060034701600670815
Norm Quadratic Average: 0.6559632420539856
Nearest Class Center Accuracy: 0.6995

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.051193237304688
Linear Weight Rank: 180
Intra Cos: 0.053889818489551544
Inter Cos: 0.011372550390660763
Norm Quadratic Average: 0.26172715425491333
Nearest Class Center Accuracy: 0.6645

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.043054580688477
Linear Weight Rank: 179
Intra Cos: 0.0631629005074501
Inter Cos: 0.022342320531606674
Norm Quadratic Average: 0.10694563388824463
Nearest Class Center Accuracy: 0.636

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.049781799316406
Linear Weight Rank: 180
Intra Cos: 0.07733315229415894
Inter Cos: 0.020430363714694977
Norm Quadratic Average: 0.04138825088739395
Nearest Class Center Accuracy: 0.6285

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039332389831543
Linear Weight Rank: 179
Intra Cos: 0.08821769803762436
Inter Cos: 0.013533462770283222
Norm Quadratic Average: 0.01765032671391964
Nearest Class Center Accuracy: 0.6165

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.150136113166809
Linear Weight Rank: 4
Intra Cos: 0.1083652526140213
Inter Cos: 0.007685743272304535
Norm Quadratic Average: 0.007514790166169405
Nearest Class Center Accuracy: 0.59

Output Layer:
Intra Cos: 0.23208653926849365
Inter Cos: 0.032666075974702835
Norm Quadratic Average: 0.0010795091511681676
Nearest Class Center Accuracy: 0.5995

