Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.131916046142578
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
Inter Cos: 0.001758486032485962
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: 5.112869739532471
Linear Weight Rank: 180
Intra Cos: 0.08004032075405121
Inter Cos: 0.003355233697220683
Norm Quadratic Average: 8.7556734085083
Nearest Class Center Accuracy: 0.878875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0742411613464355
Linear Weight Rank: 180
Intra Cos: 0.12668149173259735
Inter Cos: 0.0024346462450921535
Norm Quadratic Average: 8.736896514892578
Nearest Class Center Accuracy: 0.936625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.073657989501953
Linear Weight Rank: 180
Intra Cos: 0.1671256273984909
Inter Cos: -0.005196794867515564
Norm Quadratic Average: 8.733038902282715
Nearest Class Center Accuracy: 0.971125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.048387050628662
Linear Weight Rank: 179
Intra Cos: 0.2708331346511841
Inter Cos: -0.019408533349633217
Norm Quadratic Average: 8.692755699157715
Nearest Class Center Accuracy: 0.99975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9686871767044067
Linear Weight Rank: 4
Intra Cos: 0.5508174896240234
Inter Cos: -0.10253313183784485
Norm Quadratic Average: 8.866883277893066
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9549245238304138
Inter Cos: -0.1424560397863388
Norm Quadratic Average: 7.492978096008301
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24165759563446046
Accuracy: 0.903
NC1 Within Class Collapse: 1.0323295593261719
NC2 Equinorm: Features: 0.01199355535209179, Weights: 0.02955692820250988
NC2 Equiangle: Features: 0.23285057147343954, Weights: 0.0745106041431427
NC3 Self-Duality: 0.1620824784040451
NC4 NCC Mismatch: 0.012499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.131916046142578
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.112869739532471
Linear Weight Rank: 180
Intra Cos: 0.08086264878511429
Inter Cos: 0.0027748490683734417
Norm Quadratic Average: 8.740675926208496
Nearest Class Center Accuracy: 0.88

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0742411613464355
Linear Weight Rank: 180
Intra Cos: 0.12179205566644669
Inter Cos: -0.0013693770160898566
Norm Quadratic Average: 8.76409912109375
Nearest Class Center Accuracy: 0.918

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.073657989501953
Linear Weight Rank: 180
Intra Cos: 0.15095627307891846
Inter Cos: 0.0055976202711462975
Norm Quadratic Average: 8.780881881713867
Nearest Class Center Accuracy: 0.9125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.048387050628662
Linear Weight Rank: 179
Intra Cos: 0.2226438969373703
Inter Cos: -0.0049415817484259605
Norm Quadratic Average: 8.709775924682617
Nearest Class Center Accuracy: 0.9205

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9686871767044067
Linear Weight Rank: 4
Intra Cos: 0.40126341581344604
Inter Cos: -0.057089269161224365
Norm Quadratic Average: 8.64763069152832
Nearest Class Center Accuracy: 0.9035

Output Layer:
Intra Cos: 0.7544229626655579
Inter Cos: -0.07135088741779327
Norm Quadratic Average: 7.100753307342529
Nearest Class Center Accuracy: 0.9065

