Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_846264_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.8399744033813477
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
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: 1.0302711725234985
Linear Weight Rank: 178
Intra Cos: 0.14581792056560516
Inter Cos: 0.006688228342682123
Norm Quadratic Average: 1.112480878829956
Nearest Class Center Accuracy: 0.90425

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8404322266578674
Linear Weight Rank: 178
Intra Cos: 0.1896202117204666
Inter Cos: 0.0023242589086294174
Norm Quadratic Average: 0.7479916214942932
Nearest Class Center Accuracy: 0.9975

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7034517526626587
Linear Weight Rank: 178
Intra Cos: 0.5436016917228699
Inter Cos: -0.0327518954873085
Norm Quadratic Average: 0.6739181280136108
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7549878358840942
Linear Weight Rank: 178
Intra Cos: 0.9375025033950806
Inter Cos: -0.14946718513965607
Norm Quadratic Average: 0.9099860191345215
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.242924213409424
Linear Weight Rank: 4
Intra Cos: 0.9984446167945862
Inter Cos: -0.2875567376613617
Norm Quadratic Average: 2.418813943862915
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.999671995639801
Inter Cos: -0.26947343349456787
Norm Quadratic Average: 3.132267951965332
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.15310859155654907
Accuracy: 0.9725
NC1 Within Class Collapse: 0.20300719141960144
NC2 Equinorm: Features: 0.005459061823785305, Weights: 0.01948409527540207
NC2 Equiangle: Features: 0.07762401302655537, Weights: 0.024054596821467083
NC3 Self-Duality: 0.005344943609088659
NC4 NCC Mismatch: 0.0010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.8399744033813477
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 1.0302711725234985
Linear Weight Rank: 178
Intra Cos: 0.14473140239715576
Inter Cos: 0.0010486366227269173
Norm Quadratic Average: 1.1150873899459839
Nearest Class Center Accuracy: 0.9135

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8404322266578674
Linear Weight Rank: 178
Intra Cos: 0.17980435490608215
Inter Cos: 0.010268498212099075
Norm Quadratic Average: 0.7459352612495422
Nearest Class Center Accuracy: 0.9695

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7034517526626587
Linear Weight Rank: 178
Intra Cos: 0.49751991033554077
Inter Cos: -0.020030345767736435
Norm Quadratic Average: 0.662782609462738
Nearest Class Center Accuracy: 0.9695

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7549878358840942
Linear Weight Rank: 178
Intra Cos: 0.8680705428123474
Inter Cos: -0.10906744003295898
Norm Quadratic Average: 0.8806447386741638
Nearest Class Center Accuracy: 0.972

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.242924213409424
Linear Weight Rank: 4
Intra Cos: 0.9197126626968384
Inter Cos: -0.23142729699611664
Norm Quadratic Average: 2.3165836334228516
Nearest Class Center Accuracy: 0.9725

Output Layer:
Intra Cos: 0.919826865196228
Inter Cos: -0.21344533562660217
Norm Quadratic Average: 2.9988160133361816
Nearest Class Center Accuracy: 0.9725

