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_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0044713020324707
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: 2.1303365230560303
Linear Weight Rank: 180
Intra Cos: 0.10311441123485565
Inter Cos: 0.0020616773981601
Norm Quadratic Average: 3.3438332080841064
Nearest Class Center Accuracy: 0.918125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0255072116851807
Linear Weight Rank: 180
Intra Cos: 0.16833855211734772
Inter Cos: 0.0003474520053714514
Norm Quadratic Average: 3.304401397705078
Nearest Class Center Accuracy: 0.969125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9598249197006226
Linear Weight Rank: 179
Intra Cos: 0.27021875977516174
Inter Cos: -0.013461610302329063
Norm Quadratic Average: 3.2945313453674316
Nearest Class Center Accuracy: 0.998

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9316697120666504
Linear Weight Rank: 179
Intra Cos: 0.5655915141105652
Inter Cos: -0.0765356719493866
Norm Quadratic Average: 3.2814877033233643
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9265915155410767
Linear Weight Rank: 4
Intra Cos: 0.940162718296051
Inter Cos: -0.25420066714286804
Norm Quadratic Average: 3.823439359664917
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9963578581809998
Inter Cos: -0.2513194680213928
Norm Quadratic Average: 4.094228267669678
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.1877644281387329
Accuracy: 0.933
NC1 Within Class Collapse: 0.49637651443481445
NC2 Equinorm: Features: 0.007856990210711956, Weights: 0.0269462987780571
NC2 Equiangle: Features: 0.12482818961143494, Weights: 0.025548189878463745
NC3 Self-Duality: 0.03990783542394638
NC4 NCC Mismatch: 0.0044999999999999485

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0044713020324707
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: 2.1303365230560303
Linear Weight Rank: 180
Intra Cos: 0.10403577238321304
Inter Cos: 0.005617850460112095
Norm Quadratic Average: 3.3400094509124756
Nearest Class Center Accuracy: 0.923

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0255072116851807
Linear Weight Rank: 180
Intra Cos: 0.1594359427690506
Inter Cos: -0.0027699454221874475
Norm Quadratic Average: 3.318145275115967
Nearest Class Center Accuracy: 0.9385

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9598249197006226
Linear Weight Rank: 179
Intra Cos: 0.24170026183128357
Inter Cos: -0.0038719228468835354
Norm Quadratic Average: 3.3049421310424805
Nearest Class Center Accuracy: 0.9405

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9316697120666504
Linear Weight Rank: 179
Intra Cos: 0.48207759857177734
Inter Cos: -0.044929154217243195
Norm Quadratic Average: 3.2348549365997314
Nearest Class Center Accuracy: 0.94

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9265915155410767
Linear Weight Rank: 4
Intra Cos: 0.7710123062133789
Inter Cos: -0.15863382816314697
Norm Quadratic Average: 3.5434961318969727
Nearest Class Center Accuracy: 0.9345

Output Layer:
Intra Cos: 0.8405379056930542
Inter Cos: -0.1528632789850235
Norm Quadratic Average: 3.7557904720306396
Nearest Class Center Accuracy: 0.934

