Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.114108085632324
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.068511962890625
Linear Weight Rank: 179
Intra Cos: 0.07498285174369812
Inter Cos: 0.005771945230662823
Norm Quadratic Average: 13.884737014770508
Nearest Class Center Accuracy: 0.87975

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.040002822875977
Linear Weight Rank: 179
Intra Cos: 0.11282569915056229
Inter Cos: 0.005065574310719967
Norm Quadratic Average: 13.8646879196167
Nearest Class Center Accuracy: 0.9225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07925033569336
Linear Weight Rank: 180
Intra Cos: 0.15358051657676697
Inter Cos: -0.001945500960573554
Norm Quadratic Average: 13.860671997070312
Nearest Class Center Accuracy: 0.95975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034895896911621
Linear Weight Rank: 180
Intra Cos: 0.21229282021522522
Inter Cos: -0.006298422813415527
Norm Quadratic Average: 13.798182487487793
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4469878673553467
Linear Weight Rank: 4
Intra Cos: 0.3660656809806824
Inter Cos: -0.04069498926401138
Norm Quadratic Average: 13.902911186218262
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9204502105712891
Inter Cos: -0.04869767278432846
Norm Quadratic Average: 12.260915756225586
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.25423749923706057
Accuracy: 0.906
NC1 Within Class Collapse: 1.2992192506790161
NC2 Equinorm: Features: 0.00855428446084261, Weights: 0.016826540231704712
NC2 Equiangle: Features: 0.30852198600769043, Weights: 0.1390655835469564
NC3 Self-Duality: 0.2142215222120285
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.114108085632324
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
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: 8.068511962890625
Linear Weight Rank: 179
Intra Cos: 0.07337189465761185
Inter Cos: 0.005944304168224335
Norm Quadratic Average: 13.87020206451416
Nearest Class Center Accuracy: 0.8855

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.040002822875977
Linear Weight Rank: 179
Intra Cos: 0.10851787030696869
Inter Cos: 0.004703194368630648
Norm Quadratic Average: 13.875533103942871
Nearest Class Center Accuracy: 0.9075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07925033569336
Linear Weight Rank: 180
Intra Cos: 0.13915707170963287
Inter Cos: 0.005935992579907179
Norm Quadratic Average: 13.892239570617676
Nearest Class Center Accuracy: 0.9105

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034895896911621
Linear Weight Rank: 180
Intra Cos: 0.18483050167560577
Inter Cos: -0.003472250420600176
Norm Quadratic Average: 13.761695861816406
Nearest Class Center Accuracy: 0.929

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4469878673553467
Linear Weight Rank: 4
Intra Cos: 0.2891888916492462
Inter Cos: -0.012254444882273674
Norm Quadratic Average: 13.68354320526123
Nearest Class Center Accuracy: 0.915

Output Layer:
Intra Cos: 0.7385662198066711
Inter Cos: 0.008885234594345093
Norm Quadratic Average: 11.835714340209961
Nearest Class Center Accuracy: 0.9145

