Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.051884651184082
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 7.056637287139893
Linear Weight Rank: 180
Intra Cos: 0.07517200708389282
Inter Cos: 0.0023670613300055265
Norm Quadratic Average: 12.01099681854248
Nearest Class Center Accuracy: 0.864875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012302875518799
Linear Weight Rank: 179
Intra Cos: 0.11818903684616089
Inter Cos: 0.0015769621822983027
Norm Quadratic Average: 12.007861137390137
Nearest Class Center Accuracy: 0.928

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.989850044250488
Linear Weight Rank: 180
Intra Cos: 0.16148462891578674
Inter Cos: 0.007112076506018639
Norm Quadratic Average: 11.983763694763184
Nearest Class Center Accuracy: 0.969375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.004101276397705
Linear Weight Rank: 180
Intra Cos: 0.22982662916183472
Inter Cos: 0.005857168696820736
Norm Quadratic Average: 11.979662895202637
Nearest Class Center Accuracy: 0.9985

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2921149730682373
Linear Weight Rank: 4
Intra Cos: 0.4146077036857605
Inter Cos: -0.04499641805887222
Norm Quadratic Average: 12.174342155456543
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9321004152297974
Inter Cos: -0.08624766021966934
Norm Quadratic Average: 10.475198745727539
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.26717792415618896
Accuracy: 0.902
NC1 Within Class Collapse: 1.30320143699646
NC2 Equinorm: Features: 0.036052804440259933, Weights: 0.01640394516289234
NC2 Equiangle: Features: 0.29567694664001465, Weights: 0.10591089725494385
NC3 Self-Duality: 0.20168903470039368
NC4 NCC Mismatch: 0.02200000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.051884651184082
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 7.056637287139893
Linear Weight Rank: 180
Intra Cos: 0.07714974880218506
Inter Cos: 0.004304169677197933
Norm Quadratic Average: 12.001668930053711
Nearest Class Center Accuracy: 0.868

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012302875518799
Linear Weight Rank: 179
Intra Cos: 0.11541246622800827
Inter Cos: 0.004446703474968672
Norm Quadratic Average: 12.008729934692383
Nearest Class Center Accuracy: 0.9065

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.989850044250488
Linear Weight Rank: 180
Intra Cos: 0.1514008343219757
Inter Cos: 0.012492257170379162
Norm Quadratic Average: 11.997627258300781
Nearest Class Center Accuracy: 0.917

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.004101276397705
Linear Weight Rank: 180
Intra Cos: 0.19670350849628448
Inter Cos: 0.010363101959228516
Norm Quadratic Average: 11.983376502990723
Nearest Class Center Accuracy: 0.906

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2921149730682373
Linear Weight Rank: 4
Intra Cos: 0.3053051829338074
Inter Cos: -0.019375037401914597
Norm Quadratic Average: 11.988622665405273
Nearest Class Center Accuracy: 0.909

Output Layer:
Intra Cos: 0.7343810200691223
Inter Cos: -0.0224633626639843
Norm Quadratic Average: 10.087327003479004
Nearest Class Center Accuracy: 0.907

