Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.084274768829346
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 7.132726192474365
Linear Weight Rank: 179
Intra Cos: 0.07974119484424591
Inter Cos: 0.006509598344564438
Norm Quadratic Average: 12.252199172973633
Nearest Class Center Accuracy: 0.870625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.127697944641113
Linear Weight Rank: 179
Intra Cos: 0.11547235399484634
Inter Cos: 0.00906410627067089
Norm Quadratic Average: 12.24350357055664
Nearest Class Center Accuracy: 0.91225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.063903331756592
Linear Weight Rank: 180
Intra Cos: 0.14379453659057617
Inter Cos: 0.0009242321830242872
Norm Quadratic Average: 12.163832664489746
Nearest Class Center Accuracy: 0.95825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0649027824401855
Linear Weight Rank: 179
Intra Cos: 0.2130439430475235
Inter Cos: -0.012986035086214542
Norm Quadratic Average: 12.126866340637207
Nearest Class Center Accuracy: 0.99825

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.279677391052246
Linear Weight Rank: 4
Intra Cos: 0.3982542157173157
Inter Cos: -0.052910707890987396
Norm Quadratic Average: 12.248031616210938
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9309394359588623
Inter Cos: -0.08557203412055969
Norm Quadratic Average: 10.358943939208984
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2708330340385437
Accuracy: 0.903
NC1 Within Class Collapse: 1.2433648109436035
NC2 Equinorm: Features: 0.026435459032654762, Weights: 0.02512153796851635
NC2 Equiangle: Features: 0.2876182794570923, Weights: 0.10261372725168864
NC3 Self-Duality: 0.20709510147571564
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.084274768829346
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 7.132726192474365
Linear Weight Rank: 179
Intra Cos: 0.08119262009859085
Inter Cos: 0.007330445107072592
Norm Quadratic Average: 12.23766803741455
Nearest Class Center Accuracy: 0.875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.127697944641113
Linear Weight Rank: 179
Intra Cos: 0.11111298948526382
Inter Cos: 0.003822160419076681
Norm Quadratic Average: 12.27407455444336
Nearest Class Center Accuracy: 0.8925

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.063903331756592
Linear Weight Rank: 180
Intra Cos: 0.1335889846086502
Inter Cos: 0.007980845868587494
Norm Quadratic Average: 12.191567420959473
Nearest Class Center Accuracy: 0.891

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0649027824401855
Linear Weight Rank: 179
Intra Cos: 0.1836090236902237
Inter Cos: -0.01045936718583107
Norm Quadratic Average: 12.09196662902832
Nearest Class Center Accuracy: 0.913

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.279677391052246
Linear Weight Rank: 4
Intra Cos: 0.3082204759120941
Inter Cos: -0.031282924115657806
Norm Quadratic Average: 12.107274055480957
Nearest Class Center Accuracy: 0.908

Output Layer:
Intra Cos: 0.7583706974983215
Inter Cos: -0.02872936800122261
Norm Quadratic Average: 10.0454740524292
Nearest Class Center Accuracy: 0.9015

