Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.843428134918213
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: 7.842787265777588
Linear Weight Rank: 179
Intra Cos: 0.06641589105129242
Inter Cos: 0.0055181714706122875
Norm Quadratic Average: 13.456148147583008
Nearest Class Center Accuracy: 0.866875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802964210510254
Linear Weight Rank: 179
Intra Cos: 0.10492894798517227
Inter Cos: 0.002949536545202136
Norm Quadratic Average: 13.461335182189941
Nearest Class Center Accuracy: 0.92

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.762742519378662
Linear Weight Rank: 179
Intra Cos: 0.13359922170639038
Inter Cos: -0.004273897036910057
Norm Quadratic Average: 13.420945167541504
Nearest Class Center Accuracy: 0.961875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771838665008545
Linear Weight Rank: 179
Intra Cos: 0.19419057667255402
Inter Cos: -0.011762775480747223
Norm Quadratic Average: 13.364768981933594
Nearest Class Center Accuracy: 0.998

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4083287715911865
Linear Weight Rank: 4
Intra Cos: 0.38384661078453064
Inter Cos: -0.0487072616815567
Norm Quadratic Average: 13.470071792602539
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9225515127182007
Inter Cos: -0.08685878664255142
Norm Quadratic Average: 11.871042251586914
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.27125661659240724
Accuracy: 0.897
NC1 Within Class Collapse: 1.3487180471420288
NC2 Equinorm: Features: 0.02104315161705017, Weights: 0.01928829774260521
NC2 Equiangle: Features: 0.29136590162913006, Weights: 0.12216353416442871
NC3 Self-Duality: 0.2019861340522766
NC4 NCC Mismatch: 0.03249999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.843428134918213
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: 7.842787265777588
Linear Weight Rank: 179
Intra Cos: 0.06471554934978485
Inter Cos: 0.0017159844283014536
Norm Quadratic Average: 13.438779830932617
Nearest Class Center Accuracy: 0.8755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802964210510254
Linear Weight Rank: 179
Intra Cos: 0.09975520521402359
Inter Cos: 0.0033053304068744183
Norm Quadratic Average: 13.441553115844727
Nearest Class Center Accuracy: 0.9015

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.762742519378662
Linear Weight Rank: 179
Intra Cos: 0.11883240193128586
Inter Cos: 0.003432348370552063
Norm Quadratic Average: 13.445693016052246
Nearest Class Center Accuracy: 0.8885

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771838665008545
Linear Weight Rank: 179
Intra Cos: 0.16008463501930237
Inter Cos: -0.006317494437098503
Norm Quadratic Average: 13.376870155334473
Nearest Class Center Accuracy: 0.8975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4083287715911865
Linear Weight Rank: 4
Intra Cos: 0.2954624891281128
Inter Cos: -0.022123241797089577
Norm Quadratic Average: 13.291837692260742
Nearest Class Center Accuracy: 0.91

Output Layer:
Intra Cos: 0.7437590956687927
Inter Cos: -0.03317084163427353
Norm Quadratic Average: 11.451711654663086
Nearest Class Center Accuracy: 0.909

