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_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.931619167327881
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: 4.924507141113281
Linear Weight Rank: 179
Intra Cos: 0.08011278510093689
Inter Cos: 0.005479710176587105
Norm Quadratic Average: 8.43112564086914
Nearest Class Center Accuracy: 0.88925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.895595550537109
Linear Weight Rank: 179
Intra Cos: 0.1311919391155243
Inter Cos: 0.004334370605647564
Norm Quadratic Average: 8.417829513549805
Nearest Class Center Accuracy: 0.936375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.910648822784424
Linear Weight Rank: 180
Intra Cos: 0.1906159371137619
Inter Cos: -0.0013482877984642982
Norm Quadratic Average: 8.414700508117676
Nearest Class Center Accuracy: 0.976375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.880339622497559
Linear Weight Rank: 180
Intra Cos: 0.2938304543495178
Inter Cos: -0.01612766459584236
Norm Quadratic Average: 8.383992195129395
Nearest Class Center Accuracy: 0.999875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9698541164398193
Linear Weight Rank: 4
Intra Cos: 0.5739222168922424
Inter Cos: -0.1019684225320816
Norm Quadratic Average: 8.558631896972656
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9591653347015381
Inter Cos: -0.119196817278862
Norm Quadratic Average: 7.313797950744629
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.22084589195251464
Accuracy: 0.9165
NC1 Within Class Collapse: 0.9884818196296692
NC2 Equinorm: Features: 0.014418094418942928, Weights: 0.017997100949287415
NC2 Equiangle: Features: 0.24617286523183188, Weights: 0.08342243234316508
NC3 Self-Duality: 0.16420486569404602
NC4 NCC Mismatch: 0.01200000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.931619167327881
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: 4.924507141113281
Linear Weight Rank: 179
Intra Cos: 0.07868911325931549
Inter Cos: 0.005702303722500801
Norm Quadratic Average: 8.422669410705566
Nearest Class Center Accuracy: 0.8955

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.895595550537109
Linear Weight Rank: 179
Intra Cos: 0.12612693011760712
Inter Cos: 0.0038726311177015305
Norm Quadratic Average: 8.433316230773926
Nearest Class Center Accuracy: 0.9145

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.910648822784424
Linear Weight Rank: 180
Intra Cos: 0.1744188815355301
Inter Cos: 0.007794507313519716
Norm Quadratic Average: 8.445779800415039
Nearest Class Center Accuracy: 0.9195

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.880339622497559
Linear Weight Rank: 180
Intra Cos: 0.249467670917511
Inter Cos: -0.008148502558469772
Norm Quadratic Average: 8.349139213562012
Nearest Class Center Accuracy: 0.9335

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9698541164398193
Linear Weight Rank: 4
Intra Cos: 0.4322950839996338
Inter Cos: -0.04062322527170181
Norm Quadratic Average: 8.2727689743042
Nearest Class Center Accuracy: 0.92

Output Layer:
Intra Cos: 0.7642978429794312
Inter Cos: -0.03060738742351532
Norm Quadratic Average: 6.877487659454346
Nearest Class Center Accuracy: 0.9215

