Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_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: 7.877199649810791
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 7.910281181335449
Linear Weight Rank: 179
Intra Cos: 0.06398860365152359
Inter Cos: 0.004528311546891928
Norm Quadratic Average: 13.51682186126709
Nearest Class Center Accuracy: 0.8605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.856468677520752
Linear Weight Rank: 179
Intra Cos: 0.09253321588039398
Inter Cos: 0.003671121783554554
Norm Quadratic Average: 13.48284912109375
Nearest Class Center Accuracy: 0.898

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.812901973724365
Linear Weight Rank: 180
Intra Cos: 0.11527092754840851
Inter Cos: 0.0017871721647679806
Norm Quadratic Average: 13.433062553405762
Nearest Class Center Accuracy: 0.940625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.814611434936523
Linear Weight Rank: 180
Intra Cos: 0.1385086476802826
Inter Cos: 0.004763715900480747
Norm Quadratic Average: 13.435436248779297
Nearest Class Center Accuracy: 0.962875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.797198295593262
Linear Weight Rank: 179
Intra Cos: 0.17251870036125183
Inter Cos: -0.006333320401608944
Norm Quadratic Average: 13.401107788085938
Nearest Class Center Accuracy: 0.99

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.797869682312012
Linear Weight Rank: 179
Intra Cos: 0.22957824170589447
Inter Cos: -0.013695966452360153
Norm Quadratic Average: 13.332976341247559
Nearest Class Center Accuracy: 0.99875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.784682750701904
Linear Weight Rank: 179
Intra Cos: 0.29913488030433655
Inter Cos: -0.027236085385084152
Norm Quadratic Average: 13.35114574432373
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0353779792785645
Linear Weight Rank: 4
Intra Cos: 0.4755845367908478
Inter Cos: -0.09998931735754013
Norm Quadratic Average: 13.506203651428223
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9576509594917297
Inter Cos: -0.14144742488861084
Norm Quadratic Average: 10.54916000366211
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3679288663864136
Accuracy: 0.8775
NC1 Within Class Collapse: 1.2087252140045166
NC2 Equinorm: Features: 0.01628694497048855, Weights: 0.024710040539503098
NC2 Equiangle: Features: 0.2278797427813212, Weights: 0.1167457103729248
NC3 Self-Duality: 0.23881371319293976
NC4 NCC Mismatch: 0.012499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.877199649810791
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: 7.910281181335449
Linear Weight Rank: 179
Intra Cos: 0.062438152730464935
Inter Cos: 0.002147279679775238
Norm Quadratic Average: 13.495648384094238
Nearest Class Center Accuracy: 0.8665

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.856468677520752
Linear Weight Rank: 179
Intra Cos: 0.08893221616744995
Inter Cos: 0.003563173580914736
Norm Quadratic Average: 13.469486236572266
Nearest Class Center Accuracy: 0.883

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.812901973724365
Linear Weight Rank: 180
Intra Cos: 0.10780227184295654
Inter Cos: -0.0016283814329653978
Norm Quadratic Average: 13.467537879943848
Nearest Class Center Accuracy: 0.8945

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.814611434936523
Linear Weight Rank: 180
Intra Cos: 0.12443441152572632
Inter Cos: 0.0072042797692120075
Norm Quadratic Average: 13.416540145874023
Nearest Class Center Accuracy: 0.8955

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.797198295593262
Linear Weight Rank: 179
Intra Cos: 0.14492274820804596
Inter Cos: -0.0006608563708141446
Norm Quadratic Average: 13.329164505004883
Nearest Class Center Accuracy: 0.896

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.797869682312012
Linear Weight Rank: 179
Intra Cos: 0.1763203740119934
Inter Cos: -0.00274445628747344
Norm Quadratic Average: 13.198770523071289
Nearest Class Center Accuracy: 0.8865

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.784682750701904
Linear Weight Rank: 179
Intra Cos: 0.2287515550851822
Inter Cos: -0.004085030406713486
Norm Quadratic Average: 13.088475227355957
Nearest Class Center Accuracy: 0.8865

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0353779792785645
Linear Weight Rank: 4
Intra Cos: 0.33468207716941833
Inter Cos: -0.039706405252218246
Norm Quadratic Average: 12.868881225585938
Nearest Class Center Accuracy: 0.879

Output Layer:
Intra Cos: 0.7062839865684509
Inter Cos: -0.03724123537540436
Norm Quadratic Average: 9.631694793701172
Nearest Class Center Accuracy: 0.8785

