Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.377947807312012
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: 8.359898567199707
Linear Weight Rank: 179
Intra Cos: 0.11984533071517944
Inter Cos: 0.007663861382752657
Norm Quadratic Average: 5.152292728424072
Nearest Class Center Accuracy: 0.925875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.35709285736084
Linear Weight Rank: 179
Intra Cos: 0.454393208026886
Inter Cos: 0.03169839084148407
Norm Quadratic Average: 4.146462917327881
Nearest Class Center Accuracy: 0.94625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.41317367553711
Linear Weight Rank: 179
Intra Cos: 0.6373471021652222
Inter Cos: 0.06364763528108597
Norm Quadratic Average: 5.976704120635986
Nearest Class Center Accuracy: 0.93875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.392654418945312
Linear Weight Rank: 179
Intra Cos: 0.679780125617981
Inter Cos: 0.0852445438504219
Norm Quadratic Average: 9.129916191101074
Nearest Class Center Accuracy: 0.944125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9980337619781494
Linear Weight Rank: 4
Intra Cos: 0.6827203035354614
Inter Cos: 0.08435885608196259
Norm Quadratic Average: 13.783632278442383
Nearest Class Center Accuracy: 0.951

Output Layer:
Intra Cos: 0.7701092958450317
Inter Cos: 0.07498495280742645
Norm Quadratic Average: 25.5810604095459
Nearest Class Center Accuracy: 0.96175

Test Set:
Average Loss: 0.05995723342895508
Accuracy: 0.9745
NC1 Within Class Collapse: 1.567388653755188
NC2 Equinorm: Features: 0.04309918358922005, Weights: 0.06519077718257904
NC2 Equiangle: Features: 0.42990700403849286, Weights: 0.3729540904362996
NC3 Self-Duality: 0.1426544487476349
NC4 NCC Mismatch: 0.05400000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.377947807312012
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: 8.359898567199707
Linear Weight Rank: 179
Intra Cos: 0.11779797822237015
Inter Cos: 0.005771691910922527
Norm Quadratic Average: 5.146820068359375
Nearest Class Center Accuracy: 0.925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.35709285736084
Linear Weight Rank: 179
Intra Cos: 0.4431200623512268
Inter Cos: 0.026821177452802658
Norm Quadratic Average: 4.162825584411621
Nearest Class Center Accuracy: 0.938

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.41317367553711
Linear Weight Rank: 179
Intra Cos: 0.6153600811958313
Inter Cos: 0.06085591018199921
Norm Quadratic Average: 6.006475925445557
Nearest Class Center Accuracy: 0.93

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.392654418945312
Linear Weight Rank: 179
Intra Cos: 0.6548371911048889
Inter Cos: 0.08177673816680908
Norm Quadratic Average: 9.178685188293457
Nearest Class Center Accuracy: 0.93

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9980337619781494
Linear Weight Rank: 4
Intra Cos: 0.6554164886474609
Inter Cos: 0.0793166384100914
Norm Quadratic Average: 13.83707046508789
Nearest Class Center Accuracy: 0.9385

Output Layer:
Intra Cos: 0.7341121435165405
Inter Cos: 0.07544580101966858
Norm Quadratic Average: 25.622026443481445
Nearest Class Center Accuracy: 0.949

