Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0475181341171265
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: 1.0365487337112427
Linear Weight Rank: 180
Intra Cos: 0.06031173840165138
Inter Cos: 0.00738202128559351
Norm Quadratic Average: 0.6258824467658997
Nearest Class Center Accuracy: 0.83075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0355596542358398
Linear Weight Rank: 180
Intra Cos: 0.051033079624176025
Inter Cos: 0.016200777143239975
Norm Quadratic Average: 0.031310517340898514
Nearest Class Center Accuracy: 0.737

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0423763990402222
Linear Weight Rank: 179
Intra Cos: 0.053936973214149475
Inter Cos: 0.016646023839712143
Norm Quadratic Average: 0.001626366749405861
Nearest Class Center Accuracy: 0.692625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.037604808807373
Linear Weight Rank: 180
Intra Cos: 0.06280893087387085
Inter Cos: 0.019455445930361748
Norm Quadratic Average: 8.946523303166032e-05
Nearest Class Center Accuracy: 0.66425

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.1561570018529892
Linear Weight Rank: 4
Intra Cos: 0.0795176550745964
Inter Cos: 0.0265223179012537
Norm Quadratic Average: 4.784584689332405e-06
Nearest Class Center Accuracy: 0.660125

Output Layer:
Intra Cos: 0.3044825494289398
Inter Cos: 0.3666669726371765
Norm Quadratic Average: 1.0115817161704399e-07
Nearest Class Center Accuracy: 0.60675

Test Set:
Average Loss: 1.3870590705871582
Accuracy: 0.257
NC1 Within Class Collapse: 51.02099609375
NC2 Equinorm: Features: 0.18146124482154846, Weights: 0.03997935354709625
NC2 Equiangle: Features: 0.43583114941914874, Weights: 0.3045082092285156
NC3 Self-Duality: 1.4349279403686523
NC4 NCC Mismatch: 0.741

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0475181341171265
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: 1.0365487337112427
Linear Weight Rank: 180
Intra Cos: 0.05826668068766594
Inter Cos: 0.0071533480659127235
Norm Quadratic Average: 0.6242907047271729
Nearest Class Center Accuracy: 0.841

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0355596542358398
Linear Weight Rank: 180
Intra Cos: 0.0483994223177433
Inter Cos: 0.014191088266670704
Norm Quadratic Average: 0.031192898750305176
Nearest Class Center Accuracy: 0.7645

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0423763990402222
Linear Weight Rank: 179
Intra Cos: 0.05346699059009552
Inter Cos: 0.01771814003586769
Norm Quadratic Average: 0.0016208627494052052
Nearest Class Center Accuracy: 0.706

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.037604808807373
Linear Weight Rank: 180
Intra Cos: 0.061124786734580994
Inter Cos: 0.021027985960245132
Norm Quadratic Average: 8.946898742578924e-05
Nearest Class Center Accuracy: 0.674

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.1561570018529892
Linear Weight Rank: 4
Intra Cos: 0.07587970793247223
Inter Cos: 0.03019964136183262
Norm Quadratic Average: 4.782439191330923e-06
Nearest Class Center Accuracy: 0.659

Output Layer:
Intra Cos: 0.1551746129989624
Inter Cos: 0.11802930384874344
Norm Quadratic Average: 9.477027873572297e-08
Nearest Class Center Accuracy: 0.5965

