Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9739327430725098
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
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: 3.0072576999664307
Linear Weight Rank: 180
Intra Cos: 0.08813420683145523
Inter Cos: 0.005221005063503981
Norm Quadratic Average: 5.052990913391113
Nearest Class Center Accuracy: 0.895125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.957249641418457
Linear Weight Rank: 180
Intra Cos: 0.14741259813308716
Inter Cos: 0.0034553154837340117
Norm Quadratic Average: 5.033761501312256
Nearest Class Center Accuracy: 0.955375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.936392307281494
Linear Weight Rank: 180
Intra Cos: 0.22103381156921387
Inter Cos: -0.005938214715570211
Norm Quadratic Average: 5.022004127502441
Nearest Class Center Accuracy: 0.990375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.916194200515747
Linear Weight Rank: 179
Intra Cos: 0.42439690232276917
Inter Cos: -0.04792581871151924
Norm Quadratic Average: 4.99796724319458
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8377025127410889
Linear Weight Rank: 4
Intra Cos: 0.8358749747276306
Inter Cos: -0.20768068730831146
Norm Quadratic Average: 5.334333896636963
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9878608584403992
Inter Cos: -0.22780361771583557
Norm Quadratic Average: 5.079130172729492
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.22008977890014647
Accuracy: 0.912
NC1 Within Class Collapse: 0.748498260974884
NC2 Equinorm: Features: 0.013493052683770657, Weights: 0.029717860743403435
NC2 Equiangle: Features: 0.16145092248916626, Weights: 0.02837926646073659
NC3 Self-Duality: 0.09085182845592499
NC4 NCC Mismatch: 0.009499999999999953

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9739327430725098
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.0072576999664307
Linear Weight Rank: 180
Intra Cos: 0.08868250995874405
Inter Cos: 0.001776625053025782
Norm Quadratic Average: 5.045032024383545
Nearest Class Center Accuracy: 0.8945

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.957249641418457
Linear Weight Rank: 180
Intra Cos: 0.13985507190227509
Inter Cos: -0.0014084167778491974
Norm Quadratic Average: 5.0494771003723145
Nearest Class Center Accuracy: 0.9295

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.936392307281494
Linear Weight Rank: 180
Intra Cos: 0.19681449234485626
Inter Cos: 0.0013377676950767636
Norm Quadratic Average: 5.047525405883789
Nearest Class Center Accuracy: 0.927

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.916194200515747
Linear Weight Rank: 179
Intra Cos: 0.3412879705429077
Inter Cos: -0.026673562824726105
Norm Quadratic Average: 4.962887763977051
Nearest Class Center Accuracy: 0.9325

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8377025127410889
Linear Weight Rank: 4
Intra Cos: 0.6315315365791321
Inter Cos: -0.11155179142951965
Norm Quadratic Average: 4.989367485046387
Nearest Class Center Accuracy: 0.9155

Output Layer:
Intra Cos: 0.7789008021354675
Inter Cos: -0.12413393706083298
Norm Quadratic Average: 4.640239238739014
Nearest Class Center Accuracy: 0.916

