Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_338327_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.021149635314941
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.001758486032485962
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: 8.057085037231445
Linear Weight Rank: 180
Intra Cos: 0.07064728438854218
Inter Cos: 0.0024438698310405016
Norm Quadratic Average: 13.80862808227539
Nearest Class Center Accuracy: 0.851625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.999233245849609
Linear Weight Rank: 180
Intra Cos: 0.10481861233711243
Inter Cos: 0.00379751599393785
Norm Quadratic Average: 13.76417350769043
Nearest Class Center Accuracy: 0.915125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.967996597290039
Linear Weight Rank: 179
Intra Cos: 0.1312323808670044
Inter Cos: 0.008251165971159935
Norm Quadratic Average: 13.760875701904297
Nearest Class Center Accuracy: 0.936375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.978278160095215
Linear Weight Rank: 180
Intra Cos: 0.1502935141324997
Inter Cos: 0.011115649715065956
Norm Quadratic Average: 13.746124267578125
Nearest Class Center Accuracy: 0.961125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9789228439331055
Linear Weight Rank: 180
Intra Cos: 0.17040513455867767
Inter Cos: -0.005095805041491985
Norm Quadratic Average: 13.712543487548828
Nearest Class Center Accuracy: 0.986875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.95700740814209
Linear Weight Rank: 180
Intra Cos: 0.22041833400726318
Inter Cos: -0.016250526532530785
Norm Quadratic Average: 13.665778160095215
Nearest Class Center Accuracy: 0.999125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.976564407348633
Linear Weight Rank: 179
Intra Cos: 0.297933429479599
Inter Cos: -0.043317247182130814
Norm Quadratic Average: 13.654001235961914
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0416269302368164
Linear Weight Rank: 4
Intra Cos: 0.456776887178421
Inter Cos: -0.09963205456733704
Norm Quadratic Average: 13.815571784973145
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9626314043998718
Inter Cos: -0.14955002069473267
Norm Quadratic Average: 10.774888038635254
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.39248602867126464
Accuracy: 0.8805
NC1 Within Class Collapse: 1.2076129913330078
NC2 Equinorm: Features: 0.019077418372035027, Weights: 0.04109465330839157
NC2 Equiangle: Features: 0.23692862192789713, Weights: 0.10061236222585042
NC3 Self-Duality: 0.22440402209758759
NC4 NCC Mismatch: 0.020000000000000018

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.021149635314941
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
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: 8.057085037231445
Linear Weight Rank: 180
Intra Cos: 0.07239502668380737
Inter Cos: 0.0043480899184942245
Norm Quadratic Average: 13.799737930297852
Nearest Class Center Accuracy: 0.8525

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.999233245849609
Linear Weight Rank: 180
Intra Cos: 0.10233501344919205
Inter Cos: 0.007242203690111637
Norm Quadratic Average: 13.765681266784668
Nearest Class Center Accuracy: 0.889

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.967996597290039
Linear Weight Rank: 179
Intra Cos: 0.12380389869213104
Inter Cos: 0.012555505149066448
Norm Quadratic Average: 13.779173851013184
Nearest Class Center Accuracy: 0.895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.978278160095215
Linear Weight Rank: 180
Intra Cos: 0.14325296878814697
Inter Cos: 0.015432581305503845
Norm Quadratic Average: 13.757098197937012
Nearest Class Center Accuracy: 0.895

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9789228439331055
Linear Weight Rank: 180
Intra Cos: 0.15518656373023987
Inter Cos: 0.001424809917807579
Norm Quadratic Average: 13.64857292175293
Nearest Class Center Accuracy: 0.8905

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.95700740814209
Linear Weight Rank: 180
Intra Cos: 0.18402442336082458
Inter Cos: -0.0044098361395299435
Norm Quadratic Average: 13.488941192626953
Nearest Class Center Accuracy: 0.8965

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.976564407348633
Linear Weight Rank: 179
Intra Cos: 0.23458752036094666
Inter Cos: -0.016812724992632866
Norm Quadratic Average: 13.369881629943848
Nearest Class Center Accuracy: 0.8905

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0416269302368164
Linear Weight Rank: 4
Intra Cos: 0.34029242396354675
Inter Cos: -0.04430781304836273
Norm Quadratic Average: 13.197580337524414
Nearest Class Center Accuracy: 0.892

Output Layer:
Intra Cos: 0.7063692808151245
Inter Cos: -0.05061882734298706
Norm Quadratic Average: 9.904748916625977
Nearest Class Center Accuracy: 0.889

