Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_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: 3.204378843307495
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.3571343421936035
Linear Weight Rank: 180
Intra Cos: 0.028940636664628983
Inter Cos: -0.004853797145187855
Norm Quadratic Average: 5.416888236999512
Nearest Class Center Accuracy: 0.598875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2652578353881836
Linear Weight Rank: 180
Intra Cos: 0.03236895054578781
Inter Cos: -0.006884767208248377
Norm Quadratic Average: 5.392287254333496
Nearest Class Center Accuracy: 0.659875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1744604110717773
Linear Weight Rank: 180
Intra Cos: 0.04550996050238609
Inter Cos: -0.013098343275487423
Norm Quadratic Average: 5.378077030181885
Nearest Class Center Accuracy: 0.798125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.124171257019043
Linear Weight Rank: 179
Intra Cos: 0.13298813998699188
Inter Cos: -0.04047383740544319
Norm Quadratic Average: 5.368243217468262
Nearest Class Center Accuracy: 0.9975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.101623773574829
Linear Weight Rank: 4
Intra Cos: 0.6526594758033752
Inter Cos: -0.1756313294172287
Norm Quadratic Average: 5.798463344573975
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9572908878326416
Inter Cos: -0.20830117166042328
Norm Quadratic Average: 5.695302486419678
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.7374583396911621
Accuracy: 0.7385
NC1 Within Class Collapse: 3.0281424522399902
NC2 Equinorm: Features: 0.04823802411556244, Weights: 0.033452004194259644
NC2 Equiangle: Features: 0.04034499327341715, Weights: 0.022871116797129314
NC3 Self-Duality: 0.10048962384462357
NC4 NCC Mismatch: 0.019000000000000017

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.204378843307495
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.3571343421936035
Linear Weight Rank: 180
Intra Cos: 0.026250964030623436
Inter Cos: -0.004588170442730188
Norm Quadratic Average: 5.4237518310546875
Nearest Class Center Accuracy: 0.5975

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2652578353881836
Linear Weight Rank: 180
Intra Cos: 0.027411961928009987
Inter Cos: -0.006298852153122425
Norm Quadratic Average: 5.388946056365967
Nearest Class Center Accuracy: 0.6515

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1744604110717773
Linear Weight Rank: 180
Intra Cos: 0.031425852328538895
Inter Cos: -0.007362851407378912
Norm Quadratic Average: 5.360291004180908
Nearest Class Center Accuracy: 0.68

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.124171257019043
Linear Weight Rank: 179
Intra Cos: 0.0659109428524971
Inter Cos: -0.012093555182218552
Norm Quadratic Average: 5.262675762176514
Nearest Class Center Accuracy: 0.7435

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.101623773574829
Linear Weight Rank: 4
Intra Cos: 0.262484610080719
Inter Cos: -0.060785554349422455
Norm Quadratic Average: 5.242117404937744
Nearest Class Center Accuracy: 0.7395

Output Layer:
Intra Cos: 0.44766148924827576
Inter Cos: -0.11964116245508194
Norm Quadratic Average: 4.8275017738342285
Nearest Class Center Accuracy: 0.7385

