Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.145448684692383
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222446449100971
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: 8.246644020080566
Linear Weight Rank: 180
Intra Cos: 0.02501957304775715
Inter Cos: -0.003020353615283966
Norm Quadratic Average: 14.098759651184082
Nearest Class Center Accuracy: 0.58525

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.223556518554688
Linear Weight Rank: 180
Intra Cos: 0.02696240320801735
Inter Cos: -0.002837419044226408
Norm Quadratic Average: 14.06885814666748
Nearest Class Center Accuracy: 0.637

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132255554199219
Linear Weight Rank: 179
Intra Cos: 0.03777793049812317
Inter Cos: -0.00501826498657465
Norm Quadratic Average: 14.018119812011719
Nearest Class Center Accuracy: 0.737875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12087631225586
Linear Weight Rank: 179
Intra Cos: 0.0635855495929718
Inter Cos: -0.01577417366206646
Norm Quadratic Average: 13.978738784790039
Nearest Class Center Accuracy: 0.9355

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.87347412109375
Linear Weight Rank: 4
Intra Cos: 0.19654837250709534
Inter Cos: -0.04811358451843262
Norm Quadratic Average: 14.20957088470459
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8571202158927917
Inter Cos: -0.14067037403583527
Norm Quadratic Average: 11.478060722351074
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1117120056152343
Accuracy: 0.733
NC1 Within Class Collapse: 3.7719650268554688
NC2 Equinorm: Features: 0.051188357174396515, Weights: 0.023722881451249123
NC2 Equiangle: Features: 0.11426344513893127, Weights: 0.05482331415017446
NC3 Self-Duality: 0.19331450760364532
NC4 NCC Mismatch: 0.05500000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.145448684692383
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: 8.246644020080566
Linear Weight Rank: 180
Intra Cos: 0.02453664503991604
Inter Cos: -0.0023098429664969444
Norm Quadratic Average: 14.164999961853027
Nearest Class Center Accuracy: 0.576

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.223556518554688
Linear Weight Rank: 180
Intra Cos: 0.023465918377041817
Inter Cos: -0.0019488635007292032
Norm Quadratic Average: 14.104503631591797
Nearest Class Center Accuracy: 0.6205

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132255554199219
Linear Weight Rank: 179
Intra Cos: 0.028346629813313484
Inter Cos: -0.0016550759319216013
Norm Quadratic Average: 14.03346061706543
Nearest Class Center Accuracy: 0.664

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12087631225586
Linear Weight Rank: 179
Intra Cos: 0.04045594483613968
Inter Cos: -0.005464367102831602
Norm Quadratic Average: 13.906585693359375
Nearest Class Center Accuracy: 0.7155

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.87347412109375
Linear Weight Rank: 4
Intra Cos: 0.09347739815711975
Inter Cos: -0.01760144904255867
Norm Quadratic Average: 13.902322769165039
Nearest Class Center Accuracy: 0.7425

Output Layer:
Intra Cos: 0.4148455858230591
Inter Cos: -0.07305003702640533
Norm Quadratic Average: 10.57235336303711
Nearest Class Center Accuracy: 0.7355

