Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.983980178833008
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 7.982658863067627
Linear Weight Rank: 179
Intra Cos: 0.06646430492401123
Inter Cos: 0.004837928805500269
Norm Quadratic Average: 13.700085639953613
Nearest Class Center Accuracy: 0.865875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.942442417144775
Linear Weight Rank: 179
Intra Cos: 0.10413319617509842
Inter Cos: 0.0015534521080553532
Norm Quadratic Average: 13.679134368896484
Nearest Class Center Accuracy: 0.91825

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901967525482178
Linear Weight Rank: 179
Intra Cos: 0.13108903169631958
Inter Cos: -0.0030843624845147133
Norm Quadratic Average: 13.648879051208496
Nearest Class Center Accuracy: 0.959875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.911372184753418
Linear Weight Rank: 179
Intra Cos: 0.19039441645145416
Inter Cos: -0.009357046335935593
Norm Quadratic Average: 13.593729019165039
Nearest Class Center Accuracy: 0.997125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.410632848739624
Linear Weight Rank: 4
Intra Cos: 0.3772917687892914
Inter Cos: -0.04654302820563316
Norm Quadratic Average: 13.701895713806152
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9153409600257874
Inter Cos: -0.08342497050762177
Norm Quadratic Average: 12.007420539855957
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2686272096633911
Accuracy: 0.8945
NC1 Within Class Collapse: 1.3598631620407104
NC2 Equinorm: Features: 0.030134469270706177, Weights: 0.019926199689507484
NC2 Equiangle: Features: 0.2927205761273702, Weights: 0.12641320625940958
NC3 Self-Duality: 0.2044854611158371
NC4 NCC Mismatch: 0.03049999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.983980178833008
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033128932118415833
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.982658863067627
Linear Weight Rank: 179
Intra Cos: 0.06487541645765305
Inter Cos: 0.0023136595264077187
Norm Quadratic Average: 13.68204402923584
Nearest Class Center Accuracy: 0.8685

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.942442417144775
Linear Weight Rank: 179
Intra Cos: 0.09923247992992401
Inter Cos: 0.0040315245278179646
Norm Quadratic Average: 13.657787322998047
Nearest Class Center Accuracy: 0.897

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.901967525482178
Linear Weight Rank: 179
Intra Cos: 0.11691829562187195
Inter Cos: 0.004908794537186623
Norm Quadratic Average: 13.67224407196045
Nearest Class Center Accuracy: 0.8915

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.911372184753418
Linear Weight Rank: 179
Intra Cos: 0.15816769003868103
Inter Cos: -0.005598654039204121
Norm Quadratic Average: 13.606855392456055
Nearest Class Center Accuracy: 0.902

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.410632848739624
Linear Weight Rank: 4
Intra Cos: 0.2896965444087982
Inter Cos: -0.02201724424958229
Norm Quadratic Average: 13.535104751586914
Nearest Class Center Accuracy: 0.912

Output Layer:
Intra Cos: 0.7322887182235718
Inter Cos: -0.03313925489783287
Norm Quadratic Average: 11.612424850463867
Nearest Class Center Accuracy: 0.9075

