Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.238260269165039
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 8.131650924682617
Linear Weight Rank: 179
Intra Cos: 0.05926172807812691
Inter Cos: 0.005235787481069565
Norm Quadratic Average: 4.831442356109619
Nearest Class Center Accuracy: 0.8075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112879753112793
Linear Weight Rank: 179
Intra Cos: 0.061425041407346725
Inter Cos: 0.005775350611656904
Norm Quadratic Average: 1.8262393474578857
Nearest Class Center Accuracy: 0.72825

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.137986183166504
Linear Weight Rank: 180
Intra Cos: 0.061236850917339325
Inter Cos: 0.008228683844208717
Norm Quadratic Average: 0.6965460181236267
Nearest Class Center Accuracy: 0.67725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109814643859863
Linear Weight Rank: 180
Intra Cos: 0.06483063846826553
Inter Cos: 0.011051321402192116
Norm Quadratic Average: 0.27133503556251526
Nearest Class Center Accuracy: 0.68275

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131468772888184
Linear Weight Rank: 180
Intra Cos: 0.06480533629655838
Inter Cos: 0.008946522139012814
Norm Quadratic Average: 0.11237747967243195
Nearest Class Center Accuracy: 0.6425

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.110994338989258
Linear Weight Rank: 180
Intra Cos: 0.07455286383628845
Inter Cos: 0.022946873679757118
Norm Quadratic Average: 0.047456610947847366
Nearest Class Center Accuracy: 0.623875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.110230445861816
Linear Weight Rank: 180
Intra Cos: 0.0839185118675232
Inter Cos: 0.021956667304039
Norm Quadratic Average: 0.018744440749287605
Nearest Class Center Accuracy: 0.61075

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.16481614112854
Linear Weight Rank: 4
Intra Cos: 0.0939624011516571
Inter Cos: 0.019382471218705177
Norm Quadratic Average: 0.008364764042198658
Nearest Class Center Accuracy: 0.61225

Output Layer:
Intra Cos: 0.14653854072093964
Inter Cos: 0.048571694642305374
Norm Quadratic Average: 0.001497550867497921
Nearest Class Center Accuracy: 0.58625

Test Set:
Average Loss: 1.386920124053955
Accuracy: 0.257
NC1 Within Class Collapse: 36.13932800292969
NC2 Equinorm: Features: 0.37714630365371704, Weights: 0.05531265586614609
NC2 Equiangle: Features: 0.43533511956532794, Weights: 0.31618865331013996
NC3 Self-Duality: 1.488478660583496
NC4 NCC Mismatch: 0.7095

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.238260269165039
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 8.131650924682617
Linear Weight Rank: 179
Intra Cos: 0.060903556644916534
Inter Cos: 0.002637183293700218
Norm Quadratic Average: 4.822195529937744
Nearest Class Center Accuracy: 0.811

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112879753112793
Linear Weight Rank: 179
Intra Cos: 0.06067955493927002
Inter Cos: 0.005040592979639769
Norm Quadratic Average: 1.8217113018035889
Nearest Class Center Accuracy: 0.743

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.137986183166504
Linear Weight Rank: 180
Intra Cos: 0.06258977204561234
Inter Cos: 0.010807814076542854
Norm Quadratic Average: 0.6956060528755188
Nearest Class Center Accuracy: 0.704

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109814643859863
Linear Weight Rank: 180
Intra Cos: 0.06654439866542816
Inter Cos: 0.007507380563765764
Norm Quadratic Average: 0.270652711391449
Nearest Class Center Accuracy: 0.71

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131468772888184
Linear Weight Rank: 180
Intra Cos: 0.06479091942310333
Inter Cos: 0.016951726749539375
Norm Quadratic Average: 0.11207381635904312
Nearest Class Center Accuracy: 0.661

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.110994338989258
Linear Weight Rank: 180
Intra Cos: 0.07519874721765518
Inter Cos: 0.03304336220026016
Norm Quadratic Average: 0.047567982226610184
Nearest Class Center Accuracy: 0.6375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.110230445861816
Linear Weight Rank: 180
Intra Cos: 0.08555717766284943
Inter Cos: 0.03418827801942825
Norm Quadratic Average: 0.018768124282360077
Nearest Class Center Accuracy: 0.6195

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.16481614112854
Linear Weight Rank: 4
Intra Cos: 0.09521546959877014
Inter Cos: 0.03287710249423981
Norm Quadratic Average: 0.008387994021177292
Nearest Class Center Accuracy: 0.622

Output Layer:
Intra Cos: 0.16370148956775665
Inter Cos: 0.07273098826408386
Norm Quadratic Average: 0.0015056084375828505
Nearest Class Center Accuracy: 0.5955

