Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.182069301605225
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: 5.121586322784424
Linear Weight Rank: 179
Intra Cos: 0.03066827729344368
Inter Cos: -0.0006324101705104113
Norm Quadratic Average: 3.059703826904297
Nearest Class Center Accuracy: 0.577875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.113023281097412
Linear Weight Rank: 179
Intra Cos: 0.05558276176452637
Inter Cos: 0.048110220581293106
Norm Quadratic Average: 1.0089510679244995
Nearest Class Center Accuracy: 0.510125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.131059646606445
Linear Weight Rank: 180
Intra Cos: 0.08492106944322586
Inter Cos: 0.1151547059416771
Norm Quadratic Average: 0.5435418486595154
Nearest Class Center Accuracy: 0.433875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.120405673980713
Linear Weight Rank: 180
Intra Cos: 0.08043232560157776
Inter Cos: 0.15555621683597565
Norm Quadratic Average: 0.39088213443756104
Nearest Class Center Accuracy: 0.4065

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.177207112312317
Linear Weight Rank: 4
Intra Cos: 0.06054483354091644
Inter Cos: 0.17253592610359192
Norm Quadratic Average: 0.32933521270751953
Nearest Class Center Accuracy: 0.4005

Output Layer:
Intra Cos: 0.04186168313026428
Inter Cos: 0.17695215344429016
Norm Quadratic Average: 0.29678940773010254
Nearest Class Center Accuracy: 0.399375

Test Set:
Average Loss: 1.3229778900146485
Accuracy: 0.359
NC1 Within Class Collapse: 17.577308654785156
NC2 Equinorm: Features: 0.504152774810791, Weights: 0.19253847002983093
NC2 Equiangle: Features: 0.8786724408467611, Weights: 0.33223243554433185
NC3 Self-Duality: 0.43532925844192505
NC4 NCC Mismatch: 0.5795

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.182069301605225
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: 5.121586322784424
Linear Weight Rank: 179
Intra Cos: 0.027270447462797165
Inter Cos: -0.0010726898908615112
Norm Quadratic Average: 3.062744617462158
Nearest Class Center Accuracy: 0.5745

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.113023281097412
Linear Weight Rank: 179
Intra Cos: 0.04168814420700073
Inter Cos: 0.03738196939229965
Norm Quadratic Average: 1.005804181098938
Nearest Class Center Accuracy: 0.5055

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.131059646606445
Linear Weight Rank: 180
Intra Cos: 0.058866411447525024
Inter Cos: 0.09450521320104599
Norm Quadratic Average: 0.5385728478431702
Nearest Class Center Accuracy: 0.441

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.120405673980713
Linear Weight Rank: 180
Intra Cos: 0.06961638480424881
Inter Cos: 0.13367371261119843
Norm Quadratic Average: 0.3863965570926666
Nearest Class Center Accuracy: 0.4165

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.177207112312317
Linear Weight Rank: 4
Intra Cos: 0.06978297233581543
Inter Cos: 0.15081612765789032
Norm Quadratic Average: 0.3254111707210541
Nearest Class Center Accuracy: 0.3995

Output Layer:
Intra Cos: 0.0638185515999794
Inter Cos: 0.15548507869243622
Norm Quadratic Average: 0.29326027631759644
Nearest Class Center Accuracy: 0.3975

