Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_846264_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.6251872777938843
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
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: 0.6219486594200134
Linear Weight Rank: 179
Intra Cos: 0.05392782762646675
Inter Cos: 0.005782878026366234
Norm Quadratic Average: 0.37041547894477844
Nearest Class Center Accuracy: 0.80675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6206051111221313
Linear Weight Rank: 179
Intra Cos: 0.05705982446670532
Inter Cos: 0.010856430977582932
Norm Quadratic Average: 0.011417602188885212
Nearest Class Center Accuracy: 0.7175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6185441017150879
Linear Weight Rank: 179
Intra Cos: 0.055336106568574905
Inter Cos: 0.02490157261490822
Norm Quadratic Average: 0.0003789794282056391
Nearest Class Center Accuracy: 0.685625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6198180317878723
Linear Weight Rank: 180
Intra Cos: 0.05299690365791321
Inter Cos: 0.02388438768684864
Norm Quadratic Average: 1.2512601642811205e-05
Nearest Class Center Accuracy: 0.6415

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.08861593902111053
Linear Weight Rank: 4
Intra Cos: 0.06839688122272491
Inter Cos: 0.03744208812713623
Norm Quadratic Average: 3.9712099919597676e-07
Nearest Class Center Accuracy: 0.643

Output Layer:
Intra Cos: 0.9902282953262329
Inter Cos: 0.9908620715141296
Norm Quadratic Average: 4.71767620524588e-08
Nearest Class Center Accuracy: 0.309875

Test Set:
Average Loss: 1.3869678955078124
Accuracy: 0.257
NC1 Within Class Collapse: 58.69985580444336
NC2 Equinorm: Features: 0.21515437960624695, Weights: 0.021394941955804825
NC2 Equiangle: Features: 0.43512876828511554, Weights: 0.28662387530008954
NC3 Self-Duality: 1.470139741897583
NC4 NCC Mismatch: 0.74

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.6251872777938843
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6219486594200134
Linear Weight Rank: 179
Intra Cos: 0.05208579823374748
Inter Cos: 0.0027963484171777964
Norm Quadratic Average: 0.369861900806427
Nearest Class Center Accuracy: 0.82

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6206051111221313
Linear Weight Rank: 179
Intra Cos: 0.05501231551170349
Inter Cos: 0.00491113867610693
Norm Quadratic Average: 0.011375701054930687
Nearest Class Center Accuracy: 0.7295

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6185441017150879
Linear Weight Rank: 179
Intra Cos: 0.052291929721832275
Inter Cos: 0.015724075958132744
Norm Quadratic Average: 0.0003773014759644866
Nearest Class Center Accuracy: 0.6895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6198180317878723
Linear Weight Rank: 180
Intra Cos: 0.049745772033929825
Inter Cos: 0.01517587061971426
Norm Quadratic Average: 1.2440675163816195e-05
Nearest Class Center Accuracy: 0.639

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.08861593902111053
Linear Weight Rank: 4
Intra Cos: 0.06248895823955536
Inter Cos: 0.028847860172390938
Norm Quadratic Average: 3.956707814722904e-07
Nearest Class Center Accuracy: 0.653

Output Layer:
Intra Cos: 0.9787622094154358
Inter Cos: 0.9760874509811401
Norm Quadratic Average: 3.039138363192251e-08
Nearest Class Center Accuracy: 0.3695

