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_314159_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.6191034317016602
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6201834082603455
Linear Weight Rank: 179
Intra Cos: 0.06358779966831207
Inter Cos: 0.007509531453251839
Norm Quadratic Average: 0.3689013421535492
Nearest Class Center Accuracy: 0.82275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6216605305671692
Linear Weight Rank: 179
Intra Cos: 0.05507125332951546
Inter Cos: 0.004481598734855652
Norm Quadratic Average: 0.010543247684836388
Nearest Class Center Accuracy: 0.714

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6172313690185547
Linear Weight Rank: 179
Intra Cos: 0.045939262956380844
Inter Cos: 0.0030603937339037657
Norm Quadratic Average: 0.0003251011949032545
Nearest Class Center Accuracy: 0.662

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6179366111755371
Linear Weight Rank: 180
Intra Cos: 0.04526301845908165
Inter Cos: 0.006582722999155521
Norm Quadratic Average: 9.973653504857793e-06
Nearest Class Center Accuracy: 0.628625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.08948545157909393
Linear Weight Rank: 4
Intra Cos: 0.046209074556827545
Inter Cos: 0.009549609385430813
Norm Quadratic Average: 3.082275839005888e-07
Nearest Class Center Accuracy: 0.60875

Output Layer:
Intra Cos: 0.9905107021331787
Inter Cos: 0.9912298917770386
Norm Quadratic Average: 4.177155688012135e-08
Nearest Class Center Accuracy: 0.289375

Test Set:
Average Loss: 1.3869834403991699
Accuracy: 0.257
NC1 Within Class Collapse: 56.21141052246094
NC2 Equinorm: Features: 0.05421452596783638, Weights: 0.0333348773419857
NC2 Equiangle: Features: 0.41559529304504395, Weights: 0.32490583260854083
NC3 Self-Duality: 1.668887734413147
NC4 NCC Mismatch: 0.782

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.6191034317016602
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 0.6201834082603455
Linear Weight Rank: 179
Intra Cos: 0.06332188099622726
Inter Cos: 0.009268813766539097
Norm Quadratic Average: 0.3684007525444031
Nearest Class Center Accuracy: 0.8245

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6216605305671692
Linear Weight Rank: 179
Intra Cos: 0.05371391773223877
Inter Cos: 0.005760246887803078
Norm Quadratic Average: 0.010539508424699306
Nearest Class Center Accuracy: 0.726

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6172313690185547
Linear Weight Rank: 179
Intra Cos: 0.04356173425912857
Inter Cos: 0.005997628439217806
Norm Quadratic Average: 0.0003250699082855135
Nearest Class Center Accuracy: 0.671

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6179366111755371
Linear Weight Rank: 180
Intra Cos: 0.041447173804044724
Inter Cos: 0.009651454165577888
Norm Quadratic Average: 9.960414899978787e-06
Nearest Class Center Accuracy: 0.631

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.08948545157909393
Linear Weight Rank: 4
Intra Cos: 0.043074361979961395
Inter Cos: 0.00973258726298809
Norm Quadratic Average: 3.0849884069539257e-07
Nearest Class Center Accuracy: 0.6185

Output Layer:
Intra Cos: 0.9925102591514587
Inter Cos: 0.993086576461792
Norm Quadratic Average: 4.367702644003657e-08
Nearest Class Center Accuracy: 0.1525

