Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_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: 0.8398594260215759
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: 1.0265182256698608
Linear Weight Rank: 177
Intra Cos: 0.148910790681839
Inter Cos: 0.01408796850591898
Norm Quadratic Average: 1.1100356578826904
Nearest Class Center Accuracy: 0.9045

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.831114649772644
Linear Weight Rank: 178
Intra Cos: 0.1980760097503662
Inter Cos: 0.007898462936282158
Norm Quadratic Average: 0.758365273475647
Nearest Class Center Accuracy: 0.98875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6956117153167725
Linear Weight Rank: 178
Intra Cos: 0.5414245128631592
Inter Cos: -0.010147585533559322
Norm Quadratic Average: 0.6778064966201782
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7527764439582825
Linear Weight Rank: 178
Intra Cos: 0.9410726428031921
Inter Cos: -0.13396471738815308
Norm Quadratic Average: 0.9202587008476257
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.243232011795044
Linear Weight Rank: 4
Intra Cos: 0.9984408020973206
Inter Cos: -0.28517434000968933
Norm Quadratic Average: 2.422819137573242
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9996495842933655
Inter Cos: -0.2625122368335724
Norm Quadratic Average: 3.1390421390533447
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.1496408257484436
Accuracy: 0.9715
NC1 Within Class Collapse: 0.1931135356426239
NC2 Equinorm: Features: 0.003971470519900322, Weights: 0.01866215653717518
NC2 Equiangle: Features: 0.07958206037680308, Weights: 0.024500911434491474
NC3 Self-Duality: 0.005177761428058147
NC4 NCC Mismatch: 0.0004999999999999449

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.8398594260215759
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: 1.0265182256698608
Linear Weight Rank: 177
Intra Cos: 0.1450245976448059
Inter Cos: 0.014289304614067078
Norm Quadratic Average: 1.1143951416015625
Nearest Class Center Accuracy: 0.9055

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.831114649772644
Linear Weight Rank: 178
Intra Cos: 0.18770280480384827
Inter Cos: 0.007673234678804874
Norm Quadratic Average: 0.7604111433029175
Nearest Class Center Accuracy: 0.9535

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6956117153167725
Linear Weight Rank: 178
Intra Cos: 0.5091513395309448
Inter Cos: -0.012796797789633274
Norm Quadratic Average: 0.6677234172821045
Nearest Class Center Accuracy: 0.973

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7527764439582825
Linear Weight Rank: 178
Intra Cos: 0.8671647310256958
Inter Cos: -0.09827570617198944
Norm Quadratic Average: 0.889193594455719
Nearest Class Center Accuracy: 0.971

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.243232011795044
Linear Weight Rank: 4
Intra Cos: 0.9179413914680481
Inter Cos: -0.2184048444032669
Norm Quadratic Average: 2.3242785930633545
Nearest Class Center Accuracy: 0.971

Output Layer:
Intra Cos: 0.9189311861991882
Inter Cos: -0.19853442907333374
Norm Quadratic Average: 3.0103302001953125
Nearest Class Center Accuracy: 0.9715

