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_979323_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.166001319885254
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 1.3309413194656372
Linear Weight Rank: 179
Intra Cos: 0.1131739541888237
Inter Cos: 0.008571108803153038
Norm Quadratic Average: 1.7951642274856567
Nearest Class Center Accuracy: 0.89275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1811299324035645
Linear Weight Rank: 178
Intra Cos: 0.18372613191604614
Inter Cos: 0.011193545535206795
Norm Quadratic Average: 1.610426425933838
Nearest Class Center Accuracy: 0.97875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0863078832626343
Linear Weight Rank: 179
Intra Cos: 0.4090249538421631
Inter Cos: -0.026476923376321793
Norm Quadratic Average: 1.5682586431503296
Nearest Class Center Accuracy: 0.99975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0768043994903564
Linear Weight Rank: 179
Intra Cos: 0.8035785555839539
Inter Cos: -0.10338594019412994
Norm Quadratic Average: 1.688454508781433
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1599414348602295
Linear Weight Rank: 4
Intra Cos: 0.9914838671684265
Inter Cos: -0.2659585475921631
Norm Quadratic Average: 2.759892463684082
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9993711113929749
Inter Cos: -0.24620845913887024
Norm Quadratic Average: 3.4243414402008057
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.15969701290130614
Accuracy: 0.957
NC1 Within Class Collapse: 0.27516013383865356
NC2 Equinorm: Features: 0.011603997088968754, Weights: 0.01969529688358307
NC2 Equiangle: Features: 0.09807679057121277, Weights: 0.022732744614283245
NC3 Self-Duality: 0.01230265200138092
NC4 NCC Mismatch: 0.0024999999999999467

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.166001319885254
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
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: 1.3309413194656372
Linear Weight Rank: 179
Intra Cos: 0.11218859255313873
Inter Cos: 0.004712916910648346
Norm Quadratic Average: 1.792500376701355
Nearest Class Center Accuracy: 0.894

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1811299324035645
Linear Weight Rank: 178
Intra Cos: 0.1765245944261551
Inter Cos: 0.010545279830694199
Norm Quadratic Average: 1.6086177825927734
Nearest Class Center Accuracy: 0.9475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0863078832626343
Linear Weight Rank: 179
Intra Cos: 0.3779655396938324
Inter Cos: -0.005173709709197283
Norm Quadratic Average: 1.55303156375885
Nearest Class Center Accuracy: 0.964

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0768043994903564
Linear Weight Rank: 179
Intra Cos: 0.7052279710769653
Inter Cos: -0.052625685930252075
Norm Quadratic Average: 1.6436814069747925
Nearest Class Center Accuracy: 0.962

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1599414348602295
Linear Weight Rank: 4
Intra Cos: 0.8883885145187378
Inter Cos: -0.1854560226202011
Norm Quadratic Average: 2.617147207260132
Nearest Class Center Accuracy: 0.9595

Output Layer:
Intra Cos: 0.8978104591369629
Inter Cos: -0.16872084140777588
Norm Quadratic Average: 3.2417562007904053
Nearest Class Center Accuracy: 0.959

