Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9516546726226807
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 3.002600908279419
Linear Weight Rank: 180
Intra Cos: 0.08738364279270172
Inter Cos: 0.005537151359021664
Norm Quadratic Average: 5.009392261505127
Nearest Class Center Accuracy: 0.8905

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9524848461151123
Linear Weight Rank: 179
Intra Cos: 0.14743317663669586
Inter Cos: 0.004487724509090185
Norm Quadratic Average: 4.998694896697998
Nearest Class Center Accuracy: 0.958

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.92175030708313
Linear Weight Rank: 179
Intra Cos: 0.24679134786128998
Inter Cos: 0.006102532148361206
Norm Quadratic Average: 4.9962477684021
Nearest Class Center Accuracy: 0.991375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.921325445175171
Linear Weight Rank: 179
Intra Cos: 0.4453953504562378
Inter Cos: -0.016762446612119675
Norm Quadratic Average: 4.992074012756348
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8468440771102905
Linear Weight Rank: 4
Intra Cos: 0.8438937664031982
Inter Cos: -0.18456150591373444
Norm Quadratic Average: 5.350675106048584
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9886133670806885
Inter Cos: -0.193416565656662
Norm Quadratic Average: 5.114076137542725
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2024197015762329
Accuracy: 0.9155
NC1 Within Class Collapse: 0.704583466053009
NC2 Equinorm: Features: 0.027543962001800537, Weights: 0.01851365901529789
NC2 Equiangle: Features: 0.18929757674535116, Weights: 0.03845273951689402
NC3 Self-Duality: 0.10103041678667068
NC4 NCC Mismatch: 0.008000000000000007

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9516546726226807
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.002600908279419
Linear Weight Rank: 180
Intra Cos: 0.08976946026086807
Inter Cos: 0.00563517352566123
Norm Quadratic Average: 5.008603096008301
Nearest Class Center Accuracy: 0.894

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9524848461151123
Linear Weight Rank: 179
Intra Cos: 0.14120815694332123
Inter Cos: 0.0051708705723285675
Norm Quadratic Average: 5.008883476257324
Nearest Class Center Accuracy: 0.9355

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.92175030708313
Linear Weight Rank: 179
Intra Cos: 0.22459053993225098
Inter Cos: 0.01288211066275835
Norm Quadratic Average: 5.005516052246094
Nearest Class Center Accuracy: 0.943

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.921325445175171
Linear Weight Rank: 179
Intra Cos: 0.3635020852088928
Inter Cos: 0.001988123171031475
Norm Quadratic Average: 4.943192481994629
Nearest Class Center Accuracy: 0.93

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8468440771102905
Linear Weight Rank: 4
Intra Cos: 0.6457973122596741
Inter Cos: -0.0898846834897995
Norm Quadratic Average: 5.004825115203857
Nearest Class Center Accuracy: 0.9175

Output Layer:
Intra Cos: 0.799360454082489
Inter Cos: -0.0822104886174202
Norm Quadratic Average: 4.678961753845215
Nearest Class Center Accuracy: 0.9165

