Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_3_model_type_MLP_rand_seed_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.576568603515625
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222444586455822
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.480957984924316
Linear Weight Rank: 179
Intra Cos: 0.03267926722764969
Inter Cos: -0.002937536220997572
Norm Quadratic Average: 5.081146240234375
Nearest Class Center Accuracy: 0.617375

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.546184778213501
Linear Weight Rank: 4
Intra Cos: 0.12782002985477448
Inter Cos: -0.023829983547329903
Norm Quadratic Average: 3.0519840717315674
Nearest Class Center Accuracy: 0.733

Output Layer:
Intra Cos: 0.3221614360809326
Inter Cos: -0.06950972974300385
Norm Quadratic Average: 3.7679669857025146
Nearest Class Center Accuracy: 0.753

Test Set:
Average Loss: 0.655621961593628
Accuracy: 0.7255
NC1 Within Class Collapse: 5.490500450134277
NC2 Equinorm: Features: 0.12893977761268616, Weights: 0.04621468856930733
NC2 Equiangle: Features: 0.18836438655853271, Weights: 0.037660849591096245
NC3 Self-Duality: 0.20524829626083374
NC4 NCC Mismatch: 0.10499999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.576568603515625
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.480957984924316
Linear Weight Rank: 179
Intra Cos: 0.028987592086195946
Inter Cos: -0.002940445439890027
Norm Quadratic Average: 5.080429553985596
Nearest Class Center Accuracy: 0.6145

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.546184778213501
Linear Weight Rank: 4
Intra Cos: 0.1138853058218956
Inter Cos: -0.012483637779951096
Norm Quadratic Average: 3.0440618991851807
Nearest Class Center Accuracy: 0.7115

Output Layer:
Intra Cos: 0.2928854823112488
Inter Cos: -0.047549325972795486
Norm Quadratic Average: 3.752779483795166
Nearest Class Center Accuracy: 0.7215

