Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.291894912719727
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.313320159912109
Linear Weight Rank: 179
Intra Cos: 0.030458174645900726
Inter Cos: -0.0034247031435370445
Norm Quadratic Average: 4.379282474517822
Nearest Class Center Accuracy: 0.58825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.333675861358643
Linear Weight Rank: 179
Intra Cos: 0.07869996130466461
Inter Cos: -0.0027750220615416765
Norm Quadratic Average: 2.079031229019165
Nearest Class Center Accuracy: 0.638125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.292513370513916
Linear Weight Rank: 179
Intra Cos: 0.15433946251869202
Inter Cos: 0.01718265376985073
Norm Quadratic Average: 1.596900463104248
Nearest Class Center Accuracy: 0.647375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.314777374267578
Linear Weight Rank: 179
Intra Cos: 0.20452219247817993
Inter Cos: 0.0446496307849884
Norm Quadratic Average: 1.7174869775772095
Nearest Class Center Accuracy: 0.643

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.231934070587158
Linear Weight Rank: 4
Intra Cos: 0.23000569641590118
Inter Cos: 0.061638589948415756
Norm Quadratic Average: 2.031888246536255
Nearest Class Center Accuracy: 0.634875

Output Layer:
Intra Cos: 0.2543236315250397
Inter Cos: 0.07677783817052841
Norm Quadratic Average: 2.6272850036621094
Nearest Class Center Accuracy: 0.62725

Test Set:
Average Loss: 0.8602090377807617
Accuracy: 0.6365
NC1 Within Class Collapse: 8.675342559814453
NC2 Equinorm: Features: 0.18739239871501923, Weights: 0.10872294008731842
NC2 Equiangle: Features: 0.3875809113184611, Weights: 0.23285233974456787
NC3 Self-Duality: 0.20497848093509674
NC4 NCC Mismatch: 0.09850000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.291894912719727
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
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: 7.313320159912109
Linear Weight Rank: 179
Intra Cos: 0.029039457440376282
Inter Cos: -0.0025615431368350983
Norm Quadratic Average: 4.3885979652404785
Nearest Class Center Accuracy: 0.5875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.333675861358643
Linear Weight Rank: 179
Intra Cos: 0.06969635933637619
Inter Cos: -0.005333695560693741
Norm Quadratic Average: 2.0730817317962646
Nearest Class Center Accuracy: 0.6155

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.292513370513916
Linear Weight Rank: 179
Intra Cos: 0.13243308663368225
Inter Cos: 0.01081665325909853
Norm Quadratic Average: 1.579970359802246
Nearest Class Center Accuracy: 0.6265

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.314777374267578
Linear Weight Rank: 179
Intra Cos: 0.17483259737491608
Inter Cos: 0.03348416090011597
Norm Quadratic Average: 1.695678949356079
Nearest Class Center Accuracy: 0.631

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.231934070587158
Linear Weight Rank: 4
Intra Cos: 0.1991678923368454
Inter Cos: 0.04824458062648773
Norm Quadratic Average: 2.0076634883880615
Nearest Class Center Accuracy: 0.62

Output Layer:
Intra Cos: 0.22612619400024414
Inter Cos: 0.0621163509786129
Norm Quadratic Average: 2.6020736694335938
Nearest Class Center Accuracy: 0.607

