Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_weight_decay_0.001_weight_norm_True.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.832893371582031
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222444586455822
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: 10.444448471069336
Intra Cos: 0.03365074470639229
Inter Cos: -0.0060315509326756
Norm Quadratic Average: 3.5294992923736572
Nearest Class Center Accuracy: 0.652125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.249799728393555
Intra Cos: 0.05268298089504242
Inter Cos: -0.011033325456082821
Norm Quadratic Average: 3.1418020725250244
Nearest Class Center Accuracy: 0.813375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.792542934417725
Intra Cos: 0.12216473370790482
Inter Cos: -0.03504756838083267
Norm Quadratic Average: 2.4317657947540283
Nearest Class Center Accuracy: 0.977125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.485560655593872
Intra Cos: 0.3942163288593292
Inter Cos: -0.1317354440689087
Norm Quadratic Average: 1.6622830629348755
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.7476093769073486
Intra Cos: 0.9205181002616882
Inter Cos: -0.23333150148391724
Norm Quadratic Average: 3.774998188018799
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9796265959739685
Inter Cos: -0.2238919734954834
Norm Quadratic Average: 7.902486801147461
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.9875810623168946
Accuracy: 0.7515
NC1 Within Class Collapse: 2.539462089538574
NC2 Equinorm: Features: 0.049571018666028976, Weights: 0.013835614547133446
NC2 Equiangle: Features: 0.042105828722318016, Weights: 0.011745760838190714
NC3 Self-Duality: 0.01097168680280447
NC4 NCC Mismatch: 0.01849999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.832893371582031
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549723584204912
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.444448471069336
Intra Cos: 0.029996156692504883
Inter Cos: -0.004675890784710646
Norm Quadratic Average: 3.534189462661743
Nearest Class Center Accuracy: 0.642

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.249799728393555
Intra Cos: 0.0400080531835556
Inter Cos: -0.004377903416752815
Norm Quadratic Average: 3.1328155994415283
Nearest Class Center Accuracy: 0.7185

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.792542934417725
Intra Cos: 0.06822411715984344
Inter Cos: -0.017743578180670738
Norm Quadratic Average: 2.3696839809417725
Nearest Class Center Accuracy: 0.763

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.485560655593872
Intra Cos: 0.16814664006233215
Inter Cos: -0.03555482253432274
Norm Quadratic Average: 1.5116032361984253
Nearest Class Center Accuracy: 0.755

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.7476093769073486
Intra Cos: 0.4253045618534088
Inter Cos: -0.09063667804002762
Norm Quadratic Average: 3.3089864253997803
Nearest Class Center Accuracy: 0.7545

Output Layer:
Intra Cos: 0.4761350750923157
Inter Cos: -0.10496058315038681
Norm Quadratic Average: 6.788569927215576
Nearest Class Center Accuracy: 0.754

