Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.752772808074951
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: 5.733484268188477
Linear Weight Rank: 179
Intra Cos: 0.0783744677901268
Inter Cos: 0.005529804155230522
Norm Quadratic Average: 9.838436126708984
Nearest Class Center Accuracy: 0.88525

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.705836772918701
Linear Weight Rank: 179
Intra Cos: 0.12468809634447098
Inter Cos: 0.004187562502920628
Norm Quadratic Average: 9.82384967803955
Nearest Class Center Accuracy: 0.9315

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.728113174438477
Linear Weight Rank: 180
Intra Cos: 0.178411066532135
Inter Cos: -0.0001713653327897191
Norm Quadratic Average: 9.820944786071777
Nearest Class Center Accuracy: 0.97125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.694421768188477
Linear Weight Rank: 180
Intra Cos: 0.2602621912956238
Inter Cos: -0.013562818989157677
Norm Quadratic Average: 9.779105186462402
Nearest Class Center Accuracy: 0.99975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0797104835510254
Linear Weight Rank: 4
Intra Cos: 0.49541759490966797
Inter Cos: -0.07683828473091125
Norm Quadratic Average: 9.928807258605957
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.948363721370697
Inter Cos: -0.09401309490203857
Norm Quadratic Average: 8.418843269348145
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.22609305572509766
Accuracy: 0.914
NC1 Within Class Collapse: 1.0772812366485596
NC2 Equinorm: Features: 0.007825139909982681, Weights: 0.016866933554410934
NC2 Equiangle: Features: 0.2660236756006877, Weights: 0.10190283258756001
NC3 Self-Duality: 0.17856860160827637
NC4 NCC Mismatch: 0.011499999999999955

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.752772808074951
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: 5.733484268188477
Linear Weight Rank: 179
Intra Cos: 0.07688184082508087
Inter Cos: 0.005727073177695274
Norm Quadratic Average: 9.82823371887207
Nearest Class Center Accuracy: 0.8905

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.705836772918701
Linear Weight Rank: 179
Intra Cos: 0.11981946974992752
Inter Cos: 0.0037127730902284384
Norm Quadratic Average: 9.838433265686035
Nearest Class Center Accuracy: 0.9125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.728113174438477
Linear Weight Rank: 180
Intra Cos: 0.16260819137096405
Inter Cos: 0.00835537537932396
Norm Quadratic Average: 9.857050895690918
Nearest Class Center Accuracy: 0.918

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.694421768188477
Linear Weight Rank: 180
Intra Cos: 0.22438278794288635
Inter Cos: -0.007281281985342503
Norm Quadratic Average: 9.746916770935059
Nearest Class Center Accuracy: 0.9275

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0797104835510254
Linear Weight Rank: 4
Intra Cos: 0.37728506326675415
Inter Cos: -0.029041878879070282
Norm Quadratic Average: 9.666994094848633
Nearest Class Center Accuracy: 0.9185

Output Layer:
Intra Cos: 0.7575951218605042
Inter Cos: -0.016880013048648834
Norm Quadratic Average: 7.981649875640869
Nearest Class Center Accuracy: 0.92

