Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.165114641189575
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
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: 3.2097043991088867
Linear Weight Rank: 179
Intra Cos: 0.08776034414768219
Inter Cos: 0.005769005045294762
Norm Quadratic Average: 5.416887283325195
Nearest Class Center Accuracy: 0.9015

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.162837266921997
Linear Weight Rank: 179
Intra Cos: 0.1512494683265686
Inter Cos: 0.009541269391775131
Norm Quadratic Average: 5.399560928344727
Nearest Class Center Accuracy: 0.949125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1490254402160645
Linear Weight Rank: 180
Intra Cos: 0.23711997270584106
Inter Cos: -0.007940792478621006
Norm Quadratic Average: 5.390096664428711
Nearest Class Center Accuracy: 0.988875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.12290620803833
Linear Weight Rank: 179
Intra Cos: 0.4201868772506714
Inter Cos: -0.022402707487344742
Norm Quadratic Average: 5.377079486846924
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8284801244735718
Linear Weight Rank: 4
Intra Cos: 0.8124629855155945
Inter Cos: -0.179256871342659
Norm Quadratic Average: 5.666784286499023
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9831570982933044
Inter Cos: -0.18777935206890106
Norm Quadratic Average: 5.259182929992676
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2022730278968811
Accuracy: 0.9235
NC1 Within Class Collapse: 0.7259998917579651
NC2 Equinorm: Features: 0.025638151913881302, Weights: 0.020582644268870354
NC2 Equiangle: Features: 0.1892108917236328, Weights: 0.04346641401449839
NC3 Self-Duality: 0.11055772006511688
NC4 NCC Mismatch: 0.006000000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.165114641189575
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.0033128932118415833
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: 3.2097043991088867
Linear Weight Rank: 179
Intra Cos: 0.08640510588884354
Inter Cos: 0.005659874528646469
Norm Quadratic Average: 5.4117655754089355
Nearest Class Center Accuracy: 0.9045

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.162837266921997
Linear Weight Rank: 179
Intra Cos: 0.144705668091774
Inter Cos: 0.0087271211668849
Norm Quadratic Average: 5.411967754364014
Nearest Class Center Accuracy: 0.927

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1490254402160645
Linear Weight Rank: 180
Intra Cos: 0.21945025026798248
Inter Cos: 0.0025602933019399643
Norm Quadratic Average: 5.409377098083496
Nearest Class Center Accuracy: 0.9315

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.12290620803833
Linear Weight Rank: 179
Intra Cos: 0.34755417704582214
Inter Cos: -0.01198295596987009
Norm Quadratic Average: 5.332591533660889
Nearest Class Center Accuracy: 0.94

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8284801244735718
Linear Weight Rank: 4
Intra Cos: 0.6155629754066467
Inter Cos: -0.08594782650470734
Norm Quadratic Average: 5.330722332000732
Nearest Class Center Accuracy: 0.9265

Output Layer:
Intra Cos: 0.7935460209846497
Inter Cos: -0.08603406697511673
Norm Quadratic Average: 4.837863922119141
Nearest Class Center Accuracy: 0.926

