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_979323_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.7400406002998352
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
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: 0.7322548627853394
Linear Weight Rank: 180
Intra Cos: 0.023467622697353363
Inter Cos: -0.004851239733397961
Norm Quadratic Average: 0.4419848918914795
Nearest Class Center Accuracy: 0.56525

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7315519452095032
Linear Weight Rank: 180
Intra Cos: 0.02401544339954853
Inter Cos: -0.004121086560189724
Norm Quadratic Average: 0.015672648325562477
Nearest Class Center Accuracy: 0.5345

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.736366331577301
Linear Weight Rank: 179
Intra Cos: 0.0228367168456316
Inter Cos: -0.0015759797533974051
Norm Quadratic Average: 0.0005617046263068914
Nearest Class Center Accuracy: 0.5205

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7330275177955627
Linear Weight Rank: 180
Intra Cos: 0.02448805421590805
Inter Cos: 0.0013278704136610031
Norm Quadratic Average: 2.1396263036876917e-05
Nearest Class Center Accuracy: 0.490125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.11170973628759384
Linear Weight Rank: 4
Intra Cos: 0.01942787878215313
Inter Cos: 0.0027536770794540644
Norm Quadratic Average: 7.720681765022164e-07
Nearest Class Center Accuracy: 0.465875

Output Layer:
Intra Cos: 0.9972872734069824
Inter Cos: 0.9973180890083313
Norm Quadratic Average: 1.1474828198743126e-07
Nearest Class Center Accuracy: 0.21475

Test Set:
Average Loss: 1.3859707069396974
Accuracy: 0.255
NC1 Within Class Collapse: 25.44147491455078
NC2 Equinorm: Features: 0.27538585662841797, Weights: 0.07716117799282074
NC2 Equiangle: Features: 0.22551701466242471, Weights: 0.3000489075978597
NC3 Self-Duality: 1.623186707496643
NC4 NCC Mismatch: 0.83

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.7400406002998352
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 0.7322548627853394
Linear Weight Rank: 180
Intra Cos: 0.02221091091632843
Inter Cos: -0.004250740632414818
Norm Quadratic Average: 0.440929114818573
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7315519452095032
Linear Weight Rank: 180
Intra Cos: 0.023295942693948746
Inter Cos: -0.0044958870857954025
Norm Quadratic Average: 0.015598413534462452
Nearest Class Center Accuracy: 0.541

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.736366331577301
Linear Weight Rank: 179
Intra Cos: 0.022723132744431496
Inter Cos: -0.0017693070694804192
Norm Quadratic Average: 0.0005592147936113179
Nearest Class Center Accuracy: 0.535

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7330275177955627
Linear Weight Rank: 180
Intra Cos: 0.022958125919103622
Inter Cos: 0.001147150294855237
Norm Quadratic Average: 2.1229579942882992e-05
Nearest Class Center Accuracy: 0.4995

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.11170973628759384
Linear Weight Rank: 4
Intra Cos: 0.017665842548012733
Inter Cos: 0.001971673918887973
Norm Quadratic Average: 7.691050427638402e-07
Nearest Class Center Accuracy: 0.4805

Output Layer:
Intra Cos: 0.992600679397583
Inter Cos: 0.994421124458313
Norm Quadratic Average: 9.54516892193169e-08
Nearest Class Center Accuracy: 0.314

