Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.125329971313477
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.0062224469147622585
Norm Quadratic Average: 3.9938883781433105
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.127029418945312
Linear Weight Rank: 180
Intra Cos: 0.02565472014248371
Inter Cos: -0.004525575786828995
Norm Quadratic Average: 13.931347846984863
Nearest Class Center Accuracy: 0.574875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.077532768249512
Linear Weight Rank: 179
Intra Cos: 0.029145894572138786
Inter Cos: -0.002678253687918186
Norm Quadratic Average: 13.92294979095459
Nearest Class Center Accuracy: 0.63175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.096168518066406
Linear Weight Rank: 179
Intra Cos: 0.0358646959066391
Inter Cos: -0.00602595554664731
Norm Quadratic Average: 13.911378860473633
Nearest Class Center Accuracy: 0.75025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039396286010742
Linear Weight Rank: 180
Intra Cos: 0.06568839401006699
Inter Cos: -0.015867045149207115
Norm Quadratic Average: 13.861648559570312
Nearest Class Center Accuracy: 0.945375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8593590259552
Linear Weight Rank: 4
Intra Cos: 0.20550891757011414
Inter Cos: -0.057347334921360016
Norm Quadratic Average: 14.119423866271973
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8574130535125732
Inter Cos: -0.17561480402946472
Norm Quadratic Average: 11.383514404296875
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0910648765563964
Accuracy: 0.734
NC1 Within Class Collapse: 3.776050567626953
NC2 Equinorm: Features: 0.06516297161579132, Weights: 0.03133256360888481
NC2 Equiangle: Features: 0.08771449327468872, Weights: 0.055093164245287575
NC3 Self-Duality: 0.1981744021177292
NC4 NCC Mismatch: 0.06299999999999994

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.125329971313477
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.0045497240498661995
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: 8.127029418945312
Linear Weight Rank: 180
Intra Cos: 0.02383488416671753
Inter Cos: -0.0033408114686608315
Norm Quadratic Average: 13.934367179870605
Nearest Class Center Accuracy: 0.59

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.077532768249512
Linear Weight Rank: 179
Intra Cos: 0.0252360962331295
Inter Cos: -0.0009366011363454163
Norm Quadratic Average: 13.9070463180542
Nearest Class Center Accuracy: 0.6185

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.096168518066406
Linear Weight Rank: 179
Intra Cos: 0.02577492967247963
Inter Cos: -0.0027096897829324007
Norm Quadratic Average: 13.913159370422363
Nearest Class Center Accuracy: 0.669

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039396286010742
Linear Weight Rank: 180
Intra Cos: 0.03694367781281471
Inter Cos: -0.004931875504553318
Norm Quadratic Average: 13.809318542480469
Nearest Class Center Accuracy: 0.715

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8593590259552
Linear Weight Rank: 4
Intra Cos: 0.08951082825660706
Inter Cos: -0.01587924174964428
Norm Quadratic Average: 13.836565017700195
Nearest Class Center Accuracy: 0.745

Output Layer:
Intra Cos: 0.3986314833164215
Inter Cos: -0.06682980805635452
Norm Quadratic Average: 10.45630168914795
Nearest Class Center Accuracy: 0.73

