Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.899396896362305
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.277984619140625
Linear Weight Rank: 179
Intra Cos: 0.013143935240805149
Inter Cos: 0.0047121248207986355
Norm Quadratic Average: 10.080714225769043
Nearest Class Center Accuracy: 0.45925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.182000160217285
Linear Weight Rank: 179
Intra Cos: 0.012296732515096664
Inter Cos: 0.002995577408000827
Norm Quadratic Average: 10.067248344421387
Nearest Class Center Accuracy: 0.49175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.0624613761901855
Linear Weight Rank: 179
Intra Cos: 0.013855361379683018
Inter Cos: 0.0030126178171485662
Norm Quadratic Average: 10.034926414489746
Nearest Class Center Accuracy: 0.525875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.994470119476318
Linear Weight Rank: 180
Intra Cos: 0.01967739686369896
Inter Cos: 0.00220927014015615
Norm Quadratic Average: 10.026721954345703
Nearest Class Center Accuracy: 0.610625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.942040920257568
Linear Weight Rank: 180
Intra Cos: 0.027940545231103897
Inter Cos: 0.0031835814006626606
Norm Quadratic Average: 10.017484664916992
Nearest Class Center Accuracy: 0.740625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.868964195251465
Linear Weight Rank: 180
Intra Cos: 0.04707915708422661
Inter Cos: -0.006039098370820284
Norm Quadratic Average: 10.035066604614258
Nearest Class Center Accuracy: 0.926375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.834167957305908
Linear Weight Rank: 179
Intra Cos: 0.1259051412343979
Inter Cos: -0.03043997474014759
Norm Quadratic Average: 10.081208229064941
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2822535037994385
Linear Weight Rank: 4
Intra Cos: 0.40193670988082886
Inter Cos: -0.1172846183180809
Norm Quadratic Average: 10.511932373046875
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9374959468841553
Inter Cos: -0.2305937111377716
Norm Quadratic Average: 8.754916191101074
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.1216037673950194
Accuracy: 0.51
NC1 Within Class Collapse: 15.063007354736328
NC2 Equinorm: Features: 0.048474568873643875, Weights: 0.038997624069452286
NC2 Equiangle: Features: 0.2752307653427124, Weights: 0.048300132155418396
NC3 Self-Duality: 0.18956416845321655
NC4 NCC Mismatch: 0.05349999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.899396896362305
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.277984619140625
Linear Weight Rank: 179
Intra Cos: 0.014344602823257446
Inter Cos: 0.004625397268682718
Norm Quadratic Average: 10.044878005981445
Nearest Class Center Accuracy: 0.462

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.182000160217285
Linear Weight Rank: 179
Intra Cos: 0.012004817835986614
Inter Cos: 0.002928662346675992
Norm Quadratic Average: 10.042997360229492
Nearest Class Center Accuracy: 0.489

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.0624613761901855
Linear Weight Rank: 179
Intra Cos: 0.011041640304028988
Inter Cos: 0.0030589154921472073
Norm Quadratic Average: 10.004685401916504
Nearest Class Center Accuracy: 0.491

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.994470119476318
Linear Weight Rank: 180
Intra Cos: 0.012501316145062447
Inter Cos: 0.002510760212317109
Norm Quadratic Average: 9.966127395629883
Nearest Class Center Accuracy: 0.5065

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.942040920257568
Linear Weight Rank: 180
Intra Cos: 0.0128799919039011
Inter Cos: 0.004462222568690777
Norm Quadratic Average: 9.881021499633789
Nearest Class Center Accuracy: 0.5095

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.868964195251465
Linear Weight Rank: 180
Intra Cos: 0.0119758490473032
Inter Cos: 0.003982581198215485
Norm Quadratic Average: 9.790081024169922
Nearest Class Center Accuracy: 0.524

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.834167957305908
Linear Weight Rank: 179
Intra Cos: 0.018679583445191383
Inter Cos: 0.0036059310659766197
Norm Quadratic Average: 9.47533893585205
Nearest Class Center Accuracy: 0.531

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2822535037994385
Linear Weight Rank: 4
Intra Cos: 0.04558786749839783
Inter Cos: 0.004805410746484995
Norm Quadratic Average: 8.997217178344727
Nearest Class Center Accuracy: 0.5165

Output Layer:
Intra Cos: 0.1284879893064499
Inter Cos: 0.021437164396047592
Norm Quadratic Average: 6.354329586029053
Nearest Class Center Accuracy: 0.5095

