Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.169525623321533
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.076696395874023
Linear Weight Rank: 179
Intra Cos: 0.02865569479763508
Inter Cos: -0.003977573476731777
Norm Quadratic Average: 4.203577995300293
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060422897338867
Linear Weight Rank: 179
Intra Cos: 0.026136664673686028
Inter Cos: -0.003564452053979039
Norm Quadratic Average: 1.3754940032958984
Nearest Class Center Accuracy: 0.537

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.08226203918457
Linear Weight Rank: 180
Intra Cos: 0.022524656727910042
Inter Cos: -0.0024524065665900707
Norm Quadratic Average: 0.4513944685459137
Nearest Class Center Accuracy: 0.533

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.057701587677002
Linear Weight Rank: 180
Intra Cos: 0.022626202553510666
Inter Cos: 0.0001491541333962232
Norm Quadratic Average: 0.15161605179309845
Nearest Class Center Accuracy: 0.514875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.076603889465332
Linear Weight Rank: 180
Intra Cos: 0.02330612763762474
Inter Cos: -8.281612826976925e-05
Norm Quadratic Average: 0.053815893828868866
Nearest Class Center Accuracy: 0.51075

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.058657169342041
Linear Weight Rank: 180
Intra Cos: 0.021857481449842453
Inter Cos: 0.002197835361585021
Norm Quadratic Average: 0.0181571114808321
Nearest Class Center Accuracy: 0.494125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.057833671569824
Linear Weight Rank: 180
Intra Cos: 0.02188694104552269
Inter Cos: 0.005603162106126547
Norm Quadratic Average: 0.00589254405349493
Nearest Class Center Accuracy: 0.470375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.008774757385254
Linear Weight Rank: 4
Intra Cos: 0.0222308412194252
Inter Cos: 0.005888687446713448
Norm Quadratic Average: 0.0021729646250605583
Nearest Class Center Accuracy: 0.461625

Output Layer:
Intra Cos: 0.025176767259836197
Inter Cos: 0.012610400095582008
Norm Quadratic Average: 0.00016266615421045572
Nearest Class Center Accuracy: 0.38925

Test Set:
Average Loss: 1.3867109336853027
Accuracy: 0.255
NC1 Within Class Collapse: 23.094938278198242
NC2 Equinorm: Features: 0.1216844692826271, Weights: 0.05625957250595093
NC2 Equiangle: Features: 0.31869091590245563, Weights: 0.319052517414093
NC3 Self-Duality: 1.7461954355239868
NC4 NCC Mismatch: 0.7635000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.169525623321533
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
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: 7.076696395874023
Linear Weight Rank: 179
Intra Cos: 0.025954127311706543
Inter Cos: -0.003692949190735817
Norm Quadratic Average: 4.209632396697998
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060422897338867
Linear Weight Rank: 179
Intra Cos: 0.02383865974843502
Inter Cos: -0.003199004800990224
Norm Quadratic Average: 1.3766200542449951
Nearest Class Center Accuracy: 0.551

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.08226203918457
Linear Weight Rank: 180
Intra Cos: 0.019537687301635742
Inter Cos: -0.001305959653109312
Norm Quadratic Average: 0.4521031081676483
Nearest Class Center Accuracy: 0.55

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.057701587677002
Linear Weight Rank: 180
Intra Cos: 0.019884837791323662
Inter Cos: 0.0009334932547062635
Norm Quadratic Average: 0.1514749974012375
Nearest Class Center Accuracy: 0.518

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.076603889465332
Linear Weight Rank: 180
Intra Cos: 0.019713979214429855
Inter Cos: 0.001085188239812851
Norm Quadratic Average: 0.053857266902923584
Nearest Class Center Accuracy: 0.4965

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.058657169342041
Linear Weight Rank: 180
Intra Cos: 0.01897345297038555
Inter Cos: 0.0032043091487139463
Norm Quadratic Average: 0.018195034936070442
Nearest Class Center Accuracy: 0.4865

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.057833671569824
Linear Weight Rank: 180
Intra Cos: 0.017476761713624
Inter Cos: 0.003926122561097145
Norm Quadratic Average: 0.005903988610953093
Nearest Class Center Accuracy: 0.462

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.008774757385254
Linear Weight Rank: 4
Intra Cos: 0.01904021017253399
Inter Cos: 0.004339213948696852
Norm Quadratic Average: 0.00217795860953629
Nearest Class Center Accuracy: 0.4495

Output Layer:
Intra Cos: 0.016494255512952805
Inter Cos: 0.013595398515462875
Norm Quadratic Average: 0.00016156303172465414
Nearest Class Center Accuracy: 0.387

