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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.239892959594727
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: 8.13320541381836
Linear Weight Rank: 179
Intra Cos: 0.028664061799645424
Inter Cos: -0.003976980224251747
Norm Quadratic Average: 4.831229209899902
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11449909210205
Linear Weight Rank: 179
Intra Cos: 0.026118213310837746
Inter Cos: -0.003414302133023739
Norm Quadratic Average: 1.8143153190612793
Nearest Class Center Accuracy: 0.537875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139601707458496
Linear Weight Rank: 180
Intra Cos: 0.02254585362970829
Inter Cos: -0.002628310350701213
Norm Quadratic Average: 0.6856065988540649
Nearest Class Center Accuracy: 0.52825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111382484436035
Linear Weight Rank: 180
Intra Cos: 0.022770825773477554
Inter Cos: 0.0005407583666965365
Norm Quadratic Average: 0.2640107274055481
Nearest Class Center Accuracy: 0.509125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.133155822753906
Linear Weight Rank: 180
Intra Cos: 0.025626152753829956
Inter Cos: -0.00039446476148441434
Norm Quadratic Average: 0.1063866838812828
Nearest Class Center Accuracy: 0.507375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112481117248535
Linear Weight Rank: 180
Intra Cos: 0.024242868646979332
Inter Cos: 0.0009095132700167596
Norm Quadratic Average: 0.04175759106874466
Nearest Class Center Accuracy: 0.499375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111533164978027
Linear Weight Rank: 180
Intra Cos: 0.02650967799127102
Inter Cos: 0.005021434277296066
Norm Quadratic Average: 0.015554186888039112
Nearest Class Center Accuracy: 0.4835

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.159523606300354
Linear Weight Rank: 4
Intra Cos: 0.028162861242890358
Inter Cos: 0.006932488642632961
Norm Quadratic Average: 0.006574355065822601
Nearest Class Center Accuracy: 0.473

Output Layer:
Intra Cos: 0.05522800609469414
Inter Cos: 0.01643231511116028
Norm Quadratic Average: 0.0006347409216687083
Nearest Class Center Accuracy: 0.42875

Test Set:
Average Loss: 1.386669334411621
Accuracy: 0.255
NC1 Within Class Collapse: 21.67862319946289
NC2 Equinorm: Features: 0.08949683606624603, Weights: 0.05542638525366783
NC2 Equiangle: Features: 0.28334782520929974, Weights: 0.31901776790618896
NC3 Self-Duality: 1.6310820579528809
NC4 NCC Mismatch: 0.7375

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.239892959594727
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: 8.13320541381836
Linear Weight Rank: 179
Intra Cos: 0.025961775332689285
Inter Cos: -0.0036915431264787912
Norm Quadratic Average: 4.838186264038086
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11449909210205
Linear Weight Rank: 179
Intra Cos: 0.023804228752851486
Inter Cos: -0.003085334785282612
Norm Quadratic Average: 1.8158947229385376
Nearest Class Center Accuracy: 0.5515

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139601707458496
Linear Weight Rank: 180
Intra Cos: 0.019373632967472076
Inter Cos: -0.0014789057895541191
Norm Quadratic Average: 0.6865586042404175
Nearest Class Center Accuracy: 0.544

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111382484436035
Linear Weight Rank: 180
Intra Cos: 0.020157046616077423
Inter Cos: 0.0017075315117835999
Norm Quadratic Average: 0.26383256912231445
Nearest Class Center Accuracy: 0.522

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.133155822753906
Linear Weight Rank: 180
Intra Cos: 0.02168338932096958
Inter Cos: 0.0010561300441622734
Norm Quadratic Average: 0.1064700335264206
Nearest Class Center Accuracy: 0.51

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112481117248535
Linear Weight Rank: 180
Intra Cos: 0.021357687190175056
Inter Cos: -4.5573600800707936e-05
Norm Quadratic Average: 0.04182421788573265
Nearest Class Center Accuracy: 0.5035

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111533164978027
Linear Weight Rank: 180
Intra Cos: 0.02099497988820076
Inter Cos: 0.004104317165911198
Norm Quadratic Average: 0.015560399740934372
Nearest Class Center Accuracy: 0.473

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.159523606300354
Linear Weight Rank: 4
Intra Cos: 0.023228585720062256
Inter Cos: 0.00476498156785965
Norm Quadratic Average: 0.006580349989235401
Nearest Class Center Accuracy: 0.4725

Output Layer:
Intra Cos: 0.04428204894065857
Inter Cos: 0.018348166719079018
Norm Quadratic Average: 0.0006332698394544423
Nearest Class Center Accuracy: 0.441

