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_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.219367980957031
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
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: 8.444499969482422
Linear Weight Rank: 179
Intra Cos: 0.012117593549191952
Inter Cos: 0.0027448374312371016
Norm Quadratic Average: 13.932893753051758
Nearest Class Center Accuracy: 0.45875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.321625709533691
Linear Weight Rank: 180
Intra Cos: 0.011320182122290134
Inter Cos: 0.00287449243478477
Norm Quadratic Average: 13.890020370483398
Nearest Class Center Accuracy: 0.487375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.267199516296387
Linear Weight Rank: 180
Intra Cos: 0.012538849376142025
Inter Cos: 0.0034742115531116724
Norm Quadratic Average: 13.897523880004883
Nearest Class Center Accuracy: 0.516375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.178171157836914
Linear Weight Rank: 180
Intra Cos: 0.017203040421009064
Inter Cos: 0.0023654350079596043
Norm Quadratic Average: 13.880434036254883
Nearest Class Center Accuracy: 0.574875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145548820495605
Linear Weight Rank: 179
Intra Cos: 0.024425966665148735
Inter Cos: 0.0017242936883121729
Norm Quadratic Average: 13.882017135620117
Nearest Class Center Accuracy: 0.67725

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.0769624710083
Linear Weight Rank: 179
Intra Cos: 0.04341726377606392
Inter Cos: -0.0045501235872507095
Norm Quadratic Average: 13.88672161102295
Nearest Class Center Accuracy: 0.85225

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048827171325684
Linear Weight Rank: 180
Intra Cos: 0.09125204384326935
Inter Cos: -0.01659855619072914
Norm Quadratic Average: 13.944025039672852
Nearest Class Center Accuracy: 0.99525

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6501970291137695
Linear Weight Rank: 4
Intra Cos: 0.2551734447479248
Inter Cos: -0.06388592720031738
Norm Quadratic Average: 14.330742835998535
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9094565510749817
Inter Cos: -0.1696375608444214
Norm Quadratic Average: 11.251773834228516
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.5464065170288084
Accuracy: 0.506
NC1 Within Class Collapse: 14.575413703918457
NC2 Equinorm: Features: 0.05292882025241852, Weights: 0.033873796463012695
NC2 Equiangle: Features: 0.25904003779093426, Weights: 0.059525758028030396
NC3 Self-Duality: 0.255959153175354
NC4 NCC Mismatch: 0.08250000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.219367980957031
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.444499969482422
Linear Weight Rank: 179
Intra Cos: 0.013191158883273602
Inter Cos: 0.002885394264012575
Norm Quadratic Average: 13.913986206054688
Nearest Class Center Accuracy: 0.478

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.321625709533691
Linear Weight Rank: 180
Intra Cos: 0.011415266431868076
Inter Cos: 0.00242832419462502
Norm Quadratic Average: 13.844706535339355
Nearest Class Center Accuracy: 0.499

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.267199516296387
Linear Weight Rank: 180
Intra Cos: 0.009877420030534267
Inter Cos: 0.0027912831865251064
Norm Quadratic Average: 13.819348335266113
Nearest Class Center Accuracy: 0.4895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.178171157836914
Linear Weight Rank: 180
Intra Cos: 0.011035717092454433
Inter Cos: 0.003135695355013013
Norm Quadratic Average: 13.728991508483887
Nearest Class Center Accuracy: 0.492

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145548820495605
Linear Weight Rank: 179
Intra Cos: 0.01119015458971262
Inter Cos: 0.0033510271459817886
Norm Quadratic Average: 13.672194480895996
Nearest Class Center Accuracy: 0.505

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.0769624710083
Linear Weight Rank: 179
Intra Cos: 0.012202346697449684
Inter Cos: 0.001432920922525227
Norm Quadratic Average: 13.507482528686523
Nearest Class Center Accuracy: 0.5015

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048827171325684
Linear Weight Rank: 180
Intra Cos: 0.015206964686512947
Inter Cos: 0.0016000367468222976
Norm Quadratic Average: 13.311504364013672
Nearest Class Center Accuracy: 0.5185

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6501970291137695
Linear Weight Rank: 4
Intra Cos: 0.02863822691142559
Inter Cos: 0.0029289349913597107
Norm Quadratic Average: 12.813959121704102
Nearest Class Center Accuracy: 0.5195

Output Layer:
Intra Cos: 0.12126205861568451
Inter Cos: 0.02519250474870205
Norm Quadratic Average: 8.303780555725098
Nearest Class Center Accuracy: 0.513

