Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp6_model_depth_MLP_15_weight_decay_0.0005.pth.tar
Training Set:
Average Loss: 0.0008012906042858958
Accuracy: 1.0
NC1 Within Class Collapse: 0.045028142631053925
NC2 Equinorm: Features: 0.028494948521256447, Weights: 0.02034049667418003
NC2 Equiangle: Features: 0.024723862608273823, Weights: 0.02975483735402425
NC3 Self-Duality: 0.09877443313598633
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 12.851595878601074
Intra Cos: 0.015340002253651619
Inter Cos: 0.00368381361477077
Norm Quadratic Average: 3.9849934577941895
Nearest Class Center Accuracy: 0.441

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 18.834632873535156
Intra Cos: 0.013420828618109226
Inter Cos: 0.003049235325306654
Norm Quadratic Average: 5.924698829650879
Nearest Class Center Accuracy: 0.48275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 17.85883331298828
Intra Cos: 0.015294583514332771
Inter Cos: 0.0023412173613905907
Norm Quadratic Average: 5.825145721435547
Nearest Class Center Accuracy: 0.56375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.575900077819824
Intra Cos: 0.03032463788986206
Inter Cos: -0.0012353151105344296
Norm Quadratic Average: 5.05940580368042
Nearest Class Center Accuracy: 0.76925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.587313652038574
Intra Cos: 0.08394359797239304
Inter Cos: -0.015712279826402664
Norm Quadratic Average: 3.947298049926758
Nearest Class Center Accuracy: 0.94375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0203537940979
Intra Cos: 0.28154879808425903
Inter Cos: -0.07118403166532516
Norm Quadratic Average: 3.062028169631958
Nearest Class Center Accuracy: 0.999

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.4667277336120605
Intra Cos: 0.6886659264564514
Inter Cos: -0.18914496898651123
Norm Quadratic Average: 2.618608236312866
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9123916625976562
Intra Cos: 0.9179608225822449
Inter Cos: -0.21744151413440704
Norm Quadratic Average: 2.4998700618743896
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.73348331451416
Intra Cos: 0.9684162735939026
Inter Cos: -0.20737683773040771
Norm Quadratic Average: 2.4717180728912354
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.6997954845428467
Intra Cos: 0.9836269021034241
Inter Cos: -0.26961833238601685
Norm Quadratic Average: 2.4702329635620117
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.7254018783569336
Intra Cos: 0.988978922367096
Inter Cos: -0.26143166422843933
Norm Quadratic Average: 2.47076678276062
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.7775561809539795
Intra Cos: 0.9900588393211365
Inter Cos: -0.2164718210697174
Norm Quadratic Average: 2.4715940952301025
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9072227478027344
Intra Cos: 0.9875925779342651
Inter Cos: -0.2703578770160675
Norm Quadratic Average: 2.485694169998169
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.228187084197998
Intra Cos: 0.977729082107544
Inter Cos: -0.26503223180770874
Norm Quadratic Average: 2.518803596496582
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.693392753601074
Intra Cos: 0.9492899775505066
Inter Cos: -0.24558988213539124
Norm Quadratic Average: 3.7434988021850586
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9791867733001709
Inter Cos: -0.21715494990348816
Norm Quadratic Average: 7.526397705078125
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.0007911522090435028
Accuracy: 1.0
NC1 Within Class Collapse: 0.04575486481189728
NC2 Equinorm: Features: 0.029224876314401627, Weights: 0.02034049667418003
NC2 Equiangle: Features: 0.027176077167193096, Weights: 0.02975483735402425
NC3 Self-Duality: 0.09814681112766266
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 12.851595878601074
Intra Cos: 0.012989893555641174
Inter Cos: 0.007593180518597364
Norm Quadratic Average: 3.9882302284240723
Nearest Class Center Accuracy: 0.476

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 18.834632873535156
Intra Cos: 0.011561114341020584
Inter Cos: 0.006201939191669226
Norm Quadratic Average: 5.962460041046143
Nearest Class Center Accuracy: 0.519

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 17.85883331298828
Intra Cos: 0.013713713735342026
Inter Cos: 0.001028206548653543
Norm Quadratic Average: 5.8385396003723145
Nearest Class Center Accuracy: 0.605

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.575900077819824
Intra Cos: 0.027314232662320137
Inter Cos: -0.0031002613250166178
Norm Quadratic Average: 5.065607070922852
Nearest Class Center Accuracy: 0.765

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.587313652038574
Intra Cos: 0.0812433660030365
Inter Cos: -0.014297427609562874
Norm Quadratic Average: 3.917874574661255
Nearest Class Center Accuracy: 0.953

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0203537940979
Intra Cos: 0.28845059871673584
Inter Cos: -0.07705634832382202
Norm Quadratic Average: 3.058770179748535
Nearest Class Center Accuracy: 0.999

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.4667277336120605
Intra Cos: 0.6865197420120239
Inter Cos: -0.19813096523284912
Norm Quadratic Average: 2.6234192848205566
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9123916625976562
Intra Cos: 0.9183515310287476
Inter Cos: -0.1964704394340515
Norm Quadratic Average: 2.509429693222046
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.73348331451416
Intra Cos: 0.9702646732330322
Inter Cos: -0.18829186260700226
Norm Quadratic Average: 2.482250452041626
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.6997954845428467
Intra Cos: 0.9834076166152954
Inter Cos: -0.25310802459716797
Norm Quadratic Average: 2.477870464324951
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.7254018783569336
Intra Cos: 0.9888266324996948
Inter Cos: -0.24698951840400696
Norm Quadratic Average: 2.479217290878296
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.7775561809539795
Intra Cos: 0.9899874329566956
Inter Cos: -0.20794524252414703
Norm Quadratic Average: 2.4808764457702637
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9072227478027344
Intra Cos: 0.9875918626785278
Inter Cos: -0.2615419924259186
Norm Quadratic Average: 2.4934821128845215
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.228187084197998
Intra Cos: 0.9776795506477356
Inter Cos: -0.2491316795349121
Norm Quadratic Average: 2.526742935180664
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.693392753601074
Intra Cos: 0.9488614797592163
Inter Cos: -0.2257467359304428
Norm Quadratic Average: 3.7549521923065186
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9790846109390259
Inter Cos: -0.19591020047664642
Norm Quadratic Average: 7.54788064956665
Nearest Class Center Accuracy: 1.0

