Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.13753080368042
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.154339790344238
Linear Weight Rank: 180
Intra Cos: 0.07397686690092087
Inter Cos: 0.002318263053894043
Norm Quadratic Average: 8.752182006835938
Nearest Class Center Accuracy: 0.870375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.105771541595459
Linear Weight Rank: 180
Intra Cos: 0.1183585599064827
Inter Cos: 0.0018102636095136404
Norm Quadratic Average: 8.720248222351074
Nearest Class Center Accuracy: 0.93175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.099153995513916
Linear Weight Rank: 180
Intra Cos: 0.13409602642059326
Inter Cos: -0.002856532344594598
Norm Quadratic Average: 8.705205917358398
Nearest Class Center Accuracy: 0.939875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.065891742706299
Linear Weight Rank: 179
Intra Cos: 0.16968825459480286
Inter Cos: 0.0012368292082101107
Norm Quadratic Average: 8.687466621398926
Nearest Class Center Accuracy: 0.978125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.06936502456665
Linear Weight Rank: 180
Intra Cos: 0.23103700578212738
Inter Cos: -0.0039695147424936295
Norm Quadratic Average: 8.68093204498291
Nearest Class Center Accuracy: 0.994125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0499091148376465
Linear Weight Rank: 179
Intra Cos: 0.3174833357334137
Inter Cos: -0.03507474064826965
Norm Quadratic Average: 8.669819831848145
Nearest Class Center Accuracy: 0.9995

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.046324729919434
Linear Weight Rank: 180
Intra Cos: 0.46729153394699097
Inter Cos: -0.07297477126121521
Norm Quadratic Average: 8.684006690979004
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7013373374938965
Linear Weight Rank: 4
Intra Cos: 0.6982932686805725
Inter Cos: -0.16780559718608856
Norm Quadratic Average: 8.864261627197266
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9814950227737427
Inter Cos: -0.19172042608261108
Norm Quadratic Average: 6.914100170135498
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3030282258987427
Accuracy: 0.8905
NC1 Within Class Collapse: 0.9357313513755798
NC2 Equinorm: Features: 0.008339967578649521, Weights: 0.044489435851573944
NC2 Equiangle: Features: 0.17193681001663208, Weights: 0.08153208096822102
NC3 Self-Duality: 0.16280347108840942
NC4 NCC Mismatch: 0.009000000000000008

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.13753080368042
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.154339790344238
Linear Weight Rank: 180
Intra Cos: 0.07497699558734894
Inter Cos: 0.004076676443219185
Norm Quadratic Average: 8.738947868347168
Nearest Class Center Accuracy: 0.871

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.105771541595459
Linear Weight Rank: 180
Intra Cos: 0.11418750137090683
Inter Cos: 0.002959101926535368
Norm Quadratic Average: 8.72177791595459
Nearest Class Center Accuracy: 0.912

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.099153995513916
Linear Weight Rank: 180
Intra Cos: 0.12555287778377533
Inter Cos: 0.004808392841368914
Norm Quadratic Average: 8.705227851867676
Nearest Class Center Accuracy: 0.893

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.065891742706299
Linear Weight Rank: 179
Intra Cos: 0.14813657104969025
Inter Cos: 0.00044699510908685625
Norm Quadratic Average: 8.671515464782715
Nearest Class Center Accuracy: 0.8935

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.06936502456665
Linear Weight Rank: 180
Intra Cos: 0.18853053450584412
Inter Cos: -0.005593675654381514
Norm Quadratic Average: 8.666316986083984
Nearest Class Center Accuracy: 0.901

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0499091148376465
Linear Weight Rank: 179
Intra Cos: 0.24419519305229187
Inter Cos: -0.018485240638256073
Norm Quadratic Average: 8.60622787475586
Nearest Class Center Accuracy: 0.9

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.046324729919434
Linear Weight Rank: 180
Intra Cos: 0.3431539833545685
Inter Cos: -0.03665342554450035
Norm Quadratic Average: 8.463669776916504
Nearest Class Center Accuracy: 0.8915

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7013373374938965
Linear Weight Rank: 4
Intra Cos: 0.48474910855293274
Inter Cos: -0.06826525181531906
Norm Quadratic Average: 8.285490989685059
Nearest Class Center Accuracy: 0.8935

Output Layer:
Intra Cos: 0.7278510332107544
Inter Cos: -0.06656663119792938
Norm Quadratic Average: 6.231208324432373
Nearest Class Center Accuracy: 0.892

