Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.197915077209473
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 8.151290893554688
Linear Weight Rank: 179
Intra Cos: 0.0749380812048912
Inter Cos: 0.005714741535484791
Norm Quadratic Average: 14.02816104888916
Nearest Class Center Accuracy: 0.879375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122665405273438
Linear Weight Rank: 179
Intra Cos: 0.11300145089626312
Inter Cos: 0.004567344672977924
Norm Quadratic Average: 14.007267951965332
Nearest Class Center Accuracy: 0.92275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.162583351135254
Linear Weight Rank: 180
Intra Cos: 0.15250974893569946
Inter Cos: -0.0012542586773633957
Norm Quadratic Average: 14.003310203552246
Nearest Class Center Accuracy: 0.95925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.117855072021484
Linear Weight Rank: 180
Intra Cos: 0.21104969084262848
Inter Cos: -0.006078604143112898
Norm Quadratic Average: 13.9430513381958
Nearest Class Center Accuracy: 0.998375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.462031602859497
Linear Weight Rank: 4
Intra Cos: 0.36288535594940186
Inter Cos: -0.04006613790988922
Norm Quadratic Average: 14.042009353637695
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9191881418228149
Inter Cos: -0.048753075301647186
Norm Quadratic Average: 12.42475700378418
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2564587736129761
Accuracy: 0.9045
NC1 Within Class Collapse: 1.3077946901321411
NC2 Equinorm: Features: 0.00824086181819439, Weights: 0.017216065898537636
NC2 Equiangle: Features: 0.30979812145233154, Weights: 0.1395130157470703
NC3 Self-Duality: 0.21451754868030548
NC4 NCC Mismatch: 0.01849999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.197915077209473
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151290893554688
Linear Weight Rank: 179
Intra Cos: 0.07331109046936035
Inter Cos: 0.0058319480158388615
Norm Quadratic Average: 14.013448715209961
Nearest Class Center Accuracy: 0.885

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122665405273438
Linear Weight Rank: 179
Intra Cos: 0.10880132764577866
Inter Cos: 0.004151280038058758
Norm Quadratic Average: 14.017461776733398
Nearest Class Center Accuracy: 0.905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.162583351135254
Linear Weight Rank: 180
Intra Cos: 0.13822685182094574
Inter Cos: 0.006633979268372059
Norm Quadratic Average: 14.035303115844727
Nearest Class Center Accuracy: 0.911

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.117855072021484
Linear Weight Rank: 180
Intra Cos: 0.18443316221237183
Inter Cos: -0.0035267735365778208
Norm Quadratic Average: 13.90799617767334
Nearest Class Center Accuracy: 0.9245

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.462031602859497
Linear Weight Rank: 4
Intra Cos: 0.28760749101638794
Inter Cos: -0.011544598266482353
Norm Quadratic Average: 13.825370788574219
Nearest Class Center Accuracy: 0.9135

Output Layer:
Intra Cos: 0.7383155226707458
Inter Cos: 0.009987324476242065
Norm Quadratic Average: 12.000123023986816
Nearest Class Center Accuracy: 0.9155

