Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.023298263549805
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758478581905365
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.939369201660156
Linear Weight Rank: 180
Intra Cos: 0.06017780676484108
Inter Cos: 0.00733939791098237
Norm Quadratic Average: 4.7929182052612305
Nearest Class Center Accuracy: 0.831

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9316816329956055
Linear Weight Rank: 180
Intra Cos: 0.049588002264499664
Inter Cos: 0.010826590470969677
Norm Quadratic Average: 1.7072209119796753
Nearest Class Center Accuracy: 0.74025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9840168952941895
Linear Weight Rank: 179
Intra Cos: 0.04709305986762047
Inter Cos: 0.008366407826542854
Norm Quadratic Average: 0.6271193623542786
Nearest Class Center Accuracy: 0.65475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.947206020355225
Linear Weight Rank: 179
Intra Cos: 0.049138542264699936
Inter Cos: 0.01236833818256855
Norm Quadratic Average: 0.23664988577365875
Nearest Class Center Accuracy: 0.62325

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9528889656066895
Linear Weight Rank: 180
Intra Cos: 0.06555571407079697
Inter Cos: 0.020625660195946693
Norm Quadratic Average: 0.09455559402704239
Nearest Class Center Accuracy: 0.628

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.984126567840576
Linear Weight Rank: 180
Intra Cos: 0.07897146791219711
Inter Cos: 0.032353587448596954
Norm Quadratic Average: 0.03867482766509056
Nearest Class Center Accuracy: 0.63175

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.963787078857422
Linear Weight Rank: 179
Intra Cos: 0.09388485550880432
Inter Cos: 0.03994360566139221
Norm Quadratic Average: 0.016166480258107185
Nearest Class Center Accuracy: 0.6155

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1693167686462402
Linear Weight Rank: 4
Intra Cos: 0.10360302031040192
Inter Cos: 0.03468526154756546
Norm Quadratic Average: 0.006536956876516342
Nearest Class Center Accuracy: 0.61825

Output Layer:
Intra Cos: 0.27431830763816833
Inter Cos: 0.1616278886795044
Norm Quadratic Average: 0.0009887140477076173
Nearest Class Center Accuracy: 0.605375

Test Set:
Average Loss: 1.3870986557006837
Accuracy: 0.257
NC1 Within Class Collapse: 44.07001495361328
NC2 Equinorm: Features: 0.0868539810180664, Weights: 0.01954532042145729
NC2 Equiangle: Features: 0.434079647064209, Weights: 0.2934714953104655
NC3 Self-Duality: 1.4334877729415894
NC4 NCC Mismatch: 0.724

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.023298263549805
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 7.939369201660156
Linear Weight Rank: 180
Intra Cos: 0.05815768614411354
Inter Cos: 0.007148706819862127
Norm Quadratic Average: 4.780721664428711
Nearest Class Center Accuracy: 0.8415

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9316816329956055
Linear Weight Rank: 180
Intra Cos: 0.04742233455181122
Inter Cos: 0.008388991467654705
Norm Quadratic Average: 1.6995078325271606
Nearest Class Center Accuracy: 0.749

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9840168952941895
Linear Weight Rank: 179
Intra Cos: 0.04596463590860367
Inter Cos: 0.004971224814653397
Norm Quadratic Average: 0.6242986917495728
Nearest Class Center Accuracy: 0.6695

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.947206020355225
Linear Weight Rank: 179
Intra Cos: 0.046742528676986694
Inter Cos: 0.011001704260706902
Norm Quadratic Average: 0.2359466254711151
Nearest Class Center Accuracy: 0.6405

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9528889656066895
Linear Weight Rank: 180
Intra Cos: 0.06244511902332306
Inter Cos: 0.019465621560811996
Norm Quadratic Average: 0.09411527216434479
Nearest Class Center Accuracy: 0.6385

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.984126567840576
Linear Weight Rank: 180
Intra Cos: 0.07366964221000671
Inter Cos: 0.03315208479762077
Norm Quadratic Average: 0.038655973970890045
Nearest Class Center Accuracy: 0.6325

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.963787078857422
Linear Weight Rank: 179
Intra Cos: 0.09145892411470413
Inter Cos: 0.045088980346918106
Norm Quadratic Average: 0.016200540587306023
Nearest Class Center Accuracy: 0.625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1693167686462402
Linear Weight Rank: 4
Intra Cos: 0.09839089214801788
Inter Cos: 0.03609446436166763
Norm Quadratic Average: 0.006546123418956995
Nearest Class Center Accuracy: 0.6305

Output Layer:
Intra Cos: 0.26251474022865295
Inter Cos: 0.15534916520118713
Norm Quadratic Average: 0.0009979832684621215
Nearest Class Center Accuracy: 0.604

