Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_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: 5.15958309173584
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.309414386749268
Linear Weight Rank: 180
Intra Cos: 0.012220984324812889
Inter Cos: 0.0029637599363923073
Norm Quadratic Average: 8.746171951293945
Nearest Class Center Accuracy: 0.45875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.21841287612915
Linear Weight Rank: 181
Intra Cos: 0.01189411524683237
Inter Cos: 0.00235606892965734
Norm Quadratic Average: 8.739038467407227
Nearest Class Center Accuracy: 0.50075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.143816947937012
Linear Weight Rank: 180
Intra Cos: 0.013856629841029644
Inter Cos: 0.0020096348598599434
Norm Quadratic Average: 8.71589469909668
Nearest Class Center Accuracy: 0.59025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.062440395355225
Linear Weight Rank: 179
Intra Cos: 0.03466371074318886
Inter Cos: -0.0035038203932344913
Norm Quadratic Average: 8.704195022583008
Nearest Class Center Accuracy: 0.90575

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6748311519622803
Linear Weight Rank: 4
Intra Cos: 0.23808541893959045
Inter Cos: -0.06747142970561981
Norm Quadratic Average: 9.109865188598633
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9095073938369751
Inter Cos: -0.23791615664958954
Norm Quadratic Average: 7.382644176483154
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.84765380859375
Accuracy: 0.527
NC1 Within Class Collapse: 12.935062408447266
NC2 Equinorm: Features: 0.07064222544431686, Weights: 0.0073955124244093895
NC2 Equiangle: Features: 0.24205325047175089, Weights: 0.02367292841275533
NC3 Self-Duality: 0.2032558172941208
NC4 NCC Mismatch: 0.07350000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.15958309173584
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
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: 5.309414386749268
Linear Weight Rank: 180
Intra Cos: 0.013237392529845238
Inter Cos: 0.0030551839154213667
Norm Quadratic Average: 8.733318328857422
Nearest Class Center Accuracy: 0.4725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.21841287612915
Linear Weight Rank: 181
Intra Cos: 0.01166082639247179
Inter Cos: 0.0015081577003002167
Norm Quadratic Average: 8.716989517211914
Nearest Class Center Accuracy: 0.501

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.143816947937012
Linear Weight Rank: 180
Intra Cos: 0.008982161059975624
Inter Cos: 0.0021806254517287016
Norm Quadratic Average: 8.702437400817871
Nearest Class Center Accuracy: 0.512

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.062440395355225
Linear Weight Rank: 179
Intra Cos: 0.009792248718440533
Inter Cos: 0.0028081717900931835
Norm Quadratic Average: 8.618123054504395
Nearest Class Center Accuracy: 0.5405

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6748311519622803
Linear Weight Rank: 4
Intra Cos: 0.03187057375907898
Inter Cos: 0.004413692280650139
Norm Quadratic Average: 8.501055717468262
Nearest Class Center Accuracy: 0.54

Output Layer:
Intra Cos: 0.14210903644561768
Inter Cos: 0.022370081394910812
Norm Quadratic Average: 5.901628017425537
Nearest Class Center Accuracy: 0.5265

