Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_846264_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.970006465911865
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.0017584878951311111
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: 8.005629539489746
Linear Weight Rank: 179
Intra Cos: 0.0641397163271904
Inter Cos: 0.004951395094394684
Norm Quadratic Average: 13.565912246704102
Nearest Class Center Accuracy: 0.86225

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.950821876525879
Linear Weight Rank: 179
Intra Cos: 0.09485293179750443
Inter Cos: 0.00640597939491272
Norm Quadratic Average: 13.565314292907715
Nearest Class Center Accuracy: 0.902125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.906952857971191
Linear Weight Rank: 180
Intra Cos: 0.11729975044727325
Inter Cos: 0.007321186829358339
Norm Quadratic Average: 13.550758361816406
Nearest Class Center Accuracy: 0.936875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.909134387969971
Linear Weight Rank: 180
Intra Cos: 0.13953475654125214
Inter Cos: 0.0012406064197421074
Norm Quadratic Average: 13.528056144714355
Nearest Class Center Accuracy: 0.965125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.891529083251953
Linear Weight Rank: 179
Intra Cos: 0.17348232865333557
Inter Cos: -0.005879709497094154
Norm Quadratic Average: 13.50296688079834
Nearest Class Center Accuracy: 0.989

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8920488357543945
Linear Weight Rank: 179
Intra Cos: 0.23146189749240875
Inter Cos: -0.01655338890850544
Norm Quadratic Average: 13.48255729675293
Nearest Class Center Accuracy: 0.99975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.878755569458008
Linear Weight Rank: 179
Intra Cos: 0.29685959219932556
Inter Cos: -0.03145939111709595
Norm Quadratic Average: 13.496877670288086
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0543019771575928
Linear Weight Rank: 4
Intra Cos: 0.47003892064094543
Inter Cos: -0.10176664590835571
Norm Quadratic Average: 13.634906768798828
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9577922224998474
Inter Cos: -0.1491415798664093
Norm Quadratic Average: 10.681465148925781
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3817778377532959
Accuracy: 0.8805
NC1 Within Class Collapse: 1.2344980239868164
NC2 Equinorm: Features: 0.016894692555069923, Weights: 0.025110919028520584
NC2 Equiangle: Features: 0.22890273729960123, Weights: 0.11594772338867188
NC3 Self-Duality: 0.2410498857498169
NC4 NCC Mismatch: 0.01649999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.970006465911865
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 8.005629539489746
Linear Weight Rank: 179
Intra Cos: 0.06263134628534317
Inter Cos: 0.0018863619770854712
Norm Quadratic Average: 13.547137260437012
Nearest Class Center Accuracy: 0.8665

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.950821876525879
Linear Weight Rank: 179
Intra Cos: 0.09103923290967941
Inter Cos: 0.002501250710338354
Norm Quadratic Average: 13.5468111038208
Nearest Class Center Accuracy: 0.887

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.906952857971191
Linear Weight Rank: 180
Intra Cos: 0.10963904857635498
Inter Cos: 0.0016062365612015128
Norm Quadratic Average: 13.563228607177734
Nearest Class Center Accuracy: 0.892

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.909134387969971
Linear Weight Rank: 180
Intra Cos: 0.1253146082162857
Inter Cos: 0.003426687093451619
Norm Quadratic Average: 13.48102855682373
Nearest Class Center Accuracy: 0.8985

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.891529083251953
Linear Weight Rank: 179
Intra Cos: 0.14586366713047028
Inter Cos: -0.0023180649150162935
Norm Quadratic Average: 13.437816619873047
Nearest Class Center Accuracy: 0.8925

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8920488357543945
Linear Weight Rank: 179
Intra Cos: 0.18137989938259125
Inter Cos: -0.007742174901068211
Norm Quadratic Average: 13.370291709899902
Nearest Class Center Accuracy: 0.891

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.878755569458008
Linear Weight Rank: 179
Intra Cos: 0.2268112152814865
Inter Cos: -0.00840247143059969
Norm Quadratic Average: 13.23529052734375
Nearest Class Center Accuracy: 0.8855

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0543019771575928
Linear Weight Rank: 4
Intra Cos: 0.3292566239833832
Inter Cos: -0.03947355970740318
Norm Quadratic Average: 12.994232177734375
Nearest Class Center Accuracy: 0.8775

Output Layer:
Intra Cos: 0.698948085308075
Inter Cos: -0.04259888827800751
Norm Quadratic Average: 9.733338356018066
Nearest Class Center Accuracy: 0.878

