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_979323_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.156882286071777
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.25262451171875
Linear Weight Rank: 180
Intra Cos: 0.012525022961199284
Inter Cos: 0.005522413179278374
Norm Quadratic Average: 12.23346996307373
Nearest Class Center Accuracy: 0.462

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1865410804748535
Linear Weight Rank: 179
Intra Cos: 0.010913371108472347
Inter Cos: 0.004053806886076927
Norm Quadratic Average: 12.203235626220703
Nearest Class Center Accuracy: 0.482125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169777870178223
Linear Weight Rank: 180
Intra Cos: 0.012062158435583115
Inter Cos: -0.0008090323535725474
Norm Quadratic Average: 12.14847183227539
Nearest Class Center Accuracy: 0.5555

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.081587314605713
Linear Weight Rank: 179
Intra Cos: 0.02723383903503418
Inter Cos: -0.0038093982730060816
Norm Quadratic Average: 12.134111404418945
Nearest Class Center Accuracy: 0.829875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0696330070495605
Linear Weight Rank: 4
Intra Cos: 0.14549045264720917
Inter Cos: -0.02816968783736229
Norm Quadratic Average: 12.540159225463867
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8779736757278442
Inter Cos: -0.1759750097990036
Norm Quadratic Average: 9.100693702697754
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.184097625732422
Accuracy: 0.502
NC1 Within Class Collapse: 13.137187957763672
NC2 Equinorm: Features: 0.06805373728275299, Weights: 0.02204057015478611
NC2 Equiangle: Features: 0.25409674644470215, Weights: 0.03626647094885508
NC3 Self-Duality: 0.27665627002716064
NC4 NCC Mismatch: 0.12350000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.156882286071777
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
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: 7.25262451171875
Linear Weight Rank: 180
Intra Cos: 0.012155014090240002
Inter Cos: 0.004900299943983555
Norm Quadratic Average: 12.179308891296387
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1865410804748535
Linear Weight Rank: 179
Intra Cos: 0.010726751759648323
Inter Cos: 0.004414568189531565
Norm Quadratic Average: 12.134429931640625
Nearest Class Center Accuracy: 0.492

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169777870178223
Linear Weight Rank: 180
Intra Cos: 0.0076329633593559265
Inter Cos: 0.0010221032425761223
Norm Quadratic Average: 12.114856719970703
Nearest Class Center Accuracy: 0.502

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.081587314605713
Linear Weight Rank: 179
Intra Cos: 0.007800239138305187
Inter Cos: 0.00022243063722271472
Norm Quadratic Average: 12.069806098937988
Nearest Class Center Accuracy: 0.5205

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0696330070495605
Linear Weight Rank: 4
Intra Cos: 0.019267572090029716
Inter Cos: 0.0031439110171049833
Norm Quadratic Average: 12.054203033447266
Nearest Class Center Accuracy: 0.519

Output Layer:
Intra Cos: 0.13284608721733093
Inter Cos: 0.025176558643579483
Norm Quadratic Average: 7.451151371002197
Nearest Class Center Accuracy: 0.5015

