Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.773462772369385
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
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: 6.821190357208252
Linear Weight Rank: 179
Intra Cos: 0.14060865342617035
Inter Cos: 0.007131890393793583
Norm Quadratic Average: 4.18064546585083
Nearest Class Center Accuracy: 0.94675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.814539909362793
Linear Weight Rank: 179
Intra Cos: 0.5503018498420715
Inter Cos: 0.03606975078582764
Norm Quadratic Average: 3.2546849250793457
Nearest Class Center Accuracy: 0.97175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.805644512176514
Linear Weight Rank: 179
Intra Cos: 0.6926479339599609
Inter Cos: 0.05497885122895241
Norm Quadratic Average: 4.501763820648193
Nearest Class Center Accuracy: 0.965875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.832245826721191
Linear Weight Rank: 179
Intra Cos: 0.727878987789154
Inter Cos: 0.03808595985174179
Norm Quadratic Average: 6.504810333251953
Nearest Class Center Accuracy: 0.979375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.779449939727783
Linear Weight Rank: 4
Intra Cos: 0.7377914786338806
Inter Cos: 0.029274068772792816
Norm Quadratic Average: 9.078210830688477
Nearest Class Center Accuracy: 0.9815

Output Layer:
Intra Cos: 0.8427703380584717
Inter Cos: 0.07002802193164825
Norm Quadratic Average: 16.156414031982422
Nearest Class Center Accuracy: 0.98325

Test Set:
Average Loss: 0.06866190218925476
Accuracy: 0.975
NC1 Within Class Collapse: 1.5255241394042969
NC2 Equinorm: Features: 0.04842120781540871, Weights: 0.05284108221530914
NC2 Equiangle: Features: 0.4291749795277913, Weights: 0.3850948015848796
NC3 Self-Duality: 0.08531202375888824
NC4 NCC Mismatch: 0.022499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.773462772369385
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 6.821190357208252
Linear Weight Rank: 179
Intra Cos: 0.13804446160793304
Inter Cos: 0.005856168922036886
Norm Quadratic Average: 4.184280872344971
Nearest Class Center Accuracy: 0.9385

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.814539909362793
Linear Weight Rank: 179
Intra Cos: 0.5509217381477356
Inter Cos: 0.031922124326229095
Norm Quadratic Average: 3.2888147830963135
Nearest Class Center Accuracy: 0.958

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.805644512176514
Linear Weight Rank: 179
Intra Cos: 0.6990255117416382
Inter Cos: 0.06303434818983078
Norm Quadratic Average: 4.550937652587891
Nearest Class Center Accuracy: 0.955

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.832245826721191
Linear Weight Rank: 179
Intra Cos: 0.7214401960372925
Inter Cos: 0.062044478952884674
Norm Quadratic Average: 6.569534778594971
Nearest Class Center Accuracy: 0.964

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.779449939727783
Linear Weight Rank: 4
Intra Cos: 0.7432349324226379
Inter Cos: 0.05483588948845863
Norm Quadratic Average: 9.157154083251953
Nearest Class Center Accuracy: 0.966

Output Layer:
Intra Cos: 0.8267534971237183
Inter Cos: 0.054443106055259705
Norm Quadratic Average: 16.251909255981445
Nearest Class Center Accuracy: 0.9705

