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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.1760783195495605
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: 6.231838703155518
Linear Weight Rank: 179
Intra Cos: 0.15228819847106934
Inter Cos: 0.006669868249446154
Norm Quadratic Average: 3.8326761722564697
Nearest Class Center Accuracy: 0.95025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.228243827819824
Linear Weight Rank: 179
Intra Cos: 0.5735399127006531
Inter Cos: 0.032239966094493866
Norm Quadratic Average: 2.980741500854492
Nearest Class Center Accuracy: 0.969625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.223053932189941
Linear Weight Rank: 179
Intra Cos: 0.6945198774337769
Inter Cos: 0.05400398001074791
Norm Quadratic Average: 4.0740132331848145
Nearest Class Center Accuracy: 0.959875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.25029993057251
Linear Weight Rank: 179
Intra Cos: 0.7266901135444641
Inter Cos: 0.05074618011713028
Norm Quadratic Average: 5.775450706481934
Nearest Class Center Accuracy: 0.975625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.722383499145508
Linear Weight Rank: 4
Intra Cos: 0.7399120926856995
Inter Cos: 0.04097951203584671
Norm Quadratic Average: 7.930512428283691
Nearest Class Center Accuracy: 0.979375

Output Layer:
Intra Cos: 0.8378395438194275
Inter Cos: 0.07037220895290375
Norm Quadratic Average: 13.919453620910645
Nearest Class Center Accuracy: 0.9815

Test Set:
Average Loss: 0.07375932979583741
Accuracy: 0.975
NC1 Within Class Collapse: 1.5337393283843994
NC2 Equinorm: Features: 0.051414068788290024, Weights: 0.05679188668727875
NC2 Equiangle: Features: 0.42987604935963947, Weights: 0.3896915117899577
NC3 Self-Duality: 0.07641440629959106
NC4 NCC Mismatch: 0.024499999999999966

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.1760783195495605
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: 6.231838703155518
Linear Weight Rank: 179
Intra Cos: 0.1496104747056961
Inter Cos: 0.007308726664632559
Norm Quadratic Average: 3.8368067741394043
Nearest Class Center Accuracy: 0.9415

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.228243827819824
Linear Weight Rank: 179
Intra Cos: 0.5798254609107971
Inter Cos: 0.04275339096784592
Norm Quadratic Average: 3.0130910873413086
Nearest Class Center Accuracy: 0.958

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.223053932189941
Linear Weight Rank: 179
Intra Cos: 0.7040894627571106
Inter Cos: 0.07677014172077179
Norm Quadratic Average: 4.118701934814453
Nearest Class Center Accuracy: 0.9525

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.25029993057251
Linear Weight Rank: 179
Intra Cos: 0.7214800715446472
Inter Cos: 0.07491230964660645
Norm Quadratic Average: 5.832801818847656
Nearest Class Center Accuracy: 0.961

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.722383499145508
Linear Weight Rank: 4
Intra Cos: 0.7412272095680237
Inter Cos: 0.06679761409759521
Norm Quadratic Average: 7.998941421508789
Nearest Class Center Accuracy: 0.967

Output Layer:
Intra Cos: 0.8242426514625549
Inter Cos: 0.05448868125677109
Norm Quadratic Average: 13.997916221618652
Nearest Class Center Accuracy: 0.969

