Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.895498275756836
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.945525646209717
Linear Weight Rank: 179
Intra Cos: 0.08417585492134094
Inter Cos: 0.006989205721765757
Norm Quadratic Average: 8.484776496887207
Nearest Class Center Accuracy: 0.8785

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.93257999420166
Linear Weight Rank: 179
Intra Cos: 0.1250142604112625
Inter Cos: 0.00982491485774517
Norm Quadratic Average: 8.450313568115234
Nearest Class Center Accuracy: 0.9185

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.8814215660095215
Linear Weight Rank: 179
Intra Cos: 0.16362562775611877
Inter Cos: 0.0008450368186458945
Norm Quadratic Average: 8.420005798339844
Nearest Class Center Accuracy: 0.9685

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.879395008087158
Linear Weight Rank: 179
Intra Cos: 0.2698950171470642
Inter Cos: -0.01862603984773159
Norm Quadratic Average: 8.400118827819824
Nearest Class Center Accuracy: 0.999625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9837934970855713
Linear Weight Rank: 4
Intra Cos: 0.5663032531738281
Inter Cos: -0.10428205132484436
Norm Quadratic Average: 8.594125747680664
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9594219326972961
Inter Cos: -0.14290988445281982
Norm Quadratic Average: 7.328226566314697
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24579543018341066
Accuracy: 0.8945
NC1 Within Class Collapse: 1.0446481704711914
NC2 Equinorm: Features: 0.011500668711960316, Weights: 0.025147220119833946
NC2 Equiangle: Features: 0.24070934454600015, Weights: 0.06590284407138824
NC3 Self-Duality: 0.16650748252868652
NC4 NCC Mismatch: 0.012499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.895498275756836
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 4.945525646209717
Linear Weight Rank: 179
Intra Cos: 0.08437971025705338
Inter Cos: 0.007860151119530201
Norm Quadratic Average: 8.47726821899414
Nearest Class Center Accuracy: 0.882

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.93257999420166
Linear Weight Rank: 179
Intra Cos: 0.11971688270568848
Inter Cos: 0.004304482601583004
Norm Quadratic Average: 8.4764986038208
Nearest Class Center Accuracy: 0.8965

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.8814215660095215
Linear Weight Rank: 179
Intra Cos: 0.1501491814851761
Inter Cos: 0.009011289104819298
Norm Quadratic Average: 8.447263717651367
Nearest Class Center Accuracy: 0.904

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.879395008087158
Linear Weight Rank: 179
Intra Cos: 0.2272641360759735
Inter Cos: -0.014893004670739174
Norm Quadratic Average: 8.368584632873535
Nearest Class Center Accuracy: 0.9235

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9837934970855713
Linear Weight Rank: 4
Intra Cos: 0.41784945130348206
Inter Cos: -0.05888761952519417
Norm Quadratic Average: 8.3655424118042
Nearest Class Center Accuracy: 0.9

Output Layer:
Intra Cos: 0.7598182559013367
Inter Cos: -0.06290080398321152
Norm Quadratic Average: 6.950434684753418
Nearest Class Center Accuracy: 0.8985

