Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.06199836730957
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 8.112447738647461
Linear Weight Rank: 179
Intra Cos: 0.07879754155874252
Inter Cos: 0.006236794404685497
Norm Quadratic Average: 13.94759750366211
Nearest Class Center Accuracy: 0.868

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109869956970215
Linear Weight Rank: 179
Intra Cos: 0.1129671186208725
Inter Cos: 0.008361062966287136
Norm Quadratic Average: 13.9384765625
Nearest Class Center Accuracy: 0.90875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039424896240234
Linear Weight Rank: 180
Intra Cos: 0.1380036324262619
Inter Cos: 0.0015640855999663472
Norm Quadratic Average: 13.848355293273926
Nearest Class Center Accuracy: 0.954125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.041655540466309
Linear Weight Rank: 179
Intra Cos: 0.199981689453125
Inter Cos: -0.011220915243029594
Norm Quadratic Average: 13.8073091506958
Nearest Class Center Accuracy: 0.996875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4344472885131836
Linear Weight Rank: 4
Intra Cos: 0.3574369251728058
Inter Cos: -0.04254474863409996
Norm Quadratic Average: 13.915515899658203
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9211450815200806
Inter Cos: -0.07083610445261002
Norm Quadratic Average: 12.010810852050781
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28866164541244504
Accuracy: 0.9055
NC1 Within Class Collapse: 1.3074300289154053
NC2 Equinorm: Features: 0.025597326457500458, Weights: 0.0251651369035244
NC2 Equiangle: Features: 0.3018229405085246, Weights: 0.11234166224797566
NC3 Self-Duality: 0.22361524403095245
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.06199836730957
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 8.112447738647461
Linear Weight Rank: 179
Intra Cos: 0.08015409111976624
Inter Cos: 0.007072468288242817
Norm Quadratic Average: 13.930164337158203
Nearest Class Center Accuracy: 0.874

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109869956970215
Linear Weight Rank: 179
Intra Cos: 0.10864055156707764
Inter Cos: 0.0031110504642128944
Norm Quadratic Average: 13.972853660583496
Nearest Class Center Accuracy: 0.8965

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039424896240234
Linear Weight Rank: 180
Intra Cos: 0.12817347049713135
Inter Cos: 0.008894259110093117
Norm Quadratic Average: 13.876029014587402
Nearest Class Center Accuracy: 0.8905

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.041655540466309
Linear Weight Rank: 179
Intra Cos: 0.17343097925186157
Inter Cos: -0.009914330206811428
Norm Quadratic Average: 13.773842811584473
Nearest Class Center Accuracy: 0.912

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4344472885131836
Linear Weight Rank: 4
Intra Cos: 0.2809590697288513
Inter Cos: -0.026339353993535042
Norm Quadratic Average: 13.787432670593262
Nearest Class Center Accuracy: 0.908

Output Layer:
Intra Cos: 0.7503843307495117
Inter Cos: -0.02194906771183014
Norm Quadratic Average: 11.703654289245605
Nearest Class Center Accuracy: 0.9065

