Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.362095832824707
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
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: 8.312539100646973
Linear Weight Rank: 179
Intra Cos: 0.12018334865570068
Inter Cos: 0.00848435889929533
Norm Quadratic Average: 5.06008243560791
Nearest Class Center Accuracy: 0.9265

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.298797607421875
Linear Weight Rank: 179
Intra Cos: 0.4837864935398102
Inter Cos: 0.03889600932598114
Norm Quadratic Average: 4.114280700683594
Nearest Class Center Accuracy: 0.96075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.328245162963867
Linear Weight Rank: 180
Intra Cos: 0.6651356220245361
Inter Cos: 0.07231910526752472
Norm Quadratic Average: 6.0596184730529785
Nearest Class Center Accuracy: 0.951375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.31228256225586
Linear Weight Rank: 179
Intra Cos: 0.6872722506523132
Inter Cos: 0.08824974298477173
Norm Quadratic Average: 9.484047889709473
Nearest Class Center Accuracy: 0.948625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.97257661819458
Linear Weight Rank: 4
Intra Cos: 0.6625831127166748
Inter Cos: 0.09258782863616943
Norm Quadratic Average: 14.276779174804688
Nearest Class Center Accuracy: 0.943875

Output Layer:
Intra Cos: 0.7750061750411987
Inter Cos: 0.08021154999732971
Norm Quadratic Average: 26.328330993652344
Nearest Class Center Accuracy: 0.957875

Test Set:
Average Loss: 0.07153505444526673
Accuracy: 0.967
NC1 Within Class Collapse: 1.5929960012435913
NC2 Equinorm: Features: 0.03920474648475647, Weights: 0.02599956840276718
NC2 Equiangle: Features: 0.4325269063313802, Weights: 0.3759900728861491
NC3 Self-Duality: 0.13016578555107117
NC4 NCC Mismatch: 0.0635

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.362095832824707
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 8.312539100646973
Linear Weight Rank: 179
Intra Cos: 0.12304389476776123
Inter Cos: 0.0031485173385590315
Norm Quadratic Average: 5.059208393096924
Nearest Class Center Accuracy: 0.9205

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.298797607421875
Linear Weight Rank: 179
Intra Cos: 0.4787084460258484
Inter Cos: 0.03463305905461311
Norm Quadratic Average: 4.145692825317383
Nearest Class Center Accuracy: 0.95

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.328245162963867
Linear Weight Rank: 180
Intra Cos: 0.6506390571594238
Inter Cos: 0.0742749571800232
Norm Quadratic Average: 6.116048812866211
Nearest Class Center Accuracy: 0.939

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.31228256225586
Linear Weight Rank: 179
Intra Cos: 0.6714211702346802
Inter Cos: 0.07619380205869675
Norm Quadratic Average: 9.566515922546387
Nearest Class Center Accuracy: 0.933

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.97257661819458
Linear Weight Rank: 4
Intra Cos: 0.646842896938324
Inter Cos: 0.07599389553070068
Norm Quadratic Average: 14.396626472473145
Nearest Class Center Accuracy: 0.935

Output Layer:
Intra Cos: 0.7610840201377869
Inter Cos: 0.09275224804878235
Norm Quadratic Average: 26.503662109375
Nearest Class Center Accuracy: 0.945

