Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.031393051147461
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 7.986286163330078
Linear Weight Rank: 179
Intra Cos: 0.07522773742675781
Inter Cos: 0.005769561510533094
Norm Quadratic Average: 13.742639541625977
Nearest Class Center Accuracy: 0.8795

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.957971096038818
Linear Weight Rank: 179
Intra Cos: 0.11398112773895264
Inter Cos: 0.00478943670168519
Norm Quadratic Average: 13.722699165344238
Nearest Class Center Accuracy: 0.923

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.996702671051025
Linear Weight Rank: 180
Intra Cos: 0.1547817885875702
Inter Cos: -0.0012677781051024795
Norm Quadratic Average: 13.718995094299316
Nearest Class Center Accuracy: 0.960125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.952775478363037
Linear Weight Rank: 180
Intra Cos: 0.21235747635364532
Inter Cos: -0.006392939016222954
Norm Quadratic Average: 13.65873908996582
Nearest Class Center Accuracy: 0.998

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.433619260787964
Linear Weight Rank: 4
Intra Cos: 0.36824309825897217
Inter Cos: -0.04152277857065201
Norm Quadratic Average: 13.76460075378418
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9212555885314941
Inter Cos: -0.04965806007385254
Norm Quadratic Average: 12.103185653686523
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.25272440147399905
Accuracy: 0.9045
NC1 Within Class Collapse: 1.2930530309677124
NC2 Equinorm: Features: 0.007331843487918377, Weights: 0.017278190702199936
NC2 Equiangle: Features: 0.30727072556813556, Weights: 0.1373812754948934
NC3 Self-Duality: 0.21249160170555115
NC4 NCC Mismatch: 0.021499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.031393051147461
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
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: 7.986286163330078
Linear Weight Rank: 179
Intra Cos: 0.07361967116594315
Inter Cos: 0.005954043939709663
Norm Quadratic Average: 13.727835655212402
Nearest Class Center Accuracy: 0.8865

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.957971096038818
Linear Weight Rank: 179
Intra Cos: 0.1096968799829483
Inter Cos: 0.004419065546244383
Norm Quadratic Average: 13.733073234558105
Nearest Class Center Accuracy: 0.9065

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.996702671051025
Linear Weight Rank: 180
Intra Cos: 0.14034736156463623
Inter Cos: 0.006712469272315502
Norm Quadratic Average: 13.752059936523438
Nearest Class Center Accuracy: 0.912

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.952775478363037
Linear Weight Rank: 180
Intra Cos: 0.18532457947731018
Inter Cos: -0.003839266486465931
Norm Quadratic Average: 13.625970840454102
Nearest Class Center Accuracy: 0.925

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.433619260787964
Linear Weight Rank: 4
Intra Cos: 0.29053935408592224
Inter Cos: -0.012566403485834599
Norm Quadratic Average: 13.548245429992676
Nearest Class Center Accuracy: 0.9155

Output Layer:
Intra Cos: 0.7391752600669861
Inter Cos: 0.008759357035160065
Norm Quadratic Average: 11.68196964263916
Nearest Class Center Accuracy: 0.9145

