Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_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: 8.064427375793457
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.140968322753906
Linear Weight Rank: 180
Intra Cos: 0.012503217905759811
Inter Cos: 0.005578874610364437
Norm Quadratic Average: 13.79207706451416
Nearest Class Center Accuracy: 0.461875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.077162742614746
Linear Weight Rank: 179
Intra Cos: 0.01072565745562315
Inter Cos: 0.004244579933583736
Norm Quadratic Average: 13.761176109313965
Nearest Class Center Accuracy: 0.48275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.071959495544434
Linear Weight Rank: 180
Intra Cos: 0.011737266555428505
Inter Cos: -0.0003432560770306736
Norm Quadratic Average: 13.703885078430176
Nearest Class Center Accuracy: 0.551625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.982260227203369
Linear Weight Rank: 179
Intra Cos: 0.024676375091075897
Inter Cos: -0.0036993552930653095
Norm Quadratic Average: 13.689327239990234
Nearest Class Center Accuracy: 0.79975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2555694580078125
Linear Weight Rank: 4
Intra Cos: 0.12212701141834259
Inter Cos: -0.023093415424227715
Norm Quadratic Average: 14.079232215881348
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8685142397880554
Inter Cos: -0.1719459891319275
Norm Quadratic Average: 9.910014152526855
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.3693284912109376
Accuracy: 0.4945
NC1 Within Class Collapse: 13.196979522705078
NC2 Equinorm: Features: 0.07157256454229355, Weights: 0.021479805931448936
NC2 Equiangle: Features: 0.24352135260899863, Weights: 0.04098390539487203
NC3 Self-Duality: 0.319720983505249
NC4 NCC Mismatch: 0.14549999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.064427375793457
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.140968322753906
Linear Weight Rank: 180
Intra Cos: 0.012269792146980762
Inter Cos: 0.004905479960143566
Norm Quadratic Average: 13.730813026428223
Nearest Class Center Accuracy: 0.463

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.077162742614746
Linear Weight Rank: 179
Intra Cos: 0.010659147053956985
Inter Cos: 0.004430673085153103
Norm Quadratic Average: 13.676485061645508
Nearest Class Center Accuracy: 0.4935

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.071959495544434
Linear Weight Rank: 180
Intra Cos: 0.0077109551057219505
Inter Cos: 0.0012370779877528548
Norm Quadratic Average: 13.664972305297852
Nearest Class Center Accuracy: 0.5005

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.982260227203369
Linear Weight Rank: 179
Intra Cos: 0.007309034466743469
Inter Cos: -1.870913547463715e-05
Norm Quadratic Average: 13.633540153503418
Nearest Class Center Accuracy: 0.5145

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2555694580078125
Linear Weight Rank: 4
Intra Cos: 0.016209451481699944
Inter Cos: 0.0024994362611323595
Norm Quadratic Average: 13.621015548706055
Nearest Class Center Accuracy: 0.521

Output Layer:
Intra Cos: 0.11774971336126328
Inter Cos: 0.021239271387457848
Norm Quadratic Average: 8.163729667663574
Nearest Class Center Accuracy: 0.4945

