Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.9283976554870605
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: 5.871509075164795
Linear Weight Rank: 180
Intra Cos: 0.013619142584502697
Inter Cos: 0.008321238681674004
Norm Quadratic Average: 3.551753044128418
Nearest Class Center Accuracy: 0.451375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.867130756378174
Linear Weight Rank: 179
Intra Cos: 0.017304619774222374
Inter Cos: 0.05449376255273819
Norm Quadratic Average: 1.1982115507125854
Nearest Class Center Accuracy: 0.41

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.906867980957031
Linear Weight Rank: 179
Intra Cos: 0.020882418379187584
Inter Cos: 0.12121456116437912
Norm Quadratic Average: 0.6410415172576904
Nearest Class Center Accuracy: 0.376625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.88648796081543
Linear Weight Rank: 180
Intra Cos: 0.024492841213941574
Inter Cos: 0.15561220049858093
Norm Quadratic Average: 0.4820846617221832
Nearest Class Center Accuracy: 0.368875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.2316330671310425
Linear Weight Rank: 4
Intra Cos: 0.028253331780433655
Inter Cos: 0.15900051593780518
Norm Quadratic Average: 0.4178944230079651
Nearest Class Center Accuracy: 0.366875

Output Layer:
Intra Cos: 0.022476501762866974
Inter Cos: 0.14701664447784424
Norm Quadratic Average: 0.3742264211177826
Nearest Class Center Accuracy: 0.367875

Test Set:
Average Loss: 1.3251077423095703
Accuracy: 0.362
NC1 Within Class Collapse: 5273.94384765625
NC2 Equinorm: Features: 0.40796521306037903, Weights: 0.21257643401622772
NC2 Equiangle: Features: 0.8866755167643229, Weights: 0.29487915833791095
NC3 Self-Duality: 0.5401437282562256
NC4 NCC Mismatch: 0.368

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.9283976554870605
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: 5.871509075164795
Linear Weight Rank: 180
Intra Cos: 0.012031537480652332
Inter Cos: 0.007815074175596237
Norm Quadratic Average: 3.535412549972534
Nearest Class Center Accuracy: 0.455

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.867130756378174
Linear Weight Rank: 179
Intra Cos: 0.013796872459352016
Inter Cos: 0.054488345980644226
Norm Quadratic Average: 1.1913529634475708
Nearest Class Center Accuracy: 0.4275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.906867980957031
Linear Weight Rank: 179
Intra Cos: 0.01499274093657732
Inter Cos: 0.12441433221101761
Norm Quadratic Average: 0.6383678913116455
Nearest Class Center Accuracy: 0.38

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.88648796081543
Linear Weight Rank: 180
Intra Cos: 0.020696990191936493
Inter Cos: 0.16178706288337708
Norm Quadratic Average: 0.4790731370449066
Nearest Class Center Accuracy: 0.3645

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.2316330671310425
Linear Weight Rank: 4
Intra Cos: 0.027509506791830063
Inter Cos: 0.167739138007164
Norm Quadratic Average: 0.41461101174354553
Nearest Class Center Accuracy: 0.3615

Output Layer:
Intra Cos: 0.02369963750243187
Inter Cos: 0.15832968056201935
Norm Quadratic Average: 0.37084078788757324
Nearest Class Center Accuracy: 0.361

