Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_338327_weight_decay_0.07.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.5772431492805481
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 0.6646630167961121
Linear Weight Rank: 174
Intra Cos: 0.19177527725696564
Inter Cos: 0.038577549159526825
Norm Quadratic Average: 0.558555543422699
Nearest Class Center Accuracy: 0.8255

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.48080193996429443
Linear Weight Rank: 176
Intra Cos: 0.4140865206718445
Inter Cos: 0.041983578354120255
Norm Quadratic Average: 0.19512055814266205
Nearest Class Center Accuracy: 1.0

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4586346447467804
Linear Weight Rank: 176
Intra Cos: 0.9501125812530518
Inter Cos: 0.053137753158807755
Norm Quadratic Average: 0.2534736096858978
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6217872500419617
Linear Weight Rank: 175
Intra Cos: 0.9889386892318726
Inter Cos: -0.11484271287918091
Norm Quadratic Average: 0.48853743076324463
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2200260162353516
Linear Weight Rank: 3
Intra Cos: 0.9972883462905884
Inter Cos: -0.2768245041370392
Norm Quadratic Average: 2.179861307144165
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9981249570846558
Inter Cos: -0.24822577834129333
Norm Quadratic Average: 2.8013365268707275
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.15086717462539673
Accuracy: 0.9845
NC1 Within Class Collapse: 0.10587664693593979
NC2 Equinorm: Features: 0.006708676926791668, Weights: 0.018767882138490677
NC2 Equiangle: Features: 0.07032758990923564, Weights: 0.03331469496091207
NC3 Self-Duality: 0.0023882752284407616
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.5772431492805481
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 0.6646630167961121
Linear Weight Rank: 174
Intra Cos: 0.18958604335784912
Inter Cos: 0.03812427818775177
Norm Quadratic Average: 0.5593382716178894
Nearest Class Center Accuracy: 0.838

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.48080193996429443
Linear Weight Rank: 176
Intra Cos: 0.4034348428249359
Inter Cos: 0.05261901766061783
Norm Quadratic Average: 0.19361115992069244
Nearest Class Center Accuracy: 0.9855

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4586346447467804
Linear Weight Rank: 176
Intra Cos: 0.9159056544303894
Inter Cos: 0.06959805637598038
Norm Quadratic Average: 0.25070953369140625
Nearest Class Center Accuracy: 0.984

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6217872500419617
Linear Weight Rank: 175
Intra Cos: 0.9550089836120605
Inter Cos: -0.08798451721668243
Norm Quadratic Average: 0.4813958406448364
Nearest Class Center Accuracy: 0.985

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2200260162353516
Linear Weight Rank: 3
Intra Cos: 0.9584802389144897
Inter Cos: -0.23846770823001862
Norm Quadratic Average: 2.140066623687744
Nearest Class Center Accuracy: 0.9845

Output Layer:
Intra Cos: 0.961294949054718
Inter Cos: -0.21170254051685333
Norm Quadratic Average: 2.748579978942871
Nearest Class Center Accuracy: 0.9845

