Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.137146949768066
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
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: 8.18741512298584
Linear Weight Rank: 179
Intra Cos: 0.0789710134267807
Inter Cos: 0.006578951142728329
Norm Quadratic Average: 14.117168426513672
Nearest Class Center Accuracy: 0.86975

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.184982299804688
Linear Weight Rank: 179
Intra Cos: 0.11263778060674667
Inter Cos: 0.00876954197883606
Norm Quadratic Average: 14.070338249206543
Nearest Class Center Accuracy: 0.908625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114094734191895
Linear Weight Rank: 180
Intra Cos: 0.13611111044883728
Inter Cos: 0.001342586474493146
Norm Quadratic Average: 14.02772045135498
Nearest Class Center Accuracy: 0.9535

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11635971069336
Linear Weight Rank: 179
Intra Cos: 0.19548048079013824
Inter Cos: -0.009893746115267277
Norm Quadratic Average: 13.985153198242188
Nearest Class Center Accuracy: 0.9965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4678988456726074
Linear Weight Rank: 4
Intra Cos: 0.3514310121536255
Inter Cos: -0.043129876255989075
Norm Quadratic Average: 14.122282981872559
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.918078601360321
Inter Cos: -0.08021119982004166
Norm Quadratic Average: 12.317253112792969
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2950524911880493
Accuracy: 0.8975
NC1 Within Class Collapse: 1.3146551847457886
NC2 Equinorm: Features: 0.01653428003191948, Weights: 0.025241823866963387
NC2 Equiangle: Features: 0.30254119634628296, Weights: 0.11060307423273723
NC3 Self-Duality: 0.2244606614112854
NC4 NCC Mismatch: 0.025000000000000022

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.137146949768066
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 8.18741512298584
Linear Weight Rank: 179
Intra Cos: 0.07958050817251205
Inter Cos: 0.007442086935043335
Norm Quadratic Average: 14.103221893310547
Nearest Class Center Accuracy: 0.874

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.184982299804688
Linear Weight Rank: 179
Intra Cos: 0.10797541588544846
Inter Cos: 0.0033772573806345463
Norm Quadratic Average: 14.112871170043945
Nearest Class Center Accuracy: 0.8935

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114094734191895
Linear Weight Rank: 180
Intra Cos: 0.12577074766159058
Inter Cos: 0.008689284324645996
Norm Quadratic Average: 14.066436767578125
Nearest Class Center Accuracy: 0.889

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11635971069336
Linear Weight Rank: 179
Intra Cos: 0.16782031953334808
Inter Cos: -0.00890413299202919
Norm Quadratic Average: 13.956419944763184
Nearest Class Center Accuracy: 0.905

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4678988456726074
Linear Weight Rank: 4
Intra Cos: 0.2723141610622406
Inter Cos: -0.026986759155988693
Norm Quadratic Average: 13.979763984680176
Nearest Class Center Accuracy: 0.9045

Output Layer:
Intra Cos: 0.7369987964630127
Inter Cos: -0.03173111751675606
Norm Quadratic Average: 11.971538543701172
Nearest Class Center Accuracy: 0.9

