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_314159_weight_decay_0.1.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.4686242341995239
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: 0.3886753022670746
Linear Weight Rank: 170
Intra Cos: 0.27265769243240356
Inter Cos: 0.21639342606067657
Norm Quadratic Average: 0.3275381326675415
Nearest Class Center Accuracy: 0.753875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3196447193622589
Linear Weight Rank: 170
Intra Cos: 0.957116961479187
Inter Cos: 0.038366444408893585
Norm Quadratic Average: 0.22263865172863007
Nearest Class Center Accuracy: 0.992375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3983990252017975
Linear Weight Rank: 168
Intra Cos: 0.9871441721916199
Inter Cos: -9.240955114364624e-05
Norm Quadratic Average: 0.25934576988220215
Nearest Class Center Accuracy: 0.99975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5952259302139282
Linear Weight Rank: 164
Intra Cos: 0.9902248382568359
Inter Cos: -0.18690630793571472
Norm Quadratic Average: 0.4499339759349823
Nearest Class Center Accuracy: 0.999875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.070883274078369
Linear Weight Rank: 3
Intra Cos: 0.9943526983261108
Inter Cos: -0.2753599286079407
Norm Quadratic Average: 1.9729281663894653
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9944978952407837
Inter Cos: -0.23792874813079834
Norm Quadratic Average: 2.3666136264801025
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.199757661819458
Accuracy: 0.9935
NC1 Within Class Collapse: 0.06070593371987343
NC2 Equinorm: Features: 0.013637150637805462, Weights: 0.02039206400513649
NC2 Equiangle: Features: 0.052983835339546204, Weights: 0.04495594402154287
NC3 Self-Duality: 0.001417201361618936
NC4 NCC Mismatch: 0.0014999999999999458

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.4686242341995239
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: 0.3886753022670746
Linear Weight Rank: 170
Intra Cos: 0.2920325994491577
Inter Cos: 0.2127237170934677
Norm Quadratic Average: 0.3305603563785553
Nearest Class Center Accuracy: 0.763

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3196447193622589
Linear Weight Rank: 170
Intra Cos: 0.9503248929977417
Inter Cos: 0.0433429591357708
Norm Quadratic Average: 0.222141832113266
Nearest Class Center Accuracy: 0.9825

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3983990252017975
Linear Weight Rank: 168
Intra Cos: 0.968411386013031
Inter Cos: 0.00044191768392920494
Norm Quadratic Average: 0.2580307722091675
Nearest Class Center Accuracy: 0.992

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5952259302139282
Linear Weight Rank: 164
Intra Cos: 0.9675413966178894
Inter Cos: -0.17538918554782867
Norm Quadratic Average: 0.4479164183139801
Nearest Class Center Accuracy: 0.9925

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.070883274078369
Linear Weight Rank: 3
Intra Cos: 0.9703819751739502
Inter Cos: -0.2576679587364197
Norm Quadratic Average: 1.9619958400726318
Nearest Class Center Accuracy: 0.993

Output Layer:
Intra Cos: 0.972857654094696
Inter Cos: -0.22189293801784515
Norm Quadratic Average: 2.351518392562866
Nearest Class Center Accuracy: 0.993

