Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.257705688476562
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.233659744262695
Linear Weight Rank: 180
Intra Cos: 0.029185060411691666
Inter Cos: -0.004840556066483259
Norm Quadratic Average: 14.040380477905273
Nearest Class Center Accuracy: 0.59125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.175230979919434
Linear Weight Rank: 179
Intra Cos: 0.02934408001601696
Inter Cos: -0.005928800441324711
Norm Quadratic Average: 14.010693550109863
Nearest Class Center Accuracy: 0.629875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167268753051758
Linear Weight Rank: 180
Intra Cos: 0.034831684082746506
Inter Cos: -0.009954186156392097
Norm Quadratic Average: 14.005548477172852
Nearest Class Center Accuracy: 0.72675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.119438171386719
Linear Weight Rank: 179
Intra Cos: 0.06483490765094757
Inter Cos: -0.01795576512813568
Norm Quadratic Average: 14.005743980407715
Nearest Class Center Accuracy: 0.931875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8712804317474365
Linear Weight Rank: 4
Intra Cos: 0.2013452649116516
Inter Cos: -0.0545390322804451
Norm Quadratic Average: 14.23434829711914
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8546867966651917
Inter Cos: -0.18879738450050354
Norm Quadratic Average: 11.570568084716797
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1422950325012207
Accuracy: 0.718
NC1 Within Class Collapse: 3.9379210472106934
NC2 Equinorm: Features: 0.07762487232685089, Weights: 0.044065024703741074
NC2 Equiangle: Features: 0.08856293559074402, Weights: 0.04730532566706339
NC3 Self-Duality: 0.18999285995960236
NC4 NCC Mismatch: 0.057499999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.257705688476562
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549726843833923
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.233659744262695
Linear Weight Rank: 180
Intra Cos: 0.026577841490507126
Inter Cos: -0.0045882416889071465
Norm Quadratic Average: 14.056295394897461
Nearest Class Center Accuracy: 0.5965

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.175230979919434
Linear Weight Rank: 179
Intra Cos: 0.025529928505420685
Inter Cos: -0.005445787683129311
Norm Quadratic Average: 14.018878936767578
Nearest Class Center Accuracy: 0.626

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167268753051758
Linear Weight Rank: 180
Intra Cos: 0.025886647403240204
Inter Cos: -0.006565099582076073
Norm Quadratic Average: 13.988018035888672
Nearest Class Center Accuracy: 0.657

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.119438171386719
Linear Weight Rank: 179
Intra Cos: 0.03767288848757744
Inter Cos: -0.00795516837388277
Norm Quadratic Average: 13.93858528137207
Nearest Class Center Accuracy: 0.701

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8712804317474365
Linear Weight Rank: 4
Intra Cos: 0.08879270404577255
Inter Cos: -0.016889451071619987
Norm Quadratic Average: 13.89543628692627
Nearest Class Center Accuracy: 0.7225

Output Layer:
Intra Cos: 0.3905285596847534
Inter Cos: -0.07920049130916595
Norm Quadratic Average: 10.637166976928711
Nearest Class Center Accuracy: 0.7175

