Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.045035362243652
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
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: 7.99981689453125
Linear Weight Rank: 179
Intra Cos: 0.07511024922132492
Inter Cos: 0.005789576098322868
Norm Quadratic Average: 13.819558143615723
Nearest Class Center Accuracy: 0.878875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.971494674682617
Linear Weight Rank: 179
Intra Cos: 0.11381305009126663
Inter Cos: 0.005871377885341644
Norm Quadratic Average: 13.802154541015625
Nearest Class Center Accuracy: 0.922

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.010334968566895
Linear Weight Rank: 180
Intra Cos: 0.15464821457862854
Inter Cos: -0.0027168351225554943
Norm Quadratic Average: 13.788958549499512
Nearest Class Center Accuracy: 0.96

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966352462768555
Linear Weight Rank: 180
Intra Cos: 0.21554796397686005
Inter Cos: -0.003570020431652665
Norm Quadratic Average: 13.754322052001953
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.415111541748047
Linear Weight Rank: 4
Intra Cos: 0.3639964163303375
Inter Cos: -0.046203985810279846
Norm Quadratic Average: 13.815911293029785
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9147439002990723
Inter Cos: -0.06091248244047165
Norm Quadratic Average: 12.006111145019531
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2540282263755798
Accuracy: 0.9055
NC1 Within Class Collapse: 1.2988770008087158
NC2 Equinorm: Features: 0.00782785750925541, Weights: 0.017891529947519302
NC2 Equiangle: Features: 0.3065168460210164, Weights: 0.13986125588417053
NC3 Self-Duality: 0.2148551493883133
NC4 NCC Mismatch: 0.01849999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.045035362243652
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.0033128932118415833
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: 7.99981689453125
Linear Weight Rank: 179
Intra Cos: 0.0734390839934349
Inter Cos: 0.006128334440290928
Norm Quadratic Average: 13.80416488647461
Nearest Class Center Accuracy: 0.885

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.971494674682617
Linear Weight Rank: 179
Intra Cos: 0.10952913761138916
Inter Cos: 0.005596182309091091
Norm Quadratic Average: 13.809026718139648
Nearest Class Center Accuracy: 0.905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.010334968566895
Linear Weight Rank: 180
Intra Cos: 0.14025947451591492
Inter Cos: 0.005480177700519562
Norm Quadratic Average: 13.815930366516113
Nearest Class Center Accuracy: 0.914

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966352462768555
Linear Weight Rank: 180
Intra Cos: 0.18549790978431702
Inter Cos: -0.0012767293956130743
Norm Quadratic Average: 13.716343879699707
Nearest Class Center Accuracy: 0.927

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.415111541748047
Linear Weight Rank: 4
Intra Cos: 0.2864212095737457
Inter Cos: -0.017417756840586662
Norm Quadratic Average: 13.603507995605469
Nearest Class Center Accuracy: 0.9115

Output Layer:
Intra Cos: 0.7304129600524902
Inter Cos: -0.00419260561466217
Norm Quadratic Average: 11.608487129211426
Nearest Class Center Accuracy: 0.911

