Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.130075454711914
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
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: 5.08131217956543
Linear Weight Rank: 179
Intra Cos: 0.02415120042860508
Inter Cos: -0.004191315732896328
Norm Quadratic Average: 3.0765669345855713
Nearest Class Center Accuracy: 0.563375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.077952861785889
Linear Weight Rank: 179
Intra Cos: 0.031016742810606956
Inter Cos: 0.005514801945537329
Norm Quadratic Average: 0.8875364065170288
Nearest Class Center Accuracy: 0.538875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.11214542388916
Linear Weight Rank: 179
Intra Cos: 0.03564848750829697
Inter Cos: 0.024062111973762512
Norm Quadratic Average: 0.3573415279388428
Nearest Class Center Accuracy: 0.50175

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.091951847076416
Linear Weight Rank: 180
Intra Cos: 0.03484848141670227
Inter Cos: 0.04827173426747322
Norm Quadratic Average: 0.19888684153556824
Nearest Class Center Accuracy: 0.47175

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.020666480064392
Linear Weight Rank: 4
Intra Cos: 0.02444041520357132
Inter Cos: 0.07248565554618835
Norm Quadratic Average: 0.13601702451705933
Nearest Class Center Accuracy: 0.440125

Output Layer:
Intra Cos: 0.013782675378024578
Inter Cos: 0.09028749167919159
Norm Quadratic Average: 0.08798959106206894
Nearest Class Center Accuracy: 0.405125

Test Set:
Average Loss: 1.3637519302368164
Accuracy: 0.255
NC1 Within Class Collapse: 13.312337875366211
NC2 Equinorm: Features: 0.6682724952697754, Weights: 0.20197442173957825
NC2 Equiangle: Features: 0.811379591623942, Weights: 0.22093852361043295
NC3 Self-Duality: 0.5608139038085938
NC4 NCC Mismatch: 0.8795

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.130075454711914
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 5.08131217956543
Linear Weight Rank: 179
Intra Cos: 0.022949093952775
Inter Cos: -0.003386002965271473
Norm Quadratic Average: 3.068408727645874
Nearest Class Center Accuracy: 0.5795

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.077952861785889
Linear Weight Rank: 179
Intra Cos: 0.031243134289979935
Inter Cos: 0.006450118962675333
Norm Quadratic Average: 0.8801343441009521
Nearest Class Center Accuracy: 0.5425

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.11214542388916
Linear Weight Rank: 179
Intra Cos: 0.03571030870079994
Inter Cos: 0.024091364815831184
Norm Quadratic Average: 0.3529990017414093
Nearest Class Center Accuracy: 0.5105

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.091951847076416
Linear Weight Rank: 180
Intra Cos: 0.035028524696826935
Inter Cos: 0.054832398891448975
Norm Quadratic Average: 0.1961982101202011
Nearest Class Center Accuracy: 0.4875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.020666480064392
Linear Weight Rank: 4
Intra Cos: 0.025562481954693794
Inter Cos: 0.08648937195539474
Norm Quadratic Average: 0.13430526852607727
Nearest Class Center Accuracy: 0.438

Output Layer:
Intra Cos: 0.01578318513929844
Inter Cos: 0.10846664756536484
Norm Quadratic Average: 0.0868784636259079
Nearest Class Center Accuracy: 0.408

