Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.186631441116333
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: 3.3463551998138428
Linear Weight Rank: 180
Intra Cos: 0.026384642347693443
Inter Cos: -0.004913895856589079
Norm Quadratic Average: 5.397401332855225
Nearest Class Center Accuracy: 0.5835

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2559499740600586
Linear Weight Rank: 179
Intra Cos: 0.0328742191195488
Inter Cos: -0.00494077755138278
Norm Quadratic Average: 5.379172325134277
Nearest Class Center Accuracy: 0.664125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1800343990325928
Linear Weight Rank: 179
Intra Cos: 0.049929168075323105
Inter Cos: -0.010650034993886948
Norm Quadratic Average: 5.363605976104736
Nearest Class Center Accuracy: 0.812125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.126591205596924
Linear Weight Rank: 179
Intra Cos: 0.13264355063438416
Inter Cos: -0.03910175338387489
Norm Quadratic Average: 5.366601467132568
Nearest Class Center Accuracy: 0.99625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1123247146606445
Linear Weight Rank: 4
Intra Cos: 0.6319752335548401
Inter Cos: -0.17835813760757446
Norm Quadratic Average: 5.802168846130371
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9585999846458435
Inter Cos: -0.21750326454639435
Norm Quadratic Average: 5.62428617477417
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.748023645401001
Accuracy: 0.7355
NC1 Within Class Collapse: 3.100790500640869
NC2 Equinorm: Features: 0.054390594363212585, Weights: 0.036649711430072784
NC2 Equiangle: Features: 0.05620100597540537, Weights: 0.02633822460969289
NC3 Self-Duality: 0.116392120718956
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.186631441116333
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: 3.3463551998138428
Linear Weight Rank: 180
Intra Cos: 0.0245585385710001
Inter Cos: -0.003468550741672516
Norm Quadratic Average: 5.397748947143555
Nearest Class Center Accuracy: 0.6005

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2559499740600586
Linear Weight Rank: 179
Intra Cos: 0.027740174904465675
Inter Cos: -0.0023892337922006845
Norm Quadratic Average: 5.375985622406006
Nearest Class Center Accuracy: 0.643

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1800343990325928
Linear Weight Rank: 179
Intra Cos: 0.03353191912174225
Inter Cos: -0.004158427007496357
Norm Quadratic Average: 5.357067584991455
Nearest Class Center Accuracy: 0.697

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.126591205596924
Linear Weight Rank: 179
Intra Cos: 0.06801324337720871
Inter Cos: -0.011134237982332706
Norm Quadratic Average: 5.286564826965332
Nearest Class Center Accuracy: 0.7405

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1123247146606445
Linear Weight Rank: 4
Intra Cos: 0.25308358669281006
Inter Cos: -0.05099695920944214
Norm Quadratic Average: 5.267179489135742
Nearest Class Center Accuracy: 0.7385

Output Layer:
Intra Cos: 0.43654975295066833
Inter Cos: -0.09764356166124344
Norm Quadratic Average: 4.762965679168701
Nearest Class Center Accuracy: 0.734

