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_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.300712585449219
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.32275676727295
Linear Weight Rank: 179
Intra Cos: 0.027546515688300133
Inter Cos: -0.003981395624577999
Norm Quadratic Average: 4.976357936859131
Nearest Class Center Accuracy: 0.5895

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.343494415283203
Linear Weight Rank: 179
Intra Cos: 0.06580064445734024
Inter Cos: -0.01365986093878746
Norm Quadratic Average: 2.5018117427825928
Nearest Class Center Accuracy: 0.66525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.294172286987305
Linear Weight Rank: 179
Intra Cos: 0.15453840792179108
Inter Cos: -0.018267972394824028
Norm Quadratic Average: 1.8747639656066895
Nearest Class Center Accuracy: 0.695

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.314947128295898
Linear Weight Rank: 179
Intra Cos: 0.2397877275943756
Inter Cos: -0.006287460681051016
Norm Quadratic Average: 2.0668792724609375
Nearest Class Center Accuracy: 0.705

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.482954263687134
Linear Weight Rank: 4
Intra Cos: 0.2866870164871216
Inter Cos: 0.004697917960584164
Norm Quadratic Average: 2.584199905395508
Nearest Class Center Accuracy: 0.70275

Output Layer:
Intra Cos: 0.3233906328678131
Inter Cos: 0.022961756214499474
Norm Quadratic Average: 3.4666454792022705
Nearest Class Center Accuracy: 0.68025

Test Set:
Average Loss: 0.7518358631134033
Accuracy: 0.688
NC1 Within Class Collapse: 6.584887504577637
NC2 Equinorm: Features: 0.14836886525154114, Weights: 0.060466084629297256
NC2 Equiangle: Features: 0.28275426228841144, Weights: 0.17149090766906738
NC3 Self-Duality: 0.1783219426870346
NC4 NCC Mismatch: 0.10199999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.300712585449219
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
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: 8.32275676727295
Linear Weight Rank: 179
Intra Cos: 0.02730860374867916
Inter Cos: -0.003021748038008809
Norm Quadratic Average: 4.987770080566406
Nearest Class Center Accuracy: 0.5895

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.343494415283203
Linear Weight Rank: 179
Intra Cos: 0.05828813835978508
Inter Cos: -0.009375050663948059
Norm Quadratic Average: 2.4967761039733887
Nearest Class Center Accuracy: 0.649

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.294172286987305
Linear Weight Rank: 179
Intra Cos: 0.13310831785202026
Inter Cos: -0.021198874339461327
Norm Quadratic Average: 1.855455756187439
Nearest Class Center Accuracy: 0.671

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.314947128295898
Linear Weight Rank: 179
Intra Cos: 0.20557723939418793
Inter Cos: -0.01271604560315609
Norm Quadratic Average: 2.0385208129882812
Nearest Class Center Accuracy: 0.6765

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.482954263687134
Linear Weight Rank: 4
Intra Cos: 0.24549685418605804
Inter Cos: -0.002066010143607855
Norm Quadratic Average: 2.5497846603393555
Nearest Class Center Accuracy: 0.679

Output Layer:
Intra Cos: 0.28180232644081116
Inter Cos: 0.01754659414291382
Norm Quadratic Average: 3.4220974445343018
Nearest Class Center Accuracy: 0.657

