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_314159_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.856528282165527
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: 5.961307525634766
Linear Weight Rank: 180
Intra Cos: 0.02541489340364933
Inter Cos: -0.0033884416334331036
Norm Quadratic Average: 10.118124008178711
Nearest Class Center Accuracy: 0.5865

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.92952299118042
Linear Weight Rank: 179
Intra Cos: 0.027556762099266052
Inter Cos: -0.0025902537163347006
Norm Quadratic Average: 10.105381965637207
Nearest Class Center Accuracy: 0.644125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8499298095703125
Linear Weight Rank: 179
Intra Cos: 0.039596423506736755
Inter Cos: -0.005553343333303928
Norm Quadratic Average: 10.078231811523438
Nearest Class Center Accuracy: 0.757625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.834880352020264
Linear Weight Rank: 179
Intra Cos: 0.07671104371547699
Inter Cos: -0.021283095702528954
Norm Quadratic Average: 10.059453010559082
Nearest Class Center Accuracy: 0.967

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.450413227081299
Linear Weight Rank: 4
Intra Cos: 0.29507577419281006
Inter Cos: -0.0729924738407135
Norm Quadratic Average: 10.340893745422363
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8961421251296997
Inter Cos: -0.15146847069263458
Norm Quadratic Average: 8.56216049194336
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.909798957824707
Accuracy: 0.7325
NC1 Within Class Collapse: 3.5073482990264893
NC2 Equinorm: Features: 0.05240964516997337, Weights: 0.027833634987473488
NC2 Equiangle: Features: 0.10830612977345784, Weights: 0.0415818989276886
NC3 Self-Duality: 0.15471182763576508
NC4 NCC Mismatch: 0.04300000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.856528282165527
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: 5.961307525634766
Linear Weight Rank: 180
Intra Cos: 0.02477201074361801
Inter Cos: -0.0027622608467936516
Norm Quadratic Average: 10.163853645324707
Nearest Class Center Accuracy: 0.5765

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.92952299118042
Linear Weight Rank: 179
Intra Cos: 0.023720594123005867
Inter Cos: -0.0019844812341034412
Norm Quadratic Average: 10.123259544372559
Nearest Class Center Accuracy: 0.6205

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8499298095703125
Linear Weight Rank: 179
Intra Cos: 0.02987535670399666
Inter Cos: -0.0013976877089589834
Norm Quadratic Average: 10.092673301696777
Nearest Class Center Accuracy: 0.669

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.834880352020264
Linear Weight Rank: 179
Intra Cos: 0.046723220497369766
Inter Cos: -0.005632953718304634
Norm Quadratic Average: 9.985345840454102
Nearest Class Center Accuracy: 0.715

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.450413227081299
Linear Weight Rank: 4
Intra Cos: 0.1303901970386505
Inter Cos: -0.022083470597863197
Norm Quadratic Average: 9.975168228149414
Nearest Class Center Accuracy: 0.741

Output Layer:
Intra Cos: 0.42351189255714417
Inter Cos: -0.07113464176654816
Norm Quadratic Average: 7.757370471954346
Nearest Class Center Accuracy: 0.737

