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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.947336673736572
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: 5.967901229858398
Linear Weight Rank: 179
Intra Cos: 0.028955800458788872
Inter Cos: -0.0008294670842587948
Norm Quadratic Average: 3.5729379653930664
Nearest Class Center Accuracy: 0.577

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.984857559204102
Linear Weight Rank: 179
Intra Cos: 0.07609463483095169
Inter Cos: 0.024582860991358757
Norm Quadratic Average: 1.459956407546997
Nearest Class Center Accuracy: 0.5375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.950037956237793
Linear Weight Rank: 179
Intra Cos: 0.12341175228357315
Inter Cos: 0.05034439638257027
Norm Quadratic Average: 1.0180494785308838
Nearest Class Center Accuracy: 0.51075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.970012664794922
Linear Weight Rank: 179
Intra Cos: 0.12874068319797516
Inter Cos: 0.06929752230644226
Norm Quadratic Average: 0.9430329203605652
Nearest Class Center Accuracy: 0.489625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.614356517791748
Linear Weight Rank: 4
Intra Cos: 0.10328852385282516
Inter Cos: 0.09341885894536972
Norm Quadratic Average: 0.9585751295089722
Nearest Class Center Accuracy: 0.470375

Output Layer:
Intra Cos: 0.051991574466228485
Inter Cos: 0.10817940533161163
Norm Quadratic Average: 1.122400164604187
Nearest Class Center Accuracy: 0.44775

Test Set:
Average Loss: 1.1627036895751952
Accuracy: 0.4855
NC1 Within Class Collapse: 99.30178833007812
NC2 Equinorm: Features: 0.617301344871521, Weights: 0.2600249648094177
NC2 Equiangle: Features: 0.6874566872914633, Weights: 0.2927677234013875
NC3 Self-Duality: 0.3312864303588867
NC4 NCC Mismatch: 0.25949999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.947336673736572
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: 5.967901229858398
Linear Weight Rank: 179
Intra Cos: 0.028497928753495216
Inter Cos: 0.000601397012360394
Norm Quadratic Average: 3.579894781112671
Nearest Class Center Accuracy: 0.5735

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.984857559204102
Linear Weight Rank: 179
Intra Cos: 0.07981135696172714
Inter Cos: 0.031488243490457535
Norm Quadratic Average: 1.4524856805801392
Nearest Class Center Accuracy: 0.547

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.950037956237793
Linear Weight Rank: 179
Intra Cos: 0.13350865244865417
Inter Cos: 0.06659995019435883
Norm Quadratic Average: 1.00908362865448
Nearest Class Center Accuracy: 0.514

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.970012664794922
Linear Weight Rank: 179
Intra Cos: 0.13814282417297363
Inter Cos: 0.08105389028787613
Norm Quadratic Average: 0.9360058903694153
Nearest Class Center Accuracy: 0.49

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.614356517791748
Linear Weight Rank: 4
Intra Cos: 0.10258524119853973
Inter Cos: 0.09817434102296829
Norm Quadratic Average: 0.952441930770874
Nearest Class Center Accuracy: 0.472

Output Layer:
Intra Cos: 0.05830715596675873
Inter Cos: 0.105507493019104
Norm Quadratic Average: 1.1180192232131958
Nearest Class Center Accuracy: 0.451

