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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.469725608825684
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: 8.402159690856934
Linear Weight Rank: 179
Intra Cos: 0.0274372398853302
Inter Cos: -0.004959670826792717
Norm Quadratic Average: 5.097500801086426
Nearest Class Center Accuracy: 0.592375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.395017623901367
Linear Weight Rank: 179
Intra Cos: 0.06811784952878952
Inter Cos: -0.015932418406009674
Norm Quadratic Average: 2.5394489765167236
Nearest Class Center Accuracy: 0.674625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.450440406799316
Linear Weight Rank: 179
Intra Cos: 0.16591483354568481
Inter Cos: -0.030429691076278687
Norm Quadratic Average: 1.8758803606033325
Nearest Class Center Accuracy: 0.721375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.425808906555176
Linear Weight Rank: 179
Intra Cos: 0.256168007850647
Inter Cos: -0.04185367748141289
Norm Quadratic Average: 2.099186420440674
Nearest Class Center Accuracy: 0.73725

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.615732192993164
Linear Weight Rank: 4
Intra Cos: 0.2939988970756531
Inter Cos: -0.043114613741636276
Norm Quadratic Average: 2.748105764389038
Nearest Class Center Accuracy: 0.735875

Output Layer:
Intra Cos: 0.31397950649261475
Inter Cos: -0.02473166398704052
Norm Quadratic Average: 3.817953109741211
Nearest Class Center Accuracy: 0.71575

Test Set:
Average Loss: 0.687775411605835
Accuracy: 0.7025
NC1 Within Class Collapse: 5.733310699462891
NC2 Equinorm: Features: 0.1610366702079773, Weights: 0.06817539781332016
NC2 Equiangle: Features: 0.2384743889172872, Weights: 0.09510672092437744
NC3 Self-Duality: 0.17283985018730164
NC4 NCC Mismatch: 0.09499999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.469725608825684
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: 8.402159690856934
Linear Weight Rank: 179
Intra Cos: 0.02560954913496971
Inter Cos: -0.0038765263743698597
Norm Quadratic Average: 5.086404323577881
Nearest Class Center Accuracy: 0.5995

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.395017623901367
Linear Weight Rank: 179
Intra Cos: 0.06140198931097984
Inter Cos: -0.01287927757948637
Norm Quadratic Average: 2.5241544246673584
Nearest Class Center Accuracy: 0.647

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.450440406799316
Linear Weight Rank: 179
Intra Cos: 0.1435902863740921
Inter Cos: -0.028163474053144455
Norm Quadratic Average: 1.8587568998336792
Nearest Class Center Accuracy: 0.6825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.425808906555176
Linear Weight Rank: 179
Intra Cos: 0.22059696912765503
Inter Cos: -0.03153803572058678
Norm Quadratic Average: 2.07776141166687
Nearest Class Center Accuracy: 0.694

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.615732192993164
Linear Weight Rank: 4
Intra Cos: 0.2563050091266632
Inter Cos: -0.017413999885320663
Norm Quadratic Average: 2.7204179763793945
Nearest Class Center Accuracy: 0.7015

Output Layer:
Intra Cos: 0.27691325545310974
Inter Cos: 0.004851169418543577
Norm Quadratic Average: 3.783010721206665
Nearest Class Center Accuracy: 0.685

