Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.122791767120361
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05645751953125
Linear Weight Rank: 179
Intra Cos: 0.012039151042699814
Inter Cos: 0.003170145908370614
Norm Quadratic Average: 2.99896502494812
Nearest Class Center Accuracy: 0.45

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0448317527771
Linear Weight Rank: 179
Intra Cos: 0.009724609553813934
Inter Cos: 0.0034896316938102245
Norm Quadratic Average: 0.7067649960517883
Nearest Class Center Accuracy: 0.427

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0604472160339355
Linear Weight Rank: 180
Intra Cos: 0.00950102973729372
Inter Cos: 0.005248617380857468
Norm Quadratic Average: 0.16632792353630066
Nearest Class Center Accuracy: 0.42

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.042925834655762
Linear Weight Rank: 180
Intra Cos: 0.010796655900776386
Inter Cos: 0.003984436858445406
Norm Quadratic Average: 0.03965789079666138
Nearest Class Center Accuracy: 0.415875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05641508102417
Linear Weight Rank: 180
Intra Cos: 0.010084817185997963
Inter Cos: 0.0033994000405073166
Norm Quadratic Average: 0.010192250832915306
Nearest Class Center Accuracy: 0.39775

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043553829193115
Linear Weight Rank: 180
Intra Cos: 0.009741414338350296
Inter Cos: 0.0015030602226033807
Norm Quadratic Average: 0.00254633417353034
Nearest Class Center Accuracy: 0.393125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043033123016357
Linear Weight Rank: 180
Intra Cos: 0.009806197136640549
Inter Cos: 0.0017049293965101242
Norm Quadratic Average: 0.0005912364576943219
Nearest Class Center Accuracy: 0.38525

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7187197208404541
Linear Weight Rank: 4
Intra Cos: 0.009637117385864258
Inter Cos: 0.0025800373405218124
Norm Quadratic Average: 0.00015339182573370636
Nearest Class Center Accuracy: 0.376375

Output Layer:
Intra Cos: 0.001238877885043621
Inter Cos: 0.0037286067381501198
Norm Quadratic Average: 5.848833097843453e-06
Nearest Class Center Accuracy: 0.312125

Test Set:
Average Loss: 1.3837144622802735
Accuracy: 0.2695
NC1 Within Class Collapse: 65.0251693725586
NC2 Equinorm: Features: 0.15756656229496002, Weights: 0.054080747067928314
NC2 Equiangle: Features: 0.12840823332468668, Weights: 0.3210899035135905
NC3 Self-Duality: 1.9457898139953613
NC4 NCC Mismatch: 0.775

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.122791767120361
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05645751953125
Linear Weight Rank: 179
Intra Cos: 0.013125728815793991
Inter Cos: 0.0036018863320350647
Norm Quadratic Average: 2.9960498809814453
Nearest Class Center Accuracy: 0.464

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0448317527771
Linear Weight Rank: 179
Intra Cos: 0.010488822124898434
Inter Cos: 0.003253592411056161
Norm Quadratic Average: 0.7059992551803589
Nearest Class Center Accuracy: 0.453

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0604472160339355
Linear Weight Rank: 180
Intra Cos: 0.010069068521261215
Inter Cos: 0.004045025911182165
Norm Quadratic Average: 0.16579116880893707
Nearest Class Center Accuracy: 0.423

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.042925834655762
Linear Weight Rank: 180
Intra Cos: 0.01182823907583952
Inter Cos: 0.004104464314877987
Norm Quadratic Average: 0.03945029154419899
Nearest Class Center Accuracy: 0.4225

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05641508102417
Linear Weight Rank: 180
Intra Cos: 0.009794008918106556
Inter Cos: 0.004531921353191137
Norm Quadratic Average: 0.010142818093299866
Nearest Class Center Accuracy: 0.4125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043553829193115
Linear Weight Rank: 180
Intra Cos: 0.008947267197072506
Inter Cos: 0.002406455809250474
Norm Quadratic Average: 0.002534786704927683
Nearest Class Center Accuracy: 0.3935

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043033123016357
Linear Weight Rank: 180
Intra Cos: 0.007484046742320061
Inter Cos: 0.0002813627361319959
Norm Quadratic Average: 0.0005890188040211797
Nearest Class Center Accuracy: 0.3845

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7187197208404541
Linear Weight Rank: 4
Intra Cos: 0.007839989848434925
Inter Cos: 0.0003013128589373082
Norm Quadratic Average: 0.00015278445789590478
Nearest Class Center Accuracy: 0.3955

Output Layer:
Intra Cos: 0.0063171470537781715
Inter Cos: 0.005044938065111637
Norm Quadratic Average: 5.9012218116549775e-06
Nearest Class Center Accuracy: 0.2955

