Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.734169065952301
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
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: 0.7354402542114258
Linear Weight Rank: 179
Intra Cos: 0.023619582876563072
Inter Cos: -0.002579041291028261
Norm Quadratic Average: 0.43645644187927246
Nearest Class Center Accuracy: 0.56825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7371909618377686
Linear Weight Rank: 179
Intra Cos: 0.021094659343361855
Inter Cos: -0.002484426135197282
Norm Quadratic Average: 0.014652371406555176
Nearest Class Center Accuracy: 0.5475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7319042086601257
Linear Weight Rank: 179
Intra Cos: 0.01940954476594925
Inter Cos: -0.002066622721031308
Norm Quadratic Average: 0.0005306678358465433
Nearest Class Center Accuracy: 0.534125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7327495217323303
Linear Weight Rank: 180
Intra Cos: 0.022221000865101814
Inter Cos: -0.0011358450865373015
Norm Quadratic Average: 1.911494655360002e-05
Nearest Class Center Accuracy: 0.50625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.734700083732605
Linear Weight Rank: 179
Intra Cos: 0.0170255396515131
Inter Cos: 0.0005215196288190782
Norm Quadratic Average: 7.021956207609037e-07
Nearest Class Center Accuracy: 0.4785

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7328119277954102
Linear Weight Rank: 180
Intra Cos: 0.27548009157180786
Inter Cos: 0.2646041512489319
Norm Quadratic Average: 2.8016057029844887e-08
Nearest Class Center Accuracy: 0.454

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7323237061500549
Linear Weight Rank: 179
Intra Cos: 0.9924668073654175
Inter Cos: 0.992573618888855
Norm Quadratic Average: 1.4341409837470565e-08
Nearest Class Center Accuracy: 0.256125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.11042366921901703
Linear Weight Rank: 4
Intra Cos: 0.9995583891868591
Inter Cos: 0.9995861649513245
Norm Quadratic Average: 2.136993515478025e-08
Nearest Class Center Accuracy: 0.222375

Output Layer:
Intra Cos: 1.0
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 9.584934446138504e-08
Nearest Class Center Accuracy: 0.24175

Test Set:
Average Loss: 1.3859701118469239
Accuracy: 0.255
NC1 Within Class Collapse: 2.4598286151885986
NC2 Equinorm: Features: 0.07917119562625885, Weights: 0.03802156820893288
NC2 Equiangle: Features: 0.2971249620119731, Weights: 0.3299187421798706
NC3 Self-Duality: 1.7214616537094116
NC4 NCC Mismatch: 1.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.734169065952301
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 0.7354402542114258
Linear Weight Rank: 179
Intra Cos: 0.02337387576699257
Inter Cos: -0.0016146543202921748
Norm Quadratic Average: 0.43763837218284607
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7371909618377686
Linear Weight Rank: 179
Intra Cos: 0.020335603505373
Inter Cos: -0.0019230680773034692
Norm Quadratic Average: 0.014664659276604652
Nearest Class Center Accuracy: 0.5495

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7319042086601257
Linear Weight Rank: 179
Intra Cos: 0.019024021923542023
Inter Cos: -0.002530321478843689
Norm Quadratic Average: 0.0005315754096955061
Nearest Class Center Accuracy: 0.552

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7327495217323303
Linear Weight Rank: 180
Intra Cos: 0.022097470238804817
Inter Cos: -0.0016470694681629539
Norm Quadratic Average: 1.90810278581921e-05
Nearest Class Center Accuracy: 0.5215

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.734700083732605
Linear Weight Rank: 179
Intra Cos: 0.016835913062095642
Inter Cos: 0.000867571565322578
Norm Quadratic Average: 7.020132670731982e-07
Nearest Class Center Accuracy: 0.5085

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7328119277954102
Linear Weight Rank: 180
Intra Cos: 0.050121162086725235
Inter Cos: 0.03129831328988075
Norm Quadratic Average: 2.4703608048071146e-08
Nearest Class Center Accuracy: 0.478

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7323237061500549
Linear Weight Rank: 179
Intra Cos: 0.9418132901191711
Inter Cos: 0.9421426057815552
Norm Quadratic Average: 5.162296368155239e-09
Nearest Class Center Accuracy: 0.2695

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.11042366921901703
Linear Weight Rank: 4
Intra Cos: 0.9932672381401062
Inter Cos: 0.9939039945602417
Norm Quadratic Average: 5.4340554278553554e-09
Nearest Class Center Accuracy: 0.228

Output Layer:
Intra Cos: 1.0000001192092896
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 6.757064596740747e-08
Nearest Class Center Accuracy: 0.227

