Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.008549690246582
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: 8.193380355834961
Linear Weight Rank: 179
Intra Cos: 0.026001907885074615
Inter Cos: -0.0028145848773419857
Norm Quadratic Average: 13.850552558898926
Nearest Class Center Accuracy: 0.587375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145877838134766
Linear Weight Rank: 179
Intra Cos: 0.02630234695971012
Inter Cos: -0.0011338107287883759
Norm Quadratic Average: 13.828001022338867
Nearest Class Center Accuracy: 0.627125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046098709106445
Linear Weight Rank: 179
Intra Cos: 0.03051895648241043
Inter Cos: -0.0032674099784344435
Norm Quadratic Average: 13.7766752243042
Nearest Class Center Accuracy: 0.68425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.019532203674316
Linear Weight Rank: 180
Intra Cos: 0.039328593760728836
Inter Cos: -0.00678941048681736
Norm Quadratic Average: 13.753849983215332
Nearest Class Center Accuracy: 0.768

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.013324737548828
Linear Weight Rank: 180
Intra Cos: 0.051683105528354645
Inter Cos: -0.011084298603236675
Norm Quadratic Average: 13.7315034866333
Nearest Class Center Accuracy: 0.87825

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97467565536499
Linear Weight Rank: 180
Intra Cos: 0.08829351514577866
Inter Cos: -0.018505718559026718
Norm Quadratic Average: 13.702905654907227
Nearest Class Center Accuracy: 0.97425

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.959904193878174
Linear Weight Rank: 180
Intra Cos: 0.17574642598628998
Inter Cos: -0.042976900935173035
Norm Quadratic Average: 13.701854705810547
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.321970224380493
Linear Weight Rank: 4
Intra Cos: 0.3677896559238434
Inter Cos: -0.11033698171377182
Norm Quadratic Average: 13.920714378356934
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9145405292510986
Inter Cos: -0.2259054183959961
Norm Quadratic Average: 11.235018730163574
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3222494926452637
Accuracy: 0.703
NC1 Within Class Collapse: 3.879441261291504
NC2 Equinorm: Features: 0.04630933329463005, Weights: 0.03274083510041237
NC2 Equiangle: Features: 0.0697875867287318, Weights: 0.08749399582544963
NC3 Self-Duality: 0.196675106883049
NC4 NCC Mismatch: 0.040000000000000036

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.008549690246582
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: 8.193380355834961
Linear Weight Rank: 179
Intra Cos: 0.02435159869492054
Inter Cos: -0.0020794831216335297
Norm Quadratic Average: 13.911643981933594
Nearest Class Center Accuracy: 0.5755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145877838134766
Linear Weight Rank: 179
Intra Cos: 0.02305472642183304
Inter Cos: -0.00026947964215651155
Norm Quadratic Average: 13.860404014587402
Nearest Class Center Accuracy: 0.6175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046098709106445
Linear Weight Rank: 179
Intra Cos: 0.025300107896327972
Inter Cos: -0.0023153407964855433
Norm Quadratic Average: 13.751843452453613
Nearest Class Center Accuracy: 0.657

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.019532203674316
Linear Weight Rank: 180
Intra Cos: 0.02822255715727806
Inter Cos: -0.004551844205707312
Norm Quadratic Average: 13.65330982208252
Nearest Class Center Accuracy: 0.666

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.013324737548828
Linear Weight Rank: 180
Intra Cos: 0.02876342460513115
Inter Cos: -0.005799822974950075
Norm Quadratic Average: 13.52416706085205
Nearest Class Center Accuracy: 0.69

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97467565536499
Linear Weight Rank: 180
Intra Cos: 0.039549119770526886
Inter Cos: -0.005787677597254515
Norm Quadratic Average: 13.36667251586914
Nearest Class Center Accuracy: 0.692

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.959904193878174
Linear Weight Rank: 180
Intra Cos: 0.06420019268989563
Inter Cos: -0.013226362876594067
Norm Quadratic Average: 13.107885360717773
Nearest Class Center Accuracy: 0.7135

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.321970224380493
Linear Weight Rank: 4
Intra Cos: 0.11843281239271164
Inter Cos: -0.03139733895659447
Norm Quadratic Average: 12.822169303894043
Nearest Class Center Accuracy: 0.712

Output Layer:
Intra Cos: 0.36368367075920105
Inter Cos: -0.08218423277139664
Norm Quadratic Average: 9.450187683105469
Nearest Class Center Accuracy: 0.707

