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_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.050904273986816
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: 8.06484317779541
Linear Weight Rank: 179
Intra Cos: 0.023647183552384377
Inter Cos: -0.002572049153968692
Norm Quadratic Average: 4.786348342895508
Nearest Class Center Accuracy: 0.568375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.084030151367188
Linear Weight Rank: 179
Intra Cos: 0.017243115231394768
Inter Cos: -0.0005622144090011716
Norm Quadratic Average: 1.672189712524414
Nearest Class Center Accuracy: 0.53675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.026091575622559
Linear Weight Rank: 179
Intra Cos: 0.014289255253970623
Inter Cos: 0.002559704938903451
Norm Quadratic Average: 0.6109176278114319
Nearest Class Center Accuracy: 0.495375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035270690917969
Linear Weight Rank: 180
Intra Cos: 0.016566067934036255
Inter Cos: 0.006501322146505117
Norm Quadratic Average: 0.23281385004520416
Nearest Class Center Accuracy: 0.488625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.056746482849121
Linear Weight Rank: 179
Intra Cos: 0.015461921691894531
Inter Cos: 0.0050715114921331406
Norm Quadratic Average: 0.09312314540147781
Nearest Class Center Accuracy: 0.474

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035928726196289
Linear Weight Rank: 180
Intra Cos: 0.016649946570396423
Inter Cos: 0.006985052488744259
Norm Quadratic Average: 0.03519991412758827
Nearest Class Center Accuracy: 0.454125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.030401229858398
Linear Weight Rank: 179
Intra Cos: 0.01579483412206173
Inter Cos: 0.009956378489732742
Norm Quadratic Average: 0.014813327230513096
Nearest Class Center Accuracy: 0.43675

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1826153993606567
Linear Weight Rank: 4
Intra Cos: 0.016078706830739975
Inter Cos: 0.01143423281610012
Norm Quadratic Average: 0.006190942600369453
Nearest Class Center Accuracy: 0.432375

Output Layer:
Intra Cos: 0.030407803133130074
Inter Cos: 0.028188100084662437
Norm Quadratic Average: 0.0007121965754777193
Nearest Class Center Accuracy: 0.408

Test Set:
Average Loss: 1.3866848640441896
Accuracy: 0.255
NC1 Within Class Collapse: 40.68708038330078
NC2 Equinorm: Features: 0.3818635642528534, Weights: 0.024217594414949417
NC2 Equiangle: Features: 0.2405467430750529, Weights: 0.3445485432942708
NC3 Self-Duality: 1.5808815956115723
NC4 NCC Mismatch: 0.646

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.050904273986816
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: 8.06484317779541
Linear Weight Rank: 179
Intra Cos: 0.023379111662507057
Inter Cos: -0.0016090900171548128
Norm Quadratic Average: 4.799299716949463
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.084030151367188
Linear Weight Rank: 179
Intra Cos: 0.01652461476624012
Inter Cos: 6.571916310349479e-05
Norm Quadratic Average: 1.6729645729064941
Nearest Class Center Accuracy: 0.547

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.026091575622559
Linear Weight Rank: 179
Intra Cos: 0.012621298432350159
Inter Cos: 0.0035502989776432514
Norm Quadratic Average: 0.6106896996498108
Nearest Class Center Accuracy: 0.5125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035270690917969
Linear Weight Rank: 180
Intra Cos: 0.013102510012686253
Inter Cos: 0.007561206817626953
Norm Quadratic Average: 0.23255205154418945
Nearest Class Center Accuracy: 0.498

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.056746482849121
Linear Weight Rank: 179
Intra Cos: 0.012185748666524887
Inter Cos: 0.006483225617557764
Norm Quadratic Average: 0.09303513169288635
Nearest Class Center Accuracy: 0.489

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035928726196289
Linear Weight Rank: 180
Intra Cos: 0.013149600476026535
Inter Cos: 0.009528695605695248
Norm Quadratic Average: 0.03514178842306137
Nearest Class Center Accuracy: 0.4695

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.030401229858398
Linear Weight Rank: 179
Intra Cos: 0.01277886237949133
Inter Cos: 0.011141082271933556
Norm Quadratic Average: 0.014798561111092567
Nearest Class Center Accuracy: 0.457

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1826153993606567
Linear Weight Rank: 4
Intra Cos: 0.012269055470824242
Inter Cos: 0.012118334881961346
Norm Quadratic Average: 0.006190858781337738
Nearest Class Center Accuracy: 0.461

Output Layer:
Intra Cos: 0.022266684100031853
Inter Cos: 0.027096904814243317
Norm Quadratic Average: 0.0007115101907402277
Nearest Class Center Accuracy: 0.4065

