Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.771240234375
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.780490875244141
Linear Weight Rank: 179
Intra Cos: 0.1397443413734436
Inter Cos: 0.007228683680295944
Norm Quadratic Average: 4.205344200134277
Nearest Class Center Accuracy: 0.93375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.781912326812744
Linear Weight Rank: 179
Intra Cos: 0.5166912078857422
Inter Cos: 0.03882647678256035
Norm Quadratic Average: 3.2887425422668457
Nearest Class Center Accuracy: 0.93875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.829034805297852
Linear Weight Rank: 179
Intra Cos: 0.6511861085891724
Inter Cos: 0.08080780506134033
Norm Quadratic Average: 4.597331523895264
Nearest Class Center Accuracy: 0.930875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.819529056549072
Linear Weight Rank: 179
Intra Cos: 0.6799681186676025
Inter Cos: 0.10395056754350662
Norm Quadratic Average: 6.663412570953369
Nearest Class Center Accuracy: 0.93475

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.815030574798584
Linear Weight Rank: 4
Intra Cos: 0.6832030415534973
Inter Cos: 0.09947124868631363
Norm Quadratic Average: 9.516755104064941
Nearest Class Center Accuracy: 0.94625

Output Layer:
Intra Cos: 0.7681065201759338
Inter Cos: 0.08598906546831131
Norm Quadratic Average: 16.868623733520508
Nearest Class Center Accuracy: 0.958125

Test Set:
Average Loss: 0.06630547094345093
Accuracy: 0.979
NC1 Within Class Collapse: 1.6372947692871094
NC2 Equinorm: Features: 0.041334472596645355, Weights: 0.06934434175491333
NC2 Equiangle: Features: 0.4313928286234538, Weights: 0.38623762130737305
NC3 Self-Duality: 0.11706862598657608
NC4 NCC Mismatch: 0.05349999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.771240234375
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.780490875244141
Linear Weight Rank: 179
Intra Cos: 0.13763710856437683
Inter Cos: 0.005451790057122707
Norm Quadratic Average: 4.2028093338012695
Nearest Class Center Accuracy: 0.9395

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.781912326812744
Linear Weight Rank: 179
Intra Cos: 0.503638505935669
Inter Cos: 0.032030753791332245
Norm Quadratic Average: 3.3047845363616943
Nearest Class Center Accuracy: 0.9325

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.829034805297852
Linear Weight Rank: 179
Intra Cos: 0.6296789050102234
Inter Cos: 0.07724064588546753
Norm Quadratic Average: 4.622202396392822
Nearest Class Center Accuracy: 0.925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.819529056549072
Linear Weight Rank: 179
Intra Cos: 0.6550155878067017
Inter Cos: 0.09952079504728317
Norm Quadratic Average: 6.6998515129089355
Nearest Class Center Accuracy: 0.927

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.815030574798584
Linear Weight Rank: 4
Intra Cos: 0.6577433943748474
Inter Cos: 0.09384502470493317
Norm Quadratic Average: 9.55478286743164
Nearest Class Center Accuracy: 0.9385

Output Layer:
Intra Cos: 0.7354438900947571
Inter Cos: 0.08626877516508102
Norm Quadratic Average: 16.896841049194336
Nearest Class Center Accuracy: 0.9485

