Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.07.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.21919752657413483
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
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: 0.2195787876844406
Linear Weight Rank: 179
Intra Cos: 0.06352515518665314
Inter Cos: 0.007498233113437891
Norm Quadratic Average: 0.13060718774795532
Nearest Class Center Accuracy: 0.822625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.22010166943073273
Linear Weight Rank: 179
Intra Cos: 0.05293161794543266
Inter Cos: 0.006488302256911993
Norm Quadratic Average: 0.0013416508445516229
Nearest Class Center Accuracy: 0.703625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21853068470954895
Linear Weight Rank: 179
Intra Cos: 0.04466572776436806
Inter Cos: 0.002199355512857437
Norm Quadratic Average: 1.4611551705456804e-05
Nearest Class Center Accuracy: 0.65725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21878163516521454
Linear Weight Rank: 180
Intra Cos: 0.042945973575115204
Inter Cos: 0.003424903377890587
Norm Quadratic Average: 1.5705482780958846e-07
Nearest Class Center Accuracy: 0.59675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.03182553872466087
Linear Weight Rank: 4
Intra Cos: 0.9268730282783508
Inter Cos: 0.9259918928146362
Norm Quadratic Average: 6.345120873163523e-09
Nearest Class Center Accuracy: 0.40575

Output Layer:
Intra Cos: 1.0
Inter Cos: 1.000000238418579
Norm Quadratic Average: 6.200118463084436e-08
Nearest Class Center Accuracy: 0.26375

Test Set:
Average Loss: 1.3868465499877929
Accuracy: 0.257
NC1 Within Class Collapse: 2.1717162132263184
NC2 Equinorm: Features: 0.04104773327708244, Weights: 0.033668771386146545
NC2 Equiangle: Features: 0.3123572866121928, Weights: 0.32202468315760296
NC3 Self-Duality: 2.3016672134399414
NC4 NCC Mismatch: 0.7415

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.21919752657413483
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 0.2195787876844406
Linear Weight Rank: 179
Intra Cos: 0.06328341364860535
Inter Cos: 0.009258470498025417
Norm Quadratic Average: 0.1304299235343933
Nearest Class Center Accuracy: 0.8245

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.22010166943073273
Linear Weight Rank: 179
Intra Cos: 0.05422426015138626
Inter Cos: 0.00788545235991478
Norm Quadratic Average: 0.001342420349828899
Nearest Class Center Accuracy: 0.71

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21853068470954895
Linear Weight Rank: 179
Intra Cos: 0.04257092624902725
Inter Cos: 0.005137417931109667
Norm Quadratic Average: 1.4601313523598947e-05
Nearest Class Center Accuracy: 0.6525

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21878163516521454
Linear Weight Rank: 180
Intra Cos: 0.040053099393844604
Inter Cos: 0.006971028633415699
Norm Quadratic Average: 1.5674976339141722e-07
Nearest Class Center Accuracy: 0.589

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.03182553872466087
Linear Weight Rank: 4
Intra Cos: 0.5224986672401428
Inter Cos: 0.5228654742240906
Norm Quadratic Average: 2.4626689576479066e-09
Nearest Class Center Accuracy: 0.4445

Output Layer:
Intra Cos: 0.9999998211860657
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 6.244724204407248e-08
Nearest Class Center Accuracy: 0.24

