Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.316990852355957
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: 5.396909713745117
Linear Weight Rank: 178
Intra Cos: 0.15996938943862915
Inter Cos: 0.01039634458720684
Norm Quadratic Average: 3.3336832523345947
Nearest Class Center Accuracy: 0.944125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.418207168579102
Linear Weight Rank: 178
Intra Cos: 0.5650460124015808
Inter Cos: 0.06083161383867264
Norm Quadratic Average: 2.453350782394409
Nearest Class Center Accuracy: 0.932375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.404908657073975
Linear Weight Rank: 179
Intra Cos: 0.6540036797523499
Inter Cos: 0.11343629658222198
Norm Quadratic Average: 3.2241272926330566
Nearest Class Center Accuracy: 0.92225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.442529678344727
Linear Weight Rank: 179
Intra Cos: 0.6660282015800476
Inter Cos: 0.14252695441246033
Norm Quadratic Average: 4.462950706481934
Nearest Class Center Accuracy: 0.921

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6184351444244385
Linear Weight Rank: 4
Intra Cos: 0.6726030707359314
Inter Cos: 0.1419544219970703
Norm Quadratic Average: 6.18154239654541
Nearest Class Center Accuracy: 0.927

Output Layer:
Intra Cos: 0.7049534320831299
Inter Cos: 0.08645305037498474
Norm Quadratic Average: 10.446406364440918
Nearest Class Center Accuracy: 0.933375

Test Set:
Average Loss: 0.1068258728981018
Accuracy: 0.975
NC1 Within Class Collapse: 1.5108368396759033
NC2 Equinorm: Features: 0.08791251480579376, Weights: 0.11965995281934738
NC2 Equiangle: Features: 0.43465455373128253, Weights: 0.39158304532368976
NC3 Self-Duality: 0.12691625952720642
NC4 NCC Mismatch: 0.07599999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.316990852355957
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: 5.396909713745117
Linear Weight Rank: 178
Intra Cos: 0.16023248434066772
Inter Cos: 0.010344506241381168
Norm Quadratic Average: 3.3388173580169678
Nearest Class Center Accuracy: 0.9345

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.418207168579102
Linear Weight Rank: 178
Intra Cos: 0.5727983117103577
Inter Cos: 0.08339906483888626
Norm Quadratic Average: 2.4846904277801514
Nearest Class Center Accuracy: 0.9305

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.404908657073975
Linear Weight Rank: 179
Intra Cos: 0.6620917320251465
Inter Cos: 0.13921886682510376
Norm Quadratic Average: 3.2665598392486572
Nearest Class Center Accuracy: 0.917

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.442529678344727
Linear Weight Rank: 179
Intra Cos: 0.6746641397476196
Inter Cos: 0.168706014752388
Norm Quadratic Average: 4.5189104080200195
Nearest Class Center Accuracy: 0.916

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6184351444244385
Linear Weight Rank: 4
Intra Cos: 0.6632393002510071
Inter Cos: 0.16741414368152618
Norm Quadratic Average: 6.250658988952637
Nearest Class Center Accuracy: 0.9225

Output Layer:
Intra Cos: 0.7033257484436035
Inter Cos: 0.11807996034622192
Norm Quadratic Average: 10.499690055847168
Nearest Class Center Accuracy: 0.9325

