Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.327842712402344
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: 6.375674247741699
Linear Weight Rank: 179
Intra Cos: 0.08109007030725479
Inter Cos: 0.006869352888315916
Norm Quadratic Average: 10.973714828491211
Nearest Class Center Accuracy: 0.873125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.368734359741211
Linear Weight Rank: 179
Intra Cos: 0.11790670454502106
Inter Cos: 0.008702129125595093
Norm Quadratic Average: 10.934194564819336
Nearest Class Center Accuracy: 0.913625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.309869289398193
Linear Weight Rank: 180
Intra Cos: 0.14743106067180634
Inter Cos: 0.0014295559376478195
Norm Quadratic Average: 10.899712562561035
Nearest Class Center Accuracy: 0.961875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.309961795806885
Linear Weight Rank: 179
Intra Cos: 0.22463856637477875
Inter Cos: -0.013179623521864414
Norm Quadratic Average: 10.873152732849121
Nearest Class Center Accuracy: 0.9985

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.182893991470337
Linear Weight Rank: 4
Intra Cos: 0.4389210045337677
Inter Cos: -0.06660749018192291
Norm Quadratic Average: 11.036375045776367
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9393222332000732
Inter Cos: -0.1078953668475151
Norm Quadratic Average: 9.316040992736816
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2645017766952515
Accuracy: 0.8985
NC1 Within Class Collapse: 1.1830086708068848
NC2 Equinorm: Features: 0.01567063480615616, Weights: 0.025541290640830994
NC2 Equiangle: Features: 0.27306703726450604, Weights: 0.08979709943135579
NC3 Self-Duality: 0.19483785331249237
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.327842712402344
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: 6.375674247741699
Linear Weight Rank: 179
Intra Cos: 0.08164801448583603
Inter Cos: 0.007720774970948696
Norm Quadratic Average: 10.963459968566895
Nearest Class Center Accuracy: 0.877

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.368734359741211
Linear Weight Rank: 179
Intra Cos: 0.11309069395065308
Inter Cos: 0.003232695395126939
Norm Quadratic Average: 10.967056274414062
Nearest Class Center Accuracy: 0.896

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.309869289398193
Linear Weight Rank: 180
Intra Cos: 0.1357707977294922
Inter Cos: 0.008968932554125786
Norm Quadratic Average: 10.933566093444824
Nearest Class Center Accuracy: 0.9

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.309961795806885
Linear Weight Rank: 179
Intra Cos: 0.19116361439228058
Inter Cos: -0.011536380276083946
Norm Quadratic Average: 10.847108840942383
Nearest Class Center Accuracy: 0.91

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.182893991470337
Linear Weight Rank: 4
Intra Cos: 0.3308344781398773
Inter Cos: -0.039693765342235565
Norm Quadratic Average: 10.858994483947754
Nearest Class Center Accuracy: 0.903

Output Layer:
Intra Cos: 0.7474597692489624
Inter Cos: -0.04519057273864746
Norm Quadratic Average: 8.951196670532227
Nearest Class Center Accuracy: 0.899

