Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.150766849517822
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.153975486755371
Linear Weight Rank: 179
Intra Cos: 0.06722494214773178
Inter Cos: 0.004889503121376038
Norm Quadratic Average: 12.268218994140625
Nearest Class Center Accuracy: 0.867125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.115550518035889
Linear Weight Rank: 179
Intra Cos: 0.10646314173936844
Inter Cos: 0.001611528918147087
Norm Quadratic Average: 12.24744701385498
Nearest Class Center Accuracy: 0.921125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0774245262146
Linear Weight Rank: 179
Intra Cos: 0.13705581426620483
Inter Cos: -0.0014052484184503555
Norm Quadratic Average: 12.220535278320312
Nearest Class Center Accuracy: 0.962375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.085082530975342
Linear Weight Rank: 179
Intra Cos: 0.20253048837184906
Inter Cos: -0.009764145128428936
Norm Quadratic Average: 12.171100616455078
Nearest Class Center Accuracy: 0.998

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2812037467956543
Linear Weight Rank: 4
Intra Cos: 0.4135296940803528
Inter Cos: -0.05464303866028786
Norm Quadratic Average: 12.292052268981934
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9241457581520081
Inter Cos: -0.09575334936380386
Norm Quadratic Average: 10.582816123962402
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2578631000518799
Accuracy: 0.9015
NC1 Within Class Collapse: 1.2903391122817993
NC2 Equinorm: Features: 0.028843333944678307, Weights: 0.019620180130004883
NC2 Equiangle: Features: 0.2817798852920532, Weights: 0.11535471677780151
NC3 Self-Duality: 0.194277822971344
NC4 NCC Mismatch: 0.02200000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.150766849517822
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033128932118415833
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.153975486755371
Linear Weight Rank: 179
Intra Cos: 0.06564263999462128
Inter Cos: 0.0023047788999974728
Norm Quadratic Average: 12.252617835998535
Nearest Class Center Accuracy: 0.8715

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.115550518035889
Linear Weight Rank: 179
Intra Cos: 0.1011878252029419
Inter Cos: 0.004096037708222866
Norm Quadratic Average: 12.227466583251953
Nearest Class Center Accuracy: 0.901

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0774245262146
Linear Weight Rank: 179
Intra Cos: 0.12195628881454468
Inter Cos: 0.00635190587490797
Norm Quadratic Average: 12.2437744140625
Nearest Class Center Accuracy: 0.8905

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.085082530975342
Linear Weight Rank: 179
Intra Cos: 0.16751332581043243
Inter Cos: -0.005097218323498964
Norm Quadratic Average: 12.177127838134766
Nearest Class Center Accuracy: 0.9045

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2812037467956543
Linear Weight Rank: 4
Intra Cos: 0.31537845730781555
Inter Cos: -0.0253664068877697
Norm Quadratic Average: 12.108142852783203
Nearest Class Center Accuracy: 0.908

Output Layer:
Intra Cos: 0.7374529242515564
Inter Cos: -0.03969297558069229
Norm Quadratic Average: 10.192704200744629
Nearest Class Center Accuracy: 0.9075

