Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.116642951965332
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.052688598632812
Linear Weight Rank: 179
Intra Cos: 0.02799701876938343
Inter Cos: -0.005221785511821508
Norm Quadratic Average: 4.887823581695557
Nearest Class Center Accuracy: 0.591375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.047029495239258
Linear Weight Rank: 179
Intra Cos: 0.07539553940296173
Inter Cos: -0.018290670588612556
Norm Quadratic Average: 2.3898651599884033
Nearest Class Center Accuracy: 0.667125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.10096263885498
Linear Weight Rank: 179
Intra Cos: 0.1723278909921646
Inter Cos: -0.032341666519641876
Norm Quadratic Average: 1.8062772750854492
Nearest Class Center Accuracy: 0.706

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.078790664672852
Linear Weight Rank: 179
Intra Cos: 0.24541977047920227
Inter Cos: -0.03571861982345581
Norm Quadratic Average: 2.018134355545044
Nearest Class Center Accuracy: 0.71825

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.5401837825775146
Linear Weight Rank: 4
Intra Cos: 0.2718909680843353
Inter Cos: -0.02953653782606125
Norm Quadratic Average: 2.5867919921875
Nearest Class Center Accuracy: 0.717875

Output Layer:
Intra Cos: 0.2841133773326874
Inter Cos: -0.007971554063260555
Norm Quadratic Average: 3.5251147747039795
Nearest Class Center Accuracy: 0.698625

Test Set:
Average Loss: 0.7202418460845947
Accuracy: 0.6965
NC1 Within Class Collapse: 6.2629475593566895
NC2 Equinorm: Features: 0.16811494529247284, Weights: 0.08061746507883072
NC2 Equiangle: Features: 0.253620187441508, Weights: 0.11265955368677776
NC3 Self-Duality: 0.17058268189430237
NC4 NCC Mismatch: 0.08399999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.116642951965332
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.052688598632812
Linear Weight Rank: 179
Intra Cos: 0.026139724999666214
Inter Cos: -0.004144555889070034
Norm Quadratic Average: 4.8772358894348145
Nearest Class Center Accuracy: 0.601

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.047029495239258
Linear Weight Rank: 179
Intra Cos: 0.06795340031385422
Inter Cos: -0.016140799969434738
Norm Quadratic Average: 2.3758580684661865
Nearest Class Center Accuracy: 0.6455

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.10096263885498
Linear Weight Rank: 179
Intra Cos: 0.14863108098506927
Inter Cos: -0.029521701857447624
Norm Quadratic Average: 1.791275143623352
Nearest Class Center Accuracy: 0.6745

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.078790664672852
Linear Weight Rank: 179
Intra Cos: 0.21011991798877716
Inter Cos: -0.029745323583483696
Norm Quadratic Average: 1.9997899532318115
Nearest Class Center Accuracy: 0.6935

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.5401837825775146
Linear Weight Rank: 4
Intra Cos: 0.2366342395544052
Inter Cos: -0.012266730889678001
Norm Quadratic Average: 2.562925338745117
Nearest Class Center Accuracy: 0.6915

Output Layer:
Intra Cos: 0.2527048587799072
Inter Cos: 0.011943004094064236
Norm Quadratic Average: 3.493655204772949
Nearest Class Center Accuracy: 0.673

