Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.916872978210449
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8402557373046875
Linear Weight Rank: 179
Intra Cos: 0.012039248831570148
Inter Cos: 0.003170241601765156
Norm Quadratic Average: 3.4638381004333496
Nearest Class Center Accuracy: 0.45

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826826095581055
Linear Weight Rank: 179
Intra Cos: 0.00968344695866108
Inter Cos: 0.003460570704191923
Norm Quadratic Average: 0.939732551574707
Nearest Class Center Accuracy: 0.4265

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.844861030578613
Linear Weight Rank: 180
Intra Cos: 0.00914025865495205
Inter Cos: 0.0052264113910496235
Norm Quadratic Average: 0.2549252510070801
Nearest Class Center Accuracy: 0.417625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.824621677398682
Linear Weight Rank: 180
Intra Cos: 0.009878379292786121
Inter Cos: 0.003744862275198102
Norm Quadratic Average: 0.07021781802177429
Nearest Class Center Accuracy: 0.414875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.840216636657715
Linear Weight Rank: 180
Intra Cos: 0.009901138953864574
Inter Cos: 0.0028993284795433283
Norm Quadratic Average: 0.020903117954730988
Nearest Class Center Accuracy: 0.396625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.825345039367676
Linear Weight Rank: 180
Intra Cos: 0.009874260984361172
Inter Cos: 0.0018501430749893188
Norm Quadratic Average: 0.006006262730807066
Nearest Class Center Accuracy: 0.388

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.82473087310791
Linear Weight Rank: 180
Intra Cos: 0.009553605690598488
Inter Cos: 0.0018525314517319202
Norm Quadratic Average: 0.0016231461195275187
Nearest Class Center Accuracy: 0.380875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8297455906867981
Linear Weight Rank: 4
Intra Cos: 0.00890851579606533
Inter Cos: 0.0023928717710077763
Norm Quadratic Average: 0.0004902846994809806
Nearest Class Center Accuracy: 0.37325

Output Layer:
Intra Cos: 0.006019353400915861
Inter Cos: 0.009892252273857594
Norm Quadratic Average: 2.4732555175432935e-05
Nearest Class Center Accuracy: 0.324

Test Set:
Average Loss: 1.3837073020935058
Accuracy: 0.2695
NC1 Within Class Collapse: 62.959129333496094
NC2 Equinorm: Features: 0.12005683779716492, Weights: 0.054296255111694336
NC2 Equiangle: Features: 0.15905773639678955, Weights: 0.3213735620180766
NC3 Self-Duality: 1.8866276741027832
NC4 NCC Mismatch: 0.8055

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.916872978210449
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8402557373046875
Linear Weight Rank: 179
Intra Cos: 0.013125848956406116
Inter Cos: 0.0036021387204527855
Norm Quadratic Average: 3.4604709148406982
Nearest Class Center Accuracy: 0.464

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826826095581055
Linear Weight Rank: 179
Intra Cos: 0.010454478673636913
Inter Cos: 0.003228450659662485
Norm Quadratic Average: 0.9386220574378967
Nearest Class Center Accuracy: 0.4515

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.844861030578613
Linear Weight Rank: 180
Intra Cos: 0.009519332088530064
Inter Cos: 0.003795250318944454
Norm Quadratic Average: 0.2540237009525299
Nearest Class Center Accuracy: 0.423

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.824621677398682
Linear Weight Rank: 180
Intra Cos: 0.010423409752547741
Inter Cos: 0.003977505024522543
Norm Quadratic Average: 0.0698726624250412
Nearest Class Center Accuracy: 0.4165

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.840216636657715
Linear Weight Rank: 180
Intra Cos: 0.009431114420294762
Inter Cos: 0.003996653947979212
Norm Quadratic Average: 0.020805681124329567
Nearest Class Center Accuracy: 0.4125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.825345039367676
Linear Weight Rank: 180
Intra Cos: 0.008409385569393635
Inter Cos: 0.0021952358074486256
Norm Quadratic Average: 0.005975515581667423
Nearest Class Center Accuracy: 0.3905

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.82473087310791
Linear Weight Rank: 180
Intra Cos: 0.0076528084464371204
Inter Cos: 0.0007157729705795646
Norm Quadratic Average: 0.001617296366021037
Nearest Class Center Accuracy: 0.3825

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8297455906867981
Linear Weight Rank: 4
Intra Cos: 0.007474548649042845
Inter Cos: 0.0003730467869900167
Norm Quadratic Average: 0.0004880247579421848
Nearest Class Center Accuracy: 0.3775

Output Layer:
Intra Cos: 0.0030523978639394045
Inter Cos: 0.009170721285045147
Norm Quadratic Average: 2.4961324015748687e-05
Nearest Class Center Accuracy: 0.301

