Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_979323_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0380125045776367
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 2.274357557296753
Linear Weight Rank: 179
Intra Cos: 0.10667375475168228
Inter Cos: 0.00516103208065033
Norm Quadratic Average: 3.3521933555603027
Nearest Class Center Accuracy: 0.908125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.165592670440674
Linear Weight Rank: 179
Intra Cos: 0.15756918489933014
Inter Cos: 0.0012896237894892693
Norm Quadratic Average: 3.316746950149536
Nearest Class Center Accuracy: 0.972375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0887506008148193
Linear Weight Rank: 179
Intra Cos: 0.1932007223367691
Inter Cos: -0.004175237379968166
Norm Quadratic Average: 3.304189443588257
Nearest Class Center Accuracy: 0.99075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0082831382751465
Linear Weight Rank: 179
Intra Cos: 0.25463977456092834
Inter Cos: -0.018108364194631577
Norm Quadratic Average: 3.294567584991455
Nearest Class Center Accuracy: 0.9985

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9645975828170776
Linear Weight Rank: 179
Intra Cos: 0.38422855734825134
Inter Cos: -0.02327175997197628
Norm Quadratic Average: 3.2805588245391846
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9481165409088135
Linear Weight Rank: 179
Intra Cos: 0.6002991795539856
Inter Cos: -0.07986968755722046
Norm Quadratic Average: 3.271580934524536
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.936220645904541
Linear Weight Rank: 179
Intra Cos: 0.8487406373023987
Inter Cos: -0.16584911942481995
Norm Quadratic Average: 3.29109525680542
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.842850923538208
Linear Weight Rank: 4
Intra Cos: 0.9730554223060608
Inter Cos: -0.27580565214157104
Norm Quadratic Average: 3.7893385887145996
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9983155131340027
Inter Cos: -0.26851654052734375
Norm Quadratic Average: 3.946838140487671
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.20554428100585936
Accuracy: 0.929
NC1 Within Class Collapse: 0.4763204753398895
NC2 Equinorm: Features: 0.014100530184805393, Weights: 0.01510185468941927
NC2 Equiangle: Features: 0.10124756892522176, Weights: 0.03232469658056895
NC3 Self-Duality: 0.026896759867668152
NC4 NCC Mismatch: 0.0034999999999999476

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0380125045776367
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.274357557296753
Linear Weight Rank: 179
Intra Cos: 0.10606105625629425
Inter Cos: 0.004336702637374401
Norm Quadratic Average: 3.3485898971557617
Nearest Class Center Accuracy: 0.9135

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.165592670440674
Linear Weight Rank: 179
Intra Cos: 0.1472180038690567
Inter Cos: 0.0012447929475456476
Norm Quadratic Average: 3.317577362060547
Nearest Class Center Accuracy: 0.9485

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0887506008148193
Linear Weight Rank: 179
Intra Cos: 0.17185372114181519
Inter Cos: -0.007776168175041676
Norm Quadratic Average: 3.296478033065796
Nearest Class Center Accuracy: 0.9445

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0082831382751465
Linear Weight Rank: 179
Intra Cos: 0.23091864585876465
Inter Cos: -0.010582161135971546
Norm Quadratic Average: 3.2679874897003174
Nearest Class Center Accuracy: 0.9445

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9645975828170776
Linear Weight Rank: 179
Intra Cos: 0.309599369764328
Inter Cos: -0.0057525658048689365
Norm Quadratic Average: 3.2181146144866943
Nearest Class Center Accuracy: 0.9385

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9481165409088135
Linear Weight Rank: 179
Intra Cos: 0.4652169346809387
Inter Cos: -0.03717772662639618
Norm Quadratic Average: 3.1619107723236084
Nearest Class Center Accuracy: 0.934

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.936220645904541
Linear Weight Rank: 179
Intra Cos: 0.6721599698066711
Inter Cos: -0.10487325489521027
Norm Quadratic Average: 3.1286914348602295
Nearest Class Center Accuracy: 0.93

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.842850923538208
Linear Weight Rank: 4
Intra Cos: 0.7938573956489563
Inter Cos: -0.17094938457012177
Norm Quadratic Average: 3.551990032196045
Nearest Class Center Accuracy: 0.9275

Output Layer:
Intra Cos: 0.8341928124427795
Inter Cos: -0.16669276356697083
Norm Quadratic Average: 3.6785337924957275
Nearest Class Center Accuracy: 0.9275

