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_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.192502975463867
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.10615062713623
Linear Weight Rank: 180
Intra Cos: 0.012244618497788906
Inter Cos: 0.005390985403209925
Norm Quadratic Average: 4.888489723205566
Nearest Class Center Accuracy: 0.450875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098353385925293
Linear Weight Rank: 180
Intra Cos: 0.010768010281026363
Inter Cos: 0.0070820152759552
Norm Quadratic Average: 1.7706938982009888
Nearest Class Center Accuracy: 0.436125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151703834533691
Linear Weight Rank: 179
Intra Cos: 0.009164432063698769
Inter Cos: 0.0066378191113471985
Norm Quadratic Average: 0.6579375267028809
Nearest Class Center Accuracy: 0.415625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114058494567871
Linear Weight Rank: 180
Intra Cos: 0.009290045127272606
Inter Cos: 0.002970487345010042
Norm Quadratic Average: 0.24700483679771423
Nearest Class Center Accuracy: 0.39775

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.119885444641113
Linear Weight Rank: 180
Intra Cos: 0.008316397666931152
Inter Cos: 0.00432165851816535
Norm Quadratic Average: 0.0991269052028656
Nearest Class Center Accuracy: 0.39575

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151689529418945
Linear Weight Rank: 180
Intra Cos: 0.010337667539715767
Inter Cos: 0.0019136940827593207
Norm Quadratic Average: 0.041041336953639984
Nearest Class Center Accuracy: 0.384875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.130979537963867
Linear Weight Rank: 179
Intra Cos: 0.00957434345036745
Inter Cos: 0.00013742715236730874
Norm Quadratic Average: 0.017403651028871536
Nearest Class Center Accuracy: 0.372625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.189904808998108
Linear Weight Rank: 4
Intra Cos: 0.007974483072757721
Inter Cos: 0.0009878044947981834
Norm Quadratic Average: 0.007038712035864592
Nearest Class Center Accuracy: 0.36325

Output Layer:
Intra Cos: 0.005925479810684919
Inter Cos: 0.008830342441797256
Norm Quadratic Average: 0.0007365874480456114
Nearest Class Center Accuracy: 0.342125

Test Set:
Average Loss: 1.3835981826782227
Accuracy: 0.2695
NC1 Within Class Collapse: 56.03853988647461
NC2 Equinorm: Features: 0.2809913754463196, Weights: 0.01988178677856922
NC2 Equiangle: Features: 0.21314809719721475, Weights: 0.29556743303934735
NC3 Self-Duality: 1.6835421323776245
NC4 NCC Mismatch: 0.769

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.192502975463867
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
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: 8.10615062713623
Linear Weight Rank: 180
Intra Cos: 0.011714327149093151
Inter Cos: 0.004927102942019701
Norm Quadratic Average: 4.866324424743652
Nearest Class Center Accuracy: 0.452

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098353385925293
Linear Weight Rank: 180
Intra Cos: 0.009437506087124348
Inter Cos: 0.006900325417518616
Norm Quadratic Average: 1.7583359479904175
Nearest Class Center Accuracy: 0.449

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151703834533691
Linear Weight Rank: 179
Intra Cos: 0.006879896856844425
Inter Cos: 0.007654281333088875
Norm Quadratic Average: 0.6562051773071289
Nearest Class Center Accuracy: 0.421

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114058494567871
Linear Weight Rank: 180
Intra Cos: 0.006505781784653664
Inter Cos: 0.0036977678537368774
Norm Quadratic Average: 0.2457277774810791
Nearest Class Center Accuracy: 0.414

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.119885444641113
Linear Weight Rank: 180
Intra Cos: 0.0062087541446089745
Inter Cos: 0.0052542719058692455
Norm Quadratic Average: 0.09885741770267487
Nearest Class Center Accuracy: 0.411

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151689529418945
Linear Weight Rank: 180
Intra Cos: 0.009115202352404594
Inter Cos: 0.0011935090878978372
Norm Quadratic Average: 0.04096502065658569
Nearest Class Center Accuracy: 0.3945

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.130979537963867
Linear Weight Rank: 179
Intra Cos: 0.011356082744896412
Inter Cos: -0.0006238397909328341
Norm Quadratic Average: 0.017373355105519295
Nearest Class Center Accuracy: 0.3895

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.189904808998108
Linear Weight Rank: 4
Intra Cos: 0.008738699369132519
Inter Cos: 0.0017233059043064713
Norm Quadratic Average: 0.007029896602034569
Nearest Class Center Accuracy: 0.3805

Output Layer:
Intra Cos: 0.008895295672118664
Inter Cos: 0.009642571210861206
Norm Quadratic Average: 0.0007329182117246091
Nearest Class Center Accuracy: 0.3495

