Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.166214942932129
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 8.179615020751953
Linear Weight Rank: 180
Intra Cos: 0.12247300148010254
Inter Cos: 0.003016143571585417
Norm Quadratic Average: 4.932845592498779
Nearest Class Center Accuracy: 0.925625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.161288261413574
Linear Weight Rank: 179
Intra Cos: 0.47481733560562134
Inter Cos: 0.023843619972467422
Norm Quadratic Average: 3.882918119430542
Nearest Class Center Accuracy: 0.975625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.16032600402832
Linear Weight Rank: 179
Intra Cos: 0.6747832298278809
Inter Cos: 0.0413677841424942
Norm Quadratic Average: 5.412291526794434
Nearest Class Center Accuracy: 0.9815

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.197041511535645
Linear Weight Rank: 179
Intra Cos: 0.7284137606620789
Inter Cos: 0.03920528665184975
Norm Quadratic Average: 8.19782543182373
Nearest Class Center Accuracy: 0.98625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9365453720092773
Linear Weight Rank: 4
Intra Cos: 0.741671621799469
Inter Cos: 0.052704405039548874
Norm Quadratic Average: 12.040401458740234
Nearest Class Center Accuracy: 0.98675

Output Layer:
Intra Cos: 0.8342024087905884
Inter Cos: 0.0838957279920578
Norm Quadratic Average: 22.102115631103516
Nearest Class Center Accuracy: 0.986625

Test Set:
Average Loss: 0.0632309741973877
Accuracy: 0.973
NC1 Within Class Collapse: 1.2993451356887817
NC2 Equinorm: Features: 0.046651147305965424, Weights: 0.03887728229165077
NC2 Equiangle: Features: 0.4298412005106608, Weights: 0.36018462975819904
NC3 Self-Duality: 0.11602495610713959
NC4 NCC Mismatch: 0.02300000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.166214942932129
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 8.179615020751953
Linear Weight Rank: 180
Intra Cos: 0.12552392482757568
Inter Cos: 0.008660171180963516
Norm Quadratic Average: 4.931431770324707
Nearest Class Center Accuracy: 0.9335

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.161288261413574
Linear Weight Rank: 179
Intra Cos: 0.48620620369911194
Inter Cos: 0.04261602833867073
Norm Quadratic Average: 3.917069673538208
Nearest Class Center Accuracy: 0.961

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.16032600402832
Linear Weight Rank: 179
Intra Cos: 0.6816319823265076
Inter Cos: 0.0647200345993042
Norm Quadratic Average: 5.470567226409912
Nearest Class Center Accuracy: 0.964

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.197041511535645
Linear Weight Rank: 179
Intra Cos: 0.7219268083572388
Inter Cos: 0.060146186500787735
Norm Quadratic Average: 8.27699089050293
Nearest Class Center Accuracy: 0.965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9365453720092773
Linear Weight Rank: 4
Intra Cos: 0.7279619574546814
Inter Cos: 0.07246726006269455
Norm Quadratic Average: 12.144709587097168
Nearest Class Center Accuracy: 0.9665

Output Layer:
Intra Cos: 0.8216397762298584
Inter Cos: 0.10624101012945175
Norm Quadratic Average: 22.25279998779297
Nearest Class Center Accuracy: 0.968

