Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.166107177734375
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 8.13393783569336
Linear Weight Rank: 180
Intra Cos: 0.07109326124191284
Inter Cos: 0.002177682239562273
Norm Quadratic Average: 13.827635765075684
Nearest Class Center Accuracy: 0.865375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.081748962402344
Linear Weight Rank: 180
Intra Cos: 0.10837964713573456
Inter Cos: 0.002065545879304409
Norm Quadratic Average: 13.770771980285645
Nearest Class Center Accuracy: 0.925125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.08754825592041
Linear Weight Rank: 180
Intra Cos: 0.12147930264472961
Inter Cos: 0.0010866180527955294
Norm Quadratic Average: 13.739974975585938
Nearest Class Center Accuracy: 0.933625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046793937683105
Linear Weight Rank: 180
Intra Cos: 0.15005970001220703
Inter Cos: -0.0019888775423169136
Norm Quadratic Average: 13.699514389038086
Nearest Class Center Accuracy: 0.97125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060258865356445
Linear Weight Rank: 180
Intra Cos: 0.1891128569841385
Inter Cos: -0.0033714380115270615
Norm Quadratic Average: 13.698982238769531
Nearest Class Center Accuracy: 0.987875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033950805664062
Linear Weight Rank: 179
Intra Cos: 0.23231063783168793
Inter Cos: -0.019630067050457
Norm Quadratic Average: 13.698927879333496
Nearest Class Center Accuracy: 0.998125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.030196189880371
Linear Weight Rank: 180
Intra Cos: 0.32168325781822205
Inter Cos: -0.032081395387649536
Norm Quadratic Average: 13.758561134338379
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0796549320220947
Linear Weight Rank: 4
Intra Cos: 0.47770172357559204
Inter Cos: -0.09350421279668808
Norm Quadratic Average: 13.932818412780762
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9638832807540894
Inter Cos: -0.11739663034677505
Norm Quadratic Average: 11.057239532470703
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3829134702682495
Accuracy: 0.885
NC1 Within Class Collapse: 1.1788949966430664
NC2 Equinorm: Features: 0.010497604496777058, Weights: 0.05207989364862442
NC2 Equiangle: Features: 0.2360067367553711, Weights: 0.1282329261302948
NC3 Self-Duality: 0.2298317700624466
NC4 NCC Mismatch: 0.014000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.166107177734375
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 8.13393783569336
Linear Weight Rank: 180
Intra Cos: 0.07218760997056961
Inter Cos: 0.0035740912426263094
Norm Quadratic Average: 13.801939010620117
Nearest Class Center Accuracy: 0.8655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.081748962402344
Linear Weight Rank: 180
Intra Cos: 0.1045924499630928
Inter Cos: 0.0035927346907556057
Norm Quadratic Average: 13.766404151916504
Nearest Class Center Accuracy: 0.9075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.08754825592041
Linear Weight Rank: 180
Intra Cos: 0.11473658680915833
Inter Cos: 0.007642072159796953
Norm Quadratic Average: 13.734945297241211
Nearest Class Center Accuracy: 0.895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046793937683105
Linear Weight Rank: 180
Intra Cos: 0.13256308436393738
Inter Cos: -0.00046906759962439537
Norm Quadratic Average: 13.703119277954102
Nearest Class Center Accuracy: 0.8975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060258865356445
Linear Weight Rank: 180
Intra Cos: 0.1558550000190735
Inter Cos: 0.0023470516316592693
Norm Quadratic Average: 13.729592323303223
Nearest Class Center Accuracy: 0.89

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033950805664062
Linear Weight Rank: 179
Intra Cos: 0.18082141876220703
Inter Cos: -0.002830320503562689
Norm Quadratic Average: 13.69070053100586
Nearest Class Center Accuracy: 0.878

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.030196189880371
Linear Weight Rank: 180
Intra Cos: 0.23253805935382843
Inter Cos: -0.013233209028840065
Norm Quadratic Average: 13.553482055664062
Nearest Class Center Accuracy: 0.89

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0796549320220947
Linear Weight Rank: 4
Intra Cos: 0.3356773853302002
Inter Cos: -0.031345754861831665
Norm Quadratic Average: 13.390789985656738
Nearest Class Center Accuracy: 0.8895

Output Layer:
Intra Cos: 0.7205356955528259
Inter Cos: -0.02260860800743103
Norm Quadratic Average: 10.195703506469727
Nearest Class Center Accuracy: 0.8885

