Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp6_model_depth_MLP_15_weight_decay_0.01.pth.tar
Training Set:
Average Loss: 1.3837930221557617
Accuracy: 0.27525
NC1 Within Class Collapse: nan
NC2 Equinorm: Features: 0.29364967346191406, Weights: 0.272909551858902
NC2 Equiangle: Features: 0.42009401321411133, Weights: 0.8767701784769694
NC3 Self-Duality: 1.6565146446228027
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.002069187816232443
Intra Cos: 0.015340002253651619
Inter Cos: 0.0036838138476014137
Norm Quadratic Average: 3.9849934577941895
Nearest Class Center Accuracy: 0.441

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.0009638476767577231
Intra Cos: 0.01782395876944065
Inter Cos: 0.01741640456020832
Norm Quadratic Average: 3.4691551263676956e-05
Nearest Class Center Accuracy: 0.36625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.0002688902895897627
Intra Cos: 0.004174548201262951
Inter Cos: 0.060071513056755066
Norm Quadratic Average: 6.876866853744446e-10
Nearest Class Center Accuracy: 0.31275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.00016331681399606168
Intra Cos: 0.9999997615814209
Inter Cos: 1.000000238418579
Norm Quadratic Average: 1.836980220715212e-12
Nearest Class Center Accuracy: 0.26025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.672753028804436e-05
Intra Cos: 1.0
Inter Cos: 1.000000238418579
Norm Quadratic Average: 3.668538129525389e-12
Nearest Class Center Accuracy: 0.23575

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.283991726581007e-05
Intra Cos: 0.9999995231628418
Inter Cos: 0.9999999403953552
Norm Quadratic Average: 9.113316655137704e-13
Nearest Class Center Accuracy: 0.26025

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.004671926610171795
Intra Cos: 1.0
Inter Cos: 1.0
Norm Quadratic Average: 2.9103830456733704e-11
Nearest Class Center Accuracy: 0.26025

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.0010877818567678332
Intra Cos: 1.0
Inter Cos: 1.0
Norm Quadratic Average: 1.1641532182693481e-10
Nearest Class Center Accuracy: 0.26025

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.3365500207291916e-05
Intra Cos: 1.0
Inter Cos: 1.0
Norm Quadratic Average: 6.821209721195876e-13
Nearest Class Center Accuracy: 0.26025

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.50168336101342e-05
Intra Cos: 1.0
Inter Cos: 1.0
Norm Quadratic Average: 1.4551915228366852e-11
Nearest Class Center Accuracy: 0.23575

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.80024560703896e-05
Intra Cos: 0.9999996423721313
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 1.1368907117809135e-12
Nearest Class Center Accuracy: 0.26025

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.311523172073066e-05
Intra Cos: 1.0
Inter Cos: 1.0
Norm Quadratic Average: 3.637978807091713e-12
Nearest Class Center Accuracy: 0.27525

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.227179205277935e-05
Intra Cos: 1.0000001192092896
Inter Cos: 1.000000238418579
Norm Quadratic Average: 3.638325751786908e-12
Nearest Class Center Accuracy: 0.22875

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.00010602178372209892
Intra Cos: 0.9999998807907104
Inter Cos: 1.0
Norm Quadratic Average: 3.637979154036408e-11
Nearest Class Center Accuracy: 0.26025

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.00027374300407245755
Intra Cos: 0.9999995231628418
Inter Cos: 0.9999998211860657
Norm Quadratic Average: 4.237139285268032e-12
Nearest Class Center Accuracy: 0.26025

Output Layer:
Intra Cos: 0.9999994039535522
Inter Cos: 0.9999998211860657
Norm Quadratic Average: 3.650024282819686e-08
Nearest Class Center Accuracy: 0.23575

Test Set:
Average Loss: 1.3827131652832032
Accuracy: 0.272
NC1 Within Class Collapse: nan
NC2 Equinorm: Features: 0.6869726777076721, Weights: 0.272909551858902
NC2 Equiangle: Features: 0.5058406591415405, Weights: 0.8767701784769694
NC3 Self-Duality: 2.7395176887512207
NC4 NCC Mismatch: 1.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.002069187816232443
Intra Cos: 0.012989891692996025
Inter Cos: 0.007593180984258652
Norm Quadratic Average: 3.9882302284240723
Nearest Class Center Accuracy: 0.476

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.0009638476767577231
Intra Cos: 0.03000214509665966
Inter Cos: 0.028459817171096802
Norm Quadratic Average: 3.4882014006143436e-05
Nearest Class Center Accuracy: 0.405

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.0002688902895897627
Intra Cos: 0.014390857890248299
Inter Cos: 0.08307009190320969
Norm Quadratic Average: 6.847521993869066e-10
Nearest Class Center Accuracy: 0.326

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.00016331681399606168
Intra Cos: 0.9999997019767761
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 3.6469880934641985e-12
Nearest Class Center Accuracy: 0.22

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.672753028804436e-05
Intra Cos: 0.9999997615814209
Inter Cos: 1.0
Norm Quadratic Average: 4.689754986263173e-13
Nearest Class Center Accuracy: 0.271

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.283991726581007e-05
Intra Cos: 0.9999999403953552
Inter Cos: 1.0
Norm Quadratic Average: 9.112710586123285e-13
Nearest Class Center Accuracy: 0.272

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.004671926610171795
Intra Cos: 0.9999999403953552
Inter Cos: 1.0
Norm Quadratic Average: 2.9103830456733704e-11
Nearest Class Center Accuracy: 0.237

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.0010877818567678332
Intra Cos: 0.9999999403953552
Inter Cos: 1.0
Norm Quadratic Average: 1.1641532182693481e-10
Nearest Class Center Accuracy: 0.22

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.3365500207291916e-05
Intra Cos: 0.9999999403953552
Inter Cos: 1.0
Norm Quadratic Average: 6.821209721195876e-13
Nearest Class Center Accuracy: 0.237

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.50168336101342e-05
Intra Cos: 0.9999999403953552
Inter Cos: 1.0
Norm Quadratic Average: 1.4551915228366852e-11
Nearest Class Center Accuracy: 0.22

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.80024560703896e-05
Intra Cos: 0.9999998211860657
Inter Cos: 0.9999999403953552
Norm Quadratic Average: 2.274014310188477e-13
Nearest Class Center Accuracy: 0.271

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.311523172073066e-05
Intra Cos: 0.9999999403953552
Inter Cos: 1.0
Norm Quadratic Average: 9.094947017729282e-13
Nearest Class Center Accuracy: 0.272

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.227179205277935e-05
Intra Cos: 0.9999998807907104
Inter Cos: 1.0
Norm Quadratic Average: 1.819017159121472e-12
Nearest Class Center Accuracy: 0.271

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.00010602178372209892
Intra Cos: 0.9999999403953552
Inter Cos: 1.0
Norm Quadratic Average: 7.275957614183426e-12
Nearest Class Center Accuracy: 0.271

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.00027374300407245755
Intra Cos: 1.0
Inter Cos: 1.000000238418579
Norm Quadratic Average: 3.777013857925171e-12
Nearest Class Center Accuracy: 0.237

Output Layer:
Intra Cos: 0.9999997019767761
Inter Cos: 0.9999998211860657
Norm Quadratic Average: 2.0061303729335123e-08
Nearest Class Center Accuracy: 0.271

