Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.062549591064453
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.1636381149292
Linear Weight Rank: 180
Intra Cos: 0.025020772591233253
Inter Cos: -0.0030687348917126656
Norm Quadratic Average: 13.95362377166748
Nearest Class Center Accuracy: 0.58525

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139697074890137
Linear Weight Rank: 180
Intra Cos: 0.02680128812789917
Inter Cos: -0.0027145794592797756
Norm Quadratic Average: 13.92606258392334
Nearest Class Center Accuracy: 0.638

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.049500465393066
Linear Weight Rank: 179
Intra Cos: 0.03694842755794525
Inter Cos: -0.005139379296451807
Norm Quadratic Average: 13.880592346191406
Nearest Class Center Accuracy: 0.739375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.037891387939453
Linear Weight Rank: 179
Intra Cos: 0.06296150386333466
Inter Cos: -0.01626449078321457
Norm Quadratic Average: 13.837250709533691
Nearest Class Center Accuracy: 0.938

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8593873977661133
Linear Weight Rank: 4
Intra Cos: 0.1980394870042801
Inter Cos: -0.04754139855504036
Norm Quadratic Average: 14.063201904296875
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8591054081916809
Inter Cos: -0.13498732447624207
Norm Quadratic Average: 11.36477279663086
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1101419372558594
Accuracy: 0.726
NC1 Within Class Collapse: 3.7635505199432373
NC2 Equinorm: Features: 0.05563047528266907, Weights: 0.024634351953864098
NC2 Equiangle: Features: 0.11609730124473572, Weights: 0.0543023943901062
NC3 Self-Duality: 0.1930069625377655
NC4 NCC Mismatch: 0.056499999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.062549591064453
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.1636381149292
Linear Weight Rank: 180
Intra Cos: 0.02468193881213665
Inter Cos: -0.0023662049788981676
Norm Quadratic Average: 14.018963813781738
Nearest Class Center Accuracy: 0.571

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139697074890137
Linear Weight Rank: 180
Intra Cos: 0.02320580929517746
Inter Cos: -0.001866296399384737
Norm Quadratic Average: 13.956695556640625
Nearest Class Center Accuracy: 0.6215

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.049500465393066
Linear Weight Rank: 179
Intra Cos: 0.028664924204349518
Inter Cos: -0.0017789793200790882
Norm Quadratic Average: 13.904117584228516
Nearest Class Center Accuracy: 0.668

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.037891387939453
Linear Weight Rank: 179
Intra Cos: 0.04092249646782875
Inter Cos: -0.005375280510634184
Norm Quadratic Average: 13.766504287719727
Nearest Class Center Accuracy: 0.709

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8593873977661133
Linear Weight Rank: 4
Intra Cos: 0.09373253583908081
Inter Cos: -0.016607826575636864
Norm Quadratic Average: 13.76720905303955
Nearest Class Center Accuracy: 0.736

Output Layer:
Intra Cos: 0.4154524505138397
Inter Cos: -0.06733163446187973
Norm Quadratic Average: 10.469335556030273
Nearest Class Center Accuracy: 0.7295

