Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.134718894958496
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134676933288574
Linear Weight Rank: 180
Intra Cos: 0.025234539061784744
Inter Cos: -0.004758612252771854
Norm Quadratic Average: 13.911873817443848
Nearest Class Center Accuracy: 0.575375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.08508586883545
Linear Weight Rank: 179
Intra Cos: 0.02868966944515705
Inter Cos: -0.003169410629197955
Norm Quadratic Average: 13.888157844543457
Nearest Class Center Accuracy: 0.629875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.104188919067383
Linear Weight Rank: 179
Intra Cos: 0.03524892404675484
Inter Cos: -0.006373635958880186
Norm Quadratic Average: 13.856308937072754
Nearest Class Center Accuracy: 0.747875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.047616958618164
Linear Weight Rank: 180
Intra Cos: 0.06508877873420715
Inter Cos: -0.015459162183105946
Norm Quadratic Average: 13.830520629882812
Nearest Class Center Accuracy: 0.942625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.841596841812134
Linear Weight Rank: 4
Intra Cos: 0.2026439905166626
Inter Cos: -0.05735959857702255
Norm Quadratic Average: 14.128061294555664
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8557594418525696
Inter Cos: -0.16593828797340393
Norm Quadratic Average: 11.275919914245605
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0816445388793945
Accuracy: 0.7245
NC1 Within Class Collapse: 3.7976057529449463
NC2 Equinorm: Features: 0.06327582150697708, Weights: 0.03141719475388527
NC2 Equiangle: Features: 0.09312636653582256, Weights: 0.0556559811035792
NC3 Self-Duality: 0.2034359723329544
NC4 NCC Mismatch: 0.0645

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.134718894958496
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 8.134676933288574
Linear Weight Rank: 180
Intra Cos: 0.023479903116822243
Inter Cos: -0.003555313916876912
Norm Quadratic Average: 13.91122055053711
Nearest Class Center Accuracy: 0.5935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.08508586883545
Linear Weight Rank: 179
Intra Cos: 0.024884385988116264
Inter Cos: -0.001378429587930441
Norm Quadratic Average: 13.875687599182129
Nearest Class Center Accuracy: 0.619

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.104188919067383
Linear Weight Rank: 179
Intra Cos: 0.02535126730799675
Inter Cos: -0.00308591453358531
Norm Quadratic Average: 13.872401237487793
Nearest Class Center Accuracy: 0.6705

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.047616958618164
Linear Weight Rank: 180
Intra Cos: 0.03678775951266289
Inter Cos: -0.004909187089651823
Norm Quadratic Average: 13.78972339630127
Nearest Class Center Accuracy: 0.716

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.841596841812134
Linear Weight Rank: 4
Intra Cos: 0.089547298848629
Inter Cos: -0.015561694279313087
Norm Quadratic Average: 13.87816333770752
Nearest Class Center Accuracy: 0.74

Output Layer:
Intra Cos: 0.39915215969085693
Inter Cos: -0.06037503480911255
Norm Quadratic Average: 10.415538787841797
Nearest Class Center Accuracy: 0.7305

