Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.22311782836914
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
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: 8.245089530944824
Linear Weight Rank: 179
Intra Cos: 0.027693551033735275
Inter Cos: -0.004023326560854912
Norm Quadratic Average: 4.93058443069458
Nearest Class Center Accuracy: 0.5895

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.26583194732666
Linear Weight Rank: 179
Intra Cos: 0.06697025895118713
Inter Cos: -0.014012855477631092
Norm Quadratic Average: 2.469736099243164
Nearest Class Center Accuracy: 0.6625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.21720027923584
Linear Weight Rank: 179
Intra Cos: 0.15529267489910126
Inter Cos: -0.017752323299646378
Norm Quadratic Average: 1.8586726188659668
Nearest Class Center Accuracy: 0.690625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.238088607788086
Linear Weight Rank: 179
Intra Cos: 0.23763245344161987
Inter Cos: -0.004594078753143549
Norm Quadratic Average: 2.047600030899048
Nearest Class Center Accuracy: 0.701625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4687118530273438
Linear Weight Rank: 4
Intra Cos: 0.2828299105167389
Inter Cos: 0.007325985003262758
Norm Quadratic Average: 2.549569606781006
Nearest Class Center Accuracy: 0.70025

Output Layer:
Intra Cos: 0.32084202766418457
Inter Cos: 0.02608807384967804
Norm Quadratic Average: 3.409188747406006
Nearest Class Center Accuracy: 0.676875

Test Set:
Average Loss: 0.7584616718292236
Accuracy: 0.6825
NC1 Within Class Collapse: 6.720690727233887
NC2 Equinorm: Features: 0.15080907940864563, Weights: 0.063084177672863
NC2 Equiangle: Features: 0.2864084243774414, Weights: 0.17410951852798462
NC3 Self-Duality: 0.1780918687582016
NC4 NCC Mismatch: 0.10350000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.22311782836914
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
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: 8.245089530944824
Linear Weight Rank: 179
Intra Cos: 0.027442850172519684
Inter Cos: -0.003068755380809307
Norm Quadratic Average: 4.941880702972412
Nearest Class Center Accuracy: 0.5895

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.26583194732666
Linear Weight Rank: 179
Intra Cos: 0.059388287365436554
Inter Cos: -0.00984395481646061
Norm Quadratic Average: 2.464878559112549
Nearest Class Center Accuracy: 0.645

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.21720027923584
Linear Weight Rank: 179
Intra Cos: 0.1337951421737671
Inter Cos: -0.02140757441520691
Norm Quadratic Average: 1.8398892879486084
Nearest Class Center Accuracy: 0.6695

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.238088607788086
Linear Weight Rank: 179
Intra Cos: 0.20368140935897827
Inter Cos: -0.011165074072778225
Norm Quadratic Average: 2.020080327987671
Nearest Class Center Accuracy: 0.674

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4687118530273438
Linear Weight Rank: 4
Intra Cos: 0.24233874678611755
Inter Cos: 0.00023989636974874884
Norm Quadratic Average: 2.5162808895111084
Nearest Class Center Accuracy: 0.678

Output Layer:
Intra Cos: 0.2781433165073395
Inter Cos: 0.020156551152467728
Norm Quadratic Average: 3.366307258605957
Nearest Class Center Accuracy: 0.6535

