Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.094032287597656
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001681327819824
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.112998008728027
Linear Weight Rank: 180
Intra Cos: 0.07758507877588272
Inter Cos: 0.001794522162526846
Norm Quadratic Average: 8.825149536132812
Nearest Class Center Accuracy: 0.871125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.071565628051758
Linear Weight Rank: 179
Intra Cos: 0.1281670778989792
Inter Cos: 0.0003859482239931822
Norm Quadratic Average: 8.802713394165039
Nearest Class Center Accuracy: 0.93775

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.049278259277344
Linear Weight Rank: 180
Intra Cos: 0.1890009492635727
Inter Cos: 0.011066311970353127
Norm Quadratic Average: 8.750334739685059
Nearest Class Center Accuracy: 0.976875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05706787109375
Linear Weight Rank: 180
Intra Cos: 0.28719815611839294
Inter Cos: 0.009448209777474403
Norm Quadratic Average: 8.707180976867676
Nearest Class Center Accuracy: 0.999625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9961196184158325
Linear Weight Rank: 4
Intra Cos: 0.5513366460800171
Inter Cos: -0.07173337042331696
Norm Quadratic Average: 8.851114273071289
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9571455717086792
Inter Cos: -0.11060862988233566
Norm Quadratic Average: 7.504599571228027
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2326794786453247
Accuracy: 0.908
NC1 Within Class Collapse: 1.0629487037658691
NC2 Equinorm: Features: 0.02110346592962742, Weights: 0.014787278138101101
NC2 Equiangle: Features: 0.2586909532546997, Weights: 0.08137779434521993
NC3 Self-Duality: 0.16750766336917877
NC4 NCC Mismatch: 0.012499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.094032287597656
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 5.112998008728027
Linear Weight Rank: 180
Intra Cos: 0.07949505746364594
Inter Cos: 0.004372943192720413
Norm Quadratic Average: 8.819199562072754
Nearest Class Center Accuracy: 0.8755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.071565628051758
Linear Weight Rank: 179
Intra Cos: 0.12510883808135986
Inter Cos: 0.005084074102342129
Norm Quadratic Average: 8.806438446044922
Nearest Class Center Accuracy: 0.9155

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.049278259277344
Linear Weight Rank: 180
Intra Cos: 0.17556791007518768
Inter Cos: 0.016794495284557343
Norm Quadratic Average: 8.767401695251465
Nearest Class Center Accuracy: 0.9255

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05706787109375
Linear Weight Rank: 180
Intra Cos: 0.24103568494319916
Inter Cos: 0.015570743009448051
Norm Quadratic Average: 8.692851066589355
Nearest Class Center Accuracy: 0.9235

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9961196184158325
Linear Weight Rank: 4
Intra Cos: 0.4083212614059448
Inter Cos: -0.029008647426962852
Norm Quadratic Average: 8.60120677947998
Nearest Class Center Accuracy: 0.9105

Output Layer:
Intra Cos: 0.7593401074409485
Inter Cos: -0.019294068217277527
Norm Quadratic Average: 7.102611541748047
Nearest Class Center Accuracy: 0.906

