Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.463356018066406
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.493526458740234
Linear Weight Rank: 179
Intra Cos: 0.11954683810472488
Inter Cos: 0.007481238804757595
Norm Quadratic Average: 5.170881748199463
Nearest Class Center Accuracy: 0.9325

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.47990894317627
Linear Weight Rank: 179
Intra Cos: 0.48108145594596863
Inter Cos: 0.03790418803691864
Norm Quadratic Average: 4.1567606925964355
Nearest Class Center Accuracy: 0.97225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.462797164916992
Linear Weight Rank: 179
Intra Cos: 0.6745696663856506
Inter Cos: 0.06272930651903152
Norm Quadratic Average: 5.961379528045654
Nearest Class Center Accuracy: 0.971875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.49047565460205
Linear Weight Rank: 179
Intra Cos: 0.7230492830276489
Inter Cos: 0.03913797065615654
Norm Quadratic Average: 9.190255165100098
Nearest Class Center Accuracy: 0.98375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.963329792022705
Linear Weight Rank: 4
Intra Cos: 0.7290629148483276
Inter Cos: 0.027940820902585983
Norm Quadratic Average: 13.639958381652832
Nearest Class Center Accuracy: 0.984125

Output Layer:
Intra Cos: 0.8385964632034302
Inter Cos: 0.07265935093164444
Norm Quadratic Average: 25.418245315551758
Nearest Class Center Accuracy: 0.98575

Test Set:
Average Loss: 0.06216919374465942
Accuracy: 0.9695
NC1 Within Class Collapse: 1.5069868564605713
NC2 Equinorm: Features: 0.04463332146406174, Weights: 0.04759636148810387
NC2 Equiangle: Features: 0.4282515048980713, Weights: 0.3720631202061971
NC3 Self-Duality: 0.11336802691221237
NC4 NCC Mismatch: 0.021499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.463356018066406
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.493526458740234
Linear Weight Rank: 179
Intra Cos: 0.11720744520425797
Inter Cos: 0.00437518022954464
Norm Quadratic Average: 5.172969341278076
Nearest Class Center Accuracy: 0.9275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.47990894317627
Linear Weight Rank: 179
Intra Cos: 0.4778759777545929
Inter Cos: 0.02496507205069065
Norm Quadratic Average: 4.1963982582092285
Nearest Class Center Accuracy: 0.957

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.462797164916992
Linear Weight Rank: 179
Intra Cos: 0.6766181588172913
Inter Cos: 0.047890663146972656
Norm Quadratic Average: 6.026673316955566
Nearest Class Center Accuracy: 0.952

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.49047565460205
Linear Weight Rank: 179
Intra Cos: 0.7167791128158569
Inter Cos: 0.046238381415605545
Norm Quadratic Average: 9.283991813659668
Nearest Class Center Accuracy: 0.963

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.963329792022705
Linear Weight Rank: 4
Intra Cos: 0.7419059872627258
Inter Cos: 0.03898612782359123
Norm Quadratic Average: 13.762207984924316
Nearest Class Center Accuracy: 0.9655

Output Layer:
Intra Cos: 0.8285917639732361
Inter Cos: 0.05835589021444321
Norm Quadratic Average: 25.580947875976562
Nearest Class Center Accuracy: 0.968

