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_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.183504104614258
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: 8.216109275817871
Linear Weight Rank: 179
Intra Cos: 0.12225034832954407
Inter Cos: 0.0074147796258330345
Norm Quadratic Average: 5.006343841552734
Nearest Class Center Accuracy: 0.935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.20346450805664
Linear Weight Rank: 179
Intra Cos: 0.4921574890613556
Inter Cos: 0.03766610100865364
Norm Quadratic Average: 3.994180202484131
Nearest Class Center Accuracy: 0.97225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18752384185791
Linear Weight Rank: 179
Intra Cos: 0.6784432530403137
Inter Cos: 0.061318349093198776
Norm Quadratic Average: 5.6950788497924805
Nearest Class Center Accuracy: 0.9715

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.214881896972656
Linear Weight Rank: 179
Intra Cos: 0.7241430282592773
Inter Cos: 0.03807885944843292
Norm Quadratic Average: 8.682659149169922
Nearest Class Center Accuracy: 0.98375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9306530952453613
Linear Weight Rank: 4
Intra Cos: 0.7303462624549866
Inter Cos: 0.026740744709968567
Norm Quadratic Average: 12.73882007598877
Nearest Class Center Accuracy: 0.984

Output Layer:
Intra Cos: 0.8402301669120789
Inter Cos: 0.07258380204439163
Norm Quadratic Average: 23.541658401489258
Nearest Class Center Accuracy: 0.985375

Test Set:
Average Loss: 0.06229551506042481
Accuracy: 0.97
NC1 Within Class Collapse: 1.5009901523590088
NC2 Equinorm: Features: 0.04480776935815811, Weights: 0.04814410209655762
NC2 Equiangle: Features: 0.42828790346781415, Weights: 0.374038298924764
NC3 Self-Duality: 0.10863636434078217
NC4 NCC Mismatch: 0.021499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.183504104614258
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: 8.216109275817871
Linear Weight Rank: 179
Intra Cos: 0.11987640708684921
Inter Cos: 0.004659977741539478
Norm Quadratic Average: 5.008710861206055
Nearest Class Center Accuracy: 0.9295

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.20346450805664
Linear Weight Rank: 179
Intra Cos: 0.48850807547569275
Inter Cos: 0.02456434816122055
Norm Quadratic Average: 4.033037185668945
Nearest Class Center Accuracy: 0.957

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18752384185791
Linear Weight Rank: 179
Intra Cos: 0.6806190609931946
Inter Cos: 0.047800615429878235
Norm Quadratic Average: 5.757485389709473
Nearest Class Center Accuracy: 0.952

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.214881896972656
Linear Weight Rank: 179
Intra Cos: 0.7178208231925964
Inter Cos: 0.04810962826013565
Norm Quadratic Average: 8.771018028259277
Nearest Class Center Accuracy: 0.9645

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9306530952453613
Linear Weight Rank: 4
Intra Cos: 0.7424801588058472
Inter Cos: 0.040654465556144714
Norm Quadratic Average: 12.852618217468262
Nearest Class Center Accuracy: 0.966

Output Layer:
Intra Cos: 0.8291337490081787
Inter Cos: 0.05819162726402283
Norm Quadratic Average: 23.69127082824707
Nearest Class Center Accuracy: 0.969

