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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.545389175415039
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: 8.574780464172363
Linear Weight Rank: 179
Intra Cos: 0.11872528493404388
Inter Cos: 0.007397929206490517
Norm Quadratic Average: 5.219007968902588
Nearest Class Center Accuracy: 0.932625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.560842514038086
Linear Weight Rank: 179
Intra Cos: 0.4776667058467865
Inter Cos: 0.03780809044837952
Norm Quadratic Average: 4.205031394958496
Nearest Class Center Accuracy: 0.972125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.543374061584473
Linear Weight Rank: 179
Intra Cos: 0.673456609249115
Inter Cos: 0.06276612728834152
Norm Quadratic Average: 6.041518688201904
Nearest Class Center Accuracy: 0.971875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.571155548095703
Linear Weight Rank: 179
Intra Cos: 0.7227488160133362
Inter Cos: 0.039086952805519104
Norm Quadratic Average: 9.346037864685059
Nearest Class Center Accuracy: 0.983875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.973099946975708
Linear Weight Rank: 4
Intra Cos: 0.7286414504051208
Inter Cos: 0.027958326041698456
Norm Quadratic Average: 13.920316696166992
Nearest Class Center Accuracy: 0.984

Output Layer:
Intra Cos: 0.8381277322769165
Inter Cos: 0.0727529227733612
Norm Quadratic Average: 26.00606918334961
Nearest Class Center Accuracy: 0.985875

Test Set:
Average Loss: 0.0622096209526062
Accuracy: 0.97
NC1 Within Class Collapse: 1.5104628801345825
NC2 Equinorm: Features: 0.04456070438027382, Weights: 0.04745418578386307
NC2 Equiangle: Features: 0.42828845977783203, Weights: 0.3715507984161377
NC3 Self-Duality: 0.114754818379879
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.545389175415039
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: 8.574780464172363
Linear Weight Rank: 179
Intra Cos: 0.1163829118013382
Inter Cos: 0.004395902622491121
Norm Quadratic Average: 5.22115421295166
Nearest Class Center Accuracy: 0.927

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.560842514038086
Linear Weight Rank: 179
Intra Cos: 0.4745611250400543
Inter Cos: 0.02492726407945156
Norm Quadratic Average: 4.245039939880371
Nearest Class Center Accuracy: 0.9565

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.543374061584473
Linear Weight Rank: 179
Intra Cos: 0.675243616104126
Inter Cos: 0.04799405485391617
Norm Quadratic Average: 6.107879161834717
Nearest Class Center Accuracy: 0.951

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.571155548095703
Linear Weight Rank: 179
Intra Cos: 0.7164604663848877
Inter Cos: 0.04612526297569275
Norm Quadratic Average: 9.441682815551758
Nearest Class Center Accuracy: 0.963

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.973099946975708
Linear Weight Rank: 4
Intra Cos: 0.7416655421257019
Inter Cos: 0.03893859684467316
Norm Quadratic Average: 14.045592308044434
Nearest Class Center Accuracy: 0.9655

Output Layer:
Intra Cos: 0.828097939491272
Inter Cos: 0.05833771079778671
Norm Quadratic Average: 26.17333221435547
Nearest Class Center Accuracy: 0.969

