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_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.0465288162231445
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.004475116729736
Linear Weight Rank: 179
Intra Cos: 0.02895423024892807
Inter Cos: -0.0013199924724176526
Norm Quadratic Average: 3.6620125770568848
Nearest Class Center Accuracy: 0.579125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.005173206329346
Linear Weight Rank: 179
Intra Cos: 0.07581489533185959
Inter Cos: 0.02629522606730461
Norm Quadratic Average: 1.6284302473068237
Nearest Class Center Accuracy: 0.569125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.049413681030273
Linear Weight Rank: 179
Intra Cos: 0.11597566306591034
Inter Cos: 0.04924052208662033
Norm Quadratic Average: 1.2753618955612183
Nearest Class Center Accuracy: 0.552375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.041781902313232
Linear Weight Rank: 179
Intra Cos: 0.12710539996623993
Inter Cos: 0.06108194962143898
Norm Quadratic Average: 1.2633124589920044
Nearest Class Center Accuracy: 0.54225

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8985648155212402
Linear Weight Rank: 4
Intra Cos: 0.1249910369515419
Inter Cos: 0.058251071721315384
Norm Quadratic Average: 1.361708402633667
Nearest Class Center Accuracy: 0.535

Output Layer:
Intra Cos: 0.11586681008338928
Inter Cos: 0.04562816396355629
Norm Quadratic Average: 1.6572185754776
Nearest Class Center Accuracy: 0.529625

Test Set:
Average Loss: 1.0305454406738281
Accuracy: 0.5475
NC1 Within Class Collapse: 28.396995544433594
NC2 Equinorm: Features: 0.31888753175735474, Weights: 0.2237299084663391
NC2 Equiangle: Features: 0.45129768053690594, Weights: 0.2906474272410075
NC3 Self-Duality: 0.17740397155284882
NC4 NCC Mismatch: 0.07850000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.0465288162231445
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 6.004475116729736
Linear Weight Rank: 179
Intra Cos: 0.02739717997610569
Inter Cos: 0.0003745576541405171
Norm Quadratic Average: 3.6511857509613037
Nearest Class Center Accuracy: 0.595

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.005173206329346
Linear Weight Rank: 179
Intra Cos: 0.07293114066123962
Inter Cos: 0.03471234440803528
Norm Quadratic Average: 1.609663963317871
Nearest Class Center Accuracy: 0.5705

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.049413681030273
Linear Weight Rank: 179
Intra Cos: 0.11140332370996475
Inter Cos: 0.06613492965698242
Norm Quadratic Average: 1.2559458017349243
Nearest Class Center Accuracy: 0.554

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.041781902313232
Linear Weight Rank: 179
Intra Cos: 0.12340492755174637
Inter Cos: 0.08200987428426743
Norm Quadratic Average: 1.245030403137207
Nearest Class Center Accuracy: 0.547

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8985648155212402
Linear Weight Rank: 4
Intra Cos: 0.12382479757070541
Inter Cos: 0.08197847753763199
Norm Quadratic Average: 1.3453716039657593
Nearest Class Center Accuracy: 0.5385

Output Layer:
Intra Cos: 0.1157793179154396
Inter Cos: 0.07012255489826202
Norm Quadratic Average: 1.639386773109436
Nearest Class Center Accuracy: 0.531

