Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.935117721557617
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.0082733631134033
Linear Weight Rank: 180
Intra Cos: 0.0936659723520279
Inter Cos: 0.008173258975148201
Norm Quadratic Average: 5.069037914276123
Nearest Class Center Accuracy: 0.895

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9738333225250244
Linear Weight Rank: 179
Intra Cos: 0.1425800323486328
Inter Cos: 0.01082550548017025
Norm Quadratic Average: 5.033890724182129
Nearest Class Center Accuracy: 0.93175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9228315353393555
Linear Weight Rank: 179
Intra Cos: 0.21375413239002228
Inter Cos: -0.0024425056762993336
Norm Quadratic Average: 5.009228229522705
Nearest Class Center Accuracy: 0.98425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.915970802307129
Linear Weight Rank: 179
Intra Cos: 0.42176660895347595
Inter Cos: -0.046702153980731964
Norm Quadratic Average: 4.994541645050049
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8481383323669434
Linear Weight Rank: 4
Intra Cos: 0.8382167816162109
Inter Cos: -0.2009933888912201
Norm Quadratic Average: 5.332748889923096
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9887890815734863
Inter Cos: -0.21506541967391968
Norm Quadratic Average: 5.08803129196167
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.22079156589508056
Accuracy: 0.909
NC1 Within Class Collapse: 0.7650996446609497
NC2 Equinorm: Features: 0.02057342790067196, Weights: 0.022899705916643143
NC2 Equiangle: Features: 0.18014192581176758, Weights: 0.030380432804425556
NC3 Self-Duality: 0.10351764410734177
NC4 NCC Mismatch: 0.008499999999999952

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.935117721557617
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 3.0082733631134033
Linear Weight Rank: 180
Intra Cos: 0.09275516867637634
Inter Cos: 0.009005172178149223
Norm Quadratic Average: 5.066623210906982
Nearest Class Center Accuracy: 0.9005

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9738333225250244
Linear Weight Rank: 179
Intra Cos: 0.13594543933868408
Inter Cos: 0.006499342620372772
Norm Quadratic Average: 5.052962779998779
Nearest Class Center Accuracy: 0.904

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9228315353393555
Linear Weight Rank: 179
Intra Cos: 0.19320470094680786
Inter Cos: 0.00805505272001028
Norm Quadratic Average: 5.0255537033081055
Nearest Class Center Accuracy: 0.925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.915970802307129
Linear Weight Rank: 179
Intra Cos: 0.3450775742530823
Inter Cos: -0.023603035137057304
Norm Quadratic Average: 4.941000938415527
Nearest Class Center Accuracy: 0.9285

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8481383323669434
Linear Weight Rank: 4
Intra Cos: 0.6274898052215576
Inter Cos: -0.10003530979156494
Norm Quadratic Average: 5.0085225105285645
Nearest Class Center Accuracy: 0.911

Output Layer:
Intra Cos: 0.7832379341125488
Inter Cos: -0.09488116204738617
Norm Quadratic Average: 4.6733622550964355
Nearest Class Center Accuracy: 0.91

