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_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.390231132507324
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: 8.323408126831055
Linear Weight Rank: 179
Intra Cos: 0.027549587190151215
Inter Cos: -0.005013568792492151
Norm Quadratic Average: 5.050260543823242
Nearest Class Center Accuracy: 0.59225

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.316563606262207
Linear Weight Rank: 179
Intra Cos: 0.06964820623397827
Inter Cos: -0.01667196676135063
Norm Quadratic Average: 2.5040783882141113
Nearest Class Center Accuracy: 0.67325

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.371610641479492
Linear Weight Rank: 179
Intra Cos: 0.1675502210855484
Inter Cos: -0.030790694057941437
Norm Quadratic Average: 1.8579968214035034
Nearest Class Center Accuracy: 0.717875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.34751033782959
Linear Weight Rank: 179
Intra Cos: 0.2541269361972809
Inter Cos: -0.04046100750565529
Norm Quadratic Average: 2.0791730880737305
Nearest Class Center Accuracy: 0.734

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.599104881286621
Linear Weight Rank: 4
Intra Cos: 0.2893067002296448
Inter Cos: -0.04002200812101364
Norm Quadratic Average: 2.710728406906128
Nearest Class Center Accuracy: 0.731625

Output Layer:
Intra Cos: 0.3072890341281891
Inter Cos: -0.021333137527108192
Norm Quadratic Average: 3.7509162425994873
Nearest Class Center Accuracy: 0.712

Test Set:
Average Loss: 0.6945421409606933
Accuracy: 0.7055
NC1 Within Class Collapse: 5.8355302810668945
NC2 Equinorm: Features: 0.16308297216892242, Weights: 0.07094191759824753
NC2 Equiangle: Features: 0.24220983187357584, Weights: 0.09902290503184001
NC3 Self-Duality: 0.1723262220621109
NC4 NCC Mismatch: 0.09550000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.390231132507324
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: 8.323408126831055
Linear Weight Rank: 179
Intra Cos: 0.025715500116348267
Inter Cos: -0.0039303358644247055
Norm Quadratic Average: 5.039291858673096
Nearest Class Center Accuracy: 0.6

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.316563606262207
Linear Weight Rank: 179
Intra Cos: 0.06278780847787857
Inter Cos: -0.013599228113889694
Norm Quadratic Average: 2.4890565872192383
Nearest Class Center Accuracy: 0.646

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.371610641479492
Linear Weight Rank: 179
Intra Cos: 0.1448848843574524
Inter Cos: -0.028413424268364906
Norm Quadratic Average: 1.8412882089614868
Nearest Class Center Accuracy: 0.679

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.34751033782959
Linear Weight Rank: 179
Intra Cos: 0.21850766241550446
Inter Cos: -0.03106209635734558
Norm Quadratic Average: 2.0583958625793457
Nearest Class Center Accuracy: 0.6925

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.599104881286621
Linear Weight Rank: 4
Intra Cos: 0.2521044611930847
Inter Cos: -0.015959665179252625
Norm Quadratic Average: 2.6839096546173096
Nearest Class Center Accuracy: 0.697

Output Layer:
Intra Cos: 0.2716314196586609
Inter Cos: 0.006971459835767746
Norm Quadratic Average: 3.716759204864502
Nearest Class Center Accuracy: 0.6815

