Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.128555297851562
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
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: 8.142607688903809
Linear Weight Rank: 179
Intra Cos: 0.023648526519536972
Inter Cos: -0.0025717229582369328
Norm Quadratic Average: 4.832514762878418
Nearest Class Center Accuracy: 0.568375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.162006378173828
Linear Weight Rank: 179
Intra Cos: 0.017254747450351715
Inter Cos: -0.0005516837118193507
Norm Quadratic Average: 1.7048542499542236
Nearest Class Center Accuracy: 0.537

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.103541374206543
Linear Weight Rank: 179
Intra Cos: 0.014312013983726501
Inter Cos: 0.0025873335544019938
Norm Quadratic Average: 0.6290236711502075
Nearest Class Center Accuracy: 0.495375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112828254699707
Linear Weight Rank: 180
Intra Cos: 0.016614459455013275
Inter Cos: 0.006618650164455175
Norm Quadratic Average: 0.24173983931541443
Nearest Class Center Accuracy: 0.487625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134547233581543
Linear Weight Rank: 179
Intra Cos: 0.015453949570655823
Inter Cos: 0.005158395506441593
Norm Quadratic Average: 0.09764747321605682
Nearest Class Center Accuracy: 0.473375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113527297973633
Linear Weight Rank: 180
Intra Cos: 0.016718214377760887
Inter Cos: 0.00719505874440074
Norm Quadratic Average: 0.037243783473968506
Nearest Class Center Accuracy: 0.45325

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.107946395874023
Linear Weight Rank: 179
Intra Cos: 0.015943516045808792
Inter Cos: 0.01018484402447939
Norm Quadratic Average: 0.01584525965154171
Nearest Class Center Accuracy: 0.43725

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1941874027252197
Linear Weight Rank: 4
Intra Cos: 0.016272468492388725
Inter Cos: 0.011692079715430737
Norm Quadratic Average: 0.006698282435536385
Nearest Class Center Accuracy: 0.434875

Output Layer:
Intra Cos: 0.03126952797174454
Inter Cos: 0.028888169676065445
Norm Quadratic Average: 0.000788023229688406
Nearest Class Center Accuracy: 0.41075

Test Set:
Average Loss: 1.3866709594726563
Accuracy: 0.255
NC1 Within Class Collapse: 40.60222625732422
NC2 Equinorm: Features: 0.38475072383880615, Weights: 0.024280838668346405
NC2 Equiangle: Features: 0.24058663845062256, Weights: 0.3444494406382243
NC3 Self-Duality: 1.572591781616211
NC4 NCC Mismatch: 0.6455

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.128555297851562
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 8.142607688903809
Linear Weight Rank: 179
Intra Cos: 0.023379413411021233
Inter Cos: -0.0016087433323264122
Norm Quadratic Average: 4.845590114593506
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.162006378173828
Linear Weight Rank: 179
Intra Cos: 0.016534367576241493
Inter Cos: 7.831719995010644e-05
Norm Quadratic Average: 1.7056419849395752
Nearest Class Center Accuracy: 0.5465

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.103541374206543
Linear Weight Rank: 179
Intra Cos: 0.012627989985048771
Inter Cos: 0.003577947849407792
Norm Quadratic Average: 0.6287870407104492
Nearest Class Center Accuracy: 0.5125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112828254699707
Linear Weight Rank: 180
Intra Cos: 0.013088300824165344
Inter Cos: 0.007675683591514826
Norm Quadratic Average: 0.2414655089378357
Nearest Class Center Accuracy: 0.499

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134547233581543
Linear Weight Rank: 179
Intra Cos: 0.012142213061451912
Inter Cos: 0.006580252666026354
Norm Quadratic Average: 0.09755901992321014
Nearest Class Center Accuracy: 0.4895

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113527297973633
Linear Weight Rank: 180
Intra Cos: 0.013197037391364574
Inter Cos: 0.009718541987240314
Norm Quadratic Average: 0.037184786051511765
Nearest Class Center Accuracy: 0.4685

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.107946395874023
Linear Weight Rank: 179
Intra Cos: 0.012904913164675236
Inter Cos: 0.011383699253201485
Norm Quadratic Average: 0.015831392258405685
Nearest Class Center Accuracy: 0.4565

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1941874027252197
Linear Weight Rank: 4
Intra Cos: 0.012376871891319752
Inter Cos: 0.012405140325427055
Norm Quadratic Average: 0.006698499899357557
Nearest Class Center Accuracy: 0.458

Output Layer:
Intra Cos: 0.023395776748657227
Inter Cos: 0.02816546894609928
Norm Quadratic Average: 0.0007877650787122548
Nearest Class Center Accuracy: 0.409

