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_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.08325481414795
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.978636741638184
Linear Weight Rank: 179
Intra Cos: 0.028662102296948433
Inter Cos: -0.003977098036557436
Norm Quadratic Average: 4.739368438720703
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.960296630859375
Linear Weight Rank: 179
Intra Cos: 0.026103122159838676
Inter Cos: -0.0034321595449000597
Norm Quadratic Average: 1.7461516857147217
Nearest Class Center Accuracy: 0.5375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.984918117523193
Linear Weight Rank: 180
Intra Cos: 0.022500071674585342
Inter Cos: -0.0026070442982017994
Norm Quadratic Average: 0.6469921469688416
Nearest Class Center Accuracy: 0.52975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.957240104675293
Linear Weight Rank: 180
Intra Cos: 0.022659514099359512
Inter Cos: 0.00043580529745668173
Norm Quadratic Average: 0.2444891631603241
Nearest Class Center Accuracy: 0.511375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.978585243225098
Linear Weight Rank: 180
Intra Cos: 0.02507694810628891
Inter Cos: -0.0004050383868161589
Norm Quadratic Average: 0.09682263433933258
Nearest Class Center Accuracy: 0.507625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.958322048187256
Linear Weight Rank: 180
Intra Cos: 0.023468662053346634
Inter Cos: 0.0009534395067021251
Norm Quadratic Average: 0.03705775737762451
Nearest Class Center Accuracy: 0.497375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.95737886428833
Linear Weight Rank: 180
Intra Cos: 0.02446332573890686
Inter Cos: 0.004866382107138634
Norm Quadratic Average: 0.013531496748328209
Nearest Class Center Accuracy: 0.479875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1373311281204224
Linear Weight Rank: 4
Intra Cos: 0.02631031721830368
Inter Cos: 0.006137537304311991
Norm Quadratic Average: 0.005599515046924353
Nearest Class Center Accuracy: 0.471

Output Layer:
Intra Cos: 0.048157334327697754
Inter Cos: 0.014272631146013737
Norm Quadratic Average: 0.0005162424058653414
Nearest Class Center Accuracy: 0.41875

Test Set:
Average Loss: 1.3866915435791016
Accuracy: 0.255
NC1 Within Class Collapse: 21.83315658569336
NC2 Equinorm: Features: 0.09798126667737961, Weights: 0.055599287152290344
NC2 Equiangle: Features: 0.26952709754308063, Weights: 0.31909410158793133
NC3 Self-Duality: 1.6537317037582397
NC4 NCC Mismatch: 0.738

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.08325481414795
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
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: 7.978636741638184
Linear Weight Rank: 179
Intra Cos: 0.025960013270378113
Inter Cos: -0.0036918018013238907
Norm Quadratic Average: 4.746194362640381
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.960296630859375
Linear Weight Rank: 179
Intra Cos: 0.02379247546195984
Inter Cos: -0.003099345602095127
Norm Quadratic Average: 1.747661828994751
Nearest Class Center Accuracy: 0.552

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.984918117523193
Linear Weight Rank: 180
Intra Cos: 0.01935013197362423
Inter Cos: -0.001465920708142221
Norm Quadratic Average: 0.647901177406311
Nearest Class Center Accuracy: 0.5425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.957240104675293
Linear Weight Rank: 180
Intra Cos: 0.02002068981528282
Inter Cos: 0.0015273464377969503
Norm Quadratic Average: 0.24432247877120972
Nearest Class Center Accuracy: 0.5215

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.978585243225098
Linear Weight Rank: 180
Intra Cos: 0.021198170259594917
Inter Cos: 0.0009808698669075966
Norm Quadratic Average: 0.09690102189779282
Nearest Class Center Accuracy: 0.503

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.958322048187256
Linear Weight Rank: 180
Intra Cos: 0.020742421969771385
Inter Cos: -0.00018720346270129085
Norm Quadratic Average: 0.03712493181228638
Nearest Class Center Accuracy: 0.497

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.95737886428833
Linear Weight Rank: 180
Intra Cos: 0.019309647381305695
Inter Cos: 0.0037704796995967627
Norm Quadratic Average: 0.01354206819087267
Nearest Class Center Accuracy: 0.4705

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1373311281204224
Linear Weight Rank: 4
Intra Cos: 0.021898292005062103
Inter Cos: 0.0038191319908946753
Norm Quadratic Average: 0.005607294850051403
Nearest Class Center Accuracy: 0.4695

Output Layer:
Intra Cos: 0.03554593771696091
Inter Cos: 0.015557252801954746
Norm Quadratic Average: 0.0005144189926795661
Nearest Class Center Accuracy: 0.427

