Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp6_model_depth_MLP_15_weight_decay_0.0003.pth.tar
Training Set:
Average Loss: 0.00045360185974277554
Accuracy: 1.0
NC1 Within Class Collapse: 0.04804118722677231
NC2 Equinorm: Features: 0.07257981598377228, Weights: 0.014764711260795593
NC2 Equiangle: Features: 0.05065243442853292, Weights: 0.025919432441393535
NC3 Self-Duality: 0.22162877023220062
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 15.36701774597168
Intra Cos: 0.015340002253651619
Inter Cos: 0.00368381361477077
Norm Quadratic Average: 3.9849934577941895
Nearest Class Center Accuracy: 0.441

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 22.278413772583008
Intra Cos: 0.0130045460537076
Inter Cos: 0.0037983106449246407
Norm Quadratic Average: 7.368933200836182
Nearest Class Center Accuracy: 0.47625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 21.373638153076172
Intra Cos: 0.01501425914466381
Inter Cos: 0.002103143837302923
Norm Quadratic Average: 7.225984573364258
Nearest Class Center Accuracy: 0.54975

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 17.10778045654297
Intra Cos: 0.028236553072929382
Inter Cos: 0.0003581042983569205
Norm Quadratic Average: 6.545749187469482
Nearest Class Center Accuracy: 0.71

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.803256034851074
Intra Cos: 0.07308118045330048
Inter Cos: -0.014231903478503227
Norm Quadratic Average: 5.725569725036621
Nearest Class Center Accuracy: 0.905

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.846120834350586
Intra Cos: 0.2033371925354004
Inter Cos: -0.049816399812698364
Norm Quadratic Average: 5.264352321624756
Nearest Class Center Accuracy: 0.99175

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.7937774658203125
Intra Cos: 0.4393399953842163
Inter Cos: -0.14350362122058868
Norm Quadratic Average: 5.122696876525879
Nearest Class Center Accuracy: 0.9995

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.904388427734375
Intra Cos: 0.7542850971221924
Inter Cos: -0.23705683648586273
Norm Quadratic Average: 5.042055606842041
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.540400505065918
Intra Cos: 0.8810057044029236
Inter Cos: -0.25550249218940735
Norm Quadratic Average: 4.994472503662109
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.378366470336914
Intra Cos: 0.9317076802253723
Inter Cos: -0.18828599154949188
Norm Quadratic Average: 4.974293231964111
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.310718536376953
Intra Cos: 0.9650249481201172
Inter Cos: -0.2322930246591568
Norm Quadratic Average: 4.9501471519470215
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.3105645179748535
Intra Cos: 0.9721595048904419
Inter Cos: -0.2835414409637451
Norm Quadratic Average: 4.933297634124756
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.398782730102539
Intra Cos: 0.9814211130142212
Inter Cos: -0.2604270577430725
Norm Quadratic Average: 4.9189653396606445
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.7157464027404785
Intra Cos: 0.9801045656204224
Inter Cos: -0.24172675609588623
Norm Quadratic Average: 4.9259185791015625
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.8082339763641357
Intra Cos: 0.9547626972198486
Inter Cos: -0.256558358669281
Norm Quadratic Average: 4.258974075317383
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9741470813751221
Inter Cos: -0.28193801641464233
Norm Quadratic Average: 8.210253715515137
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.00043980343639850615
Accuracy: 1.0
NC1 Within Class Collapse: 0.0484006404876709
NC2 Equinorm: Features: 0.07210911810398102, Weights: 0.014764711260795593
NC2 Equiangle: Features: 0.047398000955581665, Weights: 0.025919432441393535
NC3 Self-Duality: 0.2227407693862915
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 15.36701774597168
Intra Cos: 0.012989893555641174
Inter Cos: 0.007593180518597364
Norm Quadratic Average: 3.9882302284240723
Nearest Class Center Accuracy: 0.476

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 22.278413772583008
Intra Cos: 0.012914588674902916
Inter Cos: 0.008042917586863041
Norm Quadratic Average: 7.425962448120117
Nearest Class Center Accuracy: 0.53

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 21.373638153076172
Intra Cos: 0.014946021139621735
Inter Cos: 0.00342719373293221
Norm Quadratic Average: 7.309261798858643
Nearest Class Center Accuracy: 0.574

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 17.10778045654297
Intra Cos: 0.028741201385855675
Inter Cos: 0.004126927815377712
Norm Quadratic Average: 6.607059955596924
Nearest Class Center Accuracy: 0.726

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.803256034851074
Intra Cos: 0.07061226665973663
Inter Cos: -0.010964971967041492
Norm Quadratic Average: 5.760123252868652
Nearest Class Center Accuracy: 0.904

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.846120834350586
Intra Cos: 0.19433733820915222
Inter Cos: -0.05118495598435402
Norm Quadratic Average: 5.261610507965088
Nearest Class Center Accuracy: 0.992

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.7937774658203125
Intra Cos: 0.4310445189476013
Inter Cos: -0.13722586631774902
Norm Quadratic Average: 5.130795478820801
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.904388427734375
Intra Cos: 0.7477999329566956
Inter Cos: -0.21958473324775696
Norm Quadratic Average: 5.0742692947387695
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.540400505065918
Intra Cos: 0.8793914318084717
Inter Cos: -0.267423152923584
Norm Quadratic Average: 5.030102729797363
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.378366470336914
Intra Cos: 0.9306692481040955
Inter Cos: -0.19797560572624207
Norm Quadratic Average: 5.007683277130127
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.310718536376953
Intra Cos: 0.9644176363945007
Inter Cos: -0.23739954829216003
Norm Quadratic Average: 4.982417106628418
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.3105645179748535
Intra Cos: 0.9714528918266296
Inter Cos: -0.27227988839149475
Norm Quadratic Average: 4.953671932220459
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.398782730102539
Intra Cos: 0.9791489839553833
Inter Cos: -0.24759463965892792
Norm Quadratic Average: 4.947280406951904
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.7157464027404785
Intra Cos: 0.9771291017532349
Inter Cos: -0.2274652123451233
Norm Quadratic Average: 4.960242748260498
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.8082339763641357
Intra Cos: 0.9517910480499268
Inter Cos: -0.25063467025756836
Norm Quadratic Average: 4.285151958465576
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9724550247192383
Inter Cos: -0.28320834040641785
Norm Quadratic Average: 8.241533279418945
Nearest Class Center Accuracy: 1.0

