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_979323_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1487789154052734
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
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: 3.1156022548675537
Linear Weight Rank: 180
Intra Cos: 0.02345770224928856
Inter Cos: -0.004865897819399834
Norm Quadratic Average: 1.8804917335510254
Nearest Class Center Accuracy: 0.565125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.112596273422241
Linear Weight Rank: 180
Intra Cos: 0.022446464747190475
Inter Cos: -0.0027052927762269974
Norm Quadratic Average: 0.26391491293907166
Nearest Class Center Accuracy: 0.533125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.133104085922241
Linear Weight Rank: 179
Intra Cos: 0.018799271434545517
Inter Cos: -0.003439685795456171
Norm Quadratic Average: 0.03894275799393654
Nearest Class Center Accuracy: 0.511125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1186485290527344
Linear Weight Rank: 180
Intra Cos: 0.020090779289603233
Inter Cos: 0.0010677063837647438
Norm Quadratic Average: 0.005932903848588467
Nearest Class Center Accuracy: 0.487875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.120877504348755
Linear Weight Rank: 180
Intra Cos: 0.02145020291209221
Inter Cos: -0.0022841389290988445
Norm Quadratic Average: 0.0009197063045576215
Nearest Class Center Accuracy: 0.47625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.133155584335327
Linear Weight Rank: 180
Intra Cos: 0.023347577080130577
Inter Cos: 0.00248036184348166
Norm Quadratic Average: 0.0001464092347305268
Nearest Class Center Accuracy: 0.44925

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.125232458114624
Linear Weight Rank: 179
Intra Cos: 0.02919658087193966
Inter Cos: 0.00821255799382925
Norm Quadratic Average: 2.357232733629644e-05
Nearest Class Center Accuracy: 0.44275

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.465069979429245
Linear Weight Rank: 4
Intra Cos: 0.025594063103199005
Inter Cos: 0.010503692552447319
Norm Quadratic Average: 3.6545877719618147e-06
Nearest Class Center Accuracy: 0.426125

Output Layer:
Intra Cos: 0.34055936336517334
Inter Cos: 0.47279155254364014
Norm Quadratic Average: 1.6119663825975294e-07
Nearest Class Center Accuracy: 0.338375

Test Set:
Average Loss: 1.3863709564208984
Accuracy: 0.255
NC1 Within Class Collapse: 31.75916290283203
NC2 Equinorm: Features: 0.13203950226306915, Weights: 0.03441973403096199
NC2 Equiangle: Features: 0.3602031071980794, Weights: 0.28736060857772827
NC3 Self-Duality: 2.0250473022460938
NC4 NCC Mismatch: 0.757

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1487789154052734
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1156022548675537
Linear Weight Rank: 180
Intra Cos: 0.02219511568546295
Inter Cos: -0.004262092057615519
Norm Quadratic Average: 1.8760091066360474
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.112596273422241
Linear Weight Rank: 180
Intra Cos: 0.0214841365814209
Inter Cos: -0.003554475726559758
Norm Quadratic Average: 0.262445330619812
Nearest Class Center Accuracy: 0.545

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.133104085922241
Linear Weight Rank: 179
Intra Cos: 0.017460620030760765
Inter Cos: -0.003277325537055731
Norm Quadratic Average: 0.0387129932641983
Nearest Class Center Accuracy: 0.511

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1186485290527344
Linear Weight Rank: 180
Intra Cos: 0.018216997385025024
Inter Cos: 0.0011544395238161087
Norm Quadratic Average: 0.005880366079509258
Nearest Class Center Accuracy: 0.4925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.120877504348755
Linear Weight Rank: 180
Intra Cos: 0.019315840676426888
Inter Cos: -0.001069277641363442
Norm Quadratic Average: 0.0009142761118710041
Nearest Class Center Accuracy: 0.473

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.133155584335327
Linear Weight Rank: 180
Intra Cos: 0.019143646582961082
Inter Cos: 0.004189440980553627
Norm Quadratic Average: 0.0001456399040762335
Nearest Class Center Accuracy: 0.459

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.125232458114624
Linear Weight Rank: 179
Intra Cos: 0.02333439141511917
Inter Cos: 0.009923653677105904
Norm Quadratic Average: 2.3486023565055802e-05
Nearest Class Center Accuracy: 0.443

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.465069979429245
Linear Weight Rank: 4
Intra Cos: 0.019044628366827965
Inter Cos: 0.012130391784012318
Norm Quadratic Average: 3.636343990365276e-06
Nearest Class Center Accuracy: 0.4355

Output Layer:
Intra Cos: 0.031583718955516815
Inter Cos: 0.09039246290922165
Norm Quadratic Average: 1.3360647699300898e-07
Nearest Class Center Accuracy: 0.3645

