============================================================
BENCHMARK RESULTS FOR MODEL T_large (338M)
============================================================
Noise Fraction  Gen Steps  Accuracy
-----------------------------------
0.00            1          0.9230
0.05            1          0.8748
0.10            1          0.7996
0.15            1          0.7543
0.20            1          0.7092
0.25            1          0.6742
0.30            1          0.6402
0.00            2          0.9181
0.05            2          0.7867
0.10            2          0.6958
0.15            2          0.6273
0.20            2          0.5868
0.25            2          0.5643
0.30            2          0.5442
0.00            3          0.6185
0.05            3          0.5281
0.10            3          0.4857
0.15            3          0.4514
0.20            3          0.4316
0.25            3          0.4129
0.30            3          0.4010
0.00            4          0.6861
0.05            4          0.6140
0.10            4          0.5600
0.15            4          0.5273
0.20            4          0.5005
0.25            4          0.4704
0.30            4          0.4521


============================================================
BENCHMARK RESULTS FOR MODEL T_middle (229M)
============================================================
Noise Fraction  Gen Steps  Accuracy
-----------------------------------
0.00            1          0.9287
0.05            1          0.8682
0.10            1          0.8115
0.15            1          0.7607
0.20            1          0.7192
0.25            1          0.6897
0.30            1          0.6487
0.00            2          0.9285
0.05            2          0.7976
0.10            2          0.7147
0.15            2          0.6433
0.20            2          0.5972
0.25            2          0.5746
0.30            2          0.5588
0.00            3          0.6327
0.05            3          0.5455
0.10            3          0.5017
0.15            3          0.4666
0.20            3          0.4324
0.25            3          0.4202
0.30            3          0.4135
0.00            4          0.6791
0.05            4          0.6154
0.10            4          0.5677
0.15            4          0.5239
0.20            4          0.4990
0.25            4          0.4709
0.30            4          0.4551


============================================================
BENCHMARK RESULTS FOR MODEL T_small (157M)
============================================================
Noise Fraction  Gen Steps  Accuracy
-----------------------------------
0.00            1          0.9243
0.05            1          0.8562
0.10            1          0.7947
0.15            1          0.7471
0.20            1          0.7078
0.25            1          0.6780
0.30            1          0.6394
0.00            2          0.9198
0.05            2          0.7865
0.10            2          0.6971
0.15            2          0.6274
0.20            2          0.5892
0.25            2          0.5563
0.30            2          0.5356
0.00            3          0.6231
0.05            3          0.5320
0.10            3          0.4915
0.15            3          0.4504
0.20            3          0.4187
0.25            3          0.4078
0.30            3          0.3970
0.00            4          0.6747
0.05            4          0.6113
0.10            4          0.5499
0.15            4          0.5088
0.20            4          0.4913
0.25            4          0.4512
0.30            4          0.4246


============================================================
BENCHMARK RESULTS FOR MODEL R_large (206M)
============================================================
Noise Fraction  Gen Steps  Accuracy                                                                                      
-----------------------------------                                                                                     
0.00            1          0.9191                          
0.05            1          0.8506                          
0.10            1          0.7688                          
0.15            1          0.7256                          
0.20            1          0.6797                          
0.25            1          0.6426                          
0.30            1          0.6061                          
0.00            2          0.7405                          
0.05            2          0.6703                          
0.10            2          0.6109                          
0.15            2          0.5678                          
0.20            2          0.5336                          
0.25            2          0.5021                          
0.30            2          0.4919                          
0.00            3          0.5722                          
0.05            3          0.5242                          
0.10            3          0.4797                          
0.15            3          0.4581                          
0.20            3          0.4428                          
0.25            3          0.4152                          
0.30            3          0.4201                          
0.00            4          0.6646                          
0.05            4          0.6130                          
0.10            4          0.5708                          
0.15            4          0.5451                          
0.20            4          0.5195                          
0.25            4          0.5039                          
0.30            4          0.4865


============================================================
BENCHMARK RESULTS FOR MODEL R_middle (154M)
============================================================
Noise Fraction  Gen Steps  Accuracy
-----------------------------------
0.00            1          0.7309
0.05            1          0.7088
0.10            1          0.6889
0.15            1          0.6770
0.20            1          0.6580
0.25            1          0.6518
0.30            1          0.6271
0.00            2          0.4790
0.05            2          0.4679
0.10            2          0.4695
0.15            2          0.4621
0.20            2          0.4703
0.25            2          0.4593
0.30            2          0.4460
0.00            3          0.3538
0.05            3          0.3637
0.10            3          0.3660
0.15            3          0.3751
0.20            3          0.3753
0.25            3          0.3769
0.30            3          0.3732
0.00            4          0.4626
0.05            4          0.4537
0.10            4          0.4386
0.15            4          0.4359
0.20            4          0.4244
0.25            4          0.4305
0.30            4          0.4182


============================================================
BENCHMARK RESULTS FOR MODEL R_small (77M)
============================================================
Noise Fraction  Gen Steps  Accuracy
-----------------------------------
0.00            1          0.7805
0.05            1          0.7381
0.10            1          0.7072
0.15            1          0.6934
0.20            1          0.6666
0.25            1          0.6518
0.30            1          0.6221
0.00            2          0.5150
0.05            2          0.4861
0.10            2          0.4882
0.15            2          0.4784
0.20            2          0.4642
0.25            2          0.4487
0.30            2          0.4465
0.00            3          0.4459
0.05            3          0.4252
0.10            3          0.4085
0.15            3          0.3946
0.20            3          0.3883
0.25            3          0.3844
0.30            3          0.3796
0.00            4          0.5214
0.05            4          0.4961
0.10            4          0.4711
0.15            4          0.4602
0.20            4          0.4409
0.25            4          0.4336
0.30            4          0.4269

