


+ Weight Decay tuning
80.036
94.746
0.526
3.906




+ FixRes mitigations
80.196
94.672
0.160
4.066


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:----------:
:---------
:--------:


+ EMA
80.450
94.908
0.254
4.320


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:----------:
:---------
:--------:


+ Inference Resize tuning *
80.674
95.166
0.224
4.544


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:----------:
:---------
:--------:


+ Repeated Augmentation **
80.858
95.434
0.184
4.728



*The tuning of the inference size was done on top of the last model. See below for details.
** Community contribution done after the release of the article. See below for details.
Baseline
Our baseline is the previously released ResNet50 model of TorchVision. It was trained with the following recipe:
```python 
  # Optimizer & LR scheme
  ngpus=8,
  batch_size=32,  # per GPU
epochs=90, 
  opt='sgd',  
  momentum=0.9,
lr=0.1, 
  lr_scheduler='steplr', 
  lr_step_size=30, 
  lr_gamma=0.1,