update for clothing1m
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@ -21,7 +21,7 @@ python3 main.py --dataset cifar100 --optimizer sgd --bs 100 --corruption_type fl
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On Clothing1M, run MLC as
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```python
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python3 main.py --dataset clothing1m --optimizer sgd --bs 32 --corruption_type unif --corruption_level 0.1 --gold_fraction 0.1 --epochs 15 --main_lr 0.1 --meta_lr 3e-4 --runid clothing1m_run --cls_dim 128
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python3 main.py --dataset clothing1m --optimizer sgd --bs 32 --corruption_type unif --corruption_level 0.1 --gold_fraction 0.1 --epochs 15 --main_lr 0.1 --meta_lr 0.003 --runid clothing1m_run --cls_dim 128 --skip --gradient_steps 5
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```
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(Note that for clothing1m, ```corruption_type```, ```corruption_level```, and ```gold_fraction``` have no effect as the original dataset comes with actual noisy labels and clean/noisy data splits.)
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