FS-TFP/scripts/personalization_exp_scripts/run_synthetic_ditto.sh

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set -e
cd ../..
cudaid=$1
dataset=synthetic
echo "HPO starts..."
models=('lr')
lrs=(0.5 0.01 0.1 0.05 0.005)
local_updates=(10 30)
personalization_regular_weight=0.1
method=Ditto
bs=64
outdir=exp_out/${method}
for (( g=0; g<${#models[@]}; g++ ))
do
for (( i=0; i<${#lrs[@]}; i++ ))
do
for (( j=0; j<${#local_updates[@]}; j++ ))
do
for k in {1..3}
do
python federatedscope/main.py --cfg federatedscope/nlp/baseline/fedavg_lr_on_synthetic.yaml federate.method ${method} dataloader.batch_size ${bs} personalization.regular_weight ${personalization_regular_weight} device ${cudaid} train.optimizer.lr ${lrs[$i]} train.local_update_steps ${local_updates[$j]} model.type ${models[$g]} seed $k outdir ${outdir}/${models[$g]}_${lrs[$i]}_${local_updates[$j]}_bs${bs}_on_${dataset}
done
done
done
done
echo "HPO ends."