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b_tmall.sh
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b_tmall.sh
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#!/bin/bash
# lr=('0.001' '0.005' '0.01')
# lr=('0.001' '0.0001' '0.0005')
lr=('0.0001')
# lr=('0.01')
# reg_weight=('0.01' '0.001' '0.0001')
emb_size=(64)
# lr=('0.0005')
reg_weight=('0.0001')
# log_regs=('0.5' '0.7' '1.0')
# log_regs=('0.9' '0.7' '0.5')
# log_regs=('1.0' '1.2' '1.5')
log_regs=('0.3')
# log_regs=('0.1' '0.5' '0.7' '0.9')
dataset=('tmall')
device='cuda:6'
batch_size=1024
decay=('0')
model_name='model'
gpu_no=1
for name in ${dataset[@]}
do
for l in ${lr[@]}
do
for reg in ${reg_weight[@]}
do
for emb in ${emb_size[@]}
do
for dec in ${decay[@]}
do
for log_reg in ${log_regs[@]}
do
echo 'start train: '$name
`
python main.py \
--lr ${l} \
--reg_weight ${reg} \
--log_reg ${log_reg} \
--data_name $name \
--embedding_size $emb \
--device $device \
--decay $dec \
--batch_size $batch_size \
--gpu_no $gpu_no \
--model_name $model_name
`
echo 'train end: '$name
done
done
done
done
done
done