run_experiments_own.sh

#!/usr/bin/env bash


# Activating the environment
#source /media/lext/FAST/pytorch_3_6_env/bin/activate

# Training parameters
export DROPOUT=0.2
export WD=1e-4
export BATCH_SIZE=64
export BATCH_SIZE_VAL=64
export BASE_WIDTH=64
export LR=1e-2

export LOGS_FLD="training_logs"
export N_EPOCH=100
export N_BATCHES=500
export BOOTRSTRAP=15


mkdir -p $LOGS_FLD
cd own_codes


export SEED=21
export SUFFIX="${SEED}_${BASE_WIDTH}_${BATCH_SIZE}"
python -u train.py --use_visdom True --experiment "[S21,BW64]" --n_epoch $N_EPOCH --drop $DROPOUT --wd $WD --lr $LR --lr_drop 101 --bs $BATCH_SIZE  --val_bs $BATCH_SIZE_VAL --lr_min 1e-6 --base_width $BASE_WIDTH --seed $SEED  --n_batches $N_BATCHES --bootstrap $BOOTRSTRAP > ../$LOGS_FLD/$SUFFIX.txt 2>&1 &
echo "Started training..."
sleep 3s

export SEED=42
export SUFFIX="${SEED}_${BASE_WIDTH}_${BATCH_SIZE}"
python -u train.py --use_visdom True --experiment "[S42,BW64]" --n_epoch $N_EPOCH --drop $DROPOUT --wd $WD --lr $LR --lr_drop 101 --bs $BATCH_SIZE  --val_bs $BATCH_SIZE_VAL --lr_min 1e-6 --base_width $BASE_WIDTH --seed $SEED  --n_batches $N_BATCHES --bootstrap $BOOTRSTRAP > ../$LOGS_FLD/$SUFFIX.txt 2>&1 &
echo "Started training..."
sleep 3s

export SEED=84
export SUFFIX="${SEED}_${BASE_WIDTH}_${BATCH_SIZE}"
python -u train.py --use_visdom True --experiment "[S84,BW64]" --n_epoch $N_EPOCH --drop $DROPOUT --wd $WD --lr $LR --lr_drop 101 --bs $BATCH_SIZE  --val_bs $BATCH_SIZE_VAL --lr_min 1e-6 --base_width $BASE_WIDTH --seed $SEED  --n_batches $N_BATCHES --bootstrap $BOOTRSTRAP > ../$LOGS_FLD/$SUFFIX.txt 2>&1 &
echo "Started training..."