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run_experiments.sh
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executable file
·77 lines (68 loc) · 2.23 KB
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#!/bin/bash
# color codes
black=\\e[0m
cyan=\\e[96m
red=\\e[91m
reset=\\033[0m
# function to print usage
print_usage() {
echo -e "Usage: $0 train {variant} {experiment_name}"
echo -e " $0 finetune {variant} {experiment_name} {base_model} {pretrained_ckpt_path}"
echo -e " $0 evaluate {variant} {experiment_name} {base_model} {dataset}"
echo -e " $0 test {variant} {experiment_name} {base_model} {dataset}${reset}"
}
# experiment mode
MODE=$1
variant=$2
experiment=$3
base_model=$4
if [ "$#" -lt 3 ] || [ "$#" -gt 5 ]; then
echo -e "${red}Incorrect arguments."
print_usage
exit 1
elif [ "$#" -eq 5 ]; then
if [ "$MODE" = "finetune" ]; then
pretrained_ckpt=$5
else
dataset=$5
fi
fi
## run experiments
if [ "$MODE" == "train" ]; then
# train
python run.py --do-train \
--variant ${variant} \
--eval-every 2000 --run-name ${experiment} #--recompute-features
elif [ "$MODE" == "finetune" ]; then
# train
python run.py --do-train \
--variant ${variant} \
--eval-every 10 \
--num-epochs 10 \
--run-name ${experiment} \
--base-model=${base_model} \
--finetune --pretrained-model=${pretrained_ckpt} #--recompute-features
elif [ "$MODE" == "evaluate" ]; then
# evaluate
python run.py --do-eval \
--variant ${variant} \
--run-name ${experiment} \
--sub-file mtl_submission_val.csv \
--output-dir output/${variant}.${base_model}.${experiment}-01 \
--eval-dir datasets/oodomain_val \
--base-model=${base_model} \
--eval-datasets=${dataset} #--recompute-features
elif [ "$MODE" == "test" ]; then
# evaluate
python run.py --do-eval \
--variant ${variant} \
--run-name ${experiment} \
--sub-file mtl_submission.csv \
--base-model=${base_model} \
--output-dir output/${variant}.${base_model}.${experiment}-01 \
--eval-datasets=${dataset}
else
# print error
echo -e "${red} Invalid mode"
print_usage
fi