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myrun.sh
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#!/bin/sh
if [ -z "$4" ]
then
echo "No Run id provided."
exit 0
else
RUN_ID=$4
fi
echo "RUN : "$RUN_ID
LOGDIR="perturb_log_files_"$RUN_ID"/"
SAVEDIR="save_dir_run_"$RUN_ID"/"
RESULTSDIR="results_"$RUN_ID"/"
DIF_TURN_LEN_RESULTS_DIR="different_his_len_results_"$RUN_ID"/"
GPU="$5"
mkdir -p $LOGDIR
mkdir -p $RESULTSDIR
mkdir -p $DIF_TURN_LEN_RESULTS_DIR
if [ -z "$1" ]
then
echo "No Run mode provided."
else
RUN_MODE=$1
fi
GPU_ARGS=" --gpu "$GPU
############################################### s2s ####################################################
if [ "$2" = "s2s_no_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -ord no"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "s2s_1_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -ord 1_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "s2s_2_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -ord 2_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "s2s_3_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -ord 3_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "s2s_full_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -ord full"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
############################################### s2s_att ####################################################
elif [ "$2" = "s2s_att_general_no_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -att general -ord no"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "s2s_att_general_1_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -att general -ord 1_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "s2s_att_general_2_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -att general -ord 2_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "s2s_att_general_3_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -att general -ord 3_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "s2s_att_general_full_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m seq2seq -att general -ord full"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
############################################### transformer ####################################################
elif [ "$2" = "transformer_no_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m transformer/generator -ord no"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
elif [ "$2" = "transformer_1_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m transformer/generator -ord 1_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
elif [ "$2" = "transformer_2_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m transformer/generator -ord 2_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
elif [ "$2" = "transformer_3_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m transformer/generator -ord 3_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
elif [ "$2" = "transformer_full_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m transformer/generator -ord full"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
######################################################### recosa #####################################################
elif [ "$2" = "recosa_no_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m recosa/generator -ord no -rnn_hid 300"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
elif [ "$2" = "recosa_1_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m recosa/generator -ord 1_order -rnn_hid 300"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
elif [ "$2" = "recosa_2_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m recosa/generator -ord 2_order -rnn_hid 300"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
elif [ "$2" = "recosa_3_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m recosa/generator -ord 3_order -rnn_hid 300"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
elif [ "$2" = "recosa_full_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m recosa/generator -ord full -rnn_hid 300"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -bs 64 --optimizer adam -lr 0.001 --lr-scheduler invsqrt --warmup-updates 4000 -eps 25 -veps 1 -stim 200"
############################################### Hred ####################################################
elif [ "$2" = "hred_no_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m hred -ord no"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "hred_1_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m hred -ord 1_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "hred_2_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m hred -ord 2_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "hred_3_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m hred -ord 3_order"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
elif [ "$2" = "hred_full_order" ]
then
echo "MODELTYPE: "$2
COMMON_ARGS=$GPU_ARGS" -m hred -ord full"
EVAL_MODEL_ARGS=$COMMON_ARGS" -bs 1 -d False -ne 1000"
TRAIN_MODEL_ARGS=$COMMON_ARGS" -vmt loss -eps 25 -veps 1 -stim 600 -bs 32 --optimizer adam --lr-scheduler invsqrt -lr 0.005 --dropout 0.3 --warmup-updates 4000"
else
echo "INVALID modeltype : "$2" Supported : s2s, s2s_att_general, transformer Order: no,1_order,2_order,3_order,full"
echo "Example train command : sh run.sh train <model_type> <dataset> <run_id>"
echo "Example perturb command : sh run.sh perturb <model_type> <dataset>"
exit 0
fi
if [ -z "$3" ]
then
echo "No Dataset type specified supplied"
exit 0
else
DATASET=$3
MF=$SAVEDIR"/model_"$3"_"$2
DF=$SAVEDIR"/model_"$3"_"$2".dict"
fi
if [ $RUN_MODE = "eval_model_on_test" ]
then
echo "MODE : "$RUN_MODE
for MODEL_TYPE in $2
do
for DATATYPE in "test" #valid
do
echo "---------------------"
echo "CONFIG : "$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_MY_TEST_NoPerturb"
LOGFILE=$LOGDIR/log_$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_my_test_no_perturb.txt"
python -W ignore parlai/scripts/my_eval_test.py -t $DATASET -mf $MF -sft True -pb "None" --datatype $DATATYPE > $LOGFILE
grep FINAL_REPORT $LOGFILE
done
done
elif [ $RUN_MODE = "display_model_results" ]
then
echo "MODE : "$RUN_MODE
for MODEL_TYPE in $2
do
for DATATYPE in "test" #valid
do
echo "---------------------"
echo "CONFIG : "$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_results"
LOGFILE=$RESULTSDIR/$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_results.txt"
python -W ignore parlai/scripts/display_model.py -t $DATASET -mf $MF -bs 1 --datatype $DATATYPE > $LOGFILE
done
done
elif [ $RUN_MODE = "eval_model_dif_his_turns_len" ]
then
echo "MODE : "$RUN_MODE
for MODEL_TYPE in $2
do
for DATATYPE in "test" #valid
do
echo "---------------------"
echo "CONFIG : "$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_dif_his_len_results"
LOGFILE=$DIF_TURN_LEN_RESULTS_DIR/$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_dif_his_len_results.txt"
python -W ignore parlai/scripts/eval_model_on_different_turn_len.py -t $DATASET -mf $MF -df $DF -bs 1 -sft True --datatype $DATATYPE > $LOGFILE
done
done
elif [ $RUN_MODE = "perturb" ]
then
echo "MODE : "$RUN_MODE
for MODEL_TYPE in $2
do
for DATATYPE in "test" #valid
do
echo "---------------------"
echo "CONFIG : "$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_NoPerturb"
LOGFILE=$LOGDIR/log_$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_no_perturb_mode_pert.txt"
python -W ignore examples/eval_model.py $EVAL_MODEL_ARGS -t $DATASET -mf $MF -sft True -pb "None" --datatype $DATATYPE > $LOGFILE
grep FINAL_REPORT $LOGFILE
for PERTURB_TYPE in "only_last" "shuffle" "reverse_utr_order" "drop_first" "drop_last"
do
echo "---------------------"
echo "CONFIG : "$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_"$PERTURB_TYPE
LOGFILE=$LOGDIR/log_$DATASET"_"$MODEL_TYPE"_"$DATATYPE"_"$PERTURB_TYPE"_mode_pert.txt"
python -W ignore examples/eval_model.py $EVAL_MODEL_ARGS -t $DATASET -mf $MF -sft True -pb $PERTURB_TYPE --datatype $DATATYPE > $LOGFILE
grep FINAL_REPORT $LOGFILE
done
done
done
elif [ $RUN_MODE = "train" ]
then
echo $TRAIN_MODEL_ARGS
python examples/train_model.py -t $DATASET -mf $MF $TRAIN_MODEL_ARGS
else
echo "Invalid Run mode provided."
exit 0
fi