Update exp_with_args.sh

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WANG Yue 2021-09-15 21:20:38 +08:00 committed by GitHub
parent 8f5593fc5a
commit 713a423e4d
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@ -1,7 +1,4 @@
export HF_DATASETS_CACHE="/export/share/wang.y/workspace/cache_data"
export TRANSFORMERS_CACHE="/export/share/wang.y/workspace/cache_model"
export XDG_CACHE_HOME="/export/share/wang.y/workspace/cache_model"
export WORKDIR="/export/share/wang.y/workspace/CodeT5_release"
WORKDIR="path_to_your_dir/CodeT5"
export PYTHONPATH=$WORKDIR
TASK=${1}
@ -16,11 +13,9 @@ TRG_LEN=${9}
PATIENCE=${10}
EPOCH=${11}
WARMUP=${12}
GPU_TYPE=${13}
RES_FN=${14}
MODEL_PATH='/export/share/wang.y/workspace/CodeT5_release/pretrained_models'
MODEL_DIR=${13}
SUMMARY_DIR=${14}
RES_FN=${15}
if [[ $DATA_NUM == -1 ]]; then
DATA_TAG='all'
@ -32,9 +27,9 @@ fi
FULL_MODEL_TAG=${MODEL_TAG}_${DATA_TAG}_lr${LR}_bs${BS}_src${SRC_LEN}_trg${TRG_LEN}_pat${PATIENCE}_e${EPOCH}
if [[ ${SUB_TASK} == none ]]; then
OUTPUT_DIR=saved_models/${TASK}/${FULL_MODEL_TAG}
OUTPUT_DIR=${MODEL_DIR}/${TASK}/${FULL_MODEL_TAG}
else
OUTPUT_DIR=saved_models/${TASK}/${SUB_TASK}/${FULL_MODEL_TAG}
OUTPUT_DIR=${MODEL_DIR}/${TASK}/${SUB_TASK}/${FULL_MODEL_TAG}
fi
CACHE_DIR=${OUTPUT_DIR}/cache_data
@ -47,23 +42,19 @@ mkdir -p ${RES_DIR}
if [[ $MODEL_TAG == roberta ]]; then
MODEL_TYPE=roberta
TOKENIZER=roberta-base
MODEL_NAME=roberta-base
MODEL_PATH=roberta-base
elif [[ $MODEL_TAG == codebert ]]; then
MODEL_TYPE=roberta
TOKENIZER=roberta-base
MODEL_NAME=microsoft/codebert-base
elif [[ $MODEL_TAG == bart_base ]]; then
MODEL_TYPE=bart
TOKENIZER=facebook/bart-base
MODEL_NAME=facebook/bart-base
MODEL_PATH=microsoft/codebert-base
elif [[ $MODEL_TAG == codet5_small ]]; then
MODEL_TYPE=codet5
TOKENIZER=roberta-base
MODEL_NAME=${MODEL_PATH}/codet5_small
MODEL_PATH=${WORKDIR}/pretrained_models/codet5_small
elif [[ $MODEL_TAG == codet5_base ]]; then
MODEL_TYPE=codet5
TOKENIZER=roberta-base
MODEL_NAME=${MODEL_PATH}/codet5_base
MODEL_PATH=${WORKDIR}/pretrained_models/codet5_base
fi
if [[ ${TASK} == 'clone' ]]; then
@ -74,11 +65,12 @@ fi
CUDA_VISIBLE_DEVICES=${GPU} \
/export/home/miniconda3/envs/${GPU_TYPE}/bin/python ${RUN_FN} ${MULTI_TASK_AUG} \
python ${RUN_FN} ${MULTI_TASK_AUG} \
--do_test --do_train --do_eval --do_eval_bleu --save_last_checkpoints --always_save_model \
--task ${TASK} --sub_task ${SUB_TASK} --model_type ${MODEL_TYPE} --data_num ${DATA_NUM} \
--num_train_epochs ${EPOCH} --warmup_steps ${WARMUP} --learning_rate ${LR}e-5 --patience ${PATIENCE} \
--tokenizer_name=${TOKENIZER} --model_name_or_path=${MODEL_NAME} --output_dir ${OUTPUT_DIR} \
--tokenizer_name=${TOKENIZER} --tokenizer_path=${WORKDIR}/tokenizer/salesforce \
--model_name_or_path=${MODEL_PATH} --output_dir ${OUTPUT_DIR} --summary_dir ${SUMMARY_DIR} \
--data_dir ${WORKDIR}/data --cache_path ${CACHE_DIR} --res_dir ${RES_DIR} --res_fn ${RES_FN} \
--train_batch_size ${BS} --eval_batch_size ${BS} --max_source_length ${SRC_LEN} --max_target_length ${TRG_LEN} \
2>&1 | tee ${LOG}
2>&1 | tee ${LOG}